Evidence map›Paper›PMID 42901998›Full record

ArticleFunctional & integrative genomics2026

A multi-omics study integrating single-cell transcriptomics, spatial transcriptomics, and mendelian randomization unveil the implication of TRDMT1 expression in T cells on the immunotherapeutic response and prognosis in breast cancer.

Tingjun Li, Cheng Huang, Haolan Deng, Yifan You, Yu Jiang, Zhitang Wang, Qinglan Wang, Kunqi Chen, Debo Chen

Abstract read
In one paragraph

Article in Functional & integrative genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Tingjun Li *Department of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, 362000, China.
Cheng Huang *Department of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, 362000, China.
Haolan Deng *State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, China.
Yifan YouDepartment of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, 362000, China.
Yu JiangDepartment of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, 362000, China.
Zhitang WangDepartment of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, 362000, China.
Qinglan WangDepartment of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, 362000, China.
Kunqi ChenKey Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
Debo ChenDepartment of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, 362000, China. debochensr@fjmu.edu.cn.

Funding

Fujian Provincial Natural Science Foundation of China 2023J011775Medical Innovation Project Foundation of Fujian Province 2021CX01010138 and 2021CXA045Quanzhou Science and Technology Plan Project 2023C007YRStartup Fund for Scientific Research, Fujian Medical University 2022QH1259
6 · The paper itself

Abstract

m5C, an important RNA modification, is closely associated with breast cancer; however, their causal relationship is unknown. We examined the relationship between m5C regulation and breast cancer. Genome-wide association study breast cancer data and expression quantitative trait loci of m5C regulatory factor genes in blood were collected. We explored the causal relationship among m5C regulatory genes, breast cancer susceptibility, and prognosis through Mendelian randomization. Single-cell RNA sequencing data from peripheral blood mononuclear cells of patients with breast cancer and healthy controls were used to determine the differential expression of key genes among different cellular subpopulations. The effects of these genes on specific cellular subpopulations were further explored in single-cell RNAseq data from primary breast cancer using cellular communication, metabolic and cellular function analyses and validated the findings using flow cytometry. We validated the prognostic value of specific cellular subpopulations expressing key genes and assessed the impact of antitumor immunity using spatial transcriptomics, bulk transcriptomics, and immunofluorescence analysis of tissue microarray (120 patients). Mendelian randomization analysis indicated that the expression of the m5C writer tRNA aspartate methyltransferase 1 (TRDMT1) in blood was associated with breast cancer prognosis. TRDMT1 expression in T cells was decreased in patients with breast cancer. TRDMT1 was closely related to T-cell function. Moreover, it may modulate the antitumor immune effects of CD8

Indexed as

Breast NeoplasmsT-LymphocytesTranscriptomeFemaleGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansImmunotherapyMendelian Randomization AnalysisMultiomicsPrognosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsBreast cancerm5CMendelian randomizationSingle-cell transcriptomesSpatial transcriptomesTRDMT1

Identifiers

PMID42901998
PMCPMC13683483

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.