1.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
2.Therapeutic effects of surgical debulking of metastatic lymph nodes in cervical cancer IIICr: a trial protocol for a phase III, multicenter, randomized controlled study (KGOG1047/DEBULK trial)
Bo Seong YUN ; Kwang-Beom LEE ; Keun Ho LEE ; Ha Kyun CHANG ; Joo-Young KIM ; Myong Cheol LIM ; Chel Hun CHOI ; Hanbyoul CHO ; Dae-Yeon KIM ; Yun Hwan KIM ; Joong Sub CHOI ; Chae Hyeong LEE ; Jae-Weon KIM ; Sang Wun KIM ; Yong Bae KIM ; Chi-Heum CHO ; Dae Gy HONG ; Yong Jung SONG ; Seob JEON ; Min Kyu KIM ; Dae Hoon JEONG ; Hyun PARK ; Seok Mo KIM ; Sang-Il PARK ; Jae-Yun SONG ; Asima MUKHOPADHYAY ; Dang Huy Quoc THINH ; Nirmala Chandralega KAMPAN ; Grace J. LEE ; Jae-Hoon KIM ; Keun-Yong EOM ; Ju-Won ROH
Journal of Gynecologic Oncology 2024;35(5):e57-
Background:
Bulky or multiple lymph node (LN) metastases are associated with poor prognosis in cervical cancer, and the size or number of LN metastases is not yet reflected in the staging system and therapeutic strategy. Although the therapeutic effects of surgical resection of bulky LNs before standard treatment have been reported in several retrospective studies, wellplanned randomized clinical studies are lacking. Therefore, the aim of the Korean Gynecologic Oncology Group (KGOG) 1047/DEBULK trial is to investigate whether the debulking surgery of bulky or multiple LNs prior to concurrent chemoradiation therapy (CCRT) improves the survival rate of patients with cervical cancer IIICr diagnosed by imaging tests.
Methods
The KGOG 1047/DEBULK trial is a phase III, multicenter, randomized clinical trial involving patients with bulky or multiple LN metastases in cervical cancer IIICr. This study will include patients with a short-axis diameter of a pelvic or para-aortic LN ≥2 cm or ≥3 LNs with a short-axis diameter ≥1 cm and for whom CCRT is planned. The treatment arms will be randomly allocated in a 1:1 ratio to either receive CCRT (control arm) or undergo surgical debulking of bulky or multiple LNs before CCRT (experimental arm). CCRT consists of extended-field external beam radiotherapy/pelvic radiotherapy, brachytherapy and LN boost, and weekly chemotherapy with cisplatin (40 mg/m 2 ), 4–6 times administered intravenously.The primary endpoint will be 3-year progression-free survival rate. The secondary endpoints will be 3-year overall survival rate, treatment-related complications, and accuracy of radiological diagnosis of bulky or multiple LNs.
3.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
4.Therapeutic effects of surgical debulking of metastatic lymph nodes in cervical cancer IIICr: a trial protocol for a phase III, multicenter, randomized controlled study (KGOG1047/DEBULK trial)
Bo Seong YUN ; Kwang-Beom LEE ; Keun Ho LEE ; Ha Kyun CHANG ; Joo-Young KIM ; Myong Cheol LIM ; Chel Hun CHOI ; Hanbyoul CHO ; Dae-Yeon KIM ; Yun Hwan KIM ; Joong Sub CHOI ; Chae Hyeong LEE ; Jae-Weon KIM ; Sang Wun KIM ; Yong Bae KIM ; Chi-Heum CHO ; Dae Gy HONG ; Yong Jung SONG ; Seob JEON ; Min Kyu KIM ; Dae Hoon JEONG ; Hyun PARK ; Seok Mo KIM ; Sang-Il PARK ; Jae-Yun SONG ; Asima MUKHOPADHYAY ; Dang Huy Quoc THINH ; Nirmala Chandralega KAMPAN ; Grace J. LEE ; Jae-Hoon KIM ; Keun-Yong EOM ; Ju-Won ROH
Journal of Gynecologic Oncology 2024;35(5):e57-
Background:
Bulky or multiple lymph node (LN) metastases are associated with poor prognosis in cervical cancer, and the size or number of LN metastases is not yet reflected in the staging system and therapeutic strategy. Although the therapeutic effects of surgical resection of bulky LNs before standard treatment have been reported in several retrospective studies, wellplanned randomized clinical studies are lacking. Therefore, the aim of the Korean Gynecologic Oncology Group (KGOG) 1047/DEBULK trial is to investigate whether the debulking surgery of bulky or multiple LNs prior to concurrent chemoradiation therapy (CCRT) improves the survival rate of patients with cervical cancer IIICr diagnosed by imaging tests.
Methods
The KGOG 1047/DEBULK trial is a phase III, multicenter, randomized clinical trial involving patients with bulky or multiple LN metastases in cervical cancer IIICr. This study will include patients with a short-axis diameter of a pelvic or para-aortic LN ≥2 cm or ≥3 LNs with a short-axis diameter ≥1 cm and for whom CCRT is planned. The treatment arms will be randomly allocated in a 1:1 ratio to either receive CCRT (control arm) or undergo surgical debulking of bulky or multiple LNs before CCRT (experimental arm). CCRT consists of extended-field external beam radiotherapy/pelvic radiotherapy, brachytherapy and LN boost, and weekly chemotherapy with cisplatin (40 mg/m 2 ), 4–6 times administered intravenously.The primary endpoint will be 3-year progression-free survival rate. The secondary endpoints will be 3-year overall survival rate, treatment-related complications, and accuracy of radiological diagnosis of bulky or multiple LNs.
5.Occupation classification model based on DistilKoBERT: using the 5th and 6th Korean Working Condition Surveys
Tae-Yeon KIM ; Seong-Uk BAEK ; Myeong-Hun LIM ; Byungyoon YUN ; Domyung PAEK ; Kyung Ehi ZOH ; Kanwoo YOUN ; Yun Keun LEE ; Yangho KIM ; Jungwon KIM ; Eunsuk CHOI ; Mo-Yeol KANG ; YoonHo CHO ; Kyung-Eun LEE ; Juho SIM ; Juyeon OH ; Heejoo PARK ; Jian LEE ; Jong-Uk WON ; Yu-Min LEE ; Jin-Ha YOON
Annals of Occupational and Environmental Medicine 2024;36(1):e19-
Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT. This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics. The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset. This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health.
6.Therapeutic effects of surgical debulking of metastatic lymph nodes in cervical cancer IIICr: a trial protocol for a phase III, multicenter, randomized controlled study (KGOG1047/DEBULK trial)
Bo Seong YUN ; Kwang-Beom LEE ; Keun Ho LEE ; Ha Kyun CHANG ; Joo-Young KIM ; Myong Cheol LIM ; Chel Hun CHOI ; Hanbyoul CHO ; Dae-Yeon KIM ; Yun Hwan KIM ; Joong Sub CHOI ; Chae Hyeong LEE ; Jae-Weon KIM ; Sang Wun KIM ; Yong Bae KIM ; Chi-Heum CHO ; Dae Gy HONG ; Yong Jung SONG ; Seob JEON ; Min Kyu KIM ; Dae Hoon JEONG ; Hyun PARK ; Seok Mo KIM ; Sang-Il PARK ; Jae-Yun SONG ; Asima MUKHOPADHYAY ; Dang Huy Quoc THINH ; Nirmala Chandralega KAMPAN ; Grace J. LEE ; Jae-Hoon KIM ; Keun-Yong EOM ; Ju-Won ROH
Journal of Gynecologic Oncology 2024;35(5):e57-
Background:
Bulky or multiple lymph node (LN) metastases are associated with poor prognosis in cervical cancer, and the size or number of LN metastases is not yet reflected in the staging system and therapeutic strategy. Although the therapeutic effects of surgical resection of bulky LNs before standard treatment have been reported in several retrospective studies, wellplanned randomized clinical studies are lacking. Therefore, the aim of the Korean Gynecologic Oncology Group (KGOG) 1047/DEBULK trial is to investigate whether the debulking surgery of bulky or multiple LNs prior to concurrent chemoradiation therapy (CCRT) improves the survival rate of patients with cervical cancer IIICr diagnosed by imaging tests.
Methods
The KGOG 1047/DEBULK trial is a phase III, multicenter, randomized clinical trial involving patients with bulky or multiple LN metastases in cervical cancer IIICr. This study will include patients with a short-axis diameter of a pelvic or para-aortic LN ≥2 cm or ≥3 LNs with a short-axis diameter ≥1 cm and for whom CCRT is planned. The treatment arms will be randomly allocated in a 1:1 ratio to either receive CCRT (control arm) or undergo surgical debulking of bulky or multiple LNs before CCRT (experimental arm). CCRT consists of extended-field external beam radiotherapy/pelvic radiotherapy, brachytherapy and LN boost, and weekly chemotherapy with cisplatin (40 mg/m 2 ), 4–6 times administered intravenously.The primary endpoint will be 3-year progression-free survival rate. The secondary endpoints will be 3-year overall survival rate, treatment-related complications, and accuracy of radiological diagnosis of bulky or multiple LNs.
7.A Phase II Trial of Nintedanib in Patients with Metastatic or Recurrent Head and Neck Squamous Cell Carcinoma: In-Depth Analysis of Nintedanib Arm from the KCSG HN 15-16 TRIUMPH Trial
Kyoo Hyun KIM ; Sun Min LIM ; Hee Kyung AHN ; Yun-Gyoo LEE ; Keun-Wook LEE ; Myung-Ju AHN ; Bhumsuk KEAM ; Hye Ryun KIM ; Hyun Woo LEE ; Ho Jung AN ; Jin-Soo KIM
Cancer Research and Treatment 2024;56(1):37-47
Purpose:
Precision oncology approach for recurrent and metastatic head and neck squamous cell carcinoma (HNSCC) is necessary due to its dismal prognosis. We performed a genomic profile-based umbrella trial of patients with platinum-refractory HNSCC (KCSG-TRIUMPH). Here, we present an in-depth report of the the nintedanib arm (arm 3) of the current trial.
Materials and Methods:
The TRIUMPH study was a multicenter, open-label, single-arm phase 2 trial, in which patients were assigned to treatment arms based on next-generation sequencing (NGS)–based, matching genomic profiles. Patients whose tumors harbor fibroblast growth factor receptor (FGFR) alteration were enrolled in the nintedanib arm (arm 3) as part of the TRIUMPH study. The primary endpoint was the overall response rate (ORR), and secondary endpoints included overall survival (OS), progression-free survival (PFS), safety, and biomarker analysis.
Results:
Between October 2017 and August 2020, 207 were enrolled in the TRIUMPH study, and eight were enrolled in the nintedanib arm. ORR and disease control rate were 42.9% and 57.1%, respectively. The median PFS was 5.6 months and the median duration of response was 9.1 months. Median OS was 11.1 months. One patient maintained the partial response for 36 months. Overall, the toxicity profiles were manageable.
Conclusion
Single-agent nintedanib has demonstrated significant efficacy in FGFR-mutated, recurrent or metastatic HNSCC patients, with tolerable toxicity profiles. The results from the study have provided the basis for routine NGS screening and FGFR-targeted therapy. Because of the small number of patients due to slow accrual in this study, further studies with a larger cohort are warranted for statistical power.
8.Molecular and serological surveillance of equine piroplasmosis in the Republic of Korea between 2016 and 2017
Hyun-Ji SEO ; Keun-Ho KIM ; Sang Kyu LEE ; Subin MIN ; Ji-Yeon LIM ; Sun-Joo YANG ; Mi-Sun YOO ; Sukchan JUNG ; Soon-Seek YOON ; Yun Sang CHO
Korean Journal of Veterinary Research 2021;61(1):e4-
Equine piroplasmosis (EP) is caused by Babesia caballi and Theileria equi infection. We investigated antigen and antibody of EP in horses in the Republic of Korea during 2016-2017. Antigen and antibody of T. equi was detected 0.06% (1/1,650). Phylogenetic analysis of 18S rRNA revealed that the T. equi was highly homologous with the strains from China, Mongolia, and Spain. Two Theileria spp. were also detected and highly homologous with T. buffeli, T. luwehshuni, and T. orientalis.
9.Molecular and serological surveillance of equine piroplasmosis in the Republic of Korea between 2016 and 2017
Hyun-Ji SEO ; Keun-Ho KIM ; Sang Kyu LEE ; Subin MIN ; Ji-Yeon LIM ; Sun-Joo YANG ; Mi-Sun YOO ; Sukchan JUNG ; Soon-Seek YOON ; Yun Sang CHO
Korean Journal of Veterinary Research 2021;61(1):e4-
Equine piroplasmosis (EP) is caused by Babesia caballi and Theileria equi infection. We investigated antigen and antibody of EP in horses in the Republic of Korea during 2016-2017. Antigen and antibody of T. equi was detected 0.06% (1/1,650). Phylogenetic analysis of 18S rRNA revealed that the T. equi was highly homologous with the strains from China, Mongolia, and Spain. Two Theileria spp. were also detected and highly homologous with T. buffeli, T. luwehshuni, and T. orientalis.
10.Investigating the Feasibility of Targeted Next-Generation Sequencing to Guide the Treatment of Head and Neck Squamous Cell Carcinoma.
Sun Min LIM ; Sang Hee CHO ; In Gyu HWANG ; Jae Woo CHOI ; Hyun CHANG ; Myung Ju AHN ; Keon Uk PARK ; Ji Won KIM ; Yoon Ho KO ; Hee Kyung AHN ; Byoung Chul CHO ; Byung Ho NAM ; Sang Hoon CHUN ; Ji Hyung HONG ; Jung Hye KWON ; Jong Gwon CHOI ; Eun Joo KANG ; Tak YUN ; Keun Wook LEE ; Joo Hang KIM ; Jin Soo KIM ; Hyun Woo LEE ; Min Kyoung KIM ; Dongmin JUNG ; Ji Eun KIM ; Bhumsuk KEAM ; Hwan Jung YUN ; Sangwoo KIM ; Hye Ryun KIM
Cancer Research and Treatment 2019;51(1):300-312
PURPOSE: Head and neck squamous cell carcinoma (HNSCC) is a deadly disease in which precision medicine needs to be incorporated. We aimed to implement next-generation sequencing (NGS) in determining actionable targets to guide appropriate molecular targeted therapy in HNSCC patients. MATERIALS AND METHODS: Ninety-three tumors and matched blood samples underwent targeted sequencing of 244 genes using the Illumina HiSeq 2500 platform with an average depth of coverage of greater than 1,000×. Clinicopathological data from patients were obtained from 17 centers in Korea, and were analyzed in correlation with NGS data. RESULTS: Ninety-two of the 93 tumors were amenable to data analysis. TP53 was the most common mutation, occurring in 47 (51%) patients, followed by CDKN2A (n=23, 25%), CCND1 (n=22, 24%), and PIK3CA (n=19, 21%). The total mutational burden was similar between human papillomavirus (HPV)–negative vs. positive tumors, although TP53, CDKN2A and CCND1 gene alterations occurred more frequently in HPV-negative tumors. HPV-positive tumors were significantly associated with immune signature-related genes compared to HPV-negative tumors. Mutations of NOTCH1 (p=0.027), CDKN2A (p < 0.001), and TP53 (p=0.038) were significantly associated with poorer overall survival. FAT1 mutations were highly enriched in cisplatin responders, and potentially targetable alterations such as PIK3CA E545K and CDKN2A R58X were noted in 14 patients (15%). CONCLUSION: We found several targetable genetic alterations, and our findings suggest that implementation of precision medicine in HNSCC is feasible. The predictive value of each targetable alteration should be assessed in a future umbrella trial using matched molecular targeted agents.
Biomarkers
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Carcinoma, Squamous Cell*
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Cisplatin
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Epithelial Cells*
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Head*
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Humans
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Korea
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Molecular Targeted Therapy
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Neck*
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Precision Medicine
;
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