Evidence map›Paper›PMID 32576238›Full record

ArticleBreast cancer research : BCR2020

Comparison of three scoring methods using the FDA-approved 22C3 immunohistochemistry assay to evaluate PD-L1 expression in breast cancer and their association with clinicopathologic factors.

Hua Guo, Qingqing Ding, Yun Gong, Michael Z Gilcrease, Min Zhao, Jun Zhao, Dawen Sui, Yun Wu, Hui Chen, Hui Liu and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 70 citations in OpenAlex.

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  5. Hormone Receptor Positive/HER2 Negative Breast Carcinoma: Association ofInternational journal of molecular sciences · 2025
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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

15 authors at 1 institution in 1 country.

Hua GuoDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Qingqing DingDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Yun GongDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Michael Z GilcreaseDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Min ZhaoDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Jun ZhaoDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Dawen SuiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yun WuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Hui ChenDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Hui LiuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Jinxia ZhangDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Erika ResetkovaDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Stacy L MoulderDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Wei-Lien WangDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Lei HuoDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Unit 85, 1515 Holcombe Blvd, Houston, TX, 77030, USA. leihuo@mdanderson.org.ORCID 0000-0001-7533-9082
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundIn the evaluation of PD-L1 expression to select patients for anti-PD-1/PD-L1 treatment, uniform guidelines that account for different immunohistochemistry assays, different cell types and different cutoff values across tumor types are lacking. Data on how different scoring methods compare in breast cancer are scant.

methodsUsing FDA-approved 22C3 diagnostic immunohistochemistry assay, we retrospectively evaluated PD-L1 expression in 496 primary invasive breast tumors that were not exposed to anti-PD-1/PD-L1 treatment and compared three scoring methods (TC: invasive tumor cells; IC: tumor-infiltrating immune cells; TCIC: a combination of tumor cells and immune cells) in expression frequency and association with clinicopathologic factors.

resultsIn the entire cohort, positive PD-L1 expression was observed in 20% of patients by TCIC, 16% by IC, and 10% by TC, with a concordance of 87% between the three methods. In the triple-negative breast cancer patients, positive PD-L1 expression was observed in 35% by TCIC, 31% by IC, and 16% by TC, with a concordance of 76%. Associations between PD-L1 and clinicopathologic factors were investigated according to receptor groups and whether the patients had received neoadjuvant chemotherapy. The three scoring methods showed differences in their associations with clinicopathologic factors in all subgroups studied. Positive PD-L1 expression by IC was significantly associated with worse overall survival in patients with neoadjuvant chemotherapy and showed a trend for worse overall survival and distant metastasis-free survival in triple-negative patients with neoadjuvant chemotherapy. Positive PD-L1 expression by TCIC and TC also showed trends for worse survival in different subgroups.

conclusionsOur findings indicate that the three scoring methods with a 1% cutoff are different in their sensitivity for PD-L1 expression and their associations with clinicopathologic factors. Scoring by TCIC is the most sensitive way to identify PD-L1-positive breast cancer by immunohistochemistry. As a prognostic marker, our study suggests that PD-L1 is associated with worse clinical outcome, most often shown by the IC score; however, the other scores may also have clinical implications in some subgroups. Large clinical trials are needed to test the similarities and differences of these scoring methods for their predictive values in anti-PD-1/PD-L1 therapy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularCombined Modality TherapyDrug ApprovalFemaleFollow-Up StudiesHumansImmunohistochemistryLymphocytes, Tumor-InfiltratingMiddle AgedPrognosisRetrospective StudiesSurvival RateB7-H1 AntigenCD274 protein, human22C3Breast cancerImmunohistochemistryPD-L1Race/ethnicityScoring methodsTumor-infiltrating lymphocytes

Identifiers

PMID32576238
PMCPMC7310491
OpenAlexW3036479961

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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.