Evidence map›Paper›PMID 40069889›Full record

ArticleEuropean journal of medical research2025

SLC7A11, a disulfidptosis-related gene, correlates with multi-omics prognostic analysis in hepatocellular carcinoma.

Shizhe Li, Xiaotong Wang, Junbo Xiao, Jun Yi

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Shizhe Li *Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Xiaotong Wang *Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Junbo XiaoDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. xiaojunbo1992@csu.edu.cn.
Jun YiDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. junyee1989@csu.edu.cn.

Funding

China Postdoctoral Science Foundation 2021M693572National Natural Science Foundation of China 82000502
6 · The paper itself

Abstract

backgroundThis study sought to establish a risk score signature based on disulfidptosis-related genes (DRGs) to predict the prognosis of hepatocellular carcinoma (HCC) patients.

methodsThe expression data of DRGs from the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) was analyzed to develop and validate a DRG prognostic signature (DRGPS). In vitro, experiments were conducted to explore DRG expressions and roles in HCC tissues and cell lines. HCC tissue microarrays were employed to analyze SLC7A11 expression and its association with clinicopathological characteristics.

resultsThe DRGPS consisted of 5 DRGs (SLC7A11, MATN3, CLEC3B, CCNJL, and PON1). The survival rate of HCC patients in high-risk group was significantly lower than that in low-risk group. The DRGPS was also associated with the modulation of tumor microenvironment (TME), tumor mutation burden (TMB), stemness and chemosensitivity. Furthermore, pan-cancer analysis suggested that the DRGPS risk score was associated with immune infiltration and stemness in multiple cancers. Moreover, our DRGPS had potential for predicting treatment efficacy in HCC patients. Finally, we confirmed that downregulation of SLC7A11, a DRG, inhibited the proliferation and migration of HCC cells, while its high expression correlated with advanced TNM clinical stage and larger tumor size.

conclusionsThis study systematically describes a novel DRGPS constructed for predicting HCC prognosis, providing a new approach to risk stratification and treatment options. It also investigates the expression and function of SLC7A11, contributing to further exploration of the molecular mechanism underlying disulfidptosis in HCC, as well as its prognostic and therapeutic implications.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsCell Line, TumorDisulfidptosisFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMultiomicsPrognosisTumor MicroenvironmentBiomarkers, TumorDisulfidptosis-related genesHepatocellular carcinomaImmune infiltrationStemnessTumor mutation burden

Identifiers

PMID40069889
PMCPMC11900568

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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.