RESUMEN
Aim: Endometrial carcinoma (EC) data from India are very sparse. We did a retrospective analysis of our patients registered at this peripheral cancer center based in rural Punjab and studied their outcome. Materials and Methods: Ninety-eight Stage I and II EC patients with endometroid histology registered at our institute from January 2015 to April 2020 were studied for demography, histopathology, treatment received, and outcomes. FIGO 2009 staging and new European Society for Medical Oncology (ESMO) risk group classification was used. Results: Our patients had a median age of 60 years (range 32-93 years). There were 39 (39.8%), 41 (42.0%), 4 (4.1%), 12 (12.2%) patients in the low risk, intermediate risk (IR), high intermediate risk, and high risk groups, respectively, as per new ESMO risk classification. Two (2.0%) patients had incomplete information to assign them to a particular risk group. Fifty (46.7%) patients underwent complete surgical staging and 54 (50.5%) patients received adjuvant RT. With a median follow-up of 27.0 months, there were 1 locoregional and 2 distant recurrences. There were 8 deaths in total. Three-year overall survival for the entire group is 90.6%. Conclusions: The risk group determines adjuvant treatment in endometrial cancer. Patients operated at dedicated cancer center tend to have better surgical staging and thus better outcome because of better risk stratification and grouping for adjuvant therapy. IR histology was more common in our group of patients, which is variable as compared to available literature.
Asunto(s)
Neoplasias Endometriales , Femenino , Humanos , Adulto , Persona de Mediana Edad , Anciano , Anciano de 80 o más Años , Estudios Retrospectivos , Estadificación de Neoplasias , Neoplasias Endometriales/epidemiología , Neoplasias Endometriales/terapia , Factores de Riesgo , Terapia Combinada , Radioterapia Adyuvante , Resultado del Tratamiento , Recurrencia Local de Neoplasia/epidemiología , Recurrencia Local de Neoplasia/patologíaRESUMEN
AIMS: To derive cut-points for body mass index (BMI) and waist circumference (WC) for minority ethnic groups that are risk equivalent based on endogenous glucose levels to cut-points for white Europeans (BMI 30 kg/m2; WC men 102 cm; WC women 88 cm). MATERIALS AND METHODS: Cross-sectional data from participants aged 40-75 years: 4,672 white and 1,348 migrant South Asian participants from ADDITION-Leicester (UK) and 985 indigenous South Asians from Jaipur Heart Watch/New Delhi studies (India). Cut-points were derived using fractional polynomial models with fasting and 2-hour glucose as outcomes, and ethnicity, objectively-measured BMI/WC, their interaction and age as covariates. RESULTS: Based on fasting glucose, obesity cut-points were 25 kg/m2 (95% Confidence Interval: 24, 26) for migrant South Asian, and 18 kg/m2 (16, 20) for indigenous South Asian populations. For men, WC cut-points were 90 cm (85, 95) for migrant South Asian, and 87 cm (82, 91) for indigenous South Asian populations. For women, WC cut-points were 77 cm (71, 82) for migrant South Asian, and 54 cm (20, 63) for indigenous South Asian populations. Cut-points based on 2-hour glucose were lower than these. CONCLUSIONS: These findings strengthen evidence that health interventions are required at a lower BMI and WC for South Asian individuals. Based on our data and the existing literature, we suggest an obesity threshold of 25 kg/m2 for South Asian individuals, and a very high WC threshold of 90 cm for South Asian men and 77 cm for South Asian women. Further work is required to determine whether lower cut-points are required for indigenous, than migrant, South Asians.