Breast cancer survival in India across 11 geographic areas under the National Cancer Registry Programme.

BACKGROUND: Population-based cancer survival is a key indicator for assessing the effectiveness of cancer control by a health care system in a specific geographic area. Breast cancer is the most common cancer among women in India, accounting for over one quarter of all female cancers. The objective of this study was to estimate the 5-year survival of female patients who were diagnosed with breast cancer between 2012 and 2015 from the existing Population-Based Cancer Registries (PBCRs) in India. METHODS: In total, 17,331 patients who had breast cancer diagnosed between 2012 and 2015 from 11 PBCRs were followed until June 30, 2021. Active methods were used to track the vital status of registered breast cancer cases. The study conducted survival analysis by calculating the difference between the date of first diagnosis and the date of death or censoring to estimate observed survival and relative survival using the actuarial survival approach and the Ederer-II approach, respectively. RESULTS: The 5-year age-standardized relative survival (95% confidence interval [CI]) of patients with breast cancer was 66.4% (95% CI, 65.5%-67.3%). Mizoram (74.9%; 95% CI, 68.1%-80.8%), Ahmedabad urban (72.7%; 95% CI, 70.3%-74.9%), Kollam (71.5%; 95% CI, 69.2%-73.6%), and Thiruvananthapuram (69.1%; 95% CI, 67.0%-71.2%) had higher survival rates than the national average. Conversely, Pasighat had the lowest survival rate (41.9%; 95% CI, 14.7%-68.6%). The 5-year observed survival rates for localized, regional, and distant metastasis in the pooled PBCRs were 81.0%, 65.5%, and 18.3%, respectively. CONCLUSIONS: The overall disparity in survival rates was observed across 11 PBCRs, with lower survival rates reported in Manipur, Tripura, and Pasighat. Therefore, it is imperative to implement comprehensive cancer control strategies widely throughout the country.

Economic evaluation of Mumbai and its satellite cancer registries: Implications for expansion of data collection.

BACKGROUND: The Mumbai Cancer Registry is a population-based cancer registry that has been in operation for more than five decades and has successfully initiated and integrated three satellite registries in Pune, Nagpur, and Aurangabad, each covering specific urban populations of the Indian state Maharashtra. Data collectors at the satellites perform data abstraction, but Mumbai carries out all other core registration activities such as data analysis and quality assurance. Each of the three satellite registries follows the same data collection methodology as the main Mumbai Cancer Registry. This study examines the cost of operating the Mumbai and its satellite cancer registries. METHODS: We modified and used the Centers for Disease Control and Prevention's (CDC's) International Registry Costing Tool (IntRegCosting Tool) to collect cost and resource use data for the Mumbai Cancer Registry and three satellites. RESULTS: Almost 60% of the registration expenditure was borne by the Indian Cancer Society, which hosts the Mumbai Cancer Registry, and more than half of the registry expenditure was related to data collection activities. Across the combined registries, 93% of the expenditure was spent on labor. Overall, registration activities had a low cost per case of 226.10 Indian rupees (or a little less than 4.00 US dollars in 2014 [used average exchange rate in 2014: 1 US $=60 Indian rupees]). CONCLUSION: The centralization of fixed-cost activities in Mumbai likely resulted in economies of scale in operating the Mumbai and satellite registries, which, together, report on almost 20,000 cancer cases annually. In middle-income countries like India, where financial resources are limited, the operational framework provided by the Mumbai and satellite registries can serve as a model for other registries looking to expand data collection.

HIV and cancer registry linkage identifies a substantial burden of cancers in persons with HIV in India.

We utilized computerized record-linkage methods to link HIV and cancer databases with limited unique identifiers in Pune, India, to determine feasibility of linkage and obtain preliminary estimates of cancer risk in persons living with HIV (PLHIV) as compared with the general population.Records of 32,575 PLHIV were linked to 31,754 Pune Cancer Registry records (1996-2008) using a probabilistic-matching algorithm. Cancer risk was estimated by calculating standardized incidence ratios (SIRs) in the early (4-27 months after HIV registration), late (28-60 months), and overall (4-60 months) incidence periods. Cancers diagnosed prior to or within 3 months of HIV registration were considered prevalent.Of 613 linked cancers to PLHIV, 188 were prevalent, 106 early incident, and 319 late incident. Incident cancers comprised 11.5% AIDS-defining cancers (ADCs), including cervical cancer and non-Hodgkin lymphoma (NHL), but not Kaposi sarcoma (KS), and 88.5% non-AIDS-defining cancers (NADCs). Risk for any incident cancer diagnosis in early, late, and combined periods was significantly elevated among PLHIV (SIRs: 5.6 [95% CI 4.6-6.8], 17.7 [95% CI 15.8-19.8], and 11.5 [95% CI 10-12.6], respectively). Cervical cancer risk was elevated in both incidence periods (SIRs: 9.6 [95% CI 4.8-17.2] and 22.6 [95% CI 14.3-33.9], respectively), while NHL risk was elevated only in the late incidence period (SIR: 18.0 [95% CI 9.8-30.20]). Risks for NADCs were dramatically elevated (SIR > 100) for eye-orbit, substantially (SIR > 20) for all-mouth, esophagus, breast, unspecified-leukemia, colon-rectum-anus, and other/unspecified cancers; moderately elevated (SIR > 10) for salivary gland, penis, nasopharynx, and brain-nervous system, and mildly elevated (SIR > 5) for stomach. Risks for 6 NADCs (small intestine, testis, lymphocytic leukemia, prostate, ovary, and melanoma) were not elevated and 5 cancers, including multiple myeloma not seen.Our study demonstrates the feasibility of using probabilistic record-linkage to study cancer/other comorbidities among PLHIV in India and provides preliminary population-based estimates of cancer risks in PLHIV in India. Our results, suggesting a potentially substantial burden and slightly different spectrum of cancers among PLHIV in India, support efforts to conduct multicenter linkage studies to obtain precise estimates and to monitor cancer risk in PLHIV in India.

Trends in mouth cancer incidence in Mumbai, India (1995-2009): An age-period-cohort analysis.

INTRODUCTION: Despite tobacco control and health promotion efforts, the incidence rates of mouth cancer are increasing across most regions in India. Analysing the influence of age, time period and birth cohort on these secular trends can point towards underlying factors and help identify high-risk populations for improved cancer control programmes. METHODS: We evaluated secular changes in mouth cancer incidence among men and women aged 25-74 years in Mumbai between 1995 and 2009 by calculating age-specific and age-standardized incidence rates (ASR). We estimated the age-adjusted linear trend for annual percent change (EAPC) using the drift parameter, and conducted an age-period-cohort (APC) analysis to quantify recent time trends and to evaluate the significance of birth cohort and calendar period effects. RESULTS: Over the 15-year period, age-standardized incidence rates of mouth cancer in men in Mumbai increased by 2.7% annually (95% CI:1.9 to 3.4), p<0.0001) while rates among women decreased (EAPC=-0.01% (95% CI:-0.02 to -0.002), p=0.03). APC analysis revealed significant non-linear positive period and cohort effects in men, with higher effects among younger men (25-49 years). Non-significant increasing trends were observed in younger women (25-49 years). CONCLUSIONS: APC analyses from the Mumbai cancer registry indicate a significant linear increase of mouth cancer incidence from 1995 to 2009 in men, which was driven by younger men aged 25-49 years, and a non-significant upward trend in similarly aged younger women. Health promotion efforts should more effectively target younger cohorts.

Paediatric retinoblastoma in India: evidence from the National Cancer Registry Programme.

BACKGROUND: Globally, retinoblastoma is the most common primary intraocular malignancy occurring in children. This paper documents the recent incidence rates of retinoblastoma by age and sex groups from the Population Based Cancer Registries (PBCRs) of Bangalore, Mumbai, Chennai, Delhi and Kolkata using the data from the National Cancer Registry Programme. MATERIALS AND METHODS: Relative proportions, sex ratio, method of diagnosis, and incidence rates (crude and age standardized) for each PBCR and pooled rates of the five PBCRs were calculated for the years 2005/06 to 2009/10. Standard errors and 95% confidence limits of ASIRs by sex group in each PBCR were calculated using the Poisson distribution. Standardised rate ratios of ASIR by sex group and rate ratios at risk were also calculated. RESULTS: The maximum retinoblastoma cases were in the 0-4 age group, accounting for 78% (females) and 81% (males) of pooled cases from five PBCRs. The pooled crude incidence rate in the 0-14 age group was 3.5 and the pooled ASIR was 4.4 per million. The pooled ASIR in the 0-4, 5-9 and 10-14 age group were 9.6, 2.0 and 0.1 respectively. The M/F ratio in Chennai (1.9) and Bangalore PBCRs (2.0) was much higher than the other PBCRs. Among the PBCRs, the highest incidence rate in 0-4 age group was found in males in Chennai (21.7 per million), and females in Kolkata (18.9 per million). There was a distinct variation in incidence rates in the PBCRs in different geographic regions of India.

Changing trends of chronic myeloid leukemia in greater Mumbai, India over a period of 30 years.

BACKGROUND: Little is known about burden of chronic myeloid leukemia (CML) in India. There is a recent interest to observe incidence and mortality because of advent of new diagnostic and treatment policies for CML. MATERIALS AND METHODS: We extracted data from the oldest population-based cancer registry of Mumbai for 30 years period from 1976-2005 to observe incidence and mortality rates of CML. We classified the data into four age groups 0-14, 15-29, 30-54 and 55-74 to observe incidence rates in the respective age groups. RESULTS: The age specific rates were highest for the age group of 55-74 years. No significant change in trends of CML was observed for 30 years period. However, there was a significant reduction in incidence rate for recent 15-years period (Estimated average annual percentage change=-3.9). No significant reduction in mortality rate was observed till 2005. CONCLUSION: The study demonstrates that age-specific rates for CML are highest in age group of 55-74 years, although they are lower compared to western populations. Significant reduction in incidence of CML in recent periods might be because of reduced misclassification of leukemias. The data of CML has to be observed for another decade to witness reduction in mortality because of changes in treatment management.