Evidence map›Paper›PMID 42364031›Full record

ArticleMolecular biology reports2026

Rho GTPase-related prognostic signature for esophageal squamous cell carcinoma identifies CTTN as a candidate adverse prognostic marker.

Hua Chen, Jun-Er Xu, Qiancheng Lin, Pingping Dong, Wangkai Xie, Xiangyang Xue, Xiaoming Lin

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Article in Molecular biology reports, 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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7 authors.

Hua Chen *Department of Chest Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Jun-Er Xu *Alberta Institute, Wenzhou Medical University, Wenzhou, China.
Qiancheng Lin *University of Illinois Urbana-Champaign, Champaign, Urbana, USA.
Pingping DongDepartment of Chest Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wangkai XieDepartment of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. 757774124@qq.com.
Xiangyang XueSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China. wzxxy001@163.com.
Xiaoming LinDepartment of Chest Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. sheermanlin@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRho GTPases orchestrate actin dynamics and tumor cell motility, but their prognostic relevance in esophageal squamous cell carcinoma (ESCC) remains unclear. We aimed to identify Rho GTPase-related differentially expressed genes (DEGs), build a prognostic model, evaluate important gene expression against clinicopathological features, and examine CTTN function in vitro.

methodsTranscriptomic data from GSE53625 and TCGA-ESCC were used. Rho GTPase-linked DEGs from tumor-normal comparisons entered univariate Cox, LASSO, and multivariable Cox analyses to construct a risk-score model; immune infiltration and a nomogram were also evaluated. For CTTN, 60 paired ESCC tissues were examined by Western blot and immunohistochemistry, and 18 additional pairs by qPCR, with correlations to clinicopathological variables and survival. ESCC cell lines were used to test the effects of CTTN expression on migration, invasion, and proliferation.

resultsWe identified 107 Rho GTPase-related DEGs enriched in actin cytoskeleton-remodeling pathways. Five genes (RHOV, RHOA, PIK3R1, CTTN, ARHGEF37) formed a prognostic signature that separated patients into high-risk and low-risk groups with different outcomes and remained associated with outcome after adjustment for available clinicopathological variables. However, stage and nodal status differed between risk groups, indicating that the signature may partly capture aggressive clinicopathological features. High-risk tumors showed differences in inferred immune-cell abundance, including B-cell, NK-cell, mast-cell, and neutrophil populations. CTTN was consistently upregulated versus normal tissue, especially in advanced-stage and nodal-metastatic disease, and enhanced ESCC cell migration and invasion in vitro.

conclusionsWe developed an exploratory Rho GTPase-based prognostic model for ESCC and identified CTTN as a candidate adverse prognostic marker and functional contributor to ESCC cell migration and invasion. The model, immune-infiltration findings, nomogram, and CTTN-related mechanistic interpretations require further validation in larger prospective cohorts and additional experimental systems.

Indexed as

Biomarkers, TumorCortactinEsophageal NeoplasmsEsophageal Squamous Cell Carcinomarho GTP-Binding ProteinsCell Line, TumorCell MovementCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisTranscriptomeBiomarkers, TumorCortactinCTTN protein, humanrho GTP-Binding ProteinsCTTN (Cortactin)Esophageal squamous cell carcinomaPrognostic modelRho GTPase

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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.