Back to Authors

Gray, Robert J

0000-0002-5724-4917

Mayo Clinic

Eastern Cooperative Oncology Group-American College of Radiology Imaging Network Biostatistics Center, Dana-Farber Cancer Institute, Boston, MA.

Citations 4

The New NCI Precision Medicine Trials
Harris, Lyndsay N. , Blanke, Charles D. , Erba, Harry P. , Ford, James M. , Gray, Robert J. , LeBlanc, Michael , Hu‐Lieskovan, Siwen , Litzow, Mark R. , Luger, Selina M. , Meric‐Bernstam, Funda , O’Dwyer, Peter J. , Politi, Katerina , Shepherd, Lois E. , Allegra, Carmen J. , Korde, Larissa A. , Little, Richard F. , Moscow, Jeffrey A. , Thurin, Magdalena , Doroshow, James H. , LeBlanc, Michael L , Othus, Megan , Politi, Katerina , Shepherd, LE , Allegra, Carmen J , Chen, Helen X , Ivy, S. Percy , Korde, Larissa A , Little, Richard F , McShane, Lisa M. , Moscow, Jeffrey A , Patton, David R , Thurin, Magdalena , Yee, Laura M , Doroshow, James H , Erba, Harry Paul , Meric-Bernstam, Funda , Gray, Robert J , Patton, David R.

Clinical Cancer Research | August 2, 2023 | Volume: 29 | Issue: 23 | Pages: 4728-4732

10.1158/1078-0432.ccr-23-0917 Get It

Abstract Basket, umbrella, and platform trial designs (master protocols) have emerged over the last decade to study precision medicine approaches in oncology. First-generation trials like NCI-MATCH (Molecular Analysis for Therapy Choice) have proven the principle that studying targeted therapies on a large scale is feasible both from the laboratory and clinical perspectives. However, single-agent targeted therapies have shown limited ability to control metastatic disease, despite careful matching of drug to target. As such, newer approaches employing combinations of targeted therapy, or targeted therapy with standard therapies, need to be considered. The NCI has recently embarked on three second-generation precision medicine trials to address this need: ComboMATCH, iMATCH, and myeloMATCH. The design of these trials and necessary infrastructure are discussed in the following perspective.
Population, Clinical, and Scientific Impact of National Cancer Institute's National Clinical Trials Network Treatment Studies
Unger, Joseph M. , George, Suzanne , Curran, Walter J. , O’Dwyer, Peter J. , Schnall, Mitchell D. , Mannel, Robert S., Mandrekar, Sumithra J. , Dignam, James J. , Gray, Robert J. , Bah, Mariama, Vaidya, Riha , Blanke, Charles D. , George, Suzanne , Mandrekar, Sumithra J , Gray, Robert J , Vaidya, Riha , Unger, Joseph M , LeBlanc, Michael , Wolmark, Norman , Zhao, Fengmin

Journal of Clinical Oncology | December 8, 2022 | Volume: 41 | Issue: 11 | Pages: 2020-2028

10.1200/jco.22.01826 Get It

PURPOSE In the United States, the National Cancer Institute National Cancer Clinical Trials Network (NCTN) groups have conducted publicly funded oncology research for 50 years. The combined impact of all adult network group trials has never been systematically examined. METHODS We identified randomized, phase III trials from the adult NCTN groups, reported from 1980 onward, with statistically significant findings for ≥ 1 clinical, time-dependent outcomes. In the subset of trials in which the experimental arm improved overall survival, gains in population life-years were estimated by deriving trial-specific hazard functions and hazard ratios to estimate the experimental treatment benefit and then mapping this trial-level benefit onto the US cancer population using registry and life-table data. Scientific impact was based on citation data from Google Scholar. Federal investment costs per life-year gained were estimated. The results were derived through December 31, 2020. RESULTS One hundred sixty-two trials comprised of 108,334 patients were analyzed, representing 29.8% (162/544) of trials conducted. The most common cancers included breast (34), gynecologic (28), and lung (14). The trials were cited 165,336 times (mean, 62.2 citations/trial/year); 87.7% of trials were cited in cancer care guidelines in favor of the recommended treatment. These studies were estimated to have generated 14.2 million (95% CI, 11.5 to 16.5 million) additional life-years to patients with cancer, with projected gains of 24.1 million (95% CI, 19.7 to 28.2 million) life-years by 2030. The federal investment cost per life-year gained through 2020 was $326 in US dollars. CONCLUSION NCTN randomized trials have been widely cited and are routinely included in clinical guidelines. Moreover, their conduct has predicted substantial improvements in overall survival in the United States for patients with oncologic disease, suggesting they have contributed meaningfully to this nation's health. These findings demonstrate the critical role of government-sponsored research in extending the lives of patients with cancer.
Race, Ethnicity, and Clinical Outcomes in Hormone Receptor-Positive, HER2-Negative, Node-Negative Breast Cancer in the Randomized TAILORx Trial
Albain, Kathy S. , Gray, Robert J. , Makower, Della , Faghih, Amir, Hayes, Daniel F. , Dees, Elizabeth Claire , Goetz, Matthew P. , Lively, Tracy , Saphner, Thomas J. , Whelan, Timothy J. , Wood, William C., Keane, Maccon, Reddy, Pavan S. , Goggins, Timothy F., Toppmeyer, Deborah , Kaklamani, Virginia , Abrams, Jeffrey S. , Gómez, Henry , Goetz, Matthew P , Gray, Robert J , Geyer, Charles E. , Olson, John A. , Badve, Sunil , Wagner, Lynne I. , Ellis, Matthew J. , Gomez, Henry L. , Mayer, Ingrid A. , Brufsky, Adam , Berenberg, Jeffrey L. , Sledge, George W. , Sparano, Joseph A.

JNCI: Journal of the National Cancer Institute | September 19, 2020 | Volume: 113 | Issue: 4 | Pages: 390-399

10.1093/jnci/djaa148 Get It

Abstract Background Black race is associated with worse outcomes in early breast cancer. We evaluated clinicopathologic characteristics, the 21-gene recurrence score (RS), treatment delivered, and clinical outcomes by race and ethnicity among women who participated in the Trial Assigning Individualized Options for Treatment. Methods The association between clinical outcomes and race (White, Black, Asian, other or unknown) and ethnicity (Hispanic vs non-Hispanic) was examined using proportional hazards models. All P values are 2-sided. Results Of 9719 eligible women with hormone receptor–positive, HER2-negative, node-negative breast cancer, there were 8189 (84.3%) Whites, 693 (7.1%) Blacks, 405 (4.2%) Asians, and 432 (4.4%) with other or unknown race. Regarding ethnicity, 889 (9.1%) were Hispanic. There were no substantial differences in RS or ESR1, PGR, or HER2 RNA expression by race or ethnicity. After adjustment for other covariates, compared with White race, Black race was associated with higher distant recurrence rates (hazard ratio [HR] = 1.60, 95% confidence intervals [CI] = 1.07 to 2.41) and worse overall survival in the RS 11-25 cohort (HR = 1.51, 95% CI = 1.06 to 2.15) and entire population (HR = 1.41, 95% CI = 1.05 to 1.90). Hispanic ethnicity and Asian race were associated with better outcomes. There was no evidence of chemotherapy benefit for any racial or ethnic group in those with a RS of 11-25. Conclusions Black women had worse clinical outcomes despite similar 21-gene assay RS results and comparable systemic therapy in the Trial Assigning Individualized Options for Treatment. Similar to Whites, Black women did not benefit from adjuvant chemotherapy if the 21-gene RS was 11-25. Further research is required to elucidate the basis for this racial disparity in prognosis.
The Molecular Analysis for Therapy Choice (NCI-MATCH) Trial: Lessons for Genomic Trial Design
Gray, Robert J. , Chen, Alice P. , Patton, David R. , Mitchell, Edith P. , Iafrate, A. John , Sklar, Jeffrey , Harris, Lyndsay N. , Rubinstein, Larry , Routbort, Mark, Coffey, Brent , Fu, Tony, Little, Richard F. , Marinucci, Donna M. , Catalano, Robert B., Magnan, Rick, Kibbe, Warren A. , Weil, Carol J. , Tricoli, James V. , Kumar, Shaji , Lih, Chih‐Jian, McCaskill‐Stevens, Worta , Takebe, Naoko, Datta, Vivekananda, Arteaga, Carlos L. , Abrams, Jeffrey S. , Comis, Robert L., O’Dwyer, Peter J , Conley, Barbara A. , Team, for the NCI-MATCH, Gray, Robert J , Patton, David R , Flaherty, Keith T. , Li, Shuli , Hamilton, Stanley R. , Williams, P. Mickey , McShane, Lisa M. , Sims, David J, Zwiebel, James A. , Alexander, Brian M. , Schwartz, Gary K. , Meric‐Bernstam, Funda , Caimi, Paolo F. , Takebe, Naoko , O’Dwyer, Peter J. , Team, for the NCI-MATCH, Rubinstein, Larry V

JNCI: Journal of the National Cancer Institute | January 6, 2020 | Volume: 112 | Issue: 10 | Pages: 1021-1029

10.1093/jnci/djz245 Get It

Abstract Background The proportion of tumors of various histologies that may respond to drugs targeted to molecular alterations is unknown. NCI-MATCH, a collaboration between ECOG-ACRIN Cancer Research Group and the National Cancer Institute, was initiated to find efficacy signals by matching patients with refractory malignancies to treatment targeted to potential tumor molecular drivers regardless of cancer histology. Methods Trial development required assumptions about molecular target prevalence, accrual rates, treatment eligibility, and enrollment rates as well as consideration of logistical requirements. Central tumor profiling was performed with an investigational next-generation DNA–targeted sequencing assay of alterations in 143 genes, and protein expression of protein expression of phosphatase and tensin homolog, mutL homolog 1, mutS homolog 2, and RB transcriptional corepressor 1. Treatments were allocated with a validated computational platform (MATCHBOX). A preplanned interim analysis evaluated assumptions and feasibility in this novel trial. Results At interim analysis, accrual was robust, tumor biopsies were safe (<1% severe events), and profiling success was 87.3%. Actionable molecular alteration frequency met expectations, but assignment and enrollment lagged due to histology exclusions and mismatch of resources to demand. To address this lag, we revised estimates of mutation frequencies, increased screening sample size, added treatments, and improved assay throughput and efficiency (93.9% completion and 14-day turnaround). Conclusions The experiences in the design and implementation of the NCI-MATCH trial suggest that profiling from fresh tumor biopsies and assigning treatment can be performed efficiently in a large national network trial. The success of such trials necessitates a broad screening approach and many treatment options easily accessible to patients.