1. Additional biological and clinical characteristics to refine International Metastatic RCC Database Consortium (IMDC) prognostic/predictive assessment in metastatic renal cell carcinoma (mRCC)
- Author
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Ilaria Zampiva, Sara Merler, Nicola Inzerilli, Francesca Zacchi, Stefano Manduca, Sarah Pafumi, Michela Piacentini, Stefano Marletta, Ursula Cesta Incani, Lorena Torroni, Roberta Vesentini, Pierpaolo Marchetti, Emanuela Fantinel, Andrea Zivi, Anna Caliò, Matteo Brunelli, Giuseppe Verlato, and Michele Milella
- Subjects
Cancer Research ,Oncology - Abstract
705 Background: mRCC prognostic stratification is currently based on the IMDC score. However, some patients experience outcomes markedly different from those predicted by the median outcome of their risk class. Moreover, risk scores are prognostic, rather than predictive, and developing reproducible, affordable, biology-based predictive biomarkers to tailor treatment choices in individual pts remains an unmet clinical need. Methods: A retrospective cohort of 113 mRCC pts treated at the Verona University Hospital Trust between 2013 and 2021 was explored to identify additional clinical prognostic factors for OS to complement IMDC score. Outlier pts (i.e. individual pts whose clinical outcome differed significantly from the median of the IMDC group they belonged to) were further explored to find putative molecular signatures, using FISH and IHC assays. Results: At a median follow-up of 69 months (range 18-136m), novel variables impacting on OS in addition to IMDC risk group were identified: bone, central nervous system (CNS) and pancreatic mets and high neutrophil/lymphocyte ratio (N/L) with a cut-off of 3.2. We also analyzed outliers: 3 good-risk pts with lower than expected OS, 4 poor-risk pts with longer than expected OS, and two intermediate-risk pts with long treatment response. Two putative signatures were found predictive of disease behavior: a cold signature (9p loss, poor of TILs) and a hot signature (rich in CD56+, CD15+ and CD8+ infiltrating cells). The cold and hot signatures were found in good risk pts with bad OS and poor-risk pts good OS, respectively; both intermediate-risk pts had a hot signature, consistent with their disease course. Conclusions: Additional clinical and molecular factors have been identified to possibly improve IMDC prognostic performance; multivariable models including them along with standard IMDC are being developed. Molecular analysis suggests potential signatures to be applied in routine clinical practice, whose predictive performance could be validated in prospective multicentric trials. [Table: see text]
- Published
- 2023