Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

BACKGROUND:Allogeneic hematopoietic stem cell transplantation is an effective and even the only way to cure various hematological diseases,but the short-term mortality rate is relatively high after transplantation. OBJECTIVE:To investigate the risk factors affecting the overall survival of patients with hematological diseases in the short term(within 100 days)after allogeneic hematopoietic stem cell transplantation,so as to reduce mortality and effectively prevent related risks in the short term(within 100 days)after allogeneic hematopoietic stem cell transplantation. METHODS:Clinical data of 585 patients with hematological diseases who underwent allogeneic hematopoietic stem cell transplantation at the Hematopoietic Stem Cell Transplantation Center of First Affiliated Hospital of Zhengzhou University from January 1,2018 to June 30,2021 were retrospectively analyzed.The risk factors that affected overall survival within 100 days after allogeneic hematopoietic stem cell transplantation were explored. RESULTS AND CONCLUSION:A total of 585 patients with hematologic diseases underwent allogeneic hematopoietic stem cell transplantation.92 patients died within 100 days after transplantation,with a mortality rate of 15.7%(92/585).The median age of death cases was 26.5 years old(1-56 years),and the median survival time of death cases was 48 days(0-97 days).Univariate analysis exhibited that age≥14 years old,acute graft-versus-host disease,grade IV acute graft-versus-host disease,bacterial bloodstream infection,as well as carbapenem-resistant organism bloodstream infection,were risk factors for overall survival within 100 days after allogeneic hematopoietic stem cell transplantation(P<0.05).Multivariate regression analysis showed that age≥14 years old,grades Ⅲ-Ⅳ acute graft-versus-host disease,bacterial bloodstream infection,and carbapenem-resistant organism bloodstream infections were independent risk factors for overall survival(within 100 days)in patients after allogeneic hematopoietic stem cell transplantation.Hazard ratios were 1.77(95%CI 1.047-2.991),7.926(95%CI 3.763-16.695),2.039(95%CI 1.117-3.722),and 3.389(95%CI 1.563-7.347),respectively.In conclusion,all-cause mortality rate after allogeneic hematopoietic stem cell transplantation is relatively high in the short term.A timely diagnosis and effective treatment of bacterial bloodstream infection and acute graft-versus-host disease are essential to improving allogeneic hematopoietic stem cell transplantation outcomes.

Objective: To evaluate health risks of five heavy metals in drinking water of rural schools in Henan Province, so as to provide scientific basis for drinking water safety in rural schools. Methods: Totally 1 269 drinking water samples were collected and analyzed for five heavy metals (As, Cd, Cr 6+ , Pb, Hg) concentration in 106 cities and counties of Henan Province, and its spatial distribution characteristics were explored by geographic information system (GIS). Risk assessment method recommended by the United States Environmental Protection Agency (U.S. EPA) was applied to evaluate health risks from five heavy metals through oral ingestion. Results: The qualified rate of As concentration was 100%, and the qualified rates of Cd, Cr 6+ , Pb and Hg were 99.9% , 99.9%, 99.5%, 99.6%. The highest carcinogenic risk was As (3.05×10 -5 ), followed by Cr 6+ (2.73×10 -5 ), and the highest non carcinogenic risk was As (0.158 3), followed by Pb(0.041 7). The carcinogenic risk and non carcinogenic risk were all higher in girls than boys. The carcinogenic and non carcinogenic risks were differences in different regions( P <0.05). Conclusion Health risks of five heavy metals in drinking water for rural schools in Henan Province were within the acceptable risk level recommended by EPA. As, Cr 6+ and Pb were the main health risk factors in drinking water, and that might impact negatively the healthy growth of primary and middle school students. These should be future efforts of drinking water safety management.

OBJECTIVE: To explore the mechanisms that mediate the anti-inflammatory activity of Eurycoma longifolia. METHODS: Kunming mouse models of xylene-induced ear swelling and lipopolysaccharide (LPS)-induced acute pneumonia were used to compare the anti- inflammatory activities of aqueous and ethanol extracts of Eurycoma longifolia. UPLC-Q-TOF-MS/MS was used to identify the chemical composition in the ethanol extract of Eurycoma longifolia, based on which the potential antiinflammatory targets of Eurycoma longifolia were screened using the databases including SwissADME, SwissTargetPrediction, and Genecards. The String database was used to generate the protein-protein interaction (PPI) network, and Cytoscape was used for network topology analysis and screening the core targets. The enrichment of the core targets was analyzed using Metascape database, the core components and targets were docked with Autodock software, and the docking results were visualized using Pymol software. In a RAW264.7 cell model of LPS-induced inflammation, the Griess reagent was used to measure NO level, and Western blotting was performed to detect the expression levels of MAPK1, JAK2, and STAT3 proteins to verify the anti- inflammatory mechanism of Eurycoma longifolia. RESULTS: The ethanol extract (75%) of Eurycoma longifolia (ELE) was the active site, which contained a total of 37 chemical components. These chemical compounds and diseases had 541 targets, involving the JAK/STAT3, cAMP and other signaling pathways. Twelve indicator components were identified, which all showed good results of molecular docking with two core targets involved in the signaling pathways. In the cell validation experiment, treatment of the cells with low-, medium-, and high-dose ELE significantly reduced NO release in the cells, and ELE at the medium dose significantly decreased the cellular expressions of JAK2 and STAT3. CONCLUSION The anti-inflammatory activity of Eurycoma longifolia is attributed primarily to its active ingredients bitter lignin and alkaloids, which may regulate the JAK/STAT3 signaling pathway by targeting JAK2 and STAT3.
Animals ; Mice ; Network Pharmacology ; Eurycoma ; Lipopolysaccharides ; Molecular Docking Simulation ; Tandem Mass Spectrometry ; Anti-Inflammatory Agents/pharmacology* ; Ethanol ; Plant Extracts/pharmacology*

INTRODUCTION: Three doses of SARS-CoV-2 mRNA vaccines have been recommended for cancer patients to reduce the risk of severe disease. Anti-neoplastic treatment, such as chemotherapy, may affect long-term vaccine immunogenicity. METHOD: Patients with solid or haematological cancer were recruited from 2 hospitals between July 2021 and March 2022. Humoral response was evaluated using GenScript cPASS surrogate virus neutralisation assays. Clinical outcomes were obtained from medical records and national mandatory-reporting databases. RESULTS: A total of 273 patients were recruited, with 40 having haematological malignancies and the rest solid tumours. Among the participants, 204 (74.7%) were receiving active cancer therapy, including 98 (35.9%) undergoing systemic chemotherapy and the rest targeted therapy or immunotherapy. All patients were seronegative at baseline. Seroconversion rates after receiving 1, 2 and 3 doses of SARS-CoV-2 mRNA vaccination were 35.2%, 79.4% and 92.4%, respectively. After 3 doses, patients on active treatment for haematological malignancies had lower antibodies (57.3%±46.2) when compared to patients on immunotherapy (94.1%±9.56, P<0.05) and chemotherapy (92.8%±18.1, P<0.05). SARS-CoV-2 infection was reported in 77 (28.2%) patients, of which 18 were severe. No patient receiving a third dose within 90 days of the second dose experienced severe infection. CONCLUSION This study demonstrates the benefit of early administration of the third dose among cancer patients.
Humans ; SARS-CoV-2 ; COVID-19/prevention & control* ; Treatment Outcome ; Neoplasms/drug therapy* ; Hematologic Neoplasms ; Vaccination ; RNA, Messenger ; Antibodies, Viral ; Immunogenicity, Vaccine

Hepatolithiasis is a common biliary tract disease in China and other Asian countries.It has insidious onset,recurrent disease,and may lead to biliary cirrhosis or even cancer in the late stage without inter-vention.At present,surgery is considered to be the best choice for treatment.In the 21st century of minimally inva-sive surgery,traditional procedures such as partial hepatectomy,choledochotomy,cholangioenterostomy and liver transplantation can be performed with the assistance of laparoscopy and da Vinci robots,and emerging endoscopic techniques such as endoscopic retrograde cholangiopancreatography(ERCP)and percutaneous transhepatic cho-ledochoscopic lithotripsy(PTCSL)have also been developed,bringing better treatment for patients with hepatoli-thiasis.As treatment options are becoming more varied,there are also some clinical problems that need to be addressed.In this article,we would like to briefly review the current surgical treatment modalities in order to provide a theoretical basis for optimizing the treatment modalities.