Matrix metalloproteinase-7 and -13 predict response to cisplatin in head and neck cancer
(English)Manuscript (preprint) (Other academic)
Purpose: To identify gene ontology categories and key regulators with impact on the intrinsic cisplatin sensitivity (ICS) in head and neck squamous cell carcinoma (HNSCC).
Experimental design: The ICS was determined in 35 HNSCC cell lines. Three of these cell lines, one sensitive and two resistant, were selected for microarray analysis. Gene Ontology (GO) categories were assessed using the gene ontology tree machine (GOTM) tool, and transcripts included in these categories were further analyzed using Ingenuity Pathway Analysis (IPA) for detection of key regulator genes. A group of key regulators were verified at protein level by Western blot analysis and on mRNA level using quantitative real-time PCR (qPCR).
Results: 781 transcripts were detected as significantly differently expressed for the resistant cell lines compared to the sensitive cell line. A total of ten different categories were enriched in GOTM by these transcripts and a transcriptional profile was made from the 20 key regulators identified in the IPA analysis. Five key regulator genes, apolipoprotein E (APOE), catenin beta1 (CTNNB1), matrix metalloproteinase-7 (MMP-7), matrix metalloproteinase-13 (MMP-13), and thrombospondin 1 (THBS1), were verified in 25 HNSCC cell lines on mRNA level using qPCR. The results confirmed MMP-7 (p=0.0013) and implied MMP-13 (p=0.058) as potential biomarkers of ICS.
Conclusions: We conclude that genome-wide transcriptional analysis and appropriate bioinformatics enable the identification of genes with impact on treatment response. Furthermore, we propose MMP-7 and MMP-13 as predictive markers of cisplatin resistance in HNSCC.
Predictive markers, chemotherapy, microarray and intrinsic cisplatin resistance
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-19571OAI: oai:DiVA.org:liu-19571DiVA: diva2:225483