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Chen HW, He Y, Ruan HH, Wu GB, Yu SJ, Wang Y, Chen GD, Qiu J, Wang CX, Chen LZ. [Mid-term efficacy evaluation of ABO incompatible living relative kidney transplantation based on protocol biopsy]. Zhonghua Yi Xue Za Zhi 2024; 104:944-949. [PMID: 38514343 DOI: 10.3760/cma.j.cn112137-20230719-00030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To evaluate the mid-term efficacy of ABO incompatible living donor kidney transplantation (ABOi-KT) based on the results of routine renal biopsy for transplantation. Methods: Retrospective collection of clinical data from 23 pairs of ABOi-KT donors and recipients at the First Affiliated Hospital of Sun Yat-sen University from July 2015 to November 2021. ABOi-KT was performed on recipients after desensitization treatment, and the results of routine kidney transplant biopsy at 1 week, 1 month, 3 months, 6 months, and 12 months after surgery were analyzed. Combined with blood type antibody levels and renal function recovery, the mid-term efficacy of ABOi-KT was evaluated. Results: Among the 23 recipients, there were 19 males and 4 females; age range from 19 to 47 years old [(29.6±6.7) years old], all underwent ABOi-KT successfully after receiving desensitization treatment. The follow-up time was (44.6±22.4) months, of which 22 cases were followed up for more than 1 year. The incidence rates of rejection reactions at 1 week, 1 month, 3 months, 6 months, and 12 months after surgery were 15.0% (3/20), 11.1% (1/9), 7.7% (1/13), 25.0% (3/12), and 12.5% (1/8), respectively. For receptors with rejection reactions, targeted anti-rejection therapy was performed based on clinical symptoms and various indicators. Borderline T cell mediated rejection (TCMR) can be converted to mild tubular inflammation after anti-rejection treatment. The positive rate of complement C4d in peritubular capillaries was 95.0% (19/20) one week after surgery, and the positive rate of complement C4d was 100% at 3 and 12 months after surgery. The cumulative survival rates at 1, 3, 5, and 7 years after surgery were all 100%. The cumulative survival rates at 1, 3, 5, and 7 years after kidney transplantation were 100%, 93.3%, 84.0%, and 84.0%, respectively. Except for 2 recipients who underwent transplantation in 2017 and experienced kidney failure at 30 and 49 months after surgery, all other transplanted kidneys survived. Conclusions: The results of routine renal transplant biopsy show that ABOi-KT has a good mid-term therapeutic effect. The pathological changes of ABOi-KT can be dynamically observed through routine renal transplant biopsy and targeted treatment for rejection reactions can be provided accordingly.
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Affiliation(s)
- H W Chen
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Y He
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - H H Ruan
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - G B Wu
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - S J Yu
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Y Wang
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - G D Chen
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - J Qiu
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - C X Wang
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - L Z Chen
- Organ Transplantation Center of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
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Pan L, Zhang Y, Gao Y, Qiu J. Clinicopathological, metastatic and prognostic features of stage IV esophageal adenocarcinoma versus squamous cell carcinoma: a SEER database analysis. Chin Clin Oncol 2024; 13:2. [PMID: 38372056 DOI: 10.21037/cco-23-88] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/06/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND It is important to note that although the current treatment for advanced esophageal cancer (EC) has made great technological advances, patients' 5-year survival rates do not appear to be encouraging. Therefore, understanding the clinicopathological features and metastasis patterns of the patients with stage IV EC, combined with the prognosis of these patients, can aid in choosing the optimal treatment plan. It is well known that esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) are the two most common pathological types. The aim of this study is to examine and compare the clinicopathological features and metastatic modes of stage IV ESCC and EAC, as well as their prognosis and survival. METHODS Based on the Surveillance, Epidemiology, and End Results (SEER) database, we assessed the characteristics of ESCCs and EACs associated with prognosis using the Kaplan-Meier survival analysis, and the Cox regression model. Furthermore, the clinical data of 217 patients with stage IV ESCC and EAC in the Department of Gastroenterology of the Second Affiliated Hospital of Nantong University between 2014 and 2016 were reviewed. RESULTS A total of 3,707 cases treated between 2010 and 2016 were included. The incidence of EAC in the United States is much higher than that of ESCC. Common metastasis patterns were lungs only, liver only, bones only, and lung & liver. The multivariate Cox analysis showed that treatment mode and metastasis patterns were independent risk factors affecting the overall survival (OS) time of patients (stage IV ESCC & EAC). EAC patients with only lung metastases may have a longer survival if chose treatment options that included surgery. In the external cohort, a total of 217 cases were included. The prevalence of ESCC is much higher than that of EAC, and the common metastasis patterns are liver only, lung only, and liver & lung. The multivariate Cox analysis showed that treatment mode was independent risk factor affecting the OS time of patients (stage IV ESCC & EAC). EAC patients treated with surgery combined with chemoradiotherapy may have a better prognosis. CONCLUSIONS In general, the prognosis of patients with stage IV ESCC and EAC are poor. However, surgery was found to significantly improve the OS time of patients with stage IV EAC in this study.
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Affiliation(s)
- Liuhong Pan
- Department of Gastroenterology, the Second Affiliated Hospital of Nantong University, Nantong, China; Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, China
| | - Yan Zhang
- Department of Gastroenterology, the Second Affiliated Hospital of Nantong University, Nantong, China; Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, China
| | - Yadong Gao
- Department of Gastroenterology, the Second Affiliated Hospital of Nantong University, Nantong, China; Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, China
| | - Jianwei Qiu
- Department of Gastroenterology, the Second Affiliated Hospital of Nantong University, Nantong, China; Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, China
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Gao L, Li L, Zhang D, Qiu J, Qian J, Liu H. TAPI-1 Exhibits Anti-tumor Efficacy in Human Esophageal Squamous Cell Carcinoma Cells via Suppression of NF-κB Signaling Pathway. Dig Dis Sci 2024; 69:81-94. [PMID: 38007701 PMCID: PMC10787672 DOI: 10.1007/s10620-023-08181-z] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 11/02/2023] [Indexed: 11/28/2023]
Abstract
BACKGROUND TNF-α processing inhibitor-1 (TAPI-1) is a known metalloproteinase inhibitor with potential anti-inflammatory effects. However, its anti-cancer effects on esophageal squamous cell carcinoma (ESCC) have not been uncovered. AIM In the present study, the effects of TAPI-1 on ESCC cell viability, migration, invasion, and cisplatin resistance and the underlying molecular mechanisms were investigated in TE-1 and Eca109 cells. METHODS To this end, TE-1 and Eca109 cells were exposed to TAPI-1 for indicated time intervals. Cell viability was assessed using cell counting kit-8 assay and apoptosis was evaluated using flow cytometry assay. Migration and invasion were assessed using Transwell assays. Gene expressions were analyzed using quantitative reverse transcription polymerase chain reaction. The activation of NF-κB signaling pathway was elucidated via Western blot and chromatin immunoprecipitation assay. RESULTS We observed that higher doses (10, 20 μM) of TAPI-1 inhibited ESCC cell viability, while a lower dose (5 μM) of TAPI-1 inhibited ESCC cell migration and invasion and enhanced the chemosensitivity of ESCC cells to cisplatin. Moreover, TAPI-1 suppressed the activation of NF-κB signaling and the target genes expression in the stage of transcription initiation. Furthermore, blocking NF-κB signaling in advance could abolish all the effects of TAPI-1 on ESCC cells. CONCLUSION Overall, these results indicated that TAPI-1 impairs ESCC cell viability, migration, and invasion and facilitates cisplatin-induced apoptosis via suppression of NF-κB signaling pathway. TAPI-1 may serve as a potential adjuvant agent with cisplatin for ESCC therapy.
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Affiliation(s)
- Lin Gao
- Medical Research Center, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, People's Republic of China
| | - Li Li
- Department of Pathology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Shengli Road No. 666, Nantong, 226001, Jiangsu, People's Republic of China
| | - Dongmei Zhang
- Medical Research Center, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, People's Republic of China
| | - Jianwei Qiu
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, People's Republic of China
| | - Junbo Qian
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, People's Republic of China
| | - Hongbin Liu
- Department of Pathology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Shengli Road No. 666, Nantong, 226001, Jiangsu, People's Republic of China.
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Duan JF, Guo X, Qiu J, Huang F, Li J, Li Z, Zheng YJ, Sun XD. [Analysis of the current status and related factors of human papillomavirus infection among community-dwelling women aged 18-24 years without a history of vaccination in Shanghai City]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:2056-2063. [PMID: 38186156 DOI: 10.3760/cma.j.cn112150-20230404-00257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Objective: To understand the status of human papillomavirus (HPV) infection among young women without a history of vaccination in Shanghai, and analyze the related factors of HPV infection in this population. Methods: A total of 2 660 women aged 18-24 years old who had made an appointment for HPV vaccine at 36 community health service centers in Shanghai from July 2022 to February 2023 were selected as the study subjects. Basic information (including demographic characteristics, previous disease history, female menstrual and reproductive history, sexual life history, etc.) was collected by a self-filling electronic questionnaire. Cervical secretions were detected by HPV nucleic acid typing. The multivariate logistic regression model was used to analyze the factors related to high-risk HPV (HR-HPV) infection in the target population. Results: The age of the subjects was (23±1) years old, and the infection rate of HPV was 14.51% (386 cases), among which the infection rates of HR-HPV and low-risk HPV were 13.53% (360 cases) and 1.84% (49 cases), respectively. The main subtypes of HR-HPV infection were HPV52, 16, 58, 39 and 66. The multivariate logistic regression model analysis showed that compared with the control group, the OR (95%CI) values for HR-HPV infection in the group of married, earned less than 2 000 yuan/month, drank alcohol occasionally, gynecological disease history, had two or more sexual partners in the past year, and did not know whether the partners had other sexual partners were 0.41 (0.25-0.66), 0.39 (0.21-0.70), 1.45 (1.13-1.86), 1.29 (1.00-1.66), 2.18-5.18 (1.02-16.05), and 1.82 (1.31-2.54), respectively. Conclusion: The infection rate of HPV among women aged 18-24 years old in Shanghai remains at a high level. The main subtypes of HR-HPV infection are HPV52, 16, 58, 39 and 66. The marital status, economic income level, drinking status, gynecological disease history and sexual life history are related to HR-HPV infection.
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Affiliation(s)
- J F Duan
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - X Guo
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Qiu
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - F Huang
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Li
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Z Li
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y J Zheng
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - X D Sun
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
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Judson MA, Qiu J, Dumas CL, Yang J, Sarachan B, Mitra J. An Artificial Intelligence Platform for the Radiologic Diagnosis of Pulmonary Sarcoidosis: An Initial Pilot Study of Chest Computed Tomography Analysis to Distinguish Pulmonary Sarcoidosis from a Negative Lung Cancer Screening Scan. Lung 2023; 201:611-616. [PMID: 37962584 DOI: 10.1007/s00408-023-00655-1] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 10/31/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE To determine the reliability of an artificial intelligence, deep learning (AI/DL)-based method of chest computer tomography (CT) scan analysis to distinguish pulmonary sarcoidosis from negative lung cancer screening chest CT scans (Lung Imaging Reporting and Data System score 1, Lung-RADS score 1). METHODS Chest CT scans of pulmonary sarcoidosis were evaluated by a clinician experienced with sarcoidosis and a chest radiologist for clinical and radiologic evidence of sarcoidosis and exclusion of alternative or concomitant pulmonary diseases. The AI/DL based method used an ensemble network architecture combining Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs). The method was applied to 126 pulmonary sarcoidosis and 96 Lung-RADS score 1 CT scans. The analytic approach of training and validation of the AI/DL method used a fivefold cross-validation technique, where 4/5th of the available data set was used to train a diagnostic model and tested on the remaining 1/5th of the data set, and repeated 4 more times with non-overlapping validation/test data. The probability values were used to generate Receiver Operating Characteristic (ROC) curves to assess the model's discriminatory power. RESULTS The sensitivity, specificity, positive and negative predictive value of the AI/DL method for the 5 folds of the training/validation sets and the entire set of CT scans were all over 94% to distinguish pulmonary sarcoidosis from LUNG-RADS score 1 chest CT scans. The area under the curve for the corresponding ROC curves were all over 97%. CONCLUSION This AL/DL model shows promise to distinguish sarcoidosis from alternative pulmonary conditions using minimal radiologic data.
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Affiliation(s)
- Marc A Judson
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Albany Medical College, MC-91; 16 New Scotland, Albany, NY, 12208, USA.
| | | | - Camille L Dumas
- Cardiovascular Division, Department of Radiology, Albany Medical College, Albany, NY, USA
| | - Jun Yang
- Albany Medical College, Albany, NY, USA
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Li N, Qiu J, Liang NP, Wu MB, Zhang XT, Zhang H, Dong YF. [Relationship between the neutrophil-to-lymphocyte ratio and estimated glomerular filtration rate in patients with primary aldosteronism: a cross-sectional study]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1145-1151. [PMID: 37963749 DOI: 10.3760/cma.j.cn112148-20230724-00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Objective: To investigate the associations between neutrophil-to-lymphocyte ratio (NLR) and estimated glomerular filtration rate (eGFR) in patients with primary aldosteronism (PA). Methods: This study was a cross-sectional study. Consecutive patients diagnosed with PA and admitted to the Second Affiliated Hospital of Nanchang University from October 2017 to April 2022 were enrolled. General information, blood routine, renal function, and other clinical data of the patients were collected. Based on the median NLR of the enrolled patients, NLR
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Affiliation(s)
- N Li
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - J Qiu
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - N P Liang
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - M B Wu
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - X T Zhang
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - H Zhang
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Y F Dong
- Cardiovascular Department, Second Affiliated Hospital of Nanchang University, Nanchang 330006, China Key Laboratory of Molecular Biology in Jiangxi Province, Nanchang 330006, China
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Wang W, Wang K, Qiu J, Li W, Wang X, Zhang Y, Wang X, Wu J. MRI-based radiomics analysis of bladder cancer: prediction of pathological grade and histological variant. Clin Radiol 2023; 78:e889-e897. [PMID: 37633748 DOI: 10.1016/j.crad.2023.07.020] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/08/2023] [Accepted: 07/26/2023] [Indexed: 08/28/2023]
Abstract
AIM To develop magnetic resonance imaging (MRI)-based radiomics models for the prediction of the pathological grade and histological variant of bladder cancer. MATERIALS AND METHODS A total of 227 patients who underwent bladder MRI and had histopathologically confirmed grades and variants were included retrospectively from January 2017 to March 2022. They were assigned to a training set (n=131) and a testing set (n=96) based on the MRI system. MRI-based radiomics features were extracted from manually segmented volumes of interest from high-b-value DWI images and ADC maps. The radiomics models were trained with all possible pipelines in the training set. One optimal model was selected using the fivefold cross-validation method and verified by the testing set according to the pathological results. Univariate and multivariate analyses were performed to identify the significant clinical and imaging factors for developing clinical-radiomics models. RESULTS The radiomics model for grade prediction had area under the curve (AUC) values of 0.784, 0.786, and 0.733 in the training, cross-validation, and testing sets, respectively. The radiomics model for variant prediction had AUC values of 0.748, 0.757, and 0.789 in the training, cross-validation, and testing sets, respectively. The performance of the clinical-radiomics model was significantly improved compared with the radiomics models alone for the total dataset (AUC for grade: 0.846 versus 0.756; AUC for variant: 0.810 versus 0.757, p<0.05). CONCLUSION MRI-based radiomics models could be used to predict the pathological grade and histological variants of bladder cancer with relatively good performance.
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Affiliation(s)
- W Wang
- Department of Radiology, Peking University First Hospital, Beijing, China
| | - K Wang
- Capital Medical University, School of Basic Medical Sciences, Beijing, China
| | - J Qiu
- Department of Radiology, Peking University First Hospital, Beijing, China
| | - W Li
- Department of Radiology, Peking University First Hospital, Beijing, China
| | - X Wang
- Department of Radiology, Peking University First Hospital, Beijing, China
| | - Y Zhang
- Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China
| | - X Wang
- Beijing Smart Tree Medical Technology Co. Ltd., Beijing, China
| | - J Wu
- Department of Radiology, Peking University First Hospital, Beijing, China.
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Wang J, Yu L, Qiu J, Yang B, Pang T, Wang Z, Zhu H, Liang Y. Application of the Ion Chamber Array in Magnetic Resonance Accelerator QA. Int J Radiat Oncol Biol Phys 2023; 117:e734. [PMID: 37786134 DOI: 10.1016/j.ijrobp.2023.06.2258] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The magnetic resonance accelerator (MR-Linac) is gradually widely used due to high-quality soft tissue contrast and real-time tracking. However, the special dosimetry characteristics and wide field sizes of MR-Linac increase the QA difficulty with conventional measurement method. The purpose of this study was to confirm an ion chamber array could be used for measuring the beam quality, the profiles, as well as the positioning accuracy of all MLC leaves efficiently, by comparing results with the conventional method. To propose a new QA approach for solving the common problem in data acquisition caused by the wide fields of MR-Linac. MATERIALS/METHODS The research was based on a MR-Linac fixed with 1.5T MR and 7MeV energy photon beam. The conventional QA method adopted the MR water tank with a gantry angle of 0°and an SSD of 133.5 cm, both microdiamond and ionization chamber detector were used to acquire the dose profiles (PDD, inline, crossline and diagonal). Field sizes 1 × 1 cm2, 2 × 2 cm2, 3 × 3 cm2, 5 × 5 cm2, 10 × 10 cm2, 15 × 15 cm2, 22 × 22 cm2, 40 × 22 cm2,57 × 22 cm2 were measured with depth 13mm, 50mm, 100mm for vertical beam. As for the wide fields (larger than 15 × 15 cm2), two profiles of x axis (one from left to right, the other from right to left) needed to be gathered and then stitched into one final profile. A boot phantom with an ionization chamber detector was used for measuring beam quality. We defined the profiles measured by conventional method as the baseline. An ion chamber array was adopted to acquire TPR, PDD, profiles and MLC positioning, comparing to the conventional method. The center of ion chamber array was placed to the isocenter of MR-Linac, the array could move to the right and left offset positions through engaging the pin into correct hole of QA platform, such 'once positioning and twice movements' operation could finish within 3 minutes. The central detector of the ion chamber array was used for measuring beam quality. TPRs for different depths were acquired by stacking solid water on the ion chamber array. As for the profiles, we could get the final profile by 'once positioning and twice movements' efficiently. As for the positioning accuracy of MLC leaves, firstly the central leaf pair was put on y = 0 to measure 'open profile' under the open field. Then we moved the MLC leaves to different positions to get the n profile (n for different leaf positions). The ratio of n profile to open profile could show the positioning accuracy of MLC. RESULTS We adopted 2D gamma (1mm / 2%) to compare the profiles between the ion chamber array and the conventional method, the results were within 98%. The beam quality consistency of ion chamber array comparing to the wedge tank was within 1% according to daily measurement. The ion chamber array could reflect the MLC positioning differences, the sensitivity was 0.5 mm. CONCLUSION The ion chamber array showed a convenient QA method both for the dosimetry and for the MLC positioning accuracy which did reduce the overall measurement time, it was recommended for daily and monthly QA for MR-Linac.
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Affiliation(s)
- J Wang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Yu
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - J Qiu
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - B Yang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - T Pang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Z Wang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - H Zhu
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Liang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Wang Z, Yang B, Meng X, Liang Y, Pang T, Qiu J. Performance Evaluation in Automatic Plan Generation for Ethos Intelligent Optimization Engine. Int J Radiat Oncol Biol Phys 2023; 117:e736. [PMID: 37786140 DOI: 10.1016/j.ijrobp.2023.06.2263] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate the automatic optimization performance and clinical feasibility of the Intelligent Optimization Engine (IOE) of Ethos online adaptive radiotherapy platform. MATERIALS/METHODS Eleven patients with cervical cancer treated with Halcyon accelerator were retrospectively selected. All the patients manually planned with four full arc volume rotating intensity modulated radiotherapy (VMAT) (Manual-4Arc), and the prescription dose was 45 Gy/25F. All patient images and structures were imported into Ethos simulator, and clinical goals were added appropriately based on clinical requirements. The target coverage was normalized to 95%. 7F, 9F, 12F IMRT plans and 2Arc, 3Arc VMAT plans were automatically generated by IOE. Dosimetric index comparisons were made among the Manual-4Arc plans and five group IOE generated plan to evaluate the automatic optimization performance of IOE. RESULTS In terms of hot dose area, for PTV, D1% of IMRT-12F plans was the lowest, and there were significant differences between IMRT-12F plans and Manual-4Arc plans (46.936 ± 0.241 vs 48.639 ± 2.395, p = 0.004); In terms of target coverage, the CTVs of all groups meet clinical requirements. Although the Ethos online adaptive plans have been normalized during planning, the PTV coverage is slightly insufficient (12F: 94.913 ± 0.154; 9F: 94.585 ± 1.148). For OARs close to target, such as bladder, V30Gy, V40Gy and Dmean have significant differences among the six group plans. The order of bladder dose is basically followed by IMRT-12F CONCLUSION The plans automatically generated by Ethos IOE can achieve similar performance as the manual plan, and the automatically generated IMRT-12F and 9F plans are preferred for clinical use.
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Affiliation(s)
- Z Wang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - B Yang
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Meng
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - T Pang
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - J Qiu
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Guo X, Duan JF, Li Z, Qiu J, Ma XY, Huang ZY, Hu JY, Liang XF, Sun XD. [Analysis of the direct economic burden of measles cases and its influencing factors in Shanghai from 2017 to 2019]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:857-862. [PMID: 37357204 DOI: 10.3760/cma.j.cn112150-20220608-00591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Objective: To analyze the direct economic burden caused by measles cases in Shanghai from 2017 to 2019 and its influencing factors. Methods: A total of 161 laboratory-confirmed measles cases reported from January 1, 2017, to December 31, 2019, in Shanghai were included in the study through the "Measles Surveillance Information Reporting and Management System" of the "China Disease Surveillance Information Reporting and Management System". Through telephone follow-up and consulting hospital data, the basic information of population, medical treatment situation, medical treatment costs and other information were collected, and the direct economic burden of cases was calculated, including registration fees, examination fees, hospitalization fees, medical fees and other disease treatment expenses, as well as transportation and other expenses of cases. The multiple linear regression model was used to analyze the main influencing factors of the direct economic burden. Results: The age of 161 measles cases M (Q1, Q3) was 28.21 (13.33, 37.00) years. Male cases (56.52%) were more than female cases (43.48%). The largest number of cases was≥18 years old (70.81%). The total direct economic burden of 161 measles cases was 540 851.14 yuan, and the per capita direct economic burden was 3 359.32 yuan. The direct economic burden M (Q1, Q3) was 873.00 (245.01, 4 014.79) yuan per person. The results of multiple linear regression model analysis showed that compared with other and unknown occupations, central areas and non-hospitalized cases, the direct economic burden of measles cases was higher in scattered children, childcare children, students, and cadre staff in the occupational distribution, suburban areas and hospitalized, with the coefficient of β (95%CI) values of 0.388 (0.150-0.627), 0.297 (0.025-0.569), 0.327 (0.148-0.506) and 1.031 (0.853-1.209), respectively (all P values<0.05). Conclusion: The direct economic burden of some measles cases in Shanghai is relatively high. Occupation, area of residence and hospitalization are the main factors influencing the direct economic burden of measles cases.
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Affiliation(s)
- X Guo
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J F Duan
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Z Li
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Qiu
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X Y Ma
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Z Y Huang
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Y Hu
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X F Liang
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X D Sun
- Department of immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
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11
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Li ZY, Wang B, Zheng BB, Qiu J. [A preliminary report of laparoscopic extraperitoneal colostomy anterior to posterior sheath of rectus abdominis-transversus abdominis to prevent parastomal hernia]. Zhonghua Wai Ke Za Zhi 2023; 61:481-485. [PMID: 37088480 DOI: 10.3760/cma.j.cn112139-20220903-00375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Objective: To examine the preliminary effect of laparoscopic extraperitoneal colostomy anterior to posterior sheath of rectus abdominis-transversus abdominis for the prevention of parastomal hernia after abdominoperineal resection for rectal cancer. Methods: This study is a prospective case series study. From June 2021 to June 2022, patients with low rectal cancer underwent laparoscopic abdominoperineal resection combined with extraperitoneal colostomy anterior to posterior sheath of rectus abdominis-transversus abdominis at the First Department of General Surgery, Shaanxi Provincial People's Hospital were enrolled. The clinical data and postoperative CT images of patients were collected to analyze the incidence of surgical complication and parastomal hernia. Results: Totally 6 cases of patient were enrolled, including 3 males and 3 females, aging 72.5 (19.5) years (M(IQR)) (range: 55 to 79 years). The operation time was 250 (48) minutes (range: 190 to 275 minutes), the stoma operation time was 27.5 (10.7) minutes (range: 21 to 37 minutes), the bleeding volume was 30 (35) ml (range: 15 to 80 ml). All patients were cured and discharged without surgery-related complications. The follow-up time was 136 (105) days (range: 98 to 279 days). After physical examination and abdominal CT follow-up, no parastomal hernia occurred in the 6 patients up to this article. Conclusions: A method of laparoscopic extraperitoneal colostomy anterior to posterior sheath of rectus abdominis-transversus abdominis is established. Permanent stoma can be completed with this method safely. It may have a preventive effect on the occurrence of parastomal hernia, which is worthy of further study.
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Affiliation(s)
- Z Y Li
- First Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an 710068, China
| | - B Wang
- First Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an 710068, China
| | - B B Zheng
- First Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an 710068, China
| | - J Qiu
- First Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an 710068, China
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12
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Liu Q, Gu L, Qiu J, Qian J. Elevated NDC1 expression predicts poor prognosis and correlates with immunity in hepatocellular carcinoma. J Gastrointest Oncol 2023; 14:245-264. [PMID: 36915467 PMCID: PMC10007937 DOI: 10.21037/jgo-22-1166] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 02/02/2023] [Indexed: 03/02/2023] Open
Abstract
Background NDC1 was identified to be a tumor-promoting factor in non-small cell lung cancer and cervical cancer. However, no report had clarified the relationship between NDC1 and hepatocellular carcinoma (HCC). In this paper, we explored the expression and potential functions of NDC1 in HCC for the first time through the rational application of bioinformatics and relevant basic experiments. Methods NDC1-related expression profiles and clinical data of HCC patients were collected from The Cancer Genome Atlas (TCGA) database, which were verified via quantitative real-time polymerase chain reaction (qRT-PCR), immunohistochemistry and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) database. Univariate and multivariate Cox regression analyses were used to identify NDC1 as an independent factor for HCC prognosis, and NDC1-related signaling pathways were determined by gene set enrichment analysis (GSEA). Furthermore, we deeply probed the potential links of NDC1 to immunity and immune response. Finally, the bioeffects and underlying mechanisms of ectopic NDC1 overexpression and depletion were determined in HepG2 cells by immunoblotting, flow cytometry, Cell-Counting-Kit-8 (CCK-8), and EDU (5-Ethynyl-2'-deoxyuridine). Results Up-regulated expression of NDC1 was detected by means of the TCGA database, which was consistent with the results obtained from further qRT-PCR, immunohistochemistry and the CPTAC database. Kaplan-Meier (K-M) survival analysis revealed a worse prognosis in HCC patients with high NDC1 expression. Besides, NDC1 was certified to be closely linked to tumor histologic grade, clinical stage and T stage. Moreover, univariate and multivariate Cox regression analyses defined NDC1 as an independent element for HCC prognosis. NDC1-related signaling pathways, utilizing GSEA analysis, were subsequently found out. What's more, NDC1 expression was detected to be enormously associated with microsatellite instability (MSI), immune cell infiltration, immune checkpoint molecules and immune cell pathways. As for immunotherapy, we discovered that different risk groups tended to have different immune checkpoint inhibitor responses, which indicated crucial implication value of NDC1 for HCC immunotherapy. More interestingly, we observed that the overexpression of NDC1 could promote the migration and invasion of HCC cells. Conclusions Our article demonstrated that NDC1 might serve as a valuable predictor in the prognosis and immunotherapy of HCC. NDC1 played an oncogenic role in HCC.
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Affiliation(s)
- Qingqing Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Nantong University, Nantong, China.,Department of Gastroenterology, The First People's Hospital of Nantong, Nantong, China
| | - Liugen Gu
- Department of Gastroenterology, The Second Affiliated Hospital of Nantong University, Nantong, China.,Department of Gastroenterology, The First People's Hospital of Nantong, Nantong, China
| | - Jianwei Qiu
- Department of Gastroenterology, The Second Affiliated Hospital of Nantong University, Nantong, China.,Department of Gastroenterology, The First People's Hospital of Nantong, Nantong, China
| | - Junbo Qian
- Department of Gastroenterology, The Second Affiliated Hospital of Nantong University, Nantong, China.,Department of Gastroenterology, The First People's Hospital of Nantong, Nantong, China
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13
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Chen X, Zhou S, Qiu J, Chen L, Xu Z, Ji M, Guo J, Zhang R. [Application of the "virtual-real combination" experimental teaching model in Human Parasitology teaching: a case study of comprehensive schistosome experiments]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2022; 35:180-183. [PMID: 37253568 DOI: 10.16250/j.32.1374.2022199] [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] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Information technology has become an important driver to facilitate higher education developments in the context of new medical sciences. A new "virtual-real combination" experimental teaching model was designed and created through integrating information technology with experimental teaching by Experimental Teaching Center of Basic Medical Sciences and Department of Pathogen Biology, Nanjing Medical University and was applied in Human Parasitology teaching, which achieved satisfactory teaching effectiveness. This new model showed effective to deepen the understanding of the basic human parasitology knowledge, improve the operative skills, and cultivate the moral literacy and comprehensive capability among medical students. This report presents the teaching protocols and implementation, teaching effectiveness and evaluation, and experiences of comprehensive schistosome experiments.
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Affiliation(s)
- X Chen
- Department of Pathogen Biology, School of Basic Medical Sciences, Nanjing Medical University, Key Laboratory of Pathogen Biology of Jiangsu Province, Nanjing, Jiangsu 211166, China
| | - S Zhou
- Department of Pathogen Biology, School of Basic Medical Sciences, Nanjing Medical University, Key Laboratory of Pathogen Biology of Jiangsu Province, Nanjing, Jiangsu 211166, China
| | - J Qiu
- Department of Pathogen Biology, School of Basic Medical Sciences, Nanjing Medical University, Key Laboratory of Pathogen Biology of Jiangsu Province, Nanjing, Jiangsu 211166, China
| | - L Chen
- Department of Pathogen Biology, School of Basic Medical Sciences, Nanjing Medical University, Key Laboratory of Pathogen Biology of Jiangsu Province, Nanjing, Jiangsu 211166, China
| | - Z Xu
- Department of Pathogen Biology, School of Basic Medical Sciences, Nanjing Medical University, Key Laboratory of Pathogen Biology of Jiangsu Province, Nanjing, Jiangsu 211166, China
| | - M Ji
- Department of Pathogen Biology, School of Basic Medical Sciences, Nanjing Medical University, Key Laboratory of Pathogen Biology of Jiangsu Province, Nanjing, Jiangsu 211166, China
| | - J Guo
- Personnel Department, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - R Zhang
- Experimental Teaching Center of Basic Medical Sciences, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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Xie X, Lu W, Qiu J, Cheng Z. Metabolic and Textural Changes in the Brain of Lung Cancer Patients: A Total-Body PET/CT Study. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Abstract
It is generally believed that marsupials are more primitive than placentals mammals and mainly solitary living, representing the ancestral form of social organization of all mammals. However, field studies have observed pair and group-living in marsupial species, but no comparative study about their social evolution was ever done. Here, we describe the results of primary literature research on marsupial social organization which indicates that most species can live in pairs or groups and many show intra-specific variation in social organization. Using Bayesian phylogenetic mixed-effects models with a weak phylogenetic signal of 0.18, we found that solitary living was the most likely ancestral form (35% posterior probability), but had high uncertainty, and the combined probability of a partly sociable marsupial ancestor (65%) should not be overlooked. For Australian marsupials, group-living species were less likely to be found in tropical rainforest, and species with a variable social organization were associated with low and unpredictable precipitation representing deserts. Our results suggest that modern marsupials are more sociable than previously believed and that there is no strong support that their ancestral state was strictly solitary living, such that the assumption of a solitary ancestral state of all mammals may also need reconsideration.
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Affiliation(s)
- J. Qiu
- School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Private Bag 3, WITS 2050, Johannesburg, South Africa
- IPHC, UNISTRA, CNRS, 23 rue du Loess, 67200 Strasbourg, France
| | - C. A. Olivier
- School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Private Bag 3, WITS 2050, Johannesburg, South Africa
- IPHC, UNISTRA, CNRS, 23 rue du Loess, 67200 Strasbourg, France
| | - A. V. Jaeggi
- Institute of Evolutionary Medicine, University of Zurich, Wintherthurerstrasse 190, 8057 Zurich, Switzerland
| | - C. Schradin
- School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Private Bag 3, WITS 2050, Johannesburg, South Africa
- IPHC, UNISTRA, CNRS, 23 rue du Loess, 67200 Strasbourg, France
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Li W, Kang Z, Li S, Lin Y, Li Y, Mao Y, Zhang J, Lei T, Wang H, Su Y, Yang Y, Qiu J. 302P A multicenter, open-label, dose-escalation (DE), first-in-human study of VEGFRs and CSF1R inhibitor SYHA1813 in patients (pts) with recurrent high-grade gliomas (HGG) or advanced solid tumors. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Qiu J, Zhang Q, Tan Y, Duan Q, Qi C, Sun T. 769P Analysis of PMS2 mutation as a potential biomarker for melanoma immunotherapy. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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18
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Jiang Y, Qiu J, Meng F. Existence and finite-time stability results of fuzzy Hilfer-Katugampola fractional delay differential equations1. IFS 2022. [DOI: 10.3233/jifs-220588] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In this article, we explore the question of existence and finite time stability for fuzzy Hilfer-Katugampola fractional delay differential equations. By using the generalized Gronwall inequality and Schauder’s fixed point theorem, we establish existence of the solution, and the finite time stability for the presented problems. Finally, the effectiveness of the theoretical result is shown through verification and simulations for an example.
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Affiliation(s)
- Yirong Jiang
- College of Science, Guilin University of Technology, Guilin, Guangxi, P.R. China
| | - Jianwei Qiu
- Business School, Guilin University of Technology, Guilin, Guangxi, P.R. China
| | - Fangxiu Meng
- College of Science, Guilin University of Technology, Guilin, Guangxi, P.R. China
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 372] [Impact Index Per Article: 186.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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Gao Y, Qiu J, Gu L, Yang Y, Kang H, Zhang Y, Zhang S, Zhang Y, Wang H, Zhang Y, Qian J. Secondary primary lung cancer after esophageal cancer: a population-based study of 44,172 patients. Scand J Gastroenterol 2022; 57:222-231. [PMID: 34726133 DOI: 10.1080/00365521.2021.1994639] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND The present study aimed to assess the survival, incidence, and characteristics of secondary primary lung cancer (SPLC) after esophageal cancer (EC-LC). METHODS The patients with esophageal cancer (EC) who developed SPLC and patients with first primary lung cancer (LC-1) were retrospectively reviewed in the Surveillance, Epidemiology, and End Results 18 registries covering 2000-2016. Overall survival and characteristics were compared between patients with EC-LC and patients with LC-1. The independent relation between a history of EC and death was evaluated by calculating hazard ratios in multivariate Cox regression analysis propensity score-matching analysis, and multiple imputation for cases with missing information. RESULTS In comparison with the general population, the patients with EC had a higher risk for developing secondary primary lung cancer (SIR =1.86, 95% confidence interval (CI): 1.69-2.05). A history of EC was found to be an independent risk factor of death for lung squamous carcinoma (LUSC) and lung adenocarcinoma (LUAD) patients in localized stage based on multivariate Cox regression analysis, propensity score-matching analysis and multiple imputation. CONCLUSIONS There is a significantly increased risk of secondary primary lung cancer in EC survivors and a history of EC adversely affects overall survival in individuals who subsequently develop localized LUSC and LUAD. Clinicians should moderately strengthen lung tissue protection during the management of EC patients.
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Affiliation(s)
- Yadong Gao
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China.,Medical Research Center, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Nantong Clinical College of Kangda College, Nanjing Medical University, Nantong, Jiangsu, China
| | - Jianwei Qiu
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China.,Medical Research Center, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China
| | - Liugen Gu
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China
| | - Yanmei Yang
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China.,Medical Research Center, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China
| | - Haifeng Kang
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China
| | - Yong Zhang
- Medical Research Center, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China
| | - Shenglai Zhang
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China
| | - Yan Zhang
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China.,Medical Research Center, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China
| | - Huimin Wang
- Department of Cardiovasology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China
| | - Yi Zhang
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China
| | - Junbo Qian
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.,Department of Gastroenterology, the First People's Hospital of Nantong, Nantong, Jiangsu, China.,Medical Research Center, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China
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21
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Mitra J, Qiu J, MacDonald M, Venugopal P, Wallace K, Abdou H, Richmond M, Elansary N, Edwards J, Patel N, Morrison J, Marinelli L. Automatic Hemorrhage Detection From Color Doppler Ultrasound Using a Generative Adversarial Network (GAN)-Based Anomaly Detection Method. IEEE J Transl Eng Health Med 2022; 10:1800609. [PMID: 36051823 PMCID: PMC9423818 DOI: 10.1109/jtehm.2022.3199987] [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] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/21/2022] [Accepted: 08/10/2022] [Indexed: 11/21/2022]
Abstract
Hemorrhage control has been identified as a priority focus area both for civilian and military populations in the United States because exsanguination is the most common cause of preventable death in hemorrhagic injury. Non-compressible torso hemorrhage (NCTH) has high mortality rate and there are currently no broadly available therapies for NCTH outside of a surgical room environment. Novel therapies, which include High Intensity Focused Ultrasound (HIFU) have emerged as promising methods for hemorrhage control as they can non-invasively cauterize bleeding tissue deep within the body without injuring uninvolved regions. A major challenge in the application of HIFU with color Doppler US guidance is the interpretation and optimization of the blood flow images in real-time to identify the hemorrhagic focus. Today, this task requires an expert sonographer, limiting the utility of this therapy in non-clinical environments. In this work, we investigated the feasibility of an automated hemorrhage detection method using a Generative Adversarial Network (GAN) for anomaly detection that learns a manifold of normal blood flow variability and subsequently identifies anomalous flow patterns that fall outside the learned manifold. As an initial feasibility study, we collected ultrasound color Doppler images of femoral arteries in an animal model of vascular injury (N = 11 pigs). Velocity information of the blood flow were extracted from the color Doppler images that were used for training and testing the anomaly detection network. Normotensive images from 8 pigs were used for training, and testing was performed on normotensive, immediately after injury, 10 minutes post-injury and 30 minutes post-injury images from 3 other pigs. The residual images or the reconstructed error maps show promise in detecting hemorrhages with an AUC of 0.90, 0.87, 0.62 immediately, 10 minutes post-injury and 30 minutes post-injury respectively with an overall AUC of 0.83.
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Affiliation(s)
| | | | | | | | | | - Hossam Abdou
- School of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Michael Richmond
- School of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Noha Elansary
- School of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Joseph Edwards
- School of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Neerav Patel
- School of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Jonathan Morrison
- School of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
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22
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Guo X, Li Z, Yang JP, Hu JY, Huang ZY, Qiu J, Ma XY, Duan JF, Sun XD. [Enlightment of routine vaccination under the prevention and control of COVID-19 based on the circulating event of type Ⅲ vaccine-derived poliovirus in Shanghai]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1377-1382. [PMID: 34963232 DOI: 10.3760/cma.j.cn112150-20210809-00772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Since the Global Polio Eradication Initiative was launched by the World Health Assembly in 1988, significant progress has been made in global polio prevention and control. But the occurrence of vaccine-associated paralytic poliomyelitis cases and vaccine-derived poliovirus related cases have become a major challenge during the post-polio era. While coronavirus disease 2019(COVID-19) has brought serious disease burden and economic burden to all countries in the world, prevention and control of vaccine-preventable infectious diseases such as polio should not be neglected under the background of the global common fight against COVID-19. Taking the type Ⅲ VDPV cycle event in Shanghai as an example, the paper discussed how to do a good job of routine inoculation under the prevention and control of COVID-19 to strictly prevent the outbreak of vaccine-preventable infectious diseases.
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Affiliation(s)
- X Guo
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Z Li
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J P Yang
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Y Hu
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Z Y Huang
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Qiu
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X Y Ma
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J F Duan
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - X D Sun
- Department of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
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23
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Quintanal-Villalonga A, Taniguchi H, Zhan Y, Hasan M, Chavan S, Uddin F, Allaj V, Manoj P, Shah N, Chan J, Chow A, Offin M, Bhanot U, Egger J, Qiu J, De Stanchina E, Chang J, Rekhtman N, Houck-Loomis B, Koche R, Yu H, Sen T, Rudin C. MA11.06 Multi-Omic Characterization of Lung Tumors Implicates AKT and MYC Signaling in Adenocarcinoma to Squamous Cell Transdifferentiation. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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24
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Quintanal-Villalonga A, Taniguchi H, Hao Y, Chow A, Zhan Y, Chavan S, Uddin F, Allaj V, Manoj P, Shah N, Chan J, Offin M, Egger J, Bhanot U, Qiu J, De Stanchina E, Sen T, Poirier J, Rudin C. MA16.03 CRISPR Screen Reveals XPO1 as a Therapeutic Target Strongly Sensitizing to First and Second Line Therapy in Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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25
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de Groot M, Anderson H, Bauer H, Bauguil C, Bellone RR, Brugidou R, Buckley RM, Dovč P, Forman O, Grahn RA, Kock L, Longeri M, Mouysset‐Geniez S, Qiu J, Sofronidis G, van der Goor LHP, Lyons LA. Standardization of a SNP panel for parentage verification and identification in the domestic cat (Felis silvestris catus). Anim Genet 2021; 52:675-682. [PMID: 34143521 PMCID: PMC8519126 DOI: 10.1111/age.13100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2021] [Indexed: 01/02/2023]
Abstract
The domestic cat (Felis silvestris catus) is a valued companion animal throughout the world. Over 60 different cat breeds are accepted for competition by the cat fancy registries in different countries. Genetic markers, including short tandem repeats and SNPs, are available to evaluate and manage levels of inbreeding and genetic diversity, population and breed structure relationships, and individual identification for forensic and registration purposes. The International Society of Animal Genetics (ISAG) hosts the Applied Genetics in Companion Animals Workshop, which supports the standardization of genetic marker panels and genotyping for the identification of cats via comparison testing. SNP panels have been in development for many species, including the domestic cat. An ISAG approved core panel of SNPs for use in cat identification and parentage analyses is presented. SNPs (n = 121) were evaluated by different university-based and commercial laboratories using 20 DNA samples as part of the ISAG comparison testing procedures. Different SNP genotyping technologies were examined, including DNA arrays, genotyping-by-sequencing and mass spectroscopy, to select a robust and efficient panel of 101 SNPs as the ISAG core panel for cats. The SNPs are distributed across all chromosomes including two on the X chromosome and an XY pseudo-autosomal sexing marker (zinc-finger XY; ZFXY). A population study demonstrated that the markers have an average polymorphic information content of 0.354 and a power of exclusion greater than 0.9999. The SNP panel should keep testing affordable while also allowing for the development of additional panels to monitor health, phenotypic traits, hybrid cats and highly inbred cats.
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Affiliation(s)
- M. de Groot
- MolGenTraverse 2VeenendaalUtrecht3905NLThe Netherlands
| | | | - H. Bauer
- Laboklin GMBH & Co. KGBad Kissingen97688Germany
| | | | - R. R. Bellone
- Veterinary Genetics LaboratorySchool of Veterinary MedicineUniversity of CaliforniaDavisCA95616USA
- Population Health and ReproductionSchool of Veterinary MedicineUniversity of CaliforniaDavisCA95616USA
| | | | - R. M. Buckley
- Department of Veterinary Medicine and SurgeryCollege of Veterinary MedicineUniversity of MissouriColumbiaMO65211USA
| | - P. Dovč
- Department of Animal ScienceBiotechnical FacultyUniversity of LjubljanaLjubljana1000Slovenia
| | | | - R. A. Grahn
- Veterinary Genetics LaboratorySchool of Veterinary MedicineUniversity of CaliforniaDavisCA95616USA
| | - L. Kock
- Neogen GenomicsLincolnNE68504USA
| | - M. Longeri
- Department of Veterinary MedicineUniversity of MilanMilan20133Italy
| | | | - J. Qiu
- Neogen GenomicsLincolnNE68504USA
| | - G. Sofronidis
- Orivet Genetic Pet CareSuite St. KildaMelbourneVic.3182Australia
| | | | - L. A. Lyons
- Department of Veterinary Medicine and SurgeryCollege of Veterinary MedicineUniversity of MissouriColumbiaMO65211USA
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26
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Quintanal-Villalonga Á, Taniguchi H, Hao Y, Chow A, Zhan Y, Uddin F, Allaj V, Manoj P, Shah N, Chan J, Offin M, Ciampricotti M, Egger J, Qiu J, De Stanchina E, Hollmann T, Koche R, Sen T, Poirier J, Rudin C. 2MO XPO1 inhibition strongly sensitizes to first-line and second-line therapy in small cell lung cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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27
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Quintanal-Villalonga Á, Taniguchi H, Zhan Y, Hasan M, Chavan S, Uddin F, Allaj V, Manoj P, Shah N, Ciampricotti M, Bhanot U, Egger J, Qiu J, De Stanchina E, Rekhtman N, Houck-Loomis B, Koche R, Yu H, Sen T, Rudin C. 1MO Multi-omic characterization of lung tumors identify AKT and EZH2 as potential therapeutic targets in adenocarcinoma-to-squamous transdifferentiation. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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28
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Chen J, Wei W, Zheng L, Li H, Feng Y, Wan T, Huang Q, Liu G, Tu H, Qiu J, Jiang X, Xiong Y, Zheng M, Li J, Huang H, Song L, Liu J, Zhang Y. 732P Anlotinib plus pemetrexed in patients with platinum-resistant ovarian cancer: A single-arm, open-label, phase II study. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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29
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Quintanal-Villalonga Á, Taniguchi H, Zhan Y, Hasan M, Chavan S, Uddin F, Allaj V, Manoj P, Shah N, Chan J, Ciampricotti M, Chow A, Bhanot U, Egger J, Qiu J, De Stanchina E, Rekhtman N, Yu H, Sen T, Rudin C. 1800O Multi-omic characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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30
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Wang CX, Liu C, Qiu L, Qiu J, Yan CF, Wang NN, Wang HQ. [Control study of chest CT imaging features of aluminosis and silicosis patients]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:534-537. [PMID: 34365767 DOI: 10.3760/cma.j.cn121094-20200904-00517] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the chest CT features of aluminosis caused by alumina and to improve the understanding of the imaging findings of alumina pneumoconiosis. Methods: The chest CT findings of 17 cases of alumina-induced pneumoconiosis and 30 cases of silicosis (the control group) diagnosed in Zibo Occupational Disease Prevention Hospital from April 2015 to July 2020 were analyzed retrospectively. The characteristics of fibrosis of the two kinds of pneumoconiosis and the incidence of size, density, distribution, tractive bronchiectasis, pleural thickening and interlobular septal thickening of pneumoconiosis nodules were compared. Results: Alumina pneumoconiosis showed nodules with thickened interlobular septal of 66.67% (12/18) , honeycomb lung of 22.22% (4/18) , ground glass shadow of 61.11% (11/18) , simple nodules of 11.11% (2/18) , and no fusion mass. In the control group, the long-line fibrosis of nodules with thickened interlobular septal were 16.67% (5/30) , 6.67% (2/30) with honeycomb lung and ground glass density shadow, 23.33% (7/30) with fusion mass and 53.33% (16/30) with simple nodule. There were significant differences in CT findings of nodules with thickened interlobular septal, ground glass density shadow, fused mass and simple nodules between the two groups (P<0.05) . The interstitial beaded nodules were seen in 18 cases of alumina pneumoconiosis, 50.00% (9/18) of them were beaded nodules, 61.33% (46/75) of low density nodules and 38.89% (7/18) of central lobular nodules were seen in alumina pneumoconiosis. The average width of nodules was (1.29±0.38) mm. Central lobular nodules were seen in all 30 cases of silicosis, 10.00% (3/30) were mainly beaded nodules, low density nodules were 36.29% (90/248) , and the average width diameter of nodules was (1.85±0.58) mm. There were significant differences between the two groups (P<0.05) . Alumina pneumoconiosis was often accompanied by traction bronchiectasis, pleural thickening and interlobular septal thickening (11, 18, 17 cases, 61.11%, 100.00%, 94.44%) , compared with the control group (9, 18, 18 cases, 30.00%, 60.00%, 60.00%) . The differences were statistically significant (P<0.05) . The maximum CT value of noncalcified mediastinal lymphnodes in alumina pneumoconiosis was (103.43±26.33) HU, which was higher than that of the control group[ (75.22±16.70) HU], and the difference was statistically significant (P<0.05) . Conclusion: Alumina pneumoconiosis chest CT shows slightly low-density beaded nodules, thickened interlobular septal, and pulmonary interstitial fibrosis of ground-glass shadows, mostly combines with stretched bronchiectasis, thickened pleura, and mediastinum increased lymph node density.
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Affiliation(s)
- C X Wang
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - C Liu
- Shandong Medical Imaging Research Institute, Jinan 250021, China
| | - L Qiu
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - J Qiu
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - C F Yan
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - N N Wang
- Zibo Occupational Disease Prevention Hospital, Zibo 255000, China
| | - H Q Wang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Gao L, Liu H, Xu R, Qiu J, Peng X, Yang Y, Zhang D, Qian J. ADAM17 and NF-κB p65 form a positive feedback loop that facilitates human esophageal squamous cell carcinoma cell viability. Int J Clin Exp Pathol 2021; 14:845-854. [PMID: 34367416 PMCID: PMC8339723] [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] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 05/10/2021] [Indexed: 06/13/2023]
Abstract
A Disintegrin and metalloproteinase 17 (ADAM17) was proposed to cooperate with NF-κB p65, promoting tumorigenesis and progression of several human cancers. However, the role of ADAM17 remains unknown in human esophageal squamous cell carcinoma (ESCC). In this study, gene expression analyses and cell viability assays suggested that knockdown of ADAM17 suppressed ESCC cell viability. Gene expression analyses and ChIP-qPCR revealed that NF-κB p65 positively regulated ADAM17 expression by binding to the ADAM17 promoter. Rescue experiments showed that overexpression of ADAM17 in NF-κB p65-depleted ESCC cells restored cell viability. In addition, western blot analyses and ChIP-qPCR indicated that ADAM17 was responsible for the persistent activation of NF-κB p65 and contributed to ADAM17 expression in ESCC cells. In conclusion, we propose that ADAM17-activated NF-κB p65 signaling positively regulates ADAM17 expression, and facilitates ESCC cell viability.
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Affiliation(s)
- Lin Gao
- Medical Research Center, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Medical Research Center, The First People’s Hospital of NantongNantong 226001, China
| | - Hongbin Liu
- Department of Pathology, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Department of Pathology, The First People’s Hospital of NantongNantong 226001, China
| | - Rong Xu
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Department of Gastroenterology, The First People’s Hospital of NantongNantong 226001, China
| | - Jianwei Qiu
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Department of Gastroenterology, The First People’s Hospital of NantongNantong 226001, China
| | - Xiao Peng
- Medical Research Center, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Medical Research Center, The First People’s Hospital of NantongNantong 226001, China
| | - Yanmei Yang
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Department of Gastroenterology, The First People’s Hospital of NantongNantong 226001, China
| | - Dongmei Zhang
- Medical Research Center, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Medical Research Center, The First People’s Hospital of NantongNantong 226001, China
| | - Junbo Qian
- Department of Gastroenterology, Affiliated Hospital 2 of Nantong UniversityNantong 226001, China
- Department of Gastroenterology, The First People’s Hospital of NantongNantong 226001, China
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Affiliation(s)
- L J Zhao
- Hemodialysis Center, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China
| | - X L Sun
- Hemodialysis Center, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China
| | - J Qiu
- Hemodialysis Center, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China
| | - B L Xiao
- Hemodialysis Center, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China
| | - X Y Fan
- Hemodialysis Center, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China
| | - T Wang
- Hemodialysis Center, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China
| | - C L Li
- Department of Endocrinology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, China
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Meng Z, Qiu J, Zhang H. MiR-221-3p as a Potential Biomarker for Patients with Psoriasis and Its Role in Inflammatory Responses in Keratinocytes. Skin Pharmacol Physiol 2021; 34:300-306. [PMID: 34091460 DOI: 10.1159/000515114] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 07/23/2020] [Accepted: 02/04/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION This study investigated serum miR-221-3p levels in psoriatic patients and the characterization of serum miR-221-3p in keratinocyte inflammatory responses was further assessed. METHODS qRT-PCR was used to detect the expression level of miR-221-3p in the serum of 46 patients with psoriasis and 42 healthy controls. The receiver operating characteristic curve evaluated the diagnostic ability of miR-221-3p in psoriasis. The effect of miR-221-3p on HaCaT cell proliferation was detected by using a cell counting Kit-8 and Transwell. ELISA was used to detect serum and keratinocyte pro-inflammatory factors. RESULTS miR-221-3p was significantly increased in the serum of patients with psoriasis. The area under the curve was 0.861, the sensitivity was 80.4%, and the specificity was 85.7%. Serum miR-221-3p was positively correlated with the expression levels of tumor necrosis factor-α, interleukin (IL)-17A, and IL-22. Cell experiments showed that reducing the expression of miR-221-3p could significantly inhibit cell proliferation. Additionally, miR-221-3p downregulation also inhibited the release of some inflammatory factors in the HaCaT cells. DISCUSSION/CONCLUSION MiR-221-3p is a latent biomarker of psoriasis patients. Lower expression of miR-221-3p inhibits the cell proliferation and inflammatory responses of HaCaT cells, which offers a possible target for the therapeutic interventions of psoriasis.
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Affiliation(s)
- Zhichao Meng
- Department of Dermatology, Guangrao People's Hospital, Dongying, China
| | - Jianwei Qiu
- Department of Emergency, Guangrao People's Hospital, Dongying, China
| | - Hong Zhang
- Department of Dermatology, Linyi City Lanshan District People's Hospital, Linyi, China
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Zhu H, Sha Y, Wu W, Chen R, Yang Y, Qiu J, Mi H, Peng C, Ding C, Wang Z, Fan L, Xu W, Li J. ZANUBRUTINIB, LENALIDOMIDE PLUS R‐CHOP (ZR
2
‐CHOP) AS THE TREATMENT FOR DIFFUSED LARGE B‐CELL LYMPHOMA (DLBCL). Hematol Oncol 2021. [DOI: 10.1002/hon.49_2881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- H. Zhu
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - Y. Sha
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - W. Wu
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - R. Chen
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - Y. Yang
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - J. Qiu
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - H. Mi
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - C. Peng
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - C. Ding
- The First Affiliated Hospital of Nanjing Medical University Department of Nuclear Medicine Nanjing China
| | - Z. Wang
- The First Affiliated Hospital of Nanjing Medical University Department of Pathology Nanjing China
| | - L. Fan
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - W. Xu
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - J. Li
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
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35
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Chan L, Qiu J. Practical cell counting method selection to increase the quality of cell counting results. Cytotherapy 2021. [DOI: 10.1016/s146532492100534x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Bell J, Huang Y, Yung S, Qazi H, Hernandez C, Qiu J, Chan L. High-speed and high-precision fluorescence-based cell count and viability assays using the Cellaca™ MX high-throughput cell counter. Cytotherapy 2021. [DOI: 10.1016/s1465324921004242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Bell J, Huang Y, Hoover W, Kuksin D, Qiu J, Chan L. Improved inter-instrument consistency and high precision for cho cell bioprocessing using the Cellaca™ MX high-throughput cell counter. Cytotherapy 2021. [DOI: 10.1016/s1465324921004412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Bai F, Wang DY, Fan YJ, Qiu J, Wang L, Dai Y, Song L. Assisted reproductive technology service availability, efficacy and safety in mainland China: 2016. Hum Reprod 2021; 35:446-452. [PMID: 32020190 DOI: 10.1093/humrep/dez245] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 09/19/2019] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION What is the current status of assisted reproductive technology (ART) service availability, efficacy and safety in mainland China? SUMMARY ANSWER In this first national report on ART status in mainland China, data on treatment numbers, outcomes and complications in 2016 are provided and analyzed, respectively. WHAT IS KNOWN ALREADY National ART Service Provision Surveys are conducted in mainland China regularly. Data were analyzed, and this manuscript was written by team members from the National Center for Women and Children's Health, China CDC and the Department of Women and Children Health, National Health Commission of the People's Republic of China. STUDY DESIGN, SIZE AND DURATION A cross-sectional nationwide survey was completed in 2018, in which data regarding ART treatments, performed from 1st January to 31st December2016 in 445 ART clinics located in 31 provinces of mainland China, were collected. PARTICIPANTS/MATERIALS, SETTING AND METHODS There were in total 451 licensed ART clinics (including artificial insemination clinics) in mainland China in 2016, of which 445 submitted service data. A total of 906 840 cycles were provided by 323 in vitro fertilization (IVF) clinics, involving 375 770 conventional IVF cycles, 154 948 intracytoplasmic sperm injection (ICSI) cycles, 367 146 frozen embryo transfer (FET) thawing cycles and 8976 preimplantation genetic diagnosis (PGD) treatment cycles. A total of 161 376 artificial (i.e. intrauterine) insemination (AI) cycles were reported by 443 clinics, with 126 872 cycles using the husband's semen (AIH) and 34 504 using donor semen (AID). MAIN RESULTS AND THE ROLE OF CHANCE In total, 98.7% of the licensed clinics, contributing to 100% of the ART services (including AID and AIH cycles), were included in this report. (Six clinics provided institutional information only and were excluded.) There were 906 840 in vitro fertilization cycles performed in mainland China with a population of over 1.3 billion inhabitants, with cycles per million inhabitants (C/M) increasing from 360 in 2013 to 657 in 2016, nationwide (range among provinces: 45-3676). After treatment with conventional IVF, the clinical pregnancy rate (PR) per oocyte retrieval cycle was 23.2%, the delivery rate (DR) per oocyte retrieval cycle was 18.7% and the proportion of twin delivery among the total deliveries was 27.9%. For ICSI cycles, the PR, DR and TDR were 20.5%, 16.7% and 27.2%, respectively. For FET per thawing cycles, the PR, DR and TDR were 48.2%, 37.6% and 24.2%. For PGD per diagnosis cycles, the PR, DR and TDR were 38.1%, 29.7% and 4.2%. For AIH cycles, the PR and DR were 13.3% and 10.5%; for AID cycles, the PR and DR were 24.3% and 21.1%, respectively. The total number of live infants born in mainland China in 2016, was 18.46 million, and the number of infants born through ART conducted in 2016 was 311 309, which accounted for 1.69% of the total. The reported rate of birth defects was about 87/10 000. The incidence of moderate to severe ovarian hyper-stimulation syndrome (OHSS) was 11.5 per 1000 oocyte retrieval cycles, and other complications were much more rare. LIMITATIONS AND REASONS FOR CAUTION This report is based on the summary data of ART services provided. The success rates were not calculated by age stratification. A low rate of birth defects was reported, which might be confounded by variations in birth follow-up methods, statistical timing and record taking. WIDER IMPLICATIONS OF THE FINDINGS ART service availability has improved significantly in recent years in mainland China. Because China is a vast country, significant imbalances in ART service provision do exist; however, the main efficacy and safety indicators were close to those of western countries. TRIAL REGISTRATION NUMBER N/A. STUDY FUNDING/COMPETING INTEREST(S) The study was funded by the National Key R&D Program of China (2016YFC1000307-2). There are no competing interests.
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Affiliation(s)
- F Bai
- ART Management Department, National Center for Women and Children's Health, China CDC, No.12 Dahuisi Road, Haidian District, Beijing 100081, China
| | - D Y Wang
- ART Management Department, National Center for Women and Children's Health, China CDC, No.12 Dahuisi Road, Haidian District, Beijing 100081, China
| | - Y J Fan
- ART Management Department, National Center for Women and Children's Health, China CDC, No.12 Dahuisi Road, Haidian District, Beijing 100081, China
| | - J Qiu
- Department of Women and Children Health, National Health Commission of the People's Republic of China, No.14 Zhichun Road, Haidian District, Beijing 100191, China
| | - L Wang
- Department of Women and Children Health, National Health Commission of the People's Republic of China, No.14 Zhichun Road, Haidian District, Beijing 100191, China
| | - Y Dai
- Department of Women and Children Health, National Health Commission of the People's Republic of China, No.14 Zhichun Road, Haidian District, Beijing 100191, China
| | - L Song
- Department of Women and Children Health, National Health Commission of the People's Republic of China, No.14 Zhichun Road, Haidian District, Beijing 100191, China
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Zang CS, Huang HT, Qiu J, Sun J, Ge RF, Jiang LW. MiR-224-5p targets EGR2 to promote the development of papillary thyroid carcinoma. Eur Rev Med Pharmacol Sci 2021; 24:4890-4900. [PMID: 32432752 DOI: 10.26355/eurrev_202005_21178] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Various microRNAs (miRNAs) have been reported to be involved in the pathogenesis and development of human cancers, including papillary thyroid carcinoma (PTC). However, the role of miR-224-5p in PTC progression remains unclear. Therefore, the purpose of this study is to illuminate the function of miR-224-5p in PTC. PATIENTS AND METHODS Expression of miR-224-5p and EGR2 was examined in PTC by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR). Transwell assay was used to detect cell migration and invasion. Western blot analysis was used to detect epithelial-mesenchymal transition (EMT). The relationship between miR-224-5p and EGR2 was confirmed by Dual-Luciferase assay. RESULTS Upregulation of miR-224-5p and downregulation of EGR2 expression were detected in PTC tissues and cells. Upregulation of miR-224-5p was found to be associated with TNM stage and lymph node metastasis. Meanwhile, it also predicted poor prognosis in PTC patients. Functionally, upregulation of miR-224-5p promoted cell metastasis and EMT in PTC. In addition, miR-224-5p was detected to directly target EGR2. EGR2 expression was negatively correlated with EGR2 expression in PTC. Of note, overexpression of EGR2 attenuated the carcinogenic effects of miR-224-5p in PTC. CONCLUSIONS MiR-224-5p promotes cell migration, invasion, and EMT in PTC by targeting EGR2.
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Affiliation(s)
- C-S Zang
- Department of Otolaryngology Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, P.R. China.
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Guo X, Qiu J, Sun XD. [Application of expert consensus to guide the vaccination of children with special health status]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:284-287. [PMID: 34645195 DOI: 10.3760/cma.j.cn112150-20201013-01275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Vaccination of children with special health status has become one of the urgent difficulties to be solved in provinces or regions with high immunization planning vaccination rate. The relevant consensus opinions on vaccination compiled by different expert teams have been issued in China, which provides an important basis for vaccinators to scientifically understand the necessity of vaccination and to study and judge the safety and effectiveness of vaccination. Based on the author's experience of participating in the compilation of a series of consensus on vaccination for children in special health status, this paper discusses how to objectively understand the role of expert consensus and puts forward some suggestions on the wider application of consensus in the future.
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Affiliation(s)
- X Guo
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J Qiu
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - X D Sun
- Department of Immunization, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
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Wang W, Qiu J, Qu P, Chen H, Lan J, Chen H, Li L, Gu M. Regulator of cullins-1 (ROC1) negatively regulates the Gli2 regulator SUFU to activate the hedgehog pathway in bladder cancer. Cancer Cell Int 2021; 21:75. [PMID: 33499884 PMCID: PMC7836478 DOI: 10.1186/s12935-021-01775-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 05/29/2020] [Accepted: 01/16/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The regulator of cullins-1 (ROC1) is an essential subunit in the cullin-RING ligase (CRL) protein complex and has been shown to be critical in bladder cancer cell survival and progression. This study aimed to explore the molecular mechanism of ROC1 action in the malignant progression of bladder cancer. METHODS This study utilized ex vivo, in vitro, and in vivo nude mouse experiments to assess the underlying mechanisms of ROC1 in bladder cancer cells. The expression of the components of the sonic hedgehog (SHH) pathway was determined by western blot analysis. ROC1 expression in human tumors was evaluated by immunohistochemistry. RESULTS ROC1 overexpression promoted the growth of bladder cancer cells, whereas knockdown of ROC1 expression had the opposite effect in bladder cancer cells. Mechanistically, ROC1 was able to target suppressor of fused homolog (SUFU) for ubiquitin-dependent degradation, allowing Gli2 release from the SUFU complex to activate the SHH pathway. Furthermore, knockdown of SUFU expression partially rescued the ROC1 knockdown-suppressed SHH activity as well as cancer cell growth inhibition. In ex vivo experiments, tissue microarray analysis of human bladder cancer specimens revealed a positive association of ROC1 expression with the SHH pathway activity. CONCLUSION This study demonstrated that dysregulation of the ROC1-SUFU-GLI2 axis plays an important role in bladder cancer progression and that targeting ROC1 expression is warranted in further investigations as a novel strategy for the future control of bladder cancer.
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Affiliation(s)
- W Wang
- Department of Urology, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.,Department of Urology, Yancheng First People's Hospital, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, 224000, Jiangsu, China
| | - J Qiu
- Department of Urology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200080, China
| | - P Qu
- Department of Urology, Yancheng First People's Hospital, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, 224000, Jiangsu, China
| | - H Chen
- Department of Haematology, Yancheng First People's Hospital, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, 224000, Jiangsu, China
| | - J Lan
- Department of Pathology, Yancheng First People's Hospital, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, 224000, Jiangsu, China
| | - H Chen
- Department of Pathology, Yancheng First People's Hospital, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, 224000, Jiangsu, China
| | - L Li
- Translational Medicine Center, Yancheng First People's Hospital, The Yancheng Clinical College of Xuzhou Medical University, Yancheng, 224000, Jiangsu, China
| | - M Gu
- Department of Urology, Jiangsu Provincial People's Hospital, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
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Tao Z, Qiu J, Zhang Y, Qian L, Gao J, Zhou Y, Yang L, He J, Yang J, Wang R, Huang Y, Zhou L, Sun B, Cui Y. Chemoradiotherapy alone or in combination with Endostar for patients with advanced non-small cell lung cancer: A systematic review and meta-analysis. INT J RADIAT RES 2021. [DOI: 10.29252/ijrr.19.1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Jiang LW, Zang CS, Qiu J, Xu ZJ. [A case of hypopharyngeal collision tumor]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2020; 55:523-524. [PMID: 32842370 DOI: 10.3760/cma.j.cn115330-20190925-00600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- L W Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - C S Zang
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - J Qiu
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Z J Xu
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
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Sun Q, Li Z, Lu W, Qiu J. Current Situation and Trend of Medical Imaging Graduates Working in the Field of Radiation Oncology - Based on Eleven Years’ Data from a Medical University in East China. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Lu W, Li H, Wang T, Shi L, Qiu J. Classification Of TI-RADS Class-4 Thyroid Nodules Via Ultrasound-Based Radiomics And Multi-Kernel Learning. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Liu P, Ou D, Niu X, Qiu J, Lou P, Xue L, Xu T, WANG X. Dynamic Changes in Cognitive Function in Patients with Radiation-Induced Temporal Lobe Necrosis after IMRT for Nasopharyngeal Cancer. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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OuYang Y, Zhang X, Liu X, Liu X, Cao Y, Qiu J, Liu C. TRPV 1 Regulates the Proliferation and Cisplatin Sensitivity of Esophageal Cancer. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Yang B, Yu L, Wang Z, Li W, Zhang J, Hu K, Zhang F, Qiu J. Validation of Dosimetric Commissioning Accuracy of IMRT and Rapidarc for Halcyon Linear Accelerator Using AAPM TG-119 Protocol. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Wu Z, Qiu J, Mu Z, Qiu J, Lu W, Li Z, Jiang W, Shi L. Multiparameter MR-Based Radiomics For The Classification Of Breast Cancer Molecular Subtypes. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Wang Z, Yang B, Yu L, Wang B, Pang T, Zhang J, Hu K, Qiu J, Zhang F. Analysis of Portal Dosimetry Patient-Specific Quality Assurance Results of 1203 Patients Treated With O-ring Linear Accelerator. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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