Cancer is characterized by uncontrolled cell growth that can affect almost any part of the body . According to recent statistics from the World Health Organization (WHO), cancer was responsible for nearly 10 million deaths in 2020 alone, making it one of the leading causes of death globally. Understanding the epidemiology, etiology, and implications of malignant tumors is crucial for developing effective prevention strategies and improving treatment outcomes.
Objective
To address this problem, the present undertaking aims to employ an integrated approach, leveraging the wealth of genetics, metabolomics, proteomics, and comprehensive epidemiological data. Through multidimensional analyses, we aim to discover new risk factors, identify potential biomarkers, and precise method to find the pathogenesis and treatment of cancer
Scientific rationale
Probing circulating proteins provides unique opportunities to uncover novel biomarkers and improve our understanding of etiology of those diseases. Similarly, blood metabolome is considered as important readouts of aggregated information from genetic factors, gene expression to protein abundance, as well as external environmental factors. To accomplish this, we will combine multi-omics (i.e., proteomics and metabolomics) and epidemiological data to discover novel risk factors, biomarkers and provide definitive evidence for different cancers reported by traditional observational studies. Our endeavor will encompass the analysis of multi-omics and epidemiological information, enabling us to unravel new risk factors, identify potential biomarkers, and comprehend the intricate web of causal relationships of all kinds of cancers.
