Yue Zhang , Ren Yuan Lee , Chin Wee Tan , Xue Guo , Willa W-Y Yim , Jeffrey CT Lim , Felicia YT Wee , WU Yang , Malvika Kharbanda , Jia-Ying J Lee , Nye Thane Ngo , Wei Qiang Leow , Lit-Hsin Loo , Tony KH Lim , Radoslaw M Sobota , Mai Chan Lau , Melissa J Davis , Joe Yeong
{"title":"Spatial omics techniques and data analysis for cancer immunotherapy applications","authors":"Yue Zhang , Ren Yuan Lee , Chin Wee Tan , Xue Guo , Willa W-Y Yim , Jeffrey CT Lim , Felicia YT Wee , WU Yang , Malvika Kharbanda , Jia-Ying J Lee , Nye Thane Ngo , Wei Qiang Leow , Lit-Hsin Loo , Tony KH Lim , Radoslaw M Sobota , Mai Chan Lau , Melissa J Davis , Joe Yeong","doi":"10.1016/j.copbio.2024.103111","DOIUrl":null,"url":null,"abstract":"<div><p>In-depth profiling of cancer cells/tissues is expanding our understanding of the genomic, epigenomic, transcriptomic, and proteomic landscape of cancer. However, the complexity of the cancer microenvironment, particularly its immune regulation, has made it difficult to exploit the potential of cancer immunotherapy. High-throughput spatial omics technologies and analysis pipelines have emerged as powerful tools for tackling this challenge. As a result, a potential revolution in cancer diagnosis, prognosis, and treatment is on the horizon. In this review, we discuss the technological advances in spatial profiling of cancer around and beyond the central dogma to harness the full benefits of immunotherapy. We also discuss the promise and challenges of spatial data analysis and interpretation and provide an outlook for the future.</p></div>","PeriodicalId":10833,"journal":{"name":"Current opinion in biotechnology","volume":"87 ","pages":"Article 103111"},"PeriodicalIF":7.1000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in biotechnology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0958166924000478","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
In-depth profiling of cancer cells/tissues is expanding our understanding of the genomic, epigenomic, transcriptomic, and proteomic landscape of cancer. However, the complexity of the cancer microenvironment, particularly its immune regulation, has made it difficult to exploit the potential of cancer immunotherapy. High-throughput spatial omics technologies and analysis pipelines have emerged as powerful tools for tackling this challenge. As a result, a potential revolution in cancer diagnosis, prognosis, and treatment is on the horizon. In this review, we discuss the technological advances in spatial profiling of cancer around and beyond the central dogma to harness the full benefits of immunotherapy. We also discuss the promise and challenges of spatial data analysis and interpretation and provide an outlook for the future.
期刊介绍:
Current Opinion in Biotechnology (COBIOT) is renowned for publishing authoritative, comprehensive, and systematic reviews. By offering clear and readable syntheses of current advances in biotechnology, COBIOT assists specialists in staying updated on the latest developments in the field. Expert authors annotate the most noteworthy papers from the vast array of information available today, providing readers with valuable insights and saving them time.
As part of the Current Opinion and Research (CO+RE) suite of journals, COBIOT is accompanied by the open-access primary research journal, Current Research in Biotechnology (CRBIOT). Leveraging the editorial excellence, high impact, and global reach of the Current Opinion legacy, CO+RE journals ensure they are widely read resources integral to scientists' workflows.
COBIOT is organized into themed sections, each reviewed once a year. These themes cover various areas of biotechnology, including analytical biotechnology, plant biotechnology, food biotechnology, energy biotechnology, environmental biotechnology, systems biology, nanobiotechnology, tissue, cell, and pathway engineering, chemical biotechnology, and pharmaceutical biotechnology.