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Journal of Cancer Research and Clinical Oncology

Erschienen in:

15.07.2023 | Research

Improved prediction of prognosis and therapy response for lung adenocarcinoma after identification of DNA-directed RNA polymerase-associated lncRNAs

verfasst von: Jiaao Yu, Liqiang Lan, Caixin Liu, Xiao Zhu

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 14/2023

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Abstract

Background

DNA-directed RNA polymerase (DDRP) related genes and long non-coding RNAs (lncRNAs) play an important role in the development of lung adenocarcinoma (LUAD), the leading cause of cancer-related death worldwide. Therefore, we aimed to construct a DDRP-associated lncRNA model to predict the prognosis of LUAD and to evaluate its sensitivity to immunotherapy and chemotherapy.

Methods

To construct a predictive signature, we used univariate and multivariate Cox regression analyses, as well as the least absolute shrinkage and selection operator regression analysis. The prognostic model was verified by applying the ROC curve analysis, Kaplan–Meier analysis, GO/KEGG analysis, and a predictive nomogram. Eventually, immunotherapy and drug susceptibility were examined and stemness indices were analyzed.

Results

24 DDRP-associated lncRNAs were found as independent prognosis factors, which may be further developed as potential therapeutic vaccines for LUAD. The area under the ROC curve and the conformance index showed that the constructed model can predict the prognosis of LUAD patients. The predicted incidences of overall survival showed perfect conformance. And there were significant changes in immunological markers between the two risk subgroups in the model. Finally, an analysis of 50% maximum inhibitory concentration between the two risk subgroups showed that the high-risk subgroup was more sensitive to certain chemotherapy drugs.

Conclusion

We constructed a model that accurately predicts the outcomes of LUAD based on 24 DDRP-related lncRNAs and provided promising treatment options for the future.

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Titel: Improved prediction of prognosis and therapy response for lung adenocarcinoma after identification of DNA-directed RNA polymerase-associated lncRNAs
verfasst von: Jiaao Yu
Liqiang Lan
Caixin Liu
Xiao Zhu
Publikationsdatum: 15.07.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Cancer Research and Clinical Oncology / Ausgabe 14/2023
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI: https://doi.org/10.1007/s00432-023-05118-x

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Improved prediction of prognosis and therapy response for lung adenocarcinoma after identification of DNA-directed RNA polymerase-associated lncRNAs

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