Identification of endoplasmic reticulum stress-related genes as prognostic markers in colon cancer DOI Creative Commons
Wenjing Xu, Wei Li,

Dayu Kuai

и другие.

Cancer Biology & Therapy, Год журнала: 2025, Номер 26(1)

Опубликована: Апрель 1, 2025

Endoplasmic reticulum stress (ERS) has been implicated in the pathogenesis of various cancers, including colon cancer, by regulating tumor cell survival, growth, and immune response. However, specific genes involved ERS that could serve as prognostic markers cancer remain underexplored. This study aims to identify validate endoplasmic related (ERSRGs) correlate with patient prognosis, thereby enhancing understanding oncological outcomes potential therapeutic targeting. We utilized bioinformatics analyses ERSRGs from publicly available datasets. Differential expression analysis survival were performed assess significance these genes. Validation was conducted through quantitative real-time PCR (RT-qPCR) on selected lines. Our identified nine (ASNS, ATF4, ATF6B, BOK, CLU, DDIT3, MANF, SLC39A14, TRAF2) critical pathways IL-12, PI3K-AKT, IL-7, IL-23 signaling, linked 1-, 3-, 5-year patients cancer. A multivariate Cox model based demonstrated significant power. Further, TRAF2 strong correlated cells infiltration, suggesting its roles modulating responses microenvironment. The RT-qPCR validation confirmed differential human lines versus normal colonic epithelial line. valuable may offer new insights into targeting

Язык: Английский

Identification of endoplasmic reticulum stress-related genes as prognostic markers in colon cancer DOI Creative Commons
Wenjing Xu, Wei Li,

Dayu Kuai

и другие.

Cancer Biology & Therapy, Год журнала: 2025, Номер 26(1)

Опубликована: Апрель 1, 2025

Endoplasmic reticulum stress (ERS) has been implicated in the pathogenesis of various cancers, including colon cancer, by regulating tumor cell survival, growth, and immune response. However, specific genes involved ERS that could serve as prognostic markers cancer remain underexplored. This study aims to identify validate endoplasmic related (ERSRGs) correlate with patient prognosis, thereby enhancing understanding oncological outcomes potential therapeutic targeting. We utilized bioinformatics analyses ERSRGs from publicly available datasets. Differential expression analysis survival were performed assess significance these genes. Validation was conducted through quantitative real-time PCR (RT-qPCR) on selected lines. Our identified nine (ASNS, ATF4, ATF6B, BOK, CLU, DDIT3, MANF, SLC39A14, TRAF2) critical pathways IL-12, PI3K-AKT, IL-7, IL-23 signaling, linked 1-, 3-, 5-year patients cancer. A multivariate Cox model based demonstrated significant power. Further, TRAF2 strong correlated cells infiltration, suggesting its roles modulating responses microenvironment. The RT-qPCR validation confirmed differential human lines versus normal colonic epithelial line. valuable may offer new insights into targeting

Язык: Английский

Процитировано

0