Investigator

Md. Rezanur Rahman

Postdoctoral Research Officer · QIMR Berghofer Medical Research Institute

About

MRRMd. Rezanur Rahman
Papers(1)
An integrated bioinfo…
Collaborators(5)
Mohammad Abu Hena Mos…Munzura KhatunPolash Kumar BiswasRizone Al HasibAbu Reza
Institutions(2)
Iraqi UniversityKonkuk University

Papers

An integrated bioinformatics and multi-omics investigation of the sirtuin family to identify their prognostic importance in human cancers

Background In recent years, the significance of sirtuins in cancer biology has become increasingly evident, but their molecular mechanisms and prognostic impacts remain elusive. Objective The present study aimed to investigate the differential expression of the sirtuin gene family across cancers and to evaluate their prognostic value. Methods We used various bioinformatics databases and methodologies, including Oncomine, GEPIA, OncoDB, cBioPortal, R2 Kaplan-Meier Scanner, STRING, etc., to determine the expression pattern of the sirtuin family genes, along with their mutations and prognostic values in human cancers. Results In the current study, SIRT1 , SIRT2 , SIRT4 , and SIRT5 were downregulated in lymphoma, whereas SIRT6 and SIRT7 were overexpressed. In breast cancer, SIRT3 , SIRT5 , and SIRT7 were overexpressed, and in terms of kidney cancer, higher expression of SIRT2 , SIRT3 , and SIRT5 was observed. In contrast, for leukemia, bladder, and brain cancers, most sirtuin family members showed reduced expression. We found that most mutations occurred in uterine cancer, chRCC (chromophobe renal cell carcinoma), DLBCL (diffuse large B-cell lymphoma), melanoma, pRCC (papillary renal cell carcinoma), and esophageal cancer. Moreover, we identified the relevant functional proteins through protein-protein interaction analysis to evaluate copy number alterations (CNAs) in sirtuins. The most frequent alterations were amplifications and deep deletions. Survival analysis demonstrated that SIRT1 and SIRT2 overexpression correlated with improved overall survival in low-grade glioma but predicted poorer outcomes in ovarian cancer. Downregulation of SIRT1 , SIRT3 , and SIRT5 was associated with better prognosis in DLBCL, while SIRT3 and SIRT4 upregulation predicted favorable survival in testicular germ cell tumors. SIRT6 overexpression was linked to favorable prognosis in esophageal carcinoma and sarcoma, while unfavorable outcomes were observed in hepatocellular carcinoma and cholangiocarcinoma. SIRT7 upregulation was significantly associated with reduced survival in esophageal, liver, and uterine cancers, but surprisingly correlated with improved outcomes in urothelial carcinoma and cervical squamous cell carcinoma. Conclusions Together, this multi-omics analysis reveals the correlation and prognostic values of sirtuins across multiple types of human cancers and suggests that sirtuins may serve as promising biomarkers for different cancers.

19Works
1Papers
5Collaborators
PrognosisBiomarkers, TumorNeoplasmsDisease ProgressionNervous System DiseasesAlzheimer DiseaseBrain Ischemia

Positions

2025–

Postdoctoral Research Officer

QIMR Berghofer Medical Research Institute

2024–

Research Assistant

QIMR Berghofer Medical Research Institute

2018–

Lecturer

Khwaja Yunus Ali University · Department of Biochemistry and Biotechnology, School of Biomedical Science

Education

2025

PhD

The University of Queensland · Queensland Brain Institute

2016

Master of Science

Islamic University · Biotechnology and Genetic Engineering

2016

Course"Role of NMR Spectroscopy in Structural Biology, Metabonomics and Drug Discovery"

International Center for Genetic Engineering and Biotechnology (ICGEB)

2015

Bachelor of Science (Hounours)

Islamic University · Dept. of Biotechnology and Genetic Engineering

Country

BD

Keywords
BioinformaticsMulti-omicsGWASStatistical Genetics