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Allaf, Mohamad E

0000-0003-3333-3904

Mayo Clinic

Johns Hopkins University

Citations 13

Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma
Miao, Diana , Margolis, Claire A. , Gao, Wenhua , Voss, Martin H. , Li, Wei , Martini, Dylan J. , Norton, Craig, Bossé, Dominick , Wankowicz, Stephanie A. , Cullen, Dana, Horak, Christine E., Wind‐Rotolo, Megan , Tracy, Adam , Giannakis, Marios , Hodi, F. Stephen , Drake, Charles G. , Ball, Mark W. , Hellmann, Matthew D. , Ho, Thai H. , Kaelin, William G. , Choueiri, Toni K. , Hodi, Frank Stephen , Allaf, Mohamad E , Snyder, Alexandra , Hellmann, Matthew D , Ho, Thai , Motzer, Robert J , Signoretti, Sabina , Kaelin, William G , Choueiri, Toni K , Van Allen, Eliezer M , Voss, Martin H , Motzer, Robert J.

Science | January 4, 2018 | Volume: 359 | Issue: 6377 | Pages: 801-806

10.1126/science.aan5951 Get It

SNF'ing out antitumor immunity Immune checkpoint inhibitors induce durable tumor regressions in some, but not all, cancer patients. Understanding the mechanisms that determine tumor sensitivity to these drugs could potentially expand the number of patients who benefit (see the Perspective by Ghorani and Quezada). Pan et al. discovered that tumor cells in which a specific SWI/SNF chromatin remodeling complex had been experimentally inactivated were more sensitive to T cell–mediated killing. The cells were more responsive to interferon-γ, leading to increased secretion of cytokines that promote antitumor immunity. Miao et al. examined the genomic features of tumors from patients with metastatic renal cell carcinoma who had been treated with immune checkpoint inhibitors. Tumors harboring inactivating mutations in PBRM1 , which encodes a subunit of the same SWI/SNF complex, were more likely to respond to the drugs. Science , this issue p. 770 , p. 801 ; see also p. 745
Multi-Institutional Experience with Robotic Nephrectomy with Inferior Vena Cava Tumor Thrombectomy
Abaza, Ronney , Shabsigh, Ahmad , Castle, Erik P., Rogers, Craig , Menon, Mani, Aron, Monish, Sundaram, Chandru P. , Castle, Erik, Allaf, Mohamad E , Hu, Jim C. , Eun, Daniel

Journal of Urology | November 19, 2015 | Volume: 195 | Issue: 4 Part 1 | Pages: 865-871

10.1016/j.juro.2015.09.094 Get It

Variability of inter‐observer agreement on feasibility of partial nephrectomy before and after neoadjuvant axitinib for locally advanced renal cell carcinoma ( RCC ): independent analysis from a phase
Devine, Catherine , Fellman, Bryan , Urbauer, Diana L. , Abel, E. Jason , Bex, Axel , Lane, Brian R. , Thompson, R. Houston, Wood, Christopher G. , Karam, Jose Antonio , Allaf, Mohamad E

BJU International | June 1, 2015 | Volume: 117 | Issue: 4 | Pages: 629-635

10.1111/bju.13188 Get It

Objective To evaluate how many patients could have undergone partial nephrectomy ( PN ) rather than radical nephrectomy ( RN ) before and after neoadjuvant axitinib therapy, as assessed by five independent urological oncologists, and to study the variability of inter‐observer agreement. Patients and Methods Pre‐ and post‐systemic treatment computed tomography scans from 22 patients with clear cell renal cell carcinoma in a phase II neoadjuvant axitinib trial were reviewed by five independent urological oncologists. R.E.N.A.L. nephrometry score and κ statistics were calculated. Results The median R.E.N.A.L. nephrometry score changed from 11 before treatment to 10 after treatment ( P = 0.002). Five tumours with moderate complexity before axitinib treatment remained moderate complexity after treatment. Of 17 tumours with high complexity before axitinib treatment, three became moderate complexity after treatment. The overall κ statistic was 0.611. Moderate‐complexity κ was 0.611 vs a high‐complexity κ of 0.428. Before axitinib treatment the κ was 0.550 vs 0.609 after treatment. After treatment with axitinib, all five reviewers agreed that only five patients required RN (instead of eight before treatment) and that 10 patients could now undergo PN (instead of three before treatment). The odds of PN feasibility were 22.8‐times higher after treatment with axitinib. Conclusions There is considerable variability in inter‐observer agreement on the feasibility of PN in patients treated with neoadjuvant targeted therapy. Although more patients were candidates for PN after neoadjuvant axitinib therapy, it remains difficult to identify these patients a priori .