Evidence map›Paper›PMID 32406563›Full record

ArticleThe oncologist2020

Molecular Subtyping of Triple-Negative Breast Cancers by Immunohistochemistry: Molecular Basis and Clinical Relevance.

Shen Zhao, Ding Ma, Yi Xiao, Xiao-Mei Li, Jian-Li Ma, Han Zhang, Xiao-Li Xu, Hong Lv, Wen-Hua Jiang, Wen-Tao Yang and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed
11.0field-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

127 citing papers in PubMed, 203 citations in OpenAlex.

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67 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 1 country.

Shen ZhaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Ding MaDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Yi XiaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Xiao-Mei LiDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China.
Jian-Li MaDepartment of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China.
Han ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China.
Xiao-Li XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Hong LvDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Wen-Hua JiangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Wen-Tao YangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Yi-Zhou JiangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.
Qing-Yuan ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China.
Zhi-Ming ShaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-4503-148X
Fudan University Shanghai Cancer Center · CNThird Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular subtyping of triple-negative breast cancers (TNBCs) via gene expression profiling is essential for understanding the molecular essence of this heterogeneous disease and for guiding individualized treatment. We aim to devise a clinically practical method based on immunohistochemistry (IHC) for the molecular subtyping of TNBCs. MATERIALS AND

methodsBy analyzing the RNA sequencing data on TNBCs from Fudan University Shanghai Cancer Center (FUSCC) (n = 360) and The Cancer Genome Atlas data set (n = 158), we determined markers that can identify specific molecular subtypes. We performed immunohistochemical staining on tumor sections of 210 TNBCs from FUSCC, established an IHC-based classifier, and applied it to another two cohorts (n = 183 and 214).

resultsWe selected androgen receptor (AR), CD8, FOXC1, and DCLK1 as immunohistochemical markers and classified TNBCs into five subtypes based on the staining results: (a) IHC-based luminal androgen receptor (IHC-LAR; AR-positive [+]), (b) IHC-based immunomodulatory (IHC-IM; AR-negative [-], CD8+), (c) IHC-based basal-like immune-suppressed (IHC-BLIS; AR-, CD8-, FOXC1+), (d) IHC-based mesenchymal (IHC-MES; AR-, CD8-, FOXC1-, DCLK1+), and (e) IHC-based unclassifiable (AR-, CD8-, FOXC1-, DCLK1-). The κ statistic indicated substantial agreement between the IHC-based classification and mRNA-based classification. Multivariate survival analysis suggested that our IHC-based classification was an independent prognostic factor for relapse-free survival. Transcriptomic data and pathological observations implied potential treatment strategies for different subtypes. The IHC-LAR subtype showed relative activation of HER2 pathway. The IHC-IM subtype tended to exhibit an immune-inflamed phenotype characterized by the infiltration of CD8+ T cells into tumor parenchyma. The IHC-BLIS subtype showed high expression of a VEGF signature. The IHC-MES subtype displayed activation of JAK/STAT3 signaling pathway.

conclusionWe developed an IHC-based approach to classify TNBCs into molecular subtypes. This IHC-based classification can provide additional information for prognostic evaluation. It allows for subgrouping of TNBC patients in clinical trials and evaluating the efficacy of targeted therapies within certain subtypes. IMPLICATIONS FOR PRACTICE: An immunohistochemistry (IHC)-based classification approach was developed for triple-negative breast cancer (TNBC), which exhibited substantial agreement with the mRNA expression-based classification. This IHC-based classification (a) allows for subgrouping of TNBC patients in large clinical trials and evaluating the efficacy of targeted therapies within certain subtypes, (b) will contribute to the practical application of subtype-specific treatment for patients with TNBC, and (c) can provide additional information beyond traditional prognostic factors in relapse prediction.

Indexed as

Triple Negative Breast NeoplasmsBiomarkers, TumorChinaDoublecortin-Like KinasesHumansImmunohistochemistryIntracellular Signaling Peptides and ProteinsNeoplasm Recurrence, LocalPrognosisProtein Serine-Threonine KinasesBiomarkers, TumorDCLK1 protein, humanDoublecortin-Like KinasesIntracellular Signaling Peptides and ProteinsProtein Serine-Threonine KinasesImmunohistochemistryMolecular classificationPrecision medicineTriple-negative breast cancer

Identifiers

PMID32406563
PMCPMC7543239
OpenAlexW3024764930

What OpenQuestion holds

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Registered trials

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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.