Clinicopathologic classification of endometrial cancer imperfectly reflects the tumor biology. Pathologic categorization - especially in high-grade tumors - results in an imprecise estimation of the risk of disease, recurrence, and death. Molecular subtyping is emerging as the standard of care in diagnosis and treatment of endometrial cancers. Molecular markers are important prognostic factors in tumor dissemination and early recurrence of endometrial cancers. TP53 mutation is an important prognostic factor for both serous and endometrioid cancers. The study aims to compare the clinical profile and overall survival of endometrial cancers with and without p53 mutation. Sixty-three patients who underwent surgical staging for carcinoma endometrium were included in the study.TP53 mutation status was determined based on p53 expression by immunohistochemistry (IHC) as a p53 wild or p53 mutant type. Data were analyzed for the clinical profile, p53 mutation status on IHC, histological pattern, tumor grade, stage of the disease, lymph node spread, recurrence pattern, treatment received, 2-year disease-free survival, and overall survival. Recurrence was noted in 12.7% patients after 2-year follow-up, of which 75% patients had p53 mutation. Significant association was seen between p53 expression and high-grade tumors, stage, cervical involvement, and adnexal involvement. The 2-year overall survival of the p53 wild type was 97.2% and the p53 mutant type was 91.7%. The 2-year disease-free survival for the p53 wild type was 94.3% and the disease-free survival of the p53 mutant variety was 83.5%. The 2-year disease-free survival for endometrioid carcinoma with p53 wild type was 100% and p53 mutant variety was 86.2% ( value 0.033). About 15.9% (10) patients were reassigned to the high-risk group needing chemotherapy and radiation according to the ESGO ESTRO 2021 consensus classification, due to their p53 mutation status. IHC to assess somatic p53 mutation may be done in endometrial biopsies irrespective of their histology. This may help to identify that the aggressive tumors thereby help in tailoring surgery, planning adjuvant treatment, and follow-up.