Evidence map›Paper›PMID 36788069›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2023

Multi-institutional Assessment of Pathologist Scoring HER2 Immunohistochemistry.

Charles J Robbins, Aileen I Fernandez, Gang Han, Serena Wong, Malini Harigopal, Mirna Podoll, Kamaljeet Singh, Amy Ly, M Gabriela Kuba, Hannah Wen and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
20.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. A modular framework for antibody-drug conjugate biomarkers.Nature reviews. Clinical oncology · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. The promise of artificial intelligence in diagnostic breast pathology.Virchows Archiv : an international journal of pathology · 2026
    Article
  11. Repurposing HER2 IHC: Pan-HER2 and Low-HER2.Applied immunohistochemistry & molecular morphology : AIMM · 2026
    Review
  12. Quantitative Assays for TROP2 Measurement in Breast Cancer and Comparison to H-Score.Applied immunohistochemistry & molecular morphology : AIMM · 2026
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 17 institutions in 1 country.

Charles J RobbinsDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.
Aileen I FernandezDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.
Gang HanDepartment of Epidemiology & Biostatistics, Texas A and M University, College Station, Texas.
Serena WongDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.
Malini HarigopalDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.
Mirna PodollDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee.
Kamaljeet SinghDepartment of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island.
Amy LyDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
M Gabriela KubaDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Hannah WenDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Mary Ann SandersDepartment of Pathology, Norton Healthcare, Louisville, Kentucky.
Jane BrockDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Shi WeiDepartment of Pathology, University of Kansas Medical Center, Kansas City, Kansas.
Oluwole FadareDepartment of Pathology, University of California San Diego, San Diego, California.
Krisztina HanleyDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia.
Julie JornsDepartment of Pathology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Olivia L SnirDepartment of Pathology, Providence Health & Services, Portland, Oregon.
Esther YoonDepartment of Pathology, MD Anderson, Cancer Center, Houston, Texas.
Kim RabeDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
T Rinda SoongDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Emily S ReisenbichlerDepartment of Pathology, SSM Health Saint Louis University Hospital, St. Louis, Missouri.
David L RimmDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut; Department of Medicine (Oncology), Yale School of Medicine, New Haven, Connecticut. Electronic address: david.rimm@yale.edu.
Yale University · USMemorial Sloan Kettering Cancer Center · USBrigham and Women's Hospital · USBrown University · USEmory University · USMassachusetts General Hospital · USMedical College of Wisconsin · USNorton Healthcare · USProvidence Health & Services · USSaint Louis University Hospital · USTexas A&M University · USThe University of Texas MD Anderson Cancer Center · USUniversity of California San Diego · USUniversity of Kansas Medical Center · USUniversity of Minnesota · USUniversity of Pittsburgh · USVanderbilt University Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI DAVID L RIMM · 1985 to 2026
$85.0M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016359
6 · The paper itself

Abstract

The HercepTest was approved 20+ years ago as the companion diagnostic test for trastuzumab in human epidermal growth factor 2 (HER2) or ERBB2 gene-amplified/overexpressing breast cancers. Subsequent HER2 immunohistochemistry (IHC) assays followed, including the now most common Ventana 4B5 assay. Although this IHC assay has become the clinical standard, its reliability, reproducibility, and accuracy have largely been approved and accepted on the basis of concordance among small numbers of pathologists without validation in a real-world setting. In this study, we evaluated the concordance and interrater reliability of scoring HER2 IHC in 170 breast cancer biopsies by 18 breast cancer-specialized pathologists from 15 institutions. We used the Observers Needed to Evaluate Subjective Tests method to determine the plateau of concordance and the minimum number of pathologists needed to estimate interrater agreement values for large numbers of raters, as seen in the real-world setting. We report substantial discordance within the intermediate categories (<1% agreement for 1+ and 3.6% agreement for 2+) in the 4-category HER2 IHC scoring system. The discordance within the IHC 0 cases is also substantial with an overall percent agreement (OPA) of only 25% and poor interrater reliability metrics (0.49 Fleiss' kappa, 0.55 intraclass correlation coefficient). This discordance can be partially reduced by using a 3-category system (28.8% vs 46.5% OPA for 4-category and 3-category scoring systems, respectively). Observers Needed to Evaluate Subjective Tests plots suggest that the OPA for the task of determining a HER2 IHC score 0 from not 0 plateaus statistically around 59.4% at 10 raters. Conversely, at the task of scoring HER2 IHC as 3+ or not 3+ pathologists' concordance was much higher with an OPA that plateaus at 87.1% with 6 raters. This suggests that legacy HER2 IHC remains valuable for finding the patients in whom the ERBB2 gene is amplified but unacceptably discordant in assigning HER2-low or HER2-negative status for the emerging HER2-low therapies.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesBiomarkers, TumorFemaleGenes, erbB-2HumansImmunohistochemistryIn Situ Hybridization, FluorescencePathologistsReproducibility of ResultsBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesHER2immunohistochemistrypathologypredictive markersprognostic markers

Identifiers

PMID36788069
PMCPMC10278086
OpenAlexW4319991680

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.