High-Plex and High-throughput Digital Spatial Profiling of non-small-cell lung cancer (NSCLC) [article]

James Monkman, Touraj Taheri, Majid Ebrahimi Warkiani, Connor Oleary, Rahul Ladwa, Derek Richard, Ken O'Byrne, Arutha Kulasinghe
2020 medRxiv   pre-print
Profiling the tumour microenvironment(TME) has been informative in understanding the underlying tumour-immune interactions. Multiplex immunohistochemistry(mIHC) coupled with molecular barcoding technologies have revealed greater insights into the TME. In this study, we utilised the Nanostring GeoMX Digital Spatial Profiler (DSP) platform to profile a NSCLC tissue microarray for protein markers across immune cell profiling, immuno-oncology(IO) drug target, immune activation status, immune cell
more » ... ping, and pan-tumour protein modules. Regions of interest(ROIs) were selected that described tumour, TME and normal adjacent tissue(NAT) compartments. Our data revealed that paired analysis (n=18) of patient matched compartments indicated that the TME was significantly enriched in CD27, CD3, CD4, CD44, CD45, CD45RO, CD68, CD163, and VISTA relative to tumour. Unmatched analysis indicated that the NAT(n=19) was significantly enriched in CD34, fibronectin, IDO1, LAG3, ARG1 and PTEN when compared to the TME(n=32). Univariate Cox proportional hazards indicated that the presence of cells expressing CD3(HR:0.5, p=0.018), CD34(HR:0.53, p=0.004) and ICOS (HR:0.6, p=0.047) in tumour compartments were significantly associated with improved overall survival(OS). We implemented both high-plex and high-throughput methodologies to the discovery of protein biomarkers and molecular phenotypes within biopsy samples and demonstrate the power of such tools for a new generation of pathology research.
doi:10.1101/2020.07.22.20160325 fatcat:wwjb5dqhind2xp7wv4tdkejmtu