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PLOS One logoLink to PLOS One
. 2021 Aug 3;16(8):e0255499. doi: 10.1371/journal.pone.0255499

Cancer burden in Nepal, 1990–2017: An analysis of the Global Burden of Disease study

Gambhir Shrestha 1,*, Rahul Kumar Thakur 2, Rajshree Singh 3, Rashmi Mulmi 4, Abha Shrestha 5, Pranil Man Singh Pradhan 1
Editor: Rashidul Alam Mahumud6
PMCID: PMC8330909  PMID: 34343216

Abstract

Introduction

Cancer is the second leading cause of death and a major public health problem in the world. This study reports the trend and burden of cancer from 1990 to 2017 along with its risk factors in Nepal.

Methods

This study used the database of the Institute of Health Metrics and Evaluation’s Global Burden of Diseases on cancer from Nepal to describe the most recent data available (2017) and trends by age, gender, and year from 1990 to 2017. The data are described as incidence, prevalence, disability-adjusted life years (DALY), and percentage change.

Results

In 2017, the age-standardized cancer incidence and mortality rates were 101.8/100,000 and 86.6/100,000 respectively in Nepal. Cancer contributed to 10% of total deaths and 5.6% of total DALYs in Nepal. The most common cancers were the breast, lung, cervical, stomach and oral cavity cancers. The number of new cancer cases and deaths in Nepal have increased from 1990 to 2017 by 92% and 95% respectively. On the other hand, age-standardized incidence and mortality rates decreased by 5% and 7% respectively. The leading risk factors of cancer were tobacco use, dietary factors, unsafe sex, air pollution, drug use, and physical inactivity.

Conclusions

This study highlighted the burden of cancer in Nepal, contributing to a significant number of new cancer cases, deaths and DALY. A comprehensive approach including prevention, early diagnosis and treatment, and rehabilitation should be urgently taken to reduce the burden of cancer.

Introduction

Cancer is the second leading cause of death worldwide, with 18.1 million new cases and 9.6 million deaths in 2018 [13]. The Global Cancer Observatory 2018 estimated the age-standardized cancer incidence and mortality rates to be 103.7/100,000 and 77.8/100,000, respectively, in Nepal [4]. Mortality is high in low- and middle-income countries (LMICs) and associated with poor prognosis which is due to lack of awareness, delayed diagnosis, inequity on health accessibility, and affordability as compared to high-income countries [5, 6].

In addition to the internal risk factors (genetics, ethnicity, and race), and external risk factors such as diet, tobacco and alcohol intake, viral infections, and exposure to chemicals and radiation, the incidence and prevalence of cancer also vary due to geography, socio-economic status, religious or cultural practices [7, 8]. In Nepal, major risk factors include tobacco (smoking and smokeless), betel quid, areca nut, indoor and outdoor air pollution, alcohol, viral infections like Hepatitis B, Hepatitis C, HIV and Human Papilloma Virus, Helicobacter pylori, and other dietary habits [913]. The dietary habits are largely associated with epidemiological transition, which has changed the lifestyle of people in terms of their habits, social practices, diet, nutrition, surrounding environment.

Former articles unfolding the burden of cancer in Nepal were very restricted in scope because the analysis was limited to short periods, and geographical coverage, incomplete, or limited to special settings like particular hospitals [6, 1214]. The Global Burden of Diseases (GBD) 2017 study provides a unique opportunity to analyze trends in cancer incidence and mortality that will help in policy planning and resource allocation and effective implementation of preventive and curative measures to curb the burden of cancer in Nepal.

This study aimed to understand the trend of a shift in incidence, prevalence, and mortality using standard parameters and correlate the findings with the status of prevalent risk factors in Nepal. Here, we report a systematic and comprehensive picture of the magnitude and time trends of cancer and estimates of disability over time, by age and gender in Nepal from 1990 to 2017. The findings from this analysis can be a foundation for setting priorities for future research and formulating effective policies based on current evidence.

Materials and methods

Study design

This cross-sectional study was based on the systematic analysis of the Institute for Health Metrics and Evaluation (IHME) database to measure the burden of cancer in Nepal [15]. We used data for incidence, prevalence, mortality, and DALY rates for cancer from 1990 to 2017 available from IHME’s Global Burden of Disease (GBD) database. The GBD 2017 used surveillance and survey data, published and unpublished papers, vital registration, hospital data to quantify the magnitude of health loss for 354 causes from 195 countries, including Nepal [16].

Operational definition

In this study, the following measures of disease burden were defined similarly to the IHME database definition.

  • Disability-adjusted life years (DALY) is a summary measure that combines time lost through premature death and time lived in states of less than optimal health, loosely referred to as “disability” [17].

  • Age-standardized rate is a weighted average of the age-specific rates per 100,000 persons, where the weights are the proportions of persons in the corresponding age groups of the WHO standard population [18].

  • Uncertainty interval (UI) is a range of values that is likely to include the correct estimate of disease burden for a given cause. Narrow UI indicates that evidence is strong, while wide UI shows that evidence is weaker.

Statistical analysis

The data from the IHME database were downloaded, compiled, and analyzed in Microsoft Excel 2013. We then created tables and graphs to relate patterns and trends in mortality, incidence and prevalence rates, and DALYs for different types of cancer in Nepal by age and gender. The explanation of metrics, data gathering procedures, and analytical methods used for GBD 2017 are described elsewhere [16]. The percent change was evaluated to indicate the course and extent of the trends of different types of cancer from 1990 to 2017. A 95% UI was presented to show the strength of the estimates.

Results

Incidence

An estimated 22,869 new cancer cases were recorded, out of which 45% were males and 55% were females in 2017. The total number of new cases for all forms of neoplasm increased by 91.77% from 1990 to 2017 but the age-standardized incidence rates (ASIR per 100,000 population) for all forms of cancer in Nepal decreased by 4.79% from 106.9 (92.07–124.49) in 1990 to 101.8 (88.71–116.18) in 2017. Among males, the ASIR (per 100,000 population) of cancer increased from 95.42 (77.86–112.92) in 1990 to 99.69 (80.13–116.84) in 2017. The ASIR (per 100,000 population) for all forms of cancer among females decreased from 118.75 (95.03–151.09) in 1990 to 103.42 (83.34–128.76) in 2017. Table 1 shows the all-age incidence and age-standardized incidence rate of all forms of cancer from 1990 to 2017. Overall, in both sexes, there has been a significant increase in the incidence of pancreatic, ovarian, liver, kidney, and thyroid cancer with a percentage change of 76.76, 66.46, 50.01, 49.87 and 49.32 respectively from 1990 to 2017 in Nepal (Table 1).

Table 1. Total all-age incidence and age-standardized incidence rates for different types of cancer and their percentage change by gender in Nepal, 1990–2017.

   Total all-Age incidence (95% UI) Age-Standardized Incidence Rate (95% UI), per 100,000 
Morphology 1990 2017 Change, % 1990 2017 Change, %
All Neoplasms
Male 5155.48(4189.69–6137.9) 10233.65(8214.79–12131.72) 98.5 95.42(77.86–112.92) 99.69(80.13–116.84) 4.47
Female 6769.93(5388.12–8694.68) 12635.69(10111.73–15809.03) 86.64 118.75(95.03–151.09) 103.42(83.34–128.76) -12.91
Both 11925.41(10091.48–14179.48) 22869.35(19691.18–26250.64) 91.77 106.96(92.07–124.49) 101.84(88.71–116.18) -4.79
Tracheal, bronchus, and lung cancer
Male 705.22(464.57–1168.97) 1314.63(965.71–2113.84) 86.41 14.02(9.15–23.44) 13(9.59–20.89) -7.23
Female 356.66(107.82–607.35) 900.1(344.4–1478.07) 152.37 7.82(2.21–13.69) 8(3.03–13.11) 2.33
Both 1061.88(647.61–1622) 2214.73(1438.65–3084.48) 108.57 11.01(6.57–16.63) 10.39(6.78–14.37) -5.68
Breast cancer
Male 16.71(12.88–21.34) 44.55(33.14–56.53) 166.63 0.33(0.25–0.41) 0.44(0.33–0.56) 36.15
Female 931.26(589.22–1530.81) 2673.65(1895.6–4942.89) 187.1 16.45(10.7–27.53) 21.41(15.36–39.65) 30.09
Both 947.97(603.92–1548.29) 2718.2(1943.39–4996.42) 186.74 8.23(5.4–13.65) 11.54(8.33–21.22) 40.23
Cervical cancer
Female 1915.84(1124.14–2606.4) 1981.22(1342.01–2749.12) 3.41 30.6(17.78–41.11) 14.84(10.3–20.35) -51.49
Both 1915.84(1124.14–2606.4) 1981.22(1342.01–2749.12) 3.41 15.07(8.77–20.26) 7.93(5.49–10.91) -47.35
Colon and rectum cancer
Male 267.13(163.38–419.37) 710.73(489.07–1066.62) 166.06 5.48(3.36–8.54) 7.27(5.06–10.85) 32.58
Female 279.46(168.05–488.46) 726.79(554.2–939.45) 160.07 6.1(3.74–10.47) 6.66(5.14–8.56) 9.21
Both 546.59(372.5–842.51) 1437.52(1157.26–1840.79) 163 5.8(4.04–8.81) 6.96(5.64–8.88) 20.07
Esophageal cancer
Male 341.78(270.6–426.58) 703.73(546.01–848.99) 105.9 6.52(5.22–8.1) 6.84(5.33–8.24) 4.83
Female 278.23(217.39–364.97) 358.72(278.03–480.67) 28.93 5.75(4.46–7.62) 3.17(2.46–4.21) -44.84
Both 620.01(523.85–744.75) 1062.45(872.33–1266.93) 71.36 6.16(5.24–7.45) 4.91(4.06–5.81) -20.22
Lip and oral cavity cancer
Male 550.83(362.76–832.84) 897.44(634.4–1186.05) 62.92 10(6.61–14.98) 8.52(6.05–11.18) -14.78
Female 279.15(207.02–366.58) 663.9(514.04–829.45) 137.83 5.56(4.15–7.32) 5.64(4.4–7.05) 1.44
Both 829.98(610.24–1132.26) 1561.34(1239.01–1892.42) 88.12 7.84(5.8–10.55) 7.02(5.6–8.44) -10.49
Stomach cancer
Male 646.41(497.44–823.97) 895.67(674.81–1128.95) 38.56 12.95(9.9–16.4) 9.02(6.88–11.27) -30.35
Female 478.42(361.92–682.81) 728.23(569.41–933.44) 52.22 9.43(7.23–13.44) 6.37(5.01–8.17) -32.43
Both 1124.83(932–1366.3) 1623.9(1360.63–1932.22) 44.37 11.24(9.32–13.54) 7.63(6.42–9.05) -32.09
Bladder cancer
Male 105.83(76.59–177.49) 290.54(208.65–501.91) 174.54 2.45(1.77–4.01) 3.13(2.26–5.36) 27.77
Female 52.21(34.57–77.7) 121.05(85.3–158.66) 131.84 1.21(0.8–1.78) 1.14(0.8–1.49) -5.58
Both 158.04(119.3–230.51) 411.59(317.64–618.63) 160.43 1.83(1.39–2.61) 2.07(1.61–3.09) 12.88
Brain and nervous system cancer
Male 152.42(74.07–291.73) 264.18(127.46–505.58) 73.32 1.94(0.87–4.03) 2.2(1.07–4.15) 13.44
Female 230.67(72.05–430.74) 244.87(162.78–376.41) 6.16 2.67(0.97–5.08) 1.82(1.22–2.79) -31.85
Both 383.09(227.96–595.94) 509.05(334.85–831.76) 32.88 2.3(1.59–3.57) 2(1.34–3.25) -12.89
Gallbladder and biliary tract cancer
Male 81.92(57.88–124.7) 205.41(125.57–289.95) 150.75 1.76(1.26–2.64) 2.11(1.3–2.93) 20.07
Female 154.6(106.91–313.73) 394.07(276.1–617.17) 154.9 3.46(2.39–7.14) 3.57(2.49–5.58) 3.14
Both 236.52(176.07–407.94) 599.48(450.87–808.87) 153.47 2.6(1.95–4.48) 2.88(2.16–3.91) 11.03
Hodgkin lymphoma
Male 131.39(86.11–215.6) 89.51(51.17–179.06) -31.88 1.74(1.15–2.92) 0.73(0.41–1.47) -58.04
Female 57.39(38.41–82.72) 56.25(32.36–105) -1.99 0.74(0.51–1.04) 0.38(0.22–0.7) -48.29
Both 188.78(131.64–285.14) 145.76(88.31–268.3) -22.79 1.24(0.89–1.86) 0.55(0.34–1) -55.93
Kidney cancer
Male 77.54(45.2–136.02) 241.37(146.34–407.07) 211.31 1.19(0.69–1.87) 2.18(1.33–3.67) 83.64
Female 83.1(47.03–153.1) 175.08(113.16–266.04) 110.7 1.16(0.67–1.97) 1.37(0.89–2.08) 18.25
Both 160.63(99.43–254.13) 416.46(277.6–630.08) 159.26 1.17(0.72–1.68) 1.76(1.18–2.65) 49.87
Larynx cancer
Male 335.18(255.16–435.7) 521.26(392.53–700.53) 55.52 6.3(4.81–8.11) 4.91(3.74–6.52) -22.07
Female 155.21(106.4–207.22) 213.28(144.75–278.59) 37.41 2.96(1.94–3.93) 1.78(1.21–2.33) -39.72
Both 490.39(390.74–602.55) 734.54(589.52–886.81) 49.79 4.68(3.74–5.74) 3.28(2.66–3.96) -29.96
Leukemia
Male 325.91(231.63–441.24) 460.4(308.03–624.23) 41.27 4.16(3.02–5.51) 3.93(2.66–5.22) -5.55
Female 337.66(203.54–652.13) 452.88(328.85–603.89) 34.12 4.26(2.85–7.08) 3.38(2.47–4.46) -20.62
Both 663.56(453.75–1047.37) 913.28(707.33–1143.76) 37.63 4.21(3.26–5.59) 3.64(2.88–4.5) -13.41
Liver cancer
Male 137.33(78.94–199.14) 479.48(269.1–835.9) 249.14 2.59(1.47–3.68) 4.62(2.61–7.99) 78.14
Female 81.4(42.96–117.07) 218.29(152.78–307.08) 168.16 1.67(0.9–2.38) 1.94(1.37–2.71) 16.42
Both 218.74(156.91–292.31) 697.77(481.13–1097.59) 219 2.15(1.55–2.86) 3.22(2.24–5.04) 50.01
Malignant skin melanoma
Male 12.87(8.21–23.59) 27.01(17.56–44.73) 109.9 0.23(0.15–0.4) 0.26(0.17–0.42) 12.63
Female 10.05(5.09–25.2) 28.97(17.26–61.81) 188.11 0.19(0.1–0.47) 0.24(0.14–0.51) 22.88
Both 22.92(15.09–43.61) 55.98(37.62–96.55) 144.2 0.21(0.14–0.39) 0.25(0.17–0.43) 17.23
Mesothelioma
Male 10(5–20.2) 26.24(16.84–38.94) 162.43 0.19(0.1–0.38) 0.25(0.17–0.37) 34.47
Female 12.16(4.77–24.28) 16.84(10.4–25.83) 38.45 0.22(0.09–0.42) 0.14(0.09–0.21) -37.08
Both 22.16(11.35–42.79) 43.08(29.79–61.96) 94.38 0.2(0.11–0.38) 0.19(0.13–0.27) -5.19
Multiple myeloma
Male 34.09(20.19–58.15) 95.3(58.31–164.69) 179.53 0.66(0.4–1.14) 0.92(0.57–1.57) 38.57
Female 36.99(24.52–59.16) 115.8(76.52–184.39) 213.1 0.8(0.54–1.31) 1.04(0.69–1.63) 28.95
Both 71.08(50.15–110.77) 211.1(149.69–319.86) 196.99 0.73(0.53–1.14) 0.98(0.7–1.48) 33.96
Nasopharynx cancer
Male 88.94(60.45–133.99) 144.83(103.02–198.51) 62.84 1.47(1.05–2.07) 1.3(0.94–1.74) -11.49
Female 79.39(48.39–134.49) 89.31(57.52–137.26) 12.49 1.22(0.81–1.84) 0.67(0.46–0.99) -44.88
Both 168.33(122.96–232.6) 234.14(175.31–304.21) 39.09 1.35(1.03–1.77) 0.97(0.75–1.24) -28.05
Non-Hodgkin lymphoma
Male 125.02(79.57–191.96) 268.68(183.84–399.43) 114.91 2.01(1.26–2.89) 2.48(1.7–3.64) 23.25
Female 77.69(53.76–108.98) 202.85(121.62–293.74) 161.11 1.3(0.9–1.75) 1.67(1.01–2.4) 28.16
Both 202.7(156.93–264.57) 471.53(356.32–601.59) 132.62 1.66(1.3–2.06) 2.05(1.56–2.6) 23.74
Non-melanoma skin cancer
Male 130.95(79.52–261.89) 267.67(180.27–486.29) 104.4 2.43(1.79–3.98) 2.6(1.93–4.11) 6.99
Female 82.03(27.64–218.67) 167.65(68.28–423.69) 104.36 1.2(0.59–2.74) 1.19(0.6–2.72) -0.27
Both 212.98(106.81–480.6) 435.31(249.91–913.86) 104.39 1.81(1.19–3.35) 1.84(1.21–3.35) 1.57
Other pharynx cancer
Male 229.16(132.04–363.16) 575.13(389.77–813.69) 150.97 4.13(2.36–6.58) 5.35(3.65–7.52) 29.42
Female 142.06(105.49–194.52) 319.83(241.07–449.91) 125.14 2.67(1.97–3.68) 2.65(2–3.74) -0.85
Both 371.22(274.7–519.59) 894.96(685.86–1168.91) 141.09 3.43(2.52–4.81) 3.95(3.04–5.12) 15
Ovarian cancer
Female 138.26(92.52–247.88) 481.95(350.35–635.29) 248.58 2.47(1.7–4.28) 3.82(2.81–5.03) 54.5
Both 138.26(92.52–247.88) 481.95(350.35–635.29) 248.58 1.21(0.83–2.1) 2.02(1.49–2.65) 66.46
Pancreatic cancer
Male 77.34(49.37–123.56) 286.61(184.84–458.52) 270.58 1.59(1.02–2.52) 2.91(1.89–4.59) 82.76
Female 56.67(37.15–77.43) 244.45(162.11–327.68) 331.37 1.3(0.82–1.79) 2.26(1.5–3.01) 73.09
Both 134.01(91.93–187) 531.06(368.56–742.66) 296.28 1.45(0.98–2.03) 2.57(1.79–3.56) 76.76
Prostate cancer
Male 216.09(154.06–292.1) 773.84(546.95–1020.69) 258.11 6.09(4.22–8.27) 8.98(6.38–11.83) 47.62
Both 216.09(154.06–292.1) 773.84(546.95–1020.69) 258.11 3.03(2.11–4.12) 4.15(2.93–5.46) 36.97
Testicular cancer
Male 47.47(29.26–67.03) 41.89(23.94–61.29) -11.76 0.6(0.38–0.84) 0.32(0.18–0.46) -47.21
Both 47.47(29.26–67.03) 41.89(23.94–61.29) -11.76 0.29(0.18–0.41) 0.14(0.08–0.21) -50.98
Thyroid cancer
Male 32.83(22.94–45.88) 94.32(67.22–129.51) 187.26 0.54(0.38–0.74) 0.84(0.6–1.14) 54.25
Female 119.84(75.57–204.24) 347.42(231.98–558.61) 189.9 1.74(1.13–3) 2.45(1.67–3.92) 40.7
Both 152.67(105.81–235.3) 441.74(319.98–638.42) 189.33 1.14(0.82–1.74) 1.71(1.26–2.44) 49.32
Uterine cancer
Female 124.08(71.23–173.81) 266.19(187.93–360.81) 114.53 2.49(1.48–3.47) 2.24(1.6–3.03) -9.92
Both 124.08(71.23–173.81) 266.19(187.93–360.81) 114.53 1.21(0.72–1.69) 1.17(0.84–1.59) -3.25

The most common sites for cancer among men were lung, stomach, prostate, oral cavity, and colorectal in 2017. Of the five most common cancer sites, prostate and colorectal cancer have an increasing trend of incidence with a percentage change of 47.62 and 32.58 respectively, from 1990 to 2017. There has been a decreasing trend of incidence in males with a percentage change of 7.23, 30.35, and 14.78 for lung, stomach, and oral cavity cancer respectively, from 1990 to 2017 (Table 1).

Among women, breast cancer had the highest ASIR, followed by cervical, lung, colorectal, and stomach cancer in 2017. Of the five common cancers, breast, lung, and colorectal cancer have an increasing trend of incidence with percentage change of 30.01, 2.33, and 9.21, respectively from 1990 to 2017. Cervical and stomach cancer have a decreasing trend of incidence with a percentage change of 51.49 and 32.43 from 1990 to 2017 (Table 1). Table 2 shows an increase in the incidence of cancer with an increase in age. The Age-specific incidence rate is highest among people aged 80 years and older for both males and females being 893.53 (738.62–1032.70) and 605.72 (483.22–738.17) respectively. Fig 1 shows the change in crude incidence rate from 53.10 (43.16–63.22) to 71.59 (57.46–84.86) in males and from 70.05 (55.75–89.96) to 81.02 (64.84–101.37) in females from 1990 to 2017.

Table 2. Age-specific number of new cancer cases, deaths, incidence rate and mortality rates of cancer by gender in Nepal, 2017.

Age group Total deaths (95%UI) Age-specific death rates, Number in 100,000 (95%UI) Total new cases, (95%UI) Age-specific incidence rates, Number in 100,000 (95%UI)
All Ages
Male 9294.53(7463.08–11079.92) 65.02(52.21–77.51) 10233.65(8214.79–12131.72) 71.59(57.46–84.86)
Female 9020(7265.11–11017.63) 57.84(46.58–70.64) 12635.69(10111.73–15809.03) 81.02(64.84–101.37)
Both 18314.54(16013.37–20596.07) 61.27(53.57–68.9) 22869.35(19691.18–26250.64) 76.51(65.88–87.82)
1 to 4
Male 41.75(19.22–65.53) 3.32(1.53–5.22) 82.3(39.13–126.28) 6.55(3.12–10.06)
Female 32.07(15.43–51.23) 2.7(1.3–4.31) 63.55(30.86–99.76) 5.34(2.59–8.39)
Both 73.82(35.8–110.95) 3.02(1.46–4.54) 145.85(71.64–214.52) 5.96(2.93–8.77)
5 to 9
Male 55.94(34.61–86.6) 3.54(2.19–5.47) 86.31(54.39–130.01) 5.46(3.44–8.22)
Female 41.47(24.37–62.44) 2.75(1.62–4.14) 65.21(38.83–96.74) 4.32(2.57–6.41)
Both 97.41(66.18–139.76) 3.15(2.14–4.52) 151.52(105.14–210.21) 4.9(3.4–6.8)
10 to 14
Male 57.33(37.01–83.62) 3.44(2.22–5.01) 75.04(48.82–105.22) 4.5(2.93–6.31)
Female 44.68(28.56–64.07) 2.76(1.76–3.96) 64.21(40.75–94.07) 3.97(2.52–5.81)
Both 102.01(71.66–138.11) 3.1(2.18–4.2) 139.25(97.43–182.01) 4.24(2.96–5.54)
15 to 19
Male 76.43(53.23–105.68) 4.68(3.26–6.47) 115.87(82.29–168.44) 7.09(5.04–10.31)
Female 73.51(52.06–99.63) 4.35(3.08–5.89) 134.84(95.4–194.63) 7.97(5.64–11.51)
Both 149.93(116.35–192.79) 4.51(3.5–5.8) 250.71(191.79–354.88) 7.54(5.77–10.67)
20 to 24
Male 64.46(43.52–89.34) 4.72(3.19–6.55) 130.02(88.74–192.17) 9.53(6.5–14.08)
Female 86.32(62.86–111.2) 5.47(3.98–7.04) 226.79(164.07–321.92) 14.36(10.39–20.38)
Both 150.77(119–188.13) 5.12(4.04–6.39) 356.8(273.03–495.68) 12.12(9.27–16.84)
25 to 29
Male 52.54(23.42–76.01) 4.82(2.15–6.98) 126.97(62.62–182.27) 11.65(5.75–16.73)
Female 110.18(63.3–144.84) 7.9(4.54–10.39) 371.72(216.59–524.07) 26.66(15.54–37.59)
Both 162.71(92.09–207.11) 6.55(3.71–8.34) 498.69(300.84–672.01) 20.08(12.11–27.06)
30 to 34
Male 64.43(8.3–98.61) 7.09(0.91–10.85) 137.4(30.05–199.81) 15.11(3.31–21.98)
Female 176.12(77.97–237.14) 14.59(6.46–19.64) 564.39(241.05–792.46) 46.75(19.97–65.64)
Both 240.55(96.16–318.64) 11.37(4.54–15.06) 701.8(290.74–959.12) 33.16(13.74–45.32)
35 to 39
Male 102.46(12.63–160.17) 12.71(1.57–19.87) 181.93(34–271.84) 22.57(4.22–33.73)
Female 298.75(187.34–404.82) 28.74(18.02–38.95) 786.74(506.01–1107.9) 75.69(48.69–106.59)
Both 401.21(217.58–526.79) 21.74(11.79–28.55) 968.67(551.88–1295.7) 52.49(29.91–70.21)
40 to 44
Male 199.41(80.29–281.42) 27.54(11.09–38.87) 285.69(111.01–408.51) 39.46(15.33–56.42)
Female 483.66(345.2–644.67) 55.11(39.33–73.45) 1037(724.67–1428.26) 118.15(82.57–162.73)
Both 683.07(464.71–871.47) 42.65(29.01–54.41) 1322.69(898.66–1735.79) 82.58(56.11–108.37)
45 to 49
Male 373.55(220.37–505.49) 57.29(33.8–77.52) 489.71(289.79–672.78) 75.1(44.44–103.18)
Female 674.05(498.24–871.89) 92.2(68.15–119.26) 1216.13(889.88–1609.61) 166.34(121.72–220.17)
Both 1047.6(777.62–1281.92) 75.74(56.22–92.68) 1705.84(1287.06–2138.69) 123.33(93.05–154.63)
50 to 54
Male 641.77(460.32–852.5) 111.43(79.93–148.02) 796.51(576.64–1053.77) 138.3(100.12–182.97)
Female 856.39(659.3–1110.91) 141.34(108.82–183.35) 1319.94(995.1–1728.9) 217.85(164.24–285.35)
Both 1498.15(1212.66–1803.87) 126.77(102.61–152.64) 2116.45(1713.17–2576.47) 179.09(144.96–218.01)
55 to 59
Male 984.36(744.51–1233.06) 199.17(150.64–249.49) 1161.59(881.72–1441.35) 235.03(178.4–291.64)
Female 954.97(750.39–1230.23) 185.72(145.93–239.25) 1330.61(1039.08–1723.63) 258.77(202.07–335.2)
Both 1939.34(1626.63–2266.95) 192.31(161.3–224.8) 2492.2(2083.8–2964.59) 247.13(206.64–293.98)
60 to 64
Male 1305.04(1002.59–1579.7) 317.72(244.09–384.59) 1474.97(1146.64–1778.53) 359.09(279.16–432.99)
Female 1089.65(858.27–1399.66) 247.84(195.21–318.35) 1380(1081.21–1757.28) 313.88(245.92–399.69)
Both 2394.7(2030.78–2786.79) 281.59(238.8–327.7) 2854.97(2413.54–3304.38) 335.72(283.81–388.56)
65 to 69
Male 1479.73(1159.67–1814.74) 453.77(355.62–556.5) 1583.38(1242.18–1907.43) 485.55(380.92–584.92)
Female 1152.63(891.81–1468.91) 320.52(247.99–408.47) 1326.31(1028.29–1668.32) 368.82(285.95–463.92)
Both 2632.35(2211.89–3026.15) 383.89(322.57–441.32) 2909.69(2446.92–3349.02) 424.33(356.85–488.4)
70 to 74
Male 1427.98(1139.34–1761.94) 611.23(487.68–754.18) 1444.36(1157.52–1758.87) 618.24(495.46–752.86)
Female 1054.96(808.05–1322.23) 430.83(330–539.99) 1095.99(841.4–1375.88) 447.59(343.62–561.9)
Both 2482.94(2114.46–2847.83) 518.91(441.9–595.17) 2540.35(2163.51–2904.69) 530.91(452.16–607.06)
75 to 79
Male 1135.32(902.54–1381.8) 788.84(627.1–960.1) 1062.12(850.16–1273.44) 737.98(590.71–884.81)
Female 809.6(629.08–994.6) 528.6(410.74–649.4) 766.51(597.41–946.8) 500.47(390.06–618.18)
Both 1944.92(1664.62–2211.55) 654.68(560.33–744.43) 1828.63(1552.46–2075.27) 615.53(522.57–698.55)
80 plus
Male 1216.56(1002.95–1420.79) 1113.54(918.02–1300.48) 976.2(806.96–1128.24) 893.53(738.62–1032.7)
Female 1064.43(856.39–1281.38) 749.56(603.06–902.34) 860.16(686.21–1048.26) 605.72(483.22–738.17)
Both 2280.99(1991.68–2537.21) 907.83(792.68–1009.8) 1836.36(1600.58–2061.78) 730.86(637.02–820.58)

Fig 1. Trend of cancer by crude incidence rate, mortality rate and DALY in Nepal, 1990–2017.

Fig 1

Prevalence

In 2017, the total number of estimated prevalent cancer cases was 58,570 with an overall prevalence of 29% among males and 71% among females. The age-standardized prevalence rates (ASPR) per 100,000 population of all forms of cancer increased by 3.43% from 243.75 (203.7–299.21) in 1990 to 252.12 (209.89–318.24) in 2017. The ASPR for both sexes was highest for breast cancer followed by cervical, colorectal and prostate cancer. Among males, the ASPR (per 100,000 population) for all cancers was 139.21 in 1990 and 163.13 in 2017 with the five most common cancer sites being prostate, oral, colorectal, larynx, and stomach cancer. Similarly, among females, the ASPR (per 100,000 population) for all cancers was 350.94 in 1990 and 328.98 in 2017 with the highest prevalence of breast cancer followed by cervical, oral cavity, colorectal, and thyroid cancer (Table 3).

Table 3. All-age prevalence and age-standardized prevalence rates for different types of cancer and their percentage change by gender in Nepal, 1990–2017.

Morphology All-Age Prevalence (95% UI) Age-Standardized Prevalence Rate (95% UI), per 100 000
1990 2017 Change, % 1990 2017 Change, %
All Neoplasms
Male 7380.16(5919.44–9128.73) 16705.85(13142.65–19857.28) 126.36 139.21(112.75–167.82) 163.13(129.67–192.57) 17.18
Female 21496.67(16251.85–28697.23) 41864.14(31997.05–57261.36) 94.75 350.94(273.07–455.61) 328.98(254.92–447.38) -6.26
Both 28876.83(23258.27–36556.61) 58569.99(48035.28–74447.91) 102.83 243.75(203.7–299.21) 252.12(209.89–318.24) 3.43
Tracheal, bronchus, and lung cancer
Male 711.08(467.7–1178.39) 1298.06(949.87–2081.11) 82.55 13.78(9.03–23.05) 12.63(9.3–20.21) -8.39
Female 419.45(128.93–713.09) 1076.97(413.86–1764.65) 156.75 8.95(2.56–15.43) 9.44(3.59–15.48) 5.51
Both 1130.54(674.64–1699.5) 2375.03(1507.12–3264.71) 110.08 11.44(6.71–17.19) 10.97(6.96–14.95) -4.14
Breast cancer
Male 79.67(61.4–101.74) 221.29(162.52–283.34) 177.75 1.46(1.14–1.84) 2.09(1.56–2.64) 42.87
Female 5631.11(3722.72–8965.9) 18652.25(13585.93–33279.31) 231.24 96.77(65.89–150.89) 146.11(107.11–259.23) 50.98
Both 5710.78(3791.46–9040.32) 18873.53(13800.29–33548.2) 230.49 48.15(32.97–74.61) 78.24(57.58–138.49) 62.49
Cervical cancer
Female 10595.96(6323.05–14680.8) 11657.9(7707.73–16734.69) 10.02 160.03(93.92–217.77) 84.23(56.4–118.08) -47.37
Both 10595.96(6323.05–14680.8) 11657.9(7707.73–16734.69) 10.02 79.17(46.6–107.76) 45.32(30.18–63.83) -42.76
Colon and rectum cancer
Male 846.58(516.17–1334.13) 2206.66(1514.49–3307.88) 160.66 16.45(10.07–25.7) 21.6(14.96–32.31) 31.3
Female 889.4(532.46–1555.88) 2373.52(1797.8–3072.45) 166.87 18.3(11.1–31.6) 20.99(16.11–27.21) 14.67
Both 1735.98(1177.89–2688.47) 4580.18(3655.55–5854.15) 163.84 17.38(12.04–26.5) 21.33(17.22–27.24) 22.74
Esophageal cancer
Male 512.54(402.21–646.17) 978.33(751.99–1212.46) 90.88 9.08(7.2–11.37) 9.02(7–11.03) -0.69
Female 407.29(318.33–531.21) 506.01(387.5–673.24) 24.24 7.69(5.98–10.06) 4.24(3.27–5.61) -44.89
Both 919.83(772.84–1104.61) 1484.34(1203.26–1776.97) 61.37 8.42(7.11–10.16) 6.53(5.34–7.79) -22.5
Lip and oral cavity cancer
Male 2014.87(1319.66–3058.99) 3239.1(2269.02–4292.24) 60.76 35.33(23.46–53.1) 29.84(21.03–39.24) -15.54
Female 1061.65(785.69–1387.42) 2686.19(2048.32–3362.25) 153.02 20.05(14.91–26.46) 21.89(16.93–27.38) 9.16
Both 3076.52(2263.87–4197.14) 5925.29(4702.84–7195.29) 92.6 27.92(20.64–37.66) 25.76(20.56–31.13) -7.73
Stomach cancer
Male 1020.92(784.06–1300.04) 1392.52(1047.41–1758.7) 36.4 19.69(15.07–24.99) 13.6(10.35–17.06) -30.92
Female 742.29(560.67–1064.87) 1136(887.03–1457.83) 53.04 14.09(10.76–20.06) 9.72(7.64–12.49) -30.98
Both 1763.21(1456.36–2147.1) 2528.52(2112.66–3012.13) 43.4 16.98(14.07–20.51) 11.59(9.72–13.76) -31.76
Bladder cancer
Male 419.43(302.94–715.77) 1161.38(832.9–2062.62) 176.9 8.77(6.37–14.55) 11.64(8.38–20.31) 32.8
Female 209.27(138.14–315.99) 529(370.92–690.68) 152.79 4.42(2.95–6.52) 4.69(3.31–6.12) 6.06
Both 628.69(476.9–929.26) 1690.38(1300.65–2577.82) 168.87 6.62(5.03–9.54) 7.97(6.2–11.97) 20.37
Brain and nervous system cancer
Male 442.93(240.07–787.31) 675.61(321.81–1312.34) 52.53 5.03(2.44–9.93) 5.43(2.61–10.44) 8.05
Female 732.83(199.59–1402.71) 634.66(415.51–985.36) -13.4 7.48(2.45–13.87) 4.64(3.08–7.13) -37.96
Both 1175.76(627.46–1882.71) 1310.27(855.02–2187.12) 11.44 6.23(3.99–9.83) 5.03(3.31–8.27) -19.37
Gallbladder and biliary tract cancer
Male 59.84(41.69–90.72) 141.76(86.53–200.36) 136.88 1.21(0.86–1.84) 1.41(0.86–1.97) 17.09
Female 112.85(77.09–225.88) 280.98(197.51–433.79) 148.98 2.38(1.64–4.88) 2.48(1.73–3.84) 3.88
Both 172.69(127.84–297.86) 422.73(314.93–568.48) 144.79 1.78(1.33–3.08) 1.97(1.48–2.67) 10.65
Hodgkin lymphoma
Male 414.17(270.01–684.3) 271.2(153.32–541.67) -34.52 5.22(3.45–8.76) 2.15(1.22–4.32) -58.74
Female 181.41(119.43–261.99) 176.89(101.65–331.07) -2.49 2.24(1.54–3.19) 1.18(0.69–2.17) -47.45
Both 595.58(412.73–898.71) 448.09(268.73–823.58) -24.76 3.75(2.68–5.62) 1.65(1.01–3.03) -56.04
Kidney cancer
Male 469.5(264–892.54) 1296.9(779.05–2204.28) 176.23 6.15(3.58–10.28) 11.11(6.74–18.9) 80.63
Female 573.03(294.48–1109.54) 1105.95(700.09–1699.42) 93 6.9(4.01–12.23) 8.37(5.37–12.8) 21.31
Both 1042.53(613.04–1765.67) 2402.85(1582.92–3642.14) 130.48 6.52(4.02–9.89) 9.71(6.45–14.67) 48.86
Larynx cancer
Male 1255.96(959.11–1629.77) 2027.69(1537.36–2674.78) 61.45 22.98(17.76–29.36) 18.73(14.34–24.66) -18.49
Female 561.11(391.95–744.92) 842.35(583.53–1097.08) 50.12 10.37(7–13.75) 6.93(4.8–8.98) -33.15
Both 1817.07(1458.61–2208.4) 2870.05(2326.55–3452.05) 57.95 16.87(13.56–20.56) 12.58(10.25–15.05) -25.39
Leukemia
Male 1141.86(713.26–1762.83) 1247.41(814.99–1695.2) 9.24 12.23(8.73–16.49) 9.93(6.49–13.37) -18.8
Female 1333.37(705.47–3013.68) 1393.71(1000.75–1884.26) 4.53 14.07(8.66–27.14) 10(7.28–13.35) -28.98
Both 2475.23(1508.13–4576.06) 2641.12(1999.85–3326.07) 6.7 13.14(9.34–20.46) 9.97(7.72–12.42) -24.09
Liver cancer
Male - - - - - -
Female - - - - - -
Both - - - - - -
Malignant skin melanoma
Male 54.18(34.43–99.95) 111.21(71.66–185.26) 105.27 0.9(0.59–1.6) 1.01(0.65–1.67) 11.87
Female 41.68(20.83–106.61) 123.11(73.1–261.95) 195.37 0.74(0.38–1.82) 0.97(0.58–2.08) 30.8
Both 95.86(62.76–182.97) 234.33(155.25–404.86) 144.44 0.82(0.55–1.54) 0.99(0.67–1.71) 20.6
Mesothelioma
Male 25.51(12.66–51.6) 66.26(42.52–98.84) 159.78 0.47(0.24–0.94) 0.63(0.41–0.92) 33.79
Female 21.37(8.29–43.11) 29.03(17.66–45.27) 35.9 0.36(0.15–0.71) 0.23(0.14–0.35) -36.87
Both 46.87(24.56–90.87) 95.29(64.69–137.44) 103.31 0.42(0.22–0.8) 0.42(0.29–0.6) 0.29
Multiple myeloma
Male 40.86(23.98–68.49) 127.75(77.76–223.1) 212.68 0.74(0.45–1.27) 1.17(0.72–2.03) 57.61
Female 43.49(28.71–68.06) 159.48(104.78–255.04) 266.71 0.88(0.58–1.41) 1.35(0.89–2.15) 53.89
Both 84.34(58.39–131.98) 287.23(199.4–439.3) 240.54 0.81(0.58–1.26) 1.27(0.89–1.92) 56.4
Nasopharynx cancer
Male 351.87(232.52–542.22) 585.54(404.14–833.89) 66.41 5.56(3.88–8.06) 5.07(3.55–6.95) -8.77
Female 307.78(181.01–532.63) 358.38(220.35–571.07) 16.44 4.54(2.96–7.08) 2.62(1.71–3.98) -42.3
Both 659.65(470.32–936.44) 943.93(679.7–1260.67) 43.09 5.07(3.81–6.77) 3.79(2.8–4.93) -25.33
Non-Hodgkin lymphoma
Male 405.89(264.35–648.81) 818.4(556.63–1220.02) 101.63 6.01(3.81–8.89) 7.24(4.93–10.7) 20.43
Female 254.7(171.92–364.53) 634.76(378.92–917.83) 149.21 3.93(2.72–5.37) 5.09(3.07–7.36) 29.63
Both 660.59(492.54–890.03) 1453.16(1093.63–1855.61) 119.98 4.98(3.93–6.29) 6.12(4.62–7.78) 22.93
Non-melanoma skin cancer
Male - - - - - -
Female - - - - - -
Both - - - - - -
Other pharynx cancer
Male 488.97(281.92–773.63) 1217.26(821.12–1728.25) 148.94 8.62(4.95–13.69) 11.12(7.56–15.72) 29.01
Female 294.87(218.23–403.76) 674.67(508.65–947.84) 128.8 5.41(4–7.42) 5.51(4.14–7.73) 1.96
Both 783.85(578.35–1098.48) 1891.93(1452.28–2479.3) 141.36 7.07(5.18–9.93) 8.21(6.33–10.69) 16.07
Ovarian cancer
Female 583.13(389.39–1067.44) 2193.04(1566.37–2905.41) 276.08 9.5(6.4–16.97) 16.49(11.97–21.95) 73.62
Both 583.13(389.39–1067.44) 2193.04(1566.37–2905.41) 276.08 4.68(3.15–8.35) 8.76(6.34–11.68) 87.19
Pancreatic cancer
Male 61.83(39.7–99.14) 210.39(135.27–337.71) 240.28 1.19(0.76–1.89) 2.07(1.32–3.29) 74.12
Female 41.4(27.91–56.17) 173.65(115.8–232.19) 319.44 0.9(0.58–1.22) 1.56(1.04–2.08) 73.83
Both 103.23(71.39–145.43) 384.04(266.69–541.52) 272.02 1.05(0.71–1.47) 1.8(1.26–2.52) 72.22
Prostate cancer
Male 753.21(543.74–1023.05) 3339.31(2384.22–4472.59) 343.34 19.32(13.61–26.33) 34.89(24.59–46.49) 80.6
Both 753.21(543.74–1023.05) 3339.31(2384.22–4472.59) 343.34 9.73(6.85–13.28) 16.41(11.58–21.93) 68.71
Testicular cancer
Male 261.98(160.96–369.78) 230.97(131.3–339.09) -11.84 3.27(2.04–4.62) 1.72(0.94–2.51) -47.34
Both 261.98(160.96–369.78) 230.97(131.3–339.09) -11.84 1.6(1–2.26) 0.78(0.44–1.14) -51.06
Thyroid cancer
Male 232.73(161.46–327.78) 679.12(471.82–943.71) 191.81 3.67(2.6–5.07) 5.86(4.16–8.14) 59.56
Female 935.6(587.63–1588.71) 2902.58(1921.84–4666.46) 210.24 13(8.4–22.27) 20.02(13.41–31.95) 53.98
Both 1168.33(795.44–1815.5) 3581.71(2539.55–5204.03) 206.57 8.37(5.92–12.82) 13.52(9.78–19.49) 61.65
Uterine cancer
Female 778.75(445.47–1094.34) 1734.79(1212.31–2354.92) 122.77 15.04(8.77–20.99) 14.38(10.16–19.46) -4.34
Both 778.75(445.47–1094.34) 1734.79(1212.31–2354.92) 122.77 7.31(4.27–10.23) 7.52(5.32–10.2) 2.85

Mortality

Cancer accounted for 10% of total deaths in Nepal in 2017, with the major contribution being from lung cancer (1.3%). There were an estimated 18,315 deaths from cancer, and of all deaths, 51% were in males and 49% in females in Nepal in 2017. The total number of deaths for all forms of neoplasm increased by 94.72% from 1990 to 2017. The age-standardized mortality rate (ASMR) per 100,000 population for cancer decreased by 7.14% from 93.21 (81–107.54) in 1990 to 86.56 (75.59–97.03) in 2017. The ASMR per 100,000 population for all forms of cancer in males was 91.2 (73.9–108.66) in 1990 and 94.78 (77.14–111.80) in 2017 and among females, it was 95.36 (76.16–121.34) in 1990 and 79.31 (64.30–96.63) in 2017 (Table 4).

Table 4. All-age deaths and age-standardized mortality rates for different types of cancer and their percentage change by gender in Nepal, 1990–2017.

Morphology  All-Age Deaths, (95% UI) Age-Standardized Mortality Rate (95% UI), per 100000 
1990 2017 Change,% 1990 2017 Change,%
All Neoplasms
Male 4568.75(3713.39–5454.4) 9294.53(7463.08–11079.92) 103.44 91.2(73.9–108.66) 94.78(77.14–111.8) 3.92
Female 4836.97(3855.41–6205.73) 9020(7265.11–11017.63) 86.48 95.36(76.16–121.34) 79.31(64.3–96.63) -16.82
Both 9405.73(8059.03–10942.5) 18314.54(16013.37–20596.07) 94.72 93.21(81–107.54) 86.56(75.59–97.03) -7.14
Tracheal, bronchus, and lung cancer
Male 709.9(466.05–1185.32) 1391.89(1016.03–2286.62) 96.07 14.67(9.48–24.76) 14.12(10.45–23.05) -3.7
Female 362.76(106.25–623.72) 936.09(353.67–1539.96) 158.05 8.33(2.28–14.81) 8.55(3.17–14.04) 2.61
Both 1072.66(654.64–1641.03) 2327.97(1519.9–3236.57) 117.03 11.59(6.9–17.58) 11.2(7.33–15.55) -3.41
Breast cancer
Male 14.11(10.94–17.97) 34.88(26.12–43.78) 147.08 0.3(0.23–0.37) 0.37(0.28–0.45) 23.48
Female 648.66(421.56–1084.37) 1500.59(1088.19–2764.06) 131.34 12.28(8.23–20.77) 12.68(9.25–23.56) 3.22
Both 662.77(434.76–1097.43) 1535.46(1122.91–2802.91) 131.67 6.17(4.18–10.32) 6.88(5.07–12.66) 11.51
Cervical cancer
Female 941.86(556.6–1241.73) 915.38(651.02–1235.5) -2.81 17.16(10.2–22.72) 7.52(5.43–10.07) -56.17
Both 941.86(556.6–1241.73) 915.38(651.02–1235.5) -2.81 8.4(5–11.12) 3.98(2.87–5.33) -52.62
Colon and rectum cancer
Male 245.66(148.81–385.8) 631.18(435.74–942.76) 156.93 5.37(3.26–8.31) 6.76(4.71–10.06) 25.9
Female 255.69(155.27–440.61) 635.65(487.26–816.67) 148.6 6(3.75–10.06) 6.13(4.71–7.88) 2.2
Both 501.35(345.63–769.52) 1266.83(1019.83–1631.35) 152.68 5.7(4–8.6) 6.44(5.23–8.29) 13.11
Esophageal cancer
Male 338.21(268.54–421.02) 727.79(566.67–888.69) 115.19 6.7(5.37–8.34) 7.27(5.71–8.76) 8.38
Female 274.49(214.06–361.89) 366.62(282.47–492.28) 33.57 5.96(4.59–8.01) 3.34(2.56–4.42) -44
Both 612.69(517.48–738.72) 1094.41(897.4–1299.48) 78.62 6.36(5.39–7.73) 5.2(4.3–6.15) -18.23
Lip and oral cavity cancer
Male 411.33(271.25–616.04) 663.47(469.6–880.56) 61.3 7.81(5.2–11.46) 6.5(4.65–8.57) -16.68
Female 179.58(133.08–235.25) 382.99(302.28–482.81) 113.27 3.96(2.97–5.22) 3.52(2.79–4.39) -11.08
Both 590.91(433.28–805.81) 1046.46(825.94–1271.56) 77.09 5.94(4.39–8) 4.94(3.96–5.93) -16.78
Stomach cancer
Male 643.61(494.68–818.41) 938.14(713.57–1175.18) 45.76 13.57(10.43–17.1) 9.77(7.44–12.2) -28.03
Female 458.14(347.3–653.69) 734.98(581.64–942.56) 60.43 9.63(7.42–13.74) 6.68(5.29–8.52) -30.69
Both 1101.76(915.06–1330.16) 1673.12(1409.55–1976.95) 51.86 11.65(9.66–13.98) 8.14(6.88–9.56) -30.14
Bladder cancer
Male 74.06(53.37–121.81) 192.85(138.66–324.1) 160.38 1.96(1.41–3.12) 2.28(1.62–3.76) 16.07
Female 36.38(24.06–54) 77.99(55.5–102.21) 114.35 0.96(0.63–1.41) 0.8(0.57–1.05) -16.36
Both 110.45(83.85–158.35) 270.83(208.14–400.25) 145.21 1.46(1.09–2.07) 1.48(1.14–2.17) 1.54
Brain and nervous system cancer
Male 123.23(57.44–246.59) 237.47(116.17–439.64) 92.71 1.72(0.74–3.71) 2.06(1.02–3.77) 19.76
Female 173.97(58.75–322.76) 214.96(144.64–329.19) 23.56 2.25(0.87–4.31) 1.66(1.14–2.52) -26.19
Both 297.2(194.48–461.99) 452.44(302.49–738.58) 52.23 1.98(1.44–3.07) 1.85(1.25–2.98) -6.48
Gallbladder and biliary tract cancer
Male 83.51(59.43–126.71) 218.52(133.8–306.8) 161.68 1.89(1.38–2.83) 2.32(1.42–3.22) 22.7
Female 157.58(107.77–320.91) 412.68(288.01–647.34) 161.88 3.71(2.53–7.76) 3.85(2.67–5.99) 3.68
Both 241.09(179.99–413.16) 631.2(472.87–850.38) 161.81 2.79(2.09–4.85) 3.13(2.35–4.24) 12.21
Hodgkin lymphoma
Male 107.41(70.68–179.1) 75.73(43.84–149.1) -29.49 1.53(1.01–2.57) 0.65(0.38–1.28) -57.54
Female 45.49(30.87–64.74) 43.32(25.71–80.54) -4.78 0.63(0.44–0.9) 0.31(0.19–0.57) -50.52
Both 152.89(108.39–230.27) 119.05(73.08–213.35) -22.14 1.09(0.78–1.64) 0.47(0.3–0.85) -56.46
Kidney cancer
Male 24.38(14.57–38.4) 87.54(55.08–145) 259.04 0.46(0.27–0.7) 0.87(0.56–1.43) 87.36
Female 18.9(10.94–31.41) 44.8(29.73–66.3) 137.09 0.36(0.2–0.57) 0.39(0.26–0.58) 9.29
Both 43.28(26.97–61.51) 132.34(90.04–197.85) 205.79 0.41(0.25–0.56) 0.62(0.42–0.92) 49.84
Larynx cancer
Male 319.1(243.12–412.85) 488.69(373.26–642.16) 53.14 6.22(4.78–8.13) 4.72(3.63–6.15) -24.09
Female 142.22(95.01–190.27) 187.26(127.14–243.28) 31.67 2.84(1.83–3.78) 1.61(1.08–2.1) -43.2
Both 461.32(369.19–565.98) 675.94(547.61–818.32) 46.52 4.57(3.68–5.61) 3.09(2.55–3.71) -32.41
Leukemia
Male 259.69(188.4–336.58) 414.04(280.19–556.81) 59.43 3.77(2.63–5.08) 3.77(2.55–4.99) -0.11
Female 264.14(167.71–472.96) 389.93(287.71–509.55) 47.63 3.79(2.66–5.92) 3.08(2.28–4.02) -18.9
Both 523.83(382.11–756.57) 803.97(633.99–1002.09) 53.48 3.78(3.03–4.7) 3.4(2.71–4.2) -10
Liver cancer
Male 134.84(77.59–194.08) 494.98(282.41–841.58) 267.08 2.66(1.51–3.75) 4.89(2.8–8.31) 84.11
Female 80.26(42.82–115.32) 226.18(159.51–315.02) 181.82 1.74(0.96–2.48) 2.08(1.47–2.87) 19.25
Both 215.1(154.76–286.7) 721.15(500.31–1119.53) 235.27 2.22(1.6–2.93) 3.42(2.38–5.27) 54.3
Malignant skin melanoma
Male 11.03(7.13–19.79) 21.76(14.32–35.54) 97.28 0.21(0.14–0.38) 0.22(0.15–0.36) 3.67
Female 8.33(4.28–20.55) 20.4(12.39–44.07) 144.91 0.18(0.1–0.43) 0.19(0.11–0.4) 2.53
Both 19.36(12.9–36.07) 42.16(28.47–73.26) 117.78 0.2(0.13–0.36) 0.2(0.14–0.36) 2.62
Mesothelioma
Male 8.33(4.34–16.49) 23.1(15–32.85) 177.33 0.17(0.09–0.33) 0.23(0.15–0.33) 39.32
Female 7.92(3.2–15.38) 11.77(7.63–17.83) 48.65 0.15(0.06–0.29) 0.1(0.07–0.15) -34.58
Both 16.24(8.57–30.88) 34.87(24.23–49.08) 114.63 0.16(0.09–0.3) 0.16(0.11–0.23) 1.56
Multiple myeloma
Male 32.84(19.53–56.82) 92.06(56.45–154.89) 180.34 0.67(0.41–1.17) 0.92(0.57–1.52) 36.55
Female 36.3(24.12–58.07) 113.27(75.45–177.84) 212.02 0.84(0.56–1.37) 1.05(0.7–1.65) 25.76
Both 69.14(49.09–107.24) 205.33(146.78–307.19) 196.97 0.76(0.54–1.18) 0.99(0.71–1.49) 31.28
Nasopharynx cancer
Male 67.43(48.47–89.26) 117.62(88.01–150.36) 74.44 1.23(0.91–1.6) 1.12(0.85–1.41) -8.98
Female 50.91(38.06–66.41) 61.77(46.94–78.12) 21.34 0.91(0.69–1.18) 0.51(0.39–0.64) -44.12
Both 118.34(96.25–141.9) 179.39(148.16–212.43) 51.6 1.07(0.88–1.28) 0.8(0.66–0.94) -25.64
Non-Hodgkin lymphoma
Male 112.27(71.35–167.69) 251.33(172.3–370.16) 123.87 1.96(1.21–2.75) 2.43(1.68–3.54) 24.34
Female 69.72(48.22–95.94) 185.17(111.39–266.08) 165.59 1.27(0.86–1.69) 1.6(0.96–2.29) 25.7
Both 181.99(143.41–233.33) 436.5(333.01–556.26) 139.85 1.61(1.26–1.98) 1.99(1.52–2.52) 23.22
Non-melanoma skin cancer
Male 52.62(30.9–71.12) 123.24(78.02–156.15) 134.21 1.34(0.77–1.84) 1.46(0.92–1.83) 8.8
Female 11.11(7.3–18.18) 26.65(20.7–34.19) 139.79 0.31(0.21–0.48) 0.29(0.23–0.37) -6.48
Both 63.74(40.78–85.15) 149.9(100.87–185.3) 135.18 0.82(0.52–1.09) 0.83(0.56–1.01) 0.24
Other pharynx cancer
Male 209.57(120.29–333.28) 511.33(348.07–715.73) 143.99 3.92(2.24–6.25) 4.89(3.35–6.82) 24.98
Female 126.03(93.54–172.3) 263.77(199.11–374.64) 109.29 2.5(1.83–3.45) 2.28(1.73–3.24) -8.95
Both 335.6(245.74–470.46) 775.1(593.9–1013.75) 130.96 3.23(2.37–4.55) 3.53(2.71–4.6) 9.08
Ovarian cancer
Female 95.39(65.35–164.45) 314.65(233.22–416.45) 229.84 1.91(1.31–3.23) 2.69(2–3.55) 40.99
Both 95.39(65.35–164.45) 314.65(233.22–416.45) 229.84 0.94(0.64–1.58) 1.42(1.05–1.87) 51.67
Pancreatic cancer
Male 77.8(49.71–123.98) 303.9(196.88–480.77) 290.59 1.68(1.07–2.67) 3.18(2.08–4.97) 88.69
Female 58.36(37.58–80.14) 259.53(171.29–349.8) 344.69 1.41(0.88–1.95) 2.47(1.64–3.28) 74.41
Both 136.17(92.53–190.73) 563.42(391.9–785.15) 313.78 1.56(1.04–2.16) 2.81(1.95–3.9) 80.42
Prostate cancer
Male 216.48(152.68–294.76) 659.63(469.83–866.99) 204.71 6.57(4.51–8.95) 8.37(5.99–10.81) 27.38
Both 216.48(152.68–294.76) 659.63(469.83–866.99) 204.71 3.24(2.24–4.42) 3.8(2.71–4.92) 17.23
Testicular cancer
Male 29.71(18.6–41.64) 18.69(11.49–25.53) -37.08 0.39(0.25–0.55) 0.15(0.1–0.21) -61.26
Both 29.71(18.6–41.64) 18.69(11.49–25.53) -37.08 0.19(0.13–0.27) 0.07(0.04–0.09) -63.97
Thyroid cancer
Male 20.11(14.11–27.28) 48.51(35.84–64.01) 141.19 0.39(0.27–0.52) 0.48(0.36–0.63) 23.58
Female 40.57(27.14–70.89) 78.11(55.76–127.31) 92.52 0.77(0.52–1.39) 0.67(0.48–1.08) -13.24
Both 60.69(46.17–88.64) 126.62(102.27–166.48) 108.65 0.58(0.45–0.85) 0.58(0.47–0.77) 0.43
Uterine cancer
Female 86.97(51.53–121.05) 140.72(101.25–187.95) 61.8 1.91(1.18–2.65) 1.26(0.91–1.68) -34.12
Both 86.97(51.53–121.05) 140.72(101.25–187.95) 61.8 0.93(0.58–1.3) 0.66(0.48–0.88) -29.2

Among all forms of cancer, the major contributors for mortality in both sexes are lung cancer (12.7%), stomach cancer (9.1%), breast cancer (8.4%), colorectal cancer (6.9%) and esophageal cancer (6%) in 2017. Overall, in both sexes, there has been a significant increase in mortality from pancreatic cancer, liver cancer, ovarian cancer, kidney cancer, and multiple myeloma with a percentage change of 80.42, 54.30, 51.67, 49.84, and 31.28 respectively from 1990 to 2017.

The five most common causes of death from cancer among males were lung cancer (15%), stomach cancer (10.1%), esophageal cancer (7.8%), lip and oral cavity cancer (7.1%) and prostate cancer (7.1%). Prostate and esophageal cancers have an increasing trend of mortality with percentage change of 27.38 and 8.38 respectively from 1990 to 2017. While, a decreasing trend of mortality was found with a percentage change of 3.70, 28.03, and 16.68. for lung, stomach, and oral cavity cancer from 1990 to 2017.

Among females, the five most common causes of death from cancer were breast cancer (16.6%), lung cancer (10.4%), cervical cancer (10.1%), stomach cancer (8.1%), and colorectal cancer (7.0%). Breast, lung, and colorectal cancer have an increasing trend of incidence with a percentage change of 3.22, 2.61, and 2.20, respectively from 1990 to 2017. Table 2 shows the number of deaths is highest among people of age-group 65–69 years. The age-specific mortality rate was highest among people aged 80 years and older for both males 1113.54 (918.02–1300.48) and females 749.56 (603.06–902.34) per 100,000 population in 2017 (Table 4). Fig 1 shows the increase in the death rate per 100,000 population from 50.05 (39.89–64.21) to 57.84 (46.58–70.64) in females and 47.06 (38.25–56.18) to 65.02 (52.21–77.51) in males from 1990 to 2017.

Disability-adjusted life years

Cancer accounted for 5.6% of total DALYs in both sexes in 2017 mostly attributed to lung cancer followed by breast and stomach cancer. DALYs (rates per 100,000 population) for all forms of cancer decreased by 15.96% from 2519.16 (2150.05–2946.53) in 1990 to 2117.11(1816.02–2397.29) in 2017.

In males, lung, stomach, and esophageal cancers claimed most DALYs. In females, breast cancer claimed the highest DALYs, followed by cervix and lung cancers. Table 4 shows all age DALYs and age-standardized DALYs rates. Similar to mortality rate, the DALYs of pancreatic cancer [67.4% increase; 34.37(23.46–48.05) to 57.54(39.95–80.98)], Ovarian cancer [49.32% increase;26.19(17.81–45.78) to 39.1(28.95–51.52)), and Liver cancer (39.8% increase; 55.98(40.39–74.52) to 78.25(53.82–122.81)] showed the greatest increases, while Testicular cancer (67.62% decrease; 9.45 (5.88–13.2) to 3.06(1.77–4.28)], Hodgkin lymphoma [61.02% decrease; 44.88 (31.49–67.27) to 17.49 (10.5–32.11)] and cervical cancer [53.82% decrease; 269.86(158.98–357.53) to 124.63(87.09–170.91)] showed the greatest decreases in DALY rates over time (Table 5).

Table 5. All-age disability-adjusted life-years (DALYs) and age-standardized DALY rates for different types of cancer and their percentage change by gender in Nepal, 1990–2017.

Morphology All-Age DALYs (95% UI) Age-standardized DALY Rate (95% UI), per 100 000
1990 2017 Change, % 1990 2017 Change, %
Neoplasms
Male 146175.39(116397.81–175572.63) 238845.82(188336.68–288138.93) 63.4 2350.15(1907.21–2805.11) 2143.45(1685.08–2571.86) -8.8
Female 167688.42(131853.89–220727.37) 264566.75(209338.85–325872.84) 57.77 2690.41(2141.35–3463.71) 2081.79(1673.56–2566.46) -22.62
Both 313863.8(259964.88–376772.9) 503412.57(426765.17–571694.75) 60.39 2519.16(2150.05–2946.53) 2117.11(1816.02–2397.29) -15.96
Tracheal, bronchus, and lung cancer
Male 19275.04(12737.88–31709.67) 31886.51(22952.45–51322.62) 65.43 350.93(231.03–581.03) 297.26(215.83–479.68) -15.29
Female 9508.16(3085.33–15730.92) 22874.21(8995.43–37089.37) 140.57 187.68(56.63–317.71) 191.24(75–311.39) 1.9
Both 28783.2(17898.09–43999.81) 54760.72(35829.35–76709.73) 90.25 271.97(165.75–415.8) 242.32(158.18–338.39) -10.9
Breast cancer
Male 422.89(322.06–542.59) 879.35(645.38–1130.78) 107.94 7.4(5.69–9.42) 8.16(6.04–10.37) 10.28
Female 22324.2(14056.99–37099.87) 47595.35(34266.87–87107.37) 113.2 374.97(241.33–618.64) 372.56(268.74–678.96) -0.64
Both 22747.09(14418.07–37548.15) 48474.7(35210.61–88091.39) 113.1 187.1(121.59–305.93) 200.55(145.63–362.3) 7.18
Cervical cancer
Female 33751.39(19715.39–45256.96) 30737.74(21361.55–42196.93) -8.93 551.11(324.7–728.41) 235.31(164.72–322.04) -57.3
Both 33751.39(19715.39–45256.96) 30737.74(21361.55–42196.93) -8.93 269.86(158.98–357.53) 124.63(87.09–170.91) -53.82
Colon and rectum cancer
Male 6782.36(4093.52–10886.63) 14353.38(9628.93–21562.66) 111.63 123.75(75.26–195.68) 136.11(92.55–203.91) 9.99
Female 7029.17(4160.44–12448.75) 15006.13(11377.86–19533.96) 113.48 135.05(81.38–234.32) 127.67(97.31–165.96) -5.46
Both 13811.53(9319.29–21594.54) 29359.51(23065.58–37900.19) 112.57 129.41(88.98–199.74) 131.97(104.79–170.15) 1.98
Esophageal cancer
Male 9781.13(7616.07–12377.18) 18205.52(13974.55–22559.74) 86.13 171.61(135.55–215.03) 166.35(128.53–204.37) -3.07
Female 7944.11(6229.52–10392.1) 9566.71(7282.53–12744.13) 20.43 147.38(114.91–193.6) 78.9(60.48–105.27) -46.46
Both 17725.24(14876.69–21312.85) 27772.23(22568.33–33243.15) 56.68 160.15(135.32–192.8) 120.84(98.29–144.14) -24.54
Lip and oral cavity cancer
Male 12958.73(8493.57–19710.36) 18106.19(12446.39–24249.03) 39.72 217.24(142.82–327.23) 162.31(112.74–216.52) -25.29
Female 5288.79(3885.43–6968.44) 10206.2(7943.2–12872.51) 92.98 97.05(71.51–127.32) 83.11(65.33–104.81) -14.37
Both 18247.52(13430.9–25260.41) 28312.39(22176.93–35115.35) 55.16 158.85(116.1–217.88) 121.06(95.67–149.37) -23.79
Stomach cancer
Male 18200.42(13688.47–23212.23) 22302(16520.03–28408.76) 22.54 325.39(250.52–413.59) 207.64(155.57–262.01) -36.19
Female 14374.89(10749.33–20490.87) 19827.9(15300.75–25419.27) 37.93 250.58(189.4–358.48) 160.19(125.48–205.26) -36.07
Both 32575.32(26420.94–39913.48) 42129.89(34853.01–49963.98) 29.33 289.65(239.63–350.91) 183.41(152.47–217.35) -36.68
Bladder cancer
Male 1699.78(1227.29–2912.21) 3771.12(2703.98–6547.77) 121.86 35.86(25.98–59.38) 38.36(27.84–65.81) 6.96
Female 884.96(588.57–1333.67) 1619.86(1145.6–2120.24) 83.04 18.66(12.45–27.94) 14.48(10.25–18.97) -22.37
Both 2584.74(1959.37–3785.01) 5390.97(4157.5–8115.11) 108.57 27.4(20.76–39.17) 25.76(19.9–38.36) -6
Brain and nervous system cancer
Male 6263.41(3159.06–11555.85) 9344.74(4421.34–17918.89) 49.2 69.39(32.19–138.28) 71.56(33.94–136.78) 3.14
Female 9941.46(2906.21–18698.98) 8913.47(5919.18–13908.98) -10.34 100.62(33.76–186.79) 61.95(40.92–96.12) -38.43
Both 16204.87(9031.45–25820.6) 18258.21(11886.93–30586.76) 12.67 84.8(54.38–132.57) 66.68(43.8–110.48) -21.37
Gallbladder and biliary tract cancer
Male 2168.46(1503.83–3278.42) 4877.02(2978.67–6941.07) 124.91 41.03(29.04–62.42) 46.33(28.63–65.73) 12.92
Female 4060.99(2771.53–8058.47) 9729.14(6830.38–14961.62) 139.58 81.11(56.13–163.33) 82.48(58.02–127.49) 1.69
Both 6229.45(4597.35–10689.01) 14606.16(10796.77–19727.16) 134.47 60.54(45.07–104.51) 65.29(48.72–87.48) 7.83
Hodgkin lymphoma
Male 5364.56(3346.34–8725.41) 3032.55(1696.8–6033.83) -43.47 62.42(40.53–103.52) 22.81(12.72–45.33) -63.45
Female 2366.09(1542.06–3382.96) 1972.47(1112.79–3729.52) -16.64 26.96(18.16–38.11) 12.51(7.25–23.21) -53.61
Both 7730.65(5123.25–11554.27) 5005.03(2981.11–9214.02) -35.26 44.88(31.49–67.27) 17.49(10.5–32.11) -61.02
Kidney cancer
Male 890.69(529.92–1551.53) 2382.75(1499.7–3979.88) 167.52 12.81(7.64–20.35) 21.16(13.31–35.37) 65.15
Female 764.09(445.22–1388.01) 1381.76(911.47–2066.78) 80.84 10.52(6.12–17.74) 10.87(7.21–16.23) 3.33
Both 1654.77(1054.5–2596.32) 3764.51(2545.23–5691.44) 127.49 11.69(7.32–16.72) 15.81(10.74–23.79) 35.22
Larynx cancer
Male 9307.9(7001.15–12217.29) 12569.52(9415.08–16618.73) 35.04 162.87(124.57–212.47) 113.77(85.66–149.85) -30.15
Female 4453.42(3138.75–5969.74) 5338.77(3716.81–6974.43) 19.88 78.55(53.96–104.58) 42.88(29.58–56.12) -45.41
Both 13761.32(11006.05–16856.67) 17908.29(14393.78–21738.22) 30.13 122.15(97.6–149.98) 76.95(61.77–92.92) -37
Leukemia
Male 13699.49(8828.52–19380.07) 16139.7(10681.9–22110.92) 17.81 143.59(102.45–186.9) 121.06(79.82–163.54) -15.69
Female 14346.11(8168.65–29003.8) 16430.36(12013.03–22188.88) 14.53 150.51(94.83–272.37) 111.86(81.9–149) -25.68
Both 28045.6(17665.61–46777.53) 32570.06(24272.61–41539.81) 16.13 147.07(106.65–213.95) 116.62(87.74–148.12) -20.71
Liver cancer
Male 4023.17(2354.9–5921.8) 12408(7194.62–21419.52) 208.41 68.71(39.88–99.5) 112.56(64.98–192.54) 63.83
Female 2381.26(1241–3409.39) 5679.39(4003.37–7974.88) 138.5 42.42(22.52–60.99) 46.75(32.84–65.33) 10.19
Both 6404.43(4594.46–8544.3) 18087.38(12329.42–28502.49) 182.42 55.98(40.39–74.52) 78.25(53.82–122.81) 39.8
Malignant skin melanoma
Male 394.73(249.67–724.18) 637.22(403.59–1080.72) 61.43 6.12(3.94–11.05) 5.57(3.54–9.35) -9
Female 278.1(137.31–708.35) 606.26(356.73–1304.31) 118.01 4.59(2.34–11.48) 4.63(2.74–9.87) 0.98
Both 672.82(436.95–1274.71) 1243.48(821.69–2175.29) 84.82 5.36(3.55–10.17) 5.09(3.38–8.9) -5.02
Mesothelioma
Male 250.9(130.09–506.1) 579.5(369.57–836.58) 130.96 4.33(2.26–8.64) 5.31(3.42–7.59) 22.55
Female 272.8(104.66–550.88) 364.64(228.28–564.09) 33.66 4.45(1.78–8.76) 2.8(1.78–4.31) -37.1
Both 523.71(274.35–1017.2) 944.14(651.38–1365.7) 80.28 4.41(2.34–8.45) 4.01(2.79–5.74) -9.01
Multiple myeloma
Male 958.81(560.32–1623.77) 2357.43(1425.98–4003.06) 145.87 16.74(9.91–28.87) 21.35(13.01–36.02) 27.53
Female 992.67(661.21–1542.75) 2781.13(1830.01–4417.11) 180.17 19.03(12.6–30.31) 23.21(15.3–36.66) 21.97
Both 1951.48(1343.81–3032.25) 5138.56(3593.1–7850.55) 163.32 17.87(12.52–27.71) 22.35(15.74–33.83) 25.08
Nasopharynx cancer
Male 2256.36(1574.74–3032.74) 3376.97(2471.8–4382.12) 49.66 36.12(25.82–48.08) 29.56(21.6–38.33) -18.17
Female 1876.59(1387.34–2418.6) 2048.27(1537.15–2588.67) 9.15 29.37(21.8–38.21) 15.58(11.78–19.73) -46.95
Both 4132.95(3303.98–5015.21) 5425.24(4369.06–6514.43) 31.27 32.87(26.6–39.56) 22.28(18.01–26.57) -32.2
Non-Hodgkin lymphoma
Male 4582.68(2943.31–7372.61) 7723.88(5336.26–11423.65) 68.55 60.87(38.72–91.33) 64.28(43.86–95.22) 5.61
Female 2809.8(1883.51–4068.61) 5758.65(3446.67–8207.41) 104.95 38.54(26.53–53.42) 43.67(26.43–62.69) 13.3
Both 7392.48(5423.58–10133.57) 13482.53(10024.23–17228.9) 82.38 49.8(38.86–64.35) 53.6(40.27–68.56) 7.64
Non-melanoma skin cancer
Male 1296.76(801.1–1746.42) 2512.27(1626.13–3224.6) 93.73 25.54(15.2–34.26) 24.93(16.02–31.72) -2.41
Female 283.18(170.89–489.22) 551.88(424.05–724.35) 94.89 5.63(3.62–9.34) 4.83(3.72–6.27) -14.17
Both 1579.94(1055.83–2096.11) 3064.16(2125.64–3821.52) 93.94 15.77(10.22–21.04) 14.31(9.81–17.8) -9.23
Other pharynx cancer
Male 6415.08(3672.12–10137.04) 13683.54(9201.5–19317.98) 113.3 108.72(62.45–171.18) 122.49(82.42–172.31) 12.67
Female 3988.83(2964.75–5463.99) 7604.4(5708.45–10527.05) 90.64 69.44(51.49–94.79) 60.44(45.46–83.5) -12.95
Both 10403.9(7710.28–14520.96) 21287.94(16071.92–27968.49) 104.61 89.84(65.99–126.09) 90.32(68.26–118.22) 0.53
Ovarian cancer
Female 3078.23(2072.9–5495.34) 9405.66(6937.78–12473.28) 205.55 53.66(36.49–93.9) 74.41(54.99–98.26) 38.68
Both 3078.23(2072.9–5495.34) 9405.66(6937.78–12473.28) 205.55 26.19(17.81–45.78) 39.1(28.95–51.52) 49.32
Pancreatic cancer
Male 2125.43(1364.4–3433.56) 6929.6(4343.53–11245.98) 226.03 38.75(24.84–61.94) 65.12(41.8–104.65) 68.02
Female 1467.51(997.25–1995.03) 5898.89(3933.24–7910.21) 301.97 29.76(19.47–40.58) 50.54(33.57–67.81) 69.81
Both 3592.93(2499.74–5052.19) 12828.49(8887.95–18122.03) 257.05 34.37(23.46–48.05) 57.54(39.95–80.98) 67.4
Prostate cancer
Male 4054.97(2943.3–5515.14) 11072.92(7848.86–14710.17) 173.07 100.17(71.05–136.33) 121.18(85.96–159.38) 20.97
Both 4054.97(2943.3–5515.14) 11072.92(7848.86–14710.17) 173.07 50.63(35.94–68.86) 56.75(40.28–74.87) 12.08
Testicular cancer
Male 1577.81(951.64–2218.72) 907.02(538.54–1280.61) -42.51 19.34(11.98–27.02) 6.7(3.84–9.42) -65.34
Both 1577.81(951.64–2218.72) 907.02(538.54–1280.61) -42.51 9.45(5.88–13.2) 3.06(1.77–4.28) -67.62
Thyroid cancer
Male 696.64(483.45–967.48) 1367.83(990.21–1807.24) 96.35 10.93(7.71–14.84) 11.98(8.75–15.78) 9.54
Female 1547.42(1020.32–2607.5) 2545.31(1775.4–4189.15) 64.49 23.09(15.4–40.11) 18.89(13.38–30.63) -18.2
Both 2244.06(1624.76–3276.11) 3913.14(3028.83–5290.95) 74.38 17.02(12.72–24.78) 15.69(12.35–20.97) -7.77
Uterine cancer
Female 2426.67(1372.55–3449.38) 3637.86(2593.66–4938.2) 49.91 46.41(27.01–64.63) 30.17(21.43–40.52) -34.99
Both 2426.67(1372.55–3449.38) 3637.86(2593.66–4938.2) 49.91 22.58(13.15–31.41) 15.79(11.24–21.2) -30.09

Risk factors

The leading risk factors associated with the highest DALYs were tobacco 315.2 (248.3–384.3) [smoking 257.1 (199.7–317.1), chewing tobacco 72.1 (53.5–91.0)], diet 126.1 (92.8–159.8), unsafe sex 102.8 (71.5–141.2), alcohol use 96.9 (66.5–129.2), air pollution 74.0 (44.4–109.1), low fruit intake 58.0 (31.3–90.0), and high sodium intake 36.2 (6.6–71.9) (Fig 2).

Fig 2. Risk factors of cancer contributing to DALYs in Nepal, 2017.

Fig 2

Discussion

Nepal is facing fluctuations in cancer prevalence and DALYs over the past 27 years. The top 5 cancers according to the age-standardized incidence rate, both sexes are breast, lung, cervical, stomach and oral cavity cancer. The burden of cancer particularly; cancer-associated mortality rate and disability-adjusted life years due to cancer is increasing. With the increased availability of advanced and sensitive diagnostic modalities for early detection, the incidence of asymptomatic cancers with an indolent course like pancreatic, ovarian, liver, kidney and thyroid cancer is increasing over 27 years in both sexes while the incidence of symptomatic but hidden cancers like larynx cancer, esophageal cancer, nasopharynx cancer, Hodgkin lymphoma, and cervical cancer is decreasing. Although the incidence of cancer was seen highest in the age group 60–70 years in both sexes, the age-specific incidence rate is highest among people aged 80 years because increasing age is a major risk factor for cancer due to decreasing telomerase activity, increasing exposure, and a slower rate of cell development [19]. This corroborates with global data as 60% of cancers occur in people 65 years of age or older worldwide. The elderly population often miss out on health education and awareness campaigns; hence strategies should be formulated to address this population while planning and conducting public health campaigns.

Lung cancer

Lung cancer ranked the top in terms of incidence and prevalence and also had the highest death rate. It is the most common cancer in males and the second most common cancer in females according to ASIR. In women, lung cancer has an increasing trend of incidence, but a decreasing trend was observed in males with a male-female ratio of 1.625. This increase in trend due to advanced and sensitive diagnosis with low dose-CT leading to early detection. However, there has been significant development in the radiotherapy and chemotherapy modalities, but ongoing risk factors continue to be a threat.

The most important risk factor for lung cancer is smoking. Most smokers start at a young age and a cumulative exposure to smoking over the years leads to multiple cancers [20]. Like many South Asian countries, Nepal is an agricultural country that produces tobacco as a cash crop and has a population that indulges in chewing tobacco, using hookah or pipes for smoking tobacco; and tobacco is sold widely in cheap brands [21, 22]. World Health Organization’s STEPwise approach to non-communicable disease risk factor surveillance (STEPS) survey in 2019 showed that 28.0% of men and 7.5% of women smoked tobacco products; 33.3% of men and 4.9% of women used smokeless tobacco; and that the prevalence of smoking among adult Nepalese females was one of the highest in the WHO South-East Asia Region [23]. In a survey of the national burden of disease in 2017, almost 13% of deaths are attributable to smoking [24]. Nepal ratified the WHO Framework Convention on Tobacco Control (WHO FCTC) in 2006 and formulated National Anti-Tobacco Communication Campaign Strategy. The government has formulated a tobacco control law, utilized mass media for health education, an excise tax on tobacco, banned smoking in public places, and made efforts to reduce the supply of tobacco products [25]. The high burden of lung cancer in women despite less burden of smoking could be attributed to the inhalation of indoor smoke, and second-hand smoke among rural women [10].

Breast cancer and cervical cancer

Among females, cancer is the second leading cause of death worldwide with breast, colorectal, and lung cancers leading the charts [26]. But even globally, between 2007 and 2017, cervical cancer incidence and mortality rates have increased by 19% each [27]. This contrasts with our data where the second most common cancer in the female is cervical cancer. Female-related cancers, namely, breast cancer followed by cervical cancer have an increasing trend of age-standardized incidence in Nepal. In our study, cervical cancer has a decreasing trend of incidence among females. The national agenda to curb diseases such as cervical cancer and breast cancer might have potentially played a role.

Early detection of breast cancer is available through awareness and screening. However, coverage of mammography is still limited, and most women are diagnosed in a late stage leading to suboptimal survival. Despite ongoing public health efforts, there is low knowledge of breast cancer among Nepalese women [28]. Factors that contribute to an increasing trend in breast cancer incidence among Asian women are not fully understood but thought to reflect lifestyle changes associated with westernization, including late childbearing, having fewer children, and consumption of calorie-dense food, physical inactivity, and obesity [29]. The increasing trend in our study may reflect a collaboration of changed environmental factors, including the delay of childbearing, increases in the levels of obesity, and early cancer screening.

The higher burden of cervical cancer among Nepalese women is due to Human papillomavirus (HPV) infection. In developing countries like Nepal, women belonging to lower socio-economic status higher levels of illiteracy are uncomfortable sharing the symptoms like abnormal vaginal bleeding such as post-coital bleeding, intermenstrual bleeding, or post-menopausal bleeding immediately after onset leading to late diagnosis [30]. However, the increased incidence and decreased trend in mortality can be credited to the cervical cancer screening programs leading to its early detection and treatment. Visual Inspection with acetic acid as recommended by WHO in low-income countries for the early detection of cervical cancer has been advocated in the public health system of Nepal making the procedure freely available from the health post to the tertiary care center [31]. Nepal has an intermediate burden of HPV infection and theoretically, approximately 80% of cervical cancer is preventable by HPV vaccines [32]. There have been a few pilot programs for the demonstration of the HPV vaccine in some districts of Nepal [33, 34]. But still, the HPV vaccine is not available in the National Immunization Program.

Stomach cancer

Stomach cancer ranks fourth in the national cancer burden. Stomach cancer has a decreasing trend of incidence in both males and females. Dietary patterns also ranked the third risk factor associated with DALY. The decreasing trend of incidence and prevalence of this cancer can be explained by the increased availability of upper gastro-intestinal endoscopic screening leading to early detection and management and hence higher survival rates of stomach cancer. It is known that apart from smoking, Helicobacter pylori infection is a known risk factor for stomach cancer which was found to be around 16% among the study population that increased among the lower socio-economic population as found by Ansari et al. in their hospital-based study [35]. There is a decreasing prevalence of H. pylori infection due to highly effective antimicrobial therapies; cheaper and sensitive laboratory tests like serum antigen detection and H. pylori urea breath testing; improved living conditions, and healthy and hygienic food practices lead to the declining rates.

Oral cavity cancer

In our study, there is a decreasing trend in the incidence of oral cavity cancer in both sexes. It is the second most common cancer among men in South-Central Asia [36]. This region has high incidence rates for oral cancer because, in addition to tobacco smoking, tobacco chewing as well as chewing betel quid and areca nut also poses a major risk in acquiring oral cavity cancer. In a study, tobacco consumption and alcohol drinking were responsible for almost 85.3% of head and neck cancers with a population attributable fraction (PAF) of 24.3% for smoking, 39.9% for tobacco chewing, and 23.0% for alcohol drinking [37]. The interplay of the trends of the two risk factors to which the highest proportion of cancer DALYs in Nepal could be attributed to tobacco and alcohol use; and their consumption in Nepal has increased during this period [9].

Colorectal cancer (CRC)

Globally, while there is a declining trend of CRC incidence worldwide, there is an increasing trend of incidence and mortality for CRC in Asian countries [38]. In this study, there is also an increased incidence of CRC among both sexes in Nepal. Similar to our findings, the other studies conducted in Tribhuvan University Teaching Hospital (Kathmandu, Nepal) from 1990 to 2008 and in B.P. Koirala Memorial Cancer Hospital (Chitwan, Nepal) from 2014 to 2018 also reported an increasing proportion of younger age groups in CRC incidence with slight male preponderance [39, 40]. Globally, the declining trend of CRC has largely been associated with an increase in screening rates in 50 years or older age groups but the incidence rates are increasing among adults under 50 years, for whom screening is not recommended [41].

Unfavorable increased colorectal cancer rates are thought to reflect changes in dietary patterns, obesity, and smoking rates, often seen in economically transitioning countries. Apart from predominant modifiable risk factors like tobacco and alcohol consumption in Nepal, a poor diet like low consumption of fruits and vegetables which are rich in fiber; and high consumption of red or processed meat ranks significantly high in contributing to DALY [42]. With public health strategies addressing to make modest changes in the consumption of alcohol and red-processed meat, weight loss and increased levels of physical activity may translate into significant reductions in the incidence of colorectal cancer [43].

Other cancers

In our study, among the male-related cancers, there is a rapid rise in prostate cancer incidence and a decrease in the incidence of testicular cancer. Worldwide in 2017, prostate cancer had the highest incidence among men in 114 countries and was the fifth leading cause of death from cancer among men in 56 countries [27]. In contrast to the declining incidence of prostate cancer in Western countries, the rates have increased in some Asian countries including India [44]. Differences in average life expectancy, Western foods high in calories and fat, and medical checkups for prostate cancer in Asian countries, may explain the difference in incidence in different countries. The increasing incidence rates as detected by efficient use of the combination of the digital rectal examination, serum prostate-specific antigen, and transrectal ultrasonographic evaluation with systematic biopsy, combined with an aging and growing population has led to an increase in prostate cancer cases since 2007 [27]. Testicular cancer is the most common cancer among young men between ages 20–34 in Asian countries with a high Human Development Index (HDI) with a positive correlation between HDI and the standardized incidence rate of testicular cancer and negative correlation with standardized mortality rate [45]. Nepal belongs to the medium human development category, positioning it at 147 out of 189 countries and territories where testicular cancers don’t comprise a significant burden and have a decreasing trend.

There is very few oncology dedicated tertiary care hospitals in Nepal with health care experts. For a country with a 28.09 million population, the reach of comprehensive and affordable oncology-specific tertiary care is still sparse. It is estimated that the average direct cost of cancer care in Nepal is NRs 387,000 (1 USD = NRs 119) and the average medical cost is NRs 313,000 which is higher than the average annual income of a Nepalese citizen (NRs 78,946.00) [6]. The Government of Nepal provides a fund of only US$ 1000 (NRs 100,000) to support patients with cancer [46], which is not enough and many non-government organizations are working on improving cancer awareness and prevention in Nepal as well [47].

Recommendations

Nepal’s trend of cancer incidence and mortality have increased in 27 years with fluctuations in some cancers trend. Strong implementation of the tobacco control law is needed along with an increase in tobacco excise taxes and tobacco cessation programs. Restriction or increase of the tax for processed foods seems to be an important step in reducing diet-related cancers. National Cancer Registry is a landmark initiative by the Government of Nepal established in 2003 to generate data on the enormity and trends of cancer through the population and hospital-based registries [48]. However, these data limit information on the patterns of cancer burden and epidemiology in Nepal. A robust cancer registry, production of oncology-related human resources, and development of diagnostic and treatment facilities, along with the incorporation of HPV vaccine in the national immunization program can be the other modalities for the prevention of cancers. Creating awareness on cancer among the public along with the importance of physical activity and diet and screening for early diagnosis and treatment is fundamental in reducing the future trend. The fund provided by the government should also be increased to address the financial burden to cancer patients and hence help increase the quality of life.

Strength and limitations

This is the first unique report that provides the most comprehensive estimates on trends and distribution of the burden of cancer at a national level in Nepal from 1990 to 2017. However, a few vital limitations should also be considered. First, there is a lack of primary data sources due to limited resources in Nepal. Second, the data used for this study were derived from GBD 2017, so all the general limitations attributed to that study’s methodology are also applicable here [16, 49, 50]. Third, the assessment of the burden of cancer was restricted to standard epidemiological parameters, meaning monetary and social burdens were not considered. These limitations may signify this study undervalued the actual cancer burden in Nepal.

Conclusions

This study highlighted the burden of different types of cancer in Nepal over 27 years. Cancer is a major public health problem and accounted for 10% of total deaths in Nepal. The incidence and mortality due to cancer are in an increasing trend with a high impact on DALYs. Breast followed by lung, cervical, stomach and oral cavity cancers were the topmost cancers. Tobacco use, unhealthy food, and unsafe sexual behaviors are the predominant risk factors for cancer. This calls for urgent measures to raise awareness by health education intervention and implement effective cancer screening programs all over the country.

Data Availability

The datasets used and/or analyzed during the current study are available in the article itself and can be found freely at http://ghdx.healthdata.org/.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Rashidul Alam Mahumud

24 Jun 2021

PONE-D-21-04298

Cancer burden in Nepal, 1990-2017: An analysis of the Global Burden of Disease Study

PLOS ONE

Dear Dr. Shrestha,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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Rashidul Alam Mahumud, MPH, MSc, PhD

Academic Editor

PLOS ONE

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Reviewer #1: Yes

**********

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Reviewer #1: Yes

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Reviewer #1: Yes

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Reviewer #1: Generally, it is well organised research paper, finding are interesting but there are some issues need to address;

1. Abstract should match with the full text; you said WHO and IHME database in the main text but not clear in the abstract.

2. Line 43 try to make a complex sentence.

3. Line 45 what is GLOBOCAN??

4. Line 50-53 need references

5. Line 67-69 no need to inform it is free, rewrite this sentence

6. Line 82 Where you used the WHO data? Please explain details regarding it.

7. Line 91 not needed

8. Line 210 Start discussion from the beginning of your study findings

9. Line 211-222 Did your findings support to discuss this?

10. Line 254-258 need references

11. Line 299-300 Make it clear

12. Line 305 Need references

13. Line 329-330 Which study and when?

14. Line 385 Conclusion; need to add more based on the findings

**********

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Reviewer #1: Yes: Padam Dahal

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PLoS One. 2021 Aug 3;16(8):e0255499. doi: 10.1371/journal.pone.0255499.r002

Author response to Decision Letter 0


29 Jun 2021

Author’s responses to editor and reviewers’ comments/suggestions

Editor

1. Editor’s comment: Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Authors’ reply: We have revised the manuscript as per the journal’s style requirements.

2. Editor’s comment: Please review your reference list to ensure that it is complete and correct.

Authors’ reply: We have reviewed the entire reference list and ensured that it is complete and correct.

We do not have any retracted papers cited in this manuscript.

Reviewer 1

1. Reviewer’s comment: Abstract should match with the full text; you said WHO and IHME database in the main text but not clear in the abstract.

Authors’ reply: Thank you for picking up this point. We have removed WHO as we have used only IHME’s GBD data in our study. We have also revised the abstract to match the full text (revised manuscript page number 2).

2. Reviewer’s comment: Line 43 try to make a complex sentence.

Authors’ reply: We have revised the lines 43 and 44 in a single sentence (revised manuscript page number 4, line 48,49).

3. Reviewer’s comment: Line 45 what is GLOBOCAN??

Authors’ reply: We have used the full form Global Cancer Observatory, which annually provides data on cancer for all countries (revised manuscript page number 4 line 49)

4. Reviewer’s comment: Line 50-53 need references

Authors’ reply: References added to the sentence (revised manuscript page number 4, line 55-58).

5. Reviewer’s comment: Line 67-69 no need to inform it is free, rewrite this sentence

Authors’ reply: We have removed the “freely available” phrase and rewrote the sentence (revised manuscript page number 6, line 82-84).

6. Reviewer’s comment: Line 82 Where you used the WHO data? Please explain details regarding it.

Authors’ reply: Thank you for this query. We have not used the WHO data. It is now corrected in the manuscript (Revised manuscript page number 6, line 82-88).

7. Reviewer’s comment: Line 91 not needed

Authors’ reply: We have deleted the ethical approval part from the manuscript as suggested.

8. Reviewer’s comment: Line 210 Start discussion from the beginning of your study findings

Authors’ reply: We have now revised the discussion by mentioning the major findings of the study in the beginning (Revised manuscript page number 34, line 242-246).

9. Reviewer’s comment: Line 211-222 Did your findings support to discuss this?

Authors’ reply: We have shifted this paragraph to the end of the discussion to make sense as well as to inform the readers about the availability of treatment centers in Nepal and the government support to the cancer patients (Revised manuscript page number 40-41, line 390-398).

10. Reviewer’s comment: Line 254-258 need references

Authors’ reply: We have added the references for this sentence (Revised Manuscript page number 36, line 270-274).

11. Reviewer’s comment: Line 299-300 Make it clear

Authors’ reply: We have rewritten the sentence to make it clear as " But still the HPV vaccine is not available in the National Immunization Program. (Revised manuscript page number 37, line 322-323).

12. Reviewer’s comment: Line 305 Need references

Authors’ reply: This is the findings from this study and hence this sentence will not require the reference (revised line 325)

13. Reviewer’s comment: Line 329-330 Which study and when?

Authors’ reply: We have mentioned the names of the institution with address and the period when the studies were conducted in the revised manuscript (Revised manuscript page number 39, line 354-357).

14. Reviewer’s comment: Line 385 Conclusion; need to add more based on the findings

Authors’ reply: We have revised the conclusion based on our findings (revised page number 43).

Attachment

Submitted filename: Response to reviewers.docx

Decision Letter 1

Rashidul Alam Mahumud

19 Jul 2021

Cancer burden in Nepal, 1990-2017: an analysis of the Global Burden of Disease Study

PONE-D-21-04298R1

Dear Dr. Shrestha,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Rashidul Alam Mahumud, MPH, MSc, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Rashidul Alam Mahumud

26 Jul 2021

PONE-D-21-04298R1

Cancer burden in Nepal, 1990-2017: an analysis of the Global Burden of Disease Study

Dear Dr. Shrestha:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Rashidul Alam Mahumud

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

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    Data Availability Statement

    The datasets used and/or analyzed during the current study are available in the article itself and can be found freely at http://ghdx.healthdata.org/.


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