Evidence mapPaperPMID 40608205Full record

ArticleDiscover oncology2025

Single‑cell RNA sequencing reveals TMEM71 as an immunomodulatory biomarker predicting immune checkpoint blockade response in breast cancer.

Boyang Li, Ruonan Lin, Yibo Hua, Binlin Ma, Yi Chen

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
field-weighted citation impact
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

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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

27 citing papers in PubMed.

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  14. MX1Journal of translational medicine · 2026
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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

5 authors.

Boyang LiThe First Clinical School of Medicine, Zhengzhou University, Zhengzhou, 450001, China.
Ruonan LinThe First Clinical School of Medicine, Zhengzhou University, Zhengzhou, 450001, China.
Yibo HuaThe First Clinical School of Medicine, Zhengzhou University, Zhengzhou, 450001, China.
Binlin MaCancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang Uygur Autonomous Region, China. doctormbl@163.com.
Yi ChenCancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang Uygur Autonomous Region, China. chenyicsu@outlook.com.ORCID http://orcid.org/0009-0002-7413-2463

Funding

National Natural Science Foundation of China 82260549
6 · The paper itself

Abstract

backgroundTMEM71 is a poorly characterized transmembrane protein with unclear roles in cancer. This study aimed to explore its prognostic value, immune relevance, and therapeutic implications in breast cancer.

methodsWe integrated transcriptomic, single-cell RNA-seq, immune infiltration and drug response data from TCGA, GTEx, GEO and public scRNA-seq datasets. Prognostic analysis, immune correlation (ssGSEA, CIBERSORT), functional enrichment (GO, KEGG, GSEA) and chemotherapy/immunotherapy sensitivity assessments were conducted.

resultsTMEM71 was significantly downregulated in breast cancer and correlated with poor clinical outcomes. Single-cell analysis revealed its predominant expression in malignant and stromal cells. TMEM71 expression was associated with enhanced infiltration of immune cells, upregulation of immune checkpoints and enrichment of immune-related pathways. High TMEM71 expression predicted better response to immune checkpoint inhibitors (anti-PD-1/PD-L1, anti-CTLA-4) and greater sensitivity to chemotherapeutics, including Gemcitabine, 5-fluorouracil and paclitaxel.

conclusionTMEM71 is a novel immune-related gene with potential as a prognostic biomarker and predictor of therapy response in breast cancer. These findings offer new insights into the immunological role of TMEM71 and support its potential utility in guiding personalized treatment strategies.

Indexed as

Breast cancerImmune microenvironmentSingle-cell RNA sequencingTherapeutic responseTMEM71

Identifiers

PMID40608205
PMCPMC12229426

What Socratic holds

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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 Socratic graph.