Your browser doesn't support javascript.
loading
Applications of single­cell omics and spatial transcriptomics technologies in gastric cancer (Review).
Ren, Liping; Huang, Danni; Liu, Hongjiang; Ning, Lin; Cai, Peiling; Yu, Xiaolong; Zhang, Yang; Luo, Nanchao; Lin, Hao; Su, Jinsong; Zhang, Yinghui.
Afiliação
  • Ren L; School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China.
  • Huang D; Department of Radiology, Central South University Xiangya School of Medicine Affiliated Haikou People's Hospital, Haikou, Hainan 570208, P.R. China.
  • Liu H; School of Computer Science and Technology, Aba Teachers College, Aba, Sichuan 624099, P.R. China.
  • Ning L; School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China.
  • Cai P; School of Basic Medical Sciences, Chengdu University, Chengdu, Sichuan 610106, P.R. China.
  • Yu X; Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, Material Science and Engineering Institute of Hainan University, Sanya, Hainan 572025, P.R. China.
  • Zhang Y; Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China.
  • Luo N; School of Computer Science and Technology, Aba Teachers College, Aba, Sichuan 624099, P.R. China.
  • Lin H; Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, P.R. China.
  • Su J; Research Institute of Integrated Traditional Chinese Medicine and Western Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China.
  • Zhang Y; School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China.
Oncol Lett ; 27(4): 152, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38406595
ABSTRACT
Gastric cancer (GC) is a prominent contributor to global cancer-related mortalities, and a deeper understanding of its molecular characteristics and tumor heterogeneity is required. Single-cell omics and spatial transcriptomics (ST) technologies have revolutionized cancer research by enabling the exploration of cellular heterogeneity and molecular landscapes at the single-cell level. In the present review, an overview of the advancements in single-cell omics and ST technologies and their applications in GC research is provided. Firstly, multiple single-cell omics and ST methods are discussed, highlighting their ability to offer unique insights into gene expression, genetic alterations, epigenomic modifications, protein expression patterns and cellular location in tissues. Furthermore, a summary is provided of key findings from previous research on single-cell omics and ST methods used in GC, which have provided valuable insights into genetic alterations, tumor diagnosis and prognosis, tumor microenvironment analysis, and treatment response. In summary, the application of single-cell omics and ST technologies has revealed the levels of cellular heterogeneity and the molecular characteristics of GC, and holds promise for improving diagnostics, personalized treatments and patient outcomes in GC.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article