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Original Article



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

Md. Al Hasibuzzaman, H.M. Iftekhar Alam, Md. Abdur Rashid Mia, Samarth Islam, Sabiha Sultana, Sharmin Ahmed, Afsana Masud, Samiur Rahman, Arysha Alif Khan, Fahmida Hoque Rimti, Ashrak Shad Pyash, Partha Biswas, Homayra Rahman Shoshi, Mahbuba Siddiquy, Fariha Hoque Rimu, Ramiza Nausheen Zaman, Mst. Umme Habiba.




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

Key words: HbA1c biomarker; Type 2 diabetes; Serological and oncoinformatic screening; Cancer risk profiling; Genetic overexpression; HbA1-promoter methylation






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