Nature Communications (Sep 2022)
In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response
- Aditi Sahu,
- Kivanc Kose,
- Lukas Kraehenbuehl,
- Candice Byers,
- Aliya Holland,
- Teguru Tembo,
- Anthony Santella,
- Anabel Alfonso,
- Madison Li,
- Miguel Cordova,
- Melissa Gill,
- Christi Fox,
- Salvador Gonzalez,
- Piyush Kumar,
- Amber Weiching Wang,
- Nicholas Kurtansky,
- Pratik Chandrani,
- Shen Yin,
- Paras Mehta,
- Cristian Navarrete-Dechent,
- Gary Peterson,
- Kimeil King,
- Stephen Dusza,
- Ning Yang,
- Shuaitong Liu,
- William Phillips,
- Pascale Guitera,
- Anthony Rossi,
- Allan Halpern,
- Liang Deng,
- Melissa Pulitzer,
- Ashfaq Marghoob,
- Chih-Shan Jason Chen,
- Taha Merghoub,
- Milind Rajadhyaksha
Affiliations
- Aditi Sahu
- Memorial Sloan Kettering Cancer Center
- Kivanc Kose
- Memorial Sloan Kettering Cancer Center
- Lukas Kraehenbuehl
- Parker Institute for Cancer Immunotherapy, Ludwig Collaborative and Swim Across America Laboratory, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
- Candice Byers
- Roux Institute, Northeastern University
- Aliya Holland
- Parker Institute for Cancer Immunotherapy, Ludwig Collaborative and Swim Across America Laboratory, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
- Teguru Tembo
- Memorial Sloan Kettering Cancer Center
- Anthony Santella
- Memorial Sloan Kettering Cancer Center
- Anabel Alfonso
- Memorial Sloan Kettering Cancer Center
- Madison Li
- Memorial Sloan Kettering Cancer Center
- Miguel Cordova
- Memorial Sloan Kettering Cancer Center
- Melissa Gill
- SUNY Downstate Health Sciences University
- Christi Fox
- Caliber Imaging and Diagnostics
- Salvador Gonzalez
- Faculty of Medicine and Health Sciences, University of Alcala
- Piyush Kumar
- Icahn School of Medicine at Mount Sinai
- Amber Weiching Wang
- ORIC Pharmaceuticals
- Nicholas Kurtansky
- Memorial Sloan Kettering Cancer Center
- Pratik Chandrani
- Tata Memorial Hospital
- Shen Yin
- Memorial Sloan Kettering Cancer Center
- Paras Mehta
- Memorial Sloan Kettering Cancer Center
- Cristian Navarrete-Dechent
- Memorial Sloan Kettering Cancer Center
- Gary Peterson
- Memorial Sloan Kettering Cancer Center
- Kimeil King
- Memorial Sloan Kettering Cancer Center
- Stephen Dusza
- Memorial Sloan Kettering Cancer Center
- Ning Yang
- Memorial Sloan Kettering Cancer Center
- Shuaitong Liu
- Memorial Sloan Kettering Cancer Center
- William Phillips
- Memorial Sloan Kettering Cancer Center
- Pascale Guitera
- Sydney Melanoma Diagnostic Center
- Anthony Rossi
- Memorial Sloan Kettering Cancer Center
- Allan Halpern
- Memorial Sloan Kettering Cancer Center
- Liang Deng
- Memorial Sloan Kettering Cancer Center
- Melissa Pulitzer
- Memorial Sloan Kettering Cancer Center
- Ashfaq Marghoob
- Memorial Sloan Kettering Cancer Center
- Chih-Shan Jason Chen
- Memorial Sloan Kettering Cancer Center
- Taha Merghoub
- Memorial Sloan Kettering Cancer Center
- Milind Rajadhyaksha
- Memorial Sloan Kettering Cancer Center
- DOI
- https://doi.org/10.1038/s41467-022-32738-7
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 19
Abstract
Standard assessment of immune infiltration of biopsies is not sufficient to accurately predict response to immunotherapy. Here, the authors show that reflectance confocal microscopy can be used to quantify dynamic vasculature and inflammatory features to better predict treatment response in skin cancers.