Evidence map›Paper›PMID 41678042›Full record

ArticleDiscover oncology2026

Unveiling membrane transporter proteins-related genes for predicting the prognosis of hepatocellular carcinoma patients.

Yifu Xiao, Guoqing Zhang, Hui Zhao

Abstract read
In one paragraph

Article in Discover oncology, 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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0citing papers in PubMed
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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yifu XiaoDepartment of Interventional Radiology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Guoqing ZhangDepartment of Interventional Radiology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Hui ZhaoDepartment of Interventional Radiology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China. zhaohui800@163.com.

Funding

Jiangsu Provincial Research Hospital YJXYY202204
6 · The paper itself

Abstract

backgroundPrior research has indicated that membrane transporter proteins may play a role in tumorigenesis, progression, and mechanisms of drug resistance in hepatocellular carcinoma (HCC) by affecting the transport of drugs, nutrients, and metabolites. Therefore, a comprehensive elucidation of the role of membrane transporter protein-related genes (MTPRGs) in the outcome of those suffering with HCC is essential.

methodsThe bulk RNA data/survival information/clinical records of HCC patients were retrieved from the UCSC Xena and the Gene Expression Omnibus databases. Through combining differential analysis, the protein-protein interaction construction, univariate COX regression analysis, and least absolute shrinkage and selection operator (LASSO), the membrane transporter protein-related prognostic genes were identified, and the prognostic model was subsequently formulated. The relation between risk score and immune infiltration, clinical features, and chemotherapy was further evaluated. The expression of prognostic genes was afterwards assessed by in vitro tests.

resultsThrough a comprehensive analysis, three membrane transporter protein-related prognostic genes (SLC1A5, SLC38A1, and GPD1L) for HCC patients were identified. Moreover, the prognostic model demonstrated robust predictive efficacy for predictions of individuals with HCC. Additionally, risk score had significant associations with immune infiltration, clinical features, and chemotherapy. Furthermore, SLC1A5, SLC38A1, and GPD1L were all highly expressed in the HCC samples.

conclusionOur research generated a risk model incorporating MTPRGs which shown strong predictive effectiveness for the prognosis of HCC patients, which will offer novel insights to guide subsequent therapy strategies.

Indexed as

Hepatocellular carcinomaMembrane transporter proteinsPrognosisRisk score

Identifiers

PMID41678042
PMCPMC13000023

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.