Open Access

Prospective molecular mechanism of COL5A1 in breast cancer based on a microarray, RNA sequencing and immunohistochemistry

  • Authors:
    • Mei Wu
    • Qi Sun
    • Chao‑Hua Mo
    • Jin‑Shu Pang
    • Jia‑Yin Hou
    • Ling‑Ling Pang
    • Hui‑Ping Lu
    • Yi‑Wu Dang
    • Su‑Jie Fang
    • Deng Tang
    • Gang Chen
    • Zhen‑Bo Feng
  • View Affiliations

  • Published online on: May 3, 2019     https://doi.org/10.3892/or.2019.7147
  • Pages: 151-175
  • Copyright: © Wu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Breast cancer (BC) has a complex etiology and pathogenesis, and is the most common malignant tumor type in females, in USA in 2018, yet its relevant molecular mechanisms remain largely unknown. The collagen type V α‑1 chain (COL5A1) gene is differentially expressed in renal and ovarian cancer. Using bioinformatics methods, COL5A1 was determined to also be a significant gene in BC, but its association with BC has not been sufficiently reported. COL5A1 microarray and relevant clinical data were collected from the Gene Expression Omnibus, The Cancer Genome Atlas and other databases to summarize COL5A1 expression in BC and its subtypes at the mRNA and protein levels. All associated information was comprehensively analyzed by various software. The clinical significance of the mutation was obtained via the cBioPortal. Furthermore, Gene Ontology functional annotation and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were also performed to investigate the mechanism of COL5A1 in BC. Immunohistochemistry was also conducted to detect and confirm COL5A1 expression. It was determined that COL5A1 was highly expressed in BC tissues, compared with normal tissues at the mRNA level [standard mean difference, 0.84; 95% confidence interval (CI), 0.60‑1.07; P=0.108]. The area under the summary receiver operator characteristic curve for COL5A1 was 0.87 (95% CI, 0.84‑0.90). COL5A1 expression was altered in 32/817 (4%) sequenced samples. KEGG analysis confirmed the most notable pathways, including focal adhesion, extracellular matrix‑receptor interaction and regulation of the actin cytoskeleton. Immunohistochemical detection was used to verify the expression of COL5A1 in 136 selected cases of invasive BC tissues and 55 cases of adjacent normal tissues, while the rate of high expression of COL5A1 in BC was up to 90.4%. These results indicated that COL5A1 is highly expressed at the mRNA and protein levels in BC, and the prognosis of patients with BC with high COL5A1 expression may be reduced; therefore, COL5A1 may be used independently or combined with other detection factors in BC diagnosis.
View Figures
View References

Related Articles

Journal Cover

July-2019
Volume 42 Issue 1

Print ISSN: 1021-335X
Online ISSN:1791-2431

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Wu M, Sun Q, Mo CH, Pang JS, Hou JY, Pang LL, Lu HP, Dang YW, Fang SJ, Tang D, Tang D, et al: Prospective molecular mechanism of COL5A1 in breast cancer based on a microarray, RNA sequencing and immunohistochemistry. Oncol Rep 42: 151-175, 2019.
APA
Wu, M., Sun, Q., Mo, C., Pang, J., Hou, J., Pang, L. ... Feng, Z. (2019). Prospective molecular mechanism of COL5A1 in breast cancer based on a microarray, RNA sequencing and immunohistochemistry. Oncology Reports, 42, 151-175. https://doi.org/10.3892/or.2019.7147
MLA
Wu, M., Sun, Q., Mo, C., Pang, J., Hou, J., Pang, L., Lu, H., Dang, Y., Fang, S., Tang, D., Chen, G., Feng, Z."Prospective molecular mechanism of COL5A1 in breast cancer based on a microarray, RNA sequencing and immunohistochemistry". Oncology Reports 42.1 (2019): 151-175.
Chicago
Wu, M., Sun, Q., Mo, C., Pang, J., Hou, J., Pang, L., Lu, H., Dang, Y., Fang, S., Tang, D., Chen, G., Feng, Z."Prospective molecular mechanism of COL5A1 in breast cancer based on a microarray, RNA sequencing and immunohistochemistry". Oncology Reports 42, no. 1 (2019): 151-175. https://doi.org/10.3892/or.2019.7147