임수빈 (Su Bin Lim) National University of Singapore
CV (199.67 KB)
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npj Precision Onc., Published 22 May 2019 | DOI https://doi.org/10.1038/s41698-019-0087-0
Pan-cancer analysis connects tumor matrisome to immune response
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Abstract

Recent sequencing efforts unveil genomic landscapes of tumor microenvironment. A key compartment in this niche is the extracellular matrix (ECM) and its related components – matrisome. Yet, little is known about the extent to which matrisome pattern is conserved in progressive tumors across diverse cancer types. Using integrative genomic approaches, we conducted multi-platform assessment of a measure of deregulated matrisome associated with tumor progression, termed as tumor matrisome index (TMI), in over 30,000 patient-derived samples. Combined quantitative analyses of genomics and proteomics reveal that TMI is closely associated with mutational load, tumor pathology, and predicts survival across different malignancies. Interestingly, we observed an enrichment of specific tumor-infiltrating immune cell populations, along with signatures predictive of resistance to immune checkpoint blockade immunotherapy, and clinically targetable immune checkpoints in TMIhigh tumors. B7-H3 emerged as a particularly promising target for anti-tumor immunity in these tumors. Here, we show that matrisomal abnormalities could represent a potential clinically useful biomarker for prognostication and prediction of immunotherapy response.

Category: Cancer Biology/Oncology, Genomics
추천자 : Faculty of 1000 Biology
Pihlajaniemi T and Izzi V: F1000Prime Recommendation of [Bin Lim S et al., npj Precision Onc 2019 3:15]. In F1000Prime, 15 Oct 2019; 10.3410/f.735835068.793565999
등록일 2019.10.17
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