1.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):301-314
Background:
In this study, we presented the national cancer statistics on the incidence of hematologic malignancies in the Republic of Korea (ROK) over a period of 20 years, from 1999 to 2018.
Methods:
We obtained data on the incidence of hematologic malignancies using the Korean Statistical Information Service (KOSIS). For each hematologic malignancy, the number of cases, crude incidence rate, and age-standardized incidence rate were calculated, and the statistical trends were confirmed by Poisson regression and Joinpoint regression analysis.
Results:
All the investigated hematologic malignancies showed a statistically significant increase in incidence over 20 years. The 20-year trend of the age-standardized incidence rate was as follows: non-Hodgkin lymphoma [average annual percent change (AAPC)=2.26%, P-trend <0.05], leukemia (AAPC=0.94%, P-trend <0.05), myeloid leukemia (AAPC=1.44%, P-trend <0.05), multiple myeloma (AAPC=3.05%, P-trend <0.05), myeloproliferative disorders (AAPC=9.87%, P-trend <0.05), myelodysplastic syndrome (AAPC=7.59%, P-trend <0.05), malignant immunoproliferative diseases (AAPC=11.82%, P-trend <0.05), lymphoid leukemia (AAPC=2.21%, P-trend <0.05), and Hodgkin lymphoma (AAPC=4.04%, P <0.05).
Conclusion
It was confirmed that the incidence of hematologic malignancies has increased significantly in the ROK over the past 20 years. This study can be used as foundational data source for future studies. In addition, it can aid in the necessary actions of predicting future incidences and establishing future healthcare policies.
2.Prognostic Value of Tumor-to-Blood Standardized Uptake Ratio in Patients with Resectable Non-Small-Cell Lung Cancer
Seunghyeon SHIN ; Kyoungjune PAK ; In Joo KIM ; Bum Soo KIM ; Seong Jang KIM
Korean Journal of Nuclear Medicine 2017;51(3):233-239
OBJECTIVES: Previously published studies showed that the standard tumor-to-blood standardized uptake value (SUV) ratio (SUR) was a more accurate prognostic method than tumor maximum standardized uptake value (SUV(max)). This study evaluated and compared prognostic value of positron emission tomography (PET) parameters and normalized value of PET parameters by blood pool SUV in non-small-cell lung cancer (NSCLC) patients who received curative surgery.METHODS: Seventy-seven patients who underwent curative resection for NSCLC between January 2010 to December 2013 were enrolled in this study. ¹⁸Fluorine-fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography/computed tomography (PET/CT) was performed before surgery. The mean standardized uptake value (SUV(mean)), SUV(max), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of each lesion was measured, on the workstation. SUR(mean), SUR(max), and TLGSUR were calculated by dividing each of them by descending aorta SUV(mean). Cox proportional hazards regression was used to analyze the effect of age, sex, pathological parameters, and PET parameters on recurrence and death.RESULTS: In Cox regression analysis, N stage predicted for both recurrence (p < 0.0001) and death (p < 0.0001). SUR(max) predicted recurrence (p = 0.0014), not death. Area under the receiver operating characteristic curve of SUR(max) was 0.759 with cutoff value 4.004. However, SUV(max), SUV(mean), MTV, TLG, SUR(mean), and TLGSUR predicted neither recurrence nor death.CONCLUSIONS: Among PET parameters, SUR(max) was the independent predictor of recurrence in NSCLC patients who received curative surgery. N stage was the independent prognostic factor for both recurrence and death. Both parameters could be used to stratify the risk of NSCLC patients.
Aorta, Thoracic
;
Electrons
;
Fluorodeoxyglucose F18
;
Glycolysis
;
Humans
;
Lung Neoplasms
;
Lung
;
Methods
;
Positron-Emission Tomography
;
Prognosis
;
Recurrence
;
ROC Curve
;
Tumor Burden
3.Effect of Single-Nucleotide Polymorphisms on Decline of Dopamine Transporter Availability in Parkinson's Disease.
Seunghyeon SHIN ; Keunyoung KIM ; Jae Meen LEE ; Eun Joo KIM ; Seong Jang KIM ; In Joo KIM ; Kyoungjune PAK ; Myung Jun LEE
Journal of Clinical Neurology 2019;15(1):102-107
BACKGROUND AND PURPOSE: We aimed to determine the association between the annual changes in dopamine transporter (DAT) availability as measured by 123I-ioflupane (123I-FP-CIT) single-photon-emission computed tomography and single-nucleotide polymorphisms (SNPs) known to be risk factors in Parkinson's disease (PD). METHODS: In total, 150 PD patients were included from the Parkinson's Progression Markers Initiative database. Specific SNPs that are associated with PD were selected for genotyping. SNPs that were not in Hardy-Weinberg equilibrium or whose minor allele frequency was less than 0.05 were excluded. Twenty-three SNPs met the inclusion criteria for this study. The Kruskal-Wallis test was used to compare annual percentage changes in DAT availability for three subgroups of SNP. RESULTS: None of the 23 SNPs exerted a statistically significant effect (p < 0.0022) on the decline of DAT availability in PD patients. However, we observed trends of association (p < 0.05) between three SNPs of two genes with the annual percentage change in DAT availability: 1) rs199347 on the putamen (p=0.0138), 2) rs356181 on the caudate nucleus (p=0.0105), and 3) rs3910105 on the caudate nucleus (p=0.0374). A post-hoc analysis revealed that DAT availability was reduced the most for 1) the putamen in the CC genotype of rs199347 (vs. CT, p=0.0199; vs. TT, p=0.0164), 2) the caudate nucleus in the TT genotype of rs356181 (vs. CC, p=0.0081), and 3) the caudate nucleus in the CC genotype of rs3910105 (vs. TT, p=0.0317). CONCLUSIONS: Significant trends in the associations between three SNPs and decline of DAT availability in PD patients have been discovered.
Caudate Nucleus
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Dopamine Plasma Membrane Transport Proteins*
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Dopamine*
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Gene Frequency
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Genotype
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Humans
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Parkinson Disease*
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Polymorphism, Single Nucleotide
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Putamen
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Risk Factors
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Tomography, Emission-Computed, Single-Photon
4.Effects of Thyrotropin Suppression on Bone Health in Menopausal Women with Total Thyroidectomy
Eun Heui KIM ; Yun Kyung JEON ; Kyoungjune PAK ; In Joo KIM ; Seong Jang KIM ; Seunghyeon SHIN ; Bo Hyun KIM ; Sang Soo KIM ; Byung Joo LEE ; Jeong Gyu LEE ; Tae Sik GOH ; Keunyoung KIM
Journal of Bone Metabolism 2019;26(1):31-38
BACKGROUND: This study examined the change in the trabecular bone score (TBS), areal bone mineral density (aBMD), and osteoporosis in postmenopausal women who underwent thyrotropin (TSH)-suppressive therapy for treating papillary thyroid cancer after a total thyroidectomy procedure. METHODS: We evaluated 36 postmenopausal women who received a total thyroidectomy for papillary thyroid cancer and were undergoing TSH suppressive therapy with levothyroxine. Postmenopausal women (n=94) matched for age and body mass index were recruited as healthy controls. The aBMD and TBS of the lumbar spine were compared between dual energy X-ray absorptiometry (DXA) at baseline and at follow-up after an average of 4.92 years. RESULTS: There was no significant difference in the rate of diagnoses of osteoporosis, osteopenia, or normal bone status between the 2 groups during the baseline DXA evaluation. However, the TBS was significantly lower whereas aBMD did not show significant difference at the time of baseline DXA measurement (1st DXA, 1.343±0.098 vs. 1.372±0.06317, P < 0.001; 2nd DXA, 1.342±0.095 vs. 1.370±0.062, P < 0.001). The TBS and aBMD did not differ significantly between the initial and follow-up DXA images in both groups of TSH suppressive patients and controls. CONCLUSIONS: The average value of TBS and aBMD did not significantly change during the follow-up period. The TSH suppressive therapy was revealed as not a significant factor for the progressive deterioration of bone status during long term follow-up.
Absorptiometry, Photon
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Body Mass Index
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Bone Density
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Bone Diseases, Metabolic
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Diagnosis
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Female
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Follow-Up Studies
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Humans
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Osteoporosis
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Postmenopause
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Spine
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Thyroid Neoplasms
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Thyroidectomy
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Thyrotropin
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Thyroxine