Gene signatures of cyclin-dependent kinases: a comparative study in naïve early and advanced stages of lung metastasis breast cancer among pre- and post-menopausal women.
Muhammad Fazal Hussain QureshiMuzna ShahMahira LakhaniZain Jawed AbubakerDanish MohammadHira FarhanIman ZiaRida TafveezSamahir Tariq KhanGhani RubinaMushtaq ShamimHaider GhulamPublished in: Genes & cancer (2021)
The Human epidermal growth factor receptor 2 positive (HER2+) breast cancer (BC) is a more aggressive tumor with 5 years median survival rates after metastasis. Despite successful treatment, unfortunately, the majority of affected patients die. Defects in cell cycle and transcription regulation phases which are governed by cyclin-dependent kinases (CDKs) are the hallmark of many cancers that underpinning the progression of the disease. Therefore, the current study looked at the alteration of six CDKs mRNA expression levels in pre- and postmenopausal lung metastasis BC groups; the majority were HER2+. Two hundred pre-and postmenopausal lung metastasis breast cancer and healthy control blood samples were taken for RNA isolation. Quantitative PCR was done for CDKs mRNA expressions. We observed overexpression of CDK11, CDK12, CDK17, CDK18, and CDK19 in both pre- and postmenopausal groups. However, CDK20 showed progressive downregulation from early to advanced stages in both groups of patients. Collectively, this data revealed that CDKs overexpression levels may predict BC disease progression and provide further rationale for novel anticancer strategies for HER2+ BC cancers.
Keyphrases
- cell cycle
- cell proliferation
- epidermal growth factor receptor
- end stage renal disease
- newly diagnosed
- ejection fraction
- breast cancer risk
- prognostic factors
- peritoneal dialysis
- clinical trial
- bone mineral density
- multiple sclerosis
- genome wide
- high resolution
- adipose tissue
- cell death
- gene expression
- machine learning
- deep learning
- dna methylation
- signaling pathway
- polycystic ovary syndrome
- pregnant women
- young adults
- mass spectrometry
- body composition
- electronic health record
- big data
- patient reported
- insulin resistance
- metabolic syndrome
- childhood cancer