Starvation-induced long non-coding RNAs are significant for prognosis evaluation of bladder cancer

Zhang, Chunlin; Bai, Xuesong; Peng, Xiang; Shi, Wei; Li, Yang; Chen, Guo; Yu, Haitao; Feng, Zhenwei; Yuanzhong, Deng

doi:10.18632/aging.204444

Cited by 2 publications

(1 citation statement)

References 37 publications

(37 reference statements)

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“…MIR1915HG has been reported to be associated with hypoxia in gastric adenocarcinoma (39). AL157895.1 has been reported to be associated with the occurrence and development of bladder cancer (40). However, to the best of our knowledge, no previously published studies have reported on roles for the other two lncRNAs, AL512363.1 and AC010615.2.…”

Section: Discussionmentioning

confidence: 96%

Disulfidptosis‑related lncRNA prognosis model to predict survival therapeutic response prediction in lung adenocarcinoma

Sun,

Li,

Gao

et al. 2024

Oncol Lett

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Lung adenocarcinoma (LUAD) is the most common pathological type of lung cancer, and disulfidptosis is a newly discovered mechanism of programmed cell death. However, the effects of disulfidptosis-related lncRNAs (DR-lncRNAs) in LUAD have yet to be fully elucidated. The aim of the present study was to identify and validate a novel lncRNA-based prognostic marker that was associated with disulfidptosis. RNA-sequencing and associated clinical data were obtained from The Cancer Genome Atlas database. Univariate Cox regression and lasso algorithm analyses were used to identify DR-lncRNAs and to establish a prognostic model. Kaplan-Meier curves, receiver operating characteristic curves, principal component analysis, Cox regression, nomograms and calibration curves were used to assess the reliability of the prognostic model. Functional enrichment analysis, immune infiltration analysis, somatic mutation analysis, tumor microenvironment and drug predictions were applied to the risk model. Reverse transcription-quantitative PCR was subsequently performed to validate the mRNA expression levels of the lncRNAs in normal cells and tumor cells. These analyses enabled a DR-lncRNA prognosis signature to be constructed, consisting of nine lncRNAs; U91328.1, LINC00426, MIR1915HG, TMPO-AS1, TDRKH-AS1, AL157895.1, AL512363.1, AC010615.2 and GCC2-AS1. This risk model could serve as an independent prognostic tool for patients with LUAD. Numerous immune evaluation algorithms indicated that the low-risk group may exhibit a more robust and active immune response against the tumor. Moreover, the tumor immune dysfunction exclusion algorithm suggested that immunotherapy would be more effective in patients in the low-risk group. The drug-sensitivity results showed that patients in the high-risk group were more sensitive to treatment with crizotinib, erlotinib or savolitinib. Finally, the expression levels of AL157895.1 were found to be lower in A549. In summary, a novel DR-lncRNA signature was constructed, which provided a new index to predict the efficacy of therapeutic interventions and the prognosis of patients with LUAD.

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Section: Discussionmentioning

confidence: 96%