Clonal selection parallels between normal and cancer tissues
Trends in Genetics, ISSN: 0168-9525, Vol: 39, Issue: 5, Page: 358-380
2023
- 5Citations
- 26Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations5
- Citation Indexes5
- CrossRef1
- Captures26
- Readers26
- 26
Review Description
Clonal selection and drift drive both normal tissue and cancer development. However, the biological mechanisms and environmental conditions underpinning these processes remain to be elucidated. Clonal selection models are centered in Darwinian evolutionary theory, where some clones with the fittest features are selected and populate the tissue or tumor. We suggest that different subclasses of stem cells, each of which is responsible for a distinct feature of the selection process, share common features between normal and cancer conditions. While active stem cells populate the tissue, dormant cells account for tissue replenishment/regeneration in both normal and cancerous tissues. We also discuss potential mechanisms that drive clonal drift, their interactions with clonal selection, and their similarities during normal and cancer tissue development.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0168952523000227; http://dx.doi.org/10.1016/j.tig.2023.01.007; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85148900996&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/36842901; https://linkinghub.elsevier.com/retrieve/pii/S0168952523000227; https://dx.doi.org/10.1016/j.tig.2023.01.007
Elsevier BV
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