diff --git a/envs.toml b/envs.toml
new file mode 100644
index 0000000000..8a136dd836
--- /dev/null
+++ b/envs.toml
@@ -0,0 +1,3 @@
+[smaht-submitr-pEqN3rsm]
+minor = "3.11"
+patch = "3.11.5"
diff --git a/poetry.lock b/poetry.lock
index 2f2ab0d0de..877e4aae4f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -107,17 +107,17 @@ lxml = ["lxml"]
 
 [[package]]
 name = "boto3"
-version = "1.43.58"
+version = "1.43.75"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "boto3-1.43.58-py3-none-any.whl", hash = "sha256:ce1a20cbcfaa1d0b3c8f568e2b6c7fbd34b842ea00e729d49a4b4de522828db9"},
-    {file = "boto3-1.43.58.tar.gz", hash = "sha256:12871fb50c383f1b9aa4ed6dd386ba689062baef730552e79d5a9cd782b53058"},
+    {file = "boto3-1.43.75-py3-none-any.whl", hash = "sha256:08a79edb68e6a0d65d305eb90188639313650e155aed015e86eef59d8475dde0"},
+    {file = "boto3-1.43.75.tar.gz", hash = "sha256:86da93d3d5b46a58b03fa51b598ffa4aeaff485a3000affacf78491c105e44f0"},
 ]
 
 [package.dependencies]
-botocore = ">=1.43.58,<1.44.0"
+botocore = ">=1.43.75,<1.44.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.19.0,<0.20.0"
 
@@ -126,13 +126,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.43.58"
+version = "1.43.75"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "botocore-1.43.58-py3-none-any.whl", hash = "sha256:f516159f0732da8249206163ccea3bd1f82ad2a9d184fe6ed447e1abdba4330e"},
-    {file = "botocore-1.43.58.tar.gz", hash = "sha256:e110ca53f65c128fe98df4d6d36a459b1db17c6114671c8a18becf151bf20909"},
+    {file = "botocore-1.43.75-py3-none-any.whl", hash = "sha256:121abc8b0b529bc4e29a28d1e8b096b20f26708cabe3d5ae4b3446747712aece"},
+    {file = "botocore-1.43.75.tar.gz", hash = "sha256:e8ed6b0f3cd398dfb9e08d7ca3a0b964152166a317a04e89c45ec91003327ffe"},
 ]
 
 [package.dependencies]
@@ -156,111 +156,111 @@ files = [
 
 [[package]]
 name = "cffi"
-version = "2.1.0"
+version = "2.1.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.10"
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 [package.dependencies]
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 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -565,46 +674,50 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "dcicutils"
-version = "8.19.0"
+version = "8.19.0.1b1"
 description = "Utility package for interacting with the 4DN Data Portal and other 4DN resources"
 optional = false
-python-versions = "<3.13,>=3.10"
-files = [
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-]
+python-versions = ">=3.10,<3.13"
+files = []
+develop = false
 
 [package.dependencies]
-appdirs = ">=1.4.4,<2.0.0"
+appdirs = "^1.4.4"
 aws-requests-auth = ">=0.4.2,<1"
-boto3 = ">=1.43.58,<2.0.0"
-botocore = ">=1.43.58,<2.0.0"
-chardet = ">=5.2.0,<6.0.0"
-cryptography = ">=43.0.1,<44.0.0"
-docker = ">=7.1.0,<8.0.0"
+boto3 = "^1.43.58"
+botocore = "^1.43.58"
+chardet = "^5.2.0"
+cryptography = "^43.0.1"
+docker = "^7.1.0"
 elasticsearch = "7.13.4"
-gitpython = ">=3.1.2,<4.0.0"
-jsonc-parser = ">=1.1.5,<2.0.0"
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-pyopenssl = ">=24.2.1,<25.0.0"
-pyperclip = ">=1.8.2,<2.0.0"
+gitpython = "^3.1.2"
+jsonc-parser = "^1.1.5"
+jsonschema = "^4.22.0"
+openpyxl = "^3.1.2"
+opensearch-py = "^2.0.1"
+PyJWT = "^2.6.0"
+pyopenssl = "^24.2.1"
+pyperclip = "^1.8.2"
 pyramid = "1.10.8"
 pytz = ">=2020.4"
-PyYAML = ">=6.0.1,<7.0.0"
-redis = ">=4.5.1,<5.0.0"
-requests = ">=2.27.1,<3.0.0"
-rfc3986 = ">=1.4.0,<2.0.0"
+PyYAML = "^6.0.1"
+redis = "^4.5.1"
+requests = "^2.27.1"
+rfc3986 = "^1.4.0"
 setuptools = ">=70.3,<82"
-shortuuid = ">=1.0.13,<2.0.0"
-structlog = ">=19.2.0,<20.0.0"
+shortuuid = "^1.0.13"
+structlog = "^19.2.0"
 toml = ">=0.10.1,<1"
-tqdm = ">=4.66.2,<5.0.0"
+tqdm = "^4.66.2"
 typing-extensions = ">=3.8"
-urllib3 = ">=1.26.19,<2.0.0"
-webtest = ">=2.0.34,<3.0.0"
+urllib3 = "^1.26.19"
+webtest = "^2.0.34"
+
+[package.source]
+type = "git"
+url = "https://github.com/4dn-dcic/utils.git"
+reference = "fm/protected-donor-dcicutils"
+resolved_reference = "0e4efb47b857ce6c81ea42907b5219cf4055f716"
 
 [[package]]
 name = "docker"
@@ -730,13 +843,13 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.57"
+version = "3.1.59"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -762,25 +875,25 @@ beautifulsoup4 = "*"
 
 [[package]]
 name = "google-api-core"
-version = "2.33.0"
+version = "2.34.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.10"
 files = [
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+    {file = "google_api_core-2.34.0.tar.gz", hash = "sha256:98a779fe72de956eb1c9c2f47ff4c4432a668ece1a002ec38bed07ec2698ae59"},
 ]
 
 [package.dependencies]
 google-auth = ">=2.14.1,<3.0.0"
-googleapis-common-protos = ">=1.63.2,<2.0.0"
-proto-plus = ">=1.24.0,<2.0.0"
-protobuf = ">=5.29.6,<8.0.0"
+googleapis-common-protos = ">=1.69.2,<2.0.0"
+proto-plus = ">=1.26.1,<2.0.0"
+protobuf = ">=6.33.5,<8.0.0"
 requests = ">=2.33.0,<3.0.0"
 
 [package.extras]
 async-rest = ["aiohttp (>=3.13.4)", "google-auth[aiohttp] (>=2.14.1,<3.0.0)"]
-grpc = ["grpcio (>=1.41.0,<2.0.0)", "grpcio (>=1.49.1,<2.0.0)", "grpcio (>=1.75.1,<2.0.0)", "grpcio-status (>=1.41.0,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0)", "grpcio-status (>=1.75.1,<2.0.0)"]
+grpc = ["grpcio (>=1.59.0,<2.0.0)", "grpcio (>=1.75.1,<2.0.0)", "grpcio-status (>=1.59.0,<2.0.0)", "grpcio-status (>=1.75.1,<2.0.0)"]
 
 [[package]]
 name = "google-api-python-client"
@@ -802,13 +915,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.56.2"
+version = "2.56.3"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "google_auth-2.56.2-py3-none-any.whl", hash = "sha256:c8270ea95b2697b74e3d8438ae9c5b898e38b623b915c7b5c5635921e7de68a6"},
-    {file = "google_auth-2.56.2.tar.gz", hash = "sha256:e28f103ca8091fb7012b99c44243d7366c29863713b8e34a220c3322b7a07051"},
+    {file = "google_auth-2.56.3-py3-none-any.whl", hash = "sha256:8ec438808f813ad034535000261eed1067475d229d05bbf4216e78c3f2362e53"},
+    {file = "google_auth-2.56.3.tar.gz", hash = "sha256:40e229fc901f0a305b553050e5fce562d509bee0435be053abfa91582b51b90c"},
 ]
 
 [package.dependencies]
@@ -830,17 +943,17 @@ urllib3 = ["packaging (>=20.0)", "urllib3 (>=1.26.15,<3.0.0)"]
 
 [[package]]
 name = "google-auth-httplib2"
-version = "0.4.0"
+version = "0.4.1"
 description = "Google Authentication Library: httplib2 transport"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "google_auth_httplib2-0.4.0-py3-none-any.whl", hash = "sha256:8e55cfafa3358cba85f6cad4a886138e88e158d71e7e5c9ee5936a5c1507fb91"},
-    {file = "google_auth_httplib2-0.4.0.tar.gz", hash = "sha256:d5b030a204b7a4b4d553ba9ca701b62481ee2b74419325580be70f7d85ffed35"},
+    {file = "google_auth_httplib2-0.4.1-py3-none-any.whl", hash = "sha256:67088a8387dc3f66016a690634f1cb9b7a48a31406f8998e088efc64203e7a12"},
+    {file = "google_auth_httplib2-0.4.1.tar.gz", hash = "sha256:125b1bb4fcfdd2d97f19b673c1f46f831603d0acaffe415c8a35dadb312552a1"},
 ]
 
 [package.dependencies]
-google-auth = ">=1.32.0,<3.0.0"
+google-auth = ">=2.14.1,<3.0.0"
 httplib2 = ">=0.19.0,<1.0.0"
 
 [[package]]
@@ -863,21 +976,21 @@ tool = ["click (>=6.0.0)"]
 
 [[package]]
 name = "google-cloud-core"
-version = "2.6.0"
+version = "2.6.1"
 description = "Google Cloud API client core library"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "google_cloud_core-2.6.0-py3-none-any.whl", hash = "sha256:6d63ac8e5eca6d9e4319d0a1e2265fadcd7f1049904378caecfa01cf52dd869e"},
-    {file = "google_cloud_core-2.6.0.tar.gz", hash = "sha256:e76149739f90fac1fc6757c09f47eaccb3145b54adbd7759b0f7c4b235f46c83"},
+    {file = "google_cloud_core-2.6.1-py3-none-any.whl", hash = "sha256:2682a8a4474a32f56292fb4bca7fa7e4fb0b4af958f6abfe4bca8d195747fd45"},
+    {file = "google_cloud_core-2.6.1.tar.gz", hash = "sha256:1e044b131f2ae097b92312fa195164b0aeb6dc6a88e00231e1210516314c420c"},
 ]
 
 [package.dependencies]
-google-api-core = ">=2.11.0,<3.0.0"
+google-api-core = ">=2.28.0,<3.0.0"
 google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
 
 [package.extras]
-grpc = ["grpcio (>=1.47.0,<2.0.0)", "grpcio (>=1.75.1,<2.0.0)", "grpcio-status (>=1.47.0,<2.0.0)"]
+grpc = ["grpcio (>=1.59.0,<2.0.0)", "grpcio (>=1.75.1,<2.0.0)", "grpcio-status (>=1.59.0,<2.0.0)", "grpcio-status (>=1.75.1,<2.0.0)"]
 
 [[package]]
 name = "google-cloud-storage"
@@ -961,20 +1074,20 @@ six = "*"
 
 [[package]]
 name = "google-resumable-media"
-version = "2.10.0"
+version = "2.10.1"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
 python-versions = ">=3.10"
 files = [
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-    {file = "google_resumable_media-2.10.0.tar.gz", hash = "sha256:e324bc9d0fdae4c52a08ae90456edc4e71ece858399e1217ac0eb3a51d6bc6ee"},
+    {file = "google_resumable_media-2.10.1-py3-none-any.whl", hash = "sha256:4e2cbc704207ddc09f23b1f18e8ef4a4ccbfe0f1768b370e5c969704adbd0a1c"},
+    {file = "google_resumable_media-2.10.1.tar.gz", hash = "sha256:224975032ddb73f7ed9e2f0f4cc08ed1b06874c52d48cc8533e3eb72980b21a0"},
 ]
 
 [package.dependencies]
 google-crc32c = ">=1.0.0,<2.0.0"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "google-auth (>=1.22.0,<2.0.0)"]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "google-auth (>=2.14.1,<3.0.0)"]
 requests = ["requests (>=2.18.0,<3.0.0)"]
 
 [[package]]
@@ -1002,20 +1115,20 @@ oauthlib = ">=3.0.1"
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.75.0"
+version = "1.75.1"
 description = "Common protobufs used in Google APIs"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
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-    {file = "googleapis_common_protos-1.75.0.tar.gz", hash = "sha256:53a062ff3c32552fbd62c11fe23768b78e4ddf0494d5e5fd97d3f4689c75fbbd"},
+    {file = "googleapis_common_protos-1.75.1-py3-none-any.whl", hash = "sha256:28a1934bcd33b9c9da66ac301a0a4227e3367f095a17d0375cb98f0a09d93b79"},
+    {file = "googleapis_common_protos-1.75.1.tar.gz", hash = "sha256:d3042c6c5a2d4e67113104d6b6818b59b6bd92a197f2a91508e801fe815cf071"},
 ]
 
 [package.dependencies]
-protobuf = ">=4.25.8,<8.0.0"
+protobuf = ">=6.33.5,<8.0.0"
 
 [package.extras]
-grpc = ["grpcio (>=1.44.0,<2.0.0)"]
+grpc = ["grpcio (>=1.59.0,<2.0.0)"]
 
 [[package]]
 name = "httplib2"
@@ -1048,17 +1161,17 @@ testing = ["mock", "pytest", "pytest-cov", "watchdog"]
 
 [[package]]
 name = "idna"
-version = "3.18"
+version = "3.19"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "idna-3.18-py3-none-any.whl", hash = "sha256:7f952cbe720b688055e3f87de14f5c3e5fdaa8bc3928985c4077ca689de849a2"},
-    {file = "idna-3.18.tar.gz", hash = "sha256:ffb385a7e039654cef1ab9ef32c6fafe283c0c0467bba1d9029738ce4a14a848"},
+    {file = "idna-3.19-py3-none-any.whl", hash = "sha256:815e7be7a7806d54abb586dc943addc79e8b2ee16915059658cbeff4b1b43bf4"},
+    {file = "idna-3.19.tar.gz", hash = "sha256:5e0811a4383b21dc5838069f801c4fb62113b7447663d2530d2bd6e77b49bf15"},
 ]
 
 [package.extras]
-all = ["mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+all = ["coverage (>=7.10.0)", "hypothesis (>=6.141.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.16.0)", "ty (>=0.0.37)"]
 
 [[package]]
 name = "imagesize"
@@ -1353,13 +1466,13 @@ kerberos = ["requests_kerberos"]
 
 [[package]]
 name = "packaging"
-version = "26.2"
+version = "26.3"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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-    {file = "packaging-26.2.tar.gz", hash = "sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661"},
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+    {file = "packaging-26.3.tar.gz", hash = "sha256:94edc256424af38762eb31306eed28beb9f0efc50a8837492c9d6fd6004aed79"},
 ]
 
 [[package]]
@@ -1474,36 +1587,36 @@ tests = ["pytest (>=9)", "pytest-cov", "pytest-lazy-fixtures"]
 
 [[package]]
 name = "proto-plus"
-version = "1.28.2"
+version = "1.28.3"
 description = "Beautiful, Pythonic protocol buffers"
 optional = false
 python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
-protobuf = ">=4.25.8,<8.0.0"
+protobuf = ">=6.33.5,<8.0.0"
 
 [package.extras]
-testing = ["google-api-core (>=1.31.5)"]
+testing = ["google-api-core (>=2.25.0)"]
 
 [[package]]
 name = "protobuf"
-version = "7.35.1"
+version = "7.36.0"
 description = ""
 optional = false
 python-versions = ">=3.10"
 files = [
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 ]
 
 [[package]]
@@ -1566,13 +1679,13 @@ files = [
 
 [[package]]
 name = "pygments"
-version = "2.20.0"
+version = "2.21.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
@@ -1580,23 +1693,23 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyinstaller"
-version = "6.21.0"
+version = "6.22.2"
 description = "PyInstaller bundles a Python application and all its dependencies into a single package."
 optional = false
 python-versions = "<3.16,>=3.8"
 files = [
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 [[package]]
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+    {file = "zope_interface-8.6-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:66ab8c5d8820aa378968c16b7a3cb051aca342eafa649c9a363182f572d75ccb"},
+    {file = "zope_interface-8.6-cp314-cp314t-win_amd64.whl", hash = "sha256:fcc86414ee0e6b77416de81b8dead5900719b3f71b7875d8d1f87ae4e166a11f"},
+    {file = "zope_interface-8.6.tar.gz", hash = "sha256:b40ef9b4873afb5d0dec02b8d2dfde1cf18c72337b60c99cb735961e0bac05c0"},
 ]
 
 [package.extras]
@@ -2745,4 +2858,4 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "c54402b23a0d75b32f33f0f4d286a481b908609c9c925aad5a3fc063274cc14f"
+content-hash = "805c5a6785026337297f1296abc36c039e2a4a5e1ab7d72350c65f5efc91b424"
diff --git a/pyproject.toml b/pyproject.toml
index de8dd23476..a280dfb5b3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "smaht-submitr"
-version = "1.16.0"
+version = "1.16.0.1b2"
 description = "Support for uploading file submissions to SMAHT."
 # TODO: Update this email address when a more specific one is available for SMaHT.
 authors = ["SMaHT DAC <smhelp@hms-dbmi.atlassian.net >"]
@@ -47,7 +47,8 @@ include = [
 
 python = ">=3.10,<3.13"
 boto3 = "^1.43.58"
-dcicutils = "^8.19.0"
+# dcicutils = "^8.19.0"
+dcicutils = { git = "https://github.com/4dn-dcic/utils.git", branch = "fm/protected-donor-dcicutils" }
 PyYAML = "^6.0.1"
 requests = "^2.31.0"
 googleapi = "^0.1.0"
diff --git a/submitr/scripts/submit_metadata_bundle.py b/submitr/scripts/submit_metadata_bundle.py
index ff71ee01c1..4744736506 100644
--- a/submitr/scripts/submit_metadata_bundle.py
+++ b/submitr/scripts/submit_metadata_bundle.py
@@ -233,6 +233,10 @@ def main(simulated_args_for_testing=None):
     parser.add_argument('--timeout', help="Wait timeout for server validation/submission.")
     parser.add_argument('--debug', action="store_true", help="Debug output.", default=False)
     parser.add_argument('--debug-sleep', help="Sleep on each row read for troubleshooting/testing.", default=False)
+    # Retained as a hidden compatibility switch for internal workflows/tests.
+    parser.add_argument('--no-transform-protected-donor', action="store_true",
+                        help=argparse.SUPPRESS, default=False)
+    parser.add_argument('--save-transformed-workbook', help=argparse.SUPPRESS, default=None)
     parser.add_argument('--skip-validator', action='append', dest='skip_validators',
                         help=argparse.SUPPRESS, default=None)
     parser.add_argument('--ping', action="store_true", help="Ping server.", default=False)
@@ -336,6 +340,10 @@ def main(simulated_args_for_testing=None):
         else:
             args.timeout = int(args.timeout)
 
+    if args.no_transform_protected_donor and args.save_transformed_workbook:
+        PRINT("May not specify both --no-transform-protected-donor and --save-transformed-workbook.")
+        sys.exit(2)
+
     if args.info:
         if not os.path.exists(args.bundle_filename):
             PRINT(f"File does not exist: {args.bundle_filename}")
@@ -392,7 +400,9 @@ def main(simulated_args_for_testing=None):
                              timeout=args.timeout,
                              debug=args.debug,
                              debug_sleep=args.debug_sleep,
-                             skip_validators=args.skip_validators)
+                             skip_validators=args.skip_validators,
+                             transform_protected_donor=not args.no_transform_protected_donor,
+                             transformed_workbook_path=args.save_transformed_workbook)
 
 
 def _sanity_check_submitted_file(file_name: str) -> bool:
diff --git a/submitr/submission.py b/submitr/submission.py
index c2d636777d..57eb2ca85f 100644
--- a/submitr/submission.py
+++ b/submitr/submission.py
@@ -1,5 +1,6 @@
 import ast
 import boto3
+import openpyxl
 from botocore.exceptions import NoCredentialsError as BotoNoCredentialsError
 from functools import lru_cache
 import io
@@ -42,6 +43,10 @@
 )
 from submitr.base import DEFAULT_APP
 from dcicutils.submitr.custom_excel import CustomExcel
+from dcicutils.submitr.donor_transformer import (
+    ProtectedDonorTransformError,
+    ProtectedDonorWorkbookTransformer,
+)
 from submitr.exceptions import PortalPermissionError
 from submitr.file_for_upload import FilesForUpload, get_file_upload_bucket
 from submitr.metadata_template import (
@@ -499,6 +504,228 @@ def _ingestion_submission_item_url(server, uuid):
 
 # TRY_OLD_PROTOCOL = True
 DEBUG_PROTOCOL = environ_bool("DEBUG_PROTOCOL", default=False)
+TRANSFORMED_WORKBOOK_SUFFIX = ".transformed"
+
+
+def _is_excel_workbook(file_name: Optional[str]) -> bool:
+    return isinstance(file_name, (str, os.PathLike)) and is_excel_file_name(str(file_name))
+
+
+def _is_hidden_workbook_sheet(sheet) -> bool:
+    title = sheet.title
+    return sheet.sheet_state == "hidden" or any(
+        title.startswith(left) and title.endswith(right)
+        for left, right in (("(", ")"), ("[", "]"), ("{", "}"), ("<", ">"))
+    )
+
+
+def _load_protected_donor_workbooks(file_name: str):
+    """Load formula and cached-value views of a workbook for ProtectedDonor handling."""
+    try:
+        # CustomExcel, which performs normal ingestion, deliberately uses data_only=True.
+        # Keep analysis aligned with that representation while retaining the formula view
+        # solely to diagnose missing or unusable cached donor references.
+        formula_workbook = openpyxl.load_workbook(file_name, data_only=False)
+        cached_workbook = openpyxl.load_workbook(file_name, data_only=True)
+    except Exception as error:
+        raise ProtectedDonorTransformError(
+            f"Unable to load ProtectedDonor workbook {file_name!r}: {error}"
+        ) from error
+    return formula_workbook, cached_workbook
+
+
+def _validate_cached_formula_donor_references(formula_workbook, cached_workbook, file_name: str):
+    """Reject formula donor links whose cached values cannot drive ingestion.
+
+    Formula evaluation is intentionally out of scope.  A cached value is acceptable only
+    when it is a string containing one of the donor identifier tokens understood by the
+    dcicutils transformer; the transformer then validates whether that identifier exists.
+    """
+    protected_reference_sheets = {
+        "Demographic",
+        "DeathCircumstances",
+        "FamilyHistory",
+        "MedicalHistory",
+        "TissueCollection",
+    }
+    for formula_sheet in formula_workbook.worksheets:
+        if _is_hidden_workbook_sheet(formula_sheet):
+            continue
+        if CustomExcel.effective_sheet_name(formula_sheet.title) not in protected_reference_sheets:
+            continue
+        cached_sheet = cached_workbook[formula_sheet.title]
+        headers = []
+        for cell in formula_sheet[1]:
+            if cell.value is None or not str(cell.value).strip():
+                break
+            headers.append(str(cell.value).strip())
+        try:
+            donor_column = headers.index("donor") + 1
+        except ValueError:
+            continue
+        for row_number in range(2, formula_sheet.max_row + 1):
+            formula_cell = formula_sheet.cell(row_number, donor_column)
+            if formula_cell.data_type != "f":
+                continue
+            cached_value = cached_sheet.cell(row_number, donor_column).value
+            location = f"{formula_sheet.title}!{formula_cell.coordinate}"
+            if not isinstance(cached_value, str) or not cached_value.strip():
+                raise ProtectedDonorTransformError(
+                    f"Formula-backed donor reference at {location} in {file_name!r} "
+                    "has no valid cached value; save the workbook with a cached donor "
+                    "identifier before submitting (formula evaluation is not supported)."
+                )
+            cached_value = cached_value.strip()
+            if "_DONOR_" not in cached_value and "_PROTECTED-DONOR_" not in cached_value:
+                raise ProtectedDonorTransformError(
+                    f"Formula-backed donor reference at {location} in {file_name!r} "
+                    f"has invalid cached value {cached_value!r}; expected a Donor or "
+                    "ProtectedDonor identifier (formula evaluation is not supported)."
+                )
+
+
+def _analyze_protected_donor_workbook(file_name: Optional[str], portal):
+    """Analyze the cached-value workbook used by normal CustomExcel ingestion."""
+    if not _is_excel_workbook(file_name):
+        return None
+    formula_workbook, cached_workbook = _load_protected_donor_workbooks(str(file_name))
+    _validate_cached_formula_donor_references(formula_workbook, cached_workbook, str(file_name))
+    # Do not hide transformer/API errors: dcicutils owns the business rules and
+    # its required analysis API must be present in the runtime environment.
+    return ProtectedDonorWorkbookTransformer(
+        effective_sheet_name=CustomExcel.effective_sheet_name
+    ).analyze(cached_workbook, portal=portal)
+
+
+def _default_transformed_workbook_path(file_name: str) -> str:
+    directory, basename = os.path.split(os.path.abspath(os.path.expanduser(file_name)))
+    stem, extension = os.path.splitext(basename)
+    return os.path.join(directory, f"{stem}{TRANSFORMED_WORKBOOK_SUFFIX}{extension or '.xlsx'}")
+
+
+def _prepare_protected_donor_transform(
+    *,
+    portal: Portal,
+    ingestion_filename: str,
+    submission_centers: Optional[List[str]],
+    validation: bool,
+    no_query: bool,
+    transform_protected_donor: bool,
+    transformed_workbook_path: Optional[str],
+) -> Tuple[bool, Optional[str]]:
+    """Decide whether dcicutils should transform and save this workbook.
+
+    There is intentionally no prompt here. Analysis is read-only and the
+    transformer subsequently raises its detailed error for missing or invalid
+    references before changing any cells.
+    """
+    del submission_centers, validation, no_query  # retained for CLI compatibility
+    if not transform_protected_donor or not _is_excel_workbook(ingestion_filename):
+        return False, None
+
+    analysis = _analyze_protected_donor_workbook(ingestion_filename, portal)
+    if analysis is None or not analysis.references:
+        return False, None
+    if analysis.invalid_references or analysis.missing_references:
+        # Ask dcicutils to raise its canonical error before selecting an output
+        # path or allowing any workbook mutation.
+        _, workbook = _load_protected_donor_workbooks(ingestion_filename)
+        ProtectedDonorWorkbookTransformer(
+            effective_sheet_name=CustomExcel.effective_sheet_name
+        ).transform(workbook, portal=portal)
+        raise AssertionError("ProtectedDonor analysis and transformation disagreed")
+    if not analysis.needs_transformation:
+        # A valid workbook containing only ProtectedDonor references is already
+        # transformed; do not rewrite it or manufacture an output workbook.
+        return False, None
+
+    output_path = os.path.abspath(os.path.expanduser(
+        transformed_workbook_path or _default_transformed_workbook_path(ingestion_filename)
+    ))
+    input_path = os.path.abspath(os.path.expanduser(ingestion_filename))
+    if output_path == input_path:
+        PRINT(f"ERROR: Transformed workbook output path must differ from input workbook path: {output_path}")
+        sys.exit(1)
+    return True, output_path
+
+
+def _stage_protected_donor_workbook(target_path: str) -> str:
+    """Reserve a same-directory temporary path for an atomic transformed output."""
+    directory = os.path.dirname(os.path.abspath(target_path))
+    try:
+        file_descriptor, staged_path = tempfile.mkstemp(
+            dir=directory,
+            prefix=f".{os.path.basename(target_path)}.",
+            suffix=".xlsx",
+        )
+        os.close(file_descriptor)
+    except Exception as error:
+        raise ProtectedDonorTransformError(
+            f"Unable to stage transformed ProtectedDonor workbook for {target_path!r}: {error}"
+        ) from error
+    return staged_path
+
+
+def _cleanup_staged_protected_donor_workbook(staged_path: Optional[str]) -> None:
+    if staged_path and os.path.exists(staged_path):
+        try:
+            os.unlink(staged_path)
+        except OSError:
+            pass
+
+
+def _commit_staged_protected_donor_workbook(staged_path: str, target_path: str) -> None:
+    """Validate and atomically publish a staged transformed workbook."""
+    if not os.path.exists(staged_path):
+        raise ProtectedDonorTransformError(
+            f"ProtectedDonor transformation did not create staged workbook {staged_path!r}"
+        )
+    try:
+        # The StructuredDataSet has already consumed the in-memory workbook, but reopen
+        # the saved artifact before replacing a user's prior target.
+        openpyxl.load_workbook(staged_path, data_only=True)
+    except Exception as error:
+        raise ProtectedDonorTransformError(
+            f"Transformed ProtectedDonor workbook {staged_path!r} failed validation: {error}"
+        ) from error
+    try:
+        os.replace(staged_path, target_path)
+    except Exception as error:
+        raise ProtectedDonorTransformError(
+            f"Unable to atomically replace transformed ProtectedDonor workbook "
+            f"{target_path!r}: {error}"
+        ) from error
+
+
+def _ensure_protected_donor_transformed_workbook(
+    ingestion_filename: str,
+    portal: Portal,
+    transformed_workbook_path: str,
+) -> StructuredDataSet:
+    """Build mapped data and publish the transformed workbook when local validation is skipped."""
+    staged_path = _stage_protected_donor_workbook(transformed_workbook_path)
+    try:
+        try:
+            structured_data = StructuredDataSet(
+                file=ingestion_filename,
+                portal=portal,
+                excel_class=CustomExcel.with_portal(
+                    portal,
+                    transform_protected_donor=True,
+                    transformed_workbook_path=staged_path,
+                    allow_existing_staging_path=True,
+                ),
+                norefs=True,
+            )
+        except Exception as error:
+            raise ProtectedDonorTransformError(
+                f"Unable to load or transform ProtectedDonor workbook "
+                f"{ingestion_filename!r} for remote ingestion: {error}"
+            ) from error
+        _commit_staged_protected_donor_workbook(staged_path, transformed_workbook_path)
+        return structured_data
+    finally:
+        _cleanup_staged_protected_donor_workbook(staged_path)
 
 
 def _initiate_server_ingestion_process(
@@ -524,9 +751,9 @@ def _initiate_server_ingestion_process(
 ) -> str:
     # upload_filename, if provided, is the file actually POSTed to the portal as the
     # datafile.  ingestion_filename is still used for all metadata stored on the
-    # IngestionSubmission item (ingestion_directory, datafile_size, datafile_checksum)
-    # so that the portal records the path, size and checksum of the original source file
-    # even when a pre-transformed temp file is being uploaded in its place.
+    # IngestionSubmission item (ingestion_directory, datafile_size, datafile_checksum).
+    # Callers pass whichever path they consider the file of record here. The actual
+    # upload may be a temporary JSON serialization of already-mapped StructuredDataSet.data.
 
     if isinstance(validation_ingestion_submission_object, dict):
         # This ingestion action is for a submission (rather than for a validation),
@@ -671,11 +898,11 @@ def _post_submission(
         )
     else:
         # upload_filename, if provided, is the serialised JSON of already-transformed data
-        # (written by _pre_transform_to_temp_json) and replaces the raw source file for
-        # the upload POST only.  All IngestionSubmission metadata (ingestion_directory,
+        # (written by _pre_transform_to_temp_json) and replaces ingestion_filename for the
+        # upload POST only.  All IngestionSubmission metadata (ingestion_directory,
         # datafile_size, datafile_checksum) was already computed from ingestion_filename
-        # in _initiate_server_ingestion_process, so the portal stores the correct
-        # original-file provenance regardless of which file is actually uploaded.
+        # in _initiate_server_ingestion_process, so the portal's recorded provenance
+        # matches the file of record even when a mapped JSON payload is uploaded instead.
         file_post_data = _post_files_data(
             submission_protocol=submission_protocol,
             ingestion_filename=upload_filename or ingestion_filename,
@@ -747,6 +974,24 @@ def _pre_transform_to_temp_json(ingestion_filename: str, structured_data) -> Opt
         return f.name
 
 
+def _pre_transform_to_temp_json_for_excel(
+    ingestion_filename: str,
+    structured_data: Optional[StructuredDataSet],
+    portal: Portal,
+) -> Optional[str]:
+    if not _is_excel_workbook(ingestion_filename):
+        return None
+    transform_source = structured_data
+    if transform_source is None:
+        transform_source = StructuredDataSet(
+            file=ingestion_filename,
+            portal=portal,
+            excel_class=CustomExcel.with_portal(portal),
+            norefs=True,
+        )
+    return _pre_transform_to_temp_json(ingestion_filename, transform_source)
+
+
 def _resolve_app_args(
     institution, project, lab, award, app, consortium, submission_center
 ):
@@ -866,6 +1111,8 @@ def submit_any_ingestion(
     debug=False,
     debug_sleep=None,
     skip_validators=None,
+    transform_protected_donor: bool = True,
+    transformed_workbook_path: Optional[str] = None,
 ):
     """
     Does the core action of submitting a metadata bundle.
@@ -1059,6 +1306,20 @@ def extract_identifying_value_from_path(path: str) -> str:
             f"Metadata file to {'validate' if validation else 'ingest'}: {format_path(ingestion_filename)}"
         )
 
+    protected_donor_transform, protected_donor_transformed_workbook = _prepare_protected_donor_transform(
+        portal=portal,
+        ingestion_filename=ingestion_filename,
+        submission_centers=app_args.get("submission_centers"),
+        validation=validation,
+        no_query=no_query,
+        transform_protected_donor=transform_protected_donor,
+        transformed_workbook_path=transformed_workbook_path,
+    )
+
+    if not json_only and protected_donor_transform:
+        PRINT("ProtectedDonor transformation is occurring.")
+        PRINT(f"ProtectedDonor transformed workbook: {format_path(protected_donor_transformed_workbook)}")
+
     if verbose:
         SHOW(f"Metadata bundle upload bucket: {metadata_bundles_bucket}")
 
@@ -1093,6 +1354,8 @@ def extract_identifying_value_from_path(path: str) -> str:
             debug=debug,
             debug_sleep=debug_sleep,
             skip_validators=skip_validators,
+            transform_protected_donor=protected_donor_transform,
+            transformed_workbook_path=protected_donor_transformed_workbook,
         )
         if validate_local_only:
             # We actually do exit from _validate_locally if validate_local_only is True.
@@ -1105,6 +1368,18 @@ def extract_identifying_value_from_path(path: str) -> str:
             f" {'--validate-remote-only' if validate_remote_only else '--validate-local-skip'})."
         )
 
+    if protected_donor_transform and structured_data is None:
+        structured_data = _ensure_protected_donor_transformed_workbook(
+            ingestion_filename,
+            portal,
+            protected_donor_transformed_workbook,
+        )
+    if protected_donor_transform:
+        assert protected_donor_transformed_workbook is not None
+    remote_ingestion_filename = (
+        protected_donor_transformed_workbook if protected_donor_transform else ingestion_filename
+    )
+
     # Nevermind: Too confusing for both testing and general usage
     # to have different behaviours for admin and non-admin users.
     # if is_admin_user and not no_query:
@@ -1120,33 +1395,16 @@ def extract_identifying_value_from_path(path: str) -> str:
 
         SHOW(f"Continuing with additional (server) validation: {portal.server}")
 
-        # Determine the data source for server validation.
-        #
-        # Normally structured_data is built during local validation above and
-        # has already had CustomExcel column mapping applied (transformation is done
-        # as part of StructuredDataSet.load_file()).  When --validate-remote-only is
-        # used the user explicitly skipped local validation, so structured_data is None;
-        # in this case we build a lightweight StructuredDataSet here (norefs=True skips
-        # reference resolution) solely to apply the transformation.
-        _transform_source = structured_data
-        if _transform_source is None and ingestion_filename.endswith((".xlsx", ".xls")):
-            _transform_source = StructuredDataSet(
-                file=ingestion_filename,
-                portal=portal,
-                excel_class=CustomExcel.with_portal(portal),
-                norefs=True,
-            )
-
-        temp_json = _pre_transform_to_temp_json(ingestion_filename, _transform_source)
+        validation_upload_filename = _pre_transform_to_temp_json_for_excel(
+            ingestion_filename,
+            structured_data,
+            portal,
+        )
         try:
-            # if temp_json is None (no custom mapping or non-Excel input) this is a no-op
-            # and the original file is uploaded as before.
-            # The temp file only needs to exist for the duration of _initiate_server_ingestion_process
-            # (the upload POST); the finally block deletes it immediately after.
             validation_uuid = _initiate_server_ingestion_process(
                 portal=portal,
-                ingestion_filename=ingestion_filename,
-                upload_filename=temp_json,
+                ingestion_filename=remote_ingestion_filename,
+                upload_filename=validation_upload_filename,
                 is_server_validation=True,
                 consortia=app_args.get("consortia"),
                 submission_centers=app_args.get("submission_centers"),
@@ -1168,8 +1426,8 @@ def extract_identifying_value_from_path(path: str) -> str:
                 debug_sleep=debug_sleep,
             )
         finally:
-            if temp_json and os.path.exists(temp_json):
-                os.unlink(temp_json)
+            if validation_upload_filename and os.path.exists(validation_upload_filename):
+                os.unlink(validation_upload_filename)
 
         SHOW(f"Validation tracking ID: {validation_uuid}")
 
@@ -1209,7 +1467,7 @@ def extract_identifying_value_from_path(path: str) -> str:
     if validation:
         do_any_uploads(
             structured_data,
-            metadata_file=ingestion_filename,
+            metadata_file=remote_ingestion_filename,
             main_search_directory=upload_folder,
             main_search_directory_recursively=subfolders,
             cloud_store=rclone_google,
@@ -1222,34 +1480,26 @@ def extract_identifying_value_from_path(path: str) -> str:
     # Server submission.
 
     SHOW(
-        f"Ready to submit your metadata to {portal.server}: {format_path(ingestion_filename)}"
+        f"Ready to submit your metadata to {portal.server}: {format_path(remote_ingestion_filename)}"
     )
-    if not yes_or_no("Continue on with the actual submission?"):
+    submission_prompt = (
+        "ProtectedDonor transformation has occurred - Do you still wish to continue?"
+        if protected_donor_transform
+        else "Continue on with the actual submission?"
+    )
+    if not yes_or_no(submission_prompt):
         sys.exit(0)
 
-    # Apply the same pre-transform logic as for server validation: if the
-    # ingestion file is an Excel workbook, serialise the already-transformed
-    # structured_data.data to a temp JSON so the portal receives schema-compliant
-    # data rather than the raw workbook.  structured_data may be None when local
-    # validation was skipped (--validate-local-skip), in which case we build a
-    # lightweight transform-only pass before serialising.
-    _submission_transform_source = structured_data
-    if _submission_transform_source is None and ingestion_filename.endswith((".xlsx", ".xls")):
-        _submission_transform_source = StructuredDataSet(
-            file=ingestion_filename,
-            portal=portal,
-            excel_class=CustomExcel.with_portal(portal),
-            norefs=True,
-        )
-
-    _submission_temp_json = _pre_transform_to_temp_json(
-        ingestion_filename, _submission_transform_source
+    submission_upload_filename = _pre_transform_to_temp_json_for_excel(
+        ingestion_filename,
+        structured_data,
+        portal,
     )
     try:
         submission_uuid = _initiate_server_ingestion_process(
             portal=portal,
-            ingestion_filename=ingestion_filename,
-            upload_filename=_submission_temp_json,
+            ingestion_filename=remote_ingestion_filename,
+            upload_filename=submission_upload_filename,
             is_server_validation=False,
             validate_remote_skip=validate_remote_skip,
             validation_ingestion_submission_object=server_validation_response,
@@ -1273,8 +1523,8 @@ def extract_identifying_value_from_path(path: str) -> str:
             debug_sleep=debug_sleep,
         )
     finally:
-        if _submission_temp_json and os.path.exists(_submission_temp_json):
-            os.unlink(_submission_temp_json)
+        if submission_upload_filename and os.path.exists(submission_upload_filename):
+            os.unlink(submission_upload_filename)
 
     SHOW(f"Submission tracking ID: {submission_uuid}")
 
@@ -2597,12 +2847,31 @@ def _validate_locally(
     debug: bool = False,
     debug_sleep: Optional[str] = None,
     skip_validators: Optional[List[str]] = None,
+    transform_protected_donor: bool = False,
+    transformed_workbook_path: Optional[str] = None,
 ) -> StructuredDataSet:
 
     if json_only:
         noprogress = True
 
     structured_data = None  # TEMPORARY WORKAROUND FOR DCICUTILS BUG
+    staged_transformed_workbook_path = None
+    if transform_protected_donor and transformed_workbook_path:
+        staged_transformed_workbook_path = _stage_protected_donor_workbook(
+            transformed_workbook_path
+        )
+
+    def finalize_transformed_workbook() -> None:
+        nonlocal staged_transformed_workbook_path
+        if staged_transformed_workbook_path:
+            staged_path = staged_transformed_workbook_path
+            staged_transformed_workbook_path = None
+            try:
+                _commit_staged_protected_donor_workbook(
+                    staged_path, transformed_workbook_path
+                )
+            finally:
+                _cleanup_staged_protected_donor_workbook(staged_path)
 
     def define_progress_callback(debug: bool = False) -> None:
         nsheets = 0
@@ -2715,10 +2984,29 @@ def progress_report(status: dict) -> None:  # noqa
         progress=None if noprogress else define_progress_callback(debug=debug),
         validator_hook=validator_hook,
         validator_sheet_hook=validator_sheet_hook,
-        excel_class=CustomExcel.with_portal(portal),
+        excel_class=CustomExcel.with_portal(
+            portal,
+            transform_protected_donor=transform_protected_donor,
+            transformed_workbook_path=staged_transformed_workbook_path,
+            allow_existing_staging_path=bool(staged_transformed_workbook_path),
+        ),
         debug_sleep=debug_sleep,
     )
-    structured_data.load_file(ingestion_filename)
+    try:
+        structured_data.load_file(ingestion_filename)
+    except Exception as error:
+        _cleanup_staged_protected_donor_workbook(staged_transformed_workbook_path)
+        raise ProtectedDonorTransformError(
+            f"Unable to load or transform ProtectedDonor workbook "
+            f"{ingestion_filename!r} during local validation: {error}"
+        ) from error
+    if (transform_protected_donor and staged_transformed_workbook_path
+            and not os.path.exists(staged_transformed_workbook_path)):
+        _cleanup_staged_protected_donor_workbook(staged_transformed_workbook_path)
+        raise ProtectedDonorTransformError(
+            f"ProtectedDonor transformation did not create staged workbook "
+            f"{staged_transformed_workbook_path!r}"
+        )
 
     if debug:
         PRINT("DEBUG: Finished client validation.")
@@ -2766,25 +3054,31 @@ def progress_report(status: dict) -> None:  # noqa
             f" {structured_data.ref_invalid_identifying_property_count}"
         )
     if json_only:
+        finalize_transformed_workbook()
         PRINT_OUTPUT(json.dumps(structured_data.data, indent=4))
         sys.exit(1)
     if verbose_json:
         PRINT_OUTPUT(f"Parsed JSON:")
         PRINT_OUTPUT(json.dumps(structured_data.data, indent=4))
-    validation_okay = _validate_data(
-        structured_data,
-        portal,
-        ingestion_filename,
-        upload_folder,
-        recursive=subfolders,
-        valid_submission_centers=valid_submission_centers,
-        ignore_orphans=ignore_orphans,
-        verbose=verbose,
-        debug=debug,
-    )
+    try:
+        validation_okay = _validate_data(
+            structured_data,
+            portal,
+            ingestion_filename,
+            upload_folder,
+            recursive=subfolders,
+            valid_submission_centers=valid_submission_centers,
+            ignore_orphans=ignore_orphans,
+            verbose=verbose,
+            debug=debug,
+        )
+    except BaseException:
+        _cleanup_staged_protected_donor_workbook(staged_transformed_workbook_path)
+        raise
     if validation_okay:
         PRINT(f"Validation results (preliminary): OK {chars.check}")
     elif exit_immediately_on_errors:
+        _cleanup_staged_protected_donor_workbook(staged_transformed_workbook_path)
         if verbose:
             _print_structured_data_verbose(
                 portal,
@@ -2841,7 +3135,14 @@ def progress_report(status: dict) -> None:  # noqa
             f"There are some preliminary errors outlined above;"
             f" do you want to continue with {'validation' if validation else 'submission'}?"
         ):
+            _cleanup_staged_protected_donor_workbook(staged_transformed_workbook_path)
             sys.exit(1)
+        # Do not publish a workbook that failed local validation, even when the
+        # user elects to continue with the remote operation.
+        _cleanup_staged_protected_donor_workbook(staged_transformed_workbook_path)
+    else:
+        finalize_transformed_workbook()
+
     if validate_local_only:
         PRINT("Terminating as requested (per --validate-local-only).")
         sys.exit(0 if validation_okay else 1)
diff --git a/submitr/tests/test_protected_donor_transform.py b/submitr/tests/test_protected_donor_transform.py
new file mode 100644
index 0000000000..afffd34edd
--- /dev/null
+++ b/submitr/tests/test_protected_donor_transform.py
@@ -0,0 +1,446 @@
+"""Submitr integration tests for dcicutils ProtectedDonor transformation."""
+
+from pathlib import Path
+from unittest.mock import Mock, patch
+import json
+import zipfile
+import xml.etree.ElementTree as ET
+
+import openpyxl
+import pytest
+
+from dcicutils.common import APP_FOURFRONT
+from dcicutils.submitr.custom_excel import CustomExcel
+from dcicutils.submitr import donor_transformer as _donor_transformer_module
+
+if not hasattr(_donor_transformer_module, "DonorReferenceKind"):
+    # The pinned dcicutils dependency (4dn-dcic/utils branch ajs/protected-donor-transform,
+    # tracked at https://github.com/4dn-dcic/utils/pull/337) has not yet landed the analyze()/
+    # DonorReferenceKind/portal-aware ProtectedDonor API these tests exercise. Skip rather than
+    # fail collection until that dependency catches up.
+    pytest.skip(
+        "dcicutils.submitr.donor_transformer.DonorReferenceKind is not available in the "
+        "pinned dcicutils dependency; see 4dn-dcic/utils PR #337.",
+        allow_module_level=True,
+    )
+
+from dcicutils.submitr.donor_transformer import (
+    DonorReferenceKind,
+    ProtectedDonorTransformError,
+    ProtectedDonorWorkbookTransformer,
+)
+
+from ..submission import (
+    _analyze_protected_donor_workbook,
+    _ensure_protected_donor_transformed_workbook,
+    _initiate_server_ingestion_process,
+    _validate_locally,
+    _prepare_protected_donor_transform,
+    _pre_transform_to_temp_json,
+    _stage_protected_donor_workbook,
+    submit_any_ingestion,
+)
+
+
+PROTECTED_SHEETS = [
+    "Demographic",
+    "DeathCircumstances",
+    "FamilyHistory",
+    "MedicalHistory",
+    "TissueCollection",
+]
+
+
+def make_workbook(path: Path, *, references=None, donor_rows=None, protected_rows=None,
+                  extra_reference_sheet=None):
+    workbook = openpyxl.Workbook()
+    workbook.remove(workbook.active)
+    donor = workbook.create_sheet("Donor")
+    donor.append(["submitted_id", "name", "status"])
+    for row in donor_rows or []:
+        donor.append(row)
+    if protected_rows is not None:
+        protected = workbook.create_sheet("ProtectedDonor")
+        protected.append(["submitted_id", "name", "status"])
+        for row in protected_rows:
+            protected.append(row)
+    for sheet_name in PROTECTED_SHEETS:
+        sheet = workbook.create_sheet(sheet_name)
+        sheet.append(["donor", "value"])
+        for reference in (references or {}).get(sheet_name, []):
+            sheet.append([reference, "x"])
+    if extra_reference_sheet:
+        sheet = workbook.create_sheet(extra_reference_sheet[0])
+        sheet.append(["donor"])
+        sheet.append([extra_reference_sheet[1]])
+    workbook.save(path)
+    return path
+
+
+def add_formula_cached_value(path: Path, *, value=None):
+    workbook = openpyxl.load_workbook(path)
+    workbook["Demographic"]["A2"] = '=\"D_DONOR_1\"'
+    workbook.save(path)
+    namespace = "http://schemas.openxmlformats.org/spreadsheetml/2006/main"
+    namespaces = {"x": namespace}
+    with zipfile.ZipFile(path) as source:
+        files = {name: source.read(name) for name in source.namelist()}
+    for name, contents in list(files.items()):
+        if not (name.startswith("xl/worksheets/sheet") and name.endswith(".xml")):
+            continue
+        sheet = ET.fromstring(contents)
+        for cell in sheet.findall(".//x:c", namespaces):
+            if cell.find("x:f", namespaces) is None:
+                continue
+            if value is not None:
+                cell.set("t", "str")
+                cached = cell.find("x:v", namespaces)
+                cached.text = value
+        files[name] = ET.tostring(sheet, encoding="utf-8", xml_declaration=True)
+    with zipfile.ZipFile(path, "w") as destination:
+        for name, contents in files.items():
+            destination.writestr(name, contents)
+
+
+def test_transform_only_referenced_donors_and_only_five_protected_sheets(tmp_path):
+    path = make_workbook(
+        tmp_path / "input.xlsx",
+        donor_rows=[["D_DONOR_1", "referenced", "active"],
+                    ["D_DONOR_2", "untouched", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+        extra_reference_sheet=("Other", "D_DONOR_2"),
+    )
+    workbook = openpyxl.load_workbook(path)
+    changed = ProtectedDonorWorkbookTransformer().transform(workbook)
+
+    assert changed is True
+    donor = workbook["Donor"]
+    headers = [cell.value for cell in donor[1]]
+    assert donor.cell(2, headers.index("protected_donor") + 1).value == "D_PROTECTED-DONOR_1"
+    assert all(cell.value != "D_PROTECTED-DONOR_2" for cell in donor[3])
+    assert workbook["Demographic"]["A2"].value == "D_PROTECTED-DONOR_1"
+    assert workbook["Other"]["A2"].value == "D_DONOR_2"
+    assert workbook["ProtectedDonor"].max_row == 2
+
+
+def test_mixed_references_are_analyzed_and_transformed_incrementally(tmp_path):
+    path = make_workbook(
+        tmp_path / "mixed.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"], ["D_DONOR_2", "two", "active"]],
+        protected_rows=[["D_PROTECTED-DONOR_2", "two", "in review"]],
+        references={"Demographic": ["D_DONOR_1", "D_PROTECTED-DONOR_2"]},
+    )
+    workbook = openpyxl.load_workbook(path)
+    analysis = ProtectedDonorWorkbookTransformer().analyze(workbook)
+    assert analysis.references["D_DONOR_1"] == DonorReferenceKind.PLAIN_DONOR
+    assert analysis.references["D_PROTECTED-DONOR_2"] == DonorReferenceKind.PROTECTED_DONOR
+    assert analysis.needs_transformation
+
+    ProtectedDonorWorkbookTransformer().transform(workbook)
+    assert workbook["Demographic"]["A2"].value == "D_PROTECTED-DONOR_1"
+    assert workbook["Demographic"]["A3"].value == "D_PROTECTED-DONOR_2"
+    assert workbook["ProtectedDonor"].max_row == 3
+
+    # A second pass is incremental: it does not duplicate existing rows.
+    assert ProtectedDonorWorkbookTransformer().transform(workbook) is False
+    assert workbook["ProtectedDonor"].max_row == 3
+
+
+def test_missing_workbook_donor_is_an_error(tmp_path):
+    path = tmp_path / "missing.xlsx"
+    workbook = openpyxl.Workbook()
+    workbook.active.title = "Demographic"
+    workbook.active.append(["donor"])
+    workbook.active.append(["D_DONOR_MISSING"])
+    workbook.save(path)
+
+    with pytest.raises(ProtectedDonorTransformError, match="absent from the workbook Donor sheet"):
+        transformer = ProtectedDonorWorkbookTransformer()
+        transformer.transform(openpyxl.load_workbook(path))
+
+
+def test_protected_donor_can_be_resolved_from_workbook_or_portal(tmp_path):
+    path = make_workbook(
+        tmp_path / "portal.xlsx",
+        references={"Demographic": ["D_PROTECTED-DONOR_PORTAL"]},
+        protected_rows=None,
+    )
+    portal = Mock()
+    portal.ref_exists.return_value = True
+    analysis = _analyze_protected_donor_workbook(path, portal)
+    assert analysis.references["D_PROTECTED-DONOR_PORTAL"] == DonorReferenceKind.PROTECTED_DONOR
+    assert not analysis.needs_transformation
+
+
+def test_submitr_analysis_distinguishes_partial_and_invalid_workbooks(tmp_path):
+    partial = make_workbook(
+        tmp_path / "partial.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        protected_rows=[["D_PROTECTED-DONOR_2", "two", "in review"]],
+        references={"Demographic": ["D_DONOR_1", "D_PROTECTED-DONOR_2"]},
+    )
+    invalid = make_workbook(
+        tmp_path / "invalid.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["not-an-id"]},
+    )
+    assert _prepare_protected_donor_transform(
+        portal=None, ingestion_filename=str(partial), submission_centers=None,
+        validation=False, no_query=False, transform_protected_donor=True,
+        transformed_workbook_path=None,
+    )[0] is True
+    invalid_analysis = _analyze_protected_donor_workbook(invalid, None)
+    assert invalid_analysis.invalid_references == frozenset({"not-an-id"})
+    with pytest.raises(ProtectedDonorTransformError, match="Invalid donor reference"):
+        _prepare_protected_donor_transform(
+            portal=None, ingestion_filename=str(invalid), submission_centers=None,
+            validation=False, no_query=False, transform_protected_donor=True,
+            transformed_workbook_path=None,
+        )
+
+
+def test_prepare_auto_transforms_without_prompt_without_printing_output_path(tmp_path):
+    path = make_workbook(
+        tmp_path / "input.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    with patch("submitr.submission.yes_or_no") as prompt, \
+            patch("submitr.submission.PRINT") as output:
+        apply, output_path = _prepare_protected_donor_transform(
+            portal=None, ingestion_filename=str(path), submission_centers=None,
+            validation=False, no_query=False, transform_protected_donor=True,
+            transformed_workbook_path=None,
+        )
+    assert apply is True
+    assert output_path.endswith("input.transformed.xlsx")
+    prompt.assert_not_called()
+    messages = [str(call.args[0]) for call in output.call_args_list]
+    assert not any("transformation is occurring" in message for message in messages)
+    assert not any("Transformed workbook path:" in message for message in messages)
+
+
+def test_custom_excel_saves_the_transformed_workbook(tmp_path):
+    source = make_workbook(
+        tmp_path / "source.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    destination = tmp_path / "source.transformed.xlsx"
+    CustomExcel.with_portal(
+        None, transform_protected_donor=True,
+        transformed_workbook_path=str(destination),
+    )(str(source))
+    transformed = openpyxl.load_workbook(destination)
+    assert transformed["Demographic"]["A2"].value == "D_PROTECTED-DONOR_1"
+
+
+def test_custom_excel_protects_caller_selected_existing_output(tmp_path):
+    source = make_workbook(
+        tmp_path / "source.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    destination = tmp_path / "source.transformed.xlsx"
+    previous = b"caller-owned output"
+    destination.write_bytes(previous)
+
+    with pytest.raises(ValueError, match="output path already exists"):
+        CustomExcel.with_portal(
+            None, transform_protected_donor=True,
+            transformed_workbook_path=str(destination),
+        )(str(source))
+
+    assert destination.read_bytes() == previous
+
+
+def test_local_validation_replaces_existing_owned_staging_file_after_success(tmp_path):
+    source = make_workbook(
+        tmp_path / "source.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    destination = tmp_path / "source.transformed.xlsx"
+    destination.write_bytes(b"pre-created staging file")
+
+    def stage_with_existing_path(path):
+        staged_path = _stage_protected_donor_workbook(path)
+        assert Path(staged_path).exists()
+        return staged_path
+
+    with patch("submitr.submission._validate_data", return_value=True), \
+            patch("submitr.submission._stage_protected_donor_workbook", side_effect=stage_with_existing_path), \
+            pytest.raises(SystemExit) as exit_info:
+        _validate_locally(
+            str(source), None, autoadd={}, validation=True,
+            validate_local_only=True, exit_immediately_on_errors=True,
+            noprogress=True, noanalyze=True, transform_protected_donor=True,
+            transformed_workbook_path=str(destination),
+        )
+
+    assert exit_info.value.code == 0
+    assert openpyxl.load_workbook(destination)["Demographic"]["A2"].value == (
+        "D_PROTECTED-DONOR_1"
+    )
+
+
+def test_protected_donor_remote_payload_contains_mapped_data(tmp_path):
+    source = make_workbook(
+        tmp_path / "source.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    workbook = openpyxl.load_workbook(source)
+    quality_metrics = workbook.create_sheet("ExternalQualityMetric")
+    quality_metrics.append(["submitted_id", "total_raw_reads_sequenced"])
+    quality_metrics.append(["EQM_1", 123])
+    workbook.save(source)
+
+    transformed_path = tmp_path / "source.transformed.xlsx"
+    structured_data = _ensure_protected_donor_transformed_workbook(
+        str(source), None, str(transformed_path)
+    )
+    upload_path = _pre_transform_to_temp_json(str(source), structured_data)
+    try:
+        portal = Mock()
+        portal.server = "https://example.test"
+        created = Mock()
+        created.json.return_value = {"@graph": [{"@id": "/ingestion-submissions/1"}]}
+        initiated = Mock()
+        initiated.json.return_value = {"submission_id": "submission-1"}
+        portal.post.side_effect = [created, initiated]
+        _initiate_server_ingestion_process(
+            portal=portal,
+            ingestion_filename=str(transformed_path),
+            upload_filename=upload_path,
+            consortia=[],
+            submission_centers=[],
+        )
+        uploaded = portal.post.call_args_list[1].kwargs["files"]["datafile"]
+        payload = json.loads(uploaded.read().decode("utf-8"))
+        uploaded.close()
+    finally:
+        if upload_path:
+            Path(upload_path).unlink(missing_ok=True)
+
+    assert payload["Demographic"][0]["donor"] == "D_PROTECTED-DONOR_1"
+    assert payload["ExternalQualityMetric"][0]["qc_values"] == [{
+        "derived_from": "total_raw_reads_sequenced",
+        "value": 123,
+        "key": "Total Raw Reads Sequenced",
+        "tooltip": "# of reads (150bp)",
+    }]
+    assert openpyxl.load_workbook(transformed_path)["Demographic"]["A2"].value == "D_PROTECTED-DONOR_1"
+
+
+def test_formula_cached_donor_reference_is_used_without_evaluation(tmp_path):
+    source = make_workbook(
+        tmp_path / "formula.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    add_formula_cached_value(source, value="D_DONOR_1")
+
+    analysis = _analyze_protected_donor_workbook(source, None)
+    assert analysis.needs_transformation
+    destination = tmp_path / "formula.transformed.xlsx"
+    structured_data = _ensure_protected_donor_transformed_workbook(
+        str(source), None, str(destination)
+    )
+    assert structured_data.data["Demographic"][0]["donor"] == "D_PROTECTED-DONOR_1"
+    assert (
+        openpyxl.load_workbook(destination, data_only=True)["Demographic"]["A2"].value
+        == "D_PROTECTED-DONOR_1"
+    )
+
+
+@pytest.mark.parametrize(
+    "cached_value, message",
+    [(None, "no valid cached value"), ("not-a-donor", "invalid cached value")],
+)
+def test_formula_donor_reference_requires_a_valid_cached_value(tmp_path, cached_value, message):
+    source = make_workbook(
+        tmp_path / "formula.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    add_formula_cached_value(source, value=cached_value)
+
+    with pytest.raises(ProtectedDonorTransformError, match=message):
+        _analyze_protected_donor_workbook(source, None)
+
+
+def test_existing_transformed_workbook_is_preserved_until_successful_replacement(tmp_path):
+    source = make_workbook(
+        tmp_path / "source.xlsx",
+        donor_rows=[["D_DONOR_1", "one", "active"]],
+        references={"Demographic": ["D_DONOR_1"]},
+    )
+    destination = tmp_path / "source.transformed.xlsx"
+    destination.write_bytes(b"previous transformed workbook")
+    previous = destination.read_bytes()
+
+    _prepare_protected_donor_transform(
+        portal=None, ingestion_filename=str(source), submission_centers=None,
+        validation=False, no_query=False, transform_protected_donor=True,
+        transformed_workbook_path=str(destination),
+    )
+    assert destination.read_bytes() == previous
+
+    _ensure_protected_donor_transformed_workbook(str(source), None, str(destination))
+    assert destination.read_bytes() != previous
+    assert openpyxl.load_workbook(destination)["Demographic"]["A2"].value == "D_PROTECTED-DONOR_1"
+
+
+def test_failed_protected_donor_load_preserves_existing_target_and_has_cause(tmp_path):
+    source = tmp_path / "malformed.xlsx"
+    source.write_bytes(b"not an xlsx workbook")
+    destination = tmp_path / "malformed.transformed.xlsx"
+    previous = b"previous transformed workbook"
+    destination.write_bytes(previous)
+
+    with pytest.raises(ProtectedDonorTransformError, match="Unable to load ProtectedDonor workbook") as error:
+        _prepare_protected_donor_transform(
+            portal=None, ingestion_filename=str(source), submission_centers=None,
+            validation=False, no_query=False, transform_protected_donor=True,
+            transformed_workbook_path=str(destination),
+        )
+
+    assert error.value.__cause__ is not None
+    assert destination.read_bytes() == previous
+
+
+@pytest.mark.parametrize(
+    "mode",
+    ["validate_local_only", "validate_remote_only", "validate_local_skip"],
+)
+def test_malformed_workbook_fails_before_each_validation_mode(tmp_path, mode):
+    source = tmp_path / "malformed.xlsx"
+    source.write_bytes(b"not an xlsx workbook")
+    portal = Mock()
+    portal.ping.return_value = True
+    portal.app = APP_FOURFRONT
+    portal.server = "https://example.test"
+
+    with patch("submitr.submission._define_portal", return_value=portal), \
+            patch("submitr.submission._get_user_record", return_value={}), \
+            patch("submitr.submission._resolve_app_args", return_value={
+                "submission_centers": [], "consortia": [],
+            }), \
+            patch("submitr.submission._do_app_arg_defaulting", return_value=True), \
+            patch("submitr.submission._get_submission_centers", return_value=[]), \
+            patch("submitr.submission._is_admin_user", return_value=False), \
+            patch("submitr.submission.get_metadata_bundles_bucket_from_health_path", return_value="bucket"):
+        with pytest.raises(ProtectedDonorTransformError, match="Unable to load ProtectedDonor workbook") as error:
+            submit_any_ingestion(
+                ingestion_filename=str(source),
+                ingestion_type="metadata_bundle",
+                server="https://example.test",
+                env="test",
+                app=APP_FOURFRONT,
+                noversion=True,
+                no_query=True,
+                **{mode: True},
+            )
+
+    assert error.value.__cause__ is not None
diff --git a/submitr/tests/test_submission.py b/submitr/tests/test_submission.py
index 0eef924b22..485304da08 100644
--- a/submitr/tests/test_submission.py
+++ b/submitr/tests/test_submission.py
@@ -858,6 +858,95 @@ def wrapped_submit_any_ingestion(*args, **kwargs):
                         pass  # in this case, it also means pass the test
 
 
+def _run_protected_donor_messaging_flow(*, submission, transform_protected_donor):
+    portal = mock.Mock()
+    portal.app = APP_FOURFRONT
+    portal.server = SOME_SERVER
+    portal.key_pair = SOME_AUTH
+    portal.keys_file = None
+    portal.ping.return_value = True
+
+    output = mock.Mock()
+    prompt = mock.Mock(return_value=False)
+    call_kwargs = dict(
+        ingestion_filename="/tmp/input.xlsx",
+        ingestion_type=SOME_INGESTION_TYPE,
+        server=SOME_SERVER,
+        env=SOME_ENV,
+        app=APP_FOURFRONT,
+        noversion=True,
+        transform_protected_donor=transform_protected_donor,
+    )
+    if submission:
+        call_kwargs.update(submit=True, validate_local_skip=True, validate_remote_skip=True)
+    else:
+        call_kwargs.update(validate_local_only=True)
+
+    with mock.patch.object(submission_module, "PRINT", output), \
+            mock.patch.object(submission_module, "_define_portal", return_value=portal), \
+            mock.patch.object(submission_module, "_get_user_record", return_value={}), \
+            mock.patch.object(
+                submission_module, "_resolve_app_args",
+                return_value={"submission_centers": [], "consortia": []},
+            ), \
+            mock.patch.object(submission_module, "_do_app_arg_defaulting", return_value=True), \
+            mock.patch.object(submission_module, "_get_submission_centers", return_value=[]), \
+            mock.patch.object(submission_module, "_is_admin_user", return_value=False), \
+            mock.patch.object(
+                submission_module, "get_metadata_bundles_bucket_from_health_path",
+                return_value="metadata-bundles",
+            ), \
+            mock.patch.object(
+                submission_module, "_prepare_protected_donor_transform",
+                return_value=(
+                    transform_protected_donor,
+                    "/tmp/input.transformed.xlsx" if transform_protected_donor else None,
+                ),
+            ), \
+            mock.patch.object(submission_module, "_validate_locally", return_value=mock.Mock()), \
+            mock.patch.object(submission_module, "_ensure_protected_donor_transformed_workbook"), \
+            mock.patch.object(submission_module, "SHOW"), \
+            mock.patch.object(submission_module, "yes_or_no", prompt):
+        if submission:
+            with pytest.raises(SystemExit):
+                submit_any_ingestion(**call_kwargs)
+        else:
+            submit_any_ingestion(**call_kwargs)
+
+    return [str(call.args[0]) for call in output.call_args_list], prompt
+
+
+def test_protected_donor_messages_follow_metadata_for_validation_and_submission():
+    for submission in (False, True):
+        messages, prompt = _run_protected_donor_messaging_flow(
+            submission=submission, transform_protected_donor=True
+        )
+        metadata = next(i for i, message in enumerate(messages) if message.startswith("Metadata file to "))
+        occurring = next(i for i, message in enumerate(messages) if "transformation is occurring" in message)
+        transformed = next(
+            i for i, message in enumerate(messages)
+            if message.startswith("ProtectedDonor transformed workbook:")
+        )
+        assert metadata < occurring < transformed
+        assert sum(message.startswith("ProtectedDonor transformed workbook:") for message in messages) == 1
+        assert not any(message.startswith("Transformed workbook path:") for message in messages)
+        if submission:
+            prompt.assert_called_once_with(
+                "ProtectedDonor transformation has occurred - Do you still wish to continue?"
+            )
+        else:
+            prompt.assert_not_called()
+
+
+def test_untransformed_submission_keeps_existing_confirmation_prompt_and_output():
+    messages, prompt = _run_protected_donor_messaging_flow(
+        submission=True, transform_protected_donor=False
+    )
+    assert any(message.startswith("Metadata file to ingest:") for message in messages)
+    assert not any("ProtectedDonor" in message for message in messages)
+    prompt.assert_called_once_with("Continue on with the actual submission?")
+
+
 def test_get_defaulted_lab():
 
     assert _get_defaulted_lab(lab=SOME_LAB, user_record="does-not-matter") == SOME_LAB
diff --git a/submitr/tests/test_submit_metadata_bundle.py b/submitr/tests/test_submit_metadata_bundle.py
index 97a9570bde..54eeff70ac 100644
--- a/submitr/tests/test_submit_metadata_bundle.py
+++ b/submitr/tests/test_submit_metadata_bundle.py
@@ -69,6 +69,8 @@ def test_it(args_in, expect_exit_code, expect_called, expect_call_args=None):
                             "debug": False,
                             "debug_sleep": False,
                             "skip_validators": None,
+                            "transform_protected_donor": expect_call_args.get("transform_protected_donor", True),
+                            "transformed_workbook_path": expect_call_args.get("transformed_workbook_path"),
                         }
                         mock_submit_any_ingestion.assert_called_with(**expect_call_args)
                     assert output == []
@@ -87,6 +89,35 @@ def test_it(args_in, expect_exit_code, expect_called, expect_call_args=None):
         'no_query': False,
         'subfolders': False,
     })
+    test_it(args_in=["--no-transform-protected-donor", some_file],
+            expect_exit_code=0,
+            expect_called=True,
+            expect_call_args={
+                'ingestion_filename': some_file,
+                'ingestion_type': DEFAULT_INGESTION_TYPE,
+                'env': None,
+                'server': None,
+                'validate_remote_only': False,
+                'upload_folder': None,
+                'no_query': False,
+                'subfolders': False,
+                'transform_protected_donor': False,
+            })
+    transformed_workbook = some_file + ".transformed.xlsx"
+    test_it(args_in=["--save-transformed-workbook", transformed_workbook, some_file],
+            expect_exit_code=0,
+            expect_called=True,
+            expect_call_args={
+                'ingestion_filename': some_file,
+                'ingestion_type': DEFAULT_INGESTION_TYPE,
+                'env': None,
+                'server': None,
+                'validate_remote_only': False,
+                'upload_folder': None,
+                'no_query': False,
+                'subfolders': False,
+                'transformed_workbook_path': transformed_workbook,
+            })
     expect_call_args = {
         'ingestion_filename': some_file,
         'ingestion_type': DEFAULT_INGESTION_TYPE,
@@ -199,6 +230,11 @@ def test_it(args_in, expect_exit_code, expect_called, expect_call_args=None):
             expect_call_args=expect_call_args)
 
 
+def test_compatibility_transform_flag_is_hidden_from_documented_help():
+    assert "--no-transform-protected-donor" not in submit_metadata_bundle_module._HELP
+    assert "--no-transform-protected-donor" not in submit_metadata_bundle_module._HELP_ADVANCED
+
+
 def _create_some_temporary_file() -> str:
     some_file = tempfile.NamedTemporaryFile(delete=False)
     try: