Evidence map›Paper›PMID 39264423›Full record

ArticleJournal of cancer research and clinical oncology2024

RAC1 serves as a prognostic factor and correlated with immune infiltration in liver hepatocellular carcinoma.

Yuan Li, Aidong Gu, Lili Yang, Qingbo Wang

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuan Li *Department of Chemotherapy, The Second Hospital of Nanjing,Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Aidong Gu *Department of Hepatobiliary Surgery, The Second Hospital of Nanjing,Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Lili YangDepartment of Chemotherapy, The Second Hospital of Nanjing,Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Qingbo WangDepartment of Chemotherapy, The Second Hospital of Nanjing,Affiliated to Nanjing University of Chinese Medicine, Nanjing, China. luoriwangchao@126.com.

Funding

National Natural Science Foundation of China 81800197
6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (LIHC) has severe consequences due to late diagnosis and the lack of effective therapies. Currently, potential biomarkers for the diagnosis and prognosis of LIHC have not been systematically evaluated. Previous studies have reported that RAC1 is associated with the B cell receptor signaling pathway in various tumor microenvironments, but its relationship with LIHC remains unclear. We investigated the relationship between RAC1 and the prognosis and immune infiltration microenvironment of LIHC, exploring its potential as a prognostic biomarker for this type of cancer.

methodsIn this study, we analyzed data from The Cancer Genome Atlas (TCGA) using the Wilcoxon signed-rank test and logistic regression to assess the association between RAC1 expression and clinical characteristics in LIHC patients. Additionally, Kaplan-Meier and Cox regression methods were employed to confirm the impact of RAC1 expression levels on overall survival. Immunohistochemistry was used to validate RAC1 protein expression in LIHC. We constructed RAC1 knockdown LIHC cells and studied the effects of RAC1 protein on cell proliferation and migration at both cellular and animal levels.

resultsRAC1 expression levels were significantly elevated in LIHC tissues compared to normal tissues. High RAC1 expression was strongly associated with advanced pathological stages and was identified as an independent factor negatively affecting overall survival. At both cellular and animal levels, RAC1 knockdown significantly inhibited the proliferation and migration of LIHC cells. Furthermore, RAC1 expression was positively correlated with the infiltration of Th2 cells and macrophages in the tumor microenvironment, suggesting that RAC1 may contribute to the deterioration of the tumor immunosuppressive microenvironment and potentially lead to reduced patient survival.

conclusionThese findings indicate that RAC1 expression promotes LIHC proliferation and migration and influences the landscape of immune cell infiltration in the tumor microenvironment. Based on these results, RAC1 is proposed as a potential prognostic biomarker for LIHC, associated with both cancer progression and tumor immune cell infiltration.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver Neoplasmsrac1 GTP-Binding ProteinTumor MicroenvironmentAnimalsCell Line, TumorCell MovementCell ProliferationFemaleHumansLymphocytes, Tumor-InfiltratingMaleMiceMice, NudeMiddle AgedBiomarkers, Tumorrac1 GTP-Binding ProteinRAC1 protein, humanImmune infiltrationLiver hepatocellular carcinomaOverall survivalRAC1

Identifiers

PMID39264423
PMCPMC11393158

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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.