Senthil Damodaran
University of Texas MD Anderson Cancer Center
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JCO Precision Oncology | 2018
Funda Meric-Bernstam; Xiaofeng Zheng; Maryam Shariati; Senthil Damodaran; Chetna Wathoo; Lauren Brusco; Mehmet Esat Demirhan; Coya Tapia; Agda Karina Eterovic; Reva K. Basho; Naoto T. Ueno; Filip Janku; Aysegul A. Sahin; Jordi Rodon; Russell Broaddus; Tae-Beom Kim; John Mendelsohn; Kenna R. Mills Shaw; Debu Tripathy; Gordon B. Mills; Ken Chen
Purpose We sought to determine the significant genomic alterations in patients with metastatic breast cancer (MBC), and survival outcomes in common genotypes. Patients and Methods High-depth next generation sequencing was performed for 202 genes in tumor and normal DNA from 257 patients with MBC, including 165 patients with ER/PR+ HER2- (hormone receptor positive, HR+ positive), 32 patients with HER2+ and 60 patients with triple negative (ER/PR/HER2-) cancer. Kaplan Meier survival analysis was performed in our discovery set, in breast cancer patients analyzed in The Cancer Genome Atlas, and in a separate cohort of 98 patients with MBC who underwent clinical genomic testing. Results Significantly mutated genes (SMGs) varied by histology and tumor subtype, but TP53 was a SMG in all three subtypes. The most SMGs in HR+ patients included PIK3CA (32%), TP53 (29%), GATA3 (15%), CDH1 (8%), MAP3K1 (8%), PTEN (5%), TGFBR2 (4%), AKT1 (4%), and MAP2K4 (4%). TP53 mutations were associated with shorter recurrence-free survival (P=0.004), progression-free survival (P=0.00057) and overall survival (P=0.003). Further, TP53 status was prognostic among HR+ patients with PIK3CA mutations. TP53 mutations were also associated with poorer overall survival in the 442 HR+ breast cancer patients in the TCGA (P=0.042) and in an independent set of 96 HR+ MBC who underwent clinical sequencing (P=0.0004). Conclusions SMGs differ by tumor subtype but TP53 is significantly mutated in all three breast cancer subtypes. TP53 mutations are associated with poor prognosis in HR+ breast cancer. TP53 mutations should be considered in the design and interpretation of precision oncology trials.
Cancer Research | 2017
Senthil Damodaran; Ken Hess; Maia Rauch; Beatrice Astrada; Lumarie Santiago; Jennifer K. Litton; Elizabeth A. Mittendorf; Bora Lim; Naoto Ueno; Debu Tripathy; Alastair M. Thompson; Mike Gilcrease; Wei Yang; Helen Piwnica-Worms; W. Fraser Symmans; Stacy L. Moulder
BACKGROUND: Approximately 50% of TNBC pts treated with standard taxane/anthracycline-based NACT will have chemo-insensitive disease (CID) manifested as extensive residual disease (RCB-II or III) at the time of surgery. 40-80% of these pts will develop recurrence within 3 years of initial diagnosis. Recent advances in molecular profiling have identified subsets of TNBC with distinct, targetable molecular features. We developed a clinical trial to identify and characterize CID (ARTEMIS: ARandomized, TNBC Enrolling trial to confirm Molecular profiling Improves Survival). In the ARTEMIS trial, treatment naive pts with localized TNBC undergo a pretreatment biopsy and then immediately start their initial phase of anthracycline-based chemotherapy so that the results of the molecular characterization are used in combination with response assessment (clinical exam/diagnostic imaging) to identify CID and inform the second phase of NACT, thus using a 9second hit9 strategy in the middle of NACT to overcome drug resistance. The mesenchymal subtypes of TNBC have a high incidence of PI3K pathway activation. Preclinical models demonstrated response to PI3K inhibitors in this subtype. Metaplastic breast cancers make up ∼30% of tumors characterized as 9claudin-low/mesenchymal9 by gene signature and are also associated with a high rate of PI3K activating molecular aberrations. A combination regimen of liposomal doxorubicin, bevacizumab and the mTOR inhibitors temsirolimus or everolimus (DAT or DAE) demonstrated response (including durable complete responses) in metastatic metaplastic breast cancer. PRIMARY OBJECTIVE: Determine the rate of pathologic complete response (pCR/RCB-0) or minimal residual disease (RCB-I) after 4 cycles of DAE for treatment of mesenchymal TNBC deemed to be CID through the ARTEMIS trial TRIAL DESIGN AND STATISTICAL METHODS: Only pts deemed to have mesenchymal CID on the ARTEMIS trial can enter this non-randomized phase II study. Realizing that pts without response to their initial cycles of chemotherapy have very low chance (5%) of achieving pCR with additional cycles of chemotherapy, it would be clinically meaningful to see pCR in this pt population improved to 20%. Counting pCR (RCB-0) or RCB-I as response, a two-stage Gehan-type design will be employed with 14 pts in the first stage. If at least one pt responds, 23 more pts will be added for a total of 37 pts. This design has a 49% chance of terminating after the first stage if the true response rate is 0.05, 23% chance if the true rate is 0.10, 10% if the true rate is 0.15 and 4% if the true rate is 0.20. If accrual continues to the second stage and a total of 37 pts are enrolled, the 95% confidence interval for a 0.20 response rate will extend from 0.10 to 0.35. BRIEF ELIGIBILITY CRITERIA:Inclusion: localized TNBC enrolled onto ARTEMIS trial, adequate organ, bone marrow and cardiac parameters Exclusion: metastatic disease, pregnant or lactating pts, medical illness that increases chance of moderate to severe toxicity CORRELATIVE SCIENCE: Correlate vimentin expression by IHC, mesenchymal signatures and PI3K pathway aberrations with response. Citation Format: Moulder S, Hess K, Rauch M, Astrada B, Litton J, Mittendorf E, Ueno N, Tripathy D, Lim B, Piwnica-Worms H, Thompson A, Symmans WF. NCT02456857: A phase II trial of liposomal doxorubicin, bevacizumab and everolimus (DAE) in patients (pts) with localized triple-negative breast cancer (TNBC) with tumors predicted insensitive to standard neoadjuvant chemotherapy (NACT) [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr OT2-01-22.
Journal of Clinical Oncology | 2018
Jennifer K. Litton; Marion E. Scoggins; Kenneth R. Hess; Beatriz E. Adrada; Carlos H. Barcenas; Rashmi Krishna Murthy; Senthil Damodaran; Sarah M. DeSnyder; Abenaa M. Brewster; Alastair M. Thompson; Gary J. Whitman; Nuhad K. Ibrahim; Stacy L. Moulder; Jill Schwartz-Gomez; Elizabeth A. Mittendorf; Banu Arun
Journal of Clinical Oncology | 2018
Stacy L. Moulder; Kenneth R. Hess; Rosalind P. Candelaria; Gaiane M. Rauch; Lumarie Santiago; Beatriz E. Adrada; Wei Tse Yang; Michael Z. Gilcrease; Lei Huo; Michael C. Stauder; Banu Arun; Rachel Layman; Rashmi Krishna Murthy; Senthil Damodaran; Naoto T. Ueno; Alastair M. Thompson; Bora Lim; Elizabeth A. Mittendorf; Jennifer K. Litton; W. F. Symmans
Journal of Clinical Oncology | 2018
Clinton Yam; Kenneth R. Hess; Jennifer K. Litton; Wei Tse Yang; Lumarie Santiago; Rosalind P. Candelaria; Elizabeth A. Mittendorf; Rashmi Krishna Murthy; Senthil Damodaran; Thorunn Helgason; Lei Huo; Alastair M. Thompson; Michelle Craig Barton; Monica L. Huang; Elsa Arribas; Deanna Lane; Gaiane M. Rauch; Beatriz E. Adrada; Michael Z. Gilcrease; Stacy L. Moulder
Journal of Clinical Oncology | 2018
Seyed Saeed Pairawan; Kenneth R. Hess; Filip Janku; Nora Sanchez; Cathy Eng; Senthil Damodaran; Milind Javle; Ahmed Kaseb; David S. Hong; Vivek Subbiah; Siqing Fu; David R. Fogelman; Victoria M. Raymond; Richard B. Lanman; Funda Meric-Bernstam
Journal of Clinical Oncology | 2018
Naoto T. Ueno; Rie K. Tahara; Babita Saigal; Takeo Fujii; James M. Reuben; Hui Gao; Anthony Lucci; Nuhad K. Ibrahim; Senthil Damodaran; Yu Shen; Diane D. Liu; Gabriel N. Hortobagyi; Debu Tripathy; Bora Lim; Beth Chasen
Cancer Research | 2018
Rk Tahara; Takeo Fujii; Babita Saigal; Nuhad K. Ibrahim; Senthil Damodaran; Carlos H. Barcenas; James L. Murray; Ba Chasen; Yu Shen; Diane Liu; Gabriel N. Hortobagyi; Debu Tripathy; Nt Ueno
Cancer Research | 2018
Clinton Yam; Lumarie Santiago; Rosalind P. Candelaria; Beatriz E. Adrada; Gaiane M. Rauch; Kenneth R. Hess; Jennifer K. Litton; Helen Piwnica-Worms; Elizabeth A. Mittendorf; Nt Ueno; Bora Lim; Ravi Murthy; Senthil Damodaran; Thorunn Helgason; Longfei Huo; Alastair M. Thompson; Michael Z. Gilcrease; W. F. Symmans; S. L. Moulder; W Yang
Cancer Research | 2018
Clinton Yam; Longfei Huo; Kenneth R. Hess; Jennifer K. Litton; W Yang; Helen Piwnica-Worms; Elizabeth A. Mittendorf; Nt Ueno; Bora Lim; Ravi Murthy; Senthil Damodaran; Thorunn Helgason; Alastair M. Thompson; Lumarie Santiago; Rosalind P. Candelaria; Gaiane M. Rauch; Beatriz E. Adrada; W. F. Symmans; Michael Z. Gilcrease; S. L. Moulder