A5044460735- Cancer Immunotherapy and Biomarkers
- Epigenetics and DNA Methylation
- Cancer Research and Treatments
- Cancer Cells and Metastasis
- Single-cell and spatial transcriptomics
- Immune cells in cancer
- Lung Cancer Research Studies
- Cardiac Arrest and Resuscitation
- AI in cancer detection
- Mechanical Circulatory Support Devices
- Cardiac Structural Anomalies and Repair
- Radiomics and Machine Learning in Medical Imaging
- Advanced MEMS and NEMS Technologies
- Bladder and Urothelial Cancer Treatments
- Advanced Sensor and Energy Harvesting Materials
- Cancer, Stress, Anesthesia, and Immune Response
- Advanced battery technologies research
- Acoustic Wave Resonator Technologies
- Supercapacitor Materials and Fabrication
- Global Cancer Incidence and Screening
- Mechanical and Optical Resonators
Icahn School of Medicine at Mount Sinai
2022-2024
East Tennessee State University
2024
Royal Prince Alfred Hospital
2022
University of British Columbia
2021
Abstract It is currently accepted that cancer-associated fibroblasts (CAF) participate in T-cell exclusion from tumor nests. To unbiasedly test this, we used single-cell RNA sequencing coupled with multiplex imaging on a large cohort of lung tumors. We identified four main CAF populations, two which are associated exclusion: (i) MYH11+αSMA+ CAF, present early-stage tumors and form single cell layer lining cancer aggregates, (ii) FAP+αSMA+ appear more advanced organize patches within the...
Abstract A cell that can operate even when doubled in length, and withstands washing is demonstrated. The employs rechargeable safe zinc/manganese dioxide chemistry. It incorporates a biocompatible poly(styrene – isobutylene styrene) (SIBS) polymer as encapsulation, all layers. SIBS‐based separator, made using solvent evaporation‐induced phase separation, has an ionic conductivity of 0.05 S m −1 . Electrodes contain carbon black, combined with active particles SIBS the binder. Stretchable...
This investigation explores the potential efficacy of machine learning algorithms (MLAs), particularly convolutional neural networks (CNNs), in distinguishing between benign and malignant breast cancer tissue through analysis 1000 images gathered from Kaggle.com, a domain publicly accessible data. The dataset was meticulously partitioned into training, validation, testing sets to facilitate model development evaluation. Our results reveal promising outcomes, with developed achieving notable...
SUMMARY It is currently accepted that activated cancer-associated fibroblasts (CAF) participate in T cell exclusion from tumor nests, but it remains unclear how they promote barrier phenotypes, and whether specific subsets are involved. Here, using single-cell RNA sequencing coupled with multiplex imaging on a large cohort of lung tumors, we identify four main CAF populations, which only two associated exclusion: (i) MYH11 + αSMA CAF, present early-stage tumors form layer lining cancer...
Abstract The majority of patients with bladder cancer initially present non-muscle-invasive disease (NMIBC). While NMIBC may be cured transurethral resection +/- intravesical therapies, approximately 20% develop progression to muscle-invasive (MIBC) which requires life-altering treatments such as cystectomy and has a high risk lethal metastatic recurrence. Current stratification for relies on clinicopathologic features that overlook the potential role tumor microenvironment (TME) in...
<div>Abstract<p>It is currently accepted that cancer-associated fibroblasts (CAF) participate in T-cell exclusion from tumor nests. To unbiasedly test this, we used single-cell RNA sequencing coupled with multiplex imaging on a large cohort of lung tumors. We identified four main CAF populations, two which are associated exclusion: (i) MYH11<sup>+</sup>αSMA<sup>+</sup> CAF, present early-stage tumors and form single cell layer lining cancer aggregates,...
<div>Abstract<p>It is currently accepted that cancer-associated fibroblasts (CAF) participate in T-cell exclusion from tumor nests. To unbiasedly test this, we used single-cell RNA sequencing coupled with multiplex imaging on a large cohort of lung tumors. We identified four main CAF populations, two which are associated exclusion: (i) MYH11<sup>+</sup>αSMA<sup>+</sup> CAF, present early-stage tumors and form single cell layer lining cancer aggregates,...
Supplementary Figure from Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung Tumors