Title

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

Authors

Ghazala Sultan¹, Swaleha Zubair¹,*, Iftikhar Aslam Tayubi², Hans-Uwe Dahms³, Inamul Hasan Madar^3,4

Affiliation

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

Email

Swaleha Zubair - E-mail:swalehaowais123@gmail.com; *Corresponding author

Article Type

Research Article

Date

Received November 14, 2019; Revised November 28, 2019; Accepted December 7, 2019; Published December 9, 2019

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 overexpressed 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, Ductal Carcinoma In-situ (CDIS), Invasive Ductal Carcinoma (IDC), PPAR(γ) Signaling Pathway, Microarray,Biomarker Discovery

Citation

Sultan et al. Bioinformation 15(11): 799-805 (2019)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.