Evidence map›Paper›PMID 39160211›Full record

ArticleScientific reports2024

Identification of the novel exhausted T cell CD8 + markers in breast cancer.

Hengrui Liu, Angela Dong, Ayana Meegol Rasteh, Panpan Wang, Jieling Weng

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

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

108 citing papers in PubMed.

  1. Article
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  5. Diagnostics (Basel, Switzerland) · 2026
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  16. Review
  17. Article
  18. CBX6 induces CD8Cell biology and toxicology · 2025
    Article
  19. Article
  20. Article

48 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

5 authors.

Hengrui LiuCancer Research Institute, Jinan University, Guangzhou, China.
Angela DongHavergal College, Toronto, Canada.
Ayana Meegol RastehArchbishop Mitty High School, San Jose, CA, USA.
Panpan WangThe First Affiliated Hospital of Jinan University, Guangzhou, China. wangpp@jnu.edu.cn.
Jieling WengDepartment of Pathology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. jieling_weng@163.com.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515012641Guangdong Provincial Bureau of Traditional Chinese Medicine Research Project 20221107Natural Science Foundation of China 81603342the Guangdong Basic and Applied Basic Research Foundation 2022A151501264the Guangzhou Science and Technology Project SL2023A03J00309
6 · The paper itself

Abstract

Cancer is one of the most concerning public health issues and breast cancer is one of the most common cancers in the world. The immune cells within the tumor microenvironment regulate cancer development. In this study, single immune cell data sets were used to identify marker gene sets for exhausted CD8 + T cells (CD8Tex) in breast cancer. Machine learning methods were used to cluster subtypes and establish the prognostic models with breast cancer bulk data using the gene sets to evaluate the impacts of CD8Tex. We analyzed breast cancer overexpressing and survival-associated marker genes and identified CD8Tex hub genes in the protein-protein-interaction network. The relevance of the hub genes for CD8 + T-cells in breast cancer was evaluated. The clinical associations of the hub genes were analyzed using bulk sequencing data and spatial sequencing data. The pan-cancer expression, survival, and immune association of the hub genes were analyzed. We identified biomarker gene sets for CD8Tex in breast cancer. CD8Tex-based subtyping systems and prognostic models performed well in the separation of patients with different immune relevance and survival. CRTAM, CLEC2D, and KLRB1 were identified as CD8Tex hub genes and were demonstrated to have potential clinical relevance and immune therapy impact. This study provides a unique view of the critical CD8Tex hub genes for cancer immune therapy.

Indexed as

Biomarkers, TumorBreast NeoplasmsCD8-Positive T-LymphocytesFemaleGene Expression Regulation, NeoplasticHumansMachine LearningPrognosisProtein Interaction MapsTumor MicroenvironmentBiomarkers, TumorBreast cancerImmune cellMachine learningSingle-cell sequencingSpatial sequencing

Identifiers

PMID39160211
PMCPMC11333736

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.