EarlyDetect: Development of tool for early detection of stomach adenocarcinoma based on blood-lipid profile as clinicopathological feature

ABSTRACT Background Clinicopathological features are used for detection of diseases. Early detection of cancer can be significance for understanding the behavior of disease. Results We developed a tool to observe stomach adenocarcinoma in reference of blood-lipid profile. Background of the tool is based on the study made on RNAseq expression analysis of stomach adenocarcinoma. Raw data for study was collected as gene-expression profile from population of cancer-vs-normal. A series of studies performed including: differential gene expression analysis, plasma proteome mapping, extraction of gene-signature enriched with LSTM system model, AI-guided simulation of systems model of gene network, and AI-guided mapping with blood lipid profile to develop R-Shiny web-application. Conclusion ‘EarlyDetect’ is freely available at https://csir-icmr.shinyapps.io/EarlyDetect/ . The tool can be utilized for (i) virtual observation of impact of different combinations of lipid profile in cancer progression; (ii) early detection of cancer state for new comer patients.