Differential Expression and Prognostic Significance of CDK1 and CDK6 in Breast Cancer: A Multi-Omics Approach DOI Creative Commons
Md. Wahidul Islam,

Fatema Tuj Johora Fariha,

Md. Zabir Ahmed

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 11, 2024

Abstract Breast cancer, a heterogeneous disease with diverse molecular subtypes, poses significant challenges for diagnosis and treatment. Cyclin-dependent kinases (CDKs) play pivotal roles in the regulation of cell cycle progression have emerged as potential therapeutic targets. However, studies on CDK1 CDK6 are limited. This study comprehensively investigated gene expression, genetic alterations, DNA methylation, prognostic significance using TIMER 2.0, UALCAN, HPA, cBioPortal, Enrichr, Kaplan-Meier Plotter databases. The results indicated upregulation downregulation compared to normal tissues. Elevated levels correlated higher survival rate, whereas increased associated adverse outcomes. analysis revealed emphasizing their oncogenic potential. methylation varies stage ethnicity, suggesting regulatory role. Immune infiltration correlates CDK indicating its impact progression. Co-expression identifies related genes, elucidating interactions. Functional pathways involving In consolidation, clinical relevance determinants targets breast cancer management is discussed. multi-omics approach provides comprehensive framework understanding pathogenesis advancing precision medical strategies improve patient

Language: Английский

Prediction of Brain Cancer Occurrence and Risk Assessment of Brain Hemorrhage Using Hybrid Deep Learning Technique DOI

R Venkatesha Prasad,

Amit Saxena, Suman Laha

et al.

Cancer Investigation, Journal Year: 2024, Volume and Issue: 43(1), P. 80 - 102

Published: Dec. 4, 2024

The prediction of brain cancer occurrence and risk assessment hemorrhage using a hybrid deep learning (DL) technique is critical area research in medical imaging analysis. One prominent challenge this field the accurate identification classification tumors hemorrhages, which can significantly impact patient prognosis treatment planning. objectives study address levels associated with both cancers due to hemorrhage. A diverse dataset MRI CT scan images. Utilize Unsymmetrical Trimmed Median Filter Optics Clustering for noise removal while preserving edges details. Chan-Vese segmentation process refined segmentation. Brain detection Multi-Head Self-Attention Dilated Convolution Neural Network (MH-SA-DCNN) Efficient Net Model. MH-SA-DCNN This trains algorithm predict cancerous regions Further, implement Graph-Based Deep Model (G-DNN) capture spatial relationships factors from Cox regression model estimate over time fine-tune optimize model's parameters features Osprey optimization (OPA).

Language: Английский

Citations

1
Differential Expression and Prognostic Significance of CDK1 and CDK6 in Breast Cancer: A Multi-Omics Approach DOI Creative Commons
Md. Wahidul Islam,

Fatema Tuj Johora Fariha,

Md. Zabir Ahmed

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 11, 2024

Abstract Breast cancer, a heterogeneous disease with diverse molecular subtypes, poses significant challenges for diagnosis and treatment. Cyclin-dependent kinases (CDKs) play pivotal roles in the regulation of cell cycle progression have emerged as potential therapeutic targets. However, studies on CDK1 CDK6 are limited. This study comprehensively investigated gene expression, genetic alterations, DNA methylation, prognostic significance using TIMER 2.0, UALCAN, HPA, cBioPortal, Enrichr, Kaplan-Meier Plotter databases. The results indicated upregulation downregulation compared to normal tissues. Elevated levels correlated higher survival rate, whereas increased associated adverse outcomes. analysis revealed emphasizing their oncogenic potential. methylation varies stage ethnicity, suggesting regulatory role. Immune infiltration correlates CDK indicating its impact progression. Co-expression identifies related genes, elucidating interactions. Functional pathways involving In consolidation, clinical relevance determinants targets breast cancer management is discussed. multi-omics approach provides comprehensive framework understanding pathogenesis advancing precision medical strategies improve patient

Language: Английский

Citations

0