Publications by authors named "Postow M"

Purpose: In CheckMate 204, nivolumab + ipilimumab showed high intracranial (IC) objective response rates (icORRs) in patients with melanoma brain metastases (MBMs). Using icORR as a surrogate for overall survival (OS) has prompted use of alternate response criteria. To set the stage for harmonized MBM trials, the aim of this exploratory analysis was to determine icORR using several response criteria and examine correlations of response with survival.

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Immunotherapy-related colitis (irC) frequently emerges as an immune-related adverse event during immune checkpoint inhibitor therapy and is presumably influenced by the gut microbiota. We longitudinally studied microbiomes from 38 ICI-treated cancer patients. We compared 13 ICI-treated subjects who developed irC against 25 ICI-treated subjects who remained irC-free, along with a validation cohort.

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Purpose: To investigate the predictive value of RECIST response within 3, 6, or 12 months on long-term survival, and explore differences between nivolumab+ipilimumab and nivolumab monotherapy, we analyzed pooled 5-year data of 935 responder and non-responder patients at various time points after treatment initiation in CheckMate 069, 066, and 067 studies.

Patients And Methods: Treatment-naive advanced melanoma patients received nivolumab+ipilimumab or nivolumab monotherapy. To decrease immortal time bias, 3-, 6-, or 12-month overall survival (OS) and progression-free survival (PFS) landmark analyses were performed.

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Article Synopsis
  • Nivolumab (NIVO) combined with ipilimumab (IPI) shows better long-term overall survival (OS) in patients with unresectable/metastatic melanoma than NIVO alone, based on pooled data from major trials.
  • Patients treated with the combination therapy had a median follow-up OS of 45.0 months, with 6-year survival rates at 52%, compared to 41% for NIVO monotherapy after a median follow-up of 35.8 months.
  • Clinical factors affecting survival include elevated lactate dehydrogenase (LDH) levels, age over 65 with the combination therapy, and presence of liver metastases with NIVO alone.
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Harrold et al. evaluate the fertility impact of checkpoint inhibitor blockade (ICB), demonstrating that unlike in utero exposure, post-exposure conception appears to result in uncomplicated pregnancies and healthy progeny. They demonstrate contemporaneous monitoring of temporal female hormonal fluctuations before, on, and post ICB exposure and prior to successful embryo implantation.

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Combinatorial immunotherapy may improve the efficacy of neoadjuvant checkpoint inhibitors in locoregionally advanced melanoma. In this issue of Cancer Cell, Davar and colleagues report a promising phase 2 neoadjuvant trial of the TLR9 agonist vidutolimod in combination with nivolumab. Analyses suggest a unique myeloid expression signature is associated with response.

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Article Synopsis
  • - Recent advancements in multiplexed tissue imaging are improving our understanding of tumor microenvironments, which could better inform treatment responses and disease progression studies.
  • - Despite its popularity, current analysis methods face challenges such as high computational demands and a lack of consistent strategies for understanding spatial features in images as diseases progress.
  • - The newly introduced spatial topic model effectively integrates cell type and spatial data, demonstrating strong performance in identifying significant spatial topics and tracking changes during disease progression, making it efficient for large-scale tissue imaging analyses.
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Background: Previous results from this trial showed longer overall survival after treatment with nivolumab plus ipilimumab or with nivolumab monotherapy than with ipilimumab monotherapy in patients with advanced melanoma. Given that patients with advanced melanoma are living longer than 7.5 years, longer-term data were needed to address new clinically relevant questions.

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The multiplexed immunofluorescence (mIF) platform enables biomarker discovery through the simultaneous detection of multiple markers on a single tissue slide, offering detailed insights into intratumor heterogeneity and the tumor-immune microenvironment at spatially resolved single cell resolution. However, current mIF image analyses are labor-intensive, requiring specialized pathology expertise which limits their scalability and clinical application. To address this challenge, we developed CellGate, a deep-learning (DL) computational pipeline that provides streamlined, end-to-end whole-slide mIF image analysis including nuclei detection, cell segmentation, cell classification, and combined immuno-phenotyping across stacked images.

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Background: Limited data exist for management strategies targeting immunotherapy-related enteritis (irEnteritis). Systemic corticosteroids are commonly used but often are limited by adverse events. Enteric corticosteroids such as budesonide offer an attractive alternative; however, the ileocolonic release of enteric-coated budesonide has limited utility for diffuse enteritis.

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Leptomeningeal disease (LMD) is a devastating complication of melanoma with a dismal prognosis. We present the case of a young man with stage IV BRAF V600E mutant melanoma with lung, lymph node, and brain metastases initially treated with ipilimumab and nivolumab, who subsequently developed LMD. Upon change to BRAF/MEK targeted therapy with nivolumab, a durable complete response was achieved and remains ongoing, off treatment, 7 years from diagnosis.

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While CD40 agonism is an attractive approach for activating antigen-presenting cells and initiating antitumor responses, previous attempts have encountered limited clinical efficacy coupled with toxicity. We previously demonstrated that interactions between the antibody Fc domain and the inhibitory receptor FcγRIIB are critical for enhanced antitumor activity. Here, we present the results of a phase 1 study on intratumoral administration of an anti-CD40 agonistic antibody (2141-V11) Fc-engineered to enhance FcγRIIB binding.

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In solid tumor oncology, circulating tumor DNA (ctDNA) is poised to transform care through accurate assessment of minimal residual disease (MRD) and therapeutic response monitoring. To overcome the sparsity of ctDNA fragments in low tumor fraction (TF) settings and increase MRD sensitivity, we previously leveraged genome-wide mutational integration through plasma whole-genome sequencing (WGS). Here we now introduce MRD-EDGE, a machine-learning-guided WGS ctDNA single-nucleotide variant (SNV) and copy-number variant (CNV) detection platform designed to increase signal enrichment.

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Melanoma has long been a difficult malignancy to treat with low response rates to standard chemotherapies. In recent years, the use of immune checkpoint inhibitors have demonstrated promising results, paving the way for the use of the rapidly developing novel immune targeting therapies. In this review, we look beyond immune checkpoint inhibitor treatments and summarize several emerging treatment strategies for melanoma, including neoantigen vaccines, conventional antibody drug-conjugates, and bispecific T-cell engager therapies.

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Purpose: The Adaptively Dosed ImmunoTherapy Trial (ADAPT-IT;NCT03122522) investigated adaptive ipilimumab discontinuation in melanoma based on early radiographic assessment. Initial findings indicated similar effectiveness compared with conventional nivolumab-ipilimumab (nivo-ipi). Exploratory biomarker analyses and final clinical results are now reported.

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Introduction: There is debate on which are the best surrogate endpoint and metric to capture treatment effect on overall survival (OS) in RCTs testing immune-checkpoint inhibitors (ICIs).

Methods: We systematically searched for RCTs testing ICIs in patients with advanced solid tumors. Inclusion criteria were: RCTs i) assessing PD-(L)1 and CTLA-4 inhibitors either as monotherapy or in combination with another ICI, and/or targeted therapy, and/or chemotherapy, in patients with advanced solid tumors; ii) randomizing at least 100 patients.

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Standard-of-care medical imaging techniques such as CT, MRI, and PET play a critical role in managing patients diagnosed with metastatic cutaneous melanoma. Advancements in artificial intelligence (AI) techniques, such as radiomics, machine learning, and deep learning, could revolutionize the use of medical imaging by enhancing individualized image-guided precision medicine approaches. In the present article, we will decipher how AI/radiomics could mine information from medical images, such as tumor volume, heterogeneity, and shape, to provide insights into cancer biology that can be leveraged by clinicians to improve patient care both in the clinic and in clinical trials.

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Purpose: Preclinical studies show that activation of AMP kinase by phenformin can augment the cytotoxic effect and RAF inhibitors in BRAF V600-mutated melanoma. We conducted a phase Ib dose-escalation trial of phenformin with standard dose dabrafenib/trametinib in patients with metastatic BRAF V600-mutated melanoma.

Experimental Design: We used a 3+3 dose-escalation design which explored phenformin doses between 50 and 200 mg twice daily.

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Background: Stool pathogen testing is recommended as part of the initial evaluation for patients with new-onset diarrhea on immune checkpoint inhibitors (ICIs), yet its significance has not been well-studied. We aimed to determine the impact of multiplex gastrointestinal (GI) pathogen PCR testing on the clinical course and use of immunosuppressive therapy in patients who develop diarrhea on ICIs.

Methods: This retrospective cohort included individuals who underwent GI pathogen panel PCR for diarrhea on ICIs at Memorial Sloan Kettering between 7/2015 and 7/2021.

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We present TopicFlow, a computational framework for flow cytometry data analysis of patient blood samples for the identification of functional and dynamic topics in circulating T cell population. This framework applies a Latent Dirichlet Allocation (LDA) model, adapting the concept of topic modeling in text mining to flow cytometry. To demonstrate the utility of our method, we conducted an analysis of ∼17 million T cells collected from 138 peripheral blood samples in 51 patients with melanoma undergoing treatment with immune checkpoint inhibitors (ICIs).

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Immune checkpoint inhibitor (ICI) therapies used to treat cancer, such as anti-PD-1 antibodies, can induce autoimmune conditions in some individuals. The T cell mechanisms mediating such iatrogenic autoimmunity and their overlap with spontaneous autoimmune diseases remain unclear. Here, we compared T cells from the joints of 20 patients with an inflammatory arthritis induced by ICI therapy (ICI-arthritis) with two archetypal autoimmune arthritides, rheumatoid arthritis (RA) and psoriatic arthritis (PsA).

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Purpose: Immune checkpoint inhibitor (ICI) therapy is often suspended because of immune-related enterocolitis (irEC). We examined the effect of resumption of ICIs with or without concurrent selective immunosuppressive therapy (SIT) on rates of symptom recurrence and survival outcomes.

Methods: This retrospective, multicenter study examined patients who were treated with ICI and developed irEC requiring SIT (infliximab or vedolizumab) for initial symptom control or to facilitate steroid tapering between May 2015 and June 2020.

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Background: Scant data describe exocrine pancreatic insufficiency (EPI) secondary to immune checkpoint inhibitor (ICI) use. The goal of this study is to describe the incidence, risk factors, and clinical characteristics of patients with ICI-related EPI.

Patients And Methods: A single center, retrospective case-control study was performed of all ICI-treated patients at Memorial Sloan Kettering Cancer Center between January 2011 and July 2020.

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Article Synopsis
  • Immune checkpoint inhibitors (ICIs) are effective cancer treatments but only work for some patients; understanding their immune mechanisms can help target the right individuals and improve treatments.
  • Researchers developed a novel statistical method using Latent Dirichlet Allocation (LDA) to analyze T cell populations from blood samples of melanoma patients undergoing ICI treatment, uncovering distinct immune cell states.
  • The study found three key T cell topics linked to patient outcomes: a T-cell exhaustion state associated with worse outcomes, a naive state linked to higher toxicity, and an immune activation state that appears with ICI treatment; this approach can enhance research on single-cell data for better clinical applications.
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