Identification of differentially expressed genes using microarray analysis and COL6A1 induction of bone metastasis in non‑small cell lung cancer
Authors:
Open Access
- 1 August 2021
- journal article
- research article
- Published by Spandidos Publications in Oncology Letters
- Vol. 22 (4) , 1-14
Abstract
Non‑small cell lung cancer (NSCLC) is a major cause of cancer‑associated mortality worldwide, and bone metastasis is the most prevalent event observed in patients with advanced NSCLC. However, the pathogenesis of bone metastases has not been fully elucidated. In the present study, differentially expressed genes (DEGs) were identified by gene expression microarray analysis of NSCLC tissue samples with or without bone metastases. Subsequently, collagen type 6A1 (COL6A1) was chosen as the target gene through Ingenuity Pathway Analysis and reverse transcription‑quantitative (RT‑q) PCR validation of the top eight DEGs. COL6A1 was overexpressed or knocked down, and the proliferation and invasion of NSCLC cells was assessed using Cell Counting Kit‑8, colony formation and Transwell invasion assays. Additionally, the osteogenic capacity of HOB and hES‑MP 002.5 cells was assessed using RT‑qPCR, western blotting, Alizarin Red and alkaline phosphatase staining. A total of 364 DEGs were identified in NSCLC tissues with bone metastases compared with NSCLC tissues without bone metastases, including 140 upregulated and 224 downregulated genes. Gene Ontology analysis results demonstrated that the upregulated and downregulated genes were primarily enriched in ‘cellular process’, ‘metabolic process’ and ‘biological regulation’. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that the upregulated genes were primarily enriched in ‘cysteine and methionine metabolism’, ‘oxidative phosphorylation’ and ‘ribosome’, whereas the downregulated genes were primarily enriched in the ‘transcriptional misregulation in cancer’, ‘ribosome’ and ‘mitophagy‑animal’ pathways. COL6A1 was highly expressed in NSCLC tissue samples with bone metastases. Functionally, COL6A1 overexpression induced the proliferation and invasion of HARA cells, and its knockdown inhibited the proliferation and invasion of HARA‑B4 cells. Finally, it was demonstrated that HOB and hES‑MP 002.5 cells exhibited osteogenic capacity, and overexpression of COL6A1 in HARA cells increased the adhesion of these cells to the osteoblasts, whereas knockdown of COL6A1 in HARA‑B4 cells reduced their adhesive ability. In conclusion, COL6A1 may serve as a potential diagnostic marker and therapeutic target for bone metastasis in NSCLC.Keywords
This publication has 46 references indexed in Scilit:
- limma powers differential expression analyses for RNA-sequencing and microarray studiesNucleic Acids Research, 2015
- Prospective Study on the Incidence of Bone Metastasis (BM) and Skeletal-Related Events (SREs) in Patients (pts) with Stage IIIB and IV Lung Cancer—CSP-HOR 13Journal of Thoracic Oncology, 2014
- Natural history of skeletal-related events in patients with breast, lung, or prostate cancer and metastases to bone: a 15-year study in two large US health systemsSupportive Care in Cancer, 2013
- Human Embryonic Stem Cell-Derived Mesenchymal Stroma Cells (hES-MSCs) Engraft In Vivo and Support Hematopoiesis without Suppressing Immune Function: Implications for Off-The Shelf ES-MSC TherapiesPLOS ONE, 2013
- Principal Components Analysis2012
- Global secretome analysis identifies novel mediators of bone metastasisCell Research, 2012
- Value of C-telopeptide-cross-linked Type I collagen, osteocalcin, bone-specific alkaline phosphatase and procollagen Type I N-terminal propeptide in the diagnosis and prognosis of bone metastasis in patients with malignant tumorsMedical Science Monitor, 2011
- Lentiviral-mediated RNAi in vivo silencing of Col6a1, a gene with complex tissue specific expression patternJournal of Biotechnology, 2009
- Identiication of COL6A1 as a differentially expressed gene in human astrocytomasGenetics and Molecular Research, 2008
- Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT MethodMethods, 2001