Evidence map›Paper›PMID 33569433›Full record

ArticleAnnals of translational medicine2021

The association of CMTM6 expression with prognosis and PD-L1 expression in triple-negative breast cancer.

Yiping Tian, Xiaohui Sun, Guoping Cheng, Enming Ji, Shifeng Yang, Jianguo Feng, Linfeng Zheng

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  3. [Effect of CMTM6 on PD-L1 inBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
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  12. The clinical and prognostic significance of CMTM6/PD-L1 in oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Review
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  16. CMTM6, a potential immunotherapy target.Journal of cancer research and clinical oncology · 2022
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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

7 authors at 4 institutions in 1 country.

Yiping TianDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.
Xiaohui SunDepartment of Epidemiology and Biostatistics, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Guoping ChengDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.
Enming JiDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.
Shifeng YangDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.
Jianguo FengInstitute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, China.
Linfeng ZhengDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China.
Chinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNZhejiang Cancer Hospital · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors play a vital role in triple-negative breast cancer (TNBC) immunotherapy. A recent study showed that chemokine-like factor (CKLF)-like MARVEL transmembrane domain containing 6 (CMTM6) has a crucial role in programmed death-ligand 1 (PD-L1) stability. The aim of this study was to investigate the relationship between CMTM6 and PD-L1 in TNBC and the association with clinical characteristics.

methodsA total of 143 patients, including 75 with human epidermal growth factor receptor 2 (HER2)-driven breast cancer and 68 with TNBC, were included in this study. In 83 paired primary breast cancers (PBCs) and metastatic breast cancers (MBC) comprising 45 HER2-driven breast cancers and 38 TNBC, CMTM6 and PD-L1 were detected based on immunohistochemistry (IHC) with FFPE tissues. Another 60 PBCs comprising 30 HER2-driven breast cancers and 30 TNBC in order to detect CMTM6 and PD-L1 mRNA expressions based on real-time polymerase chain reaction (RT-PCR) using frozen tissues. Furthermore, 153 patients comprising 30 TNBC and 123 HER2-driven breast cancer based on The Cancer Genome Atlas (TCGA) database were used to confirm the difference mRNA expression.

resultsThe expression of CMTM6 in patients with TNBC was significantly higher than in those with HER2-driven PBC (IHC, P=0.036, mRNA, P=0.036, TCGA dataset, P=0.039). CMTM6 was correlated with PD-L1 based on IHC in triple-negative MBC (P=0.004); the same result was found based on mRNA data in triple- negative PBC (P=0.021). Moreover, a high expression of CMTM6 in TNBC was associated with poor progression-free survival (PFS) (P=0.030, 95% CI: 1.08-4.57, HR =2.22). After multiple Cox regression analysis, CMTM6 in TNBC emerged as an independent risk factor for PFS (P=0.027, 95% CI: 1.11-5.20, HR =2.40). The expression of PD-L1 was negatively correlated with lymph node metastasis (P=0.026) and was not associated with PFS.

conclusionsThe expression of CMTM6 was higher in TNBC than in HER2-driven breast cancer. In TNBC, CMTM6 was correlated with PD-L1 expression, and potentially could be used as an independent risk factor for predicting PFS.

Indexed as

CMTM6immunohistochemistry (IHC)PD-L1polymerase chain reaction (PCR)prognosistriple-negative breast cancer (TNBC)

Identifiers

PMID33569433
PMCPMC7867887
OpenAlexW3125197824

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.