PMID- 38114687
OWN - NLM
STAT- MEDLINE
DCOM- 20231221
LR  - 20231228
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 13
IP  - 1
DP  - 2023 Dec 18
TI  - Gene expression profiling and protein-protein network analysis revealed 
      prognostic hub biomarkers linking cancer risk in type 2 diabetic patients.
PG  - 22605
LID - 10.1038/s41598-023-49715-9 [doi]
LID - 22605
AB  - Type 2 diabetes mellitus (T2DM) and cancer are highly prevalent diseases imposing 
      major health burden globally. Several epidemiological studies indicate increased 
      susceptibility to cancer in T2DM patients. However, genetic factors linking T2DM 
      with cancer have been poorly studied. In this study, we followed computational 
      approaches using the raw gene expression data of peripheral blood mononuclear 
      cells of T2DM and cancer patients available in the gene expression omnibus (GEO) 
      database. Our analysis identified shared differentially expressed genes (DEGs) in 
      T2DM and three common cancer types, namely, pancreatic cancer (PC), liver cancer 
      (LC), and breast cancer (BC). The functional and pathway enrichment analysis of 
      identified common DEGs highlighted the involvement of critical biological 
      pathways, including cell cycle events, immune system processes, cell 
      morphogenesis, gene expression, and metabolism. We retrieved the protein-protein 
      interaction network for the top DEGs to deduce molecular-level interactions. The 
      network analysis found 7, 6, and 5 common hub genes in T2DM vs. PC, T2DM vs. LC, 
      and T2DM vs. BC comparisons, respectively. Overall, our analysis identified 
      important genetic markers potentially able to predict the chances of PC, LC, and 
      BC onset in T2DM patients.
CI  - (c) 2023. The Author(s).
FAU - Kasera, Harshita
AU  - Kasera H
AD  - Department of Bioscience and Bioengineering, Indian Institute of Technology 
      Jodhpur, NH 62, Nagaur Road, Karwar, Jodhpur, Rajasthan, 342037, India.
FAU - Shekhawat, Rajveer Singh
AU  - Shekhawat RS
AD  - Department of Bioscience and Bioengineering, Indian Institute of Technology 
      Jodhpur, NH 62, Nagaur Road, Karwar, Jodhpur, Rajasthan, 342037, India.
FAU - Yadav, Pankaj
AU  - Yadav P
AD  - Department of Bioscience and Bioengineering, Indian Institute of Technology 
      Jodhpur, NH 62, Nagaur Road, Karwar, Jodhpur, Rajasthan, 342037, India. 
      pyadav@iitj.ac.in.
FAU - Singh, Priyanka
AU  - Singh P
AD  - Department of Bioscience and Bioengineering, Indian Institute of Technology 
      Jodhpur, NH 62, Nagaur Road, Karwar, Jodhpur, Rajasthan, 342037, India. 
      priyankasingh@iitj.ac.in.
LA  - eng
GR  - BT/GenomeIndia/2018/Department of Biotechnology, Ministry of Science and 
      Technology, India/
GR  - BT/12/IYBA/2019/02/Department of Biotechnology, Ministry of Science and 
      Technology, India/
GR  - 55/14/02/2021-BRNS/10206/Board of Research in Nuclear Sciences/
GR  - ECR/2017/001410/Science and Engineering Research Board/
PT  - Journal Article
DEP - 20231218
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
RN  - 0 (Genetic Markers)
RN  - 0 (Biomarkers)
SB  - IM
MH  - Humans
MH  - *Diabetes Mellitus, Type 2/complications/genetics/metabolism
MH  - Prognosis
MH  - Leukocytes, Mononuclear/metabolism
MH  - Gene Expression Regulation, Neoplastic
MH  - Gene Expression Profiling
MH  - Genetic Markers
MH  - Computational Biology
MH  - Biomarkers
MH  - Gene Regulatory Networks
MH  - *Neoplasms/genetics
PMC - PMC10730526
COIS- The authors declare no competing interests.
EDAT- 2023/12/20 06:41
MHDA- 2023/12/21 06:42
PMCR- 2023/12/18
CRDT- 2023/12/19 23:48
PHST- 2023/07/27 00:00 [received]
PHST- 2023/12/11 00:00 [accepted]
PHST- 2023/12/21 06:42 [medline]
PHST- 2023/12/20 06:41 [pubmed]
PHST- 2023/12/19 23:48 [entrez]
PHST- 2023/12/18 00:00 [pmc-release]
AID - 10.1038/s41598-023-49715-9 [pii]
AID - 49715 [pii]
AID - 10.1038/s41598-023-49715-9 [doi]
PST - epublish
SO  - Sci Rep. 2023 Dec 18;13(1):22605. doi: 10.1038/s41598-023-49715-9.