Evidence map›Paper›PMID 42107021›Full record

ArticleDiscover oncology2026

A GIMAP family signature for prognostic prediction and immune characterization in hepatocellular carcinoma patients.

Jianlin Lv, Linlin Liu, Meng Xia, Yuanqian Yao, Guanqiao Jin

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.

0numbers the graph read from it
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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.

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4 · The record

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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

5 authors.

Jianlin Lv *Guangxi Medical University Cancer Hospital, Nanning, 530000, China.
Linlin Liu *Guangxi University of Chinese Medicine, Nanning, 530000, China.
Meng XiaGuangxi University of Chinese Medicine, Nanning, 530000, China.
Yuanqian YaoGuangxi University of Chinese Medicine, Nanning, 530000, China.
Guanqiao JinGuangxi Medical University Cancer Hospital, Nanning, 530000, China. GXYFDZLYYjgq@163.com.

Funding

Guangxi key research and development project GUIKEAB23026137Project funded by China Postdoctoral Science Foundation 2023MD734157The National Natural Science Foundation of China 81860839The Natural Science Foundation of Guangxi 2022GXNSFAA035446
6 · The paper itself

Abstract

backgroundGTPase, IMAP family genes (GIMAPFGs) are extensively used for diagnosis and treatment in cancer, their prognostic significance and therapeutic potential in hepatocellular carcinoma (HCC) remain insufficiently explored.

methodsGIMAPFGs associated with HCC prognosis were identified using Cox regression analysis. a prognostic model was constructed through multivariate Cox regression, the model was validated on an independent dataset. followed by an analysis of its biological function. We analyzed variations in tumor immune cell infiltration according to the prognostic signature. Meanwhile, single-cell analysis demonstrated the expression of GIMAPFGs in HCC.

resultsA prognostic risk model was developed using 2 GIMAPFGs (GIMAP1 and GIMAP8) and its prognostic significance was confirmed with an independent external HCC dataset, establishing it as an independent risk factor for HCC patients. This characteristic is also associated with the immune microenvironment of HCC.

conclusionsThis novel GIMAPFGs signature provides a valuable tool for patient stratification and offer a new therapeutic approach for HCC.

Indexed as

GTPaseHepatocellular carcinomaIMAP familyImmunePrognosis

Identifiers

PMID42107021
PMCPMC13328535

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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.