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Khazaal A, Zandavi SM, Smolnikov A, Fatima S, Vafaee F. Pan-Cancer Analysis Reveals Functional Similarity of Three lncRNAs across Multiple Tumors. Int J Mol Sci 2023; 24:ijms24054796. [PMID: 36902227 PMCID: PMC10003012 DOI: 10.3390/ijms24054796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 02/24/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are emerging as key regulators in many biological processes. The dysregulation of lncRNA expression has been associated with many diseases, including cancer. Mounting evidence suggests lncRNAs to be involved in cancer initiation, progression, and metastasis. Thus, understanding the functional implications of lncRNAs in tumorigenesis can aid in developing novel biomarkers and therapeutic targets. Rich cancer datasets, documenting genomic and transcriptomic alterations together with advancement in bioinformatics tools, have presented an opportunity to perform pan-cancer analyses across different cancer types. This study is aimed at conducting a pan-cancer analysis of lncRNAs by performing differential expression and functional analyses between tumor and non-neoplastic adjacent samples across eight cancer types. Among dysregulated lncRNAs, seven were shared across all cancer types. We focused on three lncRNAs, found to be consistently dysregulated among tumors. It has been observed that these three lncRNAs of interest are interacting with a wide range of genes across different tissues, yet enriching substantially similar biological processes, found to be implicated in cancer progression and proliferation.
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Affiliation(s)
- Abir Khazaal
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW 2052, Australia
- UNSW Data Science Hub, University of New South Wales, Sydney, NSW 2052, Australia
| | - Seid Miad Zandavi
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW 2052, Australia
- Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | - Andrei Smolnikov
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW 2052, Australia
| | - Shadma Fatima
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW 2052, Australia
- Ingham Institute of Applied Medical Research, Sydney, NSW 2170, Australia
| | - Fatemeh Vafaee
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW 2052, Australia
- UNSW Data Science Hub, University of New South Wales, Sydney, NSW 2052, Australia
- Correspondence:
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Zhou R, Chen X, Liang J, Chen Q, Tian H, Yang C, Liu C. A circadian rhythm-related gene signature associated with tumor immunity, cisplatin efficacy, and prognosis in bladder cancer. Aging (Albany NY) 2021; 13:25153-25179. [PMID: 34862329 PMCID: PMC8714136 DOI: 10.18632/aging.203733] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 11/22/2021] [Indexed: 12/16/2022]
Abstract
Circadian dysregulation involves malignant tumor initiation and progression, but the understanding of circadian rhythm’s roles in bladder cancer (BCa) remains insufficient. The circadian rhythm-related genes were collected and clustered based on the Cancer Genome Atlas (TCGA), and the clustering was significantly associated with the prognosis and risk clinicopathological features. Through genomic difference analysis and gene pairing, a circadian rhythm-related signature was successfully established. Kaplan-Meier survival analysis and time-dependent receiver operating curves displayed that the prognosis model was a reliable prognosis biomarker both in the training cohort (n = 396, P = 2.687e-10) and external validation cohort (n = 224, P = 1.45e-02). The patients with high risk have high immune infiltration and high expression of immune checkpoint genes, which partly account for the poor prognosis. TIDE algorithm and the validation in IMvigor210 cohort indicated that the risk signature was a promising marker for the immunotherapeutic response. The risk model could also predict the therapeutic response of cisplatin, which was validated in the Genomics of Drug Sensitivity in Cancer database (P = 0.0049), TCGA (P = 0.038), and T24 BCa cells treated with cisplatin. The functional enrichment showed the risk model was significantly correlated with some malignant phenotypes, such as angiogenesis, epithelial-mesenchymal transition, and KRAS signaling pathway. Totally, we proposed a novel circadian rhythm-related signature for prognosis evaluation, which also helped to predict the immune infiltration and cisplatin sensitivity in BCa.
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Affiliation(s)
- Ranran Zhou
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.,The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xinyu Chen
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.,The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jingjing Liang
- Department of Cardiology, Shunde Hospital of Southern Medical University, Foshan, China
| | - Qi Chen
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.,The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Hu Tian
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.,The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Cheng Yang
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.,The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Cundong Liu
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.,The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
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