Colorectal cancers--experience at a regional cancer centre in India

Trop Gastroenterol. 2001 Apr-Jun;22(2):83-6.

Abstract

Background: The incidence of colorectal cancer (CRC) shows a wide geographic variation and India along with other Asian and African countries has a low incidence. Most patients present with advanced disease and no uniform treatment guidelines are followed at present.

Patients and methods: An audit of 91 patients treated as per IRCH protocol between June 1994 and Jun 2000 in a single surgical unit was performed.

Results: The mean age of patients was 45.3 years (18-90 years) and there was a predominance of rectal cancer patients (Rectal vs Colon = 76% vs 24%). Majority of the rectal cancers were low rectal cancers (67%) and abdominoperineal resection was the commonest surgical procedure performed(40). The inoperability rate was 24% and sphincter salvage rate was 13%. Seventy nine percent of patients had adenocarcinoma and 90% of CRC patients belonged to Astler-Collers stage B2 and C. A total of 37 patients also received adjuvant radiotherapy and only 39 out of 60 patients planned for adjuvant chemotherapy could complete the treatment. The operative mortality was 2.2% and morbidity was 18%. A total of 13 (14%) patients had relapse of disease (local 5, regional 3, distant 5).

Conclusions: A significant number of CRC patients in India present with advanced stage of disease and probably due to referral bias majority had low rectal cancers. By advocating multimodality protocols a good locoregional and systemic control can be achieved despite the advanced stage of presentation.

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Colectomy / methods
  • Colectomy / mortality
  • Colorectal Neoplasms / epidemiology*
  • Colorectal Neoplasms / pathology*
  • Colorectal Neoplasms / surgery
  • Female
  • Humans
  • Incidence
  • India / epidemiology
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Oncology Service, Hospital
  • Retrospective Studies
  • Risk Factors
  • Sex Distribution
  • Survival Analysis