Multiomics approach towards characterization of tumor cell plasticity and its significance in precision and personalized medicine

被引:1
作者
Aziz, Mohammad Azhar [1 ,2 ]
机构
[1] Aligarh Muslim Univ, Interdisciplinary Nanotechnol Ctr, Aligarh, Uttar Pradesh, India
[2] Aligarh Muslim Univ, Canc Nanomed Consortium, Aligarh, Uttar Pradesh, India
关键词
Cellular plasticity; Tumor heterogeneity; Multiomics; Precision medicine; Personalized medicine; Metastasis; CANCER STEM-CELLS; COLORECTAL-CANCER; METASTASIS; HETEROGENEITY; HALLMARKS; BIOMARKERS;
D O I
10.1007/s10555-024-10190-x
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Cellular plasticity refers to the ability of cells to change their identity or behavior, which can be advantageous in some cases (e.g., tissue regeneration) but detrimental in others (e.g., cancer metastasis). With a better understanding of cellular plasticity, the complexity of cancer cells, their heterogeneity, and their role in metastasis is being unraveled. The plasticity of the cells could also prove as a nemesis to their characterization. In this review, we have attempted to highlight the possibilities and benefits of using multiomics approach in characterizing the plastic nature of cancer cells. There is a need to integrate fragmented evidence at different levels of cellular organization (DNA, RNA, protein, metabolite, epigenetics, etc.) to facilitate the characterization of different forms of plasticity and cell types. We have discussed the role of cellular plasticity in generating intra-tumor heterogeneity. Different omics level evidence is being provided to highlight the variety of molecular determinants discovered using different techniques. Attempts have been made to integrate some of this information to provide a quantitative assessment and scoring of the plastic nature of the cells. However, there is a huge gap in our understanding of mechanisms that lead to the observed heterogeneity. Understanding of these mechanism(s) is necessary for finding targets for early detection and effective therapeutic interventions in metastasis. Targeting cellular plasticity is akin to neutralizing a moving target. Along with the advancements in precision and personalized medicine, these efforts may translate into better clinical outcomes for cancer patients, especially in metastatic stages.
引用
收藏
页码:1549 / 1559
页数:11
相关论文
共 80 条
[31]   Hallmarks of Cancer: The Next Generation [J].
Hanahan, Douglas ;
Weinberg, Robert A. .
CELL, 2011, 144 (05) :646-674
[32]   Artificial intelligence-based multi-omics analysis fuels cancer precision medicine [J].
He, Xiujing ;
Liu, Xiaowei ;
Zuo, Fengli ;
Shi, Hubing ;
Jing, Jing .
SEMINARS IN CANCER BIOLOGY, 2023, 88 :187-200
[33]   Linking stemness with colorectal cancer initiation, progression, and therapy [J].
Iyer, Deepak Narayanan ;
Sin, Wai-Yan ;
Ng, Lui .
WORLD JOURNAL OF STEM CELLS, 2019, 11 (08) :519-534
[34]   Phenotypic plasticity during metastatic colonization [J].
Jehanno, Charly ;
Vulin, Milica ;
Richina, Veronica ;
Richina, Federica ;
Bentires-Alj, Mohamed .
TRENDS IN CELL BIOLOGY, 2022, 32 (10) :854-867
[35]   The background puzzle: how identical mutations in the same gene lead to different disease symptoms [J].
Kammenga, Jan E. .
FEBS JOURNAL, 2017, 284 (20) :3362-3373
[36]   Targeting Wnt Signaling for Gastrointestinal Cancer Therapy: Present and Evolving Views [J].
Kim, Moon Jong ;
Huang, Yuanjian ;
Park, Jae-Il .
CANCERS, 2020, 12 (12) :1-28
[37]   Cellular Plasticity in Breast Cancer Progression and Therapy [J].
Kong, Deguang ;
Hughes, Connor J. ;
Ford, Heide L. .
FRONTIERS IN MOLECULAR BIOSCIENCES, 2020, 7
[38]   Single-cell omics: A new direction for functional genetic research in human diseases and animal models [J].
Kong, Siyuan ;
Li, Rongrong ;
Tian, Yunhan ;
Zhang, Yaqiu ;
Lu, Yuhui ;
Ou, Qiaoer ;
Gao, Peiwen ;
Li, Kui ;
Zhang, Yubo .
FRONTIERS IN GENETICS, 2023, 13
[39]   Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues [J].
Kosti, Idit ;
Jain, Nishant ;
Aran, Dvir ;
Butte, Atul J. ;
Sirota, Marina .
SCIENTIFIC REPORTS, 2016, 6
[40]   Evolution of the Cancer Stem Cell Model [J].
Kreso, Antonija ;
Dick, John E. .
CELL STEM CELL, 2014, 14 (03) :275-291