A multi-axis biomarker model integrating KIM-1 and MAdCAM-1 in metastatic renal cell carcinoma.
Abstract
4554 Background: Kidney injury molecule-1 (KIM-1) and mucosal vascular addressin cell adhesion molecule-1 (MAdCAM-1) have each emerged as prognostic circulating biomarkers in metastatic renal cell carcinoma (mRCC). Whether these biomarkers capture overlapping or complementary aspects of disease biology, and whether their integration improves risk stratification, remains unclear. Methods: Baseline plasma KIM-1 and MAdCAM-1 levels were measured in 612 patients with previously untreated mRCC from the JAVELIN Renal 101 trial, including 323 patients treated with avelumab + axitinib and 289 with sunitinib. Biomarker concentrations were analyzed as continuous variables after log10 transformation. Associations with overall survival (OS) and progression-free survival (PFS) were assessed using multivariable Cox models adjusted for IMDC risk, age, and sex. A composite KIM-1–MAdCAM-1 risk score was developed to assess the incremental prognostic value of integrating these biomarkers. Results: Both KIM-1 and MAdCAM-1 levels were independently associated with OS and PFS in univariable analyses. In multivariable models including both biomarkers and adjusted for age, sex, and IMDC risk, higher KIM-1 levels remained associated with worse survival (OS: HR 1.57, 95% CI 1.28–1.93), whereas higher MAdCAM-1 levels were associated with improved survival (OS: HR 0.37, 95% CI 0.15–0.92). No significant interaction was observed between KIM-1 and MAdCAM-1, nor between either biomarker and treatment arm for OS or PFS. A composite KIM-1–MAdCAM-1 risk score was strongly associated with clinical outcomes. Patients in the highest-risk quartile had significantly worse PFS (median: 8.3 [5.7–11.1] vs 19.4 [13.8–NR] months) and OS rate (at 18 months: 65.0% [57.3–73.8] vs 90.0% [85.0–95.2]) compared to the lowest-risk quartile, across both treatment arms (Table). A joint KIM-1–MAdCAM-1 model demonstrated improved discrimination compared with either biomarker alone (p < 0.001), and the addition of both biomarkers to IMDC significantly improved OS discrimination (C-index 0.73 vs 0.67; p < 0.001). Conclusions: KIM-1 and MAdCAM-1 provide complementary and non-redundant prognostic information in mRCC. Their integration into a composite risk score significantly improves risk stratification beyond either biomarker alone and beyond IMDC criteria. These findings support a multi-axis circulating biomarker approach to prognostication in mRCC. Association of KIM-1–MAdCAM-1 composite score quartiles with progression-free and overall survival in the overall study cohort and by treatment arm. KIM-1–MAdCAM-1 Composite Score Entire CohortHR (95% CI) Avelumab + AxitinibHR (95% CI) SunitinibHR (95% CI) Progression-Free Survival (Q4 vs Q1) 2.12 (1.56–2.87) 2.00 (1.31–3.05) 2.20 (1.41–3.43) Overall Survival (Q4 vs Q1) 4.67 (2.71–8.05) 3.61 (1.75–7.44) 5.89 (2.54–13.7) HR, hazard ratio; CI, confidence interval; Q, quartile.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Marc Machaalani
Renee Maria Saliby
Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
Carolina Alves Costa Silva
Eddy Saad
Clara Steiner
University Hospital Leipzig, Leipzig, Germany
Caiwei Zhong
Dana-Farber Cancer Institute, Boston, MA
Emre Yekedüz
Xiaowen Liu
Liliana Ascione
Dana-Farber Cancer Institute, Boston, MA
Pablo Barrios
Dana-Farber Cancer Institute, Boston, MA
Ti Cai
EMD Serono Research and Development Institute, Billerica, MA
Gwo-Shu Mary Lee
Dana-Farber Cancer Institute, Boston, MA
Wanling Xie
Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
Sabina Signoretti
Maxine Sun
Dana-Farber Cancer Institute, Boston, MA
Laurence Zitvogel
Laurence Albiges
Department of Medical Oncology Gustave Roussy Villejuif France
David F. McDermott
Division of Medical Oncology, Department of Medicine Beth Israel Deaconess Medical Center Boston Massachusetts USA
Wenxin Xu
Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
Toni K. Choueiri
Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA