Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2018 (original) (raw)
Abstract
- Purpose
The current study provides national cancer statistics and their secular trends in Korea, including incidence, mortality, survival, and prevalence in 2018. - Materials and Methods
Incidence, survival, and prevalence rates of cancer were calculated using the Korea National Cancer Incidence Database, from 1999 to 2018, with survival follow-up until December 31, 2019. Deaths from cancer were assessed using causes-of-death data obtained from Statistics Korea. Crude and age-standardized rates (ASRs) for incidence, mortality, prevalence, and 5-year relative survival rates were calculated, and temporal trends for incidence and mortality rates were evaluated, with annual percentage changes. - Results
In 2018, newly diagnosed cancer cases and deaths from cancer were reported as 243,837 (ASR, 270.4 per 100,000) and 79,153 (ASR, 73.3 per 100,000), respectively. The overall cancer incidence rates increased by 3.3% annually from 1999 to 2012, and decreased by 5.4% annually from 2012 to 2015, thereafter, followed by nonsignificant changes. Cancer mortality rates have been decreasing since 2002, with more rapid decline in recent years (annual decrease of 2.7% from 2007 to 2014; 3.7% from 2014 to 2018). The 5-year relative survival between 2014 and 2018 was 70.3%, which contributed to prevalent cases reaching over 2 million by the end of 2018. - Conclusion
Cancer statistics have improved significantly during the past two decades. However, there remain important challenges to be solved, such as controlling cancers with low survival rates. Cancer statistics can be used to discover blind spots in cancer control, and as evidence for developing and implementing future cancer control strategies. - Key words: Neoplasms, Incidence, Mortality, Survival, Prevalence, Korea
Introduction
It is estimated that cancer affects one in five men or women, and causes one in six deaths worldwide, according to the recent reports on global cancer statistics [1,2]. To address the overwhelming disease burden of cancer, collecting data and producing cancer statistics are the initial and fundamental steps indispensable to each nation’s cancer control plan. In this regard, Korea has been compiling the national cancer registry data and publishing its statistics for more than 20 years. The current study reports the most recent nationwide statistics on cancer incidence, survival, prevalence, and mortality, and their temporal trends.
Materials and Methods
1. Data sources
Annual cancer statistics in Korea are calculated using a national and population-based database of cancer occurrence, the Korea National Cancer Incidence Database (KNCI DB). Every year, the Korea Central Cancer Registry (KCCR) collects information on patients diagnosed with cancer, in any hospital across the country during the past year, and backs up the data from the year before the last, with data compiled by central and 11 regional cancer registries that also include information regarding missing cancer patients. Hence, it takes two years to complete and calculate the year’s KNCI DB and cancer statistics. The KCCR has reported such nationwide statistics from 1999 onward; other detailed information on the KCCR and KNCI DB is provided elsewhere [3]. Completeness is an important indicator of data quality, and the 2018 KNCI DB was estimated to be 98.2% complete using the method proposed by Ajiki et al. [4].
Annual mid-year population data and recently updated mortality data including causes of death from 1983 were obtained from Statistics Korea [5]. To confirm the validity of individual vital statuses used in survival and prevalence calculation, the KNCI DB was linked to both mortality and population resident registration data, which were obtained from the Ministry of the Interior and Safety.
2. Cancer classification
All cancer cases had been registered in accordance with the International Classification of Diseases for Oncology, 3rd edition (ICD-O-3) [6]. The range of cancers to be registered and used for the national statistics calculation was limited to records with a behavior code of “/2 (carcinoma in situ)” or “/3 (malignant),” from the morphology (i.e., histology) codes of ICD-O-3, by which a patient was initially enrolled in the KNCI DB. Similar to previous reports, malignant cancer cases and their statistics were mainly assessed in this article. In addition, the supplementary incidence statistics for carcinoma in situ cases were also calculated separately, using 2018 KNCI DB.
For the convenience of classification and reporting, the ICD-O-3 codes were converted to the classification of the International Classification of Diseases, 10th edition (ICD-10) [7]. Exceptionally, some hematopoietic diseases (myeloproliferative disorders/myelodysplastic syndromes) are not classified as malignant cancer in ICD-10 classification, therefore their ICD-O-3 codes were used without any conversion. For mortality data, causes of death were coded according to the ICD-10.
We adopted cancer classifications with 24 and 61 types; the former was a modified classification based on the GLOBOCAN cancer dictionary [8], and the latter was the taxonomy used in “_Cancer Incidence in Five Continents_” [9], and both of them were provided by the International Association of Cancer Registries. In this article, cancer classification with 24 types of cancer was used for description. The summary staging system developed under the Surveillance, Epidemiology, and End Results (SEER) program (i.e., SEER summary staging) [10] was used to categorize the extent of tumor invasion or metastasis.
3. Statistical analyses
Incidence, mortality, and prevalence rates were expressed as crude rates (CRs) or age-standardized rates (ASRs) per 100,000 people. The CR was defined as the total number of newly diagnosed (for incidence) or deceased (for mortality) cases in a year divided by the mid-year population. The ASR was defined as the weighted average of the age-specific rates in which the weights represent the proportions of people in the corresponding age groups in a standard population [11]. ASRs were standardized using Segi’s world standard population [12]. The cumulative risk of developing cancer from birth to life expectancy during 2018 in Korea were also assessed, assuming no other cause of death (i.e., by simply calculating the sum of the age-specific cancer rates from birth to life expectancy), as follows [11]:
Cumulative risk of developing cancer from birth to like expectancy=100×(1-e-cumulative rate100)
Trends in ASRs were estimated using Joinpoint regression [13], with a maximum number of two joinpoints. The results were summarized as annual percentage changes with the best model fit, based on a linear model for the natural log-transformed ASRs.
The survival rate of cancer patients, diagnosed between 1993 and 2018, was calculated based on the results of follow-up until December 31, 2019. The 5-year relative survival rate was defined as the ratio of observed survival of cancer patients to expected survival in the general population, adjusting the effects of other causes of death using the standard population life table provided by Statistics Korea [5]. Relative survival rates were estimated using the Ederer II method [14] with some minor corrections, based on an algorithm devised by Paul Dickman [15]. Trends in 5-year relative survival rates were evaluated as percent differences in survival rates between 1993–1995 and 2014–2018.
Prevalent cases were defined as the number of cancer patients alive on January 1, 2019 among all the patients diagnosed with cancer between 1999 and 2018. Limited-duration prevalence was calculated using SEER*Stat 8.3.8 software (National Cancer Institute, Bethesda, MD). p < 0.05 was considered statistically significant. SEER*Stat, Joinpoint 4.8.0 (National Cancer Institute), and SAS ver. 9.4 (SAS Institute, Cary, NC) were used for statistical analyses.
Results
1. Incidence
In 2018, a total of 243,837 people were newly diagnosed with cancer in Korea, of which 52.8% (128,757 cases) were men and 47.2% (115,080 cases) were women (Table 1). Five most diagnosed cancers in Korea were stomach, thyroid, lung, colorectal, and breast cancers; in men, stomach and lung cancers were followed by colorectal, prostate, and liver cancers, whereas breast and thyroid cancers were followed by colorectal, stomach, and lung cancers in women. These top five cancers in each sex accounted for 64.2% and 65.4% of all cancer cases in men and women, respectively. Table 2 provides the CRs and ASRs of cancer incidence in 2018. The CR and ASR of all cancer incidence were 475.3 per 100,000 (502.9 for men and 447.8 for women) and 270.4 per 100,000 (295.2 for men and 259.4 for women), respectively. Such differences between CR and ASR, revealed in values and their relative ranks, imply that majority of cancer patients in Korea belong to the old age group (because the world’s standard population consists of a higher proportion of young people) and there are differences in the age composition of patients according to the site of cancer. The overall lifetime probability of being diagnosed with any cancer was 37.4%, under the condition that one survives to the age that matches the life expectancy of the Korean population. That probability was higher in men (39.8%) than in women (34.2%) (data not shown).
There were marked differences in major cancers of each age-specific group (Fig. 1). In the childhood population (0–14 years), leukemia, non-Hodgkin lymphoma, and brain and central nervous system (CNS) cancer were the top three cancers in both sexes, accounting for 30.5%, 16.1%, and 14.2% of all cancer cases diagnosed in this age group, respectively. Thyroid cancer was the most common cancer in both sexes among the adolescent and young adult population (15–34 years), with a proportion of 50.8% of all cancers diagnosed. Leukemia and non-Hodgkin lymphoma were ranked next in men, while breast and cervix cancers were the next highest in women among that age group. In the 35–64-year age group population, men were most commonly diagnosed with stomach, colorectal, liver, and lung cancers (collectively accounting for 54.1%), while breast and thyroid cancers were most common in women (collectively accounting for 54.4%). For those aged 65 years and above, lung and prostate cancers were most common in men, while colorectal and lung cancers were most common in women. Most cancers demonstrated higher incidence rates in older age groups (i.e., incidence rates increased with age); the only exceptions were thyroid cancer in both sexes and breast cancer in women, which showed the highest incidences among the 30–40s and 40–50s age groups, respectively (Fig. 2).
2. Mortality
Since the causes-of-death statistics began to be reported in 1983, cancer has been the first cause of death in Korea. In 2018, a total of 79,153 people (61.8% men and 38.2% women) died of cancer, accounting for 26.5% of all deaths occurring in Korea (Tables 1 and 3). The overall CR for cancer deaths was 154.3 per 100,000, and the rate in men was approximately 1.6 times higher than in women (Table 4). Lung cancer was the leading cause of cancer death in both sexes (CR, 51.5 per 100,000 in men and 18.1 per 100,000 in women), followed by liver and stomach cancers in men, and colorectal and pancreatic cancers in women. When stratified according to the age at the time of death, the most common causes of cancer mortality were as follows: leukemia at ages 10 and 20 years, stomach cancer at 30 years, liver cancer at 40 and 50 years, and lung cancer at 60 years or more (data not shown).
3. Trends in cancer incidence and mortality
Changes in cancer incidence rates from 1999 to 2018 and mortality rates from 1983 to 2018 are depicted in Fig. 3. Compared to 1999, cancer incidence rates increased about 27.5% and mortality rates decreased about 35.9%, in 2018 (Table 5). The overall cancer incidence rates increased by approximately 3.3% per year until 2012, followed by a decline until 2015 with an annual decrease of 5.4%, and thereafter showed nonsignificant changes. In contrast, cancer mortality rates demonstrated nonsignificant changes until 2002, and decreased thereafter with an annual decrease of 2.7% until 2014, and a further decrease of 3.7% per year until 2018. These trends were observed similarly in both men and women, although the slopes of change were much more pronounced in women for incidence, and in men for mortality rates (S1 and S2 Tables).
Since 1999, breast, pancreas, kidney, and hematologic (leukemia and lymphoma) cancers, and that of some male or female reproductive organs (ovary, corpus uteri, prostate, and testis) have been continuously increasing. In both sexes combined, breast (especially for women) and kidney cancers displayed initial rapid increases and then lessened increases after 2007 and 2009, respectively. Prostate cancer demonstrated distinguished increase until 2009, followed by nonsignificant trend until 2015, and regained increasing trend thereafter. The remaining cancers with increasing trend revealed steady increases throughout the entire period. On the other hand, the incidences of colorectal, thyroid, and bladder cancers demonstrated increasing trends that have recently reversed significantly, with decreases starting in 2011, 2011, and 2004, respectively. Finally, in contrast, stomach and liver cancers demonstrated initial moderate decreasing trends until 2011 and 2010, respectively, followed by more rapid decreases thereafter; and cervical cancer showed initial nonsignificant trend until 2001, followed by marked decrease until 2007, however it showed lessened decrease thereafter until now (Table 5). These trends were observed similarly in both men and women, except for breast and thyroid cancer incidences in men and colorectal and bladder cancer incidences in women that revealed partially different results of trends from those described above (Fig. 4, S1 and S2 Tables).
Recently, the ASRs for mortality in most cancers have shown decreasing trends in Korea. Stomach cancer revealed continuous decreasing trends throughout the entire observed period for mortality, with more pronounced decreasing slopes in more recent periods. On the other hand, the mortality rates of colorectal, cervical, and thyroid cancers initially increased (significantly, for colorectal and cervical cancers; nonsignificantly, for thyroid cancer) until 2003, and began to decline thereafter (for cervical and thyroid cancers) or after a nonsignificant period of 10 years from 2003 had passed (i.e., from 2012, for colorectal cancer). Liver and lung cancer mortality rates began to decrease in 2002 and 2001, respectively, after nonsignificant trends until those years, followed by further rapid decreases starting in 2014 (Table 5). These trends were observed similarly in both sexes. In contrast, breast cancer (women) displayed significantly increasing mortality trends until 2016, followed by nonsignificant changes thereafter (Fig. 5, S1 and S2 Tables).
4. Survival rates
Over the past two decades, when cancer survival statistics have been compiled, the relative survival rates of cancer patients have increased significantly and steadily. The 5-year relative survival rates for all patients diagnosed with cancer in the recent five years, from 2014 to 2018 were 63.8% in men and 77.1% in women, for a combined overall survival rate of 70.3% (Table 6). The temporal increasing trends in survival rates, from 42.9% in 1993–1995 to 70.3% in 2014–2018, were maintained even after excluding thyroid cancer (from 41.2% in 1993–1995 to 65.7% in 2014–2018), which has excellent prognosis and a 5-year relative survival rate of 100%.
After thyroid cancer, survival was the highest for testis and prostate cancers in men (95.1% and 94.4%, respectively) and breast cancer in women (93.3%); survival was lowest for cancers of the pancreas (12.6%), and gallbladder plus other and unspecified parts of the biliary tract (28.8%). Stomach cancer (both sexes), prostate cancer (men), lung cancer, and leukemia (women) were associated with outstanding improvements in survival rates over the time period studied. In contrast, advances have been slow for cancers of the brain and CNS, pancreas (both sexes), and bladder (women).
In terms of stage distribution at diagnosis and recent survival rates according to the SEER summary stage in each cancer, Fig. 6 shows the top 10 most common cancers for each sex in 2018. In men, stomach, kidney, and bladder cancers revealed the highest proportions of patients who were diagnosed at the localized stage (64.3%, 71.7%, and 72.5%, respectively), accompanied by the 5-year survival rates of 97.4%, 98.0%, and 87.6%, respectively. In contrast, lung and pancreatic cancers demonstrated the highest proportions of patients diagnosed at the distant metastatic stage (i.e., the lowest proportions of localized stage), which approximated to 50%, with corresponding 5-year survival rates of 7.0% and 1.9%, respectively. In women, 58.4%, 62.9%, and 72.3% of breast, stomach, and uterine corpus cancers, respectively, were diagnosed at the localized stage, with 5-year survival rates of 98.8%, 95.7%, and 96.1%, respectively. However, more than 40% of lung and pancreatic cancers were diagnosed at the distant metastatic stage, with 5-year survival rates of 13.4% and 1.9%, respectively.
5. Prevalence rates
The total prevalent cancer cases in 2018 (identified as survivor at the time of January 1, 2019) were 2,005,520, surpassing 2 million for the first time in Korea (Table 1). It suggested that 1 in 25 people (3.9% of the entire Korean population; 3.4% of men and 4.4% of women) has a history of being diagnosed with cancer. Of these, 906,204 (45.2% of all prevalent cases) were aged ≥ 65 years, indicating that 1 in 8 people in that age group (15.8% of, or 1 in 6, men and 9.7% of, or 1 in 10, women) would have experienced cancer (data not shown).
Table 7 provides the CRs and ASRs of prevalence for all cancers combined and for specific cancers. In total, the cancer prevalence rate for 2018 in Korea was 3,909.3 per 100,000 people. Thyroid cancer had the highest prevalence (CR, 843.9 per 100,000; 302.5 per 100,000 for men and 1,383.3 per 100,000 for women), followed by stomach cancer (CR, 593.1 per 100,000) and colorectal cancer (CR, 517.1 per 100,000). Prostate cancer (men) and breast cancer (women) also revealed high prevalence rates (CR, 378.3 and 921.8 per 100,000, respectively).
The number of prevalent cases for common cancers, according to the time since cancer diagnosis, are described in Fig. 7. In total, 1,160,147 (57.8% of all prevalent cases) had survived > 5 years after cancer diagnosis, including many survivors of thyroid, stomach, colorectal, and breast cancers. Another 448,263 (22.4% of all prevalent cases) have been alive 2–5 years after their cancer diagnosis, in which period they need regular follow-up; and the rest were 397,110 (19.8% of all prevalent cases) for whom it had been < 2 years since their cancer diagnosis, in which period they still need active cancer treatment.
6. Carcinoma in situ incidence
A summary of carcinoma in situ cases in 2018 is provided as a Supplementary Material (S3 Material, S4 and S7 Tables, S5, S6, and S8 Figs.).
Conclusion
During the past two decades, regardless of the increases in cancer incidence due to changes in biologic, behavioral, and environmental risk factors, overall cancer statistics have improved significantly as a result of national cancer control plans that have been carried out throughout the years. Incidence and mortality rates for major cancers in Korea, i.e., stomach, colorectal, liver, breast, uterine cervix, and lung, have been exhibiting decreasing trends currently, except for increasing incidences in women for breast and lung cancers. The 5-year relative survival rates have continuously improved, reaching over 70% for all patients diagnosed with cancer in recent years. Cancer prevalence in Korea has rapidly increased due to such remarkable improvements in cancer survival, reaching over 2 million by the end of 2018. Despite those advances, there remain important challenges to be solved, such as the stagnant decreasing trend of cancer incidence rates in recent years, and treatment of cancers with low survival rates, including rare cancers. Cancer statistics can be used to discover blind spots in cancer control, and as evidence for comprehensive and precise cancer control strategies that need to be continuously developed and implemented.
Electronic Supplementary Material
Supplementary materials are available at Cancer Research and Treatment website (https://www.e-crt.org).
NOTES
Author Contributions
Conceived and designed the analysis: Won YJ.
Collected the data: Won YJ, Regional Cancer Registry Committee.
Contributed data or analysis tools: Hong S, Won YJ, Jung KW, Kong HJ.
Performed the analysis: Lee JJ.
Wrote the paper: Hong S, Won YJ.
Interpretation and review: Jung KW, Kong HJ.
Review and comment: Im JS, Seo HG.
Conflicts of Interest
Conflict of interest relevant to this article was not reported.
Acknowledgements
Special thanks to the tumor registrars (health information managers) of the Korea Central Cancer Registry (KCCR)-affiliated and non-KCCR-affiliated hospitals for data collection, abstracting, and coding. Additionally, we acknowledge the cooperation of the National Health Insurance Service and Statistics Korea for data support. This work was supported by the Health Promotion Fund of the Ministry of Health & Welfare (No. 2060570) and a research grant (No. 1910130) from the National Cancer Center, Republic of Korea.
Fig. 1
The five common sites of cancer incidence by age group and sex in Korea, 2018. (A) Men. (B) Women. Numbers in the graph are age-specific incidence rates per 100,000. CNS, central nervous system.
Fig. 2
Age-specific incidence rates of common cancers for 2018 in Korea. (A) Men. (B) Women.
Fig. 3
Annual age-standardized cancer incidence and mortality rates by sex for all sites from 1983 to 2018 in Korea. Age standardization was based on Segi’s world standard population.
Fig. 4
Trends in age-standardized incidences of selected cancers by sex from 1999 to 2018 in Korea. (A) Men. (B) Women. Age standardization was based on Segi’s world standard population.
Fig. 5
Trends in age-standardized mortalities of selected cancers by sex from 1983 to 2018 in Korea. (A) Men. (B) Women. Age standardization was based on Segi’s world standard population. a)Cancers of cervix uteri, corpus uteri, and unspecified parts of the uterus were combined (C53–C55), due to their unclear classifications in the past.
Fig. 6
Five-year relative survival rates by stage at diagnosis and stage distribution of selected cancers by sex in Korea, 2014–2018. (A) Men. (B) Women. Staging according to the Surveillance, Epidemiology, and End Results (SEER) stage categories. For each cancer type, stage categories do not total 100% because sufficient information was not available to stage all cases. a)Includes the gallbladder and other/unspecified parts of the biliary tract.
Fig. 7
Prevalent cases of common cancers by time since cancer diagnosis. Prevalent cases were defined as the number of cancer patients alive on January 1, 2019 among all cancer patients diagnosed between 1999 and 2018.
Table 1
Cancer incidence, mortality, and prevalence by sex in Korea, 2018
Site/Type | New cases | Deaths | Prevalent casesa) | ||||||
---|---|---|---|---|---|---|---|---|---|
Both sexes | Men | Women | Both sexes | Men | Women | Both sexes | Men | Women | |
All sites | 243,837 | 128,757 | 115,080 | 79,153 | 48,898 | 30,255 | 2,005,520 | 881,057 | 1,124,463 |
Lip, oral cavity, and pharynx | 3,806 | 2,740 | 1,066 | 1,137 | 841 | 296 | 27,533 | 18,422 | 9,111 |
Esophagus | 2,698 | 2,449 | 249 | 1,435 | 1,314 | 121 | 11,238 | 10,055 | 1,183 |
Stomach | 29,279 | 19,865 | 9,414 | 7,746 | 5,083 | 2,663 | 304,265 | 201,278 | 102,987 |
Colon and rectum | 27,909 | 16,686 | 11,223 | 8,715 | 4,900 | 3,815 | 265,291 | 157,777 | 107,514 |
Liverb) | 15,736 | 11,728 | 4,008 | 10,611 | 7,790 | 2,821 | 71,774 | 53,903 | 17,871 |
Gallbladderc) | 7,179 | 3,840 | 3,339 | 4,871 | 2,504 | 2,367 | 24,013 | 12,408 | 11,605 |
Pancreas | 7,611 | 4,020 | 3,591 | 6,036 | 3,193 | 2,843 | 13,321 | 6,926 | 6,395 |
Larynx | 1,143 | 1,081 | 62 | 295 | 271 | 24 | 11,461 | 10,787 | 674 |
Lungd) | 28,628 | 19,524 | 9,104 | 17,852 | 13,188 | 4,664 | 93,600 | 56,954 | 36,646 |
Breast | 23,647 | 100 | 23,547 | 2,473 | 13 | 2,460 | 237,771 | 867 | 236,904 |
Cervix uteri | 3,500 | - | 3,500 | 845 | - | 845 | 57,104 | - | 57,104 |
Corpus uteri | 3,182 | - | 3,182 | 327 | - | 327 | 28,249 | - | 28,249 |
Ovary | 2,898 | - | 2,898 | 1,243 | - | 1,243 | 22,641 | - | 22,641 |
Prostate | 14,857 | 14,857 | - | 1,995 | 1,995 | - | 96,852 | 96,852 | - |
Testis | 335 | 335 | - | 17 | 17 | - | 3,747 | 3,747 | - |
Kidney | 5,456 | 3,806 | 1,650 | 989 | 672 | 317 | 46,358 | 31,302 | 15,056 |
Bladder | 4,577 | 3,650 | 927 | 1,400 | 1,055 | 345 | 37,722 | 30,734 | 6,988 |
Brain and CNS | 2,024 | 1,088 | 936 | 1,355 | 727 | 628 | 12,356 | 6,332 | 6,024 |
Thyroid | 28,651 | 6,727 | 21,924 | 372 | 109 | 263 | 432,932 | 77,440 | 355,492 |
Hodgkin lymphoma | 299 | 181 | 118 | 62 | 39 | 23 | 3,215 | 1,988 | 1,227 |
Non-Hodgkin lymphoma | 5,216 | 3,001 | 2,215 | 1,876 | 1,075 | 801 | 35,224 | 19,993 | 15,231 |
Multiple myeloma | 1,719 | 927 | 792 | 953 | 508 | 445 | 7,008 | 3,677 | 3,331 |
Leukemia | 3,494 | 2,037 | 1,457 | 1,848 | 1,081 | 767 | 23,782 | 13,250 | 10,532 |
Other and ill-defined | 19,993 | 10,115 | 9,878 | 4,700 | 2,523 | 2,177 | 138,063 | 66,365 | 71,698 |
Table 2
Crude and age-standardized cancer incidence rates by sex in Korea, 2018
Site/Type | Crude incidence rates per 100,000 | Age-standardized incidence rates per 100,000a) | ||||
---|---|---|---|---|---|---|
Both sexes | Men | Women | Both sexes | Men | Women | |
All sites | 475.3 | 502.9 | 447.8 | 270.4 | 295.2 | 259.4 |
Lip, oral cavity, and pharynx | 7.4 | 10.7 | 4.1 | 4.3 | 6.3 | 2.4 |
Esophagus | 5.3 | 9.6 | 1.0 | 2.7 | 5.4 | 0.5 |
Stomach | 57.1 | 77.6 | 36.6 | 30.4 | 44.3 | 18.3 |
Colon and rectum | 54.4 | 65.2 | 43.7 | 28.4 | 37.4 | 20.6 |
Liverb) | 30.7 | 45.8 | 15.6 | 16.2 | 26.3 | 7.2 |
Gallbladderc) | 14.0 | 15.0 | 13.0 | 6.6 | 8.2 | 5.2 |
Pancreas | 14.8 | 15.7 | 14.0 | 7.4 | 8.8 | 6.3 |
Larynx | 2.2 | 4.2 | 0.2 | 1.2 | 2.4 | 0.1 |
Lungd) | 55.8 | 76.3 | 35.4 | 27.6 | 41.9 | 16.4 |
Breast | 46.1 | 0.4 | 91.6 | 29.1 | 0.2 | 57.9 |
Cervix uteri | 6.8 | - | 13.6 | 4.4 | - | 8.8 |
Corpus uteri | 6.2 | - | 12.4 | 3.9 | - | 7.7 |
Ovary | 5.6 | - | 11.3 | 3.6 | - | 7.1 |
Prostate | 29.0 | 58.0 | - | 14.3 | 31.9 | - |
Testis | 0.7 | 1.3 | - | 0.7 | 1.3 | - |
Kidney | 10.6 | 14.9 | 6.4 | 6.3 | 9.2 | 3.6 |
Bladder | 8.9 | 14.3 | 3.6 | 4.3 | 7.9 | 1.5 |
Brain and CNS | 3.9 | 4.2 | 3.6 | 3.0 | 3.3 | 2.7 |
Thyroid | 55.8 | 26.3 | 85.3 | 40.2 | 18.8 | 62.2 |
Hodgkin lymphoma | 0.6 | 0.7 | 0.5 | 0.5 | 0.6 | 0.4 |
Non-Hodgkin lymphoma | 10.2 | 11.7 | 8.6 | 6.5 | 8.0 | 5.0 |
Multiple myeloma | 3.4 | 3.6 | 3.1 | 1.7 | 2.0 | 1.4 |
Leukemia | 6.8 | 8.0 | 5.7 | 5.3 | 6.4 | 4.4 |
Other and ill-defined | 39.0 | 39.5 | 38.4 | 21.9 | 24.5 | 19.7 |
Table 3
The top 10 leading causes of death in Korea, 2018
Rank | Cause of death | No. of deaths | Percentage of all deaths | Age-standardized death rate per 100,000a) |
---|---|---|---|---|
All causes | 298,777 | 100.0 | 268.3 | |
1 | Cancer | 79,153 | 26.5 | 73.3 |
2 | Heart disease | 32,004 | 10.7 | 26.5 |
3 | Cerebrovascular disease | 22,940 | 7.7 | 18.7 |
4 | Pneumonia | 23,280 | 7.8 | 17.5 |
5 | Intentional self-harm (suicide) | 13,670 | 4.6 | 18.2 |
6 | Diabetes mellitus | 8,789 | 2.9 | 7.3 |
7 | Disease of liver | 6,858 | 2.3 | 7.4 |
8 | Chronic lower respiratory diseases | 6,608 | 2.2 | 5.0 |
9 | Hypertensive diseases | 6,065 | 2.0 | 4.5 |
10 | Transport accidents | 4,671 | 1.6 | 5.7 |
Others | 94,782 | 31.7 | 84.3 |
Table 4
Crude and age-standardized cancer mortality rates by sex in Korea, 2018
Site/Type | Crude mortality rates per 100,000 | Age-standardized mortality rates per 100,000a) | ||||
---|---|---|---|---|---|---|
Both sexes | Men | Women | Both sexes | Men | Women | |
All sites | 154.3 | 191.0 | 117.7 | 73.3 | 105.3 | 49.5 |
Lip, oral cavity, and pharynx | 2.2 | 3.3 | 1.2 | 1.1 | 1.8 | 0.5 |
Esophagus | 2.8 | 5.1 | 0.5 | 1.3 | 2.8 | 0.2 |
Stomach | 15.1 | 19.9 | 10.4 | 7.1 | 11.0 | 4.1 |
Colon and rectum | 17.0 | 19.1 | 14.8 | 7.7 | 10.6 | 5.5 |
Liverb) | 20.7 | 30.4 | 11.0 | 10.2 | 17.0 | 4.4 |
Gallbladderc) | 9.5 | 9.8 | 9.2 | 4.2 | 5.2 | 3.4 |
Pancreas | 11.8 | 12.5 | 11.1 | 5.5 | 6.9 | 4.3 |
Larynx | 0.6 | 1.1 | 0.1 | 0.3 | 0.6 | 0.0 |
Lungd) | 34.8 | 51.5 | 18.1 | 15.7 | 27.5 | 7.0 |
Breast | 4.8 | 0.1 | 9.6 | 2.7 | 0.0 | 5.3 |
Cervix uteri | 1.6 | - | 3.3 | 0.9 | - | 1.7 |
Corpus uteri | 0.6 | - | 1.3 | 0.3 | - | 0.6 |
Ovary | 2.4 | - | 4.8 | 1.3 | - | 2.4 |
Prostate | 3.9 | 7.8 | - | 1.5 | 4.2 | - |
Testis | 0.0 | 0.1 | - | 0.0 | 0.1 | - |
Kidney | 1.9 | 2.6 | 1.2 | 0.9 | 1.5 | 0.5 |
Bladder | 2.7 | 4.1 | 1.3 | 1.1 | 2.2 | 0.4 |
Brain and CNS | 2.6 | 2.8 | 2.4 | 1.7 | 1.9 | 1.5 |
Thyroid | 0.7 | 0.4 | 1.0 | 0.3 | 0.2 | 0.4 |
Hodgkin lymphoma | 0.1 | 0.2 | 0.1 | 0.1 | 0.1 | 0.0 |
Non-Hodgkin lymphoma | 3.7 | 4.2 | 3.1 | 1.8 | 2.4 | 1.3 |
Multiple myeloma | 1.9 | 2.0 | 1.7 | 0.8 | 1.1 | 0.7 |
Leukemia | 3.6 | 4.2 | 3.0 | 2.1 | 2.7 | 1.7 |
Other and ill-defined | 9.2 | 9.9 | 8.5 | 4.5 | 5.7 | 3.6 |
Table 5
Trends in cancer incidence and mortality rates from 1999 to 2018 in Korea, both sexes
Site/Type | Incidence | Mortality | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1999 | 2018 | Trend 1 | Trend 2 | Trend 3 | 1999 | 2018 | Trend 1 | Trend 2 | Trend 3 | |||||||
Years | APC | Years | APC | Years | APC | Years | APC | Years | APC | Years | APC | |||||
All sites | 212.0 | 270.4 | 1999–2012 | 3.3a) | 2012–2015 | −5.4a) | 2015–2018 | 1.0 | 114.3 | 73.3 | 1999–2002 | 1.0 | 2002–2014 | −2.7a) | 2014–2018 | −3.7a) |
Lip, oral cavity, and pharynx | 3.6 | 4.3 | 1999–2018 | 0.7a) | - | - | - | - | 1.1 | 1.1 | 1999–2018 | −1.9a) | - | - | - | - |
Esophagus | 4.1 | 2.7 | 1999–2018 | −2.2a) | - | - | - | - | 3.1 | 1.3 | 1999–2018 | −4.4a) | - | - | - | - |
Stomach | 43.6 | 30.4 | 1999–2011 | −0.2 | 2011–2018 | −4.6a) | - | - | 23.8 | 7.1 | 1999–2002 | −2.6a) | 2002–2010 | −6.2a) | 2010–2018 | −7.4a) |
Colon and rectum | 20.6 | 28.4 | 1999–2006 | 7.2a) | 2006–2011 | 3.1a) | 2011–2018 | −4.4a) | 7.7 | 7.7 | 1999–2003 | 6.4a) | 2003–2012 | −0.4 | 2012–2018 | −3.8a) |
Liverb) | 27.9 | 16.2 | 1999–2010 | −1.7a) | 2010–2018 | −4.3a) | - | - | 20.4 | 10.2 | 1999–2002 | 0.7 | 2002–2014 | −3.6a) | 2014–2018 | −6.4a) |
Gallbladderc) | 6.5 | 6.6 | 1999–2004 | 1.4 | 2004–2018 | −0.3a) | - | - | 5.2 | 4.2 | 1999–2001 | 7.6 | 2001–2014 | −2.8a) | 2014–2018 | 0.5 |
Pancreas | 5.6 | 7.4 | 1999–2018 | 1.5a) | - | - | - | - | 5.4 | 5.5 | 1999–2018 | 0.2 | - | - | - | - |
Larynx | 2.4 | 1.2 | 1999–2018 | −3.6a) | - | - | - | - | 1.6 | 0.3 | 1999–2005 | −8.0a) | 2005–2008 | −15.4a) | 2008–2018 | −7.1a) |
Lungd) | 28.5 | 27.6 | 1999–2011 | 0.1 | 2011–2015 | −1.4a) | 2015–2018 | 0.7 | 22.4 | 15.7 | 1999–2001 | 3.7 | 2001–2014 | −1.9a) | 2014–2018 | −4.3a) |
Breast | 11.0 | 29.1 | 1999–2007 | 6.4a) | 2007–2018 | 4.4a) | - | - | 2.2 | 2.7 | 1999–2016 | 1.4a) | 2016–2018 | −2.7 | - | - |
Cervix uteri | 8.6 | 4.4 | 1999–2001 | −1.0 | 2001–2007 | −5.4a) | 2007–2018 | −2.8a) | 1.4 | 0.9 | 1999–2003 | 10.0a) | 2003–2008 | −7.0a) | 2008–2018 | −4.2a) |
Corpus uteri | 1.4 | 3.9 | 1999–2018 | 5.1a) | - | - | - | - | 0.1 | 0.3 | 1999–2003 | 35.9a) | 2003–2018 | 2.4a) | - | - |
Ovary | 2.7 | 3.6 | 1999–2018 | 1.7a) | - | - | - | - | 0.9 | 1.3 | 1999–2018 | 0.7a) | - | - | - | - |
Prostate | 3.1 | 14.3 | 1999–2009 | 14.9a) | 2009–2015 | 0.6 | 2015–2018 | 6.8a) | 0.9 | 1.5 | 1999–2002 | 15.0a) | 2002–2011 | 1.7a) | 2011–2018 | −1.5a) |
Testis | 0.3 | 0.7 | 1999–2018 | 4.8a) | - | - | - | - | 0.0 | 0.0 | 1999–2018 | −2.4a) | - | - | - | - |
Kidney | 3.0 | 6.3 | 1999–2009 | 6.4a) | 2009–2018 | 2.0a) | - | - | 1.1 | 0.9 | 1999–2018 | −0.4 | - | - | - | - |
Bladder | 4.7 | 4.3 | 1999–2004 | 1.9a) | 2004–2018 | −1.1a) | - | - | 1.3 | 1.1 | 1999–2001 | 10.5 | 2001–2018 | −1.9a) | - | - |
Brain and CNS | 2.9 | 3.0 | 1999–2018 | 0.2 | - | - | - | - | 1.9 | 1.7 | 1999–2002 | 6.3a) | 2002–2008 | −3.5a) | 2008–2018 | −0.9a) |
Thyroid | 6.5 | 40.2 | 1999–2011 | 21.7a) | 2011–2018 | −9.3a) | - | - | 0.4 | 0.3 | 1999–2003 | 7.5a) | 2003–2018 | −4.5a) | - | - |
Hodgkin lymphoma | 0.3 | 0.5 | 1999–2018 | 3.6a) | - | - | - | - | 0.0 | 0.1 | 1999–2004 | 23.0a) | 2004–2018 | −1.7 | - | - |
Non-Hodgkin lymphoma | 4.3 | 6.5 | 1999–2018 | 2.3a) | - | - | - | - | 2.1 | 1.8 | 1999–2018 | −1.0a) | - | - | - | - |
Multiple myeloma | 1.0 | 1.7 | 1999–2012 | 3.7a) | 2012–2018 | 1.0 | - | - | 0.6 | 0.8 | 1999–2003 | 12.6a) | 2003–2016 | 1.0 | 2016–2018 | −7.6 |
Leukemia | 4.7 | 5.3 | 1999–2018 | 0.9a) | - | - | - | - | 2.9 | 2.1 | 1999–2018 | −1.8a) | - | - | - | - |
Other and ill-defined | 15.0 | 21.9 | 1999–2001 | −0.9 | 2001–2007 | 3.6a) | 2007–2018 | 1.8a) | 7.8 | 4.5 | 1999–2018 | −2.8a) | - | - | - | - |
Table 6
Trends in the 5-year relative survival rates (%) by sex and year of diagnosis from 1993 to 2018 in Korea
Site/Type | Both sexes | Men | Women | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1993–1995 | 1996–2000 | 2001–2005 | 2006–2010 | 2011–2015 | 2014–2018 | Changea) | 1993–1995 | 1996–2000 | 2001–2005 | 2006–2010 | 2011–2015 | 2014–2018 | Changea) | 1993–1995 | 1996–2000 | 2001–2005 | 2006–2010 | 2011–2015 | 2014–2018 | Changea) | |
All sites | 42.9 | 45.1 | 54.1 | 65.5 | 70.7 | 70.3 | 27.4 | 33.2 | 36.3 | 45.6 | 56.8 | 63.1 | 63.8 | 30.6 | 55.1 | 56.4 | 64.3 | 74.4 | 78.3 | 77.1 | 22.0 |
All sites excluding thyroid | 41.2 | 43.3 | 50.8 | 59.0 | 64.2 | 65.7 | 24.5 | 32.7 | 35.8 | 44.7 | 54.6 | 60.3 | 61.6 | 28.9 | 52.6 | 53.5 | 59.1 | 65.0 | 69.3 | 70.8 | 18.2 |
Lip, oral cavity, and pharynx | 42.2 | 47.4 | 54.5 | 61.1 | 65.4 | 68.0 | 25.8 | 36.6 | 41.7 | 49.6 | 56.9 | 61.8 | 65.0 | 28.4 | 59.4 | 64.5 | 68.1 | 72.1 | 74.5 | 75.4 | 16.0 |
Esophagus | 14.0 | 15.7 | 21.5 | 30.0 | 36.6 | 39.5 | 25.5 | 13.0 | 14.8 | 20.8 | 29.3 | 36.2 | 38.9 | 25.9 | 25.0 | 25.9 | 29.8 | 37.2 | 40.1 | 44.9 | 19.9 |
Stomach | 43.8 | 47.3 | 58.0 | 68.4 | 75.9 | 77.0 | 33.2 | 43.9 | 47.6 | 58.7 | 69.1 | 76.8 | 77.8 | 33.9 | 43.7 | 46.8 | 56.6 | 67.0 | 74.0 | 75.2 | 31.5 |
Colon and rectum | 56.2 | 58.8 | 66.9 | 73.9 | 76.1 | 74.3 | 18.1 | 56.6 | 59.8 | 68.8 | 75.8 | 77.8 | 75.6 | 19.0 | 55.7 | 57.7 | 64.5 | 71.1 | 73.6 | 72.3 | 16.6 |
Liverb) | 11.8 | 14.1 | 20.5 | 28.3 | 34.4 | 37.0 | 25.2 | 10.8 | 13.8 | 20.4 | 28.2 | 34.9 | 37.8 | 27.0 | 15.0 | 15.1 | 20.9 | 28.3 | 32.8 | 34.7 | 19.7 |
Gallbladderc) | 18.7 | 20.7 | 23.1 | 26.9 | 28.7 | 28.8 | 10.1 | 18.0 | 21.1 | 23.4 | 27.8 | 29.4 | 29.8 | 11.8 | 19.3 | 20.3 | 22.7 | 26.0 | 28.0 | 27.8 | 8.5 |
Pancreas | 10.6 | 8.7 | 8.4 | 8.5 | 10.8 | 12.6 | 2.0 | 10.0 | 8.3 | 8.4 | 8.3 | 10.2 | 11.9 | 1.9 | 11.5 | 9.2 | 8.4 | 8.8 | 11.4 | 13.2 | 1.7 |
Larynx | 61.6 | 63.3 | 66.5 | 73.2 | 75.1 | 78.6 | 17.0 | 62.1 | 63.7 | 67.1 | 73.5 | 75.5 | 78.9 | 16.8 | 56.3 | 58.9 | 58.7 | 68.0 | 68.8 | 74.1 | 17.8 |
Lungd) | 12.5 | 13.6 | 16.6 | 20.3 | 27.5 | 32.4 | 19.9 | 11.6 | 12.4 | 15.3 | 18.0 | 23.3 | 27.0 | 15.4 | 15.8 | 17.5 | 20.2 | 26.0 | 37.3 | 44.3 | 28.5 |
Breast | 79.2 | 83.6 | 88.7 | 91.2 | 92.8 | 93.3 | 14.1 | 77.1 | 84.3 | 87.5 | 89.9 | 90.5 | 91.9 | 14.8 | 79.3 | 83.6 | 88.7 | 91.2 | 92.8 | 93.3 | 14.0 |
Cervix uteri | 78.3 | 80.3 | 81.5 | 80.7 | 80.3 | 80.5 | 2.2 | - | - | - | - | - | - | - | 78.3 | 80.3 | 81.5 | 80.7 | 80.3 | 80.5 | 2.2 |
Corpus uteri | 82.9 | 82.0 | 84.7 | 86.5 | 87.8 | 88.6 | 5.7 | - | - | - | - | - | - | - | 82.9 | 82.0 | 84.7 | 86.5 | 87.8 | 88.6 | 5.7 |
Ovary | 60.1 | 59.4 | 61.7 | 61.2 | 64.7 | 65.2 | 5.1 | - | - | - | - | - | - | - | 60.1 | 59.4 | 61.7 | 61.2 | 64.7 | 65.2 | 5.1 |
Prostate | 59.2 | 69.3 | 81.0 | 92.0 | 94.2 | 94.4 | 35.2 | 59.2 | 69.3 | 81.0 | 92.0 | 94.2 | 94.4 | 35.2 | - | - | - | - | - | - | - |
Testis | 87.4 | 90.4 | 90.7 | 93.1 | 94.8 | 95.1 | 7.7 | 87.4 | 90.4 | 90.7 | 93.1 | 94.8 | 95.1 | 7.7 | - | - | - | - | - | - | - |
Kidney | 64.2 | 67.0 | 73.7 | 78.6 | 82.6 | 84.1 | 19.9 | 63.4 | 65.3 | 73.1 | 78.5 | 82.2 | 84.3 | 20.9 | 65.8 | 70.3 | 74.9 | 79.0 | 83.4 | 83.7 | 17.9 |
Bladder | 70.7 | 73.6 | 76.0 | 77.2 | 76.4 | 76.6 | 5.9 | 71.6 | 75.1 | 77.8 | 79.2 | 78.3 | 78.6 | 7.0 | 67.2 | 67.2 | 69.1 | 69.1 | 68.2 | 68.2 | 1.0 |
Brain and CNS | 40.4 | 39.9 | 41.0 | 42.9 | 41.6 | 40.9 | 0.5 | 39.1 | 38.6 | 40.3 | 41.3 | 40.1 | 39.8 | 0.7 | 42.2 | 41.4 | 41.8 | 44.6 | 43.2 | 42.2 | - |
Thyroid | 94.5 | 95.0 | 98.4 | 100.0 | 100.2 | 100.0 | 5.5 | 87.8 | 89.7 | 96.0 | 100.2 | 100.6 | 100.4 | 12.6 | 95.7 | 96.0 | 98.7 | 99.9 | 100.1 | 99.9 | 4.2 |
Hodgkin lymphoma | 70.1 | 71.9 | 76.7 | 81.1 | 82.3 | 84.5 | 14.4 | 69.2 | 69.3 | 74.7 | 80.8 | 81.8 | 81.8 | 12.6 | 71.5 | 77.3 | 80.7 | 81.6 | 83.2 | 88.8 | 17.3 |
Non-Hodgkin lymphoma | 48.3 | 51.1 | 56.0 | 59.4 | 62.8 | 64.0 | 15.7 | 46.8 | 49.6 | 55.0 | 59.2 | 62.8 | 64.8 | 18.0 | 50.7 | 53.3 | 57.5 | 59.7 | 62.8 | 62.9 | 12.2 |
Multiple myeloma | 23.5 | 21.1 | 29.7 | 35.0 | 41.5 | 46.6 | 23.1 | 23.0 | 19.2 | 29.9 | 35.2 | 41.0 | 46.9 | 23.9 | 24.1 | 23.3 | 29.5 | 34.7 | 42.0 | 46.4 | 22.3 |
Leukemia | 27.5 | 34.3 | 42.0 | 47.7 | 51.9 | 53.4 | 25.9 | 27.3 | 33.3 | 41.8 | 46.9 | 52.2 | 53.4 | 26.1 | 27.8 | 35.5 | 42.2 | 48.7 | 51.6 | 53.6 | 25.8 |
Other and ill-defined | 44.5 | 48.3 | 57.8 | 67.6 | 72.7 | 74.8 | 30.3 | 39.6 | 44.7 | 54.0 | 63.8 | 69.3 | 71.7 | 32.1 | 50.1 | 52.6 | 62.0 | 71.6 | 76.1 | 77.9 | 27.8 |
Table 7
Crude and age-standardized rates of cancer prevalence by sex on January 1, 2019 in Korea
Site/Type | Crude prevalence rates per 100,000a) | Age-standardized prevalence rates per 100,000b) | ||||
---|---|---|---|---|---|---|
Both sexes | Men | Women | Both sexes | Men | Women | |
All sites | 3,909.3 | 3,441.4 | 4,375.5 | 2,216.8 | 2,018.5 | 2,499.4 |
Lip, oral cavity, and pharynx | 53.7 | 72.0 | 35.5 | 30.9 | 43.0 | 20.2 |
Esophagus | 21.9 | 39.3 | 4.6 | 11.0 | 21.7 | 2.2 |
Stomach | 593.1 | 786.2 | 400.7 | 304.6 | 440.6 | 191.7 |
Colon and rectum | 517.1 | 616.3 | 418.4 | 262.5 | 347.0 | 193.7 |
Liverc) | 139.9 | 210.5 | 69.5 | 76.7 | 122.3 | 35.3 |
Gallbladderd) | 46.8 | 48.5 | 45.2 | 22.6 | 26.7 | 19.4 |
Pancreas | 26.0 | 27.1 | 24.9 | 14.1 | 15.7 | 12.8 |
Larynx | 22.3 | 42.1 | 2.6 | 11.1 | 23.3 | 1.2 |
Lunge) | 182.5 | 222.5 | 142.6 | 92.8 | 123.6 | 68.9 |
Breast | 463.5 | 3.4 | 921.8 | 273.9 | 1.9 | 539.4 |
Cervix uteri | 111.3 | - | 222.2 | 64.6 | - | 126.4 |
Corpus uteri | 55.1 | - | 109.9 | 32.5 | - | 64.1 |
Ovary | 44.1 | - | 88.1 | 28.4 | - | 56.4 |
Prostate | 188.8 | 378.3 | - | 85.7 | 200.7 | - |
Testis | 7.3 | 14.6 | - | 6.5 | 12.8 | - |
Kidney | 90.4 | 122.3 | 58.6 | 52.0 | 73.9 | 32.2 |
Bladder | 73.5 | 120.0 | 27.2 | 35.2 | 66.1 | 11.3 |
Brain and CNS | 24.1 | 24.7 | 23.4 | 19.9 | 21.1 | 18.7 |
Thyroid | 843.9 | 302.5 | 1,383.3 | 536.4 | 196.8 | 874.0 |
Hodgkin lymphoma | 6.3 | 7.8 | 4.8 | 5.1 | 6.1 | 4.0 |
Non-Hodgkin lymphoma | 68.7 | 78.1 | 59.3 | 45.7 | 54.8 | 37.2 |
Multiple myeloma | 13.7 | 14.4 | 13.0 | 7.2 | 8.1 | 6.3 |
Leukemia | 46.4 | 51.8 | 41.0 | 41.5 | 46.6 | 36.4 |
Other and ill-defined | 269.1 | 259.2 | 279.0 | 155.8 | 165.8 | 147.6 |
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Frontiers in Medicine.2024;[Epub] CrossRef - Machine learning-based prediction of pulmonary embolism to reduce unnecessary computed tomography scans in gastrointestinal cancer patients: a retrospective multicenter study
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Scientific Reports.2024;[Epub] CrossRef - Monitoring the Outcomes of Systemic Chemotherapy Including Immune Checkpoint Inhibitor for HER2-Positive Metastatic Gastric Cancer by Liquid Biopsy
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Yonsei Medical Journal.2023; 64(9): 531. CrossRef - U-shaped association between body mass index and health-related quality of life impairment in Korean cancer survivors: a nationwide representative cross-sectional survey
Jong Eun Park, Kyoung Eun Yeob, So Young Kim, Chul-Woung Kim, Hye Sook Han, Jong Hyock Park
Journal of Cancer Survivorship.2023; 17(5): 1522. CrossRef - Imaging for Multiple Myeloma according to the Recent International Myeloma Working Group Guidelines: Analysis of Image Acquisition Techniques and Response Evaluation in Whole-Body MRI according to MY-RADS
A Yeon Son, Hye Won Chung
Journal of the Korean Society of Radiology.2023; 84(1): 150. CrossRef - Association between dietary intake of n‐3 polyunsaturated fatty acids and risk of colorectal cancer in the Japanese population: The Japan Collaborative Cohort Study
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Cancer Medicine.2023; 12(4): 4690. CrossRef - Incidence and survival rates of primary uterine carcinosarcoma in Korea: a National Cancer Registry study
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Journal of Gynecologic Oncology.2023;[Epub] CrossRef - Deep Learning for Estimating Lung Capacity on Chest Radiographs Predicts Survival in Idiopathic Pulmonary Fibrosis
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Radiology.2023;[Epub] CrossRef - Impacts of Subtype on Clinical Feature and Outcome of Male Breast Cancer: Multicenter Study in Korea (KCSG BR16-09)
Jieun Lee, Keun Seok Lee, Sung Hoon Sim, Heejung Chae, Joohyuk Sohn, Gun Min Kim, Kyung-Hee Lee, Su Hwan Kang, Kyung Hae Jung, Jae-ho Jeong, Jae Ho Byun, Su-Jin Koh, Kyoung Eun Lee, Seungtaek Lim, Hee Jun Kim, Hye Sung Won, Hyung Soon Park, Guk Jin Lee, S
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Jin-Kyoung Oh, Minji Han, Byungmi Kim, Eun Young Park
Cancer Research and Treatment.2023; 55(1): 15. CrossRef - Radiologic Review of Small Bowel Malignancies and Their Mimicking Lesions
Jong Soo Lee, So Hyun Park, Seung Joon Choi
Journal of the Korean Society of Radiology.2023; 84(1): 110. CrossRef - Association of Dietary Antioxidant Vitamin Intake and Gastric Cancer Risk According to Smoking Status and Histological Subtypes of Gastric Cancer: A Case-Control Study in Korea
Shin Ah Kim, Jung Hyun Kwak, Chang Soo Eun, Dong Soo Han, Yong Sung Kim, Kyu Sang Song, Bo Youl Choi, Hyun Ja Kim
Nutrition and Cancer.2023; 75(2): 652. CrossRef - Treatment Patterns, Clinical Outcomes and Health Care Resource Utilisation in Patients with EGFR-mutated Metastatic Non-Small Cell Lung Cancer: A Real-World Study in South Korea
Cliff Molife, Jae Min Cho, Jennifer Lapthorn, Min Ju Kang, Yulia D’yachkova, Sangmi Kim, Sam Colman, Saerom Kim, Agota Szende, Ji Hyun Park, Hee Kyung Ahn, Min Hee Hong, Kaisa-Leena Taipale, Hye Ryun Kim
Drugs - Real World Outcomes.2023; 10(1): 131. CrossRef - Lymphocyte activation gene (LAG)-3 is a potential immunotherapeutic target for microsatellite stable, programmed death-ligand 1 (PD-L1)-positive endometrioid endometrial cancer
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Journal of Surgical Oncology.2023; 127(4): 668. CrossRef - Five-Year Overall Survival and Prognostic Factors in Patients with Lung Cancer: Results from the Korean Association of Lung Cancer Registry (KALC-R) 2015
Da Som Jeon, Ho Cheol Kim, Se Hee Kim, Tae-Jung Kim, Hong Kwan Kim, Mi Hyung Moon, Kyongmin Sarah Beck, Yang-Gun Suh, Changhoon Song, Jin Seok Ahn, Jeong Eun Lee, Jeong Uk Lim, Jae Hyun Jeon, Kyu-Won Jung, Chi Young Jung, Jeong Su Cho, Yoo-Duk Choi, Seung
Cancer Research and Treatment.2023; 55(1): 103. CrossRef - Interaction between dietary potassium intake and TNF-α rs1800629 genetic polymorphism in gastric cancer risk: a case–control study conducted in Korea
Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
British Journal of Nutrition.2023; 130(5): 887. CrossRef - Effects of Cheonggukjang (Fermented Soybean) on the Development of Colitis-Associated Colorectal Cancer in Mice
Hyeon-Ji Lim, In-Sun Park, Su-Ji Jeong, Gwang-Su Ha, Hee-Jong Yang, Do-Youn Jeong, Seon-Young Kim, Chan-Hun Jung
Foods.2023; 12(2): 383. CrossRef - A standardized pathology report for gastric cancer: 2nd edition
Young Soo Park, Myeong-Cherl Kook, Baek-hui Kim, Hye Seung Lee, Dong-Wook Kang, Mi-Jin Gu, Ok Ran Shin, Younghee Choi, Wonae Lee, Hyunki Kim, In Hye Song, Kyoung-Mee Kim, Hee Sung Kim, Guhyun Kang, Do Youn Park, So-Young Jin, Joon Mee Kim, Yoon Jung Choi,
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Clinical Nutrition ESPEN.2023; 53: 74. CrossRef - A Standardized Pathology Report for Gastric Cancer: 2nd Edition
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Journal of Infection and Chemotherapy.2023; 29(6): 571. CrossRef - Korean Practice Guidelines for Gastric Cancer 2022: An Evidence-based, Multidisciplinary Approach
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Journal of Oncology.2023; 2023: 1. CrossRef - Epidemiology and comorbidities in idiopathic pulmonary fibrosis: a nationwide cohort study
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BMC Pulmonary Medicine.2023;[Epub] CrossRef - Role of breast cancer screening in the overdiagnosis of thyroid cancer: results from a cross-sectional nationwide survey
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BMC Women's Health.2023;[Epub] CrossRef - Pancreatoduodenectomy following neoadjuvant chemotherapy in duodenal adenocarcinoma
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Frontiers in Oncology.2023;[Epub] CrossRef - Trajectory of physical activity frequency and cancer risk: Findings from a population-based cohort study
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European Review of Aging and Physical Activity.2023;[Epub] CrossRef - Association of Breast Cancer Family History With Breast Density Over Time in Korean Women
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British Journal of Nutrition.2023; 129(9): 1563. CrossRef - Role of neoadjuvant treatment in resectable pancreatic cancer according to vessel invasion and increase of CA19‐9 levels
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Journal of Hepato-Biliary-Pancreatic Sciences.2023; 30(7): 924. CrossRef - Clinical Outcomes of Resectional Roux-en-Y Gastric Bypass, Compared to Sleeve Gastrectomy for Severe Obesity
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Obesity Surgery.2023; 33(5): 1338. CrossRef - Effect of Sevoflurane on the Proliferation of A549 Lung Cancer Cells
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Medicina.2023; 59(3): 613. CrossRef - Clinical features and Surgical Outcome of Clear Cell Papillary Renal Cell Tumor: result from a prospective cohort
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BMC Urology.2023;[Epub] CrossRef - Association between Posttreatment Serum Platelet-to-Lymphocyte Ratio and Distant Metastases in Patients with Hepatocellular Carcinoma Receiving Curative Radiation Therapy
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Cancers.2023; 15(7): 1978. CrossRef - Development and external validation of nomograms for predicting individual survival in patients with ovarian clear cell carcinoma
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Cancer Medicine.2023; 12(10): 11385. CrossRef - Real-World Study Evaluating Safety and Effectiveness of Axitinib in Korean Patients with Renal Cell Carcinoma after Failure of One Prior Systemic Therapy
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Gastric Cancer.2023; 26(4): 580. CrossRef - Prediction of Cancer Incidence and Mortality in Korea, 2023
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Supportive Care in Cancer.2023;[Epub] CrossRef - Prognostic significances of PD-L1- and CTLA-4-positive T cells and positive correlations of immunosuppressive marker expression between cancer tissue and peripheral blood in patients with gastric cancer
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Frontiers in Immunology.2023;[Epub] CrossRef - Incidence of dysphagia requiring medical attention in various types of cancers: A nationwide population-based cohort study
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Supportive Care in Cancer.2023;[Epub] CrossRef - Association of polypharmacy with all‐cause mortality and adverse events among elderly colorectal cancer survivors
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PLOS ONE.2023; 18(5): e0285554. CrossRef - Prediction of ECOG Performance Status of Lung Cancer Patients Using LIME-Based Machine Learning
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Mathematics.2023; 11(10): 2354. CrossRef - Changes in cervical dysplasia, carcinoma in situ, and cervical cancer after expanding the National Cancer Screening Program to younger women in Korea
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International Journal for Quality in Health Care.2023;[Epub] CrossRef - Mortality risk according to smoking trajectories after cancer diagnosis among Korean male cancer survivors: A population-based cohort study
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Tobacco Induced Diseases.2023; 21(May): 1. CrossRef - Recent Trends of Medical Expenses Associated with Radiation Therapy in Korea Based on HIRA Big Data
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Cancer Research and Treatment.2023; 55(3): 758. CrossRef - Asia‐Pacific Leukemia Consortium: An innovative and collaborative initiative to improve care of leukemia and related diseases in the Asia‐Pacific region
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Asia-Pacific Journal of Clinical Oncology.2023; 19(6): 655. CrossRef - Survival rate of thyroid cancer in the Asian countries: a systematic review and meta-analysis study
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Endocrine.2023; 82(2): 237. CrossRef - Effects of prior endoscopic resection on recurrence in patients with T1 colorectal cancer who underwent radical surgery
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International Journal of Colorectal Disease.2023;[Epub] CrossRef - Etiology of Isolated Third, Fourth, and Sixth Cranial Nerve Palsies with a Cancer History
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Journal of the Korean Ophthalmological Society.2023; 64(6): 532. CrossRef - Testicular Cancer Incidence among Obstructive Sleep Apnea (OSA) Patients: South Korean National Health Insurance Data
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Cancers.2023; 15(13): 3273. CrossRef - Differential Prognostic Value of Vascular Invasion in Resected Lung Adenocarcinomas According to Epidermal Growth Factor Receptor Mutational Status
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Clinical Lung Cancer.2023; 24(7): e291. CrossRef - Interaction between retinol intake and ISX rs5755368 polymorphism in colorectal cancer risk: a case–control study in a Korean population
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Scientific Reports.2023;[Epub] CrossRef - Sex‐specific differences in colorectal cancer: A multicenter retrospective cohort study
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Cancer Reports.2023;[Epub] CrossRef - Computed Tomography–based Prognostication in Lung Adenocarcinomas through Histopathological Feature Learning: A Retrospective Multicenter Study
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Annals of the American Thoracic Society.2023; 20(7): 1020. CrossRef - Associations between Physical Activity and Incidence of Cancer among Overweight Adults in Korea: Results from the Health Examinees-G Study
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Cancer Prevention Research.2023; 16(7): 405. CrossRef - Preferred versus Actual Place of Care and Factors Associated with Home Discharge among Korean Patients with Advanced Cancer: A Retrospective Cohort Study
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Healthcare.2023; 11(13): 1939. CrossRef - Systematic Review of Lung Cancer Screening: Advancements and Strategies for Implementation
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Healthcare.2023; 11(14): 2085. CrossRef - Trends in incidence and overdiagnosis of thyroid cancer in China, Japan, and South Korea
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Cancer Science.2023; 114(10): 4052. CrossRef - Complication After Gastrectomy for Gastric Cancer According to Hospital Volume: Based on Korean Gastric Cancer Association-Led Nationwide Survey Data
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Journal of Gastric Cancer.2023; 23(3): 462. CrossRef - Renal function change after radical cystectomy for urothelial carcinoma patients with a solitary kidney may be independent of urinary diversion type
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Investigative and Clinical Urology.2023; 64(5): 457. CrossRef - Serum 25-Hydroxyvitamin D Levels and Risk of Colorectal Cancer: An Age-Stratified Analysis
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Gastroenterology.2023; 165(4): 920. CrossRef - Comparison of the Effects of DOTA and NOTA Chelators on 64Cu-Cudotadipep and 64Cu-Cunotadipep for Prostate Cancer
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Scientific Reports.2023;[Epub] CrossRef - Prognostic value of CT-defined ground-glass opacity in early-stage lung adenocarcinomas: a single-center study and meta-analysis
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European Radiology.2023; 34(3): 1905. CrossRef - Prognostic Value of Hematological Markers in Head and Neck Cancer Patients With a History of Hematological Malignancy
Jooin Bang, Oh-Hyeong Lee, Geun-Jeon Kim, Sang-Yeon Kim, Dong-Il Sun
Korean Journal of Otorhinolaryngology-Head and Neck Surgery.2023; 66(10): 678. CrossRef - Serum KL-6 levels predict the occurrence and severity of treatment-related interstitial lung disease in lung cancer
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Scientific Reports.2023;[Epub] CrossRef - Sublobar Resection versus Stereotactic Body Radiation Therapy for Clinical Stage I Non–Small Cell Lung Cancer: A Study Using Data from the Korean Nationwide Lung Cancer Registry
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Cancer Research and Treatment.2023; 55(4): 1171. CrossRef - Gastroesophageal reflux disease and risk of cancer: Findings from the Korean National Health Screening Cohort
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Cancer Medicine.2023; 12(18): 19163. CrossRef - Short-term efficacy of additional laparoscopic-assisted radical gastrectomy after non-curative endoscopic submucosal dissection for early gastric cancer
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Langenbeck's Archives of Surgery.2023;[Epub] CrossRef - A Phase 3 Randomized Clinical Trial to Compare Efficacy and Safety between Combination Therapy and Monotherapy in Elderly Patients with Advanced Gastric Cancer (KCSG ST13-10)
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Cancer Management and Research.2023; Volume 15: 1111. CrossRef - Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM
Seungyeon Joe, Miseon Lee, Jun Kang, Joori Kim, Sook-Hee Hong, Sung Jong Lee, Keun Ho Lee, Ahwon Lee
Cancers.2023; 15(19): 4899. CrossRef - Diagnostic performance and prognostic value of CT-defined visceral pleural invasion in early-stage lung adenocarcinomas
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European Radiology.2023; 34(3): 1934. CrossRef - Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopathological features: a retrospective dual-institutional study
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European Radiology.2023; 34(5): 3431. CrossRef - Gastric Cancer Incidence and Mortality After Endoscopic Resection of Gastric Adenoma: A Nationwide Cohort Study
Jae Myung Park, Songhee Cho, Ga-Yeong Shin, Jayoun Lee, Minjee Kim, Hyeon Woo Yim
American Journal of Gastroenterology.2023; 118(12): 2166. CrossRef - Comparison of complications between laparoscopic and open gastrectomies for early gastric cancer by a nationwide propensity score-matched cohort study
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Scientific Reports.2023;[Epub] CrossRef - Comparative Risk of Type 2 Diabetes after Gastrectomy and Endoscopic Resection for Gastric Cancer: A Nationwide Cohort Study
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Journal of the American College of Surgeons.2023; 237(6): 902. CrossRef - Mammographic Breast Density and Risk of Ovarian Cancer in Korean Women
Thi Xuan Mai Tran, Soyeoun Kim, Boyoung Park
Cancer Epidemiology, Biomarkers & Prevention.2023; 32(12): 1690. CrossRef - Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs
Taehee Lee, Su Yeon Ahn, Jihang Kim, Jong Sun Park, Byoung Soo Kwon, Sun Mi Choi, Jin Mo Goo, Chang Min Park, Ju Gang Nam
European Radiology.2023; 34(7): 4206. CrossRef - How should the healthcare system support cancer survivors? Survivors’ and health professionals’ expectations and perception on comprehensive cancer survivorship care in Korea: a qualitative study
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BMC Cancer.2023;[Epub] CrossRef - Parental intention to vaccinate daughters with the human papillomavirus vaccine in Korea: a nationwide cross-sectional survey
Yejin Ha, Kyeongmin Lee, Bomi Park, Mina Suh, Jae Kwan Jun, Kui Son Choi
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Xuan Quy Luu, Kyeongmin Lee, Jae Kwan Jun, Mina Suh, Kui Son Choi
Epidemiology and Health.2023; : e2023086. CrossRef - Riboflavin intake, MTRR genetic polymorphism (rs1532268) and gastric cancer risk in a Korean population: a case–control study
Y-Thanh Lu, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
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Epidemiology and Health.2022; 44: e2022111. CrossRef - Post-Diagnostic Statin Use Reduces Mortality in South Korean Patients with Dyslipidemia and Gastrointestinal Cancer
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Journal of Clinical Medicine.2021; 10(11): 2361. CrossRef - Diagnostic workup and indications for antireflux surgery
Hyoung-Il Kim
Foregut Surgery.2021; 1(2): 13. CrossRef - Quercetin Induces Anticancer Activity by Upregulating Pro-NAG-1/GDF15 in Differentiated Thyroid Cancer Cells
Yukyung Hong, Jaehak Lee, Hyunjin Moon, Chang H. Ryu, Jungirl Seok, Yuh-Seog Jung, Junsun Ryu, Seung J. Baek
Cancers.2021; 13(12): 3022. CrossRef - Practical issues and research trends of oncofertility in gynecologic cancer
Jeong-Yeol Park
Korean Journal of Women Health Nursing.2021; 27(2): 64. CrossRef - Clinicopathologic and Prognostic Association of GRP94 Expression in Colorectal Cancer with Synchronous and Metachronous Metastases
Sumi Yun, Sukmook Lee, Ho-Young Lee, Hyeon Jeong Oh, Yoonjin Kwak, Hye Seung Lee
International Journal of Molecular Sciences.2021; 22(13): 7042. CrossRef - Association between bacteria other than Helicobacter pylori and the risk of gastric cancer
Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young‐Il Kim, Jeongseon Kim
Helicobacter.2021;[Epub] CrossRef - The Associations of Dietary Iron Intake and the Transferrin Receptor (TFRC) rs9846149 Polymorphism with the Risk of Gastric Cancer: A Case–Control Study Conducted in Korea
Tao Thi Tran, Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
Nutrients.2021; 13(8): 2600. CrossRef - Disparities in Cancer-Related Avoidable Mortality by the Level of Area Deprivation in South Korea
Woorim Kim, Seongkyeong Jang, Gangeun Lee, Yoon Jung Chang
International Journal of Environmental Research and Public Health.2021; 18(15): 7856. CrossRef - Cancer Patients’ Willingness to Take COVID-19 Vaccination: A Nationwide Multicenter Survey in Korea
June Young Chun, Se Ik Kim, Eun Young Park, Sang-Yoon Park, Su-Jin Koh, Yongjun Cha, Heon Jong Yoo, Jae Young Joung, Hong Man Yoon, Bang Wool Eom, Chul Min Park, Ji-Youn Han, Miso Kim, Dae-Won Lee, Jae-Weon Kim, Bhumsuk Keam, Maria Lee, Tae Min Kim, Young
Cancers.2021; 13(15): 3883. CrossRef - Effect of the Interaction between Dietary Patterns and the Gastric Microbiome on the Risk of Gastric Cancer
Madhawa Gunathilake, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
Nutrients.2021; 13(8): 2692. CrossRef - Prognostic Value of the Anatomic Region of Metastatic Lymph Nodes in the Current TNM Staging of Gastric Cancer
Oh Jeong, Mi Ran Jung, Ji Hoon Kang
Journal of Gastric Cancer.2021; 21(3): 236. CrossRef - Investigation of Information Acquisition Channel for Prostate Cancer High-Risk Group
Yun-Sok Ha, Kwang Taek Kim, Wook Nam, Hongzoo Park, Sangjun Yoo, Chan Ho Lee, Ho Seok Chung, Woo Suk Choi, Jiyoun Kim, Jaeeun Shin, Jeong Hyun Kim, Cheol Kwak
The Korean Journal of Urological Oncology.2021; 19(3): 174. CrossRef - An update on immunotherapy with PD-1 and PD-L1 blockade
Sung Ae Koh
Yeungnam University Journal of Medicine.2021; 38(4): 308. CrossRef - Impact of Computed Tomography-Based, Artificial Intelligence-Driven Volumetric Sarcopenia on Survival Outcomes in Early Cervical Cancer
Qingling Han, Se Ik Kim, Soon Ho Yoon, Taek Min Kim, Hyun-Cheol Kang, Hak Jae Kim, Jeong Yeon Cho, Jae-Weon Kim
Frontiers in Oncology.2021;[Epub] CrossRef - Salvage radiation therapy for postoperative locoregionally recurrent non-small cell lung cancer: a single-center experience
Yoon Young Jo, Su Ssan Kim, Si Yeol Song, Eun Kyung Choi
Radiation Oncology Journal.2021; 39(3): 210. CrossRef - Korean Gastric Cancer Association-Led Nationwide Survey on Surgically Treated Gastric Cancers in 2019
Journal of Gastric Cancer.2021; 21(3): 221.
CrossRef - MNNG-Regulated Differentially Expressed Genes that Contribute to Cancer Development in Stomach Cells
Tae-Jin Kim, Myeong-Kwan Kim, Dongju Jung
Korean Journal of Clinical Laboratory Science.2021; 53(4): 353. CrossRef - Twenty-year incidence trend of hematologic malignancies in the Republic of Korea: 1999-2018
Won-Ju Park, Joo-heon Park, Seunghyeon Cho, Myung Geun Shin
BLOOD RESEARCH.2021; 56(4): 301. CrossRef - Vitexin Inhibits Gastric Cancer Growth and Metastasis through HMGB1-mediated Inactivation of the PI3K/AKT/mTOR/HIF-1α Signaling Pathway
Peng Zhou, Zi-Han Zheng, Tao Wan, Jie Wu, Chuan-Wen Liao, Xue-Jun Sun
Journal of Gastric Cancer.2021; 21(4): 439. CrossRef - Lymph Node Ratio as a Good Prognostic Factor for Patients with Pathologic N3a Breast Cancer with 10 or More Metastatic Axillary Lymph Nodes
Seo Won Jung, Soo Young Lim, Yong Min Na, Young Jae Ryu, Jin Seong Cho, Jung Han Yoon, Min Ho Park
Journal of Breast Disease.2021; 9(2): 56. CrossRef - Analysis of Clinicopathological Features and Risk Factors for Severe Complications after Gastrectomy for Gastric Cancer in Elderly Patients
Feng Zhao, In Cho
Soonchunhyang Medical Science.2021; 27(2): 75. CrossRef - Disparities in the Diagnosis, Treatment, and Survival Rate of Cervical Cancer among Women with and without Disabilities
Jin Young Choi, Kyoung Eun Yeob, Seung Hwa Hong, So Young Kim, Eun-Hwan Jeong, Dong Wook Shin, Jong Heon Park, Gil-won Kang, Hak Soon Kim, Jong Hyock Park, Ichiro Kawachi
Cancer Control.2021;[Epub] CrossRef