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.