Introduction:
To compare outcomes in high-risk localized RCC (HRL-RCC) patients treated with adjuvant (AT) and neoadjuvant therapy (NT) utilizing a propensity score matched model (PSM)
Methods:
We conducted a multicenter analysis for patients who underwent AT or NT. AT was defined as systemic therapy given postoperatively in absence of metastases; NT was presurgical therapy in setting of localized disease. AT and NT utilized included target molecular therapy (TMT) or immunotherapy (IO). PSM model was conducted using a nearest neighbor matching algorithm in a 1:2 ratio. Primary outcome was all-cause mortality (ACM); secondary outcomes were cancer-specific mortality (CSM) and recurrence. Cox regression multivariable analysis (MVA) was fitted to elucidate predictors of outcomes.
Results:
After PSM 311 patients were analyzed [adjuvant n=221, 127 TMT vs. 94 IO; neoadjuvant n=90, 61 TMT vs. 29 IO]; median follow-up 44 (IQR 20-74) months. MVA revealed AT as associated with increased ACM (HR=1.97, p=0.007), CSM (HR=2.37, p=0.007) and recurrence (HR 1.64, p=0.02). Sub-analysis of AT cohort revealed IO to be associated with decreased ACM (HR 0.59, p=0.015). In the neoadjuvant cohort TMT and IO were associated with decreased ACM (HR 0.49; p=0.016; HR 0.32, p=0.016, respectively) and CSM risk (HR 0.47, p=0.036; HR 0.18, p=0.017).
Conclusion:
Our findings suggest a potential advantage of NT for HRL-RCC. Adjuvant immunotherapy was associated with decreased risk of ACM, while in the neoadjuvant TMT and IO therapy had similar outcomes. Our findings call for consideration of a clinical trial to compare outcomes of AT vs. NT.
Funding: N/A
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PROPENSITY SCORE-MATCHED ANALYSIS OF NEOADJUVANT VS. ADJUVANT THERAPY IN RENAL CELL CARCINOMA
Category
Kidney Cancer > Advanced
Description
Poster #48
Presented By: Cesare Saitta
Authors:
Cesare Saitta
Mimi V. Nguyen
Giacomo Musso
Kevin Hakimi
Dattatraya Patil
Hajime Tanaka
Luke Wang
Margaret F. Meagher
Dhruv Puri
Kit Yuen
Masaki Kobayashi
Shohei Fukuda
Giuseppe Garofano
Giovanni Lughezzani
Nicolò M. Buffi
Viraj Master
Ithaar H. Derweesh