Integration of single-cell and bulk RNA sequencing to identify a distinct tumor stem cells and construct a novel prognostic signature for evaluating prognosis and immunotherapy in LUAD DOI Creative Commons
Fengyun Zhao, Mengting Chen,

Tianjiao Wu

и другие.

Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Фев. 22, 2025

Cancer stem cells (CSCs) are crucial for lung adenocarcinoma (LUAD). This study investigates tumor cell gene signatures in LUAD using single-cell RNA sequencing (scRNA-seq) and bulk (RNA-seq), aiming to develop a prognostic marker signature (TSCMS) model. scRNA-seq RNA-seq data were analyzed. CytoTRACE software quantified the stemness score of tumor-derived epithelial clusters. Gene Set Variation Analysis (GSVA) identified potential biological functions different The TSCMS model was constructed Lasso-Cox regression, its value assessed through Kaplan–Meier, Cox receiver-operating characteristic (ROC) curve analyses. Immune infiltration evaluated Cibersortx algorithm, drug response prediction performed pRRophetic package. TAF10 functional investigations involved bioinformatics analysis, qRT-PCR, Western blot, immunohistochemistry, assays proliferation. Seven distinct clusters by CytoTRACE, with cluster 1 (Epi_C1) showing highest potential. included 49 stemness-related genes; high-risk patients exhibited lower immune ESTIMATE scores increased purity. Significant differences landscapes chemotherapy sensitivity observed between risk groups. positively correlated expression-based various tumors, including LUAD. It over-expressed lines clinical tissues, high expression linked poor prognosis. Silencing inhibited proliferation sphere formation. demonstrates model's LUAD, reveals insights into therapeutic response, identifies as target.

Язык: Английский

Expression Analysis of Androglobin and its Influence on the Transcriptome in Cancer DOI
Carina Osterhof,

Michel Seiwert,

Stefan Mündnich

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Integration of single-cell and bulk RNA sequencing to identify a distinct tumor stem cells and construct a novel prognostic signature for evaluating prognosis and immunotherapy in LUAD DOI Creative Commons
Fengyun Zhao, Mengting Chen,

Tianjiao Wu

и другие.

Journal of Translational Medicine, Год журнала: 2025, Номер 23(1)

Опубликована: Фев. 22, 2025

Cancer stem cells (CSCs) are crucial for lung adenocarcinoma (LUAD). This study investigates tumor cell gene signatures in LUAD using single-cell RNA sequencing (scRNA-seq) and bulk (RNA-seq), aiming to develop a prognostic marker signature (TSCMS) model. scRNA-seq RNA-seq data were analyzed. CytoTRACE software quantified the stemness score of tumor-derived epithelial clusters. Gene Set Variation Analysis (GSVA) identified potential biological functions different The TSCMS model was constructed Lasso-Cox regression, its value assessed through Kaplan–Meier, Cox receiver-operating characteristic (ROC) curve analyses. Immune infiltration evaluated Cibersortx algorithm, drug response prediction performed pRRophetic package. TAF10 functional investigations involved bioinformatics analysis, qRT-PCR, Western blot, immunohistochemistry, assays proliferation. Seven distinct clusters by CytoTRACE, with cluster 1 (Epi_C1) showing highest potential. included 49 stemness-related genes; high-risk patients exhibited lower immune ESTIMATE scores increased purity. Significant differences landscapes chemotherapy sensitivity observed between risk groups. positively correlated expression-based various tumors, including LUAD. It over-expressed lines clinical tissues, high expression linked poor prognosis. Silencing inhibited proliferation sphere formation. demonstrates model's LUAD, reveals insights into therapeutic response, identifies as target.

Язык: Английский

Процитировано

0