Towards the early detection of ductal carcinoma (a common type of breast cancer) using biomarkers linked to the PPAR(γ) signaling pathway

Ghazala Sultan; Swaleha Zubair; Iftikhar Aslam Tayubi; Hans-Uwe Dahms; Inamul Hasan Madar

doi:10.6026/97320630015799

Towards the early detection of ductal carcinoma (a common type of breast cancer) using biomarkers linked to the PPAR(γ) signaling pathway

Bioinformation. 2019 Dec 9;15(11):799-805. doi: 10.6026/97320630015799. eCollection 2019.

Authors

Ghazala Sultan¹, Swaleha Zubair¹, Iftikhar Aslam Tayubi², Hans-Uwe Dahms¹, Inamul Hasan Madar^{3

4}

Affiliations

¹ Department of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh 202001, India.
² Faculty of Computing and Information Technology, Rabigh, King Abdulaziz University, Jeddah 21911, Saudi Arabia.
³ Department of Biomedical Science and Environmental Biology, KMU-Kaohsiung Medical University, Kaohsiung, Taiwan.
⁴ Department of Biotechnology, School of Biotechnology and Genetic Engineering, Bharathidasan University, Tiruchirappalli, 620024, Tamil Nadu, India.

Abstract

Breast cancer is a leading cause of morbidity and mortality among women comprising about 12% females worldwide. The underlying alteration in the gene expression, molecular mechanism and metabolic pathways responsible for incidence and progression of breast tumorigenesis are yet not completely understood. In the present study, potential biomarker genes involved in the early progression for early diagnosis of breast cancer has been detailed. Regulation and Gene profiling of Ductal Carcinoma In-situ (DCIS), Invasive Ductal Carcinoma (IDC) and healthy samples have been analyzed to follow their expression pattern employing normalization, statistical calculation, DEGs annotation and Protein-Protein Interaction (PPI) network. We have performed a comparative study on differentially expressed genes among Healthy vs DCIS, Healthy vsIDC and DCIS vs IDC. We found MCM102 and SLC12A8as consistently over-expressed and LEP, SORBS1, SFRP1, PLIN1, FABP4, RBP4, CD300LG, ID4, CRYAB, ECRG4, G0S2, FMO2, ADAMTS5, CAV1, CAV2, ABCA8, MAMDC2, IGFBP6, CLDN11, TGFBR3as under-expressed genes in all the 3 conditions categorized for pre-invasive and invasive ductal breast carcinoma. These genes were further studied for the active pathways where PPAR(γ) signaling pathway was found to be significantly involved. The gene expression profile database can be a potential tool in the early diagnosis of breast cancer.

Keywords: Breast Cancer; PPAR(γ)signaling pathway; biomarker Discovery; ductal Carcinoma In-situ (DCIS); invasive ductal carcinoma (IDC); microarray.