Clinical significance and immune landscape analyses of the coagulation-related gene signatures in gastric cancer DOI Creative Commons
Yue‐Ming Yu, Dingwei Liu, Jun Xie

et al.

Journal of Cancer, Journal Year: 2025, Volume and Issue: 16(6), P. 1971 - 1986

Published: March 3, 2025

Gastric cancer (GC) is one of the most common types clinically malignant tumors and a global health challenge due to its high mortality poor prognosis. The coagulation cascade closely related GC plays key role in tumor immune microenvironment. However, specific mechanisms by which coagulation-related genes involved occurrence development remains unclear. data patients were obtained from TCGA GSEA databases, respectively. After univariate Cox regression analysis, non-negative matrix factorization method was used identify molecular subtypes. categorized into high-risk low-risk score groups based on median risk scores, included six (PCDHAC1, HABP2, GPC3, GFRA1, F5, DKK1). There significant difference survival between two groups, predictive abilities for 1-, 3-, 5-year valid. Here, we demonstrated that gene signatures are valuable predicting patients. Besides, high- grouping also better reflects status mutation burden characteristics infiltration GC, provides theoretical basis individualized chemotherapy immunotherapy

Language: Английский

EXO1 is a key gene for lung-resident memory T cells and has diagnostic and predictive values for lung adenocarcinoma DOI Creative Commons
Zhuoqi Li,

Xiaoyan Lin,

Yang Yang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 1, 2025

Lung adenocarcinoma (LUAD) is a very common and lethal kind of lung malignancy. An increasing number studies indicated that tissue-resident memory T (TRM) cells played significant roles in anti-cancer immunity. In our previous study, EXO1 was found to be core gene for TRM the prognosis LUAD. However, tumor microenvironment, its application diagnosis prediction LUAD are still inadequately explored. this RNA expression, DNA methylation, CNV, somatic mutation data EXO1, corresponding patients' clinical information from publicly available databases were analyzed using bioinformatic methods. The results validated through immunohistochemical staining samples. showed aberrantly highly expressed tissues. High expression risky factor patients. level associated with many features such as TNM stages. It can also distinguish normal tissues accurately. correlated infiltration immune cells, high an adverse effect on patients receiving anti-PD-1/PD-L1 immunotherapy. Moreover, had worse DSS, DFI PFI.

Language: Английский

Citations

1
A novel classification method for LUAD that guides personalized immunotherapy on the basis of the cross-talk of coagulation- and macrophage-related genes DOI Creative Commons
Zhuoqi Li, Ling Chen,

Zhigang Wei

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 13, 2025

Purpose The coagulation process and infiltration of macrophages affect the progression prognosis lung adenocarcinoma (LUAD) patients. This study was designed to explore novel classification methods that better guide precise treatment LUAD patients on basis macrophages. Methods Weighted gene coexpression network analysis (WGCNA) applied identify M2 macrophage-related genes, TAM marker genes were acquired through scRNA-seq data. MSigDB KEGG databases used obtain coagulation-associated genes. intersecting defined as (COMAR) Unsupervised clustering evaluate distinct COMAR patterns for R package “limma” differentially expressed (DEGs) between patterns. A prognostic risk score model, which validated external data cohorts clinical samples, constructed DEGs. Results In total, 33 obtained, three subtypes identified There 341 DEGs subtypes, 60 selected constructing model. Finally, 15 prognosis-associated (CORO1A, EPHA4, FOXM1, HLF, IFIH1, KYNU, LY6D, MUC16, PPARG, S100A8, SPINK1, SPINK5, SPP1, VSIG4, XIST) included in efficient robust predicting patient outcomes receiving anti-PD-1/PD-L1 immunotherapy. Conclusions can be classified into according may provide guidance treatment.

Language: Английский

Citations

1
Discovering the Potential Role of the C2 DUSP2+ MCs Subgroup in Lung Adenocarcinoma DOI
Shengyi Zhang,

Xinhan Li,

Zhikai Xiahou

et al.

Translational Oncology, Journal Year: 2025, Volume and Issue: 54, P. 102295 - 102295

Published: Feb. 26, 2025

Language: Английский

Citations

0
Clinical significance and immune landscape analyses of the coagulation-related gene signatures in gastric cancer DOI Creative Commons
Yue‐Ming Yu, Dingwei Liu, Jun Xie

et al.

Journal of Cancer, Journal Year: 2025, Volume and Issue: 16(6), P. 1971 - 1986

Published: March 3, 2025

Gastric cancer (GC) is one of the most common types clinically malignant tumors and a global health challenge due to its high mortality poor prognosis. The coagulation cascade closely related GC plays key role in tumor immune microenvironment. However, specific mechanisms by which coagulation-related genes involved occurrence development remains unclear. data patients were obtained from TCGA GSEA databases, respectively. After univariate Cox regression analysis, non-negative matrix factorization method was used identify molecular subtypes. categorized into high-risk low-risk score groups based on median risk scores, included six (PCDHAC1, HABP2, GPC3, GFRA1, F5, DKK1). There significant difference survival between two groups, predictive abilities for 1-, 3-, 5-year valid. Here, we demonstrated that gene signatures are valuable predicting patients. Besides, high- grouping also better reflects status mutation burden characteristics infiltration GC, provides theoretical basis individualized chemotherapy immunotherapy

Language: Английский

Citations

0