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Featured researches published by Una Moran.


Journal of Translational Medicine | 2018

Baseline antibody profiles predict toxicity in melanoma patients treated with immune checkpoint inhibitors

Michael Gowen; Keith M. Giles; Danny Simpson; Jeremy Tchack; Hua Zhou; Una Moran; Zarmeena Dawood; Anna C. Pavlick; Shaohui Hu; Melissa Wilson; Hua Zhong; Michelle Krogsgaard; Tomas Kirchhoff; Iman Osman

BackgroundImmune checkpoint inhibitors (anti-CTLA-4, anti-PD-1, or the combination) enhance anti-tumor immune responses, yielding durable clinical benefit in several cancer types, including melanoma. However, a subset of patients experience immune-related adverse events (irAEs), which can be severe and result in treatment termination. To date, no biomarker exists that can predict development of irAEs.MethodsWe hypothesized that pre-treatment antibody profiles identify a subset of patients who possess a sub-clinical autoimmune phenotype that predisposes them to develop severe irAEs following immune system disinhibition. Using a HuProt human proteome array, we profiled baseline antibody levels in sera from melanoma patients treated with anti-CTLA-4, anti-PD-1, or the combination, and used support vector machine models to identify pre-treatment antibody signatures that predict irAE development.ResultsWe identified distinct pre-treatment serum antibody profiles associated with severe irAEs for each therapy group. Support vector machine classifier models identified antibody signatures that could effectively discriminate between toxicity groups with > 90% accuracy, sensitivity, and specificity. Pathway analyses revealed significant enrichment of antibody targets associated with immunity/autoimmunity, including TNFα signaling, toll-like receptor signaling and microRNA biogenesis.ConclusionsOur results provide the first evidence supporting a predisposition to develop severe irAEs upon immune system disinhibition, which requires further independent validation in a clinical trial setting.


Journal of the National Cancer Institute | 2018

Primary Melanoma Histologic Subtype: Impact on Survival and Response to Therapy

Michael Lattanzi; Yesung Lee; Danny Simpson; Una Moran; Farbod Darvishian; Randie H Kim; Eva Hernando; David Polsky; Doug Hanniford; Richard L. Shapiro; Russell S. Berman; Anna C. Pavlick; Melissa Wilson; Tomas Kirchhoff; Jeffrey S. Weber; Judy Zhong; Iman Osman

BACKGROUND Two primary histologic subtypes, superficial spreading melanoma (SSM) and nodular melanoma (NM), comprise the majority of all cutaneous melanomas. NM is associated with worse outcomes, which have been attributed to increased thickness at presentation, and it is widely expected that NM and SSM would exhibit similar behavior once metastasized. Herein, we tested the hypothesis that primary histologic subtype is an independent predictor of survival and may impact response to treatment in the metastatic setting. METHODS We examined the most recent Surveillance, Epidemiology, and End Results (SEER) cohort (n = 118 508) and the New York University (NYU) cohort (n = 1621) with available protocol-driven follow-up. Outcomes specified by primary histology were studied in both the primary and metastatic settings with respect to BRAF-targeted therapy and immunotherapy. We characterized known driver mutations and examined a 140-gene panel in a subset of NM and SSM cases using next-generation sequencing. All statistical tests were two-sided. RESULTS NM was an independent risk factor for death in both the SEER (hazard ratio [HR] = 1.55, 95% confidence interval [CI] = 1.41 to 1.70, P < .001) and NYU (HR = 1.47, 95% CI = 1.05, 2.07, P = .03) cohorts, controlling for thickness, ulceration, stage, and other variables. In the metastatic setting, NM remained an independent risk factor for death upon treatment with BRAF-targeted therapy (HR = 3.33, 95% CI = 1.06 to 10.47, P = .04) but showed no statistically significant difference with immune checkpoint inhibition. NM was associated with a higher rate of NRAS mutation (P < .001), and high-throughput sequencing revealed NM-specific genomic alterations in NOTCH4, ANK3, and ZNF560, which were independently validated. CONCLUSIONS Our data reveal distinct clinical and biological differences between NM and SSM that support revisiting the prognostic and predictive impact of primary histology subtype in the management of cutaneous melanoma.


Oncology | 2017

Outcomes in Melanoma Patients Treated with BRAF/MEK-Directed Therapy or Immune Checkpoint Inhibition Stratified by Clinical Trial versus Standard of Care

Chloe Goldman; Jeremy Tchack; Eric Michael Robinson; Sung Won Han; Una Moran; David Polsky; Russell S. Berman; Richard L. Shapiro; Patrick A. Ott; Iman Osman; Hua Zhong; Anna C. Pavlick; Melissa Wilson

Objectives: Since 2011, metastatic melanoma treatment has evolved with commercial approval of BRAF- and MEK-targeted therapy and CTLA-4- and PD-1-blocking antibodies (immune checkpoint inhibitors, ICI). While novel therapies have demonstrated improved prognosis in clinical trials, few studies have examined the evolution of prognosis and toxicity of these drugs among an unselected population. We assess whether survival and toxicity reported in trials, which typically exclude most patients with brain metastases and poor performance status, are recapitulated within a commercial access population. Methods: 182 patients diagnosed with stage IV melanoma from July 2006 to December 2013 and treated with BRAF- and/or MEK-targeted therapy or ICI were prospectively studied. Outcomes and clinicopathologic differences between trial and commercial cohorts were assessed. Results: Patients receiving commercial therapy (vs. on trial) had poorer prognostic features (i.e., brain metastases) and lower median overall survival (mOS) when assessed across all treatments (9.2 vs. 17.5 months, p = 0.0027). While toxicity within trial and commercial cohorts did not differ, patients who experienced toxicity had increased mOS (p < 0.001), irrespective of stratification by trial status or therapy. Conclusion: Metastatic melanoma patients receiving commercial treatment may represent a different clinical population with poor prognostic features compared to trial patients. Toxicity may prognosticate treatment benefit.


Journal of Clinical Oncology | 2017

Predictive biomarkers of ipilimumab toxicity in metastatic melanoma.

Michael Gowen; Jeremy Tchack; Hua Zhou; Keith M. Giles; Scott Paschke; Una Moran; David Fenyö; Aristotelis Tsirigos; Michael Pacold; Anna C. Pavlick; Michelle Krogsgaard; Iman Osman


Journal of Clinical Oncology | 2017

Mutation burden as a potential prognostic marker of melanoma progression and survival.

Danny Simpson; Robert Ferguson; Carlos N Martinez; Esther Kazlow; Una Moran; Adriana Heguy; Douglas Hanniford; Eva Hernando; Iman Osman; Tomas Kirchhoff


Journal of The American College of Surgeons | 2018

Metastasectomy for Malignant Melanoma is Associated with Improved Overall Survival in Responders to Targeted Molecular or Immunotherapy

Benjamin Medina; Beatrix Hyemin Choi; Kathy G. Rodogiannis; Una Moran; Richard L. Shapiro; Hersch L. Pachter; Anna C. Pavlick; Iman Osman; Russell S. Berman; Ann Y. Lee


Journal of Clinical Oncology | 2018

Association of increased somatic mutations in metastatic melanoma patients with clinical outcome.

Todd Wechter; Natasha Masub; Yesung Lee; Una Moran; Jeffrey S. Weber; Anna C. Pavlick; Judy Zhong; Iman Osman; Melissa Wilson


Journal of Clinical Oncology | 2018

Autoimmune genetic variants as germline biomarkers of response in melanoma immunotherapy treatment.

Vylyny Chat; Robert Ferguson; Danny Simpson; Esther Kazlow; Rebecca Lax; Una Moran; Melissa Wilson; Anna C. Pavlick; Ryan J. Sullivan; Keith T. Flaherty; Iman Osman; Jeffrey S. Weber; Tomas Kirchhoff


Journal of Clinical Oncology | 2018

Prediction of response and toxicity to immune checkpoint inhibitor therapies (ICI) in melanoma using deep neural networks machine learning.

Zarmeena Dawood; Nicolas Coudray; Randie H Kim; Sofia Nomikou; Una Moran; Jeffrey S. Weber; Anna C. Pavlick; Melissa Wilson; Aristotelis Tsirigos; Iman Osman


Journal of Clinical Oncology | 2018

Bone metastasis to predict treatment response rate and overall survival of patients with metastatic melanoma.

Yesung Lee; Natasha Masub; Todd Wechter; Judy Zhong; Una Moran; Farbod Darvishian; David Polsky; Russell S. Berman; Richard L. Shapiro; Jeffrey S. Weber; Iman Osman; Anna C. Pavlick; Melissa Wilson

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