Back to Authors

Bilen, Mehmet Asım

https://orcid.org/0000-0003-4003-1103

Mayo Clinic

Winship Cancer Institute

Citations 27

Impact of SPOP Mutations on Clinical Outcomes in Metastatic Prostate Cancer
Kilari, Deepak , Henderson, Nicholas , Yamamoto, Kyra, Yao, Ye , Hwang, Clara , Barata, Pedro C. , Bilen, Mehmet Asım , Graham, Laura , Garje, Rohan , Rothstein, Shoshana, Haider, Shabi , Pilling, Amanda , Chin, Erica, Koshkin, Vadim S. , Tripathi, Abhishek , Cackowski, Frank C. , Nauseef, Jones T. , Sokolova, Alexandra , Ayanambakkam, Adanma , Schweizer, Michael T. , Armstrong, Andrew J. , Dorff, Tanya B. , Reichert, Zachery R. , McKay, Rana R. , Henderson, Nicholas C , Park, Joseph J , Raychaudhuri, Ruben , Pilling, Amanda , Koshkin, Vadim S , Tripathi, Abhishek , Cackowski, Frank C , Nauseef, Jones T , Sokolova, Alexandra O , Ayanambakkam, Adanma , Zakharia, Yousef , Armstrong, Andrew J , Dorff, Tanya , Reichert, Zachery R , McKay, Rana R , Barata, Pedro , Garje, Rohan , Hwang, Clara , Kilari, Deepak , Chin, Erica

JCO Precision Oncology | December 5, 2025 | Volume: No volume available | Issue: 9 | Pages: No page available

10.1200/po-25-00590 Get It

PURPOSE Previous studies suggest that SPOP mutations result in increased sensitivity to androgen receptor pathway inhibitors (ARPIs) but are limited by lack of granular data. We hypothesize that SPOP mutations are associated with improved outcomes across the spectrum of advanced prostate cancer (PC). METHODS Using the real-world clinicogenomic Prostate Cancer Precision Medicine Multi-Institutional Collaborative Effort database, we analyzed outcomes based on SPOP mutation status. The primary end point was overall survival (OS) from the diagnosis of metastatic disease. Secondary end points included real-world progression-free survival (PFS) and PSA90 response. RESULTS Among 2,097 patients with metastatic PC, 5.5% (N = 115) had SPOP -mutated tumors. Compared with SPOP wild-type, patients with SPOP mutations were older at diagnosis (median 65 v 63 years; P = .001) and had higher (≥8) Gleason sum (68% v 54%; P = .02), higher incidence of lung metastasis (17% v 6%; P = .001), and increased frequency of intraductal features (13% v 5%; P < .001). SPOP mutations were associated with improved PSA90 response with first ARPI exposure in the castrate-resistant setting (60% v 40.6%; OR, 2.20 [95% CI, 1.15 to 4.19]; P = .02) but not in the castrate-sensitive setting (78.9% v 71.5%; OR, 1.49 [95% CI, 0.66 to 3.37]; P = .43). Median PFS with first ARPI did not differ in SPOP- mutated versus wild-type group in both the castrate-sensitive (24.2 v 19.2 months; hazard ratio [HR], 0.80 [95% CI, 0.49 to 1.32]; P = .39) and castrate-resistant settings (15.0 v 12.4 months; HR, 0.81 [95% CI, 0.58 to 1.12]; P = .20). In multivariable analysis, SPOP mutations were associated with improved OS (HR, 0.65, P = .02). CONCLUSION SPOP mutations were associated with longer OS despite the presence of aggressive clinical features. The distinct clinical and molecular features of SPOP -mutated PC support its consideration as a unique molecular subtype with prognostic implications.
Phase I study of palbociclib with cisplatin or carboplatin in the management of patients with advanced pancreatic cancer
Alese, Olatunji B. , Wu, Christina, Hitron, Elise, Collins, Hannah, Scott, Suzanne, Steuer, Conor , Bilen, Mehmet Asım , Carthon, Bradley Curtis , Alese, Olatunji B , Harvey, R. Donald , Scott, Suzanne, Switchenko, Jeffrey M. , Ramalingam, Suresh S. , Owonikoko, Taofeek Kunle

The Oncologist | September 19, 2025 | Volume: 30 | Issue: 10 | Pages: No page available

10.1093/oncolo/oyaf284 Get It

Abstract Importance The addition of agents targeting critical signal mediators of cancer cell proliferation such as cyclin-dependent kinases (CDK) potentiates the efficacy of platinum chemotherapy. Objective To determine the safety and efficacy of palbociclib combined with cisplatin (cis) or carboplatin (carbo) in advanced solid malignancies Design Enrollment on dose escalation (part I) proceeded using the Bayesian adaptive design Escalation with Overdose Control (EWOC). Setting Single institution investigator initiated trial. Participants Patients with any advanced cancer after at least one prior therapy were enrolled on dose escalation to determine recommended phase II doses (RP2D). Expansion cohorts were then opened for pancreaticobiliary tract cancers. Intervention Escalating doses of palbociclib in combination with different doses of cisplatin or carboplatin. Main Outcomes and Measures Primary endpoint was objective response rate (ORR). Secondary endpoints included safety, overall survival (OS), and progression-free survival (PFS). Results We enrolled 39 patients on dose escalation (part I) and 32 additional patients on dose expansion (part II). RP2D of palbociclib 100 mg on Day 2-22 + Cisplatin (cis) 60 mg/m2 IV on Day 1 Q4W (Arm A); and palbociclib 75 mg on Day 2-22 + Carboplatin (carbo) AUC 6 IV on Day 1 Q4W (Arm B). ORR for Part I were 12.5% (Arm A) and 25% (Arm B). Median PFS and OS for dose expansion were 2.1 and 4.9 months, respectively. For PDAC, mPFS was 1.9 months (95% CI: 1.7, 2.4), and OS was 3.7 months (95% CI: 2.7, 5.7). Most common treatment-related adverse events (TRAEs—all grade %): Arm A—neutropenia (66%), thrombocytopenia (26%), nausea, fatigue, and anemia (20% each); Arm B—neutropenia (64.7%), thrombocytopenia (53%), and anemia (29%). There were no grade 4-5 TRAEs. Conclusions and Relevance The combination of palbociclib with cisplatin or carboplatin had an acceptable safety profile and clinical responses in some treatment refractory advanced cancers. There was no objective response, but about half of PDAC patients had disease stabilization. Additional efforts are needed to exploit CDK abnormalities in these patients. Clinical trial registration number: NCT02897375
Real-world analysis of 2IR immune response score in histologic subtype urothelial carcinoma (hsUC).
Bilen, Mehmet Asım , Stewart, Tyler F. , McKay, Rana R. , Heath, Elisabeth I. , Geynisman, Daniel M., Smith, Norm, Brown, Jason R. , Adeyelu, Tolulope Tosin , Elliott, Andrew , Basu, Arnab , Li, Roger , Geynisman, Daniel M. , Barata, Pedro C.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 4568-4568

10.1200/jco.2025.43.16_suppl.4568 Get It

4568 Background: The 2IR immune response score was initially developed using bulk RNA sequencing of pre-treatment tissue from ImVigor 210 and CheckMate 275 trials, however these trials enrolled patients (pts) with pure urothelial carcinoma (pUC) histology. Patients with hsUC often exhibit worse response to immune checkpoint inibitors (ICI) than patients with pUC. Here, we evaluated the 2IR score as a prognostic or predictive biomarker in real-world pts with hsUC. Methods: Specimens from pts with pUC (n = 1677) and hsUC (n = 417) were profiled at Caris Life Sciences (Phoenix, AZ) using next generation sequencing (NGS) of DNA and RNA. HsUC histologies included majority ( > 50%) squamous (n = 340), sarcomatoid (n = 51), neuroendocrine (n = 20), and micropapillary (n = 6) component. 2IR was calculated by comparative RNA expression of 10 adaptive immune genes and 39 pro-tumorigenic genes. Tumors were classified as 2IR-Low (2IR ≤ -0.5), -Mid (-0.5 < 2IR < 0), and -High (2IR ≥ 0), as previously described (Wang et al., 2022). Spearman correlation analysis was utilized to compare 2IR with tumor mutation burden (TMB), interferon score (IFN) and the tumor microenvironment (TME) cell fractions estimated using quanTIseq. Clinical outcomes included real-world overall survival (rwOS) from ICI start to last contact and time on treatment (ToT) with pembrolizumab, obtained via matched insurance claims data and calculated using Kaplan-Meier methods, while Hazard ratio (HR) was calculated by Cox proportional model. Results: For patients with hsUC, distribution of 2IR score was High 5.76%, Mid 33.3%, and Low 60.9%. Median 2IR score was significantly lower in squamous (-0.60, p < 0.0001) and sarcomatoid UC (-0.82, p < 0.0001) compared to pUC (-0.41) and significantly higher in neuroendocrine UC (-0.15, p = 0.003). Among patients with hsUC, median rwOS was significantly longer for patients with high/mid 2IR score compared to low 2IR score (25.3 [10.9-39.3] months vs. 8.7 [6.2-11.3] months; HR 0.52, 95% CI 0.34 – 0.78, p = 0.0017). ToT with pembrolizumab was also significantly longer for high/mid 2IR score compared to low 2IR score (3.0 [1.4-5.5] months vs. 2.1 [1.4-3.3] months; HR 0.68, 95% CI 0.46-1.00, p = 0.0471). Similar to pUC, 2IR score in patients with squamous UC was positively associated with CD8 T cell infiltration (r = 0.39; p < 0.0001), IFN score (r = 0.41, p < 0.0001), and TMB (r = 0.20, p < 0.001) and negatively associated with M1 macrophage infiltration (r = -0.25, p < 0.0001). 2IR scores in hsUC correlated positively but not significantly with mutations in TP53 (Median: -0.59 vs -0.62, p = 0.067) and PIK3CA (Median: -0.56 vs -0.61, p = 0.172) and negatively with mutations in CDKN2A (Median: -0.67 vs -0.59, p = 0.052). Conclusions: In a real-world cohort of patients with hsUC, we show the 2IR score may be prognostic for rwOS and predictive for pembrolizumab ToT. Prospective studies are needed to further validate this biomarker for use in this population.
Efficacy of subsequent treatment after combination therapy in non-clear cell renal cell carcinoma (nccRCC).
Amaral, Paulo Siqueira , Tripathi, Abhishek , King, Jennifer , Maughan, Benjamin L. , Desai, Arpita, Reimers, Melissa A. , Ged, Yasser , Heath, Elisabeth I. , Bilen, Mehmet Asım , McKay, Rana R. , Kilari, Deepak , Szabó, Anikó , Hwang, Clara , Ghatalia, Pooja , McManus, Hannah D. , Emamekhoo, Hamid , King, Jennifer, Zakharia, Yousef , Barata, Pedro C. , Brugarolas, James , Rini, Brian I.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 4545-4545

10.1200/jco.2025.43.16_suppl.4545 Get It

4545 Background: The treatment landscape of front-line nccRCC has evolved with recent trials demonstrating the efficacy of combination systemic therapy. However, the efficacy of treatment after combination therapy is unknown. This study evaluates the efficacy of VEGF-based regimens in nccRCC patients (pts) previously treated with combination regimens. Methods: ORACLE is a real-world, multi-center, retrospective database that includes nccRCC patients that received combination systemic therapies (IO+IO, IO+VEGF and VEGF+ mTOR) in any line. Subsequent treatments were categorized as VEGF only regimens (cabozantinib vs other VEGF), IO+ VEGF and VEGF+ mTOR. The primary endpoint was objective response rate (ORR) assessed by investigator review using RECIST 1.1. Secondary endpoints included disease control rate (DCR), defined as the proportion of patients achieving complete or partial responses or stable disease, time to treatment progression (TTP), calculated from the date of VEGF-based initiation to progression or last follow-up using the Kaplan-Meier method. Differences between groups were estimated with the log-rank test, and categorical outcomes were compared with the chi-square test. Results: 105 pts who received VEGF – based regimens after combination therapy were included in the analysis. Baseline characteristics: median age: 59years, 71 % male, 58% white, 25% black, 87% ECOG 0-2. IMDC-risk categories included:21% favorable, 59% intermediate and 20% poor risk. Histology included papillary (40%), unclassified (32%), chromophobe (16%) and other rare subtypes (12%). Prior combination therapies included IO+IO: 62%, IO+ VEGF: 34% and VEGF+ mTORi:4%. 70% pts received combination therapy in the first line setting while the remainder received combination therapy in a second or later line. Outcomes with subsequent treatments are described in Table1. IMDC risk score correlated with TTP. Conclusions: Modest antitumor activity was observed with VEGF- based approaches in combination therapy refractory nccRCC. Optimal management of nccRCC remains an unmet need. Outcomes of nccRCC patients by treatment and histologic type. Outcomes per Treatment n ORR (%) DCR (%) mTTP (mo.) Cabozantinib 56 18 47 3.6 VEGF/mTOR 19 16 42 9.3 IO+VEGF 17 29 47 5.6 Other VEGF 13 15 46 5.5 Outcomes per Histology Papillary 42 19 43 6.5 Unclassified 33 21 42 6.1 Chromophobe 17 29 59 8.9 Other * 13 0 46 NR
AMBASSADOR Alliance A031501: Phase III randomized adjuvant study of pembrolizumab in muscle-invasive and locally advanced urothelial carcinoma (MIUC) vs observation.
Sonpavde, Guru , Kim, William Y. , Grivas, Petros , Chatta, Gurkamal , Reichert, Zachery R. , Bilen, Mehmet Asım , Srinivas, Sandy, Halabi, Susan , Burbano, Gabriela Perez , Halabi, Susan , Apolo, Andrea B , Ballman, Karla V. , Berg, Stephanie , Parikh, Rahul A , Teo, Min Yuen , Sweis, Randy F. , Geynisman, Daniel M. , Kim, Joseph W. , McGregor, Bradley A. , Morris, Michael J. , Rosenberg, Jonathan E

Journal of Clinical Oncology | January 29, 2024 | Volume: 42 | Issue: 4_suppl | Pages: LBA531-LBA531

10.1200/jco.2024.42.4_suppl.lba531 Get It

LBA531 Background: Muscle-invasive urothelial carcinoma (MIUC) is an aggressive disease with high relapse rates. Neoadjuvant platinum-based chemotherapy (NAC) is the standard of care in patients (pts) who are cisplatin (Cis)-eligible. However, many pts are Cis-ineligible or have persistent muscle-invasive disease after NAC and surgery. We evaluated pembrolizumab (Pembro) as adjuvant therapy in pts with high-risk MIUC following surgical resection. Methods: The AMBASSADOR study is an open-label, randomized, phase III trial that enrolled pts with histologically confirmed MIUC of the bladder, upper tract, or urethra who (1) had ≥ pT2 and/or pN+ or margins+ at surgery (radical cystectomy, nephrectomy, nephroureterectomy, or ureterectomy) following NAC or (2) ≥ pT3 and/or pN+ or margins+ at surgery without NAC and were either Cis-ineligible or declined adjuvant Cis-based therapy. Pts were registered ≥4 to 16 weeks after surgery and randomized 1:1 to receive Pembro 200 mg every 3 weeks for 1 year or observation (Obs). Randomization was stratified by pathologic stage, centrally tested PD-L1 status, and prior NAC. The dual primary endpoints were disease-free survival (DFS) and overall survival (OS) with a target sample size of 739 pts and required 387 DFS and 320 OS events for final analysis. Secondary objectives included evaluation of DFS and OS in PD-L1-positive and -negative pts and assessing safety. Here we present the interim DFS and OS results. Results: Between 09/2017 and 08/2021 a total of 702 pts were randomized prior to early closure due to US FDA approval of nivolumab for MIUC pts: 354 pts to Pembro and 348 pts to Obs; 13.0% vs 21.6% withdrew from study without event in the Pembro vs Obs arms, respectively. 74 pts (21%) in the Obs arm received an immune checkpoint inhibitor. Median follow-up was 22.3 months (mos) for DFS and 36.9 mos for OS. The DFS endpoint (based on 319 events needed for interim analysis) crossed the efficacy boundary. Median DFS was 29.0 months (95% confidence interval (CI) 21.8‒not evaluable (NE)) with Pembro and 14.0 months (95% CI 9.7‒20.20) with Obs (hazard ratio (HR) 0.69 [95% CI 0.55–0.87]; p=0.0013). At the interim analysis (n = 257 events), median OS was 50.9 months (95% CI 43.9‒NE) with Pembro and 55.8 months (95% CI 53.3‒NE) with Obs (HR 0.98 [95% CI 0.76–1.26]; p=0.88). Grade 3+ adverse events occurred in 48.4% and 31.8% of pts in the Pembro and Obs arms, respectively. Conclusions: Adjuvant Pembro demonstrated a statistically significant and clinically meaningful improvement in DFS vs Obs for high-risk MIUC pts after radical surgery. The OS endpoint may have been impacted by pts on the Obs arm receiving a checkpoint inhibitor. Pembro was tolerable with no new safety signals. These results support adjuvant Pembro as a new therapeutic option for pts with MIUC with high risk for recurrence. Additional follow-up is ongoing for the final DFS/OS, PD-L1 subgroups, and ctDNA analyses. Clinical trial information: NCT03244384 .
Author response: Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Vinayak, Shaveta , Sun, Tianyi , Kuderer, Nicole M. , Balmaceda, Nicole , Bilen, Mehmet Asım , Bindal, Poorva , Blau, Sibel , Bodin, Brianne E, Borno, Hala T. , Choi, Horyun, Deeken, John F. , Edwin, Natasha, Feldman, Lawrence , Flora, Daniel , Galsky, Matthew D. , Gonzalez, Cyndi J, Grivas, Petros , Gupta, Shilpa , Haynam, Marcy , Heilman, Hannah, Jhawar, Sachin R, Kaklamani, Virginia , Klein, Elizabeth J. , Koshkin, Vadim S. , Kulkarni, Amit , Kwon, Daniel H. , Lammers, Philip E. , Lathrop, Kate, Lewis, Mark A. , Lopes, Gilbert de Lima, Makower, Della , Mansoor, Abdul-Hai, Mashru, Sandeep H., McKay, Rana R. , Messing, Ian , Mico, Vasil, Nadkarni, Rajani, Namburi, Swathi, Nguyen, Ryan H, Nonato, Taylor K., Park, Kyu, Patel, Jaymin , Patel, Kanishka G. , Peppercorn, Jeffrey , Polimera, Hyma , Puc, Matthew , Reid, Sonya , Riess, Jonathan W. , Rivera, Donna R. , Russ, Atlantis Dawn, Schapira, Lidia , Shanahan, M Kelly, Smits, Melissa, Streckfuss, Mitrianna, Thompson, Michael A, Tolaney, Sara M. , Weissmann, Lisa B., Wilson, Grace, Wulff‐Burchfield, Elizabeth , French, Benjamin , Accordino, Melissa , Nagaraj, Gayathri , Khaki, Ali Raza , Aboulafia, David M. , Acoba, Jared David , Awosika, Joy A. , Bakouny, Ziad , Bao, Ting , Bashir, Babar , Berg, Stephanie , Castellano, Cecilia A. , Desai, Aakash , Friese, Christopher R. , Hershman, Dawn L. , Hwang, Clara , Jani, Chinmay , Jhawar, Sachin R, Joshi, Monika , Knox, Natalie, Labaki, Chris , Li, Xuanyi , Lyman, Gary H , Markham, Merry Jennifer , Nguyen, Ryan H, O’Connor, Tracey L. , Panagiotou, Orestis A. , Rao, Yuan James , Razavi, Pedram , Robson, Mark E. , Rose, Suzanne J. , Shah, Pankil , Shapiro, Lauren C. , Stover, Daniel G. , Tachiki, Lisa , Thompson, Michael A, Wotman, Michael T. , Mishra, Sanjay , Warner, Jeremy L. , Lustberg, Maryam B. , Shah, Dimpy P.

No container title available | November 10, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.7554/elife.82618.sa2 Get It

Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Nagaraj, Gayathri , Vinayak, Shaveta , Sun, Tianyi , Kuderer, Nicole M. , Bakouny, Ziad , Balmaceda, Nicole , Bilen, Mehmet Asım , Bindal, Poorva , Blau, Sibel , Bodin, Brianne E, Borno, Hala T. , Castellano, Cecilia A. , Choi, Horyun, Deeken, John F. , Desai, Aakash , Edwin, Natasha, Feldman, Lawrence , Flora, Daniel , Galsky, Matthew D. , Gonzalez, Cyndi J, Grivas, Petros , Gupta, Shilpa , Haynam, Marcy , Heilman, Hannah, Jani, Chinmay , Jhawar, Sachin R, Kaklamani, Virginia , Klein, Elizabeth J. , Koshkin, Vadim S. , Kulkarni, Amit , Kwon, Daniel H. , Lammers, Philip E. , Lathrop, Kate, Lewis, Mark A. , Li, Xuanyi , Lopes, Gilbert de Lima, Makower, Della , Mansoor, Abdul-Hai, Mashru, Sandeep H., McKay, Rana R. , Messing, Ian , Mico, Vasil, Nadkarni, Rajani, Namburi, Swathi, Nguyen, Ryan H, Nonato, Taylor K., O’Connor, Tracey L. , Park, Kyu, Patel, Jaymin , Patel, Kanishka G. , Peppercorn, Jeffrey , Polimera, Hyma , Puc, Matthew , Rao, Yuan James , Reid, Sonya , Riess, Jonathan W. , Rivera, Donna R. , Rose, Suzanne J. , Russ, Atlantis Dawn, Schapira, Lidia , Shah, Pankil , Shanahan, M Kelly, Smits, Melissa, Streckfuss, Mitrianna, Thompson, Michael A, Tolaney, Sara M. , Weissmann, Lisa B., Wilson, Grace, Wulff‐Burchfield, Elizabeth , French, Benjamin , Lustberg, Maryam B. , Accordino, Melissa , Sun, Tianyi , Hwang, Clara , Puc, Matthew M , Mishra, Sanjay , Accordino, Melissa K , Desai, Aakash P , Bakouny, Ziad , Bilen, Mehmet A , Lustberg, Maryam , Khaki, Ali Raza , Aboulafia, David M. , Acoba, Jared David , Awosika, Joy A. , Bao, Ting , Bashir, Babar , Berg, Stephanie , Friese, Christopher R. , Hershman, Dawn L. , Hwang, Clara , Jhawar, Sachin R, Joshi, Monika , Knox, Natalie, Labaki, Chris , Lyman, Gary H , Markham, Merry Jennifer , Nguyen, Ryan H, Panagiotou, Orestis A. , Razavi, Pedram , Robson, Mark E. , Shapiro, Lauren C. , Stover, Daniel G. , Tachiki, Lisa , Wotman, Michael T. , Mishra, Sanjay , Warner, Jeremy L. , Shah, Dimpy P.

eLife | October 17, 2023 | Volume: 12 | Issue: No issue available | Pages: No page available

10.7554/elife.82618 Get It

Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. Results: 1383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32–1.67]); Black patients (aOR 1.74; 95 CI 1.24–2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70–6.79) and Other (aOR 2.97; 95 CI 1.71–5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83–12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63–3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20–2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66–3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89–22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status. Conclusions: Using one of the largest registries on cancer and COVID-19, we identified patient and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to non-Hispanic White patients. Funding: This study was partly supported by National Cancer Institute grant number P30 CA068485 to Tianyi Sun, Sanjay Mishra, Benjamin French, Jeremy L Warner; P30-CA046592 to Christopher R Friese; P30 CA023100 for Rana R McKay; P30-CA054174 for Pankil K Shah and Dimpy P Shah; KL2 TR002646 for Pankil Shah and the American Cancer Society and Hope Foundation for Cancer Research (MRSG-16-152-01-CCE) and P30-CA054174 for Dimpy P Shah. REDCap is developed and supported by Vanderbilt Institute for Clinical and Translational Research grant support (UL1 TR000445 from NCATS/NIH). The funding sources had no role in the writing of the manuscript or the decision to submit it for publication. Clinical trial number: CCC19 registry is registered on ClinicalTrials.gov, NCT04354701 .
2018 Leibovich prognostic model for renal cell carcinoma: Performance in a large population with special consideration of Black race
Schmeusser, Benjamin N. , Patil, Dattatraya , Nicaise, Edouard , Armas‐Phan, Manuel , Nabavizadeh, Reza , Narayan, Vikram M. , Joshi, Shreyas , Ogan, Kenneth , Osunkoya, Adeboye O. , Bilen, Mehmet Asım , Master, Viraj A. , Patil, Dattatraya H , Nicaise, Edouard H , Joshi, Shreyas S , Bilen, Mehmet A , Narayan, Vikram M

Cancer | October 7, 2023 | Volume: 130 | Issue: 3 | Pages: 453-466

10.1002/cncr.35037 Get It

AbstractBackgroundThe 2018 Leibovich prognostic model for nonmetastatic renal cell carcinoma (RCC) combines clinical, surgical, and pathologic factors to predict progression‐free survival (PFS) and cancer‐specific survival (CSS) for patients with clear cell (ccRCC), papillary (pRCC), and chromophobe (chRCC) histology. Despite high accuracy, <1% of the original cohort was Black. Here, the authors examined this model in a large population with greater Black patient representation.MethodsBy using a prospectively maintained RCC institutional database, patients were assigned Leibovich model risk scores. Survival outcomes included 5‐year and 10‐year PFS and CSS. Prognostic accuracy was determined using area under the curve (AUC) analysis and calibration plots. Black patient subanalyses were conducted.ResultsIn total, 657 (29%) of 2295 patients analyzed identified as Black. Declines in PFS and CSS were observed as scores increased. Discrimination for ccRCC was strong for PFS (AUC: 5‐year PFS, 0.81; 10‐year PFS, 0.78) and for CSS (AUC: 5‐year CSS, 0.82; 10‐year CSS, 0.74). The pRCC AUC for PFS was 0.74 at 5 years and 0.71 at 10 years; and the AUC for CSS was 0.74 at 5 years and 0.70 at 10 years. In chRCC, better performance was observed for CSS (AUC at 5 years, 0.75) than for PFS (AUC: 0.66 at 5 years; 0.55 at 10 years). Black patient subanalysis revealed similar‐to‐improved performance for ccRCC at 5 years (AUC: PFS, 0.79; CSS, 0.87). For pRCC, performance was lower for PFS (AUC at 5 years, 0.63) and was similar for CSS (AUC at 5 years, 0.77). Sample size limited Black patient 10‐year and chRCC analyses.ConclusionsThe authors externally validated the 2018 Leibovich RCC prognostic model and found optimal performance for ccRCC, followed by pRCC, and then chRCC. Importantly, the results were consistent in this large representation of Black patients.Plain Language Summary In 2018, a model to predict survival in patients with renal cell carcinoma (kidney cancer) was introduced by Leibovich et al. This model has performed well; however, Black patients have been under‐represented in examination of its performance. In this study, 657 Black patients (29%) were included, and the results were consistent. This work is important for making sure the model can be applied to all patient populations.
Systemic Anticancer Therapy and Thromboembolic Outcomes in Hospitalized Patients With Cancer and COVID-19
Hsu, Chih–Yuan , Shah, Surbhi, Zon, Rebecca L. , Alsamarai, Susan, El-Bakouny, Ziad, Beeghly, Alicia, Doroshow, Deborah B. , Flora, Daniel , Fromowitz, Ariel, Jani, Chinmay , Khan, Hina, Klein, Elizabeth J. , Heater, Natalie Knox , Koshkin, Vadim S. , Kwon, Daniel H. , McKay, Rana R. , Nonato, Taylor K., Polimera, Hyma , Puc, Matthew , Shastri, Aditi , Singh, Sunny , Weissmann, Lisa B., Wilkins, Cy R. , Yoon, James J., Mishra, Sanjay , Grivas, Petros , Connors, Jean M. , Gandhi, Rikin, Gartrell, Benjamin A. , Makower, Della , Sullivan, Darciann O', Ohri, Nitin , Verma, Amit , Butt, Omar H. , Fiala, Mark A. , Monahan, Ryan, Bitran, Jacob D. , Hallmeyer, Sigrun , Mundt, Daniel , Pandravada, Sasirekha, Papaioannou, Philip V., Patel, Mauli, Streckfuss, Mitrianna, Tadesse, Eyob, Lammers, Philip E. , Bindal, Poorva , Lam, Barbara C.C., Piper‐Vallillo, Andrew J., Arvanitis, Panos , Vieira, Kendra, Angevine, Anne H., Bär, Michael, Prete, Salvatore A. Del , Fiebach, Maryann Z., Gulati, Anthony P., Hatton, Edward H., Houston, Kaly, Lo, K. M. Steve, Stratton, Jamie , Weinstein, Paul L., García, Jorge A. , Routy, Bertrand , Hoyo-Ulloa, Irma , Gupta, Shilpa , Sharifi, Nima , Hoppenot, Claire , Demetri, George D., Zarif, Talal El , Freeman, Dory , Nohria, Anju, Tolaney, Sara M. , Zhang, Tian , Dzimitrowicz, Hannah, Leighton, John, Lynch, Ryan C. , Portuguese, Andrew J. , Schweizer, Michael T. , Vinayak, Shaveta , Wagner, Michael J. , Dansoa, Yvonne , Manikowski, Jesse J. , Vadakara, Joseph , Yossef, Kristena, Beckerman, Jennifer, Goyal, Sharad , Messing, Ian , Provenzano, Destie , Steffes, Dawn R., Clément, Jessica , Cosin, Jonathan A. , Daher, Ahmad , Dailey, Mark E., Hosmer, Wylie, Hsu, Emily , Jayaraj, Asha, Mather, Jeff, Menendez, Alvaro G. , Nadkarni, Rajani, Serrano, Oscar K. , Tejwani, Sheela , Accordino, Melissa , Bodin, Brianne E, Khan, Shaheer , Masson, Cynthia, Alexander, Mariam , Matar, Sara , Bernicker, Eric , Deeken, John F. , Jeffords, Kelly J., Shafer, Danielle , Cárdenas‐Delgado, Ana I., Campos, Rogelio Cuervo, Ramirez, Ana, Valdez-Reyes, Nadia Melissa, Gill, David , Lewis, Mark A. , Low, Clarke A., Rhodes, Terence D., Jones, Michelle, Mansoor, Abdul-Hai, Mashru, Sandeep H., Werner, Mica A., Cohen, Aaron , Hayes‐Lattin, Brandon , Nemecek, Eneida R. , Williamson, Staci, Lewis, Grant C., Smith, Stephanie J., Akhtari, Mojtaba, Castillo, Dan R., Cortez, Kimberly, Park, Kyu, Reeves, Mark E. , O’Connor, Timothy E. , Altman, Jessica K. , Gurley, Michael, Mulcahy, Mary F. , Kulkarni, Amit , Ramesh, Vidhyalakshmi , Wilson, Grace L. , Bardia, Aditya , Gainor, Justin F. , Peppercorn, Jeffrey , Reynolds, Kerry L. , Zubiri, Leyre , Campian, Jian , Riaz, Irbaz B, Williams, Colt , Bonnen, Mark , Mahadevan, Daruka , Salazar, Mary, Wang, Chen‐Pin , Bouganim, Nathaniel , Elkrief, Arielle , Moria, Feras, Panasci, Justin , Nanchal, Rahul , Bahadur, Nadia , Nambiar, Puja H. , Papadopoulos, Esperanza B. , Riely, Gregory J. , Rosenberg, Jonathan E., Cerrone, Kim, Dill, Jennifer A. , Faller, Bryan A. , Ajmera, Archana , Brouha, Sharon S. , Choi, Sharon , Bhatt, Padmanabh , Mariano, Melissa G., Thomson, Carey C. , Glace, Mary Grace, Knoble, Jeanna, Zacks, Rosemary, Blau, Sibel , Brown, CarrieAnn, Namburi, Swathi, Pomerantz, Lauren , Rovito, Marc A., Advani, Pragati E., Cronin, Tara, Fleissner, Bridget, Goel, Shipra , Gopalakrishnan, Dharmesh , Hernandez‐Ilizaliturri, Francisco J. , Kariapper, Ariffa, Levine, Ellis , Wicher, Camille P., Misdary, Christian, Shah, Mansi , Batist, Gerald , Cook, Erin , Esfahani, Khashayar , Ferrario, Cristiano , Lau, Susie , Ma, Kim, Rudski, Lawrence , Dutra, Míriam Santos , Mahmood, Sana , Mico, Vasil, Rivera, Andrea Verghese, Dixon, Becky, Heilman, Hannah, Logan, Barbara, Mandapakala, Chaitanya, Cabebe, Elwyn C., Glover, Michael , Jha, Alokkumar , Schapira, Lidia , Shah, Sumit , Subbiah, Suki , Lopes, Gilberto , Cardenas, Karen de, Russell, Karen , Stith, Brittany, Taylor, Sharona, Klamerus, Justin F., Revankar, Sanjay G. , Addison, Daniel , Chen, James L. , Pillainayagam, Clement, Wall, Sarah , Williams, Nicole , Abbasi, Saqib Hussen, Annis, Sandy, Greenland, Steven, Jones, Regina, Kasi, Anup , Rock, Crosby D. , Wulff‐Burchfield, Elizabeth , Smits, Melissa, Weiß, Matthias , Chism, David D. , Owenby, Susie, Ang, Celina , Galsky, Matthew D. , Metzger, Megan , Uyehara, Catherine, Lashley, Latoya N., Sueyoshi, Mark, Patel, Kanishka G. , Riess, Jonathan W. , Borno, Hala T. , Rubinstein, Samuel M. , Ahmad, Syed A. , Grover, Punita , Jandarov, Roman , Kharofa, Jordan , Marcum, Michelle, Sohal, Davendra , Zamulko, Olga , Balmaceda, Nicole , Geiger, Christopher L., Russ, Atlantis Dawn, Saker, Haneen , Choi, Horyun, Feldman, Lawrence , Gantt, Gerald, Hoskins, Kent , Khan, Mahir, Liu, Li , Nguyen, Ryan H., Schwartz, Candice, Venepalli, Neeta K. , Boldt, Anne, Fecher, Leslie A. , Su, Chris, Bijjula, Ragneel R., Mavromatis, Blanche H., Seletyn, Mildred E., Wood, Barbara R., Kaklamani, Virginia , Charles, Lawrence J., Cheng, Alex , Ding, Tan , Enriquez, Kyle T. , French, Benjamin , Gillaspie, Erin A. , Hennessy, Cassandra , Johnson, Douglas B. , Lewis, Judy T., Reid, Sonya , Saif, Sara, Slosky, David, Solórzano, Carmen C. , Sun, Tianyi , Yang, Yuanchu James , Carducci, Theresa M., Goldsmith, Karen J., Loon, Susan Van, Topaloĝlu, Ümit , Moore, Joan K., Cabalona, Wilhelmina D., Shisler, Elizabeth, McCollough, Briana Barrow, Peddi, Prakash , Rosen, L, Bilen, Mehmet Asım , Castellano, Cecilia A. , Ravindranathan, Deepak , LoRusso, Patricia , Lustberg, Maryam B. , Masters, Tyler, Mishra, Sanjay , Zubiri, Leyre , Fiala, Mark A , Bilen, Mehmet A , Portuguese, Andrew J , Lustberg, Maryam , Gulati, Shuchi , Shah, Pankil , Awosika, Joy A. , Bashir, Babar , Berg, Stephanie , De‐la‐Rosa‐Martinez, Daniel , Egan, Pamela , Fein, Joshua Alexander , Friese, Christopher R. , Griffiths, Elizabeth A. , Hwang, Clara , Joshi, Monika , Labaki, Chris , Latif, Tahir , Nagaraj, Gayathri , Nakasone, Elizabeth S. , Razavi, Pedram , Ruíz‐García, Erika , Saliby, Renée Maria , Tagalakis, Vicky , Vilar‐Compte, Diana , Wise-Draper, Trisha Michel , Wotman, Michael T. , Shyr, Yu , Warner, Jeremy L. , Shah, Dimpy P. , Rosovsky, Rachel , Goel, Sanjay , Halmos, Balázs , Sica, Roberto Alejandro , Henderson, Jeffrey P. , Stockerl‐Goldstein, Keith , Zhou, Alice Y. , Tadesse, Eyob, Thompson, Michael A. , Loree, Jonathan M. , Lam, Barbara, Peters, Mary Linton B , Farmakiotis, Dimitrios , Olszewski, Adam J. , Hatton, Edward, Rose, Suzanne J. , Nizam, Amanda , Pennell, Nathan A , Li, Ang , Bitterman, Danielle S. , Choueiri, Toni K. , Florez, Narjust , Giordano, Antonio , Morgans, Alicia K. , Nohria, Anju , Van Allen, Eliezer M , Xu, Wenxin Vincent , Halabi, Susan , Graber, Jerome J. , Hawley, Jessica E. , Loggers, Elizabeth T , Lyman, Gary H , Su, Christopher , Tachiki, Lisa , Yeh, Albert C. , Gatson, Na Tosha , Makary, Mina S. , Rao, Yuan James , Rosenstein, Lori J. , Elias, Rawad , Eton, Omar , Yu, Peter Paul , Gadgeel, Shirish M. , Bhutani, Divaya , Hershman, Dawn L. , Ingham, Matthew , Schwartz, Gary K. , Reuben, Daniel Y. , McWeeney, Shannon K. , Wehbe, Firas , Durbin, Eric B. , Nelson, Heather H. , Sachs, Zohar , Wilson, Grace, Boland, Genevieve M. , Smith, Katherine E. , Bekaii‐Saab, Tanios , Desai, Aakash , Hálfdánarson, Þorvarður R. , Joyner, Michael J. , Senefeld, Jonathon W. , Ramirez, Amelie G , Mesa, Ruben A. , Papenburg, Jesse , Vinh, Donald Cuong , Singh, Harpreet , Bao, Ting , O'Cearbhaill, Roisin E , Philip, John, Robson, Mark E. , Rosenberg, Jonathan E., Schoenfeld, Adam Jacob , Tamimi, Rulla M. , Dill, Jennifer, Hsiao, Albert , Reid, Erin G , Rink, Cameron L. , Jain, Prantesh , Moffitt, Melissa , O’Connor, Tracey L. , Puzanov, Igor , Smith, Laurie J., Zsíros, Emese , Jabbour, Salma K , Cook, Erin, Miller, Wilson H. , Wilchesky, Machelle , McNair, Christopher M. , Khaki, Ali Raza , Nagpal, Seema , Wu, Julie , Whaley, David, Gatti-Mays, Margaret Elena , Jhawar, Sachin R. , Palmer, Joshua D. , Stover, Daniel G. , Weiss, Matthias, Berenberg, Jeffrey L. , Fazio, Alyson, Huber, Kathryn E. , Small, Eric J. , Zhang, Sylvia , Andermann, Tessa M. , Jensen, Christopher Edward , Wood, William A. , Li, Ningjing , Abidi, Maheen Z. , Bowles, Daniel W. , Markham, Merry Jennifer , Acoba, Jared David , Rho, Young Soo, Nguyen, Ryan H., Pasquinelli, Mary M. , Vikas, Praveen , Zakharia, Yousef , Zaman, Qamar U., Brown, Alaina J. , Crispens, Marta Ann , Croessmann, Sarah , Davis, Elizabeth J. , Ding, Tan, Duda, Stephany N. , Hausrath, Daniel J. , Li, Xuanyi , Prescott, Lauren Shore , Wang, Lucy Lu , Aboulafia, David M. , Hafez, Navid , Herbst, Roy S. , Stratton, Catherine , Painter, Corrie , Peters, Solange

JAMA Oncology | August 17, 2023 | Volume: 9 | Issue: 10 | Pages: 1390

10.1001/jamaoncol.2023.2934 Get It

ImportanceSystematic data on the association between anticancer therapies and thromboembolic events (TEEs) in patients with COVID-19 are lacking.ObjectiveTo assess the association between anticancer therapy exposure within 3 months prior to COVID-19 and TEEs following COVID-19 diagnosis in patients with cancer.Design, Setting, and ParticipantsThis registry-based retrospective cohort study included patients who were hospitalized and had active cancer and laboratory-confirmed SARS-CoV-2 infection. Data were accrued from March 2020 to December 2021 and analyzed from December 2021 to October 2022.ExposureTreatments of interest (TOIs) (endocrine therapy, vascular endothelial growth factor inhibitors/tyrosine kinase inhibitors [VEGFis/TKIs], immunomodulators [IMiDs], immune checkpoint inhibitors [ICIs], chemotherapy) vs reference (no systemic therapy) in 3 months prior to COVID-19.Main Outcomes and MeasuresMain outcomes were (1) venous thromboembolism (VTE) and (2) arterial thromboembolism (ATE). Secondary outcome was severity of COVID-19 (rates of intensive care unit admission, mechanical ventilation, 30-day all-cause mortality following TEEs in TOI vs reference group) at 30-day follow-up.ResultsOf 4988 hospitalized patients with cancer (median [IQR] age, 69 [59-78] years; 2608 [52%] male), 1869 had received 1 or more TOIs. Incidence of VTE was higher in all TOI groups: endocrine therapy, 7%; VEGFis/TKIs, 10%; IMiDs, 8%; ICIs, 12%; and chemotherapy, 10%, compared with patients not receiving systemic therapies (6%). In multivariable log-binomial regression analyses, relative risk of VTE (adjusted risk ratio [aRR], 1.33; 95% CI, 1.04-1.69) but not ATE (aRR, 0.81; 95% CI, 0.56-1.16) was significantly higher in those exposed to all TOIs pooled together vs those with no exposure. Among individual drugs, ICIs were significantly associated with VTE (aRR, 1.45; 95% CI, 1.01-2.07). Also noted were significant associations between VTE and active and progressing cancer (aRR, 1.43; 95% CI, 1.01-2.03), history of VTE (aRR, 3.10; 95% CI, 2.38-4.04), and high-risk site of cancer (aRR, 1.42; 95% CI, 1.14-1.75). Black patients had a higher risk of TEEs (aRR, 1.24; 95% CI, 1.03-1.50) than White patients. Patients with TEEs had high intensive care unit admission (46%) and mechanical ventilation (31%) rates. Relative risk of death in patients with TEEs was higher in those exposed to TOIs vs not (aRR, 1.12; 95% CI, 0.91-1.38) and was significantly associated with poor performance status (aRR, 1.77; 95% CI, 1.30-2.40) and active/progressing cancer (aRR, 1.55; 95% CI, 1.13-2.13).Conclusions and RelevanceIn this cohort study, relative risk of developing VTE was high among patients receiving TOIs and varied by the type of therapy, underlying risk factors, and demographics, such as race and ethnicity. These findings highlight the need for close monitoring and perhaps personalized thromboprophylaxis to prevent morbidity and mortality associated with COVID-19–related thromboembolism in patients with cancer.