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CDK6 is a novel predictive and prognosis biomarker correlated with immune infiltrates in multiple human neoplasms, including small cell lung carcinoma.

Authors :
Li GS
Huang ZG
Li DM
Tang YL
Zheng JH
Yang L
Feng Y
Peng JX
Li JX
Tang YX
Zeng NY
Jin MH
Tian J
Liu J
Zhou HF
Chen G
Chen F
Source :
Functional & integrative genomics [Funct Integr Genomics] 2023 Nov 10; Vol. 23 (4), pp. 332. Date of Electronic Publication: 2023 Nov 10.
Publication Year :
2023

Abstract

The roles of cyclin-dependent kinase 6 (CDK6) in various cancers, including small cell lung carcinoma (SCLC), remain unclear. Here, 111,54 multi-center samples were investigated to determine the expression, clinical significance, and underlying mechanisms of CDK6 in 34 cancers. The area under the curve (AUC), Cox regression analysis, and the Kaplan-Meier curves were used to explore the clinical value of CDK6 in cancers. Gene set enrichment analysis and correlation analysis were performed to detect potential CDK6 mechanisms. CDK6 expression was essential in 24 cancer cell types. Abnormal CDK6 expression was observed in 14 cancer types (e.g., downregulated in breast invasive carcinoma; p < 0.05). CDK6 allowed six cancers to be distinguished from their controls (AUC > 0.750). CDK6 expression was a prognosis marker for 13 cancers (e.g., adrenocortical carcinoma; p < 0.05). CDK6 was correlated with several immune-related signaling pathways and the infiltration levels of certain immune cells (e.g., CD8 <superscript>+</superscript> T cells; p < 0.05). Downregulated CDK6 mRNA and protein levels were observed in SCLC (p < 0.05, SMD = - 0.90). CDK6 allowed the identification of SCLC status (AUC = 0.91) and predicted a favorable prognosis for SCLC patients (p < 0.05). CDK6 may be a novel biomarker for the prediction and prognosis of several cancers, including SCLC.<br /> (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Details

Language :
English
ISSN :
1438-7948
Volume :
23
Issue :
4
Database :
MEDLINE
Journal :
Functional & integrative genomics
Publication Type :
Academic Journal
Accession number :
37950078
Full Text :
https://doi.org/10.1007/s10142-023-01253-3