The burgeoning spatial multi-omics in human gastrointestinal cancers

• Published in: PeerJ (San Francisco, CA) Vol. 12; p. e17860
• Main Authors: Liang, Weizheng, Zhu, Zhenpeng, Xu, Dandan, Wang, Peng, Guo, Fei, Xiao, Haoshan, Hou, Chenyang, Xue, Jun, Zhi, Xuejun, Ran, Rensen
• Format: Journal Article
• Language: English
• Published: United States PeerJ Inc 13.09.2024
• Subjects: Biotechnology; Esophageal cancer; Gastric cancer and colorectal cancer; Gastroenterology and Hepatology; Gastrointestinal Neoplasms - genetics; Gastrointestinal Neoplasms - metabolism; Gastrointestinal Neoplasms - pathology; Genomics; Genomics - methods; Humans; Metabolomics; Multiomics; Oncology; Proteomics; Spatial metabolomics; Spatial proteomics; Spatial transcriptomics; Transcriptome; Tumor Microenvironment; Gastric cancer and colorectal cancer; Spatial proteomics; Spatial transcriptomics; Spatial metabolomics; Esophageal cancer
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.17860

The development and progression of diseases in multicellular organisms unfold within the intricate three-dimensional body environment. Thus, to comprehensively understand the molecular mechanisms governing individual development and disease progression, precise acquisition of biological data, including genome, transcriptome, proteome, metabolome, and epigenome, with single-cell resolution and spatial information within the body's three-dimensional context, is essential. This foundational information serves as the basis for deciphering cellular and molecular mechanisms. Although single-cell multi-omics technology can provide biological information such as genome, transcriptome, proteome, metabolome, and epigenome with single-cell resolution, the sample preparation process leads to the loss of spatial information. Spatial multi-omics technology, however, facilitates the characterization of biological data, such as genome, transcriptome, proteome, metabolome, and epigenome in tissue samples, while retaining their spatial context. Consequently, these techniques significantly enhance our understanding of individual development and disease pathology. Currently, spatial multi-omics technology has played a vital role in elucidating various processes in tumor biology, including tumor occurrence, development, and metastasis, particularly in the realms of tumor immunity and the heterogeneity of the tumor microenvironment. Therefore, this article provides a comprehensive overview of spatial transcriptomics, spatial proteomics, and spatial metabolomics-related technologies and their application in research concerning esophageal cancer, gastric cancer, and colorectal cancer. The objective is to foster the research and implementation of spatial multi-omics technology in digestive tumor diseases. This review will provide new technical insights for molecular biology researchers.