University of Calgary, Calgary, AB, Canada
Steven Yip , Connor Wells , Raphael Brandao Moreira , Alex Wong , Sandy Srinivas , Benoit Beuselinck , Camillo Porta , Hao-Wen Sim , D. Scott Ernst , Brian I. Rini , Takeshi Yuasa , Naveen S. Basappa , Ravindran Kanesvaran , Lori Wood , Christina M. Canil , Anil Kapoor , Simon Yuen Fai Fu , Toni K. Choueiri , Daniel Yick Chin Heng
Background: Immuno-oncology (IO) checkpoint inhibitor treatment outcomes are poorly characterized in the real world metastatic renal cell cancer (mRCC) patient population, including geriatric patients. Methods: Using the IMDC database, a retrospective analysis was performed on mRCC patients treated with IO, as listed below. Patients received one or more lines of IO therapy, with or without a targeted agent. Duration of treatment (DOT) and overall response rates (ORR) were calculated. Cox regression analysis was performed to examine the association between age as a continuous variable and DOT. Results: 312 mRCC patients treated with IO were included. In patients who were evaluable, ORR to IO therapy was 29% (32% first-, 22% second-, 33% third-, and 32% fourth-line treatment (Tx)). Patients treated with second-line IO therapy were divided into favorable, intermediate, and poor risk using IMDC criteria; the corresponding median DOT rates were not reached (NR), 8.6 mo, and 1.9 mo, respectively (p<0.0001). Based upon age, hazard ratios were calculated in the first- through fourth-line therapy setting, ranging from 1.03 to 0.97. Conclusions: The ORR to IO appears to remain consistent, regardless of line of therapy. In the second-line, IMDC criteria appear to appropriately stratify patients into favorable, intermediate, and poor risk groups for DOT. Premature OS data will be updated. In contrast to clinical trial data, longer DOT is observed in real world practice. Age may not be a factor influencing DOT.
1st Line IO | 2nd line IO | 3rd line IO | 4th line IO | |
---|---|---|---|---|
Total N | 63 | 116 | 82 | 51 |
Atezolizumab-Based (Atezo) Tx | ||||
Nivolumab-Based (Nivo) Tx | 17 | 2 | 1 | 1 |
Pembrolizumab- | 40 | 111 | 81 | 49 |
Based (Pembro) Tx | 3 | 2 | 0 | 1 |
Avelumab-Based Tx | 3 | 1 | 0 | 0 |
Non-Clear Cell | 9% | 10% | 9% | 6% |
Brain mets | 3% | 8% | 7% | 3% |
KPS < 80 | 5% | 18% | 20% | 35% |
Age ≥ 70 | 10% | 27% | 21% | 29% |
IMDC Criteria | ||||
Favorable | 26% | 16% | 8% | 3% |
Intermediate | 53% | 68% | 67% | 76% |
Poor | 21% | 15% | 25% | 21% |
Best Response | ||||
CR | 4% | 0% | 0% | 3% |
PR | 30% | 22% | 38% | 28% |
SD | 55% | 39% | 33% | 31% |
PD | 11% | 39% | 29% | 38% |
ORR < 70 YO | 35% (17/49) | 21% (13/61) | 42% (16/38) | 35% (8/23) |
ORR ≥ 70 YO | 25% (1/4) | 25% (4/16) | 14% (1/7) | 22% (2/9) |
DOT (mo) (95%CI) | 11.8 (8.3-27.8) | 9.2 (6.5-13.6) | 8.5 (5.1-12.8) | 7.8 (5.6-NR) |
Disclaimer
This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org
Abstract Disclosures
2024 ASCO Genitourinary Cancers Symposium
First Author: Connor Wells
2024 ASCO Genitourinary Cancers Symposium
First Author: Daniel M. Geynisman
2023 ASCO Genitourinary Cancers Symposium
First Author: Audreylie Lemelin
2023 ASCO Quality Care Symposium
First Author: Joseph Vento