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Zhao Z, Xu L. Prognostic significance of HALP score and combination of peripheral blood multiple indicators in patients with early breast cancer. Front Oncol 2023; 13:1253895. [PMID: 38188308 PMCID: PMC10768851 DOI: 10.3389/fonc.2023.1253895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/31/2023] [Indexed: 01/09/2024] Open
Abstract
Background To assess the prognostic significance of preoperative hemoglobin, albumin, lymphocyte, and platelet (HALP) score combined with multiple peripheral blood indicators in patients with early breast cancer (EBC). Methods A total of 411 patients with early invasive breast cancer underwent breast-conserving surgery or radical surgery at Changzhou No.2 People's Hospital from January 2015 to December 2020. The cut-off values of HALP, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and prognostic nutritional index (PNI) were calculated using the software X-tile. The primary outcomes were recurrence-free survival (RFS), which was analyzed using the Kaplan Meier (K-M) method, while log-rank was used to test the differences between high and low curves. Cox regression analysis was used to analyze the prognostic significance of HALP. Furthermore, the prognostic predictive value of independent prognostic factors was determined using the receiver operating characteristic (ROC) curve. Results Low HALP score (P<0.0001), high PLR (P<0.0001), and low LMR (P = 0.0345) were significantly associated with worse RFS. Body mass index (BMI)<24 (P = 0.0036), no diabetes (P = 0.0205), earlier TNM stage (P = 0.0005), and no lymph node metastasis (P = 0.0022) were positively correlated with longer survival HALP scores (hazard ratio [HR] 95% confidence interval [CI]: 0.08 (0.024-0.265), P<0.0001), BMI (HR 95%CI: 0.254 (0.109-0.589), P = 0.001), TNM stage (HR 95%CI: 0.153 (0.041-0.571), P = 0.005), and diabetes (HR 95%CI: 0.259 (0.085-0.785), P = 0.017) were demonstrated as independent prognostic factors by Cox regression analysis. The ROC curves depicted that the two most valuable factors were TNM stage and HALP, and combined independent factors were more accurate in prognostic prediction than any single factor. This further indicated that the TNM stage combined HALP or BMI were more valuable combinations. Conclusion The HALP score was an independent prognostic factor for EBC and was significantly associated with worse RFS. This score may predict the probability of postoperative tumor recurrence or metastasis before surgery.
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Affiliation(s)
- Zirui Zhao
- Graduate School of Dalian Medicine University, Dalian Medicine University, Dalian, Liaoning, China
- Department of Breast Surgery, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Lingyun Xu
- Department of Breast Surgery, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, China
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Kuo YH, Lai HY, Chan TC, Hsing CH, Huang SK, Hsieh KL, Chen TJ, Li WS, Lu JC, Li CF. Upregulation of Cartilage Oligomeric Matrix Protein Predicts Poor Prognosis in Urothelial Carcinoma. Onco Targets Ther 2022; 15:727-740. [PMID: 35795328 PMCID: PMC9252317 DOI: 10.2147/ott.s370028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/15/2022] [Indexed: 12/03/2022] Open
Abstract
Purpose Cartilage oligomeric matrix protein (COMP) is known as a large pentameric glycoprotein, which interacts with various extracellular matrix proteins in tissues. COMP has been reported to play a role in multiple connective tissue disorders. Recently, elevated COMP levels have been found to be associated with increased tumor size, metastases, faster recurrence of cancer, and overall poorer survival in several cancers. However, the clinical importance of COMP in urothelial carcinoma remains unclear. We investigated the association between COMP expression and clinical outcomes in urothelial carcinoma. Patients and Methods In this retrospective study, we collected urothelial carcinoma (UC) tissue from 340 upper urinary tract UC (UTUC) patients and 295 urinary bladder UC (UBUC) patients. Pearson’s chi-square test, Kaplan–Meier analysis, and the multivariate Cox proportional hazards model was used to examine the relationship between COMP expression and patient characteristics, pathological findings, and patient survival, such as metastasis-free survival (MFS) and disease-specific survival (DSS). Results A total of 295 UBUC patients and 340 UTUC patients were recruited. The COMP mRNA level was significantly higher among invasive tumors (pT2–pT4) than in noninvasive tumors (pTa-T1) in UBUC groups (P < 0.01). COMP overexpression was associated with advanced T stage, nodal metastases, vascular invasion, perineural invasion, high histological grade, and high mitotic rate in both UBUC and UTUC cohorts. COMP overexpression was predictive of shorter DSS (hazard ratio [HR] in UBUC, 3.986, P < 0.001; in UTUC, 2.283, P = 0.027] and MFS (HR in UBUC, 6.813, P < 0.001; in UTUC, 4.070, P < 0.001). Kaplan–Meier analysis demonstrated high COMP expression associated with poor DSS and MFS in UTUC and UBUC groups (all P < 0.0001). Conclusion COMP overexpression was linked to poor clinical prognosis and poor pathological features in UC. These results suggest COMP as a biomarker for UC.
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Affiliation(s)
- Yu-Hsuan Kuo
- Division of Hematology and Oncology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, 71004, Taiwan.,College of Pharmacy and Science, Chia Nan University, Tainan, 71710, Taiwan
| | - Hong-Yue Lai
- Department of Medical Research, Chi Mei Medical Center, Tainan, 710, Taiwan
| | - Ti-Chun Chan
- Department of Medical Research, Chi Mei Medical Center, Tainan, 710, Taiwan.,National Institute of Cancer Research, National Health Research Institutes, Tainan, 704, Taiwan
| | - Chung-Hsi Hsing
- Department of Medical Research, Chi Mei Medical Center, Tainan, 710, Taiwan.,Department of Anesthesiology, Chi Mei Medical Center, Tainan, 710, Taiwan
| | - Steven K Huang
- Division of Urology, Department of Surgery, Chi Mei Medical Center, Tainan, 710, Taiwan.,Department of Medical Science Industries, College of Health Sciences, Chang Jung Christian University, Tainan, Taiwan
| | - Kun-Lin Hsieh
- Division of Urology, Department of Surgery, Chi Mei Medical Center, Tainan, 710, Taiwan
| | - Tzu-Ju Chen
- Department of Clinical Pathology, Chi Mei Medical Center, Tainan, 710, Taiwan.,Department of Medical Technology, Chung Hwa University of Medical Technology, Tainan, Taiwan
| | - Wan-Shan Li
- Department of Medical Technology, Chung Hwa University of Medical Technology, Tainan, Taiwan.,Department of Pathology, Chi Mei Medical Center, Tainan, 710, Taiwan
| | - Jhih-Cheng Lu
- Division of Urology, Department of Surgery, Chi Mei Medical Center, Liouying, 736, Taiwan
| | - Chien-Feng Li
- Department of Medical Research, Chi Mei Medical Center, Tainan, 710, Taiwan.,National Institute of Cancer Research, National Health Research Institutes, Tainan, 704, Taiwan
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Wang Z, So WZ, Loh KY, Lim YK, Mahendran R, Wu QH, Chiong E. Predictive biomarkers of response to bacillus Calmette‐Guérin immunotherapy and bacillus Calmette‐Guérin failure for non‐muscle invasive bladder cancer. Int J Urol 2022; 29:807-815. [PMID: 35598896 PMCID: PMC9543886 DOI: 10.1111/iju.14921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 04/19/2022] [Indexed: 11/28/2022]
Abstract
Within the heterogeneous population of patients with bacillus Calmette‐Guérin failure, there are clear differences in prognosis and therapy with regard to the timeline when bacillus Calmette‐Guérin failure occurred. There are a variety of classifications which include bacillus Calmette‐Guérin refractory disease, relapsing, unresponsive, and intolerant. Further profiling of these patients may help to shed light on other forms of therapy that are less radical. We hereby summarize the different biomarkers that predicts for response to bacillus Calmette‐Guérin immunotherapy and bacillus Calmette‐Guérin failure for non‐muscle invasive bladder cancer.
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Affiliation(s)
- Ziting Wang
- Department of Urology National University Hospital Singapore
| | - Wei Zheng So
- Department of Urology National University Hospital Singapore
| | - Kep Yong Loh
- Department of Internal Medicine Singapore General Hospital Singapore
| | - Yew Koon Lim
- Department of Urology National University Hospital Singapore
| | - Ratha Mahendran
- Department of Urology National University Hospital Singapore
| | - Qing Hui Wu
- Department of Urology National University Hospital Singapore
| | - Edmund Chiong
- Department of Urology National University Hospital Singapore
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Chien TM, Li CC, Lu YM, Chou YH, Chang HW, Wu WJ. The Predictive Value of Systemic Immune-Inflammation Index on Bladder Recurrence on Upper Tract Urothelial Carcinoma Outcomes after Radical Nephroureterectomy. J Clin Med 2021; 10:jcm10225273. [PMID: 34830555 PMCID: PMC8623909 DOI: 10.3390/jcm10225273] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 11/07/2021] [Accepted: 11/08/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND This study aimed to assess the prognostic significance of pre-treatment lymphocyte-related systemic inflammatory biomarkers in upper tract urothelial carcinoma (UTUC) patients. METHODS This study included non-metastatic UTUC patients treated at our hospital between 2001 and 2013. The receiver operating characteristic curve was used to obtain the optimal neutrophile-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Multivariate logistic regression was performed to investigate the relationship between NLR, PLR, and SII and clinical pathologic characteristics. The Kaplan-Meier method was used to calculate the metastasis-free survival (MFS), cancer-specific survival (CSS), and bladder recurrence-free survival (BRFS), and the log-rank test was used to compare the survival rate. RESULTS Overall, 376 patients were included in the current study. An elevated SII was associated with symptomatic hydronephrosis, bladder cancer history, advanced pathologic tumor stage, lymph node invasion, adjuvant chemotherapy and concomitant carcinoma in situ (CIS); high NLR was associated with older age, symptomatic hydronephrosis, hemodialysis status, anemia, multifocal tumor, advanced pathologic tumor stage, and adjuvant chemotherapy; and high PLR was associated with older age, anemia, advanced pathologic tumor stage, and adjuvant chemotherapy. The Kaplan-Meier analysis indicated that patients exhibiting higher NLR, PLR, and SII showed significantly poor MFS and CSS rates. Only high SII showed significantly worse BRFS rates. CONCLUSIONS The NLR, PLR, and SII were independent predictive factors for both MFS and CSS in UTUC patients. Among the factors, only elevated SII can predict bladder recurrence. Therefore, the patients might need close bladder monitoring during the follow-up.
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Affiliation(s)
- Tsu-Ming Chien
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (T.-M.C.); (Y.-H.C.)
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan;
- Department of Urology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan;
| | - Ching-Chia Li
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan;
- Department of Urology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan;
| | - Yen-Man Lu
- Department of Urology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan;
- Department of Urology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung 80145, Taiwan
| | - Yii-Her Chou
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (T.-M.C.); (Y.-H.C.)
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan;
- Department of Urology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan;
| | - Hsueh-Wei Chang
- Department of Biomedical Science and Environmental Biology, College of Life Science, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan
- Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Correspondence: (H.-W.C.); (W.-J.W.); Tel.: +886-7-312-1101 (ext. 2691) (H.-W.C.); +886-7-320-8212 (W.-J.W.)
| | - Wen-Jeng Wu
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan; (T.-M.C.); (Y.-H.C.)
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan;
- Department of Urology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80756, Taiwan;
- Correspondence: (H.-W.C.); (W.-J.W.); Tel.: +886-7-312-1101 (ext. 2691) (H.-W.C.); +886-7-320-8212 (W.-J.W.)
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Wu P, Ye H, Cai X, Li C, Li S, Chen M, Wang M, Heidari AA, Chen M, Li J, Chen H, Huang X, Wang L. An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study. IEEE Access 2021; 9:45486-45503. [PMID: 34786313 PMCID: PMC8545214 DOI: 10.1109/access.2021.3067311] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 03/15/2021] [Indexed: 06/13/2023]
Abstract
This paper has proposed an effective intelligent prediction model that can well discriminate and specify the severity of Coronavirus Disease 2019 (COVID-19) infection in clinical diagnosis and provide a criterion for clinicians to weigh scientific and rational medical decision-making. With indicators as the age and gender of the patients and 26 blood routine indexes, a severity prediction framework for COVID-19 is proposed based on machine learning techniques. The framework consists mainly of a random forest and a support vector machine (SVM) model optimized by a slime mould algorithm (SMA). When the random forest was used to identify the key factors, SMA was employed to train an optimal SVM model. Based on the COVID-19 data, comparative experiments were conducted between RF-SMA-SVM and several well-known machine learning algorithms performed. The results indicate that the proposed RF-SMA-SVM not only achieves better classification performance and higher stability on four metrics, but also screens out the main factors that distinguish severe COVID-19 patients from non-severe ones. Therefore, there is a conclusion that the RF-SMA-SVM model can provide an effective auxiliary diagnosis scheme for the clinical diagnosis of COVID-19 infection.
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Affiliation(s)
- Peiliang Wu
- Department of Pulmonary and Critical Care MedicineThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China
| | - Hua Ye
- Department of Pulmonary and Critical Care MedicineAffiliated Yueqing Hospital, Wenzhou Medical UniversityYueqing325600China
| | - Xueding Cai
- Department of Pulmonary and Critical Care MedicineThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China
| | - Chengye Li
- Department of Pulmonary and Critical Care MedicineThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China
| | - Shimin Li
- College of Computer Science and Artificial IntelligenceWenzhou UniversityWenzhou325035China
| | - Mengxiang Chen
- Department of Information TechnologyWenzhou Vocational College of Science and TechnologyWenzhou325006China
| | - Mingjing Wang
- College of Computer Science and Artificial IntelligenceWenzhou UniversityWenzhou325035China
| | - Ali Asghar Heidari
- School of Surveying and Geospatial Engineering, College of EngineeringUniversity of TehranTehran1417466191Iran
- Department of Computer ScienceSchool of ComputingNational University of SingaporeSingapore117417
| | - Mayun Chen
- Department of Pulmonary and Critical Care MedicineThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China
| | - Jifa Li
- Department of Pulmonary and Critical Care MedicineAffiliated Yueqing Hospital, Wenzhou Medical UniversityYueqing325600China
| | - Huiling Chen
- College of Computer Science and Artificial IntelligenceWenzhou UniversityWenzhou325035China
| | - Xiaoying Huang
- Department of Pulmonary and Critical Care MedicineThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China
| | - Liangxing Wang
- Department of Pulmonary and Critical Care MedicineThe First Affiliated Hospital of Wenzhou Medical UniversityWenzhou325000China
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Chang D, Cheng Y, Luo R, Zhang C, Zuo M, Xu Y, Dai W, Li Y, Han M, He X, Ge S, Xu G. The prognostic value of platelet-to-lymphocyte ratio on the long-term renal survival in patients with IgA nephropathy. Int Urol Nephrol 2021; 53:523-30. [PMID: 33113085 DOI: 10.1007/s11255-020-02651-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 09/14/2020] [Indexed: 02/06/2023]
Abstract
Purpose Platelet-to-lymphocyte ratio (PLR) was established showing the poor prognosis in several diseases, such as malignancies and cardiovascular diseases. But limited study has been conducted about the prognostic value of PLR on the long-term renal survival of patients with Immunoglobulin A nephropathy (IgAN). Methods We performed an observational cohort study enrolling patients with biopsy-proven IgAN recorded from November 2011 to March 2016. The definition of composite endpoint was eGFR decrease by 50%, eGFR < 15 mL/min/1.73 m2, initiation of dialysis, or renal transplantation. Patients were categorized by the magnitude of PLR tertiles into three groups. The Kaplan–Meier curves and multivariate Cox models were performed to determine the association of PLR with the renal survival of IgAN patients. Results 330 patients with a median age of 34.0 years were followed for a median of 47.4 months, and 27 patients (8.2%) had reached the composite endpoints. There were no differences among the three groups (PLR < 106, 106 ≤ PLR ≤ 137, and PLR > 137) in demographic characteristics, mean arterial pressure (MAP), proteinuria, and estimated glomerular filtration rate (eGFR) at baseline. The Kaplan–Meier curves showed that the PLR > 137 group was significantly more likely to poor renal outcomes than the other two groups. Using univariate and multivariate cox regression analyses, we found that PLR > 137 was an independent prognostic factor for poor renal survival in patients with IgAN. Subgroup analysis revealed that the PLR remained the prognostic value for female patients or patients with eGFR less than 60 mL/min/1.73 m2. Conclusions Our results underscored that baseline PLR was an independent prognostic factor for poor renal survival in patients with IgAN, especially for female patients or those patients with baseline eGFR less than 60 mL/min/1.73 m2.
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Liu J, Wu P, Lai S, Song X, Fu C, Wang X, Liu S, Hou H, Liu M, Wang J. Preoperative Monocyte-to-lymphocyte Ratio Predicts for Intravesical Recurrence in Patients With Urothelial Carcinoma of the Upper Urinary Tract After Radical Nephroureterectomy Without a History of Bladder Cancer. Clin Genitourin Cancer 2020; 19:e156-e165. [PMID: 33121908 DOI: 10.1016/j.clgc.2020.09.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 08/28/2020] [Accepted: 09/07/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND This study aimed to investigate the preoperative monocyte-to-lymphocyte ratio (MLR) as a biomarker for intravesical recurrence (IVR) in upper urinary tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU) for the first time. PATIENTS AND METHODS This study involved the clinical data of 255 patients with UTUC without a history of bladder cancer who had undergone RNU from March 2004 to February 2019 at an academic institution. The associations between MLR and IVR were assessed with Kaplan-Meier method and Cox regression analysis. RESULTS The median follow-up was 43.93 months. Of the 255 patients, 37 developed IVR during the follow-up period. Kaplan-Meier analysis revealed that patients with high MLR (> 0.22) had poor IVR-free survival (P = .001); this prognostic value was in accordance with patients with high grade and more advanced stage UTUC. Cox regression preoperative models showed that ureteral tumor site (hazard ratio [HR], 2.784; P = .005), surgical approach (HR, 2.745; P = .008), and high MLR (HR, 4.085; P < .001) were an independent risk factor for IVR. These factors were used as a signature to establish a prognostic risk model, which revealed significant differences among the 3 subgroups of patients with low, intermediate, and high risk (P < .001). CONCLUSION Ureteral tumor site, surgical approach, and preoperative MLR are significant predictors for IVR in patients with UTUC after RNU. MLR may become a useful biomarker to predict IVR in patients with UTUC after RNU.
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Affiliation(s)
- Jianyong Liu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China; Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Pengjie Wu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Shicong Lai
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China; Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Xinda Song
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China; Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Chunlong Fu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China; Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Xuan Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Shengjie Liu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Huimin Hou
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China
| | - Ming Liu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China; Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, P. R. China.
| | - Jianye Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of the Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P. R. China; Graduate School of Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, P. R. China.
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