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Cell cycle proteins: Linking the cell cycle to tumors

Authors: ZHONG, JIE; LIU, JUE; TANG, XING; ZHOU, WENCHAO; SONG, GUANGMING; ZENG, YUHUAN; ZHANG, XIAODI; +4 Authors

Cell cycle proteins: Linking the cell cycle to tumors

Abstract

The cell cycle is a tightly coupled series of events that enable cells to grow and proliferate. Cyclin-dependent kinases (CDKs) play crucial roles in the cell cycle by enabling cells to transition between different phases when they are activated. Cell cycle proteins enhance the activity of CDKs, while natural CDK inhibitors (CDKIs) suppress them. The cell cycle continues in cycles under normal conditions, but when conditions change, cells halt or terminate the cell cycle. Tumors are tissues that grow out of control, and the mechanisms of various types of tumors are different; however, almost all tumor cells share several common characteristics, including proliferation, prevention of apoptosis and genomic instability. Cellular division is essential in the progression of cancer. A key characteristic of cancer is the uncontrolled growth of tumor cells, which is due to the erratic behavior of several proteins during the cell cycle. Therefore, cell cycle regulators are considered attractive targets for the treatment of cancer. The present analysis highlights proteins that play a direct role in controlling the tumor cell cycle, such as CDKs, and provides a brief overview of checkpoint kinases. The present review also discusses how cell cycle proteins contribute to cancer and describes some of the antitumor drugs that are being researched.

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Keywords

Neoplasms, Cell Cycle, Humans, Animals, Cell Cycle Proteins, Antineoplastic Agents, Review, Cyclin-Dependent Kinases

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold