Evidence map›Paper›PMID 40442220›Full record

ArticleScientific reports2025

Machine learning identifies SRD5A3 as a propionate-related prognostic biomarker in triple-negative breast cancer.

Kelun Pan, Pengjun Qiu, Huikai Liang, Ningning Wan, Zundong Liu, Qiaonan Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Kelun Pan *Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Pengjun Qiu *Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Huikai LiangDepartment of Breast and Thyroid Surgery, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Ningning WanDepartment of Breast and Thyroid Surgery, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Zundong LiuStem Cell Laboratory, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China. harryblood1989@126.com.
Qiaonan GuoDepartment of Breast and Thyroid Surgery, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China. gqn15980220004@126.com.

Funding

Fujian Provincial Health Technology Project 2022GGA037Natural Science Foundation of Fujian Province 2023J01729Natural Science Foundation of Fujian Province 2023J01746
6 · The paper itself

Abstract

The increased risk of recurrence and metastasis are obstacles to treating TNBC. Propionate-related genes play an important role in tumor development and immune cell infiltration. The study was to identify the association between propionate-related genes and the prognosis of TNBC patients. Propionate-related genes were collected and analyzed to establish propionate-related gene characteristics. Then, the survival analysis was performed, and the responses to immunotherapies were evaluated. Furthermore, the drug sensitivity of some traditional chemotherapeutic drugs was evaluated. Finally, the hub genes were discovered and validated by in vitro experiments. Based on the five-propionate-related gene signature, TNBC patients were divided into high and low-risk groups. In addition, DEGs between the different risk groups were enriched in the biological activities associated with immunity. TNBC patients in the high-risk groups were suggested to have worse responses to immunotherapies and a poorer prognosis. SRD5A3 was finally found to be a hub gene, and in vitro experiments revealed that silencing SRD5A3 inhibited tumor cell proliferation, invasion, and migration. The five-propionate-related risk model presented novel insights into the efficacy of immunotherapy. It was found that down-regulation of SRD5A3 inhibited the growth and invasion of tumor cells, thereby affecting the prognosis of TNBC.

Indexed as

Biomarkers, TumorMachine LearningMembrane ProteinsPropionatesTriple Negative Breast NeoplasmsCell Line, TumorCell MovementCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorMembrane ProteinsPropionatesPrognosisPropionate-related genesRisk modelTriple-negative breast cancer (TNBC)Tumor immune microenvironment (TIME)

Identifiers

PMID40442220
PMCPMC12122983

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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.