Prediction of Cancer Incidence and Mortality in Korea, 2015 (original) (raw)
Special Article Prediction of Cancer Incidence and Mortality in Korea, 2015
[Kyu-Won Jung](/articles/search%5Fresult.php?term%5Ftype=authors&term=Kyu-Won Jung), MS1,2, [Young-Joo Won](/articles/search%5Fresult.php?term%5Ftype=authors&term=Young-Joo Won), PhD1,2, [Chang-Mo Oh](/articles/search%5Fresult.php?term%5Ftype=authors&term=Chang-Mo Oh), MD, PhD1,2, [Hyun-Joo Kong](/articles/search%5Fresult.php?term%5Ftype=authors&term=Hyun-Joo Kong), MS1,2, [Hyunsoon Cho](/articles/search%5Fresult.php?term%5Ftype=authors&term=Hyunsoon Cho), PhD1,2, [Duk Hyoung Lee](/articles/search%5Fresult.php?term%5Ftype=authors&term=Duk Hyoung Lee), MD, PhD2, [Kang Hyun Lee](/articles/search%5Fresult.php?term%5Ftype=authors&term=Kang Hyun Lee), MD, PhD1
Cancer Research and Treatment : Official Journal of Korean Cancer Association 2015;47(2):142-148.
DOI: https://doi.org/10.4143/crt.2015.066
Published online: March 17, 2015
1The Korea Central Cancer Registry, National Cancer Center, Goyang, Korea
2National Cancer Control Institute, National Cancer Center, Goyang, Korea
Correspondence: Young-Joo Won, PhD The Korea Central Cancer Registry, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang 410-769, Korea
Tel: 82-31-920-2015 Fax: 82-31-920-2179 E-mail: astra67@ncc.re.kr
• Received: February 17, 2015 • Accepted: March 2, 2015
Copyright © 2015 by the Korean Cancer Association
This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
- Purpose
For estimation of Korea’s current cancer burden, this study aimed to report on the projected cancer incidence and mortality rates for the year 2015. - Materials and Methods
Cancer incidence data from 1999 to 2012 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2013 were acquired from Statistics Korea. The cancer incidence in 2015 was projected by fitting a linear regression model to the observed age-specific cancer incidence rates against the observed years and then multiplying the projected age-specific rates by the age-specific population. A similar procedure was used for cancer mortality, except a Joinpoint regression model was used to determine at which year the linear trend changed significantly. - Results
A total of 280,556 new cancer cases and 76,698 cancer deaths are expected to occur in Korea in 2015. The crude incidence rate per 100,000 of all sites combined will likely reach 551.6 and the age-standardized incidence rate, 347.6. The estimated five leading primary cancer incidence sites are the stomach, colorectum, lung, prostate, and liver in men; and thyroid, breast, colorectum, stomach, and lung in women. The projected crude mortality rate of all sites combined and age-standardized rate is 150.8 and 82.4, respectively. - Conclusion
Cancer is currently one of the foremost public health concerns in Korea, and as the population ages, the nation’s cancer burden will continue to increase. - Key words: Incidence, Mortality, Neoplasms, Forecasting, Korea, 2015
Introduction
As the leading cause of death in Korea [1], cancer has been the country’s major public health concern since 1983. Over 210,000 patients were newly diagnosed with cancer in Korea, and one in four deaths is due to cancer [2]. Although the cancer registration system in Korea is highly efficient and can provide nationwide cancer statistics within a relatively brief period, a lag time of at least 2 years is required for collection, compilation, and analysis of the data on a specific year. For planning and implementation of comprehensive cancer control programs, it is important to assess the number of new cases and deaths that are expected to occur during the current year. In this study, we report the projected cancer incidence and mortality for the year 2015 based on data from the 1990s through 2013.
Materials and Methods
The Korean Ministry of Health and Welfare initiated a nationwide, hospital-based cancer registry, the Korea Central Cancer Registry (KCCR), in 1980. The history, objectives, and activities of the KCCR have been documented in detail elsewhere [3]. Incidence data from 1999 to 2012 were obtained from the Korea National Cancer Incidence Database (KNCI DB). Cancer cases were classified according to the International Classification of Diseases for Oncology, third edition [4], and converted according to the International Classification of Diseases, 10th edition (ICD-10) [5]. Mortality data from 1993 to 2013 were acquired from Statistics Korea [1]. The causes of death were coded and classified according to ICD-10 [5].
The cancer sites included in this study were (1) all cancers combined and (2) the 24 common cancers as follows: lip, oral cavity, and pharynx (C00-C14), esophagus (C15), stomach (C16), colon and rectum (C18-C20), liver and intrahepatic bile ducts (liver) (C22), gallbladder and other parts of the biliary tract (gallbladder) (C23-C24), pancreas (C25), larynx (C32), lung and bronchus (lung) (C33-C34), breast (C50), cervix uteri (C53), corpus uteri (C54), ovary (C56), prostate (C61), testis (C62), kidney (C64), bladder (C67), brain and central nervous system (C70-C72), thyroid (C73), Hodgkin lymphoma (C81), non-Hodgkin lymphoma (C82-C85, C96), multiple myeloma (C90), leukemia (C91-C95), and others.
Population data from 1993 to 2014 were obtained from the resident registration population, as reported by Statistics Korea. Data on the mid-year population, as of July 1 of the respective years, were analyzed. However, for the year 2015, we used population data as of December 31, 2014 because the mid-2015 resident registration population was not yet available at the time of analysis.
Due to the time required for data collection, compilation, quality control, and analysis, the incidence and mortality data for a specific year are usually available 2-3 years later. Therefore, to provide an estimate of the nation’s current cancer burden, we attempted to project, ahead of 2015, the expected number of new cancer cases and deaths in Korea for the year. Linear regression models [6] were used to assess time trends and projections. Based on the observed cancer incidence data from 1999 to 2012, a linear regression model was fitted to age-specific rates by 5-year age groups against the observed years. The estimated number of new cancer cases was calculated from the projected age-specific rates for 2015 by multiplying the rates by the projected 2015 agespecific population size. For thyroid and prostate cancer, which showed significant curvilinear trends, we used a square-root transformation when fitting a linear regression model and converted the predicted values back to the original scale.
To predict the cancer mortality rate in 2015, we first performed a Joinpoint regression analysis on the data available for 1993-2013 to determine the year when significant changes occurred in cancer mortality trends according to sex and cancer site. A Joinpoint regression describes changes in data trends by connecting several different line segments on a log scale at “joinpoints.” This analysis was performed using the Joinpoint software (ver. 4.0.1, http://surveillance.cancer.gov/joinpoint) from the Surveillance Research Program of the US National Cancer Institute [7].
After identifying the year during which significant trend changes occurred through Joinpoint regression analysis, a simple linear regression model was fitted to the last line segment for estimation of age-specific cancer mortality rates in 2015. Similar to the method used for the projection of cancer incidence, the number of new deaths in 2015 was then predicted by multiplying age-specific cancer mortality rates by the year’s age-specific population.
We summarized the results using crude rates (CRs) and age-standardized rates (ASRs) of cancer incidence and mortality. ASRs were standardized using the world standard population [8] and expressed per 100,000 persons.
Results
1. Incidence
A total of 280,556 new cancer cases are anticipated in 2015 (Table 1, Fig. 1) with more female (n=142,809) than male (n=137,747) cancer patients expected in the coming year.
The projected CRs per 100,000 of all sites combined in 2015 are 541.9 and 561.3 in men and women, respectively. Moreover, the projected ASRs per 100,000 of all sites combined are 361.1 and 353.1, respectively (Table 2). In men, the five leading primary sites of cancer are expected to be the stomach (CR, 94.1; ASR, 61.3), colon and rectum (CR, 92.4; ASR, 60.7), lung (CR, 69.5; ASR, 44.7), prostate (CR, 58.3; ASR, 38.1), and liver (CR, 50.1; ASR, 32.6), accounting for 67.3% of all newly diagnosed cancers in 2015. In women, the five leading primary sites are expected to be the thyroid (CR, 214.2; ASR, 150.4), breast (CR, 76.5; ASR, 50.5), colon and rectum (CR, 57.2; ASR, 31.0), stomach (CR, 43.8; ASR, 24.3), and lung (CR, 31.3; ASR, 15.8), accounting for 75.3% of all newly diagnosed cancers (Fig. 1). Thyroid cancer alone is projected to account for approximately 38.2% (54,491 cases) of incident cases in women in 2015.
The five most common cancer sites expected in 2015 by sex and age group are shown in Table 3. Leukemia and thyroid cancer are expected to be the most common forms of cancer in both sexes for the 0-14 and 15-34 age groups. Stomach cancer is predicted to be the most prevalent in men aged 35-64 years, whereas lung cancer is expected to be more frequent in men aged 65 and over. Thyroid cancer is predicted to be the most common cancer in women 35-64 years of age, whereas colorectal cancer is expected to be the most prevalent in women aged 65 and over. These projections indicate that the incidences of stomach, lung, liver, colorectal, and prostate cancers will increase gradually with age for men. In women, the age-specific incidence rates of stomach, colorectal, liver, lung, and cervical cancers denote a rising trend in these cancers with age; however, the incidence of breast and thyroid cancer in women is expected to level off after the late 40s and early 50s, respectively (Fig. 2).
2. Mortality
It is estimated that 76,698 cancer deaths will occur in Korea during 2015 (Table 1, Fig. 1). The projected CRs per 100,000 of all sites combined in 2015 for men and women are 187.0 and 114.6, respectively, whereas the projected ASRs per 100,000 of all sites combined are 121.7 and 54.5, respectively (Table 4). The predicted five leading cancer sites causing mortality in men are lung (CR, 50.1; ASR, 31.9), liver (CR, 31.5; ASR, 20.4), colon and rectum (CR, 20.5; ASR, 13.4), stomach (CR, 18.9; ASR, 12.2), and pancreas (CR, 11.1; ASR, 7.2). During the same time period, lung cancer (CR, 19.0; ASR, 8.5) is projected to be the leading cancer site in women, causing mortality, followed by the colon and rectum (CR, 15.0; ASR, 6.6), liver (CR, 11.1; ASR, 5.2), stomach (CR, 10.7; ASR, 4.7), and pancreas (CR, 10.1; ASR, 4.5). As a result of a continuous decrease in stomach cancer deaths, stomach was first predicted to be the fourth-common cancer death site in women.
The predicted age-specific mortality rates of the selected cancers for males and females in 2015 are shown in further detail in Fig. 3. When examined by age, Korean men and women aged 60 and over are expected to have the highest mortality rates from lung cancer.
Conclusion
A total of 280,556 new cancer cases and 76,698 cancer deaths are expected to occur in Korea during 2015. In Korean males, it is anticipated that stomach, colorectal, lung, prostate, and liver cancers will be the most commonly occurring, whereas it is expected that lung, liver, colorectal, stomach, and pancreatic cancers will be the most common causes of cancer-related deaths. In Korean women, it is anticipated that thyroid, breast, colorectal, stomach, and lung cancers will be the most prevalent, whereas it is projected that lung, colorectal, liver, stomach, and pancreatic cancers will be the most common causes of cancer-related deaths.
Cancer is currently one of the foremost public health concerns in Korea. The country will likely see its cancer burden continue to grow with the aging of its population. The current projections of cancer incidence and mortality for 2015 represent an important resource for planning and evaluation of cancer-control programs. As the estimates in this study are model-based, these results should be interpreted with caution.
NOTES
Conflict of interest relevant to this article was not reported.
Acknowledgements
This work was supported by a research grant from the National Cancer Center (No. 1310220), Republic of Korea.
Fig. 1.
The 10 leading types of estimated new cancer cases and deaths by sex in 2015. (A) Estimated new cases. (B) Estimated deaths.
Fig. 2.
Projected age-specific incidences of major cancers during 2015 in Korea. (A) Male. (B) Female.
Fig. 3.
Projected age-specific mortality rates of major cancers during 2015 in Korea. (A) Male. (B) Female.
Table 1.
Estimated new cancer cases and deaths by sex during 2015 in Korea
| site | Estimated new cases | Estimated deaths | ||||
|---|---|---|---|---|---|---|
| Both | Male | Female | Both | Male | Female | |
| All sites | 280,556 | 137,747 | 142,809 | 76,698 | 47,527 | 29,171 |
| Lip, oral cavity, and pharynx | 3,176 | 2,339 | 837 | 1,062 | 780 | 282 |
| Esophagus | 2,362 | 2,161 | 201 | 1,214 | 1,136 | 78 |
| Stomach | 35,053 | 23,917 | 11,136 | 7,516 | 4,806 | 2,710 |
| Colon and rectum | 38,038 | 23,493 | 14,545 | 9,018 | 5,209 | 3,809 |
| Liver | 17,310 | 12,744 | 4,566 | 10,812 | 7,996 | 2,816 |
| Gallbladdera) | 6,034 | 3,024 | 3,010 | 4,023 | 1,940 | 2,083 |
| Pancreas | 6,313 | 3,383 | 2,930 | 5,374 | 2,812 | 2,562 |
| Larynx | 1,049 | 1,019 | 30 | 365 | 359 | 6 |
| Lung | 25,640 | 17,673 | 7,967 | 17,559 | 12,736 | 4,823 |
| Breast | 19,540 | 75 | 19,465 | 2,385 | 18 | 2,367 |
| Cervix uteri | 3,100 | - | 3,100 | 761 | - | 761 |
| Corpus uteri | 2,429 | - | 2,429 | 288 | - | 288 |
| Ovary | 2,374 | - | 2,374 | 1,075 | - | 1,075 |
| Prostate | 14,828 | 14,828 | - | 1,840 | 1,840 | - |
| Testis | 248 | 248 | - | 19 | 19 | - |
| Kidney | 5,212 | 3,599 | 1,613 | 1,031 | 713 | 318 |
| Bladder | 4,245 | 3,419 | 826 | 1,390 | 1,061 | 329 |
| Brain and CNS | 1,891 | 1,016 | 875 | 1,127 | 596 | 531 |
| Thyroid | 65,829 | 11,338 | 54,491 | 384 | 116 | 268 |
| Hodgkin lymphoma | 298 | 192 | 106 | 62 | 42 | 20 |
| Non-Hodgkin lymphoma | 5,319 | 2,918 | 2,401 | 1,651 | 955 | 696 |
| Multiple myeloma | 1,490 | 806 | 684 | 911 | 497 | 414 |
| Leukemia | 3,141 | 1,770 | 1,371 | 1,767 | 1,025 | 742 |
| Other and ill-defined | 15,637 | 7,785 | 7,852 | 5,064 | 2,871 | 2,193 |
Table 2.
Estimated crude and age-standardized cancer incidences by sex during 2015 in Korea
| Site | Crude incidence rate per 100,000 | Age-standardized incidence rate per 100,000a) | ||||
|---|---|---|---|---|---|---|
| Both | Male | Female | Both | Male | Female | |
| All sites | 551.6 | 541.9 | 561.3 | 347.6 | 361.1 | 353.1 |
| Lip, oral cavity, and pharynx | 6.2 | 9.2 | 3.3 | 4.0 | 6.1 | 2.1 |
| Esophagus | 4.6 | 8.5 | 0.8 | 2.7 | 5.5 | 0.4 |
| Stomach | 68.9 | 94.1 | 43.8 | 41.3 | 61.3 | 24.3 |
| Colon and rectum | 74.8 | 92.4 | 57.2 | 44.7 | 60.7 | 31.0 |
| Liver | 34.0 | 50.1 | 17.9 | 20.4 | 32.6 | 9.5 |
| Gallbladderb) | 11.9 | 11.9 | 11.8 | 6.5 | 7.8 | 5.5 |
| Pancreas | 12.4 | 13.3 | 11.5 | 7.0 | 8.7 | 5.6 |
| Larynx | 2.1 | 4.0 | 0.1 | 1.2 | 2.6 | 0.1 |
| Lung | 50.4 | 69.5 | 31.3 | 28.2 | 44.7 | 15.8 |
| Breast | 38.4 | 0.3 | 76.5 | 25.4 | 0.2 | 50.5 |
| Cervix uteri | 6.1 | - | 12.2 | 4.0 | - | 7.8 |
| Corpus uteri | 4.8 | - | 9.5 | 3.1 | - | 6.2 |
| Ovary | 4.7 | - | 9.3 | 3.2 | - | 6.2 |
| Prostate | 29.2 | 58.3 | - | 16.9 | 38.1 | - |
| Testis | 0.5 | 1.0 | - | 0.5 | 1.0 | - |
| Kidney | 10.2 | 14.2 | 6.3 | 6.5 | 9.5 | 3.9 |
| Bladder | 8.3 | 13.5 | 3.2 | 4.6 | 8.7 | 1.5 |
| Brain and CNS | 3.7 | 4.0 | 3.4 | 3.0 | 3.4 | 2.6 |
| Thyroid | 129.4 | 44.6 | 214.2 | 90.4 | 31.2 | 150.4 |
| Hodgkin lymphoma | 0.6 | 0.8 | 0.4 | 0.5 | 0.7 | 0.4 |
| Non-Hodgkin lymphoma | 10.5 | 11.5 | 9.4 | 7.2 | 8.4 | 6.2 |
| Multiple myeloma | 2.9 | 3.2 | 2.7 | 1.7 | 2.1 | 1.5 |
| Leukemia | 6.2 | 7.0 | 5.4 | 5.3 | 6.2 | 4.4 |
| Other and ill-defined | 30.7 | 30.6 | 30.9 | 19.4 | 21.7 | 17.4 |
Table 3.
Estimated cancer incidence by age group and sex during 2015 in Korea
| Rank | Age group (yr) | |||
|---|---|---|---|---|
| 0-14 | 15-34 | 35-64 | ≥ 65 | |
| Male | ||||
| 1 | Leukemia | Thyroid | Stomach | Lung |
| (5.2) | (19.5) | (102.9) | (469.3) | |
| 2 | Brain and CNS | Colon and rectum | Colon and rectum | Stomach |
| (2.5) | (3.4) | (99.1) | (433.1) | |
| 3 | Non-Hodgkin lymphoma | Leukemia | Thyroid | Colon and rectum |
| (2.4) | (3.3) | (74.7) | (430.3) | |
| 4 | Kidney | Non-Hodgkin lymphoma | Liver | Prostate |
| (0.6) | (3.3) | (61.6) | (412.1) | |
| 5 | Liver | Stomach | Lung | Liver |
| (0.4) | (2.2) | (42.6) | (200.6) | |
| Female | ||||
| 1 | Leukemia | Thyroid | Thyroid | Colon and rectum |
| (4.1) | (96.9) | (372.0) | (215.0) | |
| 2 | Brain and CNS | Breast | Breast | Stomach |
| (1.9) | (11.9) | (137.0) | (155.4) | |
| 3 | Non-Hodgkin lymphoma | Cervix uteri | Colon and rectum | Lung |
| (1.5) | (5.4) | (54.4) | (136.5) | |
| 4 | Ovary | Stomach | Stomach | Thyroid |
| (0.9) | (3.7) | (43.8) | (132.4) | |
| 5 | Thyroid | Ovary | Lung | Liver |
| (0.8) | (3.0) | (24.3) | (77.4) |
Table 4.
Estimated crude and age-standardized cancer mortality rates by sex during 2015 in Korea
| Site | Crude mortality rate per 100,000 | Age-standardized mortality rate per 100,000a) | ||||
|---|---|---|---|---|---|---|
| Both | Male | Female | Both | Male | Female | |
| All sites | 150.8 | 187.0 | 114.6 | 82.4 | 121.7 | 54.5 |
| Lip, oral cavity, and pharynx | 2.1 | 3.1 | 1.1 | 1.2 | 2.0 | 0.6 |
| Esophagus | 2.4 | 4.5 | 0.3 | 1.3 | 2.8 | 0.1 |
| Stomach | 14.8 | 18.9 | 10.7 | 7.8 | 12.2 | 4.7 |
| Colon and rectum | 17.7 | 20.5 | 15.0 | 9.5 | 13.4 | 6.6 |
| Liver | 21.3 | 31.5 | 11.1 | 12.2 | 20.4 | 5.2 |
| Gallbladderb) | 7.9 | 7.6 | 8.2 | 4.0 | 4.9 | 3.4 |
| Pancreas | 10.6 | 11.1 | 10.1 | 5.7 | 7.2 | 4.5 |
| Larynx | 0.7 | 1.4 | 0.0 | 0.4 | 0.9 | 0.0 |
| Lung | 34.5 | 50.1 | 19.0 | 18.2 | 31.9 | 8.5 |
| Breast | 4.7 | 0.1 | 9.3 | 2.9 | 0.0 | 5.6 |
| Cervix uteri | 1.5 | - | 3.0 | 0.9 | - | 1.6 |
| Corpus uteri | 0.6 | - | 1.1 | 0.3 | - | 0.6 |
| Ovary | 2.1 | - | 4.2 | 1.2 | - | 2.3 |
| Prostate | 3.6 | 7.2 | - | 1.7 | 4.8 | - |
| Testis | 0.0 | 0.1 | - | 0.0 | 0.1 | - |
| Kidney | 2.0 | 2.8 | 1.2 | 1.1 | 1.8 | 0.6 |
| Bladder | 2.7 | 4.2 | 1.3 | 1.3 | 2.8 | 0.5 |
| Brain and CNS | 2.2 | 2.3 | 2.1 | 1.6 | 1.8 | 1.3 |
| Thyroid | 0.8 | 0.5 | 1.1 | 0.4 | 0.3 | 0.4 |
| Hodgkin lymphoma | 0.1 | 0.2 | 0.1 | 0.1 | 0.1 | 0.0 |
| Non-Hodgkin lymphoma | 3.2 | 3.8 | 2.7 | 1.8 | 2.5 | 1.3 |
| Multiple myeloma | 1.8 | 2.0 | 1.6 | 1.0 | 1.3 | 0.8 |
| Leukemia | 3.5 | 4.0 | 2.9 | 2.2 | 2.9 | 1.7 |
| Other and ill-defined | 10.0 | 11.3 | 8.6 | 5.5 | 7.5 | 4.1 |
REFERENCES
- 1. Statistics Korea [Internet] . Daejeon: Statistics Korea; 2014. [cited 2015 Jan 24]. Available from: http://kosis.kr
- 2. Jung KW, Won YJ, Kong HJ, Oh CM, Lee DH, Lee JS. Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2011. Cancer Res Treat. 2014;46:109–23. ArticlePubMedPMCPDF
- 3. Shin HR, Won YJ, Jung KW, Kong HJ, Yim SH, Lee JK, et al. Nationwide cancer incidence in Korea, 1999~2001; first result using the national cancer incidence database. Cancer Res Treat. 2005;37:325–31. ArticlePubMedPMCPDF
- 4. Fritz A, Percy C, Jack A, Shanmugaratnam K, Sobin L, Parkin DM, et al. International classification of diseases for oncology. 3rd ed. Geneva: World Health Organization; 2000.
- 5. World Health Organization. International statistical classification of diseases and related health problems. 10th rev. Geneva: World Health Organization; 1994.
- 6. Boyle P, Parkin DM. Cancer registration: principles and methods. Statistical methods for registries. IARC Sci Publ. 1991;(95):126–58. PubMed
- 7. National Cancer Institute. Joinpoint regression program, version 4.0 [Internet] . Bethesda, MD: National Cancer Institute; c2015. [cited 2015 Jan 8]. Available from: http://surveillance.cancer.gov/joinpoint/
- 8. Segi M. Cancer mortality for selected sites in 24 countries (1950-1957). Sendai: Tohoku University School of Medicine; 1960.
Figure & Data
REFERENCES
Citations
Citations to this article as recorded by 
- Utilization of a Joint Point Regression Model for Predicting Mortality Rates of Common Cancers in Babol City
Pouyan Ebrahimi, Sara Khaleghi, Mohebat Vali, Sahar Delavari, Soraya Khafri, Mohsen Karami, Layla Shojaie, Hossein‐Ali Nikbakht
Cancer Reports.2025;[Epub] CrossRef - Evaluation and forecasting methods to estimate number of patients with non-Hodgkin lymphoma: a systematic literature review
Dan Lin, Changxia Shao, James R. Rogers, Mehmet Burcu, Helmneh M. Sineshaw
Population Health Metrics.2025;[Epub] CrossRef - Association of polypharmacy with all‐cause mortality and adverse events among elderly colorectal cancer survivors
Dong‐Woo Choi, Hyejung Kang, Hyun‐Soo Zhang, Hoyol Jhang, Wonjeong Jeong, Sohee Park
Cancer.2023; 129(17): 2705. CrossRef - Guidelines for Evaluating Treatment Response Based on Bone Scan for Metastatic Castration-Resistant Prostate Cancer: Prostate Cancer Clinical Trial Working Group 3 Recommendations
Ji Sung Jang, Amy Junghyun Lee, Kye Jin Park, Kyung Won Kim, Hyo Jung Park
Journal of the Korean Society of Radiology.2023; 84(6): 1244. CrossRef - Hepatic steatosis changes after early gastric cancer surgery
Ki Hyun Kim, Soyoung Ock, Dohyung Lee, Yoonhong Kim, Jihoon Jo, Kyungwon Seo, Kiyoung Yoon, Sukyoung Kwon, Youngsik Choi, Bukyung Kim
Kosin Medical Journal.2022; 37(1): 68. CrossRef - A visualized dynamic prediction model for survival of patients with geriatric thyroid cancer: A population-based study
Ting-ting Zhang, Jing Zeng, Yan Yang, Jin-jing Wang, Yao-jie Kang, Dong-he Zhang, Xiao-zhu Liu, Kang Chen, Xuan Wang, Yi Fang
Frontiers in Endocrinology.2022;[Epub] CrossRef - Intensity- and domain-specific physical activity levels between cancer survivors and non-cancer diagnosis individuals: a propensity score matching analysis
Jeongmin Lee, Jihee Min, Dong Hoon Lee, Dong-Woo Kang, Justin Y. Jeon
Supportive Care in Cancer.2021; 29(2): 661. CrossRef - Elevated platelet lymphocyte ratio is a poor prognostic factor in advanced epithelial ovarian cancer
Seungjoo Chon, Seungho Lee, Dahoe Jeong, Soyi Lim, Kwangbeom Lee, Jinwoo Shin
Journal of Gynecology Obstetrics and Human Reproduction.2021; 50(6): 101849. CrossRef - PM2.5 disrupts thyroid hormone homeostasis through activation of the hypothalamic-pituitary-thyroid (HPT) axis and induction of hepatic transthyretin in female rats 2.5
Xinwen Dong, Weidong Wu, Sanqiao Yao, Haibin Li, Zhichun Li, Li Zhang, Jing Jiang, Jie Xu, Fengquan Zhang
Ecotoxicology and Environmental Safety.2021; 208: 111720. CrossRef - Targeted next-generation sequencing for locally advanced prostate cancer in the Korean population
Jungyo Suh, Chang Wook Jeong, Seongmin Choi, Ja Hyeon Ku, Hyeon Hoe Kim, Kwang Soo Kim, Cheol Kwak
Investigative and Clinical Urology.2020; 61(2): 127. CrossRef - Association between Five Common Plasminogen Activator Inhibitor-1 (PAI-1) Gene Polymorphisms and Colorectal Cancer Susceptibility
Jisu Oh, Hui Jeong An, Jung Oh Kim, Hak Hoon Jun, Woo Ram Kim, Eo Jin Kim, Doyeun Oh, Jong Woo Kim, Nam Keun Kim
International Journal of Molecular Sciences.2020; 21(12): 4334. CrossRef - Feasibility and safety of fertility-sparing surgery in epithelial ovarian cancer with dense adhesion: a long-term result from a single institution
Min-Hyun Baek, Jeong-Yeol Park, Dae-Yeon Kim, Dae-Shik Suh, Jong-Hyeok Kim, Yong-Man Kim, Young-Tak Kim
Journal of Gynecologic Oncology.2020;[Epub] CrossRef - The Economic Burden of Cancers Attributable to Infection in the Republic of Korea: A Prevalence-Based Study
Thi Xuan Trinh Nguyen, Minji Han, Moran Ki, Young Ae Kim, Jin-Kyoung Oh
International Journal of Environmental Research and Public Health.2020; 17(20): 7592. CrossRef - Long-Term Outcomes and Prognostic Factors of Endoscopic Submucosal Dissection for Early Gastric Cancer in Patients Aged ≥75 Years
Jin Won Chang, Da Hyun Jung, Jun Chul Park, Sung Kwan Shin, Sang Kil Lee, Yong Chan Lee
Cancers.2020; 12(11): 3222. CrossRef - Clinical outcomes and costs of robotic surgery in prostate cancer: a multiinstitutional study in Korea
Ji Eun Yun, Na Rae Lee, Cheol Kwak, Koon Ho Rha, Seong Il Seo, Sung-Hoo Hong, Young Goo Lee, Dong Ah Park, Choung Soo Kim, Seon Heui Lee
Prostate International.2019; 7(1): 19. CrossRef - The economic burden of cancers attributable to smoking in Korea, 2014
Thi Nguyen, Minji Han, Jin-Kyoung Oh
Tobacco Induced Diseases.2019;[Epub] CrossRef - Socioeconomic status and survival outcomes in elderly cancer patients: A national health insurance service‐elderly sample cohort study
Bum‐Sup Jang, Ji Hyun Chang
Cancer Medicine.2019; 8(7): 3604. CrossRef - Social Media Use for Cancer Education at a Community-Based Cancer Center in South Korea
Jaesung Heo, Mison Chun, Hyun Woo Lee, Jeong-Hee Woo
Journal of Cancer Education.2018; 33(4): 769. CrossRef - Prognostic value of positron emission tomography/computed tomography for adjuvant chemotherapy of colon cancer
HyungJoo Baik, Seok Mo Lee, Sang Hyuk Seo, Min Sung An, Kwang Hee Kim, Ki Beom Bae, Min Kyung Oh, Kwan Hee Hong
ANZ Journal of Surgery.2018; 88(6): 587. CrossRef - Associations of perceived risk and cancer worry for colorectal cancer with screening behaviour
Eunji Choi, Yoon Young Lee, Mina Suh, Boyoung Park, Jae Kwan Jun, Yeol Kim, Kui Son Choi
Journal of Health Psychology.2018; 23(6): 840. CrossRef - Significance of Ovarian Endometriosis on the Prognosis of Ovarian Clear Cell Carcinoma
Jeong-Yeol Park, Dae-Yeon Kim, Dae-Shik Suh, Jong-Hyeok Kim, Yong-Man Kim, Young-Tak Kim, Joo-Hyun Nam
International Journal of Gynecological Cancer.2018; 28(1): 11. CrossRef - Effectiveness of Gastric Cancer Screening on Gastric Cancer Incidence and Mortality in a Community-Based Prospective Cohort
Heewon Kim, Yunji Hwang, Hokyung Sung, Jieun Jang, Choonghyun Ahn, Sang Gyun Kim, Keun-Young Yoo, Sue K. Park
Cancer Research and Treatment.2018; 50(2): 582. CrossRef - Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2015
Kyu-Won Jung, Young-Joo Won, Hyun-Joo Kong, Eun Sook Lee
Cancer Research and Treatment.2018; 50(2): 303. CrossRef - Comparison of the PANArray HPV Genotyping Chip Test with the Cobas 4800 HPV and Hybrid Capture 2 Tests for Detection of HPV in ASCUS Women
Eun Young Ki, Yoon Kyung Lee, Ahwon Lee, Jong Sup Park
Yonsei Medical Journal.2018; 59(5): 662. CrossRef - Risk factors for cytological progression in HPV 16 infected women with ASC-US or LSIL: The Korean HPV cohort
Kyeong A So, Seon Ah Kim, Yoo Kyung Lee, In Ho Lee, Ki Heon Lee, Jee Eun Rhee, Mee Kyung Kee, Chi Heum Cho, Sung Ran Hong, Chang Sun Hwang, Mi Seon Jeong, Ki Tae Kim, Moran Ki, Soo Young Hur, Jong Sup Park, Tae Jin Kim
Obstetrics & Gynecology Science.2018; 61(6): 662. CrossRef - Single-stranded DNA binding protein 2 expression is associated with patient survival in hepatocellular carcinoma
Hyunsung Kim, Yeseul Kim, Yumin Chung, Rehman Abdul, Jongmin Sim, Hyein Ahn, Su-Jin Shin, Seung Sam Paik, Han Joon Kim, Kiseok Jang, Dongho Choi
BMC Cancer.2018;[Epub] CrossRef - Development of a Protein Biomarker Panel to Detect Non–Small-Cell Lung Cancer in Korea
Young Ju Jung, Evaldas Katilius, Rachel M. Ostroff, Youndong Kim, Minkyoung Seok, Sujin Lee, Seongsoo Jang, Woo Sung Kim, Chang-Min Choi
Clinical Lung Cancer.2017; 18(2): e99. CrossRef - Preoperative Predictive Factors for Complete Cytoreduction and Survival Outcome in Epithelial Ovarian, Tubal, and Peritoneal Cancer After Neoadjuvant Chemotherapy
Min-Hyun Baek, Shin-Wha Lee, Jeong-Yeol Park, Chae Chun Rhim, Dae-Yeon Kim, Dae-Shik Suh, Jong-Hyeok Kim, Yong-Man Kim, Young-Tak Kim, Joo-Hyun Nam
International Journal of Gynecological Cancer.2017; 27(3): 420. CrossRef - Capecitabine and cisplatin (XP) combination systemic chemotherapy in heavily pre-treated HER2 negative metastatic breast cancer
Jieun Lee, Hyun Ho Kim, Sang Mi Ro, Ji Hyun Yang, William B. Coleman
PLOS ONE.2017; 12(2): e0171605. CrossRef - Beyond precision surgery: Molecularly motivated precision care for gastric cancer
Y.Y. Choi, J.-H. Cheong
European Journal of Surgical Oncology (EJSO).2017; 43(5): 856. CrossRef - Variability in target delineation of cervical carcinoma: A Korean radiation oncology group study (KROG 15-06)
Ji Hyeon Joo, Young Seok Kim, Byung Chul Cho, Chi Young Jeong, Won Park, Hak Jae Kim, Won Sup Yoon, Mee Sun Yoon, Ji-Yoon Kim, Jin Hwa Choi, Youngmin Choi, Joo-Young Kim, Qinghui Zhang
PLOS ONE.2017; 12(3): e0173476. CrossRef - Tetraarsenic hexoxide induces G2/M arrest, apoptosis, and autophagy via PI3K/Akt suppression and p38 MAPK activation in SW620 human colon cancer cells
Arulkumar Nagappan, Won Sup Lee, Jeong Won Yun, Jing Nan Lu, Seong-Hwan Chang, Jae-Hoon Jeong, Gon Sup Kim, Jin-Myung Jung, Soon Chan Hong, Salvatore V. Pizzo
PLOS ONE.2017; 12(3): e0174591. CrossRef - Korean Treatment Guidelines for Metastatic Prostate Cancer Developed by the Korean Association for Clinical Oncology
Inkeun Park, Byung Woog Kang, Su-Jin Koh, Kyoung Ha Kim, Se Hyun Kim, Chan Kyu Kim, Ho Young Kim, Kwonoh Park, Se Hoon Park, Sung Yong Oh, Junglim Lee, Hyo Jin Lee, Seung Taek Lim, Jae-Cheol Jo, Jae Lyun Lee
The Korean Journal of Medicine.2017; 92(2): 124. CrossRef - Current Trends of Lung Cancer Surgery and Demographic and Social Factors Related to Changes in the Trends of Lung Cancer Surgery: An Analysis of the National Database from 2010 to 2014
Samina Park, In Kyu Park, Eung Re Kim, Yoohwa Hwang, Hyun Joo Lee, Chang Hyun Kang, Young Tae Kim
Cancer Research and Treatment.2017; 49(2): 330. CrossRef - Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2014
Kyu-Won Jung, Young-Joo Won, Chang-Mo Oh, Hyun-Joo Kong, Duk Hyoung Lee, Kang Hyun Lee
Cancer Research and Treatment.2017; 49(2): 292. CrossRef - Inhibitory Effect of D-chiro-inositol on Both Growth and Recurrence of Breast Tumor from MDA-MB-231 Cancer Cells
Yoon-seob Kim, Ji-sung Park, Minji Kim, Bang Yeon Hwang, Chong-kil Lee, Sukgil Song
Natural Product Sciences.2017; 23(1): 35. CrossRef - Validation of Nomograms for Survival and Metastases after Hysterectomy and Adjuvant Therapy in Uterine Cervical Cancer with Risk Factors
Won Sup Yoon, Dae Sik Yang, Jung Ae Lee, Nam Kwon Lee, Young Je Park, Chul Yong Kim, Nak Woo Lee, Jin Hwa Hong, Jae Kwan Lee, Jae Yun Song
BioMed Research International.2017; 2017: 1. CrossRef - Clinical features of recently diagnosed papillary thyroid carcinoma in elderly patients aged 65 and older based on 10 years of sonographic experience at a single institution in Korea
Eun Sil Kim, Younghen Lee, Hyungsuk Seo, Gil Soo Son, Soon Young Kwon, Young-Sik Kim, Ji-A Seo, Nan Hee Kim, Sang-il Suh, Inseon Ryoo, Sung-Hye You
Ultrasonography.2017; 36(4): 355. CrossRef - The Value of Preoperative Positron Emission Tomography/Computed Tomography in Node-Negative Endometrial Cancer on Magnetic Resonance Imaging
Jeong-Yeol Park, Jong Jin Lee, Hyuck Jae Choi, In Hye Song, Chang Ohk Sung, Hye Ok Kim, Sun-Young Chae, Young-Tak Kim, Joo-Hyun Nam
Annals of Surgical Oncology.2017; 24(8): 2303. CrossRef - The prognostic significance of KRAS and BRAF mutation status in Korean colorectal cancer patients
Daeyoun David Won, Jae Im Lee, In Kyu Lee, Seong-Taek Oh, Eun Sun Jung, Sung Hak Lee
BMC Cancer.2017;[Epub] CrossRef - Atypical squamous cells of undetermined significance and low-grade squamous intraepithelial lesion triage in Korean women: Revisiting the 2012 American Society of Colposcopy and Cervical Pathology screening guidelines
Ji Yeon Hyun, Kyung-Jin Min, Sun Young Yang, Jae-Kwan Lee, Jin Hwa Hong
Obstetrics & Gynecology Science.2017; 60(4): 357. CrossRef - Postoperative Helicobacter pylori Infection as a Prognostic Factor for Gastric Cancer Patients after Curative Resection
Da Hyun Jung, Yong Chan Lee, Jie-Hyun Kim, Hyunsoo Chung, Jun Chul Park, Sung Kwan Shin, Sang Kil Lee, Hyoung-il Kim, Woo Jin Hyung, Sung Hoon Noh
Gut and Liver.2017; 11(5): 635. CrossRef - Uptake of risk-reducing salpingo-oophorectomy among female BRCA mutation carriers: experience at the National Cancer Center of Korea
Se Ik Kim, Myong Cheol Lim, Dong Ock Lee, Sun-Young Kong, Sang-Soo Seo, Sokbom Kang, Eun Sook Lee, Sang-Yoon Park
Journal of Cancer Research and Clinical Oncology.2016; 142(1): 333. CrossRef - Aberrant Epigenetic Modifications of LPHN2 Function as a Potential Cisplatin-Specific Biomarker for Human Gastrointestinal Cancer
Mi-Seong Jeon, Sang-Hyun Song, Jiyeon Yun, Jee-Youn Kang, Hwang-Phill Kim, Sae-Won Han, Tae-You Kim
Cancer Research and Treatment.2016; 48(2): 676. CrossRef - Change in PD-L1 Expression After Acquiring Resistance to Gefitinib in EGFR-Mutant Non–Small-Cell Lung Cancer
Jae Joon Han, Dong-Wan Kim, Jaemoon Koh, Bhumsuk Keam, Tae Min Kim, Yoon Kyung Jeon, Se-Hoon Lee, Doo Hyun Chung, Dae Seog Heo
Clinical Lung Cancer.2016; 17(4): 263. CrossRef - Incidence of epithelial ovarian cancer according to histologic subtypes in Korea, 1999 to 2012
Se Ik Kim, Myong Cheol Lim, Jiwon Lim, Young-Joo Won, Sang-Soo Seo, Sokbom Kang, Sang-Yoon Park
Journal of Gynecologic Oncology.2016;[Epub] CrossRef - Extremity soft tissue sarcoma with multiple primary malignancies – Characteristics and outcome
C.L.L. Lopez-Oliva, J.Y. Yun, H.-S. Kim, I. Han
European Journal of Surgical Oncology (EJSO).2016;[Epub] CrossRef - Value of urinary topoisomerase-IIA cell-free DNA for diagnosis of bladder cancer
Ye-Hwan Kim, Chunri Yan, Il-Seok Lee, Xuan-Mei Piao, Young Joon Byun, Pildu Jeong, Won Tae Kim, Seok-Joong Yun, Wun-Jae Kim
Investigative and Clinical Urology.2016; 57(2): 106. CrossRef - Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2013
Chang-Mo Oh, Young-Joo Won, Kyu-Won Jung, Hyun-Joo Kong, Hyunsoon Cho, Jong-Keun Lee, Duk Hyoung Lee, Kang Hyun Lee
Cancer Research and Treatment.2016; 48(2): 436. CrossRef - Dehydroglyasperin D Inhibits the Proliferation of HT-29 Human Colorectal Cancer Cells Through Direct Interaction With Phosphatidylinositol 3-kinase
Sung Keun Jung, Chul-Ho Jeong
Journal of Cancer Prevention.2016; 21(1): 26. CrossRef - Association of Metformin Use With Cancer-Specific Mortality in Hepatocellular Carcinoma After Curative Resection
Young-Seok Seo, Yun-Jung Kim, Mi-Sook Kim, Kyung-Suk Suh, Sang Bum Kim, Chul Ju Han, Youn Joo Kim, Won Il Jang, Shin Hee Kang, Ha Jin Tchoe, Chan Mi Park, Ae Jung Jo, Hyo Jeong Kim, Jin A Choi, Hyung Jin Choi, Michael N. Polak, Min Jung Ko
Medicine.2016; 95(17): e3527. CrossRef - Cancer Mortality Projections in Korea up to 2032
Mia Son, Jae-Won Yun
Journal of Korean Medical Science.2016; 31(6): 892. CrossRef - Comparison of Quality of Life and Sexuality between Cervical Cancer Survivors and Healthy Women
Yumi Lee, Myong Cheol Lim, Se Ik Kim, Jungnam Joo, Dong Ock Lee, Sang-Yoon Park
Cancer Research and Treatment.2016; 48(4): 1321. CrossRef - The Impact of High-Risk HPV Genotypes Other Than HPV 16/18 on the Natural Course of Abnormal Cervical Cytology: A Korean HPV Cohort Study
Kyeong A So, Mi Jung Kim, Ki-Heon Lee, In-Ho Lee, Mi Kyung Kim, Yoo Kyung Lee, Chang-Sun Hwang, Mi Seon Jeong, Mee-Kyung Kee, Chun Kang, Chi Heum Cho, Seok Mo Kim, Sung Ran Hong, Ki Tae Kim, Won-Chul Lee, Jong Sup Park, Tae Jin Kim
Cancer Research and Treatment.2016; 48(4): 1313. CrossRef - Changes in the types of liver diseases requiring hepatic resection: a single-institution experience of 9016 cases over a 10-year period
Hwui-Dong Cho, Shin Hwang, Young-Joo Lee, Kwang-Min Park, Ki-Hun Kim, Jin Cheon Kim, Chul-Soo Ahn, Deok-Bog Moon, Tae-Yong Ha, Sung-Gyu Lee
Korean Journal of Hepato-Biliary-Pancreatic Surgery.2016; 20(2): 49. CrossRef - Association between nutrient intake and thyroid cancer risk in Korean women
Young Ae Cho, Jeonghee Lee, Jeongseon Kim
Nutrition Research and Practice.2016; 10(3): 336. CrossRef - Efficacy and safety of acupuncture for chemotherapy-induced leucopoenia: protocol for a systematic review
Jiayun Nian, Xu Sun, Jiao Guo, Chen Yan, Xiaomin Wang, Guowang Yang, Lin Yang, Mingwei Yu, Ganlin Zhang
BMJ Open.2016; 6(5): e010787. CrossRef - Neoadjuvant chemotherapy followed by surgery has no therapeutic advantages over concurrent chemoradiotherapy in International Federation of Gynecology and Obstetrics stage IB-IIB cervical cancer
Jeongshim Lee, Tae Hyung Kim, Gwi Eon Kim, Ki Chang Keum, Yong Bae Kim
Journal of Gynecologic Oncology.2016;[Epub] CrossRef - Analysis of maxillofacial prosthetics at university dental hospitals in the capital region of Korea
Jee-Hwan Kim, Soo-Yeon Shin, Janghyun Paek, Jong-Ho Lee, Ho-Beom Kwon
The Journal of Advanced Prosthodontics.2016; 8(3): 229. CrossRef - Forecasting Cause-Specific Mortality in Korea up to Year 2032
Jae-Won Yun, Mia Son
Journal of Korean Medical Science.2016; 31(8): 1181. CrossRef - Pathophysiology and preventive strategies of anthracycline-induced cardiotoxicity
Woo-Baek Chung, Ho-Joong Youn
The Korean Journal of Internal Medicine.2016; 31(4): 625. CrossRef - The Role of Laparoscopic Radical Hysterectomy in Early-Stage Adenocarcinoma of the Uterine Cervix
Jeong-Yeol Park, Daeyeon Kim, Dae-Shik Suh, Jong-Hyeok Kim, Yong-Man Kim, Young-Tak Kim, Joo-Hyun Nam
Annals of Surgical Oncology.2016; 23(S5): 825. CrossRef - High resolution metabolomics to discriminate compounds in serum of male lung cancer patients in South Korea
Aryo D. Pamungkas, Changyoung Park, Sungyong Lee, Sun Ha Jee, Youngja H. Park
Respiratory Research.2016;[Epub] CrossRef - Application of Data Mining for Biomedical Data Processing
Ho-Sun Shon, Kyoung-Ok Kim, Eun-Jong Cha, Kyung-Ah Kim
The Transactions of The Korean Institute of Electrical Engineers.2016; 65(7): 1236. CrossRef - A pilot study of concurrent chemoradiotherapy with gemcitabine and cisplatin in patients with locally advanced biliary tract cancer
Kyong Joo Lee, Seung Woo Yi, Jihye Cha, Jinsil Seong, Seungmin Bang, Si Young Song, Hee Man Kim, Seung Woo Park
Cancer Chemotherapy and Pharmacology.2016; 78(4): 841. CrossRef - Clinical characteristics of young-age onset gastric cancer in Korea
Jieun Lee, Myung Ah Lee, In-Ho Kim, Sang-Young Roh
BMC Gastroenterology.2016;[Epub] CrossRef - Progranulin as a predictive factor of response to chemotherapy in advanced biliary tract carcinoma
Jong-Ho Kim, In-Gu Do, Kyungeun Kim, Jin Hee Sohn, Hong Joo Kim, Woo Kyu Jeon, Sung Ryol Lee, Byung Ho Son, Jun Ho Shin, Heerim Nam, Heon-Ju Kwon, Mi Sung Kim, Hyun Pyo Hong, Ginette Serrero, Dong-Hoe Koo
Cancer Chemotherapy and Pharmacology.2016; 78(5): 1085. CrossRef - A Lymph Node Staging System for Gastric Cancer: A Hybrid Type Based on Topographic and Numeric Systems
Yoon Young Choi, Ji Yeong An, Hitoshi Katai, Yasuyuki Seto, Takeo Fukagawa, Yasuhiro Okumura, Dong Wook Kim, Hyoung-Il Kim, Jae-Ho Cheong, Woo Jin Hyung, Sung Hoon Noh, Anthony W.I. Lo
PLOS ONE.2016; 11(3): e0149555. CrossRef - Postoperative Quality of Life after Total Gastrectomy Compared with Partial Gastrectomy: Longitudinal Evaluation by European Organization for Research and Treatment of Cancer-OG25 and STO22
Jeong-Hwan Lee, Hyuk-Joon Lee, Yun Suk Choi, Tae Han Kim, Yeon-Ju Huh, Yun-Suhk Suh, Seong-Ho Kong, Han-Kwang Yang
Journal of Gastric Cancer.2016; 16(4): 230. CrossRef - Acute High-Dose and Chronic Lifetime Exposure to Alcohol Consumption and Differentiated Thyroid Cancer: T-CALOS Korea
Yunji Hwang, Kyu Eun Lee, Elisabete Weiderpass, Young Joo Park, Young Jun Chai, Hyungju Kwon, Do Joon Park, BeLong Cho, Ho-Chun Choi, Daehee Kang, Sue K. Park, Li Wang
PLOS ONE.2016; 11(3): e0151562. CrossRef - Effect of dietary vitamin C on gastric cancer risk in the Korean population
Bach Viet Hoang, Jeonghee Lee, Il Ju Choi, Young-Woo Kim, Keun Won Ryu, Jeongseon Kim
World Journal of Gastroenterology.2016; 22(27): 6257. CrossRef - The association of physical activity and colorectal and breast cancer: The Fifth Korea National Health and Nutrition Examination Survey (2008–2011)
Suh-Jung Kang
Journal of Exercise Rehabilitation.2015; 11(3): 155. CrossRef - Evolution of Gastric Cancer Treatment: From the Golden Age of Surgery to an Era of Precision Medicine
Yoon Young Choi, Sung Hoon Noh, Jae-Ho Cheong
Yonsei Medical Journal.2015; 56(5): 1177. CrossRef - Risk Factors and Efficacy of Adjuvant Therapy After Surgery of Elderly Colon Cancer Patients 70 Years of Age or Older
Song Ee Park, Joo Young Ha, Sung Jae Cha, Jung Soon Jang, In Gyu Hwang
Journal of the Korean Geriatrics Society.2015; 19(3): 165. CrossRef - Effects of Total Thyroidectomy and Radioactive Iodine Therapy for Thyroid Cancer Patients on Sleep Apnea and Snoring
Seung-Hyun Oh, Cheol-Seung Kim, Mal-Rye Choi, Eun-Hae Choi, Hyeong-Wook Kim, Joo-Hee Hahn, Tae-Hyung Kim, Byung-Jo Kim, Young-Sahm Park, Hun-Jeong Eun
Journal of Korean Neuropsychiatric Association.2015; 54(4): 495. CrossRef - Novel dihydrobenzofuro[4,5-b][1,8]naphthyridin-6-one derivative, MHY-449, induces cell cycle arrest and apoptosis via the downregulation of Akt in human lung cancer cells
HYUN SOOK LIM, YONG JUNG KANG, BOKYUNG SUNG, SEON HEE KIM, MIN JEONG KIM, HYE RIM KIM, SEONG JIN KIM, YUNG HYUN CHOI, HYUNG RYONG MOON, HAE YOUNG CHUNG, NAM DEUK KIM
Oncology Reports.2015; 34(5): 2431. CrossRef
Prediction of Cancer Incidence and Mortality in Korea, 2015
Fig. 1. The 10 leading types of estimated new cancer cases and deaths by sex in 2015. (A) Estimated new cases. (B) Estimated deaths.
Fig. 2. Projected age-specific incidences of major cancers during 2015 in Korea. (A) Male. (B) Female.
Fig. 3. Projected age-specific mortality rates of major cancers during 2015 in Korea. (A) Male. (B) Female.
### Fig. 1.
### Fig. 2.
### Fig. 3.
Prediction of Cancer Incidence and Mortality in Korea, 2015
| site | Estimated new cases | Estimated deaths | | | | | | ----------------------------- | ------------------- | ---------------- | ------- | ------ | ------ | ------ | | Both | Male | Female | Both | Male | Female | | | All sites | 280,556 | 137,747 | 142,809 | 76,698 | 47,527 | 29,171 | | Lip, oral cavity, and pharynx | 3,176 | 2,339 | 837 | 1,062 | 780 | 282 | | Esophagus | 2,362 | 2,161 | 201 | 1,214 | 1,136 | 78 | | Stomach | 35,053 | 23,917 | 11,136 | 7,516 | 4,806 | 2,710 | | Colon and rectum | 38,038 | 23,493 | 14,545 | 9,018 | 5,209 | 3,809 | | Liver | 17,310 | 12,744 | 4,566 | 10,812 | 7,996 | 2,816 | | Gallbladdera) | 6,034 | 3,024 | 3,010 | 4,023 | 1,940 | 2,083 | | Pancreas | 6,313 | 3,383 | 2,930 | 5,374 | 2,812 | 2,562 | | Larynx | 1,049 | 1,019 | 30 | 365 | 359 | 6 | | Lung | 25,640 | 17,673 | 7,967 | 17,559 | 12,736 | 4,823 | | Breast | 19,540 | 75 | 19,465 | 2,385 | 18 | 2,367 | | Cervix uteri | 3,100 | - | 3,100 | 761 | - | 761 | | Corpus uteri | 2,429 | - | 2,429 | 288 | - | 288 | | Ovary | 2,374 | - | 2,374 | 1,075 | - | 1,075 | | Prostate | 14,828 | 14,828 | - | 1,840 | 1,840 | - | | Testis | 248 | 248 | - | 19 | 19 | - | | Kidney | 5,212 | 3,599 | 1,613 | 1,031 | 713 | 318 | | Bladder | 4,245 | 3,419 | 826 | 1,390 | 1,061 | 329 | | Brain and CNS | 1,891 | 1,016 | 875 | 1,127 | 596 | 531 | | Thyroid | 65,829 | 11,338 | 54,491 | 384 | 116 | 268 | | Hodgkin lymphoma | 298 | 192 | 106 | 62 | 42 | 20 | | Non-Hodgkin lymphoma | 5,319 | 2,918 | 2,401 | 1,651 | 955 | 696 | | Multiple myeloma | 1,490 | 806 | 684 | 911 | 497 | 414 | | Leukemia | 3,141 | 1,770 | 1,371 | 1,767 | 1,025 | 742 | | Other and ill-defined | 15,637 | 7,785 | 7,852 | 5,064 | 2,871 | 2,193 |
| Site | Crude incidence rate per 100,000 | Age-standardized incidence rate per 100,000a) | | | | | | ----------------------------- | -------------------------------- | --------------------------------------------- | ----- | ----- | ------ | ----- | | Both | Male | Female | Both | Male | Female | | | All sites | 551.6 | 541.9 | 561.3 | 347.6 | 361.1 | 353.1 | | Lip, oral cavity, and pharynx | 6.2 | 9.2 | 3.3 | 4.0 | 6.1 | 2.1 | | Esophagus | 4.6 | 8.5 | 0.8 | 2.7 | 5.5 | 0.4 | | Stomach | 68.9 | 94.1 | 43.8 | 41.3 | 61.3 | 24.3 | | Colon and rectum | 74.8 | 92.4 | 57.2 | 44.7 | 60.7 | 31.0 | | Liver | 34.0 | 50.1 | 17.9 | 20.4 | 32.6 | 9.5 | | Gallbladderb) | 11.9 | 11.9 | 11.8 | 6.5 | 7.8 | 5.5 | | Pancreas | 12.4 | 13.3 | 11.5 | 7.0 | 8.7 | 5.6 | | Larynx | 2.1 | 4.0 | 0.1 | 1.2 | 2.6 | 0.1 | | Lung | 50.4 | 69.5 | 31.3 | 28.2 | 44.7 | 15.8 | | Breast | 38.4 | 0.3 | 76.5 | 25.4 | 0.2 | 50.5 | | Cervix uteri | 6.1 | - | 12.2 | 4.0 | - | 7.8 | | Corpus uteri | 4.8 | - | 9.5 | 3.1 | - | 6.2 | | Ovary | 4.7 | - | 9.3 | 3.2 | - | 6.2 | | Prostate | 29.2 | 58.3 | - | 16.9 | 38.1 | - | | Testis | 0.5 | 1.0 | - | 0.5 | 1.0 | - | | Kidney | 10.2 | 14.2 | 6.3 | 6.5 | 9.5 | 3.9 | | Bladder | 8.3 | 13.5 | 3.2 | 4.6 | 8.7 | 1.5 | | Brain and CNS | 3.7 | 4.0 | 3.4 | 3.0 | 3.4 | 2.6 | | Thyroid | 129.4 | 44.6 | 214.2 | 90.4 | 31.2 | 150.4 | | Hodgkin lymphoma | 0.6 | 0.8 | 0.4 | 0.5 | 0.7 | 0.4 | | Non-Hodgkin lymphoma | 10.5 | 11.5 | 9.4 | 7.2 | 8.4 | 6.2 | | Multiple myeloma | 2.9 | 3.2 | 2.7 | 1.7 | 2.1 | 1.5 | | Leukemia | 6.2 | 7.0 | 5.4 | 5.3 | 6.2 | 4.4 | | Other and ill-defined | 30.7 | 30.6 | 30.9 | 19.4 | 21.7 | 17.4 |
| Rank | Age group (yr) | | | | | ------ | -------------------- | -------------------- | ---------------- | ---------------- | | 0-14 | 15-34 | 35-64 | ≥ 65 | | | Male | | | | | | 1 | Leukemia | Thyroid | Stomach | Lung | | (5.2) | (19.5) | (102.9) | (469.3) | | | 2 | Brain and CNS | Colon and rectum | Colon and rectum | Stomach | | (2.5) | (3.4) | (99.1) | (433.1) | | | 3 | Non-Hodgkin lymphoma | Leukemia | Thyroid | Colon and rectum | | (2.4) | (3.3) | (74.7) | (430.3) | | | 4 | Kidney | Non-Hodgkin lymphoma | Liver | Prostate | | (0.6) | (3.3) | (61.6) | (412.1) | | | 5 | Liver | Stomach | Lung | Liver | | (0.4) | (2.2) | (42.6) | (200.6) | | | Female | | | | | | 1 | Leukemia | Thyroid | Thyroid | Colon and rectum | | (4.1) | (96.9) | (372.0) | (215.0) | | | 2 | Brain and CNS | Breast | Breast | Stomach | | (1.9) | (11.9) | (137.0) | (155.4) | | | 3 | Non-Hodgkin lymphoma | Cervix uteri | Colon and rectum | Lung | | (1.5) | (5.4) | (54.4) | (136.5) | | | 4 | Ovary | Stomach | Stomach | Thyroid | | (0.9) | (3.7) | (43.8) | (132.4) | | | 5 | Thyroid | Ovary | Lung | Liver | | (0.8) | (3.0) | (24.3) | (77.4) | |
| Site | Crude mortality rate per 100,000 | Age-standardized mortality rate per 100,000a) | | | | | | ----------------------------- | -------------------------------- | --------------------------------------------- | ----- | ---- | ------ | ---- | | Both | Male | Female | Both | Male | Female | | | All sites | 150.8 | 187.0 | 114.6 | 82.4 | 121.7 | 54.5 | | Lip, oral cavity, and pharynx | 2.1 | 3.1 | 1.1 | 1.2 | 2.0 | 0.6 | | Esophagus | 2.4 | 4.5 | 0.3 | 1.3 | 2.8 | 0.1 | | Stomach | 14.8 | 18.9 | 10.7 | 7.8 | 12.2 | 4.7 | | Colon and rectum | 17.7 | 20.5 | 15.0 | 9.5 | 13.4 | 6.6 | | Liver | 21.3 | 31.5 | 11.1 | 12.2 | 20.4 | 5.2 | | Gallbladderb) | 7.9 | 7.6 | 8.2 | 4.0 | 4.9 | 3.4 | | Pancreas | 10.6 | 11.1 | 10.1 | 5.7 | 7.2 | 4.5 | | Larynx | 0.7 | 1.4 | 0.0 | 0.4 | 0.9 | 0.0 | | Lung | 34.5 | 50.1 | 19.0 | 18.2 | 31.9 | 8.5 | | Breast | 4.7 | 0.1 | 9.3 | 2.9 | 0.0 | 5.6 | | Cervix uteri | 1.5 | - | 3.0 | 0.9 | - | 1.6 | | Corpus uteri | 0.6 | - | 1.1 | 0.3 | - | 0.6 | | Ovary | 2.1 | - | 4.2 | 1.2 | - | 2.3 | | Prostate | 3.6 | 7.2 | - | 1.7 | 4.8 | - | | Testis | 0.0 | 0.1 | - | 0.0 | 0.1 | - | | Kidney | 2.0 | 2.8 | 1.2 | 1.1 | 1.8 | 0.6 | | Bladder | 2.7 | 4.2 | 1.3 | 1.3 | 2.8 | 0.5 | | Brain and CNS | 2.2 | 2.3 | 2.1 | 1.6 | 1.8 | 1.3 | | Thyroid | 0.8 | 0.5 | 1.1 | 0.4 | 0.3 | 0.4 | | Hodgkin lymphoma | 0.1 | 0.2 | 0.1 | 0.1 | 0.1 | 0.0 | | Non-Hodgkin lymphoma | 3.2 | 3.8 | 2.7 | 1.8 | 2.5 | 1.3 | | Multiple myeloma | 1.8 | 2.0 | 1.6 | 1.0 | 1.3 | 0.8 | | Leukemia | 3.5 | 4.0 | 2.9 | 2.2 | 2.9 | 1.7 | | Other and ill-defined | 10.0 | 11.3 | 8.6 | 5.5 | 7.5 | 4.1 |
Table 1. Estimated new cancer cases and deaths by sex during 2015 in Korea
CNS, central nervous system.
a)
Includes the gallbladder and other/unspecified parts of the biliary tract.
Table 2. Estimated crude and age-standardized cancer incidences by sex during 2015 in Korea
CNS, central nervous system.
a)
Age adjusted to the world standard population,
b)
Includes the gallbladder and other/unspecified parts of the biliary tract.
Table 3. Estimated cancer incidence by age group and sex during 2015 in Korea
CNS, central nervous system.
Table 4. Estimated crude and age-standardized cancer mortality rates by sex during 2015 in Korea
CNS, central nervous system.
a)
Age adjusted to the world standard population,
a)
Includes the gallbladder and other/unspecified parts of the biliary tract.
### Table 1.
### Table 2.
### Table 3.
### Table 4.