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Dan Ren,1 Wen-Ling Wang,2 Gang Wang,2 Wei-Wei Chen,2 Xiao-Kai Li,2 Guo-Dong Li,2 Sai-Xi Bai,2 Hong-Min Dong,2 Wang-Hua Chen2 1Oncology Department, Guizhou Medical University, Guiyang, Guizhou, 550000, People’s Republic of China; 2Department of Abdominal Oncology, Affiliated Hospital of Guizhou Medical University, Affiliated Tumor Hospital of Guizhou Medical University, Guiyang, Guizhou, 550000, People’s Republic of ChinaCorrespondence: Wen-Ling WangDepartment of Abdominal Oncology, Affiliated Hospital of Guizhou Medical University, Affiliated Tumor Hospital of Guizhou Medical University, No. 1 Beijin West Road, Yunyan District, Guiyang, Guizhou, 550000, People’s Republic of ChinaTel +86 138 8507 7539Fax +86 851 86512900Email wangww35@outlook.comObjective: The aim of this study was to develop a nomogram-based model to predict the three-year and five-year overall survival (OS) of patients with stage II/III colon cancer following radical resection.Methods: A total of 1156 patients with stage II/III colon cancer who underwent radical resection at the Affiliated Hospital of Guizhou Medical University between December 2012 and December 2018 were enrolled. Lasso regression was used to screen out 12 variables: age, prealbumin, albumin, degree of differentiation, total tumor-node-metastasis (TNM) stage, T stage, N stage, prognostic nutritional index (PNI), platelet/lymphocyte count, carcinoembryonic antigen, carbohydrate antigen 19-9 (CA19-9), and postoperative adjuvant chemotherapy. The data set was then randomly split into a modeling set and a validation set, and the bootstrap method was used to verify the internal validity of the final model. A nomogram was then used to present the model, and the risk groups were categorized according to the total score in the nomogram.Results: This study established and developed a simple, easy-to-use predictive model that included age, degree of differentiation, N stage, CA19-9, PNI, and postoperative chemotherapy as variables. In the multivariate Cox regression analysis, only postoperative chemotherapy was identified as an independent risk factor for death in patients with colon cancer. The receiver operating characteristic curve showed that the model demonstrated good resolution, with an area under the curve of 0.803. Decision curve analysis indicated that the model had a good positive net gain, and the bootstrap method was used to verify its stability. In the OS rate, the C-index was 0.78. According to the total score of the nomogram, the risk group was layered by drawing the Kaplan–Meier (K–M) curve. In the three-year OS K–M curve, the survival rates of the low-risk group, the medium-risk group, and the high-risk group were 96%, 93%, and 82%, respectively. In the five-year OS K–M curve, the survival rates of the low-risk group, the medium-risk group, and the high-risk group were 94%, 90%, and 73%, respectively.Conclusion: The nomogram-based prediction model developed in this study is stable and has good resolution, reliability, and net gain. It will therefore be useful for clinicians performing risk stratification and postoperative monitoring and in the development of personalized treatment options for patients with stage II/III colon cancer.Keywords: colon cancer, nomogram, overall survival, prognosis

Zhong Wang,1,* Kai Yuan,1,* Yan-Bin Ji,2,* Su-Xia Li,3 Le Shi,1 Zhe Wang,1 Xin-Yu Zhou,4 Yan-Ping Bao,3 Wen Xie,5 Ying Han,3 Jie Shi,3 Lin Lu,1,3,6 Wei Yan,1 Wen-Hao Chen1 1Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, 100191, People’s Republic of China; 2Department of Neurology, Qilu Hospital of Shandong University, Shandong University, Jinan, 250012, People’s Republic of China; 3National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, People’s Republic of China; 4Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China; 5Mental Health Center of Anhui Province, Hefei, 230032, People’s Republic of China; 6Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wen-Hao Chen; Wei Yan Peking University Sixth Hospital/Peking University Institute of Mental Health, 51 Huayuanbei Road, Haidian District, Beijing, 100191, People’s Republic of ChinaTel +86-10-82801342; Tel +86-10-62723704Email chenwenhao@bjmu.edu.cn; weiyan@bjmu.edu.cnIntroduction: Accumulating evidence suggests that both sleep loss and gut dysbiosis can lead to metabolic disorders. However, less is known about the impact of total sleep deprivation (SD) and sleep recovery on the composition, function, and metabolic dynamics of the gut microbiota.Methods: Specific-pathogen free Sprague–Dawley rats were subjected to 48 h of SD with gentle handling and then allowed to recover for 1 week. Taxonomic profiles of fecal microbiota were obtained at baseline, 24 h of SD, 48 h of SD, and 1 week of recovery. We used 16S rRNA gene sequencing to analyze the gut microbial composition and function and further characterize microbiota-derived metabolites in rats.Results: The microbiota composition analysis revealed that gut microbial composition and metabolites did not change in the rats after 24 h of SD but were significantly altered after 48 h of SD. These changes were reversible after 1 week of sleep recovery. A functional analysis was performed based on Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations, indicating that 19 KEGG pathways were significantly altered in the gut microbiota in SD rats. These functional changes occurred within 24 h of SD, were more apparent after 48 h of SD, and did not fully recover after 1 week of sleep recovery.Conclusion: These results indicate that acute total SD leads to significant compositional and functional changes in the gut microbiota, and these changes are reversible.Keywords: gut microbiota, sleep deprivation, short-chain fatty acid, function prediction

Hao Lin,1 Wen-Hsin Chen,1 Chen-Hsuan Wu,1,2 Yu-Che Ou,3 Yu-Jen Chen,3 Ying-Yi Chen,1 Yu-Han Lin,4 Hung-Chun Fu1– 3 1Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan; 2Graduate Institute of Clinical Medical Sciences, Chang Gung University, Lin-Kou, Taiwan; 3Department of Obstetrics and Gynecology, Chia-Yi Chang Gung Memorial Hospital, Chia-Yi, Taiwan; 4Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, Tainan, TaiwanCorrespondence: Hung-Chun FuDepartment of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, 123, Ta Pei Road, Niao Sung District, Kaohsiung City, Taiwan, Republic of ChinaTel +886 7 731712Fax +886 7 7322915Email allen133@adm.cgmh.org.twAim: To investigate whether the time interval between primary debulking surgery (PDS) and initiating adjuvant chemotherapy affects survival in patients with epithelial ovarian cancer (EOC).Methods: We retrospectively reviewed FIGO stage IIB to IV EOC patients who received PDS followed by adjuvant chemotherapy in our hospital between January 2008 and December 2016. The optimal cut-off time interval to chemotherapy related to survival was determined using the Contal and O’Quigley method and Cox hazard models. Cox regression analysis was used to identify the independent effect of time interval on survival.Results: A total of 152 patients were identified and divided into three groups based on the time interval between PDS and initiating adjuvant chemotherapy: early (< 23 days), intermediate (23– 43 days) and late (> 43 days). The intermediate group had a significantly better median progression-free survival (PFS, 35.5 months) compared to the early (20 months) and late (22.6 months) groups. After adjustments for confounding factors, time interval was still an independent variable affecting PFS. The intermediate group was associated with a better PFS compared with the early and late groups (hazard ratio 0.27, 95% CI 0.10– 0.83, p=0.002). There was no statistical significance in overall survival (OS) in univariate or multivariate analysis, although there was a trend towards better OS in the intermediate group.Conclusion: Our results provide evidence that the time interval from PDS to chemotherapy influences PFS in patients with advanced EOC. The optimal time to initiate chemotherapy was between 23 and 43 days, within 3– 6 weeks post-operatively. Initiating chemotherapy early (< 23 days) did not appear to benefit PFS.Keywords: time interval, chemotherapy, ovarian cancer

Lin H, Chen WH, Wu CH, et al. Cancer Manag Res. 2021;13:5413–5422. Page 5414, right column, third line, the text “201601487B0C501” should read “201901805B0”. The authors apologize for this error. Read the original article

Kuo-Sheng Liu,1 Wei-Hsun Chen,1 Cheng-Hung Lee,2 Yong-Fong Su,3 Shih-Jung Liu3,4 1Department of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China; 2Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China; 3Department of Mechanical Engineering, Chang Gung University, Taoyuan, Taiwan, Republic of China; 4Department of Orthopedic Surgery, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, Republic of China Background: The most common complaint after the Nuss procedure is severe postoperative chest pain. The aim of this study was to evaluate the effectiveness of analgesic-eluting biodegradable nanofibers in pain relief after the Nuss procedure.Materials and methods: Poly(D,L)-lactide-co-glycolide, lidocaine, and ketorolac were dissolved in 1,1,1,3,3,3-hexafluoro-2-propanol. This solution was electrospun into a nanofibrous membrane. The elution method and high-performance chromatography were used to characterize the in vitro drug release. Stainless steel bars with and without coating of the analgesic-eluting nanofibrous membrane were implanted underneath the sternums of New Zealand white rabbits. The in vivo characteristics were further investigated.Results: The in vitro study showed that the biodegradable nanofibers released high doses of lidocaine and ketorolac within 10 days. The in vivo study demonstrated high local and systemic concentrations of lidocaine and ketorolac. The serum creatinine level was unaffected. Animals that received implants of the analgesic-eluting nanofiber-coated stainless steel bar exhibited significantly greater food and water ingestion and physical activity than the control group did, indicating effective pain relief.Conclusion: The proposed analgesic-eluting biodegradable nanofibers contribute to the achievement of extended pain relief after the Nuss procedure, without obvious adverse effects, in an animal model. Keywords: analgesic-eluting, nanofibers, biodegradable, pectus excavatum, Nuss procedure

Anna Chang,1 Huei-Fong Hung,2 Fang-I Hsieh,3 Wei-Hung Chen,1,4 Hsu-Ling Yeh,1,5 Jiann-Horng Yeh,1,6 Hou-Chang Chiu,1,6 Li-Ming Lien1,4 1Department of Neurology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, 2Department of Cardiology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, 3School of Public Health, College of Public Health, Taipei Medical University, Taipei, 4School of Medicine, College of Medicine, Taipei Medical University, Taipei, 5Institute of Public Health, National Yang-Ming University, Taipei, 6School of Medicine, College of Medicine, Fu Jen Catholic University, Taipei, Taiwan Objectives: The main purpose of this study was to investigate whether carotid artery stenting (CAS) plus medicine in patients with severe carotid artery stenosis provide a better long-term blood pressure (BP) control compared to other medical treatments alone. The other aim was to explore the correlation between post-CAS hypotension within 6 h and long-term BP reductions after CAS. Materials and methods: Patients with severe carotid stenosis were recruited either in the CAS group or in the medication group. BPs and the number of classes of antihypertensive agents were recorded at baseline, 6, and 12 months. Extra BP information was collected at 6 h, 3 days, and 1 month after CAS. Univariate and multivariate linear regressions were performed to test the relationship of BP changes among CAS and medication groups after 6 and 12 months of follow-up. Univariate linear regressions were also used to determine the correlations between the mean or maximal systolic BP (SBP) reductions at 6 h and 1 year post-CAS. Results: In total, 72 members in the CAS group and 82 members in the medication group were recruited. Compared with the medication group, patients in the CAS group had greater BP reductions at 6 and 12 months of follow-up after adjusting for confounding factors (13.56 mmHg at 6 months, P=0.0002; 16.98 mmHg at 12 months, P

Abstract Session Initiation Protocol (SIP) has been proposed for multimedia services and wide-area connectivity in smart home environments (SHEs). An important issue for SIP deployment in SHEs is network address translator (NAT) traversing. SIP and Real-time Transport Protocol (RTP) packets are delivered between an SHE (i.e., private IP network) and Internet (i.e., a public IP network) through an NAT function of a home gateway, and the NAT translates the IP/transport layer address and port number but leaves the application layer content unchanged. This results in inconsistency between the IP addresses/port numbers in the IP/transport layers and those in the SIP layer. To resolve this issue, we describe six solutions including static route, UPnP, STUN, ICE, ALG, and SBC. Then we compare these solutions in terms of smart home appliance (SHA) modification, scope of NATs supported, multilayer NAT traversal, ease of configuration, security issue, and time complexities.