Leveraging Single-Cell Multi-Omics to Decode Tumor Microenvironment Diversity and Therapeutic Resistance.

IF 4.8 3区 医学 Q2 CHEMISTRY, MEDICINAL Pharmaceuticals Pub Date : 2025-01-10 DOI:10.3390/ph18010075
Hussein Sabit, Borros Arneth, Timothy M Pawlik, Shaimaa Abdel-Ghany, Aysha Ghazy, Rawan M Abdelazeem, Amany Alqosaibi, Ibtesam S Al-Dhuayan, Jawaher Almulhim, Noof A Alrabiah, Ahmed Hashash
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Abstract

Recent developments in single-cell multi-omics technologies have provided the ability to identify diverse cell types and decipher key components of the tumor microenvironment (TME), leading to important advancements toward a much deeper understanding of how tumor microenvironment heterogeneity contributes to cancer progression and therapeutic resistance. These technologies are able to integrate data from molecular genomic, transcriptomic, proteomics, and metabolomics studies of cells at a single-cell resolution scale that give rise to the full cellular and molecular complexity in the TME. Understanding the complex and sometimes reciprocal relationships among cancer cells, CAFs, immune cells, and ECs has led to novel insights into their immense heterogeneity in functions, which can have important consequences on tumor behavior. In-depth studies have uncovered immune evasion mechanisms, including the exhaustion of T cells and metabolic reprogramming in response to hypoxia from cancer cells. Single-cell multi-omics also revealed resistance mechanisms, such as stromal cell-secreted factors and physical barriers in the extracellular matrix. Future studies examining specific metabolic pathways and targeting approaches to reduce the heterogeneity in the TME will likely lead to better outcomes with immunotherapies, drug delivery, etc., for cancer treatments. Future studies will incorporate multi-omics data, spatial relationships in tumor micro-environments, and their translation into personalized cancer therapies. This review emphasizes how single-cell multi-omics can provide insights into the cellular and molecular heterogeneity of the TME, revealing immune evasion mechanisms, metabolic reprogramming, and stromal cell influences. These insights aim to guide the development of personalized and targeted cancer therapies, highlighting the role of TME diversity in shaping tumor behavior and treatment outcomes.

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利用单细胞多组学解码肿瘤微环境多样性和治疗耐药性。
单细胞多组学技术的最新发展提供了识别不同细胞类型和破译肿瘤微环境(TME)关键成分的能力,从而在更深入地了解肿瘤微环境异质性如何促进癌症进展和治疗耐药性方面取得了重要进展。这些技术能够在单细胞分辨率尺度上整合细胞的分子基因组学、转录组学、蛋白质组学和代谢组学研究数据,从而在TME中产生完整的细胞和分子复杂性。了解癌细胞、CAFs、免疫细胞和ECs之间复杂且有时相互作用的关系,使人们对它们在功能上的巨大异质性有了新的认识,这可能对肿瘤行为产生重要影响。深入的研究揭示了免疫逃避机制,包括T细胞的衰竭和对癌细胞缺氧的代谢重编程。单细胞多组学还揭示了耐药机制,如基质细胞分泌因子和细胞外基质中的物理屏障。未来研究特定的代谢途径和靶向方法来减少TME的异质性,可能会在免疫疗法、药物输送等癌症治疗方面取得更好的结果。未来的研究将整合多组学数据、肿瘤微环境中的空间关系,并将其转化为个性化的癌症治疗。这篇综述强调了单细胞多组学如何能够深入了解TME的细胞和分子异质性,揭示免疫逃避机制、代谢重编程和基质细胞的影响。这些见解旨在指导个性化和靶向癌症治疗的发展,突出TME多样性在塑造肿瘤行为和治疗结果中的作用。
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来源期刊
Pharmaceuticals
Pharmaceuticals Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
6.10
自引率
4.30%
发文量
1332
审稿时长
6 weeks
期刊介绍: Pharmaceuticals (ISSN 1424-8247) is an international scientific journal of medicinal chemistry and related drug sciences.Our aim is to publish updated reviews as well as research articles with comprehensive theoretical and experimental details. Short communications are also accepted; therefore, there is no restriction on the maximum length of the papers.
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