861P - Expression of long non-coding RNA MFI2-AS1 is a strong predictor of recurrence in sporadic localized clear-cell renal cell carcinoma

Date 10 September 2017
Event ESMO 2017 Congress
Session Poster display session
Topics Renal Cell Cancer
Genitourinary Cancers
Translational Research
Basic Principles in the Management and Treatment (of cancer)
Presenter Ronan Flippot
Citation Annals of Oncology (2017) 28 (suppl_5): v295-v329. 10.1093/annonc/mdx371
Authors R. Flippot1, R. Mouawad1, J. Spano1, M. Rouprêt2, E. Compérat3, M. Bitker2, J. Parra2, C. Vaessen2, F. Allanic1, Q. Manach2, N. Tannir4, D. Khayat1, X. Su5, G. Malouf1
  • 1Medical Oncology, Groupe Hospitalier Pitié Salpetriere, 75651 - Paris/FR
  • 2Urology, Pitié-Salpêtrière Hospital, 75651 - Paris/FR
  • 3Pathology, Tenon Hospital, 75020 - Paris/FR
  • 4Genitourinary Medical Oncology, MD Anderson Cancer Center, 77030-4095 - Houston/US
  • 5Biostatistics And Computational Biology, MD Anderson Cancer Center, 77030-4095 - Houston/US



Improved patient stratification is a challenge in adjuvant clear-cell renal cell carcinoma (ccRCC) trials. Long non-coding RNAs (lncRNAs) are genome-wide regulators with potent prognostic value. We aimed to predict risk of ccRCC recurrence based on lncRNA expression from two independent cohorts.


Identification of prognostic lncRNAs was performed in a training set of 351 samples of localized ccRCC from the Cancer Genome Atlas, using Cox regression based on disease-free (DFS) and overall survival. Functional annotation of differentially expressed genes according to lncRNA expression was performed. The validation cohort included 167 localized ccRCC patients. Gene expression was studied by qRT-PCR. Kaplan-Meier estimators and Cox regression models were used for survival and multivariate analyses. Primary endpoint was DFS.


MFI2-AS1 was best candidate lncRNA in the developmental study. Its expression was associated with immune response genes expression. In the validation cohort, MFI2-AS1 expression was associated with shorter DFS (Hazard Ratio (HR) for relapse 3·5, p = 0·0001), independently from Leibovich recurrence classification and grade. Combined with Leibovich classification, MFI2-AS1 status improved prediction of recurrence, with a C-index of 0·70 compared to 0·67 for MFI2-AS1 alone and 0·66 for Leibovich classification alone. In patients with aggressive tumors (Leibovich ≥ 5), MFI2-AS1 expression was associated with a dramatically increased risk or relapse (HR 12·16, p 


MFI2-AS1 is a potent predictor of recurrence in localized ccRCC. Combined with historical classifications, it provides a highly accurate patient stratification that may be useful in adjuvant settings.

Clinical trial identification

Legal entity responsible for the study

Gabriel G Malouf, MD, PhD. Fondation Avec & Hôpital Salpêtrière, Department of Medical Oncology, Paris, France


Fondation Avec


N. Tannir: Honoraria and consulting: Bristol-Myers Squib, Exelixis, Nektar, Novartis, Pfizer, Argos, Calithera. Research funding: Bristol-Myers Squib, Exelixis, Epizyme, Novartis, Miranti. All other authors have declared no conflicts of interest.