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Epidemiology of Cancer Incidence Estimates and Statistics 2000–2025: Analysis from National Cancer Registry Programme in India

CC BY 4.0 · Indian J Med Paediatr Oncol 2025; 46(03): 278-287

DOI: DOI: 10.1055/s-0044-1801767

Author : Sadanandam Vemula,Kalpanapriya Dhakshanamoorthy

Abstract

Introduction Several hospital-based and population-based cancer registries (PBCRs) have been collecting cancer data systematically since 1982, according to the National Cancer Registry Programme-National Centre for Disease Informatics and Research, an initiative of the Indian Council of Medical Research.

Objective Planning, observing, and assessing cancer control efforts require knowledge of current cancer statistics. This article's goal is to provide an update on cancer incidence projections for India by age groups, sex, and anatomical sites for the period 2020 to 2025.

Materials and Methods The cancer incidence, patterns, trends, projections, and mortality from 28 PBCRs were analyzed in this study, along with the kind of therapy and stage of presentation of cancer patients from 58 HBCRs (N = 667,666) from the pooled analysis for the composite period 2012 to 2016. Data regarding the population at risk were obtained from the Indian Census (2001 and 2011) to estimate the age- and sex-stratified population. To gain a better understanding of the epidemiology of cancer, the states and areas of the nation were divided into PBCR groups.

Results For both males and females, the districts with the highest age-adjusted incidence rates were Aizawl (269.4) and Papum Pare (219.8). It is anticipated that there will be 1392,179 cancer patients in India by 2020 and 1569,793 by 2025. In Delhi, the northern region of India, the incidence rates of tobacco-related malignancies were high (62.1% for men and 18.5% for women). High incidence rates were seen in the southern districts of Kollam (males: 52.9) and Bangalore (20.1), respectively. Age-adjusted rates (AARs) for males and females in Kolkata, East, were 42.3 and 13.7, respectively. Western cities with high AARs were Mumbai (18.2) and Ahmedabad Urban (54.3) for men and women, respectively. For lung cancer, in terms of male and female incidence rates, Aizawl district ranked highest at 38.8 and 37.9 per 100,000, respectively.

Conclusion This study offers a methodology for evaluating cancer trends and status in India. To meet the national targets for noncommunicable diseases and the sustainable development goals, it will direct adequate support for action to boost efforts to promote cancer prevention and control.

Keywords

cancer incidence - lung cancer - breast cancer - tobacco-related cancer - relative proportion
Supplementary Material

Publication History

Article published online:
04 February 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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Abstract

Introduction Several hospital-based and population-based cancer registries (PBCRs) have been collecting cancer data systematically since 1982, according to the National Cancer Registry Programme-National Centre for Disease Informatics and Research, an initiative of the Indian Council of Medical Research.

Objective Planning, observing, and assessing cancer control efforts require knowledge of current cancer statistics. This article's goal is to provide an update on cancer incidence projections for India by age groups, sex, and anatomical sites for the period 2020 to 2025.

Materials and Methods The cancer incidence, patterns, trends, projections, and mortality from 28 PBCRs were analyzed in this study, along with the kind of therapy and stage of presentation of cancer patients from 58 HBCRs (N = 667,666) from the pooled analysis for the composite period 2012 to 2016. Data regarding the population at risk were obtained from the Indian Census (2001 and 2011) to estimate the age- and sex-stratified population. To gain a better understanding of the epidemiology of cancer, the states and areas of the nation were divided into PBCR groups.

Results For both males and females, the districts with the highest age-adjusted incidence rates were Aizawl (269.4) and Papum Pare (219.8). It is anticipated that there will be 1392,179 cancer patients in India by 2020 and 1569,793 by 2025. In Delhi, the northern region of India, the incidence rates of tobacco-related malignancies were high (62.1% for men and 18.5% for women). High incidence rates were seen in the southern districts of Kollam (males: 52.9) and Bangalore (20.1), respectively. Age-adjusted rates (AARs) for males and females in Kolkata, East, were 42.3 and 13.7, respectively. Western cities with high AARs were Mumbai (18.2) and Ahmedabad Urban (54.3) for men and women, respectively. For lung cancer, in terms of male and female incidence rates, Aizawl district ranked highest at 38.8 and 37.9 per 100,000, respectively.

Conclusion This study offers a methodology for evaluating cancer trends and status in India. To meet the national targets for noncommunicable diseases and the sustainable development goals, it will direct adequate support for action to boost efforts to promote cancer prevention and control.

Keywords

cancer incidence - lung cancer - breast cancer - tobacco-related cancer - relative proportion

Introduction

Nowadays, one of the main causes of sickness and death worldwide is cancer, which is also a health concern. An estimated 70% increase in cancer incidence is predicted in the next 20 years, despite continuous global efforts to prevent cancer.[1] Noncommunicable diseases (NCDs) accounted for 71% of all fatalities worldwide.[2] According to estimates, NCDs caused 63% of deaths in India, with cancer being among the top causes (9%). It is acknowledged that cancer registries are essential parts of national initiatives to manage cancer.[3] Current data on cancer incidence, trends, and projections can be found in publications from both industrialized and developing nations. Many National Cancer Registry Programme (NCRP) cancer reports from various Indian registries have been made public.[4] [5] [6] Nearly half of the world's cancer cases and over half of cancer-related deaths occur in Asian nations, according to the GLOBOCAN 2018 database.[7] Research from both domestic and international sources indicates that the Indian subcontinent has seen a marked rise in the incidence, morbidity, and death related to cancer.[8] [9] [10] [11] [12]

In a population that is characterized by geography, population-based cancer registries (PBCRs) offer data on the incidence and prognosis of cancer. In addition, they offer the structure for evaluating community cancer control. The main applications of HBCRs are performance reviews of clinical trials and hospital cancer programs, which deal with the documentation of data on cancer patients seen in a specific hospital. The PBCR now serves a purpose besides only providing data on the prevalence of cancer in a certain catchment region.[13] The Indian Council of Medical Research (ICMR) program report 2020 predicts that, given present trends, there will be 13.9 lakh cancer cases in the country in 2020 and that number is likely to increase to 15.7 lakh by 2025. These approximations are derived from cancer-related data gathered from 28 PBCRs. Additionally, information on cancer was provided by 58 hospital-based cancer registries (HBCRs). There will be 3.7 lakh (27.1%) tobacco-related cancer cases worldwide in 2020, according to estimates. Among women, breast cancer accounts for an estimated 2.0 lakh cases (14.8%), whereas cervical cancer accounts for 0.75 lakh occurrences (5.4%). Gastrointestinal tract malignancies account for an estimated 2.7 lakhs (19.7%) of all cancer cases, affecting both men and women. The incidence of cancer per 100,000 people in the male population varies from 269.4 in Aizawl district (the highest in India) to 39.5 in Osmanabad and Beed district. Comparably, the incidence of cancer in female populations varies from 219.8 cases per 100,000 people in the Papum Pare district to 49.4 cases in the Osmanabad and Beed areas. Roughly 94,000 new cases of cervical cancer are expected to occur annually in India alone, where it accounts for 7.92% of all malignancies diagnosed in women globally.[14] [15] Breast cancer cases in Indian women have been discovered to be 10 years younger than in Western women, indicating that breast cancer develops earlier in premenopausal life in India.[16] [17] [18] [19]

Materials and Methods

Materials

Under the ICMR-NCDIR-NCRP (ICMR-National Centre for Disease Informatics and Research-NCRP), there are now 236 HBCRs and 36 PBCRs registered. However, this article contains data from 58 HBCRs and 28 PBCRs that have at least a year's worth of high-quality data. Both during and after data submission, the registration data are subjected to multiple quality checks. These include range, consistency, and family checks in accordance with the guidelines set forth by the International Association of Cancer Registries. Both the web-based PBCR data entry application and PBCRDM 2.1 include all the checks. After the changes are received, the registry database is updated with the list of instances that may have been incorrectly sent to the relevant registries for verification using the original medical records. The NCDIR-NCRP greatly facilitates cancer registration with innovative software applications. The desktop and web-based PBCR software performs quality checks (including consistency, range, improbable, and family), matching, and duplicate checks to ensure that the data are accurate and legitimate. Furthermore, duplicate names that sound similar but have different spellings are filtered out using a phonetics program. The software is used to identify fluctuations in the number of cancer cases over time from each source of registration so that the appropriate action can be taken. When mortality data and incidence are matched, the unmatched mortality cases are classified as either death certification only or death certificate notification. After obtaining clarification from each registry at each stage, the data are finalized and ready for further analysis.

Methods

Study Design

Secondary data from HBCRs and PBCRs were used in the study.

Primary and Secondary Outcomes

This study's primary outcome is to estimate India's cancer incidence utilizing HBCRs and PBCRs. The estimation of cancer cases projected for 2025 using age-specific incidence rate is the secondary outcome.

Statistical Analysis

The following formulas are used to compute the crude incidence rate, age-specific rate (ASpR), age-standardized rate, cumulative risk, and truncated age-adjusted incidence rate for the obtained data. The statistical software Joinpoint Regression Program, Version 4.7.0, is used to analyze trends using Joinpoint models, which are regression lines that are connected at many locations. In this article, the population estimates for the years 2012 and 2016 were computed using the difference distribution method (which estimates populations by five annual age groups) using data from the censuses of 2001 and 2011. The number of cancer cases in India for 2024 was then calculated by applying the age-standardized incidence rate (ASIR) of each distinct anatomical site for the years 2012 to 2016 to the predicted population. The total estimate of all site cancer was obtained by adding the cancer estimates for each individual anatomical site (International Classification of Diseases, Tenth Revision [ICD-10]: C00–C97). Utilizing the population-weighted average of the rates from the PBCRs, the pooled age, sex, and site-specific incidence rates were calculated. The 28 PBCRs were assumed to be representative of the nation with a steady incidence rate throughout time for the purpose of estimating the incidence of cancer.

Ethical Approval

This study received ethical approval from the Institutional Ethics Committee (IEC) of the National Centre for Disease Informatics and Research (NCDIR) under reference number NCDIR/IEC/3020/2020. Participating Population-Based and Hospital-Based Cancer Registries also obtained approval from their respective Ethics Committees and secured consent from local authorities, citizen groups, and community representatives.

Crude Incidence Rate

Crude rate (CR) is the rate found by dividing the total number of cancer cases by the corresponding mid-year population estimate and then multiplying the result by 100,000.


| Fig 1 :

Age-Specific Rate

ASpR is the rate determined by dividing the total number of cancer cases by the estimated population in that age group, gender, site, geographic area, and time, then multiplying the result by 100,000.


| Figure 2:

Age-Standardized Rate

Cancer incidence increases as age increases. Accordingly, the number of cancer cases increases with the percentage of the population that is older. The proportion of older people is higher in most developed and Western countries. Hence, age-adjusted rate (AAR) or age-standardized rate are calculated using a world standard population that accounts for this to make cancer rates comparable between nations. By collecting the ASpRs and applying them to the standard population in that age group, this is estimated using the direct technique[20] (Boyle and Parkin, 1991).


| Figure 3:

Cumulative Risk

The probability that a person would acquire a specific cancer at a given age, barring any other cause of death, is known as cumulative risk. An approximation of the cumulative risk is the cumulative rate (CuR). It is calculated by multiplying the yearly age-specific incidence rates by 5 (the 5-year age interval), times 100/100,000. This process is repeated for each 5-year age interval, up to 64 or 74 years of age, or for whatever age group is to be used to compute the cumulative risk.

| Figure 4:

Truncated Age-Adjusted Incidence Rate

This is similar to the age-adjusted rate, with the exception that it is based on a reduced age range of 35 to 64.

Results

Calculation of Cancer Incidence

The number of men and women covered by PBCRs is provided using data from 32 geographic locations. There are 865 girls for every 1,000 males in Mumbai PBCR, which has the lowest sex ratio in the data. In comparison to other PBCRs, the percentage of rural residents reporting was higher in the northeastern (NE) PBCRs. There are 12 pure urban PBCRs, 1 pure rural PBCR, and 15 PBCRs that cover the populations of both urban and rural areas in varying percentages. [Table 1] shows that the top five PBCRs with the highest number of cases registered were Thiruvananthapuram district (27,833), Bangalore (29,049), Chennai (31,271), Delhi (60,097), and Mumbai (53,714). With the exception of Manipur, Imphal West district, and Papum Pare district in Arunachal Pradesh, the majority of registries in the NE region of the country showed a greater percentage of cancer cases in men. Except for Delhi, the Kollam district, Kolkata, and Ahmedabad urban, there were more female cancer cases reported in other places.

Table 1

Total number of cancer cases registered in 28 PBCRs under NCRP

Crude Rate

According to [Table 2], Aizawl district (206.2) has the highest CR per 100,000 men, followed by Mizoram state (146.1), Kollam district (159.4), Kamrup urban (190.5), and Thiruvananthapuram district (170.4). Similarly, the district with the highest CR for females is Aizawl (174.6), followed by Kollam (139.1), Chennai (141.4), Kamrup urban (150.8), and Thiruvananthapuram (164.8). Greater crude incidence rates in both males and females have been reported by the registries covering the country's NE and southwest coastal regions.

S. No

Registry

Males

Females

Total

NORTH

n

%

n

%

N

1

Delhi (2012–14)

31,032

51.6

29,065

48.4

60,097

2

Patiala (2012–16)

5,394

47.0

6,077

53

11,471

SOUTH

3

Hyderabad (2012–14)

5,143

44.4

6,453

55.6

11,596

4

Kollam (2012–16)

9,930

50.4

9,780

49.6

19,710

5

Thiruvananthapuram (2012–16)

13,506

48.5

14,327

51.5

27,833

6

Bangalore (2012–14)

13,221

45.5

15,828

54.5

29,049

7

Chennai (2012–14)

14,468

46.3

16,803

53.7

31,271

EAST

8

Kolkata (2012–2015)

10,186

52.7

9,151

47.3

19,337

WEST

9

Ahmedabad urban (2012–2016)

14,579

56.9

11,025

43.1

25,604

10

Aurangabad (2012–2016)

1,923

49.0

2,001

51.0

3,924

11

Osmanabad and Beed (2012–2015)

3,635

44.9

4,467

55.1

8,102

12

Barshi rural (2012–2016)

726

47.2

813

52.8

1,539

13

Mumbai (2012–2015)

26,256

48.9

27,458

51.1

53,714

14

Pune (2012–2016)

9,687

47.2

10,818

52.8

20,505

CENTRAL

15

Wardha district (2012–2016)

2,389

48.5

2,537

51.5

4,926

16

Bhopal (2012–2015)

3,567

49.8

3,589

50.2

7,156

17

Nagpur (2012–2016)

5,952

49.6

6,047

50.4

11,999

NORTHEAST

18

Manipur state (2012–2016)

3,702

45.1

4,500

54.9

8,202

19

Mizoram state (2012–2016)

4,323

53.6

3,736

46.4

8,059

20

Sikkim state (2012–2016)

1,172

50.9

1,131

49.1

2,303

21

Tripura state (2012–2016)

6,559

57.2

4,914

42.8

11,473

22

West Arunachal (2012–2016)

1,222

51.1

1,171

48.9

2,393

23

Meghalaya (2012–2016)

4,688

62.3

2,832

37.7

7,520

24

Nagaland (2012–2016)

1,403

58.6

992

41.4

2,395

25

Pasighat (2012–2016)

321

51.4

303

48.6

624

26

Cachar district (2012–2016)

4,663

54.2

3,943

45.8

8,606

27

Dibrugarh district (2012–2016

2,535

53.1

2,238

46.9

4,773

28

Kamrup urban (2012–2016)

6,223

56.5

4,790

43.5

11,013
Table 2

Incidence rates: CR, AAR, and TR (35–64 years) per 100,000 population for all sites of cancer in 28 PBCRs under NCRP

Abbreviations: ARR, age-adjusted rate; CR, crude rate; NCRP, National Cancer Registry Programme; PBCR, population-based cancer registry; TR, truncated rate.

Age-Adjusted Rates

Osmanabad and Beed in Maharashtra have an AAR of 369.5, whereas Aizawl in the state of Mizoram has an AAR of 269.4. East Khasi Hills in Meghalaya has an AAR of 227.9. Under the West Arunachal PBCR, the female population varied from 49.4 in the Osmanabad and Beed districts to 219.8 in the Papum Pare district, with Aizawl district coming in second at 214.1.

Truncated Rates

Between Osmanabad and Beed district (71.5) and East Khasi Hills district (494.5), there was a variation in the truncated rate (TR) per 100,000 population for men; Aizawl district came in second with 485.5. The range for females was likewise 108.2 in the Osmanabad and Beed districts to 499.0 in the Papum Pare, Arunachal Pradesh area.

The estimated top sites of cancer cases by time periods (2015, 2020, and 2025) are shown in [Table 3]. All-site cancers in females are expected to rise to 806,218 in 2025 from 627,202 in 2015, whereas in males they are expected to rise to 763,575 in 2025 from 601,737 in 2015. As of 2025, the number of males and females with anticipated leading cases of lung and breast cancer, respectively, would be 81,219 and 232,832 accordingly. Between 2015 and 2025, there is projected to be a 27.7% increase in cancer cases across all sites combined.

S. No

Registry

Males

Females

CR

ARR

TR

CR

ARR

TR

NORTH

1

Delhi (2012–2014)

112.3

147.0

232.2

119.6

141.0

279.0

2

Patiala district (2012–2016)

101.6

108.2

196.4

127.7

124.6

271.4

SOUTH

3

Hyderabad district (2014–2016)

84.2

101.6

172.2

109.8

136.0

278.3

4

Kollam district (2012–2016)

159.4

127.7

198.0

139.1

107.1

205.7

5

Thiruvananthapuram district (2012–2016)

170.4

137.8

211.5

164.8

127.3

242.8

6

Bangalore (2012–2014)

96.8

122.1

181.7

125.1

146.8

283.6

7

Chennai (2012–2016)

121.8

119.9

185.2

141.4

132.8

260.5

EAST

8

Kolkata (2012–2015)

109.9

91.2

145.2

105.9

89.2

175.9

WEST

9

Ahmedabad urban (2012–2016)

89.1

98.3

183.2

74.7

76.7

158.0

10

Aurangabad (2012–2016)

56.6

70.9

121.6

62.9

75.1

158.5

11

Osmanabad and Beed (2012–2015)

39.3

39.5

71.5

52.8

49.4

108.2

12

Barshi rural (2012–2016)

53.9

50.6

80.5

67.2

61.0

126.5

13

Mumbai (2012–2015)

97.3

108.4

155.1

117.6

116.2

207.6

14

Pune (2012–2016)

67.5

83.0

120.0

83.3

94.0

177.7

CENTRAL

15

Wardha district (2012–2016)

70.4

64.5

109.7

78.7

69.9

148.9

16

Bhopal (2012–2015)

83.3

101.0

180.0

90.4

106.9

223.3

17

Nagpur (2012–2016)

89.0

91.1

158.6

93.1

89.8

188.2

NORTHEAST

18

Manipur state (2012–2016)

47.0

62.8

91.0

57.8

71.1

129.6

19

Mizoram state (2012–2016)

146.1

207.0

357.7

127.5

172.3

313.2

20

Sikkim state (2012–2016)

69.9

88.7

131.5

75.3

97.0

175.2

21

Tripura state (2012–2016)

67.0

80.9

145.9

52.0

58.3

127.3

22

West Arunachal (2012–2016)

56.6

101.1

199.9

56.3

96.3

215.7

23

Meghalaya (2012–2016)

92.6

176.8

386.0

55.7

96.5

201.1

24

Nagaland (2012–2016)

74.5

124.5

223.8

56.3

88.2

193.6

25

Pasighat (2012–2016)

90.7

120.4

207.6

88.1

116.2

260.3

26

Cachar district (2012–2016)

99.2

129.0

233.4

87.0

104.8

234.2

27

Dibrugarh district (2012–2016)

72.5

91.9

155.9

66.0

76.8

170.7

28

Kamrup urban (2012–2016)

190.5

213.0

339.7

150.8

169.6

320.8
Table 3

Estimated trends in number of cancers for the leading sites (ICD-10 codes) in India (2015, 2020, and 2025)

The top five cancer sites in men expected in the year 2024 are the mouth (8.9%), tongue (6.3%), stomach (5.2%), prostate (6.5%), and lung (11%). They are also shown in [Figs. 1] and [2]. Breast (30.1%), cervix (11.2%), ovary (6.6%), corpus uteri (4.1%), and lung (4%) were the estimated top five sites of cancer in women. Males were more likely to have liver cancer (4.2%) among the top 10 cancers than females, whereas females were more likely to have thyroid (3.8%) and gallbladder (3%) cancers.

Males

Females

Cancer site (ICD 10)

2015

2020

2025

Cancer site (ICD 10)

2015

2020

2025

Lung (C33–34)

63,087

71,788

81,219

Breast (C50)

180,252

205,424

232,832

Mouth (C03–C06)

50,779

57,380

64,519

Cervix (C53)

65,978

75,209

85,241

Prostate (C61)

36,419

41,532

47,068

Ovary (C56)

38,607

43,886

49,644

Tongue (C01–C02)

35,336

39,902

44,861

Corpus uteri (C54)

23,175

26,514

30,121

Stomach (C16)

28,815

32,713

36,938

Lung (C33–34)

23,163

26,490

30,109

Others

387,301

436,106

488,970

Others

296,027

335,235

378,271

All sites

601,737

679,421

763,575

All sites

627,202

712,758

806,218

| Fig 1 : Estimated proportion of top 10 leading sites of cancer in India by sex, males 2024.

| Figure 2: Estimated proportion of top 10 leading sites of cancer in India by sex, females 2024.

According to age group (0–14, 15–39, 40–64, and 65 + ), [Table 4] presents the predicted top five sites of cancer (%) in India by gender for the year 2024. Lymphoid leukemia is the most common site in the childhood (0–14 years) group for both boys (29.06%) and girls (24.07%). Boys' brain nerve systems (NSs) come in second with 12.6% and girls' 14.17%, respectively. For males, in the 15- to 39-year-old age group, the most common sites are the mouth (12.6%), tongue (9.53%), brain NS (7.4%), myeloid leukemia (6.72%), and non-Hodgkin lymphoma (6.23%); for females, the most common sites are the breast (27.05%), thyroid (13.07), ovary (7.82%), cervix (6.69%), and myeloid leukemia (3.56%). The mouth (11.08%), tongue (7.52%), and lung (11.0%) were the most common sites among males in the 40 to 64 age group. The most common sites in females were the breast (32.3%), cervix (12.2%), and ovary (6.70%); there were high incidence of cases in this age range in both males (350,141) and females (439,960). In men over 65 years, the prostate (11.9%) was the second most common site after the lung (12.90%). Lung cancer was the most prevalent cancer in men over 40 years, while breast cancer was the most common in women.

Table 4

The estimated top five leading sites of cancer (number and proportion) in India by age group (0–14, 15–39, 40–64, and 65+ age groups) and sex for the year 2024

Abbreviations: NHL, non-Hodgkin lymphoma; NS, nervous system.

[Supplementary Fig. S1] (online only) shows India's projected ASIR and number of cancer patients by gender and age group over a 5-year period in 2024. In both males and females, the ASIR for all cancer sites began to rise at age 25. The ASIR was higher in females than in males between the ages of 25 and 59 years. The ASIR for males was higher than that of females above the age of 60, peaking at 710.8 per 100,000 at 75 years or older. In contrast, the ASIR fell to 452.7 per 100,000 in females aged 75 year and above. The age group of 60 to 64 years old had the greatest number of cancer cases (105,561 female cases and 106,542 male cases).

The Relative Proportion of Cancer Cases Across All Sites in Hospital-Based Cancer Registries

A total of 58 HBCR centers that have successfully finished data transmission and quality checks for 1 or more years between 2012 and 2016 were chosen for inclusion in the study out of the 236 HBCR centers registered with NCRP. Several of these hospitals' data (42 out of 58) are included in the NCDIR-NCRP network for the first time. The analysis excludes the remaining HBCRs due to insufficient data. According to pooled data from 58 HBCRs, the number and relative proportion of patients by treatment types, educational attainment, and clinical severity of disease at the time of diagnosis are shown for a few selected locations. The reporting institute (RI) has exclusively treated cases; instances that were previously processed outside of RI have not been analyzed. In relation to all instances of cancer with microscopically diagnosed tumors, the major histologic type (according to the World Health Organization categorization of tumors) and its relative proportion have been described for the 58 HBCRs in this study. Males made up 52.9% and females made up 47.1% of the 667,666 cases that were registered. Male and female cancer patients at Tata Memorial Hospital in Mumbai accounted for the greatest number of newly reported cases across all cancer sites. The relative proportion and new cases reported for all sites of cancer in 58 HBCRs is provided in [Supplementary Table S1] (online only).

Cancer Associated with Tobacco in Males and Females

It is established that tobacco use is linked to malignancies in several anatomical locations. The World Health Organization's monographs on general assessments of carcinogenicity, published by the International Agency for Research on Cancer (IARC) in 1987, have been the basis for the NCRP's classification system. More anatomical sites discussing the connection between tobacco use and cancer have been added to the most current IARC monographs. The following regions are used to group the data from all 58 HBCRs: North, South, East, West, Central, and North East. This is performed irrespective of the patient's residency status.

With a cancer incidence rate of 70.4% in men and 46.5% in women, the East Khasi Hills district of Meghalaya has the greatest relative proportion of malignancies linked to tobacco smoking. Thiruvananthapuram district had the lowest number of cancer sites associated with tobacco use (10.1%) among females, while West Arunachal had the lowest percentage among males (24.5%). The NE states of India had the highest percentage of female smokers with cancer, followed by the central and western regions of India with the highest number of registries. The relative proportion of specific sites of cancer associated with the use of tobacco by region is mentioned in [Supplementary Table S2] (online only).

Lung Cancer

The incidence rates of lung cancer in both males and females in the PBCRs of Bangalore, Delhi, Chennai, and Kamrup urban have significantly increased. In contrast to the 11 PBCRs involving females, 5 PBCRs involving males showed a statistically significant rise in incidence rates. In terms of male and female incidence rates, Aizawl district ranked highest at 38.8 and 37.9 per 100,000, respectively. Data on the overall number of lung cancer cases that have been reported, together with the disease's relative proportion and incidence rates, are included in [Supplementary Tables S3] and [S4] (online only).

Lung cancer rates among nonsmokers are increasing, and significant contributing factors are radon gas, indoor smoke from solid fuels, outdoor air pollution, and hazardous dust exposure. Other notable concerns include genetic predisposition and passive smoking. Preventive measures such as promoting smoke-free environments, improving indoor ventilation, and reducing air pollution can play a vital role in mitigating these risks.

Discussion

Cancer is not homogeneous in India. For both males and females, the incidence rates in Aizawl district were found to be seven times and four times higher, respectively, than those in Osmanabad and Beed district PBCRs. Compared with other parts of the nation, the NE region had the highest cancer incidence rate (six PBCRs for males and four PBCRs for females). Cancer was most common in the NE region in the following areas: stomach, liver, gallbladder, esophagus, nasopharynx, hypopharynx, cervix uteri, lung, and breast. The low 5-year survival rates of head and neck, breast, and cervical cancer in comparison to the rest of India indicate that the NE region lacks the necessary infrastructure in terms of specialist treatment facilities and human resources. A significant percentage of cancer patients from the NE region go outside of the region for their care. As shown in Thailand, the variety in cancer incidence pattern and variances in India may have been influenced by local cultural variables and lifestyle choices.

The most prevalent malignancies in men were those of the lung (9 PBCRs), mouth (9 PBCRs), esophagus (5 PBCRs), stomach (4 PBCRs), and nasopharynx (1 PBCR). The most common cancer in urban areas and the south was lung cancer, whereas the most common cancer in the west and central regions was mouth cancer. The most prevalent malignancies among men in the Indian subcontinent were lung and mouth cancers. Most cases in the NE part of India were stomach, nasopharyngeal, and esophageal cancers. Compared with the rest of India, this region has a different cancer incidence pattern. The cancer incidence pattern is comparable to that of Southeast Asia. All things considered, these cancer pattern findings aligned with previously released data under NCRP.

The hospital database was employed for this type of study since it is challenging to extract data from PBCRs regarding the clinical severity of the illness and its course of treatment. Most cases of cervix uteri and breast cancer were discovered after they were already locally progressed. The standard treatment for cervical cancer in locally advanced or metastatic stages is a combination of chemotherapy and radiation. Additionally, vascular endothelial growth factor inhibitors and immunotherapy have enhanced treatment options, providing a more comprehensive approach to managing the disease. In India, a multi-institutional study on cervix cancer revealed that, in the locally advanced stage, chemotherapy and radiation proved to be substantially more effective in survival than radiation therapy alone. Concurrent chemoradiation for locally advanced cervical cancer produced the best disease-free survival, according to a study from Chennai. When it came to head and neck malignancies from HBCRs, two-thirds of the patients had a locoregional cancer diagnosis. The data from Uttarakhand reveal a concerning trend in the diagnosis of head and neck cancer, with most patients (88.1%) presenting at advanced stages. This suggests that early detection methods are insufficient, highlighting the need for more effective screening programs and public awareness initiatives. The fact that only 8.5% of patients are diagnosed in the early stages points to a significant gap in health care practices, which could lead to worse outcomes for patients. To address this issue, focused efforts are required to raise awareness, enhance detection capabilities, and implement region-specific strategies for early diagnosis and intervention. This is particularly crucial in areas with high incidence rates of head and neck cancers, where timely treatment can significantly improve survival rates. According to an estimate from a multi-institutional study, poor survival occurred in 65% of newly diagnosed head and neck malignancies with locally advanced disease because they did not receive the best possible care.

The lack of notification for cancer makes it difficult to register cases in India and makes data collection more difficult.[21] [22] [23] [24] The anticipated cancer burden in India for 2001 was derived from the data obtained from the three PBCRs.[25] Updates to cancer estimates were released based on PBCRs that were available as a result of their expansion.[26] [27] [28] [29] Recently, GLOBOCAN estimated the cancer incidence in India for 2020 using data from 27 PBCRs from 2012 to 2014 and the ASIR, which estimates cancer incidence across five continents.[30] [31] Based on the assumption that the ASIR in 2020 would remain unchanged, China predicted the incidence for the year 2022.[32] There are various flaws in the mortality registration system, one of which is the erroneous and incomplete certification of the reason for death.[33] [34] A framework for evaluating India's cancer trends and status is provided by this research. As a result, the national NCD targets and the sustainable development goals will be met, and work to promote cancer prevention and control will receive the proper support.[8] [35]

Breast cancer is the leading cancer in women, with family history being a key risk factor. Women with close relatives who had breast cancer, especially at a young age, are at higher risk. Genetic testing can identify mutations in genes like BRCA1 and BRCA2, which significantly increase the risk of breast and ovarian cancers. Other genetic mutations, such as in PALB2 and CHEK2, can also raise risk. Genetic testing helps guide preventive measures and informed health decisions, though not all cases are hereditary. Family history and genetic testing are valuable for assessing risk and prevention.

Adolescent human papillomavirus (HPV) vaccination helps prevent cervical cancer by focusing on the virus that causes the disease. Early screening for women, such as Pap smears and HPV tests, can detect precancerous alterations in the cervix. Early treatment is possible with the timely discovery of these lesions, which lowers the risk of malignancy. Implementing screening and immunization initiatives can significantly reduce the incidence of cervical cancer. These preventive approaches decrease the burden of cervical cancer and improve overall health outcomes.

In conclusion, India's cancer incidence burden is still rising. Breast cancer ranked highest among the five most common cancers in women, followed by cancers of the cervix, ovary, and corpus uteri. Three sites were restricted to tobacco-related malignancies in males: the tongue, mouth, and lungs. To lessen the burden of cancer in the future, a preventative action must be performed. The updated estimates are beneficial for early diagnosis, risk reduction, and management initiatives related to cancer prevention and control in India. To go further into the causes of the cancer burden and offer practical remedies, however, appropriate research is required.

Limitations of the Study

There are several challenges to be addressed while registering a case in India to gather data, as cancer is not a disease that needs to be reported. Because of limits in the number of deaths from cancer, mortality data were incomplete due to inadequate coverage of the Civil Registration System. Accurate death statistics have proven difficult to obtain, and the quality of the data differs throughout PBCRs. As a result, no attempt was made to estimate incidence from death or survival. Statistical modeling techniques like age–period–cohort could not be included because most of the PBCRs did not have longer data periods available. In low- and middle-income nations, launching a PBCR presented several difficulties. For the goal of cancer control, a sample of regional PBCRs or a group of regional PBCRs with 10% of coverage would be very beneficial. This is the finest cancer data available in the nation for estimation under these circumstances. The burden estimates for India and a few of the neighboring nations in South Asia have been derived from GLOBOCAN and IARC using the identical PBCRs. In India, cancer incidence might be better covered with fewer resources if health care providers registered through passive notification. For the smooth enhancement of cancer statistics, cancer registries must be connected to many national and local databases (Ayushman Bharat, other insurance programs, mortality databases, Health Management Information System, etc.).

Conclusion

The NE region of India had the highest cancer incidence recorded. The most prevalent malignancies in men were those of the mouth, throat, stomach, and esophagus. The most prevalent malignancies in women were cervix uteri and breast cancer. Oropharyngeal, nasopharyngeal, hypopharyngeal, esophageal, stomach, liver, gall bladder, larynx, lung, and cervix uteri cancers had the highest cancer burden in the NE. For stomach and lung cancer, systemic therapy was the most often used form of treatment. In the world, people over 65 years account for half of all cancer cases, while in India, the proportion is one-third. In India, however, the 40- to 64-year-old age group accounts for half of the estimated cancer burden. According to estimates, the incidence of cancer cases will rise from 2.8% in 2020 to 12.8% in 2025. By 2025, 29.8 million disability-adjusted life years are expected to be caused by cancer in India, according to a recent NCRP study. The burden of cancer in the future must be decreased by taking a preventative action. When it comes to early detection, risk reduction, and management initiatives aimed at controlling cancer in India, the updated estimations are beneficial. But to address the causes of the cancer burden and offer practical remedies, adequate research is required.

Males

Females

Cancer site

n (%)

Cancer site

n (%)

0–14 years

 Lymphoid leukemia (C91)

6,365 (29.06)

Lymphoid leukemia (C91)

3,568 (24.07)

 Brain and NS (C70–C72)

2,740 (12.6)

Brain and NS (C70–C72)

2,100 (14.17)

 NHL (C82–86, C96)

1,720 (7.6)

Bone (C40–C41)

1,226 (8.27)

 Hodgkin's disease (C81)

1,624 (7.6)

Myeloid leukemia (C92–C94)

1,270 (8.56)

 Myeloid leukemia (C92–C94)

1,601 (7.31)

NHL (C82–86, C96)

953 (6.42)

 Other sites

7,848 (36)

Other sites

5,705 (38.5)

All sites

21,898 (100)

All sites

14,822 (100)

15–39 years

 Mouth (C03–C06)

10,122 (12.60)

Breast (C50)

27,562 (27.05)

 Tongue (C01–C02)

7,652 (9.53)

Thyroid (C73)

13,324 (13.07)

 Brain and NS (C70–C72)

5,923 (7.4)

Ovary (C56)

7,966 (7.82)

 Myeloid leukemia (C92–C94)

5,400 (6.72)

Cervix (C53)

6,821 (6.69)

 NHL (C82–86, C96)

5,012 (6.23)

Myeloid leukemia (C92–C94)

3,625 (3.56)

 Other sites

46,216 (57.5)

Other sites

42,568 (41.8)

All sites

80,325 (100)

All sites

101,866 (100)

40–64 years

 Lung (C33–34)

38,537 (11.0)

Breast (C50)

142,124 (32.3)

 Mouth (C03–C06)

38,800 (11.08)

Cervix (C53)

53,687 (12.20)

 Tongue (C01–C02)

26,354 (7.52)

Ovary (C56)

29,514 (6.70)

 Esophagus (C15)

19,964 (5.7)

Corpus uteri (C54)

20,142 (4.6)

 Stomach (C16)

19,231 (5.5)

Lung (C33–34)

15,841 (3.60)

 Other sites

207,254 (59.19)

Other sites

178,652 (40.6)

All sites

350,141 (100)

All sites

439,960 (100)

65+ years

 Lung (C33–34)

37,600 (12.90)

Breast (C50)

51,123 (22.7)

 Prostate (C61)

34,562 (11.9)

Cervix (C53)

21,134 (9.4)

 Esophagus (C15)

15,963 (5.5)

Lung (C33–34)

13,258 (5.9)

 Stomach (C16)

15,623 (5.3)

Ovary (C56)

13,245 (5.87)

 Mouth (C03–C06)

15,784 (5.40)

Mouth (C03–C06)

10,246 (4.54)

 Other sites

172,231 (59.0)

Other sites

116,258 (51.6)

All sites

291,763 (100)

All sites

225,264 (100)

Supplementary Material


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Address for correspondence

Kalpanapriya Dhakshanamoorthy, PhD
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology Vellore
Tamil Nadu 632014
India   

Publication History

Article published online:
04 February 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
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| Fig 1 :

| Figure 2:

| Figure 3:

| Figure 4:

| Fig 1 : Estimated proportion of top 10 leading sites of cancer in India by sex, males 2024.

| Figure 2: Estimated proportion of top 10 leading sites of cancer in India by sex, females 2024.

  • References

  • 1 Tyagi BB, Bhardwaj NK, Raina V. Time trends of cancer in a tertiary care centre 2013–2017. Int J Med Health Res 2019; 5 (11) 152-158
    Search in Google Scholar
  • 2 World Health Organization. World health statistics. 2019 : monitoring health for the SDGs, sustainable development goals. Published online 2019. Acces sed December 23, 2024 at: https://www.who.int/publications/i/item/9789241565707
    Search in Google Scholar
  • 3 Parkin DM. The evolution of the population-based cancer registry. Nat Rev Cancer 2006; 6 (08) 603-612
    CrossrefPubMedSearch in Google Scholar
  • 4 National Centre for Disease Informatics and Research. Consolidated Report of Population Based Cancer Registries, 2006–2008, 2009–2011, 2012–2014 Bengaluru, India, National Cancer Registry Programme. Accessed December 23, 2024 at: https://ncdirindia.org/Reports.aspx
  • 5 National Centre for Disease Informatics and Research. Time trends in cancer incidence rates, 1982–2010, Bangalore: National Cancer Registry Programme (NCRP-ICMR),. 2013 . Accessed December 23, 2024 at: https://www.ncdirindia.org/All_Reports/TREND_REPORT_1982_2010/
    Search in Google Scholar
  • 6 Office of the Registrar General & Census Commissioner. India. Population in Five-Year Age Group by Residence and Sex. New Delhi (India); 2011 . Accessed May 20, 2023 at: https://censusindia.gov.in/nada/index.php/catalog/1541
    Search in Google Scholar
  • 7 Office of the Registrar General & Census Commissioner India. Census of India Website. Censusindia.gov.in. Published 2011 at: http://www.censusindia.gov.in/census.website
    Search in Google Scholar
  • 8 Babu GR, Lakshmi SB, Thiyagarajan JA. Epidemiological correlates of breast cancer in South India. Asian Pac J Cancer Prev 2013; 14 (09) 5077-5083
    CrossrefPubMedSearch in Google Scholar
  • 9 Thangjam S, Laishram RS, Debnath K. Breast carcinoma in young females below the age of 40 years: a histopathological perspective. South Asian J Cancer 2014; 3 (02) 97-100
    Thieme ConnectPubMedSearch in Google Scholar
  • 10 Jonnada PK, Sushma C, Karyampudi M, Dharanikota A. Prevalence of molecular subtypes of breast cancer in India: a systematic review and meta-analysis. Indian J Surg Oncol 2021; 12 (Suppl. 01) 152-163
    CrossrefPubMedSearch in Google Scholar
  • 11 Ali I, Wani WA, Saleem K. Cancer scenario in India with future perspectives. Cancer Ther 2011; 8: 56-70
    Search in Google Scholar
  • 12 Srinath Reddy K, Shah B, Varghese C, Ramadoss A. Responding to the threat of chronic diseases in India. Lancet 2005; 366 (9498) 1744-1749
    CrossrefPubMedSearch in Google Scholar
  • 13 Mathur P, Sathishkumar K, Chaturvedi M. et al; ICMR-NCDIR-NCRP Investigator Group. Cancer Statistics, 2020: report from National Cancer Registry Programme, India. JCO Glob Oncol 2020; 6 (06) 1063-1075
    CrossrefPubMedSearch in Google Scholar
  • 14 Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin 2015; 65 (02) 87-108
    CrossrefPubMedSearch in Google Scholar
  • 15 Time Trends in Cancer Incidence Rates 1982–2010. Accessed December 23, 2024 at: https://www.ncdirindia.org/All_Reports/TREND_REPORT_1982_2010/
  • 16 Balasubramaniam SM, Rotti SB, Vivekanandam S. Risk factors of female breast carcinoma: a case control study at Puducherry. Indian J Cancer 2013; 50 (01) 65-70
    CrossrefPubMedSearch in Google Scholar
  • 17 Chopra B, Kaur V, Singh K, Verma M, Singh S, Singh A. Age shift: breast cancer is occurring in younger age groups - Is it true?. Clin Cancer Investig J 2014; 3 (06) 526-529
    CrossrefSearch in Google Scholar
  • 18 Sandhu DS, Sandhu S, Karwasra RK, Marwah S. Profile of breast cancer patients at a tertiary care hospital in north India. Indian J Cancer 2010; 47 (01) 16-22
    CrossrefPubMedSearch in Google Scholar
  • 19 Kakarala M, Rozek L, Cote M, Liyanage S, Brenner DE. Breast cancer histology and receptor status characterization in Asian Indian and Pakistani women in the U.S.–a SEER analysis. BMC Cancer 2010; 10: 191
    CrossrefPubMedSearch in Google Scholar
  • 20 Boyle P, Parkin D.M.. Statistical methods for registries. In Parkin D.M., C. S.Muir, S. L.Whelan, Y. T.Gao, J. Ferlay, J. Powell. (Eds.), Cancer Incidence in Five Continents, Volume VI. IARC Scientific Publications; No. 120. 126-158
  • 21 Bray F, Znaor A, Cueva P. et al. Planning and Developing Population-Based Cancer Registration in Low- or Middle-Income Settings. Lyon, France:: International Agency for Research on Cancer;; 2014
    Search in Google Scholar
  • 22 Dhar M. A critical review of evolution of cancer registration in India. J Tumor Med Prev 2018; 2 (04) 555594
    CrossrefSearch in Google Scholar
  • 23 Sahoo S, Verma M, Parija P. An overview of cancer registration in India: present status and future challenges. Oncol J India 2018; 2 (04) 86
    CrossrefSearch in Google Scholar
  • 24 Behera P, Patro BK. Population Based Cancer Registry of India – the challenges and opportunities. Asian Pac J Cancer Prev 2018; 19 (10) 2885-2889
    PubMedSearch in Google Scholar
  • 25 Murthy NS, Juneja A, Sehgal A, Prabhakar AK, Luthra UK. Cancer projection by the turn of century-Indian science. Indian J Cancer 1990; 27 (02) 74-82
    PubMedSearch in Google Scholar
  • 26 Murthy NS, Chaudhry K, Rath GK. Burden of cancer and projections for 2016, Indian scenario: gaps in the availability of radiotherapy treatment facilities. Asian Pac J Cancer Prev 2008; 9 (04) 671-677
    PubMedSearch in Google Scholar
  • 27 Swaminathan R, Shanta V, Ferlay J, Balasubramanian S, Bray F, Sankaranarayanan R. Trends in cancer incidence in Chennai city (1982–2006) and statewide predictions of future burden in Tamil Nadu (2007–16). Natl Med J India 2011; 24 (02) 72-77
    PubMedSearch in Google Scholar
  • 28 Takiar R, Nadayil D, Nandakumar A. Projections of number of cancer cases in India (2010-2020) by cancer groups. Asian Pac J Cancer Prev 2010; 11 (04) 1045-1049
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