In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response

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dc.contributor.authorSahu, Aditi
dc.contributor.authorKose, Kivanc
dc.contributor.authorKraehenbuehl, Lukas
dc.contributor.authorByers, Candice
dc.contributor.authorHolland, Aliya
dc.contributor.authorTembo, Teguru
dc.contributor.authorSantella, Anthony
dc.contributor.authorAlfonso, Anabel
dc.contributor.authorLi, Madison
dc.contributor.authorCordova, Miguel
dc.contributor.authorGill, Melissa
dc.contributor.authorFox, Christi
dc.contributor.authorGonzalez, Salvador
dc.contributor.authorKumar, Piyush
dc.contributor.authorWang, Amber Weiching
dc.contributor.authorKurtansky, Nicholas
dc.contributor.authorChandrani, Pratik
dc.contributor.authorYin, Shen
dc.contributor.authorMehta, Paras
dc.contributor.authorNavarrete-Dechent, Cristian
dc.contributor.authorPeterson, Gary
dc.contributor.authorKing, Kimeil
dc.contributor.authorDusza, Stephen
dc.contributor.authorYang, Ning
dc.contributor.authorLiu, Shuaitong
dc.contributor.authorPhillips, William
dc.contributor.authorGuitera, Pascale
dc.contributor.authorRossi, Anthony
dc.contributor.authorHalpern, Allan
dc.contributor.authorDeng, Liang
dc.contributor.authorPulitzer, Melissa
dc.contributor.authorMarghoob, Ashfaq
dc.contributor.authorChen, Chih-Shan Jason
dc.contributor.authorMerghoub, Taha
dc.contributor.authorRajadhyaksha, Milind
dc.date.accessioned2025-01-20T21:02:40Z
dc.date.available2025-01-20T21:02:40Z
dc.date.issued2022
dc.description.abstractResponse to immunotherapies can be variable and unpredictable. Pathology-based phenotyping of tumors into 'hot' and 'cold' is static, relying solely on T-cell infiltration in single-time single-site biopsies, resulting in suboptimal treatment response prediction. Dynamic vascular events (tumor angiogenesis, leukocyte trafficking) within tumor immune microenvironment (TiME) also influence anti-tumor immunity and treatment response. Here, we report dynamic cellular-level TiME phenotyping in vivo that combines inflammation profiles with vascular features through non-invasive reflectance confocal microscopic imaging. In skin cancer patients, we demonstrate three main TiME phenotypes that correlate with gene and protein expression, and response to toll-like receptor agonist immune-therapy. Notably, phenotypes with high inflammation associate with immunostimulatory signatures and those with high vasculature with angiogenic and endothelial anergy signatures. Moreover, phenotypes with high inflammation and low vasculature demonstrate the best treatment response. This non-invasive in vivo phenotyping approach integrating dynamic vasculature with inflammation serves as a reliable predictor of response to topical immune-therapy in patients.
dc.description.abstractStandard 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.
dc.fuente.origenWOS
dc.identifier.doi10.1038/s41467-022-32738-7
dc.identifier.eissn2041-1723
dc.identifier.urihttps://doi.org/10.1038/s41467-022-32738-7
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93068
dc.identifier.wosidWOS:000853200800009
dc.issue.numero1
dc.language.isoen
dc.revistaNature communications
dc.rightsacceso restringido
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleIn vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response
dc.typeartículo
dc.volumen13
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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