Serological and oncoinformatic analysis of HbA1c as a prognostic biomarker in screening the risks of different cancers among the male T2D patients of Bangladesh

Abstract

Hemoglobin A1C (HBA1c) represents the average serological sugar status of T2D patients of the past three months, considered a clinically standard method of studying sugar metabolism. Overexpressing HbA1 can metabolically forecast the risk of different cancers among T2D patients. Based on this, the study aimed to analyze the impact of sugar metabolism in cancer development considering the overexpression of HbA1 as the prognostic biomarker of screening the risks of eight different cancers among the chronic male T2D patients of Bangladesh. Serological analysis of the concentrations of FBS, THABF, creatinine, SC, STGs, HDLC, and LDLC of the T2D patients was conducted in response to their individual HbA1c concentration. Afterward, HbA1 overexpression and promotor-methylation responsible for BLCA, BRCA, CHOL, COAD, LUAD, LUSC, PAAD, and PRAD cancers in the male T2D patients were profiled as the oncoinformatic screening, where the sample types used, individual cancer stages, racial-footprints, gender, age, nodal metastasis, p53-methylations, pancreatitis, diabetes status, smoking behaviors, and survivability status were studied. Finally, the genetic involvement of a group of genes responsible for genetic co-expression of HbA1, endophytic vesicle regulation, antioxidant regulation, and reactive oxygen species based-metabolic regulation in T2D males was identified and comprehensively discussed. The research revealed a significant correlation between BMI and FBS in both the patient and the control groups (p<0.0001). Besides, FBS, THABF, and creatinine were found significantly regulated with their respective HbA1c concentrations (p<0.0001) for each group. The SC, STGs, HDLC, and LDLC regulated ardently and equally for both groups (p<0.0001), while HbA1c ranged from 3.8-5.8% and 5.11-15.8%, for the controls and patients respectively. HbA1 was found interactive with diversified cancer-causing genes, while HbA1 was mostly downregulating with the progressing metastasis. To receive maximum benefits from using HbA1c in clinical profiling of cancer risks among chronic-male T2D patients in minimal time and expense further studies can be needed with a larger sample size.