Exploring Novel Genome Instability-associated lncRNAs and their Potential Function in Pan-Renal Cell Carcinoma
- Authors: Zhu H.1, Zheng W.2, Chen H.3, Chen J.4, Lin F.5, Chen S.3, Xue X.5, Zheng Q.3, Liang M.6, Xu N.5, Chen D.7, Sun X.3
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Affiliations:
- Department of Surgery,, First Affiliated Hospital of Fujian Medical University
- Department of Urology, Urology Research Institute, First Affiliated Hospital of Fujian Medical University
- Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University
- Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University,
- Department of Urology, Urology Research Institute,, The First Affiliated Hospital, Fujian Medical University
- Department of Anesthesiology, Anesthesiology Research Institute, The First Affiliated Hospital of Fujian Medical University
- Department of Urology, Urology Research Institute,, The First Affiliated Hospital, Fujian Medical University,
- Issue: Vol 27, No 12 (2024)
- Pages: 1788-1807
- Section: Chemistry
- URL: https://rjpbr.com/1386-2073/article/view/643975
- DOI: https://doi.org/10.2174/0113862073258779231020052115
- ID: 643975
Cite item
Full Text
Abstract
Objective:Genomic instability can drive clonal evolution, continuous modification of tumor genomes, and tumor genomic heterogeneity. The molecular mechanism of genomic instability still needs further investigation. This study aims to identify novel genome instabilityassociated lncRNAs (GI-lncRNAs) and investigate the role of genome instability in pan-Renal cell carcinoma (RCC).
Materials and Methods:A mutator hypothesis was employed, combining the TCGA database of somatic mutation (SM) information, to identify GI-lncRNAs. Subsequently, a training cohort (n = 442) and a testing cohort (n = 439) were formed by randomly dividing all RCC patients. Based on the training cohort dataset, a multivariate Cox regression analysis lncRNAs risk model was created. Further validations were performed in the testing cohort, TCGA cohort, and different RCC subtypes. To confirm the relative expression levels of lncRNAs in HK-2, 786-O, and 769-P cells, qPCR was carried out. Functional pathway enrichment analyses were performed for further investigation.
Results:A total of 170 novel GI-lncRNAs were identified. The lncRNA prognostic risk model was constructed based on LINC00460, AC073218.1, AC010789.1, and COLCA1. This risk model successfully differentiated patients into distinct risk groups with significantly different clinical outcomes. The model was further validated in multiple independent patient cohorts. Additionally, functional and pathway enrichment analyses revealed that GI-lncRNAs play a crucial role in GI. Furthermore, the assessments of immune response, drug sensitivity, and cancer stemness revealed a significant relationship between GI-lncRNAs and tumor microenvironment infiltration, mutational burden, microsatellite instability, and drug resistance.
Conclusions:In this study, we discovered four novel GI-lncRNAs and developed a novel signature that effectively predicted clinical outcomes in pan-RCC. The findings provide valuable insights for pan-RCC immunotherapy and shed light on potential underlying mechanisms.
About the authors
Hui-Xin Zhu
Department of Surgery,, First Affiliated Hospital of Fujian Medical University
Email: info@benthamscience.net
Wen-Cai Zheng
Department of Urology, Urology Research Institute, First Affiliated Hospital of Fujian Medical University
Email: info@benthamscience.net
Hang Chen
Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University
Email: info@benthamscience.net
Jia-Yin Chen
Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University,
Email: info@benthamscience.net
Fei Lin
Department of Urology, Urology Research Institute,, The First Affiliated Hospital, Fujian Medical University
Email: info@benthamscience.net
Shao-Hao Chen
Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University
Email: info@benthamscience.net
Xue-Yi Xue
Department of Urology, Urology Research Institute,, The First Affiliated Hospital, Fujian Medical University
Email: info@benthamscience.net
Qing-Shui Zheng
Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University
Email: info@benthamscience.net
Min Liang
Department of Anesthesiology, Anesthesiology Research Institute, The First Affiliated Hospital of Fujian Medical University
Email: info@benthamscience.net
Ning Xu
Department of Urology, Urology Research Institute,, The First Affiliated Hospital, Fujian Medical University
Email: info@benthamscience.net
Dong-Ning Chen
Department of Urology, Urology Research Institute,, The First Affiliated Hospital, Fujian Medical University,
Author for correspondence.
Email: info@benthamscience.net
Xiong-Lin Sun
Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University
Author for correspondence.
Email: info@benthamscience.net
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