International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 5 | Views: 109 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Pharmacology and Toxicology | India | Volume 12 Issue 9, September 2023


Exploring the Link between Type 2 Diabetes Mellitus and Triple Negative Breast Cancer: Insights from mRNA Expression Analysis in Tertiary Care Hospital

Khushboo [25] | Dr. Manish Kumar [8] | Dr. Saajid Hameed | Suchitra Kumari | Dr. Harihar Dikshit


Abstract: Background: Type 2 diabetes mellitus is associated with hyperinsulinemia, hyperglycaemia, adipokine changes (increased leptin and decreased adiponectin), chronic low-grade inflammation (increased interleukin-6 (IL-6), tumour necrosis factor-alpha (TNF-), and interferon ?). (INF-), increased levels of oxidative stress. These T2DM-related factors are thought to enhance tumour growth by engaging in signalling pathways involved in cell proliferation, migration, angiogenesis, inflammation, invasion, and apoptosis. However, the mechanisms of association between T2DM and breast cancer are still not fully understood. Aims/Objectives: Toanalyze the evaluation of role of diabetes mellitus related mRNA in triple negative breast cancer population of Bihar, whether the presence of diabetes in breast cancer patients led to a different mRNA expression before and after chemotherapy. Materials/Materials: Breast cancer and aged matched healthy control blood sample were taken in Paxgene tube. Total RNA was extracted from the breast cancer and healthy controls using PAX-gene Blood RNA Kit (Qiagen). ncRNAs and mRNAs were sequenced using the high-throughput and high-sensitivity Novaseq 6000 sequencing platform (Illumina, Inc.). Fast-QC version 0.11.8 was used to evaluate the quality of the pre-processed data. Gene expression was quantified via reads per kilo-base per million mapped reads, which was calculated using the DESeq2 package in R. Normalization of the read counts was performed and the differentially expressed genes for the treatment groups are filtered according to log2FC values (>0) and P-value <0.05. Results: There was more upregulation of genes like HLA-DPB1, HLA-DQB1, ABCA1 etc. as compared to downregulated genes in pre-treated group of breast carcinoma with to post-treated group. Most upregulated genes in pre-treated group with respect to control was HLA-DPB1 and HLA-DQB1 with log2fold change of 11.92 and 9.45 respectively. Most downregulated gene was ITLN1 Gene - Intelectin 1 (associated with type 2 diabetes mellitus and pleuropneumonia) with log2fold change of -7.74 with respect to control group. Conclusion: In order to arrive at more efficient and trustworthy therapies, potentially within a highly personalized and tailored pharmacotherapeutic framework, scientists and healthcare providers can additionally employ pharmacogenomic correlation as a vital method to determine the underlying pathophysiology and metabolomics of the particular fundamental disease.


Keywords: Breast Cancer, Type 2 Diabetes Mellitus, mRNA, Gene Expression


Edition: Volume 12 Issue 9, September 2023,


Pages: 553 - 559


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top