Expression profiles of Natural Killer Group 2D Ligands (NGK2DLs) in colorectal carcinoma and changes in response to chemotherapeutic agents.
Burak KucukEsra YilmazErcan CacanPublished in: Molecular biology reports (2021)
Colorectal cancer (CRC) is one of the most common cancers worldwide. Natural Killer Group 2D Receptor (NKG2D) and their ligands (NKG2DLs) play crucial roles in natural killer (NK) cell-mediated cytotoxicity. Tumorigeneses cause increased NKG2DLs expression on tumor cell surfaces, thereby these cells individually eliminated by NK cells. However, CRC cells can reduce their NKG2DL expression to escape from NK-mediated immune surveillance which is associated with poor prognosis. Therefore, previous studies suggest that up-regulation of NKG2DLs can contribute to promising NK cell-mediated immunotherapy strategies. We aimed to analyze NKG2DLs expression profiles in response to chemotherapeutic drugs and increased MHC class I polypeptide-related sequence A (MICA) expression, which is related to favorable prognosis in CRC, using low doses of bortezomib and epirubicin combination without causing direct cytotoxicity. Results showed that MICA expression sligthly increased following drug treatment in the CRC cells but not for the normal cells. Also, we enriched our study with Gene Expression Omnibus (GEO) datasets including expression profiles of various NKG2DLs using in silico analyses. Accordingly, NKG2DL expression in CRC was screened in proportion to other cancers, histologic subtypes, TNM stages and metastatic samples to compare with our data. Overall, the analyzed data showed that NKG2DLs demonstrate different expression profiles in response to chemotherapeutic agents and a combination of low-dose bortezomib and epirubicin slightly increased MICA mRNA expression in CRC cell lines. However, performing further analysis of the combination therapy for MICA protein expression and studying its interaction with NK cells will make the results more meaningful.
Keyphrases
- nk cells
- poor prognosis
- induced apoptosis
- long non coding rna
- gene expression
- cell cycle arrest
- low dose
- binding protein
- squamous cell carcinoma
- multiple myeloma
- small cell lung cancer
- endoplasmic reticulum stress
- electronic health record
- oxidative stress
- dna methylation
- emergency department
- cell death
- pseudomonas aeruginosa
- escherichia coli
- machine learning
- public health
- young adults
- mesenchymal stem cells
- cystic fibrosis
- cell therapy
- pi k akt
- single cell
- molecular dynamics simulations
- rna seq