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Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Updated: Sep 13, 2025

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Multi-omics perspectives for gastrointestinal malignancy: A systematic review.

Thai-Hau Koo¹, Yi-Lin Lee², Xue-Bin Leong²

¹Department of Internal Medicine, University Sains Malaysia Specialist Hospital, Kubang Kerian 16150, Kelantan, Malaysia.

World Journal of Gastrointestinal Surgery

|July 31, 2025

Summary

This summary is machine-generated.

Multi-omics approaches significantly improve early detection and personalized treatment for gastrointestinal cancers. Integrating genomic, proteomic, and microbiome data with AI enhances diagnostic accuracy and therapeutic strategies for better patient outcomes.

Keywords:

Biomarker discovery Gastrointestinal malignancy Multi-omics Precision oncology Proteomic Therapeutic resistance

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Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

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Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

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Published on: January 22, 2018

Area of Science:

Oncology
Bioinformatics
Genomics

Background:

Gastrointestinal (GI) malignancies are leading causes of cancer mortality worldwide.
Early detection and personalized treatment for GI cancers remain clinical challenges.
Multi-omics approaches offer advanced tools for precision oncology in GI cancers.

Purpose of the Study:

To investigate multi-omics applications in GI cancer early detection, risk stratification, and treatment optimization.
To explore multi-omics for biomarker discovery in GI malignancies.
To review the integration of multi-omics data for personalized oncology.

Main Methods:

Systematic review following PRISMA 2020 guidelines.
Searched five databases (PubMed, ScienceDirect, Scopus, ProQuest, Web of Science) for studies from 2015 onwards.
Included human subject studies on multi-omics integration in GI cancers, AI, and organoid modeling.

Main Results:

Multi-omics platforms outperform traditional biomarkers for early GI cancer detection.
Identified circulating tumor DNA, extracellular vesicles, and AI algorithms for enhanced diagnostics.
Revealed insights into immune modulation, tumor microenvironment, metastasis, and drug resistance.

Conclusions:

Multi-omics approaches significantly advance early diagnosis and personalized treatment of GI malignancies.
Integration with AI, organoid models, and microbiota profiling drives precision oncology.
Multi-omics data facilitates improved prognostic evaluation and therapeutic strategies.