Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Rodabe N. Amaria is active.

Publication


Featured researches published by Rodabe N. Amaria.


Cancer Discovery | 2016

Loss of PTEN promotes resistance to T cell–mediated immunotherapy

Weiyi Peng; Jie Qing Chen; Chengwen Liu; Shruti Malu; Caitlin Creasy; Michael T. Tetzlaff; Chunyu Xu; Jodi A. McKenzie; Chunlei Zhang; Xiaoxuan Liang; Leila Williams; Wanleng Deng; Guo Chen; Rina M. Mbofung; Alexander J. Lazar; Carlos A. Torres-Cabala; Zachary A. Cooper; Pei-Ling Chen; Trang Tieu; Stefani Spranger; Xiaoxing Yu; Chantale Bernatchez; Marie-Andree Forget; Cara Haymaker; Rodabe N. Amaria; Jennifer L. McQuade; Isabella C. Glitza; Tina Cascone; Haiyan S. Li; Lawrence N. Kwong

UNLABELLED T cell-mediated immunotherapies are promising cancer treatments. However, most patients still fail to respond to these therapies. The molecular determinants of immune resistance are poorly understood. We show that loss of PTEN in tumor cells in preclinical models of melanoma inhibits T cell-mediated tumor killing and decreases T-cell trafficking into tumors. In patients, PTEN loss correlates with decreased T-cell infiltration at tumor sites, reduced likelihood of successful T-cell expansion from resected tumors, and inferior outcomes with PD-1 inhibitor therapy. PTEN loss in tumor cells increased the expression of immunosuppressive cytokines, resulting in decreased T-cell infiltration in tumors, and inhibited autophagy, which decreased T cell-mediated cell death. Treatment with a selective PI3Kβ inhibitor improved the efficacy of both anti-PD-1 and anti-CTLA-4 antibodies in murine models. Together, these findings demonstrate that PTEN loss promotes immune resistance and support the rationale to explore combinations of immunotherapies and PI3K-AKT pathway inhibitors. SIGNIFICANCE This study adds to the growing evidence that oncogenic pathways in tumors can promote resistance to the antitumor immune response. As PTEN loss and PI3K-AKT pathway activation occur in multiple tumor types, the results support the rationale to further evaluate combinatorial strategies targeting the PI3K-AKT pathway to increase the efficacy of immunotherapy.


Science | 2018

Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients.

V. Gopalakrishnan; C. N. Spencer; Luigi Nezi; Alexandre Reuben; Miles C. Andrews; T. V. Karpinets; Peter A. Prieto; D. Vicente; K. Hoffman; Spencer C. Wei; Alexandria P. Cogdill; Li Zhao; Courtney W. Hudgens; D. S. Hutchinson; T. Manzo; M. Petaccia de Macedo; Tiziana Cotechini; T. Kumar; Wei Shen Chen; Sangeetha M. Reddy; R. Szczepaniak Sloane; J. Galloway-Pena; Hong Jiang; Pei Ling Chen; E. J. Shpall; K. Rezvani; A. M. Alousi; R. F. Chemaly; S. Shelburne; Luis Vence

Good bacteria help fight cancer Resident gut bacteria can affect patient responses to cancer immunotherapy (see the Perspective by Jobin). Routy et al. show that antibiotic consumption is associated with poor response to immunotherapeutic PD-1 blockade. They profiled samples from patients with lung and kidney cancers and found that nonresponding patients had low levels of the bacterium Akkermansia muciniphila. Oral supplementation of the bacteria to antibiotic-treated mice restored the response to immunotherapy. Matson et al. and Gopalakrishnan et al. studied melanoma patients receiving PD-1 blockade and found a greater abundance of “good” bacteria in the guts of responding patients. Nonresponders had an imbalance in gut flora composition, which correlated with impaired immune cell activity. Thus, maintaining healthy gut flora could help patients combat cancer. Science, this issue p. 91, p. 104, p. 97; see also p. 32 Gut bacteria influence patient response to cancer therapy. Preclinical mouse models suggest that the gut microbiome modulates tumor response to checkpoint blockade immunotherapy; however, this has not been well-characterized in human cancer patients. Here we examined the oral and gut microbiome of melanoma patients undergoing anti–programmed cell death 1 protein (PD-1) immunotherapy (n = 112). Significant differences were observed in the diversity and composition of the patient gut microbiome of responders versus nonresponders. Analysis of patient fecal microbiome samples (n = 43, 30 responders, 13 nonresponders) showed significantly higher alpha diversity (P < 0.01) and relative abundance of bacteria of the Ruminococcaceae family (P < 0.01) in responding patients. Metagenomic studies revealed functional differences in gut bacteria in responders, including enrichment of anabolic pathways. Immune profiling suggested enhanced systemic and antitumor immunity in responding patients with a favorable gut microbiome as well as in germ-free mice receiving fecal transplants from responding patients. Together, these data have important implications for the treatment of melanoma patients with immune checkpoint inhibitors.


Cancer Discovery | 2016

Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade

Pei Ling Chen; Whijae Roh; Alexandre Reuben; Zachary A. Cooper; Christine N. Spencer; Peter A. Prieto; John P. Miller; Roland L. Bassett; Vancheswaran Gopalakrishnan; Khalida Wani; Mariana Petaccia de Macedo; Jacob Austin-Breneman; Hong Jiang; Qing Chang; Sangeetha M. Reddy; Wei Shen Chen; Michael T. Tetzlaff; R. Broaddus; Michael A. Davies; Jeffrey E. Gershenwald; Lauren E. Haydu; Alexander J. Lazar; Sapna Pradyuman Patel; Patrick Hwu; Wen-Jen Hwu; Adi Diab; Isabella C. Glitza; Scott E. Woodman; Luis Vence; Ignacio I. Wistuba

UNLABELLED Immune checkpoint blockade represents a major breakthrough in cancer therapy; however, responses are not universal. Genomic and immune features in pretreatment tumor biopsies have been reported to correlate with response in patients with melanoma and other cancers, but robust biomarkers have not been identified. We studied a cohort of patients with metastatic melanoma initially treated with cytotoxic T-lymphocyte-associated antigen-4 (CTLA4) blockade (n = 53) followed by programmed death-1 (PD-1) blockade at progression (n = 46), and analyzed immune signatures in longitudinal tissue samples collected at multiple time points during therapy. In this study, we demonstrate that adaptive immune signatures in tumor biopsy samples obtained early during the course of treatment are highly predictive of response to immune checkpoint blockade and also demonstrate differential effects on the tumor microenvironment induced by CTLA4 and PD-1 blockade. Importantly, potential mechanisms of therapeutic resistance to immune checkpoint blockade were also identified. SIGNIFICANCE These studies demonstrate that adaptive immune signatures in early on-treatment tumor biopsies are predictive of response to checkpoint blockade and yield insight into mechanisms of therapeutic resistance. These concepts have far-reaching implications in this age of precision medicine and should be explored in immune checkpoint blockade treatment across cancer types. Cancer Discov; 6(8); 827-37. ©2016 AACR.See related commentary by Teng et al., p. 818This article is highlighted in the In This Issue feature, p. 803.


Science Translational Medicine | 2017

Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance

Whijae Roh; Pei Ling Chen; Alexandre Reuben; Christine N. Spencer; Peter A. Prieto; John P. Miller; Vancheswaran Gopalakrishnan; Feng Wang; Zachary A. Cooper; Sangeetha M. Reddy; Curtis Gumbs; Latasha Little; Qing Chang; Wei Shen Chen; Khalida Wani; Mariana Petaccia de Macedo; Eveline Chen; Jacob Austin-Breneman; Hong Jiang; Jason Roszik; Michael T. Tetzlaff; Michael A. Davies; Jeffrey E. Gershenwald; Hussein Abdul-Hassan Tawbi; Alexander J. Lazar; Patrick Hwu; Wen-Jen Hwu; Adi Diab; Isabella C. Glitza; Sapna Pradyuman Patel

Profiling of melanoma patients treated with checkpoint blockade reveals TCR clonality and copy number loss as correlates of therapeutic response. Checking on checkpoint inhibitors Immune checkpoint blockade has greatly improved the success of treatment in melanoma and other tumor types, but it is expensive and does not work for all patients. To optimize the likelihood of therapeutic success and reduce the risks and expense of unnecessary treatment, it would be helpful to find biomarkers that can predict treatment response. Roh et al. studied patients treated with sequential checkpoint inhibitors targeting CTLA-4 and then PD-1. In these patients, the authors discovered that a more clonal T cell population specifically correlates with response to PD-1 blockade, but not CTLA-4, which may help identify the best candidates for this treatment. In addition, increased frequency of gene copy number loss was correlated with decreased responsiveness to either therapy. Immune checkpoint blockade produces clinical benefit in many patients. However, better biomarkers of response are still needed, and mechanisms of resistance remain incompletely understood. To address this, we recently studied a cohort of melanoma patients treated with sequential checkpoint blockade against cytotoxic T lymphocyte antigen–4 (CTLA-4) followed by programmed death receptor–1 (PD-1) and identified immune markers of response and resistance. Building on these studies, we performed deep molecular profiling including T cell receptor sequencing and whole-exome sequencing within the same cohort and demonstrated that a more clonal T cell repertoire was predictive of response to PD-1 but not CTLA-4 blockade. Analysis of CNAs identified a higher burden of copy number loss in nonresponders to CTLA-4 and PD-1 blockade and found that it was associated with decreased expression of genes in immune-related pathways. The effect of mutational load and burden of copy number loss on response was nonredundant, suggesting the potential utility of a combinatorial biomarker to optimize patient care with checkpoint blockade therapy.


Clinical Cancer Research | 2015

Development of a Prognostic Genetic Signature to Predict the Metastatic Risk Associated with Cutaneous Melanoma

Pedram Gerami; Robert W. Cook; Jeff Wilkinson; Maria C. Russell; Navneet Dhillon; Rodabe N. Amaria; Rene Gonzalez; Stephen Lyle; Clare Johnson; Kristen M. Oelschlager; Gilchrist L. Jackson; Anthony J. Greisinger; Derek Maetzold; Keith A. Delman; David H. Lawson; John F. Stone

Purpose: The development of a genetic signature for the identification of high-risk cutaneous melanoma tumors would provide a valuable prognostic tool with value for stage I and II patients who represent a remarkably heterogeneous group with a 3% to 55% chance of disease progression and death 5 years from diagnosis. Experimental Design: A prognostic 28-gene signature was identified by analysis of microarray expression data. Primary cutaneous melanoma tumor tissue was evaluated by RT-PCR for expression of the signature, and radial basis machine (RBM) modeling was performed to predict risk of metastasis. Results: RBM analysis of cutaneous melanoma tumor gene expression reports low risk (class 1) or high risk (class 2) of metastasis. Metastatic risk was predicted with high accuracy in development (ROC = 0.93) and validation (ROC = 0.91) cohorts of primary cutaneous melanoma tumor tissue. Kaplan–Meier analysis indicated that the 5-year disease-free survival (DFS) rates in the development set were 100% and 38% for predicted classes 1 and 2 cases, respectively (P < 0.0001). DFS rates for the validation set were 97% and 31% for predicted classes 1 and 2 cases, respectively (P < 0.0001). Gene expression profile (GEP), American Joint Committee on Cancer stage, Breslow thickness, ulceration, and age were independent predictors of metastatic risk according to Cox regression analysis. Conclusions: The GEP signature accurately predicts metastasis risk in a multicenter cohort of primary cutaneous melanoma tumors. Preliminary Cox regression analysis indicates that the signature is an independent predictor of metastasis risk in the cohort presented. Clin Cancer Res; 21(1); 175–83. ©2015 AACR.


Journal of The American Academy of Dermatology | 2015

Gene expression profiling for molecular staging of cutaneous melanoma in patients undergoing sentinel lymph node biopsy.

Pedram Gerami; Robert W. Cook; Maria C. Russell; Jeff Wilkinson; Rodabe N. Amaria; Rene Gonzalez; Stephen Lyle; Gilchrist L. Jackson; Anthony J. Greisinger; Clare Johnson; Kristen M. Oelschlager; John F. Stone; Derek Maetzold; Laura K. Ferris; Jeffrey D. Wayne; Chelsea Cooper; Roxana Obregon; Keith A. Delman; David H. Lawson

BACKGROUND A gene expression profile (GEP) test able to accurately identify risk of metastasis for patients with cutaneous melanoma has been clinically validated. OBJECTIVE We aimed for assessment of the prognostic accuracy of GEP and sentinel lymph node biopsy (SLNB) tests, independently and in combination, in a multicenter cohort of 217 patients. METHODS Reverse transcription polymerase chain reaction (RT-PCR) was performed to assess the expression of 31 genes from primary melanoma tumors, and SLNB outcome was determined from clinical data. Prognostic accuracy of each test was determined using Kaplan-Meier and Cox regression analysis of disease-free, distant metastasis-free, and overall survivals. RESULTS GEP outcome was a more significant and better predictor of each end point in univariate and multivariate regression analysis, compared with SLNB (P < .0001 for all). In combination with SLNB, GEP improved prognostication. For patients with a GEP high-risk outcome and a negative SLNB result, Kaplan-Meier 5-year disease-free, distant metastasis-free, and overall survivals were 35%, 49%, and 54%, respectively. LIMITATIONS Within the SLNB-negative cohort of patients, overall risk of metastatic events was higher (∼30%) than commonly found in the general population of patients with melanoma. CONCLUSIONS In this study cohort, GEP was an objective tool that accurately predicted metastatic risk in SLNB-eligible patients.


Cancer Immunology, Immunotherapy | 2013

Myeloid-derived suppressor cells are associated with disease progression and decreased overall survival in advanced-stage melanoma patients

Kimberly R. Jordan; Rodabe N. Amaria; Oscar Ramirez; Eryn B. Callihan; Dexiang Gao; Michelle Borakove; Elizabeth Manthey; Virginia F. Borges; Martin D. McCarter

Myeloid-derived suppressor cells are increased in the peripheral blood of advanced-stage cancer patients; however, no studies have shown a correlation of these immunosuppressive cells with clinical outcomes in melanoma patients. We characterized the frequency and suppressive function of multiple subsets of myeloid-derived suppressor cells in the peripheral blood of 34 patients with Stage IV melanoma, 20 patients with Stage I melanoma, and 15 healthy donors. The frequency of CD14+ MDSCs (Lin− CD11b+ HLA-DR− CD14+ CD33+) and CD14− MDSCs (Lin− CD11b+ HLA-DR− CD14− CD33+) was increased in the peripheral blood of Stage IV melanoma patients relative to healthy donors. The frequency of CD14+ and CD14− MDSCs correlated with each other and with the increased frequency of regulatory T cells, but not with classically defined monocytes. CD14− MDSCs isolated from the peripheral blood of Stage IV melanoma patients suppressed T cell activation more than those isolated from healthy donors, and the frequency of these cells correlated with disease progression and decreased overall survival. Our study provides the first evidence that the frequency of CD14− MDSCs negatively correlates with clinical outcomes in advanced-stage melanoma patients. These data indicate that suppressive MDSCs should be considered as targets for future immunotherapies.


Cancer biology and medicine | 2014

Combining targeted therapy and immune checkpoint inhibitors in the treatment of metastatic melanoma.

Teresa Kim; Rodabe N. Amaria; Christine N. Spencer; Alexandre Reuben; Zachary A. Cooper; Jennifer A. Wargo

Melanoma is the deadliest form of skin cancer and has an incidence that is rising faster than any other solid tumor. Metastatic melanoma treatment has considerably progressed in the past five years with the introduction of targeted therapy (BRAF and MEK inhibitors) and immune checkpoint blockade (anti-CTLA4, anti-PD-1, and anti-PD-L1). However, each treatment modality has limitations. Treatment with targeted therapy has been associated with a high response rate, but with short-term responses. Conversely, treatment with immune checkpoint blockade has a lower response rate, but with long-term responses. Targeted therapy affects antitumor immunity, and synergy may exist when targeted therapy is combined with immunotherapy. This article presents a brief review of the rationale and evidence for the potential synergy between targeted therapy and immune checkpoint blockade. Challenges and directions for future studies are also proposed.


OncoImmunology | 2016

Distinct clinical patterns and immune infiltrates are observed at time of progression on targeted therapy versus immune checkpoint blockade for melanoma

Zachary A. Cooper; Alexandre Reuben; Christine N. Spencer; Peter A. Prieto; Jacob Austin-Breneman; Hong Jiang; Cara Haymaker; Vancheswaran Gopalakrishnan; Michael T. Tetzlaff; Dennie T. Frederick; Ryan J. Sullivan; Rodabe N. Amaria; Sapna Pradyuman Patel; Patrick Hwu; Scott E. Woodman; Isabella C. Glitza; Adi Diab; Luis Vence; Jaime Rodriguez-Canales; Edwin R. Parra; Ignacio I. Wistuba; Lisa M. Coussens; Arlene H. Sharpe; Keith T. Flaherty; Jeffrey E. Gershenwald; Lynda Chin; Michael A. Davies; Karen Clise-Dwyer; James P. Allison; Padmanee Sharma

ABSTRACT We have made major advances in the treatment of melanoma through the use of targeted therapy and immune checkpoint blockade; however, clinicians are posed with therapeutic dilemmas regarding timing and sequence of therapy. There is a growing appreciation of the impact of antitumor immune responses to these therapies, and we performed studies to test the hypothesis that clinical patterns and immune infiltrates differ at progression on these treatments. We observed rapid clinical progression kinetics in patients on targeted therapy compared to immune checkpoint blockade. To gain insight into possible immune mechanisms behind these differences, we performed deep immune profiling in tumors of patients on therapy. We demonstrated low CD8+ T-cell infiltrate on targeted therapy and high CD8+ T-cell infiltrate on immune checkpoint blockade at clinical progression. These data have important implications, and suggest that antitumor immune responses should be assessed when considering therapeutic options for patients with melanoma.


Lancet Oncology | 2018

Neoadjuvant plus adjuvant dabrafenib and trametinib versus standard of care in patients with high-risk, surgically resectable melanoma: a single-centre, open-label, randomised, phase 2 trial

Rodabe N. Amaria; Peter A. Prieto; Michael T. Tetzlaff; Alexandre Reuben; Miles C. Andrews; Merrick I. Ross; Isabella C. Glitza; Janice N. Cormier; Wen-Jen Hwu; Hussein Abdul-Hassan Tawbi; Sapna Pradyuman Patel; Jeffrey E. Lee; Jeffrey E. Gershenwald; Christine N. Spencer; Vancheswaran Gopalakrishnan; Roland L. Bassett; Lauren Simpson; Rosalind Mouton; Courtney W. Hudgens; Li Zhao; Haifeng Zhu; Zachary A. Cooper; Khalida Wani; Alexander J. Lazar; Patrick Hwu; Adi Diab; Michael K. Wong; Jennifer L. McQuade; Richard E. Royal; Anthony Lucci

BACKGROUND Dual BRAF and MEK inhibition produces a response in a large number of patients with stage IV BRAF-mutant melanoma. The existing standard of care for patients with clinical stage III melanoma is upfront surgery and consideration for adjuvant therapy, which is insufficient to cure most patients. Neoadjuvant targeted therapy with BRAF and MEK inhibitors (such as dabrafenib and trametinib) might provide clinical benefit in this high-risk p opulation. METHODS We undertook this single-centre, open-label, randomised phase 2 trial at the University of Texas MD Anderson Cancer Center (Houston, TX, USA). Eligible participants were adult patients (aged ≥18 years) with histologically or cytologically confirmed surgically resectable clinical stage III or oligometastatic stage IV BRAFV600E or BRAFV600K (ie, Val600Glu or Val600Lys)-mutated melanoma. Eligible patients had to have an Eastern Cooperative Oncology Group performance status of 0 or 1, a life expectancy of more than 3 years, and no previous exposure to BRAF or MEK inhibitors. Exclusion criteria included metastases to bone, brain, or other sites where complete surgical excision was in doubt. We randomly assigned patients (1:2) to either upfront surgery and consideration for adjuvant therapy (standard of care group) or neoadjuvant plus adjuvant dabrafenib and trametinib (8 weeks of neoadjuvant oral dabrafenib 150 mg twice per day and oral trametinib 2 mg per day followed by surgery, then up to 44 weeks of adjuvant dabrafenib plus trametinib starting 1 week after surgery for a total of 52 weeks of treatment). Randomisation was not masked and was implemented by the clinical trial conduct website maintained by the trial centre. Patients were stratified by disease stage. The primary endpoint was investigator-assessed event-free survival (ie, patients who were alive without disease progression) at 12 months in the intent-to-treat population. This trial is registered at ClinicalTrials.gov, number NCT02231775. FINDINGS Between Oct 23, 2014, and April 13, 2016, we randomly assigned seven patients to standard of care, and 14 to neoadjuvant plus adjuvant dabrafenib and trametinib. The trial was stopped early after a prespecified interim safety analysis that occurred after a quarter of the participants had been accrued revealed significantly longer event-free survival with neoadjuvant plus adjuvant dabrafenib and trametinib than with standard of care. After a median follow-up of 18·6 months (IQR 14·6-23·1), significantly more patients receiving neoadjuvant plus adjuvant dabrafenib and trametinib were alive without disease progression than those receiving standard of care (ten [71%] of 14 patients vs none of seven in the standard of care group; median event-free survival was 19·7 months [16·2-not estimable] vs 2·9 months [95% CI 1·7-not estimable]; hazard ratio 0·016, 95% CI 0·00012-0·14, p<0·0001). Neoadjuvant plus adjuvant dabrafenib and trametinib were well tolerated with no occurrence of grade 4 adverse events or treatment-related deaths. The most common adverse events in the neoadjuvant plus adjuvant dabrafenib and trametinib group were expected grade 1-2 toxicities including chills (12 patients [92%]), headache (12 [92%]), and pyrexia (ten [77%]). The most common grade 3 adverse event was diarrhoea (two patients [15%]). INTERPRETATION Neoadjuvant plus adjuvant dabrafenib and trametinib significantly improved event-free survival versus standard of care in patients with high-risk, surgically resectable, clinical stage III-IV melanoma. Although the trial finished early, limiting generalisability of the results, the findings provide proof-of-concept and support the rationale for further investigation of neoadjuvant approaches in this disease. This trial is currently continuing accrual as a single-arm study of neoadjuvant plus adjuvant dabrafenib and trametinib. FUNDING Novartis Pharmaceuticals Corporation.

Collaboration


Dive into the Rodabe N. Amaria's collaboration.

Top Co-Authors

Avatar

Patrick Hwu

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Sapna Pradyuman Patel

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Isabella C. Glitza

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Adi Diab

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Michael A. Davies

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Wen-Jen Hwu

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Jennifer A. Wargo

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Michael T. Tetzlaff

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Scott E. Woodman

University of Texas MD Anderson Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Hussein Abdul-Hassan Tawbi

University of Texas MD Anderson Cancer Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge