385O Automated detection of microsatellite status in early colon cancer (CC) using artificial intelligence (AI) integrated infrared (IR) imaging on unstained samples from the AIO ColoPredictPlus 2.0 (CPP) registry study

Großerüschkamp, Frederik; Schörner, Stephanie; Kraeft, A-L.; Schuhmacher, David; Sternemann, Christian; Feder, Inke Sabine; Wisser, Sarah; Lugnier, Céline; Overheu, Oliver; Arnold, Dirk; Teschendorf, Christian; Mueller, Lothar; Uhl, Waldemar; Timmesfeld, Nina; Mosig, Axel; Reinacher-Schick, A.; Gerwert, Klaus; Tannapfel, Andrea

doi:10.1016/j.annonc.2021.08.907

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“…AI integrated imaging has led to the identification of CRC on unstained tissue samples and subsequently to a dichotomic differential diagnosis between MSS and MSI status, even if with low specificity. Therefore, although AI imaging could represent an innovative approach to determine MSI status, larger studies are requested to further confirm these data [76].…”

Section: Radiomicsmentioning

confidence: 99%

Multi-Omic Approaches in Colorectal Cancer beyond Genomic Data

Sardo

Napolitano

Corte

et al. 2022

JPM

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Colorectal cancer (CRC) is one of the most frequent tumours and one of the major causes of morbidity and mortality globally. Its incidence has increased in recent years and could be linked to unhealthy dietary habits combined with environmental and hereditary factors, which can lead to genetic and epigenetic changes and induce tumour development. The model of CRC progression has always been based on a genomic, parametric, static and complex approach involving oncogenes and tumour suppressor genes. Recent advances in omics sciences have sought a paradigm shift to a multiparametric, immunological-stromal, and dynamic approach for a better understanding of carcinogenesis and tumour heterogeneity. In the present paper, we review the most important preclinical and clinical data and present recent discoveries in the field of transcriptomics, proteomics, metagenomics and radiomics in CRC disease.

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Section: Radiomicsmentioning

confidence: 99%