Endocrinology and Metabolism

Original Articles

Adrenal Gland
Metabolic Subtyping of Adrenal Tumors: Prospective Multi-Center Cohort Study in Korea: Eu Jeong Ku, Chaelin Lee, Jaeyoon Shim, Sihoon Lee, Kyoung-Ah Kim, Sang Wan Kim, Yumie Rhee, Hyo-Jeong Kim, Jung Soo Lim, Choon Hee Chung, Sung Wan Chun, Soon-Jib Yoo, Ohk-Hyun Ryu, Ho Chan Cho, A Ram Hong, Chang Ho Ahn, Jung Hee Kim, Man Ho Choi; Endocrinol Metab. 2021;36(5):1131-1141. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1149

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Background
Conventional diagnostic approaches for adrenal tumors require multi-step processes, including imaging studies and dynamic hormone tests. Therefore, this study aimed to discriminate adrenal tumors from a single blood sample based on the combination of liquid chromatography-mass spectrometry (LC-MS) and machine learning algorithms in serum profiling of adrenal steroids.
Methods
The LC-MS-based steroid profiling was applied to serum samples obtained from patients with nonfunctioning adenoma (NFA, n=73), Cushing’s syndrome (CS, n=30), and primary aldosteronism (PA, n=40) in a prospective multicenter study of adrenal disease. The decision tree (DT), random forest (RF), and extreme gradient boost (XGBoost) were performed to categorize the subtypes of adrenal tumors.
Results
The CS group showed higher serum levels of 11-deoxycortisol than the NFA group, and increased levels of tetrahydrocortisone (THE), 20α-dihydrocortisol, and 6β-hydroxycortisol were found in the PA group. However, the CS group showed lower levels of dehydroepiandrosterone (DHEA) and its sulfate derivative (DHEA-S) than both the NFA and PA groups. Patients with PA expressed higher serum 18-hydroxycortisol and DHEA but lower THE than NFA patients. The balanced accuracies of DT, RF, and XGBoost for classifying each type were 78%, 96%, and 97%, respectively. In receiver operating characteristics (ROC) analysis for CS, XGBoost, and RF showed a significantly greater diagnostic power than the DT. However, in ROC analysis for PA, only RF exhibited better diagnostic performance than DT.
Conclusion
The combination of LC-MS-based steroid profiling with machine learning algorithms could be a promising one-step diagnostic approach for the classification of adrenal tumor subtypes.

Citations

Citations to this article as recorded by

Treating Primary Aldosteronism-Induced Hypertension: Novel Approaches and Future Outlooks
Nathan Mullen, James Curneen, Padraig T Donlon, Punit Prakash, Irina Bancos, Mark Gurnell, Michael C Dennedy
Endocrine Reviews.2024; 45(1): 125. CrossRef
Steroid profiling in adrenal disease
Danni Mu, Dandan Sun, Xia Qian, Xiaoli Ma, Ling Qiu, Xinqi Cheng, Songlin Yu
Clinica Chimica Acta.2024; 553: 117749. CrossRef
Serum and hair steroid profiles in patients with nonfunctioning pituitary adenoma undergoing surgery: A prospective observational study
Seung Shin Park, Yong Hwy Kim, Ho Kang, Chang Ho Ahn, Dong Jun Byun, Man Ho Choi, Jung Hee Kim
The Journal of Steroid Biochemistry and Molecular Biology.2023; 230: 106276. CrossRef
Recent Updates on the Management of Adrenal Incidentalomas
Seung Shin Park, Jung Hee Kim
Endocrinology and Metabolism.2023; 38(4): 373. CrossRef
LC-MS based simultaneous profiling of adrenal hormones of steroids, catecholamines, and metanephrines
Jongsung Noh, Chaelin Lee, Jung Hee Kim, Seung Woon Myung, Man Ho Choi
Journal of Lipid Research.2023; 64(11): 100453. CrossRef
2023 Korean Endocrine Society Consensus Guidelines for the Diagnosis and Management of Primary Aldosteronism
Jeonghoon Ha, Jung Hwan Park, Kyoung Jin Kim, Jung Hee Kim, Kyong Yeun Jung, Jeongmin Lee, Jong Han Choi, Seung Hun Lee, Namki Hong, Jung Soo Lim, Byung Kwan Park, Jung-Han Kim, Kyeong Cheon Jung, Jooyoung Cho, Mi-kyung Kim, Choon Hee Chung
Endocrinology and Metabolism.2023; 38(6): 597. CrossRef
Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer
Aliya Lakhani, Da Hyun Kang, Yea Eun Kang, Junyoung O. Park
Endocrinology and Metabolism.2023; 38(6): 619. CrossRef
Prevalence and Characteristics of Adrenal Tumors in an Unselected Screening Population
Ying Jing, Jinbo Hu, Rong Luo, Yun Mao, Zhixiao Luo, Mingjun Zhang, Jun Yang, Ying Song, Zhengping Feng, Zhihong Wang, Qingfeng Cheng, Linqiang Ma, Yi Yang, Li Zhong, Zhipeng Du, Yue Wang, Ting Luo, Wenwen He, Yue Sun, Fajin Lv, Qifu Li, Shumin Yang
Annals of Internal Medicine.2022; 175(10): 1383. CrossRef

Thyroid
A Multicenter, Randomized, Controlled Trial for Assessing the Usefulness of Suppressing Thyroid Stimulating Hormone Target Levels after Thyroid Lobectomy in Low to Intermediate Risk Thyroid Cancer Patients (MASTER): A Study Protocol: Eun Kyung Lee, Yea Eun Kang, Young Joo Park, Bon Seok Koo, Ki-Wook Chung, Eu Jeong Ku, Ho-Ryun Won, Won Sang Yoo, Eonju Jeon, Se Hyun Paek, Yong Sang Lee, Dong Mee Lim, Yong Joon Suh, Ha Kyoung Park, Hyo-Jeong Kim, Bo Hyun Kim, Mijin Kim, Sun Wook Kim, Ka Hee Yi, Sue K. Park, Eun-Jae Jung, June Young Choi, Ja Seong Bae, Joon Hwa Hong, Kee-Hyun Nam, Young Ki Lee, Hyeong Won Yu, Sujeong Go, Young Mi Kang, MASTER study group; Endocrinol Metab. 2021;36(3):574-581. Published online May 26, 2021; DOI: https://doi.org/10.3803/EnM.2020.943

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Background
Postoperative thyroid stimulating hormone (TSH) suppression therapy is recommended for patients with intermediate- and high-risk differentiated thyroid cancer to prevent the recurrence of thyroid cancer. With the recent increase in small thyroid cancer cases, the extent of resection during surgery has generally decreased. Therefore, questions have been raised about the efficacy and long-term side effects of TSH suppression therapy in patients who have undergone a lobectomy.
Methods
This is a multicenter, prospective, randomized, controlled clinical trial in which 2,986 patients with papillary thyroid cancer are randomized into a high-TSH group (intervention) and a low-TSH group (control) after having undergone a lobectomy. The principle of treatment includes a TSH-lowering regimen aimed at TSH levels between 0.3 and 1.99 μIU/mL in the low-TSH group. The high-TSH group targets TSH levels between 2.0 and 7.99 μIU/mL. The dose of levothyroxine will be adjusted at each visit to maintain the target TSH level. The primary outcome is recurrence-free survival, as assessed by neck ultrasound every 6 to 12 months. Secondary endpoints include disease-free survival, overall survival, success rate in reaching the TSH target range, the proportion of patients with major cardiovascular diseases or bone metabolic disease, the quality of life, and medical costs. The follow-up period is 5 years.
Conclusion
The results of this trial will contribute to establishing the optimal indication for TSH suppression therapy in low-risk papillary thyroid cancer patients by evaluating the benefit and harm of lowering TSH levels in terms of recurrence, metabolic complications, costs, and quality of life.

Citations

Citations to this article as recorded by

Effect of thyroid-stimulating hormone suppression on quality of life in thyroid lobectomy patients: interim analysis of a multicenter, randomized controlled trial in low- to intermediate-risk thyroid cancer patients (MASTER study)
Ja Kyung Lee, Eu Jeong Ku, Su-jin Kim, Woochul Kim, Jae Won Cho, Kyong Yeun Jung, Hyeong Won Yu, Yea Eun Kang, Mijin Kim, Hee Kyung Kim, Junsun Ryu, June Young Choi
Annals of Surgical Treatment and Research.2024; 106(1): 19. CrossRef
Clinical impact of coexistent chronic lymphocytic thyroiditis on central lymph node metastasis in low- to intermediate-risk papillary thyroid carcinoma: The MASTER study
Da Beom Heo, Ho-Ryun Won, Kyung Tae, Yea Eun Kang, Eonju Jeon, Yong Bae Ji, Jae Won Chang, June Young Choi, Hyeong Won Yu, Eu Jeong Ku, Eun Kyung Lee, Mijin Kim, Jun-Ho Choe, Bon Seok Koo
Surgery.2024; 175(4): 1049. CrossRef
Dynamic Changes in Treatment Response af-ter ¹³¹I in Differentiated Thyroid Cancer and Their Relationship with Recurrence Risk Stratification and TNM Staging
璐狄
Advances in Clinical Medicine.2024; 14(03): 1083. CrossRef
ASO Author Reflections: Active Surveillance may be Possible in Patients with T1b Papillary Thyroid Carcinoma Over 55 Years of Age Without High-Risk Features on Preoperative Examinations
Ho-Ryun Won, Eonju Jeon, Da Beom Heo, Jae Won Chang, Minho Shong, Je Ryong Kim, Hyemi Ko, Yea Eun Kang, Hyon-Seung Yi, Ju Hee Lee, Kyong Hye Joung, Ji Min Kim, Younju Lee, Sung-Woo Kim, Young Ju Jeong, Yong Bae Ji, Kyung Tae, Bon Seok Koo
Annals of Surgical Oncology.2023; 30(4): 2254. CrossRef
Outcomes and Trends of Treatments in High‐Risk Differentiated Thyroid Cancer
Arash Abiri, Khodayar Goshtasbi, Sina J. Torabi, Edward C. Kuan, William B. Armstrong, Tjoson Tjoa, Yarah M. Haidar
Otolaryngology–Head and Neck Surgery.2023; 168(4): 745. CrossRef
Current Controversies in Low-Risk Differentiated Thyroid Cancer: Reducing Overtreatment in an Era of Overdiagnosis
Timothy M Ullmann, Maria Papaleontiou, Julie Ann Sosa
The Journal of Clinical Endocrinology & Metabolism.2023; 108(2): 271. CrossRef
Age-Dependent Clinicopathological Characteristics of Patients with T1b Papillary Thyroid Carcinoma: Implications for the Possibility of Active Surveillance
Ho-Ryun Won, Eonju Jeon, Da Beom Heo, Jae Won Chang, Minho Shong, Je Ryong Kim, Hyemi Ko, Yea Eun Kang, Hyon-Seung Yi, Ju Hee Lee, Kyong Hye Joung, Ji Min Kim, Younju Lee, Sung-Woo Kim, Young Ju Jeong, Yong Bae Ji, Kyung Tae, Bon Seok Koo
Annals of Surgical Oncology.2023; 30(4): 2246. CrossRef
Potential impact of obesity on the aggressiveness of low- to intermediate-risk papillary thyroid carcinoma: results from a MASTER cohort study
Mijin Kim, Yae Eun Kang, Young Joo Park, Bon Seok Koo, Eu Jeong Ku, June Young Choi, Eun Kyung Lee, Bo Hyun Kim
Endocrine.2023; 82(1): 134. CrossRef
Differentiated thyroid cancer: a focus on post-operative thyroid hormone replacement and thyrotropin suppression therapy
Benjamin J. Gigliotti, Sina Jasim
Endocrine.2023; 83(2): 251. CrossRef
Thyroid stimulating hormone suppression and recurrence after thyroid lobectomy for papillary thyroid carcinoma
Mi Rye Bae, Sung Hoon Nam, Jong-Lyel Roh, Seung-Ho Choi, Soon Yuhl Nam, Sang Yoon Kim
Endocrine.2022; 75(2): 487. CrossRef
The Concept of Economic Evaluation and Its Application in Thyroid Cancer Research
Kyungsik Kim, Mijin Kim, Woojin Lim, Bo Hyun Kim, Sue K. Park
Endocrinology and Metabolism.2021; 36(4): 725. CrossRef

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