Circulating KIM-1 and ctDNA as prognostic markers in oligometastatic clear cell renal cell carcinoma (ccRCC): The K-COMPASS model.
Abstract
537 Background: Biomarkers do not yet exist to triage patients with oligometastatic ccRCC for de-escalation strategies. Two promising biomarkers are kidney injury molecule-1 (KIM-1) and circulating tumor DNA (ctDNA). Methods: Patients with ccRCC and ≤5 metastases were enrolled on a single-arm phase 2 trial of metastasis-directed therapy (MDT) without systemic therapy (NCT03575611), powered for the primary endpoint of systemic therapy–free survival (STFS). Plasma samples for ctDNA and KIM-1 measurement were collected at baseline and 3-month follow-up. Personalized ctDNA detection panels (≤2000 somatic variants) were constructed from tumor whole-genome sequencing (Myriad Genetics). To create the Kidney Cancer OligoMetastasis Prognostic Assessment Systemic Score (K-COMPASS), we screened 24 candidate variables by elastic net-penalized Cox regression with 5-fold cross-validation repeated 100 times, with performance assessed by C-index. Predictors with nonzero coefficients were refit with Weibull regression for STFS. Results: Among 112 patients with KIM-1 measurements available, median baseline KIM-1 level was 127.0 pg/mL (IQR 71.5–228.0). KIM-1 and ctDNA were associated with STFS at baseline and 3 months in univariable and multivariable analyses (table). Progression-free survival (PFS) and overall survival (OS) were also associated with KIM-1 at baseline (PFS: HR=2.2, 95% CI 1.5–3.3; OS: HR=5.1, 95% CI 2.5–10.2, P <0.001) and at 3 months (PFS: HR=3.5, 95% CI 2.2–5.5; OS: HR=5.0, 95% CI 2.3–10.9) (all P <0.001). K-COMPASS construction selected baseline KIM-1, baseline ctDNA MRD, and 4 clinical variables (prior systemic therapy lines, ECOG performance status, number of metastatic lesions, time from diagnosis to metastasis). The complete model showed strong discrimination (C-index=0.76) and excellent calibration (slope=1). A user-facing K-COMPASS tool is available online (www.trialdesign.org). Conclusions: To our knowledge, this is the first evaluation of KIM-1 in oligometastatic ccRCC and the first to analyze KIM-1 and ctDNA in tandem for RCC. Both biomarkers were strongly and independently associated with outcomes in patients receiving MDT without systemic therapy. Integrating KIM-1 and ctDNA with clinical factors (K-COMPASS) yielded a well-calibrated model with high discrimination to support risk-adapted decision-making. External validation is planned. Univariable and multivariable association of baseline KIM-1 and ctDNA MRD status with systemic therapy free survival. HR (95% CI) Baseline 3-Month Follow-Up Univariable Multivariable Univariable Multivariable KIM-1(per log10[pg/mL]) 2.5 (1.5–4.1) P <0.001 1.9 (1.0–3.6) P =0.041 3.2 (1.9–5.4) P< 0.001 2.2 (1.1–4.5) P =0.028 ctDNA (MRD+ vs MRD–) 2.8 (1.3–5.9) P =0.0089 2.5 (1.1–5.6) P =0.032 4.4 (2.1–9.5) P< 0.001 2.7 (1.1–6.7) P =0.032
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (19)
Chad Tang
Department of Genitourinary Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA
Aaron Seo
Department of Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
Alexander Dean Sherry
Mayo Clinic Rochester, Rochester, MN
Peng Yang
Kieko Hara
Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Kanishka Sircar
Giannicola Genovese
Eric Jonasch
Department of Genitourinary Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA
Amishi Yogesh Shah
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
Sarah Ratzel
Myriad Genetics, Inc., Salt Lake City, UT
Ashley Acevedo
Myriad Genetics, Inc., Salt Lake City, UT
Christopher J Battey
Myriad Genetics, Salt Lake City, UT
Clara Steiner
University Hospital Leipzig, Leipzig, Germany
Liliana Ascione
Dana-Farber Cancer Institute, Boston, MA
Xiaowen Liu
Nizar M. Tannir
Toni K. Choueiri
Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
Pavlos Msaouel
Wenxin Xu
Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA