Current state and future prospects of spatial biology in colorectal cancer

被引:4
作者
Carranza, Francisco G. [1 ]
Diaz, Fernando C. [2 ]
Ninova, Maria [3 ]
Velazquez-Villarreal, Enrique [1 ,4 ]
机构
[1] City Hope Natl Med Ctr, Beckman Res Inst, Dept Integrat Translat Sci, Duarte, CA 91010 USA
[2] Univ North Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC USA
[3] Univ Calif Riverside, Dept Biochem, Riverside, CA USA
[4] City Hope Natl Med Ctr, Comprehens Canc Ctr, Duarte, CA 91010 USA
来源
FRONTIERS IN ONCOLOGY | 2024年 / 14卷
关键词
colorectal cancer; spatial transcriptomics; spatial proteomics; bioinformatics; genomics; personalized medicine; translational research; spatial biology; GENE-EXPRESSION; TRANSCRIPTOME ANALYSIS; RESOLUTION; REVEALS; SEQ;
D O I
10.3389/fonc.2024.1513821
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Over the past century, colorectal cancer (CRC) has become one of the most devastating cancers impacting the human population. To gain a deeper understanding of the molecular mechanisms driving this solid tumor, researchers have increasingly turned their attention to the tumor microenvironment (TME). Spatial transcriptomics and proteomics have emerged as a particularly powerful technology for deciphering the complexity of CRC tumors, given that the TME and its spatial organization are critical determinants of disease progression and treatment response. Spatial transcriptomics enables high-resolution mapping of the whole transcriptome. While spatial proteomics maps protein expression and function across tissue sections. Together, they provide a detailed view of the molecular landscape and cellular interactions within the TME. In this review, we delve into recent advances in spatial biology technologies applied to CRC research, highlighting both the methodologies and the challenges associated with their use, such as the substantial tissue heterogeneity characteristic of CRC. We also discuss the limitations of current approaches and the need for novel computational tools to manage and interpret these complex datasets. To conclude, we emphasize the importance of further developing and integrating spatial transcriptomics into CRC precision medicine strategies to enhance therapeutic targeting and improve patient outcomes.
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页数:16
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