A5060311157- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immune cells in cancer
- Cytokine Signaling Pathways and Interactions
- Melanoma and MAPK Pathways
- CRISPR and Genetic Engineering
- Immunotherapy and Immune Responses
- Bayesian Methods and Mixture Models
- Cancer Research and Treatments
- Single-cell and spatial transcriptomics
- Immune Cell Function and Interaction
- Gene expression and cancer classification
- Hippo pathway signaling and YAP/TAZ
- PI3K/AKT/mTOR signaling in cancer
- Cell Image Analysis Techniques
- Music and Audio Processing
- Virus-based gene therapy research
- Viral Infectious Diseases and Gene Expression in Insects
- Inflammatory Biomarkers in Disease Prognosis
- Machine Learning in Bioinformatics
- Lymphoma Diagnosis and Treatment
- Statistical Methods and Inference
- Advanced Image and Video Retrieval Techniques
- Cancer Cells and Metastasis
- Anomaly Detection Techniques and Applications
Massachusetts General Hospital
2014-2025
Harvard University
2015-2025
Flagship Pioneering (United States)
2023
Novartis (United States)
2018-2022
University of Pennsylvania
2017-2021
Novartis (Switzerland)
2017
Novartis Institutes for BioMedical Research
2017
Duke University
2007-2013
Patients with diffuse large B-cell lymphoma or follicular that is refractory to relapses after immunochemotherapy and transplantation have a poor prognosis. High response rates been reported the use of T cells modified by chimeric antigen receptor (CAR) target CD19 in cancers, although data regarding lymphomas are limited.We used autologous express CD19-directed CAR (CTL019) treat patients had relapsed was previous treatments. were monitored for treatment, toxic effects, expansion...
BACKGROUND. CAR T cells are a promising therapy for hematologic malignancies. B cell maturation antigen (BCMA) is rational target in multiple myeloma (MM).
Abstract Despite the increasing interest in targeting stromal elements of tumor microenvironment, we still face tremendous challenges developing adequate therapeutics to modify landscape. A major obstacle this is our poor understanding phenotypic and functional heterogeneity cells tumors. Herein, perform an unbiased interrogation mesenchymal cells, delineating co-existence distinct subsets cancer-associated fibroblasts (CAFs) microenvironment murine carcinomas, each endowed with unique...
Abstract The anti-CD19 chimeric antigen receptor (CAR)–T cell therapy tisagenlecleucel was evaluated in the global, phase 2 JULIET study adult patients with relapsed/refractory diffuse large B-cell lymphoma (DLBCL). We correlated cellular kinetics clinical/product parameters 111 treated JULIET. Tisagenlecleucel persistence responders and nonresponders, respectively, demonstrated for 554 400 days maximum by flow cytometry 693 374 quantitative polymerase chain reaction (qPCR). No relationships...
Abstract High levels of IL1β can result in chronic inflammation, which turn promote tumor growth and metastasis. Inhibition could therefore be a promising therapeutic option the treatment cancer. Here, effects blockade induced by mAbs canakinumab gevokizumab were evaluated alone or combination with docetaxel, anti–programmed cell death protein 1 (anti–PD-1), anti-VEGFα, anti-TGFβ syngeneic humanized mouse models cancers different origin. Canakinumab did not show notable efficacy as...
Abstract Genotype-informed anticancer therapies such as BRAF inhibitors can show remarkable clinical efficacy in BRAF-mutant melanoma; however, drug resistance poses a major hurdle to successful cancer treatment. Many events targeted have been identified, suggesting complex path improve therapeutics. Here, we showed the utility of piggyBac transposon activation mutagenesis screen for efficient identification genes that are resistant inhibition melanoma. Although several forward genetic...
We address the problem of unusual-event detection in a video sequence. Invariant subspace analysis (ISA) is used to extract features from video, and time-evolving properties these are modeled via an infinite hidden Markov model (iHMM), which trained using ldquonormalrdquo/ldquotypicalrdquo video. The iHMM retains full posterior density function on all parameters, including number underlying HMM states. Anomalies (unusual events) detected subsequently if low likelihood observed when...
A newer generation of anti-cancer drugs targeting underlying somatic genetic driver events have resulted in high single-agent or single-pathway response rates selected patients, but few patients achieve complete responses and a sizeable fraction relapse within year. Thus, there is pressing need for identification combinations targeted agents which induce more prevent disease progression. We describe the results combination screen an unprecedented scale mammalian cells performed using...
We consider the problem of inferring and modeling topics in a sequence documents with known publication dates. The at given time are each characterized by topic drawn from mixture model. proposed model infers change weights as function time. details this general framework may take different forms, depending on specifics For examples considered here, we examine base measures based independent multinomial-Dirichlet for representation topic-dependent word counts. form hierarchical allows...
Advances in reporters for gene expression have made it possible to document and quantify patterns 2D–4D. In contrast microarrays, which provide data many genes but averaged and/or at low resolution, images reveal the high spatial dynamics of expression. Developing computational methods compare, annotate, model based on is imperative, considering that available are rapidly increasing. We developed a sparse Bayesian factor analysis observed diversity among large set high-dimensional modeled by...
Abstract Motivation: Computational approaches for the annotation of phenotypes from image data have shown promising results across many applications, and provide rich valuable information studying gene function interactions. While are often available both at high spatial resolution multiple time points, frequently annotated independently, individual points only. In particular, analysis developmental expression patterns, it is biologically sensible when images jointly accounted for, such that...
<div>Abstract<p>High levels of IL-1β can result in chronic inflammation, which turn promote tumor growth and metastasis. Inhibition could therefore be a promising therapeutic option the treatment cancer. Here, effects blockade induced by monoclonal antibodies canakinumab gevokizumab were evaluated alone or combination with docetaxel, anti-PD-1, anti-VEGFα anti-TGFβ syngeneic humanized mouse models cancers different origin. Canakinumab did not show notable efficacy as single-agent...
<title>Abstract</title> Genotype-informed anticancer therapies such as BRAF inhibitors can show remarkable clinical efficacy in BRAF-mutant melanoma; however, drug resistance poses a major hurdle to successful cancer treatment. Many events targeted have been identified, suggesting complex path improve therapeutics. Here, we showed the utility of a<italic> piggyBac</italic> transposon activation mutagenesis screen for efficient identification genes that are resistant inhibition melanoma....
We address the problem of unusual-event detection in a video sequence. Invariant subspace analysis (ISA) is used to extract features from video, and time-evolving properties these are modeled via an infinite hidden Markov model (iHMM), which trained using "normal"/"typical" data. The iHMM automatically determines proper number HMM states, it retains full posterior density function on all parameters. Anomalies (unusual events) detected subsequently if low likelihood observed when associated...