Evidence map›Paper›PMID 42653240›Full record

ArticleInternational journal of molecular sciences2026

Single-Cell Analysis Reveals STARD10 as a Fatty Acid Metabolism Regulator of Breast Cancer Progression via the PI3K/Akt Pathway.

Yining Han, Jiacheng Fan, Yue Xi, Pengxiang Zhu, Qiyue Sun, Xiaofeng Li

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Yining HanDepartment of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, China.
Jiacheng FanDepartment of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, China.
Yue XiDepartment of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, China.
Pengxiang ZhuDepartment of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, China.
Qiyue SunDepartment of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, China.
Xiaofeng LiDepartment of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, China.ORCID 0000-0002-1786-9154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a highly heterogeneous malignancy in which fatty acid metabolism plays a critical yet insufficiently characterized role in tumor progression, immune evasion, and treatment resistance. To address this gap, we performed a comprehensive re-analysis of single-cell transcriptomic data from 62 breast cancer patients using the Non-negative Matrix Factorization (NMF) algorithm to delineate tumor cell subpopulations at single-cell resolution. Through Gene Set Enrichment Analysis (GSEA), we identified the tumor cell subgroup most significantly associated with fatty acid metabolism. Subsequent Slingshot trajectory analysis revealed STARD10 as a key regulatory gene in fatty acid metabolic reprogramming along tumor cell differentiation trajectories. In vitro functional experiments further validated that STARD10 plays a functional role in modulating fatty acid metabolism in breast cancer cells. These findings establish STARD10 as a novel molecular marker and potential therapeutic target in breast cancer, offering new insights into the metabolic mechanisms underlying tumor heterogeneity and disease progression.

Indexed as

Breast NeoplasmsFatty AcidsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSingle-Cell AnalysisCell Line, TumorDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMetabolic ReprogrammingSignal TransductionFatty AcidsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktbreast cancerfatty acid metabolismPI3K/Aktsingle-cell RNA sequencingSTARD10

Identifiers

PMID42653240
PMCPMC13513375

What OpenQuestion 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 OpenQuestion graph.