1. Expression of long non-coding RNA MFI2-AS1 is a strong predictor of recurrence in sporadic localized clear-cell renal cell carcinoma
- Author
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Quentin Manach, Roger Mouawad, Christophe Vaessen, Marc Olivier Bitker, Eva Comperat, Jean Philippe Spano, Nizar M. Tannir, Xiaoping Su, Gabriel G. Malouf, Jérôme Parra, David Khayat, Ronan Flippot, Frederick Allanic, Morgan Rouprêt, HAL UPMC, Gestionnaire, Institut Universitaire de Cancérologie [Paris] (IUC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service d'Oncologie médicale [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Pathologie [CHU Tenon], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), The University of Texas M.D. Anderson Cancer Center [Houston], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Universitaire de Cancérologie [Sorbonne Université] (IUC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and CHU Tenon [AP-HP]
- Subjects
0301 basic medicine ,Oncology ,Male ,Kaplan-Meier Estimate ,Bioinformatics ,[SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology ,Cohort Studies ,0302 clinical medicine ,Renal cell carcinoma ,Regulation of gene expression ,Aged, 80 and over ,0303 health sciences ,Multidisciplinary ,Hazard ratio ,Hematology ,Middle Aged ,Prognosis ,Kidney Neoplasms ,Long non-coding RNA ,3. Good health ,Gene Expression Regulation, Neoplastic ,030220 oncology & carcinogenesis ,Cohort ,[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN] ,Medicine ,Female ,RNA, Long Noncoding ,Adult ,medicine.medical_specialty ,Science ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,Article ,03 medical and health sciences ,[SDV.CAN] Life Sciences [q-bio]/Cancer ,Internal medicine ,[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN] ,Carcinoma ,Biomarkers, Tumor ,medicine ,Humans ,Carcinoma, Renal Cell ,Aged ,030304 developmental biology ,business.industry ,Gene Expression Profiling ,medicine.disease ,[SDV.MHEP.UN] Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology ,Gene expression profiling ,Clear cell renal cell carcinoma ,030104 developmental biology ,Cancer research ,Neoplasm Recurrence, Local ,business - Abstract
Prediction of recurrence is a challenge for the development of adjuvant treatments in clear-cell renal cell carcinoma (ccRCC). In these tumors, expression of long non-coding RNAs (lncRNAs) are deregulated and closely associated with prognosis. Thus, we aimed to predict ccRCC recurrence risk using lncRNA expression. We identified prognostic lncRNAs in a training set of 351 localized ccRCCs from The Cancer Genome Atlas and validated lncRNA-based recurrence classification in an independent cohort of 167 localized ccRCCs. We identified lncRNA MFI2-AS1 as best candidate in the training set. In the validation cohort, MFI2-AS1 expression was independently associated with shorter disease-free survival (Hazard Ratio (HR) for relapse 3.5, p = 0.0001). Combined with Leibovich classification, MFI2-AS1 status improved prediction of recurrence (C-index 0.70) compared to MFI2-AS1 alone (0.67) and Leibovich classification alone (0.66). In patients with aggressive tumors (Leibovich ≥5), MFI2-AS1 expression was associated with dramatically increased risk of relapse (HR 12.16, p MFI2-AS1 who had favorable outcomes. Compared to normal samples, MFI2-AS1 was upregulated in tumor tissue, and higher expression was associated with metastatic dissemination. Overall, MFI2-AS1 status improves patient stratification in localized ccRCC, which supports further integration of lncRNAs in molecular cancer classifications.
- Published
- 2017
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