An Clinicopathological and Survival Analysis of Non-Squamous Cervical Cancers at Ahpgic

Abstract

Aim and Objective: An clinicopathological and survival analysis 22 cases cases of no squamous carcinomas of cervix from2010- 2020 Primary objective: is to analyse the extent of microscopic parametrial involvement in early invasive non squamous carcinoma with respect to age,size of lesion,depth of invasion. To analyse the nodal status in clinically early invasive nonsquamous carcinoma with respect to other variable i.e age, tumor size, depth of invasion, parametrial involvement. Secondary Objective: was to analyse the survival status, of after radical hysterectomy and adjuvant therapy. Material and Methods: The hps confirmed cases of no squamous carcinoma of cervix were included in the study and few cases were ihc confirmed. Inclusion Criteria: Primary non-squamous carcinoma of cervix hps confirmed. Exclusion Criteria: Squamous carcinoma and metastatic carcinoma of cervix Methods: Regression analysis chi square, log rank test. Kaplan Meyers curve was used for survival analysis. Results: On regression analysis with dependent variable as the pelvic node was analysed with age, depth of invasion and size of lesion and parametrium, none of factors were significantly influencing the nodal status. Similarly, the parametrium positivity taken as the dependent variable was analysed with age, size of lesion, depth of invasion. None of the factors could predict the parametrial involvement. Overall 5-year survival probability for the patients is 0.770 i.e 55 months with 95% CI (0.570, 1.000). Here, the 5-year survival probability for the patients with parametrium positive status is 0.917i.e 48 months 95% CI (0.773, 1.000). The log rank test for change in survival between two parametrium groups i.e., negative and positive patients gives chi-square value 3.59 (d.f =1, p-value = 0.06), which indicates two groups do not differ in their survival. Disease free survival of the parametrium –ve/ parametium+ve(60/24 mths). The log rank test for change in survival between two parametrium groups i.e., negative and positive patients gives chi-square value 2.8 (d.f.=1, p-value = 0.1), which indicates two groups do not differ in their disease free survival.