Hepatocellular Carcinoma (HCC) in North-Western India: A Retrospective Study Focusing on Epidemiology, Risk Factors, and Survival

Abstract

Hepatocellular carcinoma (HCC) is an aggressive tumour with unpredictable outcome. It is fourth most common cause of cancers in India. However, information on HCC is inadequate in India. Therefore, the purpose of study is to determine overall survival for patients diagnosed with HCC and association between various predictive factors and survival. Retrospectively 59 patients of HCC presenting to the radiotherapy out-patient department of our institute from April 2015 to April 2018 were included in the study. The median overall survival (OS) was 5 months ranging from 0 to 13 months. Majority of patients were in advance stage (III/IV). All patient died by 13 months. None of the possible predictive factors were found to be significantly associated with survival (p\u2009>\u20090.05) by univariate analysis. However, age\u2009<\u200959 years, male gender, KPS\u2009≤\u200960, AFP\u2009≥\u2009400, cirrhosis, multifocality, tumour size\u2009>\u200910 cm, advance stage (IIIB/IV), Child–Pugh score B/C, CLIP score\u2009≥\u20094, and raised bilirubin level had poorer survival compared to other predictive factors. Median survival was better in patient treated with TACE followed by sorafenib\u2009+\u2009palliative care group (9 months) then sorafenib\u2009+\u2009palliative care and palliative care alone group (5 and 4 months respectively). Although results were not statistically significant (p\u2009=\u20090.133). Amongst all possible variables, highest hazard was found with multifocal lesion (2.058) and results were statistically significantly (p\u2009=\u20090.045, 95% confidence interval: 0.922 to 4.590) as compared to unifocal lesion with median survival period of 7 vs 9.5 months by Kaplan–Meier survival curve analysis using log rank test. Multifocality was independent predicator for poor survival in HCC. Further clinical studies are necessary to improve the outcomes of patients with high risk features.