Mariana Petaccia de Macedo
University of Texas MD Anderson Cancer Center
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Featured researches published by Mariana Petaccia de Macedo.
Cancer Discovery | 2016
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
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.
npj Genomic Medicine | 2017
Alexandre Reuben; Christine N. Spencer; Peter A. Prieto; Vancheswaran Gopalakrishnan; Sangeetha M. Reddy; John P. Miller; Xizeng Mao; Mariana Petaccia de Macedo; Jiong Chen; Xingzhi Song; Hong Jiang; Pei Ling Chen; Hannah C. Beird; Haven R. Garber; Whijae Roh; Khalida Wani; Eveline Chen; Cara Haymaker; Marie Andrée Forget; Latasha Little; Curtis Gumbs; Rebecca Thornton; Courtney W. Hudgens; Wei Shen Chen; Jacob Austin-Breneman; Robert Sloane; Luigi Nezi; Alexandria P. Cogdill; Chantale Bernatchez; Jason Roszik
Appreciation for genomic and immune heterogeneity in cancer has grown though the relationship of these factors to treatment response has not been thoroughly elucidated. To better understand this, we studied a large cohort of melanoma patients treated with targeted therapy or immune checkpoint blockade (n = 60). Heterogeneity in therapeutic responses via radiologic assessment was observed in the majority of patients. Synchronous melanoma metastases were analyzed via deep genomic and immune profiling, and revealed substantial genomic and immune heterogeneity in all patients studied, with considerable diversity in T cell frequency, and few shared T cell clones (<8% on average) across the cohort. Variables related to treatment response were identified via these approaches and through novel radiomic assessment. These data yield insight into differential therapeutic responses to targeted therapy and immune checkpoint blockade in melanoma, and have key translational implications in the age of precision medicine.Melanoma: Tumor differences within a patient may explain heterogeneous responsesPatients with metastatic melanoma display molecular and immune differences across tumor sites associated with differential drug responses. A team led by Jennifer Wargo from the University of Texas MD Anderson Cancer Center, Houston, USA, studied the radiological responses of 60 patients with metastatic melanoma, half of whom received targeted drug therapy and half of whom received an immune checkpoint inhibitor. The majority (83%) showed differences in responses across metastases. The group then profiled tumors in a subset, and found molecular and immune heterogeneity in different tumors within the same patient. Heterogeneity in mutational and immune profiles within tumors from individual patients could explain differences in treatment response. Knowing this, the authors emphasize the importance of acquiring biopsies from more than one tumor site in order to best tailor therapies to the features of metastatic cancer.
OncoImmunology | 2017
Yong Qin; Mariana Petaccia de Macedo; Alexandre Reuben; Marie Andrée Forget; Cara Haymaker; Chantale Bernatchez; Christine N. Spencer; Vancheswaran Gopalakrishnan; Sujan Reddy; Zachary A. Cooper; Orenthial J. Fulbright; Arely Wahl; Esteban Flores; Shawne T. Thorsen; René J. Tavera; Claudius Conrad; Michelle D. Williams; Michael T. Tetzlaff; Wei Lien Wang; Dan S. Gombos; Bita Esmaeli; Rodabe N. Amaria; Patrick Hwu; Jennifer A. Wargo; Alexander J. Lazar; Sapna Pradyuman Patel
ABSTRACT The low response rates to immunotherapy in uveal melanoma (UM) sharply contrast with reputable response rates in cutaneous melanoma (CM) patients. To characterize the mechanisms responsible for resistance to immunotherapy in UM, we performed immune profiling in tumors from 10 metastatic UM patients and 10 metastatic CM patients by immunohistochemistry (IHC). Although there is no difference in infiltrating CD8+ T cells between UM and CM, a significant decrease in programmed death-1 (PD-1)-positive lymphocytes was observed and lower levels of programmed death ligand-1 (PD-L1) in UM metastases compared with CM metastases. Tumors from metastatic UM patients showed a lower success rate of tumor-infiltrating lymphocyte (TIL) growth compared with metastatic CM (45% vs. 64% success), with a significantly lower quantity of UM TIL expanded overall. These studies suggest that UM and CM are immunologically distinct, and provide potential explanation for the impaired success of immunotherapy in UM.
Journal of Surgical Oncology | 2018
Márcio Carmona Marques; Heber Salvador de Castro Ribeiro; Wilson L. Costa; Victor Hugo Fonseca Jesus; Mariana Petaccia de Macedo; Alessandro Landskron Diniz; André Luís de Godoy; Igor Correia de Farias; Samuel Aguiar; Rachel P. Riechelmann; Maria Dirlei Begnami; Felipe José Fernandez Coimbra
Recent studies have suggested that sidedness of origin from colorectal adenocarcinomas is a predictor of survival, however the impact of this factor in patients with resected colon cancer liver metastases (CLM) is not clear. So, in this study, we compared clinic and pathologic characteristics and long‐term survival of patients with resected CLM according to the primary tumor location.
Journal of Surgical Oncology | 2018
Paulo H.D.M. Brandão; Eduardo Bertolli; Eduardo Doria-Filho; Ivan D.A.O. Santos Filho; Mariana Petaccia de Macedo; Clóvis Antônio Lopes Pinto; João Pedreira Duprat Neto
Minor basin or in transit node drainage can be found in patients with cutaneous melanoma who undergo sentinel node biopsy. Its clinical impact is still unclear. Our objective is to evaluate clinical outcomes in patients who presented with in transit sentinel node (ITN) drainage.
Journal of Surgical Oncology | 2018
André Sapata Molina; João Pedreira Duprat Neto; Eduardo Bertolli; Isabela Werneck da Cunha; José Humberto Tavares Guerreiro Fregnani; Pedro H.M. Figueiredo; Fernando Augusto Soares; Mariana Petaccia de Macedo; Clovis A. Pinto Lopes; Ivan D.A.O. Santos Filho
Dermatofibrosarcoma protuberans (DFSP) is a rare low grade tumor with a locally aggressive behavior and low metastatic potential.
JCO Precision Oncology | 2018
Lawrence N. Kwong; Mariana Petaccia de Macedo; Lauren E. Haydu; Aron Joon; Michael T. Tetzlaff; Tiffany L. Calderone; Chiang-Jun Wu; Man Kam Kwong; Jason Roszik; Kenneth R. Hess; Michael A. Davies; Alexander J. Lazar; Jeffrey E. Gershenwald
PURPOSE Initiatives such as The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) have generated high-quality, multi-platform molecular data from thousands of frozen tumor samples. While these initiatives have provided invaluable insight into cancer biology, a tremendous potential resource remains largely untapped in formalin-fixed, paraffin-embedded (FFPE) samples that are more readily available, but which can present technical challenges due to crosslinking of fragile molecules such as RNA. MATERIALS AND METHODS We extracted RNA from FFPE primary melanomas and assessed two gene expression platforms -- genome-wide RNA sequencing (RNA-seq) and targeted NanoString -- for their ability to generate coherent biological signals. To do so, we generated an improved approach to quantifying gene expression pathways, in which we refine pathway scores through correlation-guided gene subsetting. We also make comparisons to the TCGA and other publicly available melanoma datasets. RESULTS Comparison of the gene expression patterns to each other, to established biological modules, and to clinical and immunohistochemical data confirmed the fidelity of biological signals from both platforms using FFPE samples to known biology. Moreover, correlations with patient outcome data were consistent with previous frozen-tissue-based studies. CONCLUSION FFPE samples from previously difficult-to-access cancer types - such as small primary melanomas - represents a valuable and previously unexploited source of analyte for RNA-seq and NanoString platforms. This work provides an important step towards the use of such platforms to unlock novel molecular underpinnings and inform future biologically-driven clinical decisions.
Anais Brasileiros De Dermatologia | 2018
Ivana Lameiras Gibbons; Eduardo Bertolli; Clóvis Antônio Lopes Pinto; Marina Sonagli; Mariana Petaccia de Macedo; João Pedreira Duprat Neto
Diphencyprone has been reported as a local immunotherapy for cutaneous melanoma metastases. We aim to report cases of melanoma patients treated with diphencyprone in a single Brazilian institution and highlight their outcomes. Since 2012, we have treated 16 melanoma patients with cutaneous metastases with topical diphencyprone. To date, we have had 37.5% of complete response, 25% of partial responses, and 31.25% patients without any response. Treatment was well tolerated and local toxicity was easily controlled. We believe topical diphencyprone is a feasible treatment that can be another option for treating melanoma patients, especially in cases of in-transit or extensive disease.
OncoImmunology | 2017
Alexandre Reuben; Mariana Petaccia de Macedo; Jennifer L. McQuade; Aron Joon; Zhiyong Ren; Tiffany Calderone; Brandy Conner; Khalida Wani; Zachary A. Cooper; Hussein Tawbi; Michael T. Tetzlaff; Robert F. Padera; Jean Bernard Durand; Alexander J. Lazar; Jennifer A. Wargo; Michael A. Davies
ABSTRACT Autoimmune myocarditis is a rare but often fatal toxicity of checkpoint inhibitor immunotherapy. To improve the understanding of this complication, we performed immune profiling on post-mortem tissue from a patient with metastatic melanoma who had steroid-responsive hepatitis, steroid-refractory myocarditis, and shrinking lung metastases after ipilimumab treatment. Histological analysis of heart tissue demonstrated findings consistent with giant cell myocarditis (GCM). The immune infiltrate in the heart was largely comprised of CD4+ T cells, whereas the liver had very few T cells, and CD8+ T cells were predominant in the responding lung metastases. TCR sequencing identified high T cell clonality in the lung metastases. The TCR repertoire showed low clonality in the heart and minimal overlap with the liver (1.2%), but some overlap with lung metastases (9.9%). Transcriptional profiling identified several potential mediators of increased inflammation in the heart. These findings provide new insights into the pathogenesis of autoimmune myocarditis with ipilimumab.