Evidence map›Paper›PMID 40740774›Full record

ArticleFrontiers in immunology2025

Identification of CTSC-driven progression in ESCC by single-cell sequencing and experimental validation.

Xin Sui, Yongxu Jia, Jing Li, Jiayao Xu, Wenjia Wang, Yanru Qin

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Article in Frontiers in immunology, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xin SuiDepartment of Clinical Oncology, The First Affiliated Hospital Zhengzhou University, Zhengzhou, Henan, China.
Yongxu JiaDepartment of Clinical Oncology, The First Affiliated Hospital Zhengzhou University, Zhengzhou, Henan, China.
Jing LiDepartment of Clinical Oncology, The First Affiliated Hospital Zhengzhou University, Zhengzhou, Henan, China.
Jiayao XuDepartment of Clinical Oncology, The First Affiliated Hospital Zhengzhou University, Zhengzhou, Henan, China.
Wenjia WangDepartment of Clinical Oncology, The First Affiliated Hospital Zhengzhou University, Zhengzhou, Henan, China.
Yanru QinDepartment of Clinical Oncology, The First Affiliated Hospital Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The progression of cancer cells is influenced by the tumor microenvironment (TME); however, the molecular mechanisms driving the progression of esophageal squamous cell carcinoma (ESCC) remain unclear. Therefore, we aimed to investigate the TME of ESCC and construct a risk signature based on apoptosis-related genes to identify prognosis-related genes in ESCC. Methods: We integrated a total of 92,714 cells from 18 samples across three single-cell datasets to analyze the differences in cellular landscapes between primary tumor tissues and adjacent normal tissues. Subsequently, univariate COX regression analysis was employed to construct an apoptosis-related prognostic risk model. The expression of key risk genes was elucidated using immunohistochemistry (IHC). Additionally, the effects of CTSC knockdown on ESCC cell behavior were validated through Results: We identified three malignant cell subtypes (Malig1, Malig2, and Malig4) associated with worse prognosis, which were enriched in apoptosis-related pathways. Pseudotime analysis revealed that the expression scores of apoptosis-related pathways increased along the inferred pseudotime, indicating that apoptosis plays a critical regulatory role in the differentiation of malignant epithelial cells. Furthermore, analysis of the TME demonstrated that immune cells and cancer-associated fibroblasts (CAFs) were significantly more abundant in tumor tissues compared to non-tumor tissues. Additionally, we identified eight apoptosis-related genes associated with prognosis, among which the expression of CTSC was closely correlated with resistance outcomes in patients receiving neoadjuvant immunotherapy. Conclusions: CTSC plays a crucial role in driving TME remodeling and the progression of drug resistance in ESCC, making it a potential target for clinical therapy.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaAnimalsApoptosisBiomarkers, TumorCancer-Associated FibroblastsCell Line, TumorDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMicePrognosisSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorapoptosisCTSCesophageal squamous cell carcinomamalignant cellsingle cell RNA sequencingtumor microenvironment

Identifiers

PMID40740774
PMCPMC12307155

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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.