A Clinicopathological and Survival Analysis of Non-squamous Cervical Cancers in India

Abstract

Aim and Objective: An clinicopathological and survival analysis 22 cases cases of nonsquamous carcinomas of cervix from 2010- 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. Materials and Methods: The hps confirmed cases of nonsquamous carcinoma of cervix were included in the studyand few cases were ihc confimed. Inclusion Criteria: Primary non squamous cacinoma 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 [1-3]. 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 48months 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.