Role of identified proteins in the proteome profiles of CDK4/6 inhibitor-resistant breast cancer cell lines.
Binayak KumarPeeyush PrasadRagini SinghRam Krishna SahuAshutosh SinghSrikrishna Jayadev MaganiSuresh T HedauPublished in: Molecular omics (2023)
Abemaciclib (Ab) and palbociclib (Pb) are CDK4/6 inhibitors used to cure advanced breast cancer (BC). However, acquired resistance is a major challenge. The molecular mechanisms and signature proteins of therapy resistance for Ab and Pb drugs need to be explored. Here we developed resistant cells for Ab and Pb drugs in MCF-7 cell lines and explored the mechanisms and signature proteins of therapy resistance in BC. Proteome profiling was performed using the label-free proteome-orbitrap-fusion-MS-MS technique. Gene ontology (GO)-terms, KEGG pathways and network analysis were performed for the proteome data. Drug-resistant cells showed increased drug tolerance, enhanced colony formation potential and an increased gap-healing tendency for the respective drug. Up-regulation of survival genes (BCL-2 and MCL-1) and down-regulation of apoptosis inducers were observed. Drug-resistance markers (MDR-1 and ABCG2 (BCRP)) along with ESR-1, CDK4, CDK6, and cyclin-D1 genes were up-regulated in resistant cells. A total of 237 and 239 proteins were found to be differentially expressed in the Ab and Pb-resistant cells, respectively. Down-regulated proteins induce apoptosis signalling and nucleotide metabolisms and restrict EGFR signalling; however, up-regulated proteins induce Erk, wnt-β-catenin, VEGFR-PI3K-AKT, glucose transportation, and hypoxia signalling pathways and regulate hydrogen peroxide signalling pathways. The panel of identified proteins associated with these pathways might have characteristics of molecular signature and new drug targets for overcoming drug resistance in breast cancer.
Keyphrases
- cell cycle arrest
- pi k akt
- induced apoptosis
- cell death
- signaling pathway
- drug resistant
- cell proliferation
- hydrogen peroxide
- endoplasmic reticulum stress
- cell cycle
- oxidative stress
- ms ms
- network analysis
- small cell lung cancer
- label free
- stem cells
- emergency department
- type diabetes
- transcription factor
- machine learning
- blood pressure
- epithelial mesenchymal transition
- metabolic syndrome
- high resolution
- acinetobacter baumannii
- pseudomonas aeruginosa
- drug induced
- skeletal muscle
- blood glucose
- breast cancer cells
- cell therapy
- aqueous solution
- human health
- genome wide identification