The DOI matches its Crossref record.
Template for Reporting Results of Biomarker Testing of Specimens From Patients With Carcinoma of the Breast
Abstract
he College of American Pathologists offers thesetemplates to assist pathologists in providing clinicallyuseful and relevant information when reporting results ofbiomarker testing. The College regards the reportingelements in the templates as important elements of thebiomarker test report, but the manner in which theseelements are reported is at the discretion of each specificpathologist, taking into account clinician preferences,institutional policies, and individual practice.The College developed these templates as educationaltools to assist pathologists in the useful reporting of relevantinformation. It did not issue them for use in litigation,reimbursement, or other contexts. Nevertheless, the Collegerecognizes that the templates might be used by hospitals,attorneys, payers, and others. The College cautions that useof the templates other than for their intended educationalpurpose may involve additional considerations that arebeyond the scope of this document.TEMPLATE FOR REPORTING RESULTS OF BIOMARKERTESTING OF SPECIMENS FROM PATIENTSWITH CARCINOMA OF THE BREASTCompletion of the template is the responsibility of thelaboratory performing the biomarker testingand/or providingthe interpretation. When both testing and interpretation areperformed elsewhere (eg, a reference laboratory), synopticreporting of the results by the laboratory submitting thetissue for testing is also encouraged to ensure that allinformation is included in the patient’s medical record andthus readily available to the treating clinical team.BIOMARKER REPORTING TEMPLATEBreastNote: Required elements in this template comply with the mostrecent versions of the American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guidelines onHER2 and hormone receptor testing. Reporting elements arerequired only if applicable and only for tests performed. If somestudies were performed on different specimen(s), the specimennumber(s) should be provided.þ Data elements preceded by this symbol are not required.RESULTSEstrogen Receptor (ER)___ Positive (percentage of cells with nuclear positivity:___ %)þ Average intensity of staining:þ ___ Weakþ ___ Moderateþ ___ Strong___ Negative___ Internal controls present and ER positive (asexpected)___ Internal controls present but ER negative___ Internal controls absent___ Cannot be determined (explain): _________________Progesterone Receptor (PgR)___ Positive (percentage of cells with nuclear positivity:____ %)þ Average intensity of staining:þ ___ Weakþ ___ Moderateþ ___ Strong___ Negative___ Internal controls present and PgR positive (asexpected)___ Internal controls present but PgR negative
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Hidalgo, M., Amant, F., Biankin, A. V., Budinská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0001 · Cited by 1,742
Artificial intelligence in digital breast pathology: Techniques and applications
Ibrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C., & Rakha, E. A. (2020) · The Breast · doi:10.1016/j.breast.2019.12.007 · Cited by 202
“Current clinical practice relies on immunohistochemical (IHC) staining and manual comparison of staining intensity against a set of biomarker-speci fi c scoring systems [43,44].”
Method
Metadata
- Authors
- Fitzgibbons, P. L., Dillon, D. A., Alsabeh, R., Berman, M. A., Hayes, D. F., Hicks, D. G., Hughes, K. S., & Nofech-Mozes, S.
- Venue
- Archives of Pathology and Laboratory Medicine
- Published
- 2014-05
- Volume
- 138
- Issue
- 5
- Pages
- 595-601
- ISSN
- 0003-9985 (ISSN-L)
- 1543-2165
- OpenAlex
- W2100762242
- Cited by
- 188
- References
- 0
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Template for Reporting Results of Biomarker Testing of Specimens From Patients With Carcinoma of the Breast. https://app.cochat.ai/papers/10.5858/arpa.2013-0566-cp
- The paper
- Fitzgibbons, P. L., Dillon, D. A., Alsabeh, R., Berman, M. A., Hayes, D. F., Hicks, D. G., Hughes, K. S., & Nofech-Mozes, S. (2014). Template for Reporting Results of Biomarker Testing of Specimens From Patients With Carcinoma of the Breast. Archives of Pathology and Laboratory Medicine. https://doi.org/10.5858/arpa.2013-0566-cp
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.