Evidence map›Paper›PMID 41058686›Full record

ArticleFrontiers in immunology2025

Identification of tumor associated neutrophils-related genes in triple-negative breast cancer for predicting prognosis and therapeutic response through integrated single-cell analysis.

Koukou Li, Lingli Gong, Yuxuan Zhang, Lihua Yang, Daxing Xu, Mei Wang, Yaling Hu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Koukou Li *Department of Laboratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
Lingli Gong *Department of Laboratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
Yuxuan Zhang *Department of Laboratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
Lihua YangDepartment of Pathology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
Daxing XuDepartment of Laboratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
Mei WangDepartment of Laboratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.
Yaling HuDepartment of Laboratory Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-associated neutrophils (TANs) significantly influence tumor development, immune system suppression, and the spread of cancer in triple-negative breast cancer (TNBC). However, their molecular pathways and potential for therapy are not completely understood. We utilized Seurat and Harmony to perform quality control, batch correction, and cell annotation on single-cell RNA-seq data from TNBC patients (GSE222854). Comprehensive bioinformatics approaches-including immune infiltration analysis, GSEA, GSVA, drug sensitivity profiling, and ligand-receptor interaction network analysis were combined with functional validation (colony formation and Transwell assays) and clinical correlation studies via polychromatic immunofluorescence. Four TAN-associated genes (RASGRP4, TIMM10B, TNFRSF13C, and GRAP) with distinct roles in TNBC progression were identified. Functional assays revealed pro-tumorigenic effects of RASGRP4, TIMM10B, and GRAP, whereas TNFRSF13C exhibited tumor-suppressive properties. Clinically, elevated RASGRP4 and TIMM10B expression with reduced TNFRSF13C expression correlated with poor survival and accelerated disease progression, underscoring their prognostic significance. Our study revealed RASGRP4, TIMM10B, and TNFRSF13C as promising therapeutic targets in TNBC. Targeting these TAN-associated genes may disrupt pro-tumor immune responses, suggesting novel strategies to improve patient outcomes.

Indexed as

Biomarkers, TumorNeutrophilsTriple Negative Breast NeoplasmsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, Tumorimmuno-regulationmetastasissingle-cell transcriptional analysistriple-negative breast cancertumor associated neutrophils

Identifiers

PMID41058686
PMCPMC12497826

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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.