MORPHOLOGIC SPECTRUM AND CLINICO-PATHOLOGICAL CORRELATION OF GASTROINTESTINAL STROMAL TUMOURS: AN EXPERIENCE OF SIX YEARS AT A TERTIARY CARE HOSPITAL.

• Main Authors: Asim Qureshi, Hina Tariq, Zafar Ali, Nadira Mamoon, Imran N Ahmed, Asna H Khan, Humaira Nasir
• Format: Article
• Language: English
• Published: Shaukat Khanum Memorial Trust 2016-12-01
• Series: Journal of Cancer and Allied Specialties
• Online Access: http://journals.sfu.ca/jcas/index.php/jcas/article/view/87

Objective: The objective of this study was to determine the morphologic spectrum and risk category of gastrointestinal stromal tumour (GIST) and compare with overall patient survival. Materials and Methods: It is a descriptive observational study. The study was carried at Shifa International Hospital, Islamabad. Duration of the study was from January 2009 to January 2015. A total of 31 patients with the diagnosis of GIST were included, irrespective of age and gender. Data were retrieved from laboratory information system. Results were analysed by statistical software, Statistical Package of the Social Sciences. Morphologic type, site of tumour, risk category and overall survival were determined and mean, standard deviation, frequencies and percentages were calculated for age site and risk category. Results: Of 31 patients, 21 (67.7%) were male and 10 (32.3%) were female. Site of tumour was as follows: Gastric 13 (41.9%), extra visceral 6 (19.4%), small intestine 9 (29.0%), rectum 2 (6.5%) and pancreas 1 (3.2%). According to risk categorisation, one was categorised as (3.2%) very low risk, 3 (9.7%) low risk, 5 (16.1%) intermediate risk and 22 (71%) high risk. Follow-up was available in 21 patients. 7 patients (22.5%) lost to follow-up. 8 (25%) had recurrence and 4 (12.9%) died. Conclusion: Majority of cases diagnosed at our centre were gastric in origin followed by small intestine, and as per risk categorisation, most were high risk. Patient survival with high-risk tumours was dismal. Key words: Gastrointestinal stromal tumour, immunohistochemistry, risk categorisation