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Mohamed RM, Panthi B, Adrada BE, Boge M, Candelaria RP, Chen H, Guirguis MS, Hunt KK, Huo L, Hwang KP, Korkut A, Litton JK, Moseley TW, Pashapoor S, Patel MM, Reed B, Scoggins ME, Son JB, Thompson A, Tripathy D, Valero V, Wei P, White J, Whitman GJ, Xu Z, Yang W, Yam C, Ma J, Rauch GM. Multiparametric MRI-based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Sci Rep 2024; 14:16073. [PMID: 38992094 PMCID: PMC11239818 DOI: 10.1038/s41598-024-66220-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 06/28/2024] [Indexed: 07/13/2024] Open
Abstract
Triple-negative breast cancer (TNBC) is often treated with neoadjuvant systemic therapy (NAST). We investigated if radiomic models based on multiparametric Magnetic Resonance Imaging (MRI) obtained early during NAST predict pathologic complete response (pCR). We included 163 patients with stage I-III TNBC with multiparametric MRI at baseline and after 2 (C2) and 4 cycles of NAST. Seventy-eight patients (48%) had pCR, and 85 (52%) had non-pCR. Thirty-six multivariate models combining radiomic features from dynamic contrast-enhanced MRI and diffusion-weighted imaging had an area under the receiver operating characteristics curve (AUC) > 0.7. The top-performing model combined 35 radiomic features of relative difference between C2 and baseline; had an AUC = 0.905 in the training and AUC = 0.802 in the testing set. There was high inter-reader agreement and very similar AUC values of the pCR prediction models for the 2 readers. Our data supports multiparametric MRI-based radiomic models for early prediction of NAST response in TNBC.
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Affiliation(s)
- Rania M Mohamed
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bikash Panthi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Beatriz E Adrada
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Medine Boge
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
- Koc University Hospital, Istanbul, Turkey
| | - Rosalind P Candelaria
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Huiqin Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mary S Guirguis
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Kelly K Hunt
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lei Huo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ken-Pin Hwang
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer K Litton
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tanya W Moseley
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sanaz Pashapoor
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Miral M Patel
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Brandy Reed
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marion E Scoggins
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Jong Bum Son
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Debu Tripathy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vicente Valero
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason White
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gary J Whitman
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Zhan Xu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Yang
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA
| | - Clinton Yam
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jingfei Ma
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gaiane M Rauch
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, # 1473, Houston, TX, 77030, USA.
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Yang P, Shen G, Zhang H, Zhang C, Li J, Zhao F, Li Z, Liu Z, Wang M, Zhao J, Zhao Y. Incidence of thyroid dysfunction caused by immune checkpoint inhibitors combined with chemotherapy: A systematic review and meta-analysis. Int Immunopharmacol 2024; 133:111961. [PMID: 38608442 DOI: 10.1016/j.intimp.2024.111961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/05/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND The combination of immune checkpoint inhibitors (ICIs) and chemotherapy as a first-line treatment for triple-negative breast cancer (TNBC) has been associated with many adverse reactions. Thyroid dysfunction, the most common adverse reaction of the endocrine system, has also attracted significant attention. This study aimed to analyse the effect of ICIs combined with chemotherapy on thyroid function in patients with TNBC. METHODS As of November 4, 2023, we searched the PubMed, Web of Science, and Cochrane Library databases for clinical trials of ICIs combined with chemotherapy for the treatment of TNBC. The incidence of hypothyroidism and hyperthyroidism was calculated using a random-effects model. RESULTS In the final analysis, 3,226 patients from 19 studies were included. The total incidence of all-grade hypothyroidism induced by the combination of ICIs and chemotherapy in treating TNBC (12% (95% confidence intervals(CI): 0.10-0.15)) was higher than that of hyperthyroidism (5% (95% CI: 0.04-0.06)). Pembrolizumab combined with chemotherapy caused the highest incidence of all grades of hypothyroidism for 13% (95% CI: 0.05-0.06). Durvalumab combined with chemotherapy caused the highest incidence of all grades of hyperthyroidism, at 7% (95% CI: 0.03-0.11). ICIs combined with chemotherapy caused a higher incidence of all grades of hypothyroidism in advanced TNBC (15% (95% CI: 0.13-0.17)) than in early stage TNBC (10% (95% CI: 0.07-0.13)). CONCLUSION In TNBC, the incidence of hypothyroidism caused by the combination of ICIs and chemotherapy was significantly higher than that caused by hyperthyroidism. Pembrolizumab combined with chemotherapy resulted in the highest incidence of hypothyroidism. The incidence of hypothyroidism in patients with advanced TNBC was significantly higher than that in patients with early stage TNBC. In addition, ICIs combined with chemotherapy resulted in 16 out of 3,226 patients experiencing grade ≥ 3 thyroid dysfunction. Although the incidence of severe thyroid dysfunction is low, it requires attention. PROSPERO CRD42023477933.
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Affiliation(s)
- Ping Yang
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Guoshuang Shen
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Hengheng Zhang
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Chengrong Zhang
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Jinming Li
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Fuxing Zhao
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Zitao Li
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Zhen Liu
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Miaozhou Wang
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Jiuda Zhao
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
| | - Yi Zhao
- The Center of Breast Disease Diagnosis and Treatment of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining 810000, China.
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Van Cauwenberge J, Van Baelen K, Maetens M, Geukens T, Nguyen HL, Nevelsteen I, Smeets A, Deblander A, Neven P, Koolen S, Wildiers H, Punie K, Desmedt C. Reporting on patient's body mass index (BMI) in recent clinical trials for patients with breast cancer: a systematic review. Breast Cancer Res 2024; 26:81. [PMID: 38778365 PMCID: PMC11112918 DOI: 10.1186/s13058-024-01832-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 04/30/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND The proportion of patients with breast cancer and obesity is increasing. While the therapeutic landscape of breast cancer has been expanding, we lack knowledge about the potential differential efficacy of most drugs according to the body mass index (BMI). Here, we conducted a systematic review on recent clinical drug trials to document the dosing regimen of recent drugs, the reporting of BMI and the possible exclusion of patients according to BMI, other adiposity measurements and/or diabetes (leading comorbidity of obesity). We further explored whether treatment efficacy was evaluated according to BMI. METHODS A search of Pubmed and ClinicalTrials.gov was performed to identify phase I-IV trials investigating novel systemic breast cancer treatments. Dosing regimens and exclusion based on BMI, adiposity measurements or diabetes, documentation of BMI and subgroup analyses according to BMI were assessed. RESULTS 495 trials evaluating 26 different drugs were included. Most of the drugs (21/26, 81%) were given in a fixed dose independent of patient weight. BMI was an exclusion criterion in 3 out of 495 trials. Patients with diabetes, the leading comorbidity of obesity, were excluded in 67/495 trials (13.5%). Distribution of patients according to BMI was mentioned in 8% of the manuscripts, subgroup analysis was performed in 2 trials. No other measures of adiposity/body composition were mentioned in any of the trials. Retrospective analyses on the impact of BMI were performed in 6 trials. CONCLUSIONS Patient adiposity is hardly considered as most novel drug treatments are given in a fixed dose. BMI is generally not reported in recent trials and few secondary analyses are performed. Given the prevalence of patients with obesity and the impact obesity can have on pharmacokinetics and cancer biology, more attention should be given by investigators and study sponsors to reporting patient's BMI and evaluating its impact on treatment efficacy and toxicity.
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Affiliation(s)
- Josephine Van Cauwenberge
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Herestraat 49, Box 808, 3000, Louvain, Belgium
- Department of Gynecological Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Karen Van Baelen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Herestraat 49, Box 808, 3000, Louvain, Belgium
- Department of Gynecological Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Marion Maetens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Herestraat 49, Box 808, 3000, Louvain, Belgium
| | - Tatjana Geukens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Herestraat 49, Box 808, 3000, Louvain, Belgium
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Ha Linh Nguyen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Herestraat 49, Box 808, 3000, Louvain, Belgium
| | - Ines Nevelsteen
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Anne Deblander
- Department of Gynecological Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Patrick Neven
- Department of Gynecological Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Stijn Koolen
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
- Department of Hospital Pharmacy, Erasmus MC, Rotterdam, The Netherlands
| | - Hans Wildiers
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Kevin Punie
- Department of Medical Oncology, GZA Hospitals Sint-Augustinus, Wilrijk, Belgium
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Herestraat 49, Box 808, 3000, Louvain, Belgium.
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Xu J, Gan C, Yu S, Yao S, Li W, Cheng H. Analysis of Immune Resistance Mechanisms in TNBC: Dual Effects Inside and Outside the Tumor. Clin Breast Cancer 2024; 24:e91-e102. [PMID: 38016911 DOI: 10.1016/j.clbc.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/30/2023] [Indexed: 11/30/2023]
Abstract
Triple-negative breast cancer (TNBC) is a unique subtype of breast cancer characterized by the lack of expression of the estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2. TNBC exhibits a high degree of aggressiveness, metastatic potential, and a poor prognosis. Despite the limited success of conventional treatments, immune checkpoint inhibitors (ICIs) have emerged as promising therapeutics for TNBC. Therefore, understanding the mechanisms underlying innate and acquired resistance to ICIs in TNBC is essential. Numerous studies suggest that intrinsic and extrinsic factors significantly contribute to the development of ICI resistance in TNBC. Intrinsic resistance may result from alterations in tumor-intrinsic signaling pathways, such as dysregulation of interferon (IFN) signaling or other signaling pathways. In contrast, extratumoral mechanisms may develop due to alterations in the tumor microenvironment, changes in T cell-related factors or adaptations within the immune system itself. In this paper, we endeavor to elucidate the underlying mechanisms of immune resistance by systematically examining immune mechanisms, the present state of immunotherapy, and the processes of immune resistance. Nonetheless, enhancing our understanding of the mechanisms underlying intratumoral and extratumoral resistance to ICIs in TNBC is crucial for optimizing patient outcomes in this challenging disease. Persistent efforts to identify novel targets for combination therapies, biomarkers that can predict the response to immunotherapy, and resistance mechanisms will be instrumental in achieving this objective.
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Affiliation(s)
- Jian Xu
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; The Second Clinical College of Anhui Medical University, Hefei, Anhui, China
| | - Chen Gan
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; The Second Clinical College of Anhui Medical University, Hefei, Anhui, China
| | - Sheng Yu
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; The Second Clinical College of Anhui Medical University, Hefei, Anhui, China
| | - Senbang Yao
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; The Second Clinical College of Anhui Medical University, Hefei, Anhui, China
| | - Wen Li
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; The Second Clinical College of Anhui Medical University, Hefei, Anhui, China
| | - Huaidong Cheng
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Shenzhen Clinical Medical School of Southern Medical University, Shenzhen, Guangdong, China; Department of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
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Chen JJ, Lee TH, Kuo G, Yen CL, Lee CC, Chang CH, Tu KH, Chen YC, Fang JT, Hung CC, Yang CW, Chou WC, Chi CC, Tu YK, Yu Yang H. All-cause and immune checkpoint inhibitor-associated acute kidney injury in immune checkpoint inhibitor users: a meta-analysis of occurrence rate, risk factors and mortality. Clin Kidney J 2024; 17:sfad292. [PMID: 38186874 PMCID: PMC10768773 DOI: 10.1093/ckj/sfad292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Indexed: 01/09/2024] Open
Abstract
Background Immune checkpoint inhibitors (ICIs) have been associated with acute kidney injury (AKI). However, the occurrence rate of ICI-related AKI has not been systematically examined. Additionally, exposure to proton pump inhibitors (PPIs) and non-steroidal anti-inflammatory drugs (NSAIDs) were considered as risk factors for AKI, but with inconclusive results in ICI-related AKI. Our aim was to analyse the occurrence rate of all-cause AKI and ICI-related AKI and the occurrence rates of severe AKI and dialysis-requiring AKI, and to determine whether exposure to PPIs and NSAIDs poses a risk for all-cause and ICI-related AKI. Methods This study population was adult ICI recipients. A systematic review was conducted by searching MEDLINE, Embase and PubMed through October 2023. We included prospective trials and observational studies that reported any of the following outcomes: the occurrence rate of all-cause or ICI-related AKI, the relationship between PPI or NSAID exposure and AKI development or the mortality rate in the AKI or non-AKI group. Proportional meta-analysis and pairwise meta-analysis were performed. The evidence certainty was assessed using the Grading of Recommendations Assessment, Development and Evaluation framework. Results A total of 120 studies comprising 46 417 patients were included. The occurrence rates of all-cause AKI were 7.4% (14.6% from retrospective studies and 1.2% from prospective clinical trials). The occurrence rate of ICI-related AKI was 3.2%. The use of PPIs was associated with an odds ratio (OR) of 1.77 [95% confidence interval (CI) 1.43-2.18] for all-cause AKI and an OR of 2.42 (95% CI 1.96-2.97) for ICI-related AKI. The use of NSAIDs was associated with an OR of 1.77 (95% CI 1.10-2.83) for all-cause AKI and an OR of 2.57 (95% CI 1.68-3.93) for ICI-related AKI. Conclusions Our analysis revealed that approximately 1 in 13 adult ICI recipients may experience all-cause AKI, while 1 in 33 adult ICI recipients may experience ICI-related AKI. Exposure to PPIs and NSAIDs was associated with an increased OR risk for AKI in the current meta-analysis.
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Affiliation(s)
- Jia-Jin Chen
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Tao-Han Lee
- Nephrology Department, Chansn Hospital, Taoyuan City, Taiwan
| | - George Kuo
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chieh-Li Yen
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Cheng-Chia Lee
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chih-Hsiang Chang
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Kun-Hua Tu
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Yung-Chang Chen
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Ji-Tseng Fang
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Cheng-Chieh Hung
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chih-Wei Yang
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Wen-Chi Chou
- Department of Hematology and Oncology, Chang Gung Memorial Hospital in Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ching-Chi Chi
- School of Medicine, College of Medicine, Chang Gung University; Department of Dermatology, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan
| | - Yu-Kang Tu
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Huang- Yu Yang
- Kidney Research Center, Nephrology Department, Chang Gung Memorial Hospital in Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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