Abstract
Purpose
The KEYNOTE-564 trial showed improved disease-free survival (DFS) for patients with high-risk renal cell carcinoma (RCC) receiving adjuvant pembrolizumab as compared to placebo. However, if systematically administered to all high-risk patients, it might lead to the overtreatment in a non-negligible proportion of patient. Therefore, we aimed to determine the optimal candidate for adjuvant pembrolizumab.
Methods
Within a prospectively maintained database we selected patients who fulfilled the inclusion criteria of the KEYNOTE-564. We compared baseline characteristics and oncologic outcomes in this cohort with those of the placebo arm of the KEYNOTE-564. Regression tree analyses was used to generate a risk stratification tool to predict 1-year DFS after surgery.
Results
In the off-trial setting, patients had worse tumor characteristics then in the KEYNOTE-564 placebo arm, i.e. there were more pT4 (5.4 vs. 2.7%, p = 0.046) and pN1 (15 vs. 6.3%, p < 0.001) cases. Median DFS was 29 (95% CI 21–35) months as compared to value not reached in KEYNOTE-564 and 1-year DFS was 64.2% (95% CI 59.6–69.2) as compared to 76.2% (95% CI 72.2–79.7), respectively. Patients with pN1 were at the highest risk of 1-year recurrence (1-year DFS 28.6% [95% CI 20.2–40.3]); patients without LNI, but necrosis were at intermediate risk (1-year DFS 62.5% [95% CI 56.9–68.8]); those without LNI and necrosis were at the lowest risk (1-year DFS 83.8% [95% CI 79.1–88.9]). LVI substratification furtherly improved the accuracy in the prediction of early recurrence.
Conclusions
Patients potentially eligible for adjuvant pembrolizumab have worse characteristics and DFS in the off-trial setting as compared to the placebo arm of the KEYNOTE-564. Patients with either LNI or necrosis were at the highest risk of early-recurrence, which make them the ideal candidate to adjuvant pembrolizumab.
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GF: project development; data collection or management; data analysis; manuscript writing/editing. AL: data collection or management; manuscript writing/editing. GR: data collection or management; manuscript writing/editing. DR: data collection or management; manuscript writing/editing. LM: data collection or management; manuscript writing/editing. AM: data collection or management; manuscript writing/editing. GB: data collection or management; manuscript writing/editing. GC: data collection or management; manuscript writing/editing. DC: data collection or management; manuscript writing/editing. FB: data collection or management; manuscript writing/editing. CR: data collection or management; manuscript writing/editing. GM: data collection or management; manuscript writing/editing. FC: data collection or management; manuscript writing/editing. RB: data collection or management; manuscript writing/editing. AB: data collection or management; manuscript writing/editing. AS: data collection or management; manuscript writing/editing. FM: data collection or management; manuscript writing/editing. AN: data collection or management; manuscript writing/editing. UC: data collection or management; manuscript writing/editing.
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Necchi reports honoraria from Roche, Merck Sharp & Dohme, AstraZeneca, Janssen Pharmaceuticals and Foundation Medicine; has served as a consultant or advisor for Merck Sharp & Dohme, Bristol-Myers Squibb, Rainier Therapeutics, Roche, Bayer, AstraZeneca, Clovis Oncology, Janssen Pharmaceuticals, Incyte, Seattle Genetics, Astellas Pharma and Rainier Therapeutics; has received research funding from Incyte, Merck Sharp & Dohme (institution), and AstraZeneca (institution); and has received travel funding from Roche, Merck Sharp & Dohme, Astra Zeneca, and Janssen Pharmaceuticals outside the submitted work.
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The study has been conducted in accordance with the Declaration of Helsinki. Informed consent was obtained from all individual participants included in the study. The study was approved by the IRCCS San Raffaele Hospital Ethical Committee (protocollo RENE-versione 29/08/2007-Ospedale San Raffaele di Milano).
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Fallara, G., Larcher, A., Rosiello, G. et al. How to optimize the use of adjuvant pembrolizumab in renal cell carcinoma: which patients benefit the most?. World J Urol 40, 2667–2673 (2022). https://doi.org/10.1007/s00345-022-04153-6
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DOI: https://doi.org/10.1007/s00345-022-04153-6