Evidence map›Paper›PMID 38206300›Full record

ArticleAging2024

Integrated multi-omics analyses reveal the TM4SF family genes with prognostic and therapeutic relevance in hepatocellular carcinoma.

Qiang Tang, Shurui Wang, Huimin Li, Junzhi Liu, Xin Hu, Dong Zhao, Maojun Di

Abstract read
In one paragraph

Article in Aging, 2024. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qiang TangDepartment of Gastrointestinal Surgery, Shiyan Taihe Hospital, Hubei University of Medicine, Hubei Province, China.
Shurui WangSchool of Nursing, Peking Union Medical College, Beijing, China.
Huimin LiTianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Junzhi LiuTianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Xin HuDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Dong ZhaoDepartment of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, China.
Maojun DiDepartment of Gastrointestinal Surgery, Shiyan Taihe Hospital, Hubei University of Medicine, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TM4SF family members (TM4SFs) have been shown to be aberrantly expressed in multiple types of cancer. However, a comprehensive investigation of the TM4SFs has yet to be performed in LIHC. The study comprehensively investigated the expression and prognostic value of TM4SFs. Then, a TM4SFs-based risk model and nomogram were constructed for prognostic prediction. Finally, functional loss of TM4SFs was performed to verify the potential role of TM4SFs in LIHC. We found that TM4SFs were significantly up-regulated in LIHC. High expression and hypomethylation of TM4SFs were associated with poor prognosis of LIHC patients. Then, a TM4SFs-based risk model was constructed that could effectively classify LIHC patients into high and low-risk groups. In addition, we constructed a prognostic nomogram that could predict the long-term survival of LIHC patients. Based on immune infiltration analysis, high-risk patients had a relatively higher immune status than low-risk patients. Moreover, the prediction module could predict patient responses to immunotherapy and chemotherapy. Finally, loss-of-function studies showed that TM4SF4 knockdown could substantially suppress the growth, migratory, and invasive abilities of LIHC cells. Targeting TM4SFs will contribute to effective immunotherapy strategies and improve the prognosis of liver cancer patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansImmunotherapyMembrane GlycoproteinsMultiomicsPrognosisMembrane GlycoproteinsTM4SF4 protein, humanexpressionprognostictherapeutic targetTM4SFstumor-infiltrating immune

Identifiers

PMID38206300
PMCPMC10817404

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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.