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Qin Y, Tong X, Mei WJ, Cheng Y, Zou Y, Han K, Yu J, Jie Z, Zhang T, Zhu S, Jin X, Wang J, Yang H, Xu X, Zhong H, Xiao L, Ding PR. Consistent signatures in the human gut microbiome of old- and young-onset colorectal cancer. Nat Commun 2024; 15:3396. [PMID: 38649355 PMCID: PMC11035630 DOI: 10.1038/s41467-024-47523-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 04/03/2024] [Indexed: 04/25/2024] Open
Abstract
The incidence of young-onset colorectal cancer (yCRC) has been increasing in recent decades, but little is known about the gut microbiome of these patients. Most studies have focused on old-onset CRC (oCRC), and it remains unclear whether CRC signatures derived from old patients are valid in young patients. To address this, we assembled the largest yCRC gut metagenomes to date from two independent cohorts and found that the CRC microbiome had limited association with age across adulthood. Differential analysis revealed that well-known CRC-associated taxa, such as Clostridium symbiosum, Peptostreptococcus stomatis, Parvimonas micra and Hungatella hathewayi were significantly enriched (false discovery rate <0.05) in both old- and young-onset patients. Similar strain-level patterns of Fusobacterium nucleatum, Bacteroides fragilis and Escherichia coli were observed for oCRC and yCRC. Almost all oCRC-associated metagenomic pathways had directionally concordant changes in young patients. Importantly, CRC-associated virulence factors (fadA, bft) were enriched in both oCRC and yCRC compared to their respective controls. Moreover, the microbiome-based classification model had similar predication accuracy for CRC status in old- and young-onset patients, underscoring the consistency of microbial signatures across different age groups.
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Affiliation(s)
- Youwen Qin
- BGI Research, Shenzhen, 518083, China.
- BGI Genomics, Shenzhen, 518083, China.
| | - Xin Tong
- BGI Research, Shenzhen, 518083, China
| | - Wei-Jian Mei
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Yanshuang Cheng
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Yuanqiang Zou
- BGI Research, Shenzhen, 518083, China
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, Shenzhen, China
| | - Kai Han
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Jiehai Yu
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China
| | - Zhuye Jie
- BGI Research, Shenzhen, 518083, China
| | - Tao Zhang
- BGI Research, Shenzhen, 518083, China
- Shenzhen Key Laboratory of Human commensal microorganisms and Health Research, Shenzhen, China
- BGI Research, Wuhan, 430074, China
| | - Shida Zhu
- BGI Genomics, Shenzhen, 518083, China
| | - Xin Jin
- BGI Research, Shenzhen, 518083, China
| | - Jian Wang
- BGI Research, Shenzhen, 518083, China
| | | | - Xun Xu
- BGI Research, Shenzhen, 518083, China
| | - Huanzi Zhong
- BGI Research, Shenzhen, 518083, China
- BGI Genomics, Shenzhen, 518083, China
| | - Liang Xiao
- BGI Research, Shenzhen, 518083, China
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, Shenzhen, China
| | - Pei-Rong Ding
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, China.
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Jiang N, Tan P, Sun Y, Zhou J, Ren R, Li Z, Zhu S. Microstructural, Micromechanical Atlas of the Temporomandibular Joint Disc. J Dent Res 2024:220345241227822. [PMID: 38594786 DOI: 10.1177/00220345241227822] [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] [Subscribe] [Scholar Register] [Indexed: 04/11/2024] Open
Abstract
The temporomandibular joint (TMJ) disc is mainly composed of collagen, with its arrangement responding to efficient stress distribution. However, microstructural and micromechanical transformations of the TMJ disc under resting, functional, and pathological conditions remain unclear. To address this, our study presents a high-resolution microstructural and mechanical atlas of the porcine TMJ disc. First, the naive microstructure and mechanical properties were investigated in porcine TMJ discs (resting and functional conditions). Subsequently, the perforation and tear models (pathological conditions) were compared. Following this, a rabbit model of anterior disc displacement (abnormal stress) was studied. Results show diverse microstructures and mechanical properties at the nanometer to micrometer scale. In the functional state, gradual unfolding of the crimping cycle in secondary and tertiary structures leads to D-cycle prolongation in the primary structure, causing tissue failure. Pathological conditions lead to stress concentration near the injury site due to collagen interfibrillar traffic patterns, resulting in earlier damage manifestation. Additionally, the abnormal stress model shows collagen damage initiating at the primary structure and extending to the superstructure over time. These findings highlight collagen's various roles in different pathophysiological states. Our study offers valuable insights into TMJ disc function and dysfunction, aiding the development of diagnostic and therapeutic strategies for TMJ disorders, as well as providing guidance for the design of structural biomimetic materials.
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Affiliation(s)
- N Jiang
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - P Tan
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Y Sun
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - J Zhou
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - R Ren
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Z Li
- Ao Research Institute Davos, Davos, Graubünden, Switzerland
| | - S Zhu
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
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Zhao G, Jiang R, Shi Y, Gao S, Wang D, Li Z, Zhou Y, Sun J, Wu W, Peng J, Kuang T, Rong Y, Yuan J, Zhu S, Jin G, Wang Y, Lou W. Circulating cell-free DNA methylation-based multi-omics analysis allows early diagnosis of pancreatic ductal adenocarcinoma. Mol Oncol 2024. [PMID: 38561976 DOI: 10.1002/1878-0261.13643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 02/29/2024] [Accepted: 03/15/2024] [Indexed: 04/04/2024] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with a 5-year survival rate of 7.2% in China. However, effective approaches for diagnosis of PDAC are limited. Tumor-originating genomic and epigenomic aberration in circulating free DNA (cfDNA) have potential as liquid biopsy biomarkers for cancer diagnosis. Our study aims to assess the feasibility of cfDNA-based liquid biopsy assay for PDAC diagnosis. In this study, we performed parallel genomic and epigenomic profiling of plasma cfDNA from Chinese PDAC patients and healthy individuals. Diagnostic models were built to distinguish PDAC patients from healthy individuals. Cancer-specific changes in cfDNA methylation landscape were identified, and a diagnostic model based on six methylation markers achieved high sensitivity (88.7% for overall cases and 78.0% for stage I patients) and specificity (96.8%), outperforming the mutation-based model significantly. Moreover, the combination of the methylation-based model with carbohydrate antigen 19-9 (CA19-9) levels further improved the performance (sensitivity: 95.7% for overall cases and 95.5% for stage I patients; specificity: 93.3%). In conclusion, our findings suggest that both methylation-based and integrated liquid biopsy assays hold promise as non-invasive tools for detection of PDAC.
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Affiliation(s)
- Guochao Zhao
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | | | - Ying Shi
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Suizhi Gao
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital Affiliated to Navy Medical University, Shanghai, China
| | - Dansong Wang
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhilong Li
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Yuhong Zhou
- Department of Medical Oncology, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianlong Sun
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Wenchuan Wu
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiaxi Peng
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Tiantao Kuang
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yefei Rong
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Yuan
- The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Shida Zhu
- BGI Genomics, BGI-Shenzhen, China
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI-Shenzhen, China
| | - Gang Jin
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital Affiliated to Navy Medical University, Shanghai, China
| | - Yuying Wang
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Wenhui Lou
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
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Zhu S, Wu Z, Wang W, Wei L, Zhou H. A revisit of drugs and potential therapeutic targets against non-alcoholic fatty liver disease: learning from clinical trials. J Endocrinol Invest 2024; 47:761-776. [PMID: 37839037 DOI: 10.1007/s40618-023-02216-y] [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: 08/02/2023] [Accepted: 10/01/2023] [Indexed: 10/17/2023]
Abstract
PURPOSE Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease, with a worldwide prevalence of 25%. Although numerous clinical trials have been conducted over the last few decades, an effective treatment has not been approved yet. Extensive research has accumulated a large amount of data and experience; however, the vast number of clinical trials and new therapeutic targets for NAFLD make it impossible to keep abreast of the relevant information. Therefore, a systematic analysis of the existing trials is necessary. METHODS Here, we reviewed clinical trials on NAFLD registered in the mandated federal database, ClinicalTrials.gov, to generate a detailed overview of the trials related to drugs and therapeutic targets for NAFLD treatment. Following screening for pertinence to therapy, a total of 440 entries were identified that included active trials as well as those that have already been completed, suspended, terminated, or withdrawn. RESULTS We summarize and systematically analyze the state, drug development pipeline, and discovery of treatment targets for NAFLD. We consider possible factors that may affect clinical outcomes. Furthermore, we discussed these results to explore the mechanisms responsible for clinical outcomes. CONCLUSION We summarised the landscape of current clinical trials and suggested the directions for future NAFLD therapy to assist internal medicine specialists in treating the whole clinical spectrum of this highly prevalent liver disease.
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Affiliation(s)
- S Zhu
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Z Wu
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - W Wang
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - L Wei
- School of Life Science, Anhui Medical University, Hefei, 230032, China.
| | - H Zhou
- School of Life Science, Anhui Medical University, Hefei, 230032, China.
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5
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Fu K, Li Q, Wang J, Zhang M, Yan X, Li K, Song L, Zhong L, Ma Y, Chen J, Zeng J, Wang D, Shao D, Zhu S, Yin R. Characteristics of germline DNA damage response gene mutations in ovarian cancer in Southwest China. Sci Rep 2024; 14:6702. [PMID: 38509102 PMCID: PMC10954728 DOI: 10.1038/s41598-024-52707-y] [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] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 01/23/2024] [Indexed: 03/22/2024] Open
Abstract
DNA damage response (DDR) pathways are responsible for repairing endogenous or exogenous DNA damage to maintain the stability of the cellular genome, including homologous recombination repair (HRR) pathway, mismatch repair (MMR) pathway, etc. In ovarian cancer, current studies are focused on HRR genes, especially BRCA1/2, and the results show regional and population differences. To characterize germline mutations in DDR genes in ovarian cancer in Southwest China, 432 unselected ovarian cancer patients underwent multi-gene panel testing from October 2016 to October 2020. Overall, deleterious germline mutations in DDR genes were detected in 346 patients (80.1%), and in BRCA1/2 were detected in 126 patients (29.2%). The prevalence of deleterious germline mutations in BRCA2 is higher than in other studies (patients are mainly from Eastern China), and so is the mismatch repair genes. We identified three novel BRCA1/2 mutations, two of which probably deleterious (BRCA1 p.K1622* and BRCA2 p.L2987P). Furthermore, we pointed out that deleterious mutations of FNACD2 and RECQL4 are potential ovarian cancer susceptibility genes and may predispose carriers to ovarian cancer. In conclusion, our study highlights the necessity of comprehensive germline mutation detection of DNA damage response genes in ovarian cancer patients, which is conducive to patient management and genetic counseling.
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Affiliation(s)
- Kaiyu Fu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qingli Li
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jie Wang
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Mengpei Zhang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xinyu Yan
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Kemin Li
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Liang Song
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lan Zhong
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yu Ma
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinghong Chen
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jing Zeng
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Danqing Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Di Shao
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Shida Zhu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China.
| | - Rutie Yin
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
- Laboratory of Molecular Epidemiology of Birth Defects, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
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Li Y, Xu J, Hu X, Chen Y, Liu F, Chen Y, Ma X, Dong Q, Sun L, Mo S, Zhang L, He X, Tong S, Wu H, Li W, Cai S, Zhu S, Pan Q, Peng J. Personalized circulating tumor DNA monitoring improves recurrence surveillance and management after curative resection of colorectal liver metastases: A prospective cohort study. Int J Surg 2024:01279778-990000000-01123. [PMID: 38445460 DOI: 10.1097/js9.0000000000001236] [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: 10/21/2023] [Accepted: 02/15/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND Approximately 60% of patients with CRLM experience relapse within 2 years after radical resection, previous studies have proven that repeat local treatment (LT) could prolong survival, however, it is difficult to seize the window for LT due to the lack of a high-sensitive surveillance method. In this study, we aim to examine the value of longitudinal circulating tumor DNA (ctDNA) in guiding adjuvant chemotherapy (ACT), optimizing clinical surveillance strategy, and thereby improving CRLM outcomes. MATERIALS AND METHODS We conducted a prospective clinical trial using a personalized, tumor-informed ctDNA assay to monitor 60 CRLM patients undergoing resection with curative intent. Formalin-fixed paraffin-embedded (FFPE) tumor samples were collected after surgery. Blood samples were collected before surgery, 30 days after surgery (post-OP), and every third month until relapse or up to 2 years. RESULTS A total of 394 plasma samples from 60 eligible patients were analyzed, with a median follow-up time of 31.3 months. Landmark analyses revealed that detectable ctDNA at post-OP (HR, 4.8), post-ACT (HR, 6.0), and end-of-treatment (EOT) (HR, 5.6) were associated with higher recurrence risk (P < 0.001). Post-OP ctDNA positivity served as the only independent prognostic marker in the multivariant analysis (HR, 5.1; P < 0.001). Longitudinal ctDNA analysis identified relapsed patients at both sensitivity and specificity of 100%. Most (75%) patients were found with radiological relapse within 6 months after the first detectable ctDNA with a median lead time of 3.5 months. In relapsed patients, 73.2% had oligometastatic disease and 61% were liver-restricted, of which 72.0% received repeat LTs, and 60.0% achieved a secondary no evidence of disease (NED) status. CONCLUSIONS Longitudinal ctDNA monitoring assists in early prediction of relapse, and thereby improves survival of CRLM patients by increased secondary resection rate and secondary NED rate.
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Affiliation(s)
- Yaqi Li
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jing Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Xiang Hu
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yikuan Chen
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Fangqi Liu
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yun Chen
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Xiaoji Ma
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Qiduo Dong
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Lei Sun
- Tianjin Medical Laboratory BGI, BGI-Tianjin, Tianjin 300308, China
| | - Shaobo Mo
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Long Zhang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Xingfeng He
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Shanyou Tong
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Huizi Wu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Wenhua Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Sanjun Cai
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Shida Zhu
- BGI Genomics, BGI-Shenzhen, Shenzhen 518083, China
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI-Shenzhen, Shenzhen 518083, China
| | - Qi Pan
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Junjie Peng
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
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7
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Liu S, Wang Y, Wang Y, Duan C, Liu F, Zhang H, Tian X, Ding X, Zhang M, Cao D, Liu Y, Jiang R, Zhuo D, Peng J, Zhu S, Zhao L, Wang J, Wei L, Shi Z. Population-based screening for colorectal cancer in Wuhan, China. Front Oncol 2024; 14:1284975. [PMID: 38487726 PMCID: PMC10937563 DOI: 10.3389/fonc.2024.1284975] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/05/2024] [Indexed: 03/17/2024] Open
Abstract
Fecal DNA test has emerged as a non-invasive alternative for colorectal cancer (CRC) screening in average-risk population. However, there is currently insufficient evidence in China to demonstrate the effectiveness of population-based CRC screening using fecal DNA based test. Here, a large-scale real-world study for CRC screening was implemented in Wuhan, Hubei province, China. A total of 98,683 subjects aged between 45 and 60 years were screened by a fecal DNA test (ColoTect®) which detected methylation status of SDC2, ADHFE1, and PPP2R5C. Participants who tested positive were advised to receive diagnostic colonoscopy. 4449 (4.5%) subjects tested positive for fecal DNA test, and 3200 (71.9%) underwent colonoscopy. Among these, 2347 (73.3%) had abnormal colonoscopy findings, of which 1330 (56.7%) subjects received pathological diagnosis. Detection rates for CRC and advanced precancerous lesions were 1.3% and 2.3%, respectively. Detection rates for nonadvanced adenomas and polyps were 14.0% and 21.6%, respectively. 28.0% of all colonoscopies showed colorectal neoplasm but lack pathological diagnosis. 6.1% showed other abnormalities such as enteritis. In conclusion, preliminary real-world evidence suggested that fecal DNA tests had promising diagnostic yield in population-based CRC screening. Clinical trial registration https://www.chictr.org.cn/showproj.html?proj=192838, identifier ChiCTR2300070520.
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Affiliation(s)
- Song Liu
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yifan Wang
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | | | - Chaofan Duan
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Fan Liu
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Heng Zhang
- Department of Gastroenterology, Wuhan Central Hospital, Wuhan, Hubei, China
| | - Xia Tian
- Department of Gastroenterology, The Third Hospital of Wuhan (Tongren Hospital of Wuhan University), Wuhan, Hubei, China
| | - Xiangwu Ding
- Department of Gastroenterology, The Fourth Hospital of Wuhan, Wuhan, Hubei, China
| | - Manling Zhang
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dan Cao
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yi Liu
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | | | - Duan Zhuo
- BGI Genomics Co., Ltd., Shenzhen, China
| | | | - Shida Zhu
- BGI Genomics Co., Ltd., Shenzhen, China
| | | | - Jian Wang
- BGI Genomics Co., Ltd., Shenzhen, China
| | - Li Wei
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhaohong Shi
- Department of Gastroenterology, Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan, Hubei, China
- Wuhan No. 1 Hospital, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Wang H, Tang H, Yuan S, Liang C, Li Y, Zhu S, Chen K. IL-17A deficiency inhibits lung cancer-induced osteoclastogenesis by promoting apoptosis of osteoclast precursor cells. PLoS One 2024; 19:e0299028. [PMID: 38394046 PMCID: PMC10889641 DOI: 10.1371/journal.pone.0299028] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
Osteoclasts are crucial in the events leading to bone metastasis of lung cancer. Interleukin-17A (IL-17A) affects osteogenesis by regulating the survival of osteoclast precursors (OCPs) and is enriched in lung cancer cells. However, how factors derived from tumor cells that metastasize to bone affect osteoclastogenesis remains poorly understood. We examined whether IL-17A derived from lung cancer cells affects osteoclast differentiation by regulating OCP apoptosis. IL-17A expression was inhibited in A549 non-small cell lung cancer cells using RNA interference. Compared with conditioned medium (CM) from A549 cells (A549-CM), CM from IL-17A-deficient A549 cells (A549-si-CM) suppressed osteoclastogenesis. The mRNA expression of osteoclast-specific genes was downregulated following A549-si-CM treatment. Furthermore, A549-si-CM promoted osteoclast precursor apoptosis at an early stage of osteoclastogenesis, which was related to the promotion of caspase-3 expression by A549-si-CM during osteoclast differentiation. In vivo experiments also showed that inhibition of IL-17A expression in A549 cells reduced osteoclast activation and bone tissue destruction. Collectively, our results indicate that IL-17A deficiency inhibits lung cancer-induced osteoclast differentiation by promoting apoptosis of osteoclast precursors in the early stage of osteoclast formation and that IL-17A is a potential therapeutic target for cancer-associated bone resorption in patients with lung cancer.
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Affiliation(s)
- Hongkai Wang
- Department of Orthopedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Hao Tang
- Department of Orthopedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
- Guangxi Key Laboratory of Metabolic Reprogramming and Intelligent Medical Engineering for Chronic Diseases, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Shujie Yuan
- Department of Orthopedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Chuntao Liang
- Department of Orthopedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Yuanxin Li
- Department of Orthopedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Shida Zhu
- Department of Orthopedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Kai Chen
- Department of Orthopedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
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Zhu S, Chen ST, Jin YY, Lu SW, Zou FJ, Ma WJ, Zeng FF, Liang XF. [Analysis and prediction of disease burden of cirrhosis and other chronic liver diseases due to alcohol use in China from 1990 to 2030]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:185-191. [PMID: 38413055 DOI: 10.3760/cma.j.cn112338-20230920-00173] [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: 02/29/2024]
Abstract
Objective: To comprehensively understand the disease burden of liver cirrhosis and other chronic liver diseases caused by alcohol use in China from 1990 to 2019, as well as to predict the trends in disease burden from 2020 to 2030. Methods: The analysis utilized data from the Global Burden of Disease study in 2019 (GBD2019). Key indicators such as incidence rate, mortality rate, disability-adjusted life years (DALY), years of life lost due to premature mortality, and years lived with disability were selected to describe the disease burden of alcohol-related liver cirrhosis and other chronic liver diseases in China from 1990 to 2019. The estimated annual percentage change (EAPC) was used to depict the temporal trends in disease burden. Furthermore, a Bayesian age-period-cohort (BAPC) model was constructed using R software to predict the age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of alcohol-related liver cirrhosis and other chronic liver diseases in China from 2020 to 2030. Results: From 1990 to 2019, the incidence of alcohol-related liver cirrhosis and other chronic liver diseases in China showed an upward trend, with an EAPC of 0.31% (95%CI: 0.10%-0.52%). However, the DALY declined, with an EAPC of -2.81% (95%CI: -2.92% - -2.70%). The ASMR showed a downward trend, with an EAPC of -2.55% (95%CI: -2.66% - -2.45%). The highest incidence of cirrhosis of liver caused by alcohol and other chronic liver diseases was reported in the age group of 35-49 years, while the ASMR increased gradually with age, with a significant rise after the age of 30. The age-standardized DALY rate peaked between the ages of 55 and 64. The disease burden indicators for males were consistently higher than those for females during the same period. According to the predictions of the BAPC model, from 2020 to 2030, the ASIR for cirrhosis of liver caused by alcohol and other chronic liver diseases in the entire population of China was projected to increase from 3.45/100 000 in 2020 to 3.78/100 000 in 2030, a growth of 9.57%. Conversely, the ASMR was expected to decrease from 1.45/100 000 in 2020 to 1.24/100 000 in 2030, a reduction of 14.48%. Conclusions: The disease burden of cirrhosis of liver caused by alcohol and other chronic liver diseases remained serious in China, especially in men and the middle-aged to elderly population. There is a pressing need to prioritize attention and resources towards these groups. Despite the projected decrease in ASMR, the ASIR continued to rise and is expected to persist in its upward trend until 2030.
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Affiliation(s)
- S Zhu
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - S T Chen
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - Y Y Jin
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - S W Lu
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - F J Zou
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - W J Ma
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - F F Zeng
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - X F Liang
- School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
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Wang J, Feng X, Yuan W, Zhang J, Zhu S, Xu L, Li H, Song J, Rao X, Liao S, Wang Z, Si H. Development of terpenoid repellents against Aedes albopictus: a combined study of biological activity evaluation and computational modelling. SAR QSAR Environ Res 2024; 35:71-89. [PMID: 38323577 DOI: 10.1080/1062936x.2024.2306327] [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] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/06/2024] [Indexed: 02/08/2024]
Abstract
To explore novel terpenoid repellents, 22 candidate terpenoid derivatives were synthesized and tested for their electroantennogram (EAG) responses and repellent activities against Aedes albopictus. The results from the EAG experiments revealed that 5-(2-hydroxypropan-2-yl)-2-methylcyclohex-2-en-1-yl formate (compound 1) induced distinct EAG responses in female Aedes albopictus. At concentrations of 0.1, 1, 10, 100, and 1000 mg/L, the EAG response values for compound 1 were 179.59, 183.99, 190.38, 193.80, and 196.66 mV, demonstrating comparable or superior effectiveness to DEET. Repellent activity analysis indicated significant repellent activity for compound 1, closest to the positive control DEET. The in silico assessment of the ADMET profile of compound 1 indicates that it successfully passed the ADMET evaluation. Molecular docking studies exhibited favourable binding of compound 1 to the active site of the odorant binding protein (OBP) of Aedes albopictus, involving hydrophobic forces and hydrogen bond interactions with residues in the OBP pocket. The QSAR model highlighted the influential role of hydrogen-bonding receptors, positively charged surface area of weighted atoms, polarity parameters of molecules, and maximum nuclear-nuclear repulsion force of carbon-carbon bonds on the relative EAG response values of the tested compounds. This study holds substantial significance for the advancement of new terpenoid repellents.
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Affiliation(s)
- J Wang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - X Feng
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - W Yuan
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - J Zhang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - S Zhu
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - L Xu
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - H Li
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - J Song
- Department of Natural Sciences, University of Michigan-Flint, Flint, MI, USA
| | - X Rao
- College of Chemical Engineering, Huaqiao University, Xiamen, R.P. China
| | - S Liao
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - Z Wang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - H Si
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
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Zhu S, Xu J, Shi RR, Wang XK, Sun MM, Li SN, Gao LL, Li YY, Wen HM, Zhao CL, Li S, Ji J, Yang CH, Yu YH. [Association between congenital hypothyroidism and in-hospital adverse outcomes in very low birth weight infants]. Zhonghua Er Ke Za Zhi 2024; 62:29-35. [PMID: 38154974 DOI: 10.3760/cma.j.cn112140-20231012-00281] [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: 12/30/2023]
Abstract
Objective: To investigate the association between congenital hypothyroidism (CH) and the adverse outcomes during hospitalization in very low birth weight infants (VLBWI). Methods: This prospective, multicenter observational cohort study was conducted based on the data from the Sino-northern Neonatal Network (SNN). Data of 5 818 VLBWI with birth weight <1 500 g and gestational age between 24-<37 weeks that were admitted to the 37 neonatal intensive care units from January 1st, 2019 to December 31st, 2022 were collected and analyzed. Thyroid function was first screened at 7 to 10 days after birth, followed by weekly tests within the first 4 weeks, and retested at 36 weeks of corrected gestational age or before discharge. The VLBWI were assigned to the CH group or non-CH group. Chi-square test, Fisher exact probability method, Wilcoxon rank sum test, univariate and multivariate Logistic regression were used to analyze the relationship between CH and poor prognosis during hospitalization in VLBWI. Results: A total of 5 818 eligible VLBWI were enrolled, with 2 982 (51.3%) males and the gestational age of 30 (29, 31) weeks. The incidence of CH was 5.5% (319 VLBWI). Among the CH group, only 121 VLBWI (37.9%) were diagnosed at the first screening. Univariate Logistic regression analysis showed that CH was associated with increased incidence of extrauterine growth retardation (EUGR) (OR=1.31(1.04-1.64), P<0.05) and retinopathy of prematurity (ROP) of stage Ⅲ and above (OR=1.74(1.11-2.75), P<0.05). However, multivariate Logistic regression analysis showed no significant correlation between CH and EUGR, moderate to severe bronchopulmonary dysplasia, grade Ⅲ to Ⅳ intraventricular hemorrhage, neonatal necrotizing enterocolitis in stage Ⅱ or above, and ROP in stage Ⅲ or above (OR=1.04 (0.81-1.33), 0.79 (0.54-1.15), 1.15 (0.58-2.26), 1.43 (0.81-2.53), 1.12 (0.70-1.80), all P>0.05). Conclusion: There is no significant correlation between CH and in-hospital adverse outcomes, possibly due to timely diagnosis and active replacement therapy.
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Affiliation(s)
- S Zhu
- Department of Neonatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250014, China
| | - J Xu
- Department of Neonatology, Affiliated Hospital of Jining Medical University, Jining 272000, China
| | - R R Shi
- Department of Neonatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250014, China
| | - X K Wang
- Department of Neonatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250014, China
| | - M M Sun
- Department of Neonatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250014, China
| | - S N Li
- Department of Neonatology, Yantai Yuhuangding Hospital, Yantai 264000, China
| | - L L Gao
- Department of Neonatology, Liaocheng People's Hospital, Liaocheng 252000, China
| | - Y Y Li
- Department of Neonatology, W.F. Maternal and Child Health Hospital, Weifang 261000, China
| | - H M Wen
- Department of Neonatology, Hebei PetroChina Central Hospital, Langfang 065000, China
| | - C L Zhao
- Department of Neonatology, the Third Hospital of Baogang Group, Baotou 014010, China
| | - S Li
- Department of Neonatology, the First Affiliated Hospital of Shandong First Medical University, Jinan 250014, China
| | - J Ji
- Department of Neonatology, Feixian People's Hospital, Linyi 273400, China
| | - C H Yang
- Department of Neonatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250014, China
| | - Y H Yu
- Department of Neonatology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250014, China
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Staplin N, Haynes R, Judge PK, Wanner C, Green JB, Emberson J, Preiss D, Mayne KJ, Ng SYA, Sammons E, Zhu D, Hill M, Stevens W, Wallendszus K, Brenner S, Cheung AK, Liu ZH, Li J, Hooi LS, Liu WJ, Kadowaki T, Nangaku M, Levin A, Cherney D, Maggioni AP, Pontremoli R, Deo R, Goto S, Rossello X, Tuttle KR, Steubl D, Petrini M, Seidi S, Landray MJ, Baigent C, Herrington WG, Abat S, Abd Rahman R, Abdul Cader R, Abdul Hafidz MI, Abdul Wahab MZ, Abdullah NK, Abdul-Samad T, Abe M, Abraham N, Acheampong S, Achiri P, Acosta JA, Adeleke A, Adell V, Adewuyi-Dalton R, Adnan N, Africano A, Agharazii M, Aguilar F, Aguilera A, Ahmad M, Ahmad MK, Ahmad NA, Ahmad NH, Ahmad NI, Ahmad Miswan N, Ahmad Rosdi H, Ahmed I, Ahmed S, Ahmed S, Aiello J, Aitken A, AitSadi R, Aker S, Akimoto S, Akinfolarin A, Akram S, Alberici F, Albert C, Aldrich L, Alegata M, Alexander L, Alfaress S, Alhadj Ali M, Ali A, Ali A, Alicic R, Aliu A, Almaraz R, Almasarwah R, Almeida J, Aloisi A, Al-Rabadi L, Alscher D, Alvarez P, Al-Zeer B, Amat M, Ambrose C, Ammar H, An Y, Andriaccio L, Ansu K, Apostolidi A, Arai N, Araki H, Araki S, Arbi A, Arechiga O, Armstrong S, Arnold T, Aronoff S, Arriaga W, Arroyo J, Arteaga D, Asahara S, Asai A, Asai N, Asano S, Asawa M, Asmee MF, Aucella F, Augustin M, Avery A, Awad A, Awang IY, Awazawa M, Axler A, Ayub W, Azhari Z, Baccaro R, Badin C, Bagwell B, Bahlmann-Kroll E, Bahtar AZ, Baigent C, Bains D, Bajaj H, Baker R, Baldini E, Banas B, Banerjee D, Banno S, Bansal S, Barberi S, Barnes S, Barnini C, Barot C, Barrett K, Barrios R, Bartolomei Mecatti B, Barton I, Barton J, Basily W, Bavanandan S, Baxter A, Becker L, Beddhu S, Beige J, Beigh S, Bell S, Benck U, Beneat A, Bennett A, Bennett D, Benyon S, Berdeprado J, Bergler T, Bergner A, Berry M, Bevilacqua M, Bhairoo J, Bhandari S, Bhandary N, Bhatt A, Bhattarai M, Bhavsar M, Bian W, Bianchini F, Bianco S, Bilous R, Bilton J, Bilucaglia D, Bird C, Birudaraju D, Biscoveanu M, Blake C, Bleakley N, Bocchicchia K, Bodine S, Bodington R, Boedecker S, Bolduc M, Bolton S, Bond C, Boreky F, Boren K, Bouchi R, Bough L, Bovan D, Bowler C, Bowman L, Brar N, Braun C, Breach A, Breitenfeldt M, Brenner S, Brettschneider B, Brewer A, Brewer G, Brindle V, Brioni E, Brown C, Brown H, Brown L, Brown R, Brown S, Browne D, Bruce K, Brueckmann M, Brunskill N, Bryant M, Brzoska M, Bu Y, Buckman C, Budoff M, Bullen M, Burke A, Burnette S, Burston C, Busch M, Bushnell J, Butler S, Büttner C, Byrne C, Caamano A, Cadorna J, Cafiero C, Cagle M, Cai J, Calabrese K, Calvi C, Camilleri B, Camp S, Campbell D, Campbell R, Cao H, Capelli I, Caple M, Caplin B, Cardone A, Carle J, Carnall V, Caroppo M, Carr S, Carraro G, Carson M, Casares P, Castillo C, Castro C, Caudill B, Cejka V, Ceseri M, Cham L, Chamberlain A, Chambers J, Chan CBT, Chan JYM, Chan YC, Chang E, Chang E, Chant T, Chavagnon T, Chellamuthu P, Chen F, Chen J, Chen P, Chen TM, Chen Y, Chen Y, Cheng C, Cheng H, Cheng MC, Cherney D, Cheung AK, Ching CH, Chitalia N, Choksi R, Chukwu C, Chung K, Cianciolo G, Cipressa L, Clark S, Clarke H, Clarke R, Clarke S, Cleveland B, Cole E, Coles H, Condurache L, Connor A, Convery K, Cooper A, Cooper N, Cooper Z, Cooperman L, Cosgrove L, Coutts P, Cowley A, Craik R, Cui G, Cummins T, Dahl N, Dai H, Dajani L, D'Amelio A, Damian E, Damianik K, Danel L, Daniels C, Daniels T, Darbeau S, Darius H, Dasgupta T, Davies J, Davies L, Davis A, Davis J, Davis L, Dayanandan R, Dayi S, Dayrell R, De Nicola L, Debnath S, Deeb W, Degenhardt S, DeGoursey K, Delaney M, Deo R, DeRaad R, Derebail V, Dev D, Devaux M, Dhall P, Dhillon G, Dienes J, Dobre M, Doctolero E, Dodds V, Domingo D, Donaldson D, Donaldson P, Donhauser C, Donley V, Dorestin S, Dorey S, Doulton T, Draganova D, Draxlbauer K, Driver F, Du H, Dube F, Duck T, Dugal T, Dugas J, Dukka H, Dumann H, Durham W, Dursch M, Dykas R, Easow R, Eckrich E, Eden G, Edmerson E, Edwards H, Ee LW, Eguchi J, Ehrl Y, Eichstadt K, Eid W, Eilerman B, Ejima Y, Eldon H, Ellam T, Elliott L, Ellison R, Emberson J, Epp R, Er A, Espino-Obrero M, Estcourt S, Estienne L, Evans G, Evans J, Evans S, Fabbri G, Fajardo-Moser M, Falcone C, Fani F, Faria-Shayler P, Farnia F, Farrugia D, Fechter M, Fellowes D, Feng F, Fernandez J, Ferraro P, Field A, Fikry S, Finch J, Finn H, Fioretto P, Fish R, Fleischer A, Fleming-Brown D, Fletcher L, Flora R, Foellinger C, Foligno N, Forest S, Forghani Z, Forsyth K, Fottrell-Gould D, Fox P, Frankel A, Fraser D, Frazier R, Frederick K, Freking N, French H, Froment A, Fuchs B, Fuessl L, Fujii H, Fujimoto A, Fujita A, Fujita K, Fujita Y, Fukagawa M, Fukao Y, Fukasawa A, Fuller T, Funayama T, Fung E, Furukawa M, Furukawa Y, Furusho M, Gabel S, Gaidu J, Gaiser S, Gallo K, Galloway C, Gambaro G, Gan CC, Gangemi C, Gao M, Garcia K, Garcia M, Garofalo C, Garrity M, Garza A, Gasko S, Gavrila M, Gebeyehu B, Geddes A, Gentile G, George A, George J, Gesualdo L, Ghalli F, Ghanem A, Ghate T, Ghavampour S, Ghazi A, Gherman A, Giebeln-Hudnell U, Gill B, Gillham S, Girakossyan I, Girndt M, Giuffrida A, Glenwright M, Glider T, Gloria R, Glowski D, Goh BL, Goh CB, Gohda T, Goldenberg R, Goldfaden R, Goldsmith C, Golson B, Gonce V, Gong Q, Goodenough B, Goodwin N, Goonasekera M, Gordon A, Gordon J, Gore A, Goto H, Goto S, Goto S, Gowen D, Grace A, Graham J, Grandaliano G, Gray M, Green JB, Greene T, Greenwood G, Grewal B, Grifa R, Griffin D, Griffin S, Grimmer P, Grobovaite E, Grotjahn S, Guerini A, Guest C, Gunda S, Guo B, Guo Q, Haack S, Haase M, Haaser K, Habuki K, Hadley A, Hagan S, Hagge S, Haller H, Ham S, Hamal S, Hamamoto Y, Hamano N, Hamm M, Hanburry A, Haneda M, Hanf C, Hanif W, Hansen J, Hanson L, Hantel S, Haraguchi T, Harding E, Harding T, Hardy C, Hartner C, Harun Z, Harvill L, Hasan A, Hase H, Hasegawa F, Hasegawa T, Hashimoto A, Hashimoto C, Hashimoto M, Hashimoto S, Haskett S, Hauske SJ, Hawfield A, Hayami T, Hayashi M, Hayashi S, Haynes R, Hazara A, Healy C, Hecktman J, Heine G, Henderson H, Henschel R, Hepditch A, Herfurth K, Hernandez G, Hernandez Pena A, Hernandez-Cassis C, Herrington WG, Herzog C, Hewins S, Hewitt D, Hichkad L, Higashi S, Higuchi C, Hill C, Hill L, Hill M, Himeno T, Hing A, Hirakawa Y, Hirata K, Hirota Y, Hisatake T, Hitchcock S, Hodakowski A, Hodge W, Hogan R, Hohenstatt U, Hohenstein B, Hooi L, Hope S, Hopley M, Horikawa S, Hosein D, Hosooka T, Hou L, Hou W, Howie L, Howson A, Hozak M, Htet Z, Hu X, Hu Y, Huang J, Huda N, Hudig L, Hudson A, Hugo C, Hull R, Hume L, Hundei W, Hunt N, Hunter A, Hurley S, Hurst A, Hutchinson C, Hyo T, Ibrahim FH, Ibrahim S, Ihana N, Ikeda T, Imai A, Imamine R, Inamori A, Inazawa H, Ingell J, Inomata K, Inukai Y, Ioka M, Irtiza-Ali A, Isakova T, Isari W, Iselt M, Ishiguro A, Ishihara K, Ishikawa T, Ishimoto T, Ishizuka K, Ismail R, Itano S, Ito H, Ito K, Ito M, Ito Y, Iwagaitsu S, Iwaita Y, Iwakura T, Iwamoto M, Iwasa M, Iwasaki H, Iwasaki S, Izumi K, Izumi K, Izumi T, Jaafar SM, Jackson C, Jackson Y, Jafari G, Jahangiriesmaili M, Jain N, Jansson K, Jasim H, Jeffers L, Jenkins A, Jesky M, Jesus-Silva J, Jeyarajah D, Jiang Y, Jiao X, Jimenez G, Jin B, Jin Q, Jochims J, Johns B, Johnson C, Johnson T, Jolly S, Jones L, Jones L, Jones S, Jones T, Jones V, Joseph M, Joshi S, Judge P, Junejo N, Junus S, Kachele M, Kadowaki T, Kadoya H, Kaga H, Kai H, Kajio H, Kaluza-Schilling W, Kamaruzaman L, Kamarzarian A, Kamimura Y, Kamiya H, Kamundi C, Kan T, Kanaguchi Y, Kanazawa A, Kanda E, Kanegae S, Kaneko K, Kaneko K, Kang HY, Kano T, Karim M, Karounos D, Karsan W, Kasagi R, Kashihara N, Katagiri H, Katanosaka A, Katayama A, Katayama M, Katiman E, Kato K, Kato M, Kato N, Kato S, Kato T, Kato Y, Katsuda Y, Katsuno T, Kaufeld J, Kavak Y, Kawai I, Kawai M, Kawai M, Kawase A, Kawashima S, Kazory A, Kearney J, Keith B, Kellett J, Kelley S, Kershaw M, Ketteler M, Khai Q, Khairullah Q, Khandwala H, Khoo KKL, Khwaja A, Kidokoro K, Kielstein J, Kihara M, Kimber C, Kimura S, Kinashi H, Kingston H, Kinomura M, Kinsella-Perks E, Kitagawa M, Kitajima M, Kitamura S, Kiyosue A, Kiyota M, Klauser F, Klausmann G, Kmietschak W, Knapp K, Knight C, Knoppe A, Knott C, Kobayashi M, Kobayashi R, Kobayashi T, Koch M, Kodama S, Kodani N, Kogure E, Koizumi M, Kojima H, Kojo T, Kolhe N, Komaba H, Komiya T, Komori H, Kon SP, Kondo M, Kondo M, Kong W, Konishi M, Kono K, Koshino M, Kosugi T, Kothapalli B, Kozlowski T, Kraemer B, Kraemer-Guth A, Krappe J, Kraus D, Kriatselis C, Krieger C, Krish P, Kruger B, Ku Md Razi KR, Kuan Y, Kubota S, Kuhn S, Kumar P, Kume S, Kummer I, Kumuji R, Küpper A, Kuramae T, Kurian L, Kuribayashi C, Kurien R, Kuroda E, Kurose T, Kutschat A, Kuwabara N, Kuwata H, La Manna G, Lacey M, Lafferty K, LaFleur P, Lai V, Laity E, Lambert A, Landray MJ, Langlois M, Latif F, Latore E, Laundy E, Laurienti D, Lawson A, Lay M, Leal I, Leal I, Lee AK, Lee J, Lee KQ, Lee R, Lee SA, Lee YY, Lee-Barkey Y, Leonard N, Leoncini G, Leong CM, Lerario S, Leslie A, Levin A, Lewington A, Li J, Li N, Li X, Li Y, Liberti L, Liberti ME, Liew A, Liew YF, 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Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Sun L, Li Z, Hu C, Ding J, Zhou Q, Pang G, Wu Z, Yang R, Li S, Li J, Cai J, Sun Y, Li R, Zhen H, Sun S, Zhang J, Fang M, Chen Z, Lv Y, Cao Q, Sun Y, Gong R, Huang Z, Duan Y, Liu H, Dong J, Li J, Ruan J, Lu H, He B, Li N, Li T, Xue W, Li Y, Shen J, Yang F, Zhao C, Liang Q, Zhang M, Chen C, Gong H, Hou Y, Wang J, Zhang Y, Yang H, Zhu S, Xiao L, Jin Z, Guo H, Zhao P, Brix S, Xu X, Jia H, Kristiansen K, Yang Z, Nie C. Age-dependent changes in the gut microbiota and serum metabolome correlate with renal function and human aging. Aging Cell 2023; 22:e14028. [PMID: 38015106 PMCID: PMC10726799 DOI: 10.1111/acel.14028] [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] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 11/29/2023] Open
Abstract
Human aging is invariably accompanied by a decline in renal function, a process potentially exacerbated by uremic toxins originating from gut microbes. Based on a registered household Chinese Guangxi longevity cohort (n = 151), we conducted comprehensive profiling of the gut microbiota and serum metabolome of individuals from 22 to 111 years of age and validated the findings in two independent East Asian aging cohorts (Japan aging cohort n = 330, Yunnan aging cohort n = 80), identifying unique age-dependent differences in the microbiota and serum metabolome. We discovered that the influence of the gut microbiota on serum metabolites intensifies with advancing age. Furthermore, mediation analyses unveiled putative causal relationships between the gut microbiota (Escherichia coli, Odoribacter splanchnicus, and Desulfovibrio piger) and serum metabolite markers related to impaired renal function (p-cresol, N-phenylacetylglutamine, 2-oxindole, and 4-aminohippuric acid) and aging. The fecal microbiota transplantation experiment demonstrated that the feces of elderly individuals could influence markers related to impaired renal function in the serum. Our findings reveal novel links between age-dependent alterations in the gut microbiota and serum metabolite markers of impaired renal function, providing novel insights into the effects of microbiota-metabolite interplay on renal function and healthy aging.
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Affiliation(s)
- Liang Sun
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Zhiming Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
- State Key Laboratory of Genetic EngineeringCollaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan UniversityShanghaiChina
| | | | - Jiahong Ding
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Qi Zhou
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Zhu Wu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Ruiyue Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Shenghui Li
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and HealthChina Agricultural UniversityBeijingChina
| | - Jian Li
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jianping Cai
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yuzhe Sun
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Rui Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Hefu Zhen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Shuqin Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Jianmin Zhang
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Mingyan Fang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Zhihua Chen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yuan Lv
- Jiangbin HospitalNanningChina
| | - Qizhi Cao
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Yanan Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Ranhui Gong
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Zezhi Huang
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Hengshuo Liu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jun Dong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Junchun Li
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Jie Ruan
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Haorong Lu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | | | | | - Tao Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Wenbin Xue
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yan Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Juan Shen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Fan Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Cheng Zhao
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Mingrong Zhang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Chen Chen
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huan Gong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yong Hou
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Jian Wang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Ying Zhang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huanming Yang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Shida Zhu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI ResearchShenzhenChina
| | - Liang Xiao
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI ResearchShenzhenChina
| | - Zhen Jin
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Haiyun Guo
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Peng Zhao
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Susanne Brix
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Xun Xu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
| | - Huijue Jia
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Karsten Kristiansen
- BGI ResearchShenzhenChina
- Laboratory of Genomics and Molecular Biomedicine, Department of BiologyUniversity of CopenhagenCopenhagenDenmark
- Qingdao‐Europe Advanced Institute for Life SciencesQingdaoShandongChina
| | - Ze Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Chao Nie
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
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Dodge K, Liu Y, Klots AR, Cole B, Shearrow A, Senatore M, Zhu S, Ioffe LB, McDermott R, Plourde BLT. Hardware Implementation of Quantum Stabilizers in Superconducting Circuits. Phys Rev Lett 2023; 131:150602. [PMID: 37897769 DOI: 10.1103/physrevlett.131.150602] [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] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 09/07/2023] [Indexed: 10/30/2023]
Abstract
Stabilizer operations are at the heart of quantum error correction and are typically implemented in software-controlled entangling gates and measurements of groups of qubits. Alternatively, qubits can be designed so that the Hamiltonian corresponds directly to a stabilizer for protecting quantum information. We demonstrate such a hardware implementation of stabilizers in a superconducting circuit composed of chains of π-periodic Josephson elements. With local on-chip flux and charge biasing, we observe a progressive softening of the energy band dispersion with respect to flux as the number of frustrated plaquette elements is increased, in close agreement with our numerical modeling.
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Affiliation(s)
- K Dodge
- Department of Physics, Syracuse University, Syracuse, New York 13244-1130, USA
| | - Y Liu
- Department of Physics, Syracuse University, Syracuse, New York 13244-1130, USA
| | - A R Klots
- Google Quantum AI, Santa Barbara, California 93111, USA
| | - B Cole
- Department of Physics, Syracuse University, Syracuse, New York 13244-1130, USA
| | - A Shearrow
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - M Senatore
- Department of Physics, Syracuse University, Syracuse, New York 13244-1130, USA
| | - S Zhu
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - L B Ioffe
- Google Quantum AI, Santa Barbara, California 93111, USA
| | - R McDermott
- Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B L T Plourde
- Department of Physics, Syracuse University, Syracuse, New York 13244-1130, USA
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16
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Zhu S, Cordero-Marcos M, Czeizler E, Bose S, Magliari A, Chetty IJ. Predicting Prostate VMAT 3D Radiation Doses of Continuously Varying Organ Dose Trade-Offs Using a Conditional Variational Autoencoder. Int J Radiat Oncol Biol Phys 2023; 117:S164-S165. [PMID: 37784411 DOI: 10.1016/j.ijrobp.2023.06.262] [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) Predicting 3D radiation doses from planning structures is a promising method of knowledge-based treatment planning. However, most models are designed to predict only one 3D dose distribution per patient, based on historical organ dose trade-offs. To allow customizable plan generation, in this study, we aim to show the feasibility of dose prediction in which the degrees of organ dose trade-off could be explicitly specified. Specifically, the bladder vs. rectum dose trade-off in prostate cancer was investigated. MATERIALS/METHODS In an IRB-approved study, we obtained imaging and structure contours for 167 patients with prostate cancer who received definitive radiotherapy. Training data was generated by automatically creating 3 different plans for each patient: while keeping target dose patterns constant, 1 base plan was generated with optimization objectives directly based on the output of a custom RapidPlan model prediction (S = 0), 1 plan with the goal to significantly lower bladder dose relative to the rectum (S = -1), and 1 plan with the goal to significantly lower rectum dose relative to the bladder (S = 1). This process was achieved by adjusting priority values during optimization. S is a scalar indicating the degree of bladder vs. rectum dose trade-off (higher S = higher dose to the bladder relative to the rectum). A conditional variational autoencoder (cVAE) was constructed as the generative model. Training, validation, and testing sets consist of 124, 10, and 33 patients, respectively. During training, the inputs to the model were 3D structure masks with voxel values modified based on S, and the output was the corresponding 3D dose. For model testing, we selected 7 equispaced values of S in the range [-1, +1] for each of the 33 test patients, generated the 3D doses for each S value (normalized to D2% = 110%), and calculated the differences of key dosimetric parameters (for S levels other than 0) compared to the predicted base plan (S = 0). The mean and standard deviations for these differences were reported. RESULTS The cVAE model converged after training for 800 epochs. As the value of S increased from -1 to +1, the target coverage remained similar, while the doses to the bladder and rectum increased and decreased, respectively, as expected (Table 1). This pattern was also confirmed by qualitative examination of dose-volume histograms for additional S values. CONCLUSION We demonstrated the feasibility of predicting 3D radiation dose distributions for prostate cancer where the degrees of organ dose trade-off could be explicitly specified.
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Affiliation(s)
- S Zhu
- Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI
| | | | - E Czeizler
- Varian Medical Systems, Helsinki, CA, Finland
| | - S Bose
- Varian Medical Systems, Palo Alto, CA
| | | | - I J Chetty
- Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI
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17
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Zhang W, Tang Y, Chen W, Gao Y, Wang W, Liu S, Wei L, Cai Y, Zhu Y, Cheng G, Zhang H, Wang X, Zhu S, Wang J, Li G, Yang J, Zhang K, Li N, Li Y, Jin J. Cost-Effectiveness of Short-Course Radiotherapy Based Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer in China. Int J Radiat Oncol Biol Phys 2023; 117:e356-e357. [PMID: 37785230 DOI: 10.1016/j.ijrobp.2023.06.2439] [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 phase III STELLAR (NCT02533271) trial demonstrated that four cycles of chemotherapy after short-course radiotherapy (SCRT-TNT) were not inferior to the standard care of long-course concurrent radiotherapy (LCRT) in patients with locally advanced rectal cancer (LARC). This study assessed the cost-effectiveness of SCRT-TNT versus LCRT in locally advanced rectal cancer in China on the basis of the STELLAR trial. MATERIALS/METHODS A Markov model was used to synthesize the healthcare costs and benefits of LARC patients based on results from the STELLAR trial. The model assumes that LARC who meet the inclusion criteria of the STELLAR trial experience four possible states: No Evidence of Disease (NED), locally recurrence, distant metastases, or any death from rectal cancer or other unrelated causes, where local recurrence continues to be classified as resectable and unresectable. The transition status period is 3 month, and 5 years is used to calculate direct medical costs and health benefits. The probabilities of states transition after SCRT-TNT or LCRT were derived from the results of the STELLAR trial and previous published article (Table.1). Costs were evaluated from the Chinese payer's perspective reported in early 2022 US dollars (US$1 = 6.78 Chinese Yuan). Sensitivity analyses were performed for key variables. Cost-effectiveness was evaluated using the incremental cost-effectiveness ratio and net monetary benefits. Effectiveness was defined as quality-adjusted life-years (QALYs). Willingness-to-pay (WTP) threshold was set at $43500/QALY. Data were collected from October 3, 2020, to September 20, 2021, and analyzed from November 15, 2020, to October 25, 2021. RESULTS During the 5-year horizon, for the base case scenario, SCRT-TNT incurred a lower total cost and higher QALYs compared with LCCRT. The total cost was $65767 and QALYs were 1.77 for SCRT-TNT; for LCCRT, the total cost was $72802 and QALYs were 1.64. This resulted in an ICER of -$ 55470.69 per QALY. Therefore, SCRT-TNT was a cost-saving and dominating treatment strategy compared with LCRT. Sensitivity analysis showed that ICERs were most sensitive to the parameters of distant metastases risk after treatment. CONCLUSION SCRT-TNT in locally advanced rectal cancer can be a cost-effective alternative to LCRT in China, and should be considered in appropriately selected patients.
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Affiliation(s)
- W Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Y Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Gao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - W Wang
- Guizhou Provincial Cancer Hospital, GUIZHOU, China
| | - S Liu
- Jilin Provincial Cancer Hospital, Changchun, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Y Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Zhu
- Zhejiang Cancer Hospital, Hangzhou, China
| | - G Cheng
- Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - H Zhang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China, Wuhan, China
| | - X Wang
- Department of Radiation Oncology/Abdominal Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - S Zhu
- Hunan Cancer Hospital, Changsha, Hunan province, China
| | - J Wang
- Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - G Li
- Department of Radiation Oncology, National Geriatrics Center, Beijing Hospital of the Ministry of Health, Beijing, China
| | - J Yang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - K Zhang
- Qinghai Red Cross Hospital, XINING, China
| | - N Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China; Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, Beijing, China
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Zhu S, Gilbert M, Ghanem AI, Siddiqui F, Thind K. Feasibility of Using Zero-Shot Learning in Transformer-Based Natural Language Processing Algorithm for Key Information Extraction from Head and Neck Tumor Board Notes. Int J Radiat Oncol Biol Phys 2023; 117:e500. [PMID: 37785573 DOI: 10.1016/j.ijrobp.2023.06.1743] [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) Natural language processing (NLP) technology has the potential to automate information aggregation and summarization in oncology. One example is the automation of patient registry creation. In this work, we aim to show (1) the feasibility of using modern NLP algorithms to extract key information from tumor board notes, and (2) the impact of prompt engineering on the quality of the results. MATERIALS/METHODS In this IRB-approved study, we obtained the texts of head and neck tumor board notes for 306 unique patients. Five key pieces of information used to create a patient registry were predefined: age, gender, tumor histology, tumor stage, and primary location. The NLP algorithm used was a modified Text-To-Text Transfer Transformer (T5) model that was initially trained on the Colossal Clean Crawled Corpus (C4) dataset and subsequently fine-tuned on the Stanford Question Answering Dataset (SQuAD) to perform the downstream task of extractive question answering. The NLP model and trained weights were obtained from the Hugging Face platform. During inference, the entire body of the tumor board note and a related question were fed as inputs, and the model predicted a sequence of texts in response to the question. Two sets of questions of similar semantic meanings were used. Questions in prompt set #1 included "What is the gender?", "What is the age?", "What is the type of carcinoma in pathological diagnosis?", "What is the stage?", and "Where is the carcinoma located at?". Questions in prompt set #2 include "Is the patient male or female?", "How old is the patient?", "What kind of cancer?", "What is the cancer stage?", and "What is the tumor location?". Each model-predicted response was compared to the ground truth extracted from the tumor board notes. A response was classified as true if it is consistent with the ground truth, otherwise, it was deemed false. The response accuracy for each question was subsequently calculated. RESULTS The median number of words in each tumor board note was 448 (range, 219 - 1505). The accuracy of the NLP algorithm for each question from either set is reported in Table 1. Algorithm performance is higher for extracting objective information such as age, gender, and histology. In addition, it was found that questions of similar semantic meanings but with different wording can lead to significantly different results. CONCLUSION We demonstrated that a transformer-based extractive question-answering NLP algorithm can be successfully used for extracting information from head and neck tumor board notes with zero-shot learning. Furthermore, our results highlight the significance of prompt engineering for applying NLP for this task. Future work on finetuning these algorithms to oncology-specific texts can potentially enhance algorithm performance for more difficult tasks.
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Affiliation(s)
- S Zhu
- Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI
| | - M Gilbert
- Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI
| | - A I Ghanem
- Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI; Alexandria Clinical Oncology Department, Alexandria University, Alexandria, Egypt
| | - F Siddiqui
- Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI
| | - K Thind
- Henry Ford Health Systems, Detroit, MI
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Hong H, Mocci E, Kamp K, Zhu S, Cain KC, Burr RL, Perry J, Heitkemper MM, Weaver-Toedtman KR, Dorsey SG. Genetic Variations in TrkB.T1 Isoform and Their Association with Somatic and Psychological Symptoms in Individuals with IBS. medRxiv 2023:2023.09.14.23295434. [PMID: 37745409 PMCID: PMC10516087 DOI: 10.1101/2023.09.14.23295434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Irritable bowel syndrome (IBS), a disorder of gut-brain interaction, is often comorbid with somatic pain and psychological disorders. Dysregulated signaling of brain-derived neurotrophic factor (BDNF) and its receptor, tropomyosin-related kinase B (TrkB), has been implicated in somatic-psychological symptoms in individuals with IBS. Thus, we investigated the association of 10 single nucleotide polymorphisms (SNPs) in the regulatory 3' untranslated region (UTR) of NTRK2 (TrkB) kinase domain-deficient truncated isoform (TrkB.T1) and the BDNF Val66Met SNP with somatic and psychological symptoms and quality of life in a U.S. cohort (IBS n=464; healthy controls n=156). We found that the homozygous recessive genotype (G/G) of rs2013566 in individuals with IBS is associated with worsened somatic symptoms, including headache, back pain, joint pain, muscle pain, and somatization as well as diminished sleep quality, energy level and overall quality of life. Validation using U.K. BioBank (UKBB) data confirmed the association of rs2013566 with increased likelihood of headache. Several SNPs (rs1627784, rs1624327, rs1147198) showed significant associations with muscle pain in our U.S. cohort. Notably, these SNPs are predominantly located in H3K4Me1-enriched regions, suggesting their enhancer and/or transcription regulation potential. Together, our findings suggest that genetic variation within the 3'UTR region of the TrkB.T1 isoform may contribute to comorbid conditions in individuals with IBS, resulting in a spectrum of somatic and psychological symptoms that may influence their quality of life. These findings advance our understanding of the genetic interaction between BDNF/TrkB pathways and somatic-psychological symptoms in IBS, highlighting the importance of further exploring this interaction for potential clinical applications.
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Affiliation(s)
- H Hong
- Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing
| | - E Mocci
- Department of Pain and Translational Symptom Science, University of Maryland School of Nursing
| | - K Kamp
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing
| | - S Zhu
- Department of Organizational Systems and Adult Health, University of Maryland School of Nursing
| | - K C Cain
- Department of Biostatistics, University of Washington School of Nursing
| | - R L Burr
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing
| | - J Perry
- Department of Medicine, University of Maryland School of Medicine
| | - M M Heitkemper
- Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing
| | - K R Weaver-Toedtman
- Department of Biobehavioral Health and Nursing Science, University of South Carolina College of Nursing
| | - S G Dorsey
- Department of Pain and Translational Symptom Science, University of Maryland School of Nursing
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Fujiwara N, Kubota N, Zhu S, Nakagawa S, Baba H, Hoshida Y. Disseminative Recurrence Signature for Hepatocellular Carcinoma From Nonalcoholic Fatty Liver Disease. Gastro Hep Adv 2023; 2:681-683. [PMID: 37621719 PMCID: PMC10448704 DOI: 10.1016/j.gastha.2023.03.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Affiliation(s)
- N Fujiwara
- Division of Digestive and Liver Diseases, Department of Internal Medicine, Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
- Department of Gastroenterology and Hepatology, Mie University, Tsu, Mie, Japan
| | - N Kubota
- Division of Digestive and Liver Diseases, Department of Internal Medicine, Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - S Zhu
- Division of Digestive and Liver Diseases, Department of Internal Medicine, Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - S Nakagawa
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - H Baba
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Y Hoshida
- Division of Digestive and Liver Diseases, Department of Internal Medicine, Liver Tumor Translational Research Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
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21
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Feng Z, Shao D, Cai Y, Bi R, Ju X, Chen D, Song C, Chen X, Li J, An N, Li Y, Zhou Q, Xiu Z, Zhu S, Wu X, Wen H. Homologous recombination deficiency status predicts response to platinum-based chemotherapy in Chinese patients with high-grade serous ovarian carcinoma. J Ovarian Res 2023; 16:53. [PMID: 36922847 PMCID: PMC10015784 DOI: 10.1186/s13048-023-01129-x] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 02/27/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Homologous Recombination Deficiency (HRD) is a predictive biomarker for ovarian cancer treated with PARP inhibitors or for breast cancer treated with first-line platinum-based chemotherapy. However, limited research is documented on platinum-based treatment prediction with HRD as a biomarker in ovarian cancer patients, especially in the Chinese population. METHODS We investigated the association between HRD status and the response of platinum-based chemotherapy in 240 Chinese HGSOC patients. RESULTS The Pt-sensitive patients showed higher HRD scores than Pt-resistant ones, but this was not significant(median: 42.6 vs. 31.6, p = 0.086). (Pt)-sensitive rate was higher in HRD + BRCAm tumors and in HRD + BRCAwt tumors (HRD + BRCAm: 97%, p = 0.004 and HRD + BRCAwt: 90%, p = 0.04) compared with 74% in the HRD-BRCAwt tumors. We also found Pt-sensitive patients tend to be enriched in patients with BRCA mutations or non-BRCA HRR pathway gene mutations (BRCA: 93.6% vs 75.4%, p < 0.001; non-BRCA HRR: 88.6% vs 75.4%, p = 0.062). Patients with HRD status positive had significantly improved PFS compared with those with HRD status negative (median PFS: 30.5 months vs. 16.8 months, Log-rank p = 0.001). Even for BRCAwt patients, positive HRD was also associated with better PFS than the HRD-negative group (median: 27.5 months vs 16.8 months, Log-rank p = 0.010). Further, we found patients with pathogenic mutations located in the DNA-binding domain (DBD) of BRCA1 had improved FPS, compared to those with mutations in other domains. (p = 0.03). CONCLUSIONS The HRD status can be identified as an independent significance in Chinese HGSOC patients treated with first-line platinum-based chemotherapy.
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Affiliation(s)
- Zheng Feng
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, 270 DongAn Rd, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Di Shao
- BGI Genomics, BGI-Shenzhen, BGI Genomics, Beishan Industrial Zone, Yantian District, ShenzhenShenzhen, 518083518083, China
| | - Yuhang Cai
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, 300308, China
| | - Rui Bi
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xingzhu Ju
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, 270 DongAn Rd, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Dongju Chen
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, 300308, China
| | - Chengcheng Song
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, 300308, China
| | - Xiaojun Chen
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, 270 DongAn Rd, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin Li
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, 270 DongAn Rd, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Na An
- BGI Genomics, BGI-Shenzhen, BGI Genomics, Beishan Industrial Zone, Yantian District, ShenzhenShenzhen, 518083518083, China
| | - Yunjin Li
- BGI Genomics, BGI-Shenzhen, BGI Genomics, Beishan Industrial Zone, Yantian District, ShenzhenShenzhen, 518083518083, China
| | - Qing Zhou
- BGI Genomics, BGI-Shenzhen, BGI Genomics, Beishan Industrial Zone, Yantian District, ShenzhenShenzhen, 518083518083, China
| | - Zhihui Xiu
- BGI Genomics, BGI-Shenzhen, BGI Genomics, Beishan Industrial Zone, Yantian District, ShenzhenShenzhen, 518083518083, China
| | - Shida Zhu
- BGI Genomics, BGI-Shenzhen, BGI Genomics, Beishan Industrial Zone, Yantian District, ShenzhenShenzhen, 518083518083, China.
| | - Xiaohua Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, 270 DongAn Rd, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Hao Wen
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, 270 DongAn Rd, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Yu SY, He X, Tian ZL, Li KX, Chen H, Wang HM, Shi ZS, Zhu S, Cui ZC. Effect of Collagen-Reactive Functional Monomer on Etch-and-Rinse Adhesives. J Dent Res 2023; 102:287-294. [PMID: 36474440 DOI: 10.1177/00220345221134278] [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] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
In this study, we evaluated a novel functional monomer (4-formylphenyl acrylate [FA]) that can specifically and covalently bind to the dentin collagen matrix as a potential alternative hydrophobic diluent-like monomer for improving the durability of dentin bonding. Experimental adhesives with different FA contents (0%, 10%, 20%, and 30%) were evaluated as partial substituents for the hydrophilic monomer 2-hydroxyethyl methacrylate, with the commercial adhesive One-Step (Bisco, Inc.) employed as the positive control. Their degree of conversion, viscosity, hydrophobicity, mechanical properties, and water absorption/solubility were measured as the comprehensive characterization. In situ zymographic assays were performed to determine the extent to which FA inhibits the endogenous hydrolytic activity of dentin. Finally, the bonding performances of the novel adhesives were evaluated with microtensile strength tests and scanning electron microscopy. The results showed that the incorporation of FA significantly improved the mobility of experimental adhesives attributable to the dilution property of FA. In contrast to the possible compromised rate of polymerization by hydroxyethyl methacrylate, FA exhibited typical characteristics of favorable copolymerization with polymerizable monomers in adhesives and improved the degree of conversion of experimental adhesives. The rigidity and hydrophobic properties of the phenyl framework of the FA molecule conferred superior mechanical properties and hydrolysis resistance to the novel experimental adhesives. An inhibitory effect on gelatinolytic activities within the hybrid layer was also observed in the in situ zymographic assays, even at a low FA concentration (10%). In conjunction with the significantly improved infiltration found via scanning electron microscopy, the experimental adhesives containing FA possessed significantly better-maintained microtensile strength, even after aging. Thus, the incorporation of this novel monomer endowed the experimental adhesives with multiple enhanced functionalities. These remarkable advantages highlight the suitability of the monomer for further applications in clinical practice.
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Affiliation(s)
- S Y Yu
- Department of Prosthetic Dentistry, School and Hospital of Stomatology, Jilin University, Changchun, China
| | - X He
- Department of Prosthetic Dentistry, School and Hospital of Stomatology, Jilin University, Changchun, China
| | - Z L Tian
- Department of Prosthetic Dentistry, School and Hospital of Stomatology, Jilin University, Changchun, China
| | - K X Li
- State Key Laboratory of Supramolecular Structures and Materials, College of Chemistry, Jilin University, Changchun, China
| | - H Chen
- Department of Prosthetic Dentistry, School and Hospital of Stomatology, Jilin University, Changchun, China
| | - H M Wang
- Department of Prosthetic Dentistry, School and Hospital of Stomatology, Jilin University, Changchun, China
| | - Z S Shi
- State Key Laboratory of Supramolecular Structures and Materials, College of Chemistry, Jilin University, Changchun, China
| | - S Zhu
- Department of Prosthetic Dentistry, School and Hospital of Stomatology, Jilin University, Changchun, China
| | - Z C Cui
- State Key Laboratory of Supramolecular Structures and Materials, College of Chemistry, Jilin University, Changchun, China
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Tang H, Zhu S, Chen K, Yuan S, Hu J, Wang H. IL-17A regulates autophagy and promotes osteoclast differentiation through the ERK/mTOR/Beclin1 pathway. PLoS One 2023; 18:e0281845. [PMID: 36795736 PMCID: PMC9934321 DOI: 10.1371/journal.pone.0281845] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 02/01/2023] [Indexed: 02/17/2023] Open
Abstract
Bone is a frequent target of tumor metastasis, with high incidence rate and poor prognosis. Osteoclasts play a key role in the process of tumor bone metastasis. Interleukin-17A (IL-17A) is an inflammatory cytokine, highly expressed in a variety of tumor cells, that can alter the autophagic activity of other cells, thereby causing corresponding lesions. Previous studies have shown that low concentration IL-17A can promote osteoclastogenesis. The aim of this study was to clarify the mechanism of low concentration IL-17A promoting osteoclastogenesis by regulating autophagic activity. The results of our study showed that IL-17A could promote the differentiation of osteoclast precursors (OCPs) into osteoclasts in the presence of RANKL, and increase the mRNA levels of osteoclast-specific genes. Moreover, IL-17A increased the expression of Beclin1 by inhibiting the phosphorylation of ERK and mTOR, leading to enhanced autophagy of OCPs, accompanied by decreased OCP apoptosis. Furthermore, knockdown of Beclin1 and suppression of autophagy by 3-methyladenine (3-MA) significantly attenuated the enhanced osteoclastogenesis induced by IL-17A. In summary, these results indicate that low concentration IL-17A enhances the autophagic activity of OCPs through the ERK/mTOR/Beclin1 pathway during osteoclastogenesis, and further promotes osteoclast differentiation, suggesting that IL-17A may serve as a potential therapeutic target for cancer-related bone resorption in cancer patients.
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Affiliation(s)
- Hao Tang
- Department of Orthopaedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Shida Zhu
- Department of Orthopaedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Kai Chen
- Department of Orthopaedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Shujie Yuan
- Department of Orthopaedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Junzu Hu
- Department of Orthopaedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
| | - Hongkai Wang
- Department of Orthopaedics, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
- Department of Guangxi, Key Laboratory of Glucose and Lipid Metabolism, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China
- * E-mail:
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Zhu S, Ergün B, Busch J, Rabien A. MMP-14 implication in immunoregulation of bladder cancer. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00584-5] [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: 02/12/2023]
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25
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Yang Y, Deng S, Wang C, Wang Y, Shi Y, Lin J, Wang N, Su L, Yang F, Wang H, Zhu S. Association of Dental Caries with Muscle Mass, Muscle Strength, and Sarcopenia: A Community-Based Study. J Nutr Health Aging 2023; 27:10-20. [PMID: 36651482 DOI: 10.1007/s12603-022-1875-8] [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] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Changes in the oral cavity can reflect other changes throughout the body. This study aimed to investigate the association of dental caries with muscle mass, muscle strength, and sarcopenia, and also to describe the microbial diversity, composition, and community structure of severe dental caries and sarcopenia. DESIGN Cross-sectional study based on a Chinese population aged from 50 to 85 years. SETTING Communities from Lanxi City, Zhejiang Province, China. PARTICIPANTS A total of 1,442 participants aged from 50 to 85 years from a general community (62.8% women; median age 61.0 [interquartile range: 55.0, 68.0]). MEASUREMENTS Dental caries was assessed by the decayed, missing, and filled teeth (DMFT) index. Sarcopenia was defined as the presence of both low muscle mass (assessed by dual-energy X-ray absorptiometry scanning) and low muscle strength (assessed by handgrip strength). Multivariate logistic regression models were used to analyze the association of dental caries with muscle mass, muscle strength, and sarcopenia. Fecal samples underwent 16S rRNA profiling to evaluate the diversity and composition of the gut microbiota in patients with severe dental caries and/or sarcopenia. RESULTS In the fully adjusted logistic models, dental caries was positively associated with low muscle strength (DMFT ≥ 7: OR, 1.61; 95% CI, 1.25-2.06), and sarcopenia (DMFT ≥ 7: OR, 1.51; 95% CI, 1.01-2.26), but not low muscle mass. Severe dental caries was positively associated with higher alpha-diversity indices (richness, chao1, and ACE, all p < 0.05) and associated with beta-diversity based on Bray-Curtis distance (p = 0.006). The severe dental caries group and the sarcopenia group overlapped with 11 depleted and 13 enriched genera. CONCLUSION Dental caries was positively associated with low muscle strength and sarcopenia but not muscle mass, and this association was more pronounced in male individuals. Significant differences were observed in gut microbiota composition both in severe dental caries and sarcopenia, and there was an overlap of the genera features. Future longitudinal studies are needed to clarify causal relationships.
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Affiliation(s)
- Y Yang
- Dr. Huiming Wang, Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, North Qiutao Road No.166, Hangzhou, Zhejiang, China, ; Tel: 13858092696; Fax: 0571-87217433; Dr. Shankuan Zhu, Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; ; Tel : +86-571-8820-8520; Fax: +86-571-8820-8520
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Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, Mitchell TJ, Rubanova Y, Anur P, Yu K, Tarabichi M, Deshwar A, Wintersinger J, Kleinheinz K, Vázquez-García I, Haase K, Jerman L, Sengupta S, Macintyre G, Malikic S, Donmez N, Livitz DG, Cmero M, Demeulemeester J, Schumacher S, Fan Y, Yao X, Lee J, Schlesner M, Boutros PC, Bowtell DD, Zhu H, Getz G, Imielinski M, Beroukhim R, Sahinalp SC, Ji Y, Peifer M, Markowetz F, Mustonen V, Yuan K, Wang W, Morris QD, Spellman PT, Wedge DC, Van Loo P, Tarabichi M, Wintersinger J, Deshwar AG, Yu K, Gonzalez S, Rubanova Y, Macintyre G, Adams DJ, Anur P, Beroukhim R, Boutros PC, Bowtell DD, Campbell PJ, Cao S, Christie EL, Cmero M, Cun Y, Dawson KJ, Demeulemeester J, Donmez N, Drews RM, Eils R, Fan Y, Fittall M, Garsed DW, Getz G, Ha G, Imielinski M, Jerman L, Ji Y, Kleinheinz K, Lee J, Lee-Six H, Livitz DG, Malikic S, Markowetz F, Martincorena I, Mitchell TJ, Mustonen V, Oesper L, Peifer M, Peto M, Raphael BJ, Rosebrock D, Sahinalp SC, Salcedo A, Schlesner M, Schumacher S, Sengupta S, Shi R, Shin SJ, Spiro O, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Stein LD, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Vázquez-García I, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Vembu S, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Wheeler DA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Yang TP, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Yao X, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Yuan K, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Zhu H, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Wang W, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Morris QD, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Spellman PT, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Wedge DC, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Van Loo P, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Spellman PT, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Wedge DC, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Van Loo P, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Aaltonen LA, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Abascal F, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Abeshouse A, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Aburatani H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Adams DJ, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Agrawal N, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Ahn KS, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Ahn SM, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Aikata H, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Akbani R, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Akdemir KC, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Al-Ahmadie H, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Al-Sedairy ST, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Al-Shahrour F, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Alawi M, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Albert M, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Aldape K, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Alexandrov LB, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Ally A, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Alsop K, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Alvarez EG, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Amary F, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Amin SB, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Aminou B, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ammerpohl O, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Anderson MJ, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Ang Y, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Antonello D, von Mering C, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV. Author Correction: The evolutionary history of 2,658 cancers. Nature 2023; 614:E42. [PMID: 36697833 PMCID: PMC9931577 DOI: 10.1038/s41586-022-05601-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Wellcome Sanger Institute, Cambridge, UK.
| | - Clemency Jolly
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Ignaty Leshchiner
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Stefan C. Dentro
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK
| | - Santiago Gonzalez
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Daniel Rosebrock
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Thomas J. Mitchell
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Yulia Rubanova
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Pavana Anur
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - Kaixian Yu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Maxime Tarabichi
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Amit Deshwar
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Jeff Wintersinger
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Kortine Kleinheinz
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Heidelberg University, Heidelberg, Germany
| | - Ignacio Vázquez-García
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Kerstin Haase
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Lara Jerman
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK ,grid.8954.00000 0001 0721 6013University of Ljubljana, Ljubljana, Slovenia
| | - Subhajit Sengupta
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA
| | - Geoff Macintyre
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Salem Malikic
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Nilgun Donmez
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Dimitri G. Livitz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Marek Cmero
- grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, Victoria Australia ,grid.1042.70000 0004 0432 4889Walter and Eliza Hall Institute, Melbourne, Victoria Australia
| | - Jonas Demeulemeester
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.5596.f0000 0001 0668 7884University of Leuven, Leuven, Belgium
| | - Steven Schumacher
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Yu Fan
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Xiaotong Yao
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Juhee Lee
- grid.205975.c0000 0001 0740 6917University of California Santa Cruz, Santa Cruz, CA USA
| | - Matthias Schlesner
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul C. Boutros
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, Ontario Canada ,grid.19006.3e0000 0000 9632 6718University of California, Los Angeles, CA USA
| | - David D. Bowtell
- grid.1055.10000000403978434Peter MacCallum Cancer Centre, Melbourne, Victoria Australia
| | - Hongtu Zhu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Gad Getz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA USA ,grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Marcin Imielinski
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Rameen Beroukhim
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - S. Cenk Sahinalp
- grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada ,grid.411377.70000 0001 0790 959XIndiana University, Bloomington, IN USA
| | - Yuan Ji
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822The University of Chicago, Chicago, IL USA
| | - Martin Peifer
- grid.6190.e0000 0000 8580 3777University of Cologne, Cologne, Germany
| | - Florian Markowetz
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ville Mustonen
- grid.7737.40000 0004 0410 2071University of Helsinki, Helsinki, Finland
| | - Ke Yuan
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK ,grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Wenyi Wang
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Quaid D. Morris
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | | | - Paul T. Spellman
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - David C. Wedge
- grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK ,grid.454382.c0000 0004 7871 7212Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Peter Van Loo
- The Francis Crick Institute, London, UK. .,University of Leuven, Leuven, Belgium.
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Calabrese C, Davidson NR, Demircioğlu D, Fonseca NA, He Y, Kahles A, Lehmann KV, Liu F, Shiraishi Y, Soulette CM, Urban L, Greger L, Li S, Liu D, Perry MD, Xiang Q, Zhang F, Zhang J, Bailey P, Erkek S, Hoadley KA, Hou Y, Huska MR, Kilpinen H, Korbel JO, Marin MG, Markowski J, Nandi T, Pan-Hammarström Q, Pedamallu CS, Siebert R, Stark SG, Su H, Tan P, Waszak SM, Yung C, Zhu S, Awadalla P, Creighton CJ, Meyerson M, Ouellette BFF, Wu K, Yang H, Brazma A, Brooks AN, Göke J, Rätsch G, Schwarz RF, Stegle O, Zhang Z, Wu K, Yang H, Fonseca NA, Kahles A, Lehmann KV, Urban L, Soulette CM, Shiraishi Y, Liu F, He Y, Demircioğlu D, Davidson NR, Calabrese C, Zhang J, Perry MD, Xiang Q, Greger L, Li S, Liu D, Stark SG, Zhang F, Amin SB, Bailey P, Chateigner A, Cortés-Ciriano I, Craft B, Erkek S, Frenkel-Morgenstern M, Goldman M, Hoadley KA, Hou Y, Huska MR, Khurana E, Kilpinen H, Korbel JO, Lamaze FC, Li C, Li X, Li X, Liu X, Marin MG, Markowski J, Nandi T, Nielsen MM, Ojesina AI, Pan-Hammarström Q, Park PJ, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Pedamallu CS, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pedersen JS, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Siebert R, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Su H, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Tan P, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Teh BT, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Wang J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Waszak SM, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Xiong H, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Yakneen S, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Ye C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Yung C, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Zhang X, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Zheng L, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Zhu J, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Zhu S, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Awadalla P, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Creighton CJ, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Meyerson M, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Ouellette BFF, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Wu K, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Yang H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Göke J, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Schwarz RF, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Stegle O, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Zhang Z, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Brazma A, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Rätsch G, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Brooks AN, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Brazma A, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Brooks AN, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Göke J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Rätsch G, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Schwarz RF, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Stegle O, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Zhang Z, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Aaltonen LA, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Abascal F, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Abeshouse A, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Aburatani H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, 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S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, 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Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, 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Author Correction: Genomic basis for RNA alterations in cancer. Nature 2023; 614:E37. [PMID: 36697831 PMCID: PMC9931574 DOI: 10.1038/s41586-022-05596-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
| | - Claudia Calabrese
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Natalie R. Davidson
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medical College, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Deniz Demircioğlu
- grid.4280.e0000 0001 2180 6431National University of Singapore, Singapore, Singapore ,grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Nuno A. Fonseca
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Yao He
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - André Kahles
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Kjong-Van Lehmann
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Fenglin Liu
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Yuichi Shiraishi
- grid.26999.3d0000 0001 2151 536XThe University of Tokyo, Minato-ku, Japan
| | - Cameron M. Soulette
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Lara Urban
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Liliana Greger
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Siliang Li
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Dongbing Liu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Marc D. Perry
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.266102.10000 0001 2297 6811University of California, San Francisco, San Francisco, CA USA
| | - Qian Xiang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Fan Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Junjun Zhang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Peter Bailey
- grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Serap Erkek
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Katherine A. Hoadley
- grid.10698.360000000122483208The University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Yong Hou
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Matthew R. Huska
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Helena Kilpinen
- grid.83440.3b0000000121901201University College London, London, UK
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Maximillian G. Marin
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Julia Markowski
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Tannistha Nandi
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Qiang Pan-Hammarström
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.4714.60000 0004 1937 0626Karolinska Institutet, Stockholm, Sweden
| | - Chandra Sekhar Pedamallu
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Reiner Siebert
- grid.410712.10000 0004 0473 882XUlm University and Ulm University Medical Center, Ulm, Germany
| | - Stefan G. Stark
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Hong Su
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Patrick Tan
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, Singapore
| | - Sebastian M. Waszak
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Christina Yung
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Shida Zhu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Philip Awadalla
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada
| | - Chad J. Creighton
- grid.39382.330000 0001 2160 926XBaylor College of Medicine, Houston, TX USA
| | - Matthew Meyerson
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | | | - Kui Wu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Huanming Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | | | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
| | - Angela N. Brooks
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA ,grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - Jonathan Göke
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745National Cancer Centre Singapore, Singapore, Singapore
| | - Gunnar Rätsch
- ETH Zurich, Zurich, Switzerland. .,Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Weill Cornell Medical College, New York, NY, USA. .,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,University Hospital Zurich, Zurich, Switzerland.
| | - Roland F. Schwarz
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), partner site Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Stegle
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Zemin Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
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28
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Lilly JV, Rokita JL, Mason JL, Patton T, Stefankiewiz S, Higgins D, Trooskin G, Larouci CA, Arya K, Appert E, Heath AP, Zhu Y, Brown MA, Zhang B, Farrow BK, Robins S, Morgan AM, Nguyen TQ, Frenkel E, Lehmann K, Drake E, Sullivan C, Plisiewicz A, Coleman N, Patterson L, Koptyra M, Helili Z, Van Kuren N, Young N, Kim MC, Friedman C, Lubneuski A, Blackden C, Williams M, Baubet V, Tauhid L, Galanaugh J, Boucher K, Ijaz H, Cole KA, Choudhari N, Santi M, Moulder RW, Waller J, Rife W, Diskin SJ, Mateos M, Parsons DW, Pollack IF, Goldman S, Leary S, Caporalini C, Buccoliero AM, Scagnet M, Haussler D, Hanson D, Firestein R, Cain J, Phillips JJ, Gupta N, Mueller S, Grant G, Monje-Deisseroth M, Partap S, Greenfield JP, Hashizume R, Smith A, Zhu S, Johnston JM, Fangusaro JR, Miller M, Wood MD, Gardner S, Carter CL, Prolo LM, Pisapia J, Pehlivan K, Franson A, Niazi T, Rubin J, Abdelbaki M, Ziegler DS, Lindsay HB, Stucklin AG, Gerber N, Vaske OM, Quinsey C, Rood BR, Nazarian J, Raabe E, Jackson EM, Stapleton S, Lober RM, Kram DE, Koschmann C, Storm PB, Lulla RR, Prados M, Resnick AC, Waanders AJ. The children's brain tumor network (CBTN) - Accelerating research in pediatric central nervous system tumors through collaboration and open science. Neoplasia 2023; 35:100846. [PMID: 36335802 PMCID: PMC9641002 DOI: 10.1016/j.neo.2022.100846] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Children's Brain Tumor Network (CBTN) is a multi-institutional international clinical research consortium created to advance therapeutic development through the collection and rapid distribution of biospecimens and data via open-science research platforms for real-time access and use by the global research community. The CBTN's 32 member institutions utilize a shared regulatory governance architecture at the Children's Hospital of Philadelphia to accelerate and maximize the use of biospecimens and data. As of August 2022, CBTN has enrolled over 4700 subjects, over 1500 parents, and collected over 65,000 biospecimen aliquots for research. Additionally, over 80 preclinical models have been developed from collected tumors. Multi-omic data for over 1000 tumors and germline material are currently available with data generation for > 5000 samples underway. To our knowledge, CBTN provides the largest open-access pediatric brain tumor multi-omic dataset annotated with longitudinal clinical and outcome data, imaging, associated biospecimens, child-parent genomic pedigrees, and in vivo and in vitro preclinical models. Empowered by NIH-supported platforms such as the Kids First Data Resource and the Childhood Cancer Data Initiative, the CBTN continues to expand the resources needed for scientists to accelerate translational impact for improved outcomes and quality of life for children with brain and spinal cord tumors.
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Affiliation(s)
- Jena V Lilly
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | | | - Tatiana Patton
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - David Higgins
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Gerri Trooskin
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Kamnaa Arya
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | | | - Yuankun Zhu
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Miguel A Brown
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Bo Zhang
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Shannon Robins
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Thinh Q Nguyen
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | | | - Emily Drake
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | | | - Noel Coleman
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Luke Patterson
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Zeinab Helili
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Nathan Young
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Meen Chul Kim
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Alex Lubneuski
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Marti Williams
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Valerie Baubet
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lamiya Tauhid
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Katie Boucher
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Heba Ijaz
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | | | | | | | | | - Whitney Rife
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | | | | | - Ian F Pollack
- UPMC The Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Stewart Goldman
- Phoenix Children's Hospital, Phoenix AZ, USA; University of Arizona College of Medicine, Phoenix AZ, USA
| | - Sarah Leary
- Seattle Children's Hospital, Seattle, WA, USA
| | | | | | | | - David Haussler
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Derek Hanson
- Joseph M. Sanzari Children's Hospital at Hackensack University Medical Center, Hackensack, NJ, USA
| | - Ron Firestein
- Hudson Institute of Medical Research, Victoria, Australia
| | - Jason Cain
- Hudson Institute of Medical Research, Victoria, Australia
| | - Joanna J Phillips
- University of California San Francisco & Benioff Children's Hospitals, San Francisco, CA, USA
| | - Nalin Gupta
- University of California San Francisco & Benioff Children's Hospitals, San Francisco, CA, USA
| | - Sabine Mueller
- University of California San Francisco & Benioff Children's Hospitals, San Francisco, CA, USA
| | | | | | - Sonia Partap
- Lucille Packard Children's Hospital Stanford, Stanford, CA, USA
| | | | | | - Amy Smith
- Orlando Health Arnold Palmer Hospital for Children, Orlando, FL, USA
| | - Shida Zhu
- China National Genebank (Beijing Genomics Institute), China
| | - James M Johnston
- University of Alabama at Birmingham, Children's of Alabama, Birmingham, AL, USA
| | | | - Matthew Miller
- Doernbecher Children's Hospital at Oregon Health & Science University (OHSU), Portland, OR, USA
| | - Matthew D Wood
- Doernbecher Children's Hospital at Oregon Health & Science University (OHSU), Portland, OR, USA
| | - Sharon Gardner
- Hassenfeld Children's Hospital at NYU Langone, New York, NY, USA
| | - Claire L Carter
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA
| | - Laura M Prolo
- Lucille Packard Children's Hospital Stanford, Stanford, CA, USA
| | - Jared Pisapia
- Maria Fareri Children's Hospital at Westchester Medical Center, Valhalla, NY, USA
| | - Katherine Pehlivan
- Maria Fareri Children's Hospital at Westchester Medical Center, Valhalla, NY, USA
| | - Andrea Franson
- C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA
| | - Toba Niazi
- Nicklaus Children's Hospital, Miami, FL, USA
| | - Josh Rubin
- St. Louis Children's Hospital, St. Louis, MO
| | | | - David S Ziegler
- Kids Cancer Centre, Sydney Children's Hospital, High St, Randwick, NSW, Australia; Children's Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, Australia; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia
| | - Holly B Lindsay
- Texas Children's Cancer and Hematology Center, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Olena M Vaske
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Carolyn Quinsey
- UNC Chapel Hill, Chapel Hill, NC, USA; North Carolina Children's Hospital, Chapel Hill, NC, USA
| | - Brian R Rood
- Children's National Hospital, Washington, DC, USA
| | - Javad Nazarian
- University Children's Zürich, Zürich, Switzerland; Center for Genetic Medicine Research, Children's National Hospital, Washington, DC, USA; The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Eric Raabe
- Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Eric M Jackson
- Johns Hopkins University School of Medicine, Baltimore, MD USA
| | | | | | - David E Kram
- UNC Chapel Hill, Chapel Hill, NC, USA; North Carolina Children's Hospital, Chapel Hill, NC, USA
| | - Carl Koschmann
- C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Michael Prados
- University of California San Francisco Benioff Children's Hospital, San Franscisco, CA, USA
| | - Adam C Resnick
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
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29
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Nie M, Ren W, Ye X, Berglund M, Wang X, Fjordén K, Du L, Giannoula Y, Lei D, Su W, Li W, Liu D, Linderoth J, Jiang C, Bao H, Jiang W, Huang H, Hou Y, Zhu S, Enblad G, Jerkeman M, Wu K, Zhang H, Amini R, Li Z, Pan‐Hammarström Q. The dual role of CD70 in B-cell lymphomagenesis. Clin Transl Med 2022; 12:e1118. [PMID: 36471481 PMCID: PMC9722974 DOI: 10.1002/ctm2.1118] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 11/05/2022] [Accepted: 11/10/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND CD70 is a costimulatory molecule that is transiently expressed on a small set of activated lymphocytes and is involved in T-cell-mediated immunity. However, the role of CD70 in B-cell malignancies remains controversial. METHODS We investigated the clinical relevance of CD70 genetic alterations and its protein expression in two diffuse large B-cell lymphoma (DLBCL) cohorts with different ethnic backgrounds. We also performed transcriptomic analysis to explore the role of CD70 alterations in tumour microenvironment. We further tested the blockade of CD70 in combination with PD-L1 inhibitor in a murine lymphoma model. RESULTS We showed that CD70 genetic aberrations occurred more frequently in the Chinese DLBCL cohort (56/233, 24.0%) than in the Swedish cohort (9/84, 10.8%), especially in those with concomitant hepatitis B virus (HBV) infection. The CD70 genetic changes in DLBCL resulted in a reduction/loss of protein expression and/or CD27 binding, which might impair T cell priming and were independently associated with poor overall survival. Paradoxically, we observed that over-expression of CD70 protein was also associated with a poor treatment response, as well as an advanced disease stage and EBV infection. More exhausted CD8+ T cells were furthermore identified in CD70 high-expression DLBCLs. Finally, in a murine lymphoma model, we demonstrated that blocking the CD70/CD27 and/or PD1/PD-L1 interactions could reduce CD70+ lymphoma growth in vivo, by directly impairing the tumour cell proliferation and rescuing the exhausted T cells. CONCLUSIONS Our findings suggest that CD70 can play a role in either tumour suppression or oncogenesis in DLBCL, likely via distinct immune evasion mechanisms, that is, impairing T cell priming or inducing T cell exhaustion. Characterisation of specific dysfunction of CD70 in DLBCL may thus provide opportunities for the development of novel targeted immuno-therapeutic strategies.
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Affiliation(s)
- Man Nie
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Weicheng Ren
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Xiaofei Ye
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Mattias Berglund
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
- Department of ImmunologyGenetics and PathologyUppsala UniversityUppsalaSweden
| | - Xianhuo Wang
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Karin Fjordén
- Department of OncologySkåne University HospitalLundSweden
| | - Likun Du
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Yvonne Giannoula
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Dexin Lei
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Wenjia Su
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
| | - Wei Li
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Dongbing Liu
- BGI‐ShenzhenShenzhenChina
- Guangdong Provincial Key Laboratory of Human Disease GenomicsShenzhen Key Laboratory of GenomicsBGI‐ShenzhenShenzhenChina
| | | | - Chengyi Jiang
- Department of HematologyJilin Cancer HospitalChangchunChina
| | - Huijing Bao
- Department of HematologyJilin Cancer HospitalChangchunChina
| | - Wenqi Jiang
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Huiqiang Huang
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | | | | | - Gunilla Enblad
- Department of ImmunologyGenetics and PathologyUppsala UniversityUppsalaSweden
| | - Mats Jerkeman
- Department of OncologySkåne University HospitalLundSweden
| | - Kui Wu
- BGI‐ShenzhenShenzhenChina
- Guangdong Provincial Key Laboratory of Human Disease GenomicsShenzhen Key Laboratory of GenomicsBGI‐ShenzhenShenzhenChina
| | - Huilai Zhang
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Rose‐Marie Amini
- Department of ImmunologyGenetics and PathologyUppsala UniversityUppsalaSweden
| | - Zhi‐Ming Li
- Department of Medical OncologyState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Qiang Pan‐Hammarström
- Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
- Department of LymphomaNational Clinical Research Center of CancerKey Laboratory of Cancer Prevention and TherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
- BGI‐ShenzhenShenzhenChina
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Zhang HY, Zhu S, Xu W, Wang AQ, Wang XL. [Efficacy of dienogest versus gonadotropin-releasing hormone agonist combined with dienogest sequential therapy in the treatment of adenomyosis]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:856-863. [PMID: 36456483 DOI: 10.3760/cma.j.cn112141-20220520-00336] [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: 06/17/2023]
Abstract
Objective: To investigate the efficacy and safety of dienogest (DNG) alone and gonadotropin-releasing hormone agonist (GnRH-a) combined with DNG sequential treatment to adenomyosis. Methods: The clinical data of 110 patients with adenomyosis attending the First Affiliated Hospital of Nanjing Medical University from December 2019 to March 2022 were retrospectively analyzed, including 40 patients treated with DNG (2 mg/day) alone (DNG group) and 70 patients treated with sequential DNG (2 mg/day) after 3-6 injections of GnRH-a (GnRH-a+DNG group). The clinical data before and after treatment were compared between the two groups. Results: (1) The dysmenorrhea visual analogue scale (VAS) scores, cancer antigen 125 (CA125) and cancer antigen 19-9 (CA19-9) levels at different time periods after treatment were significantly lower than before treatment in both groups (median before treatment: DNG group 70.0 mm, 68.55 kU/L, 22.45 kU/L respectively, GnRH-a+DNG group 80.0 mm, 151.50 kU/L, 20.44 kU/L respectively; all P<0.001). (2) The hemoglobin (Hb) levels of patients in both groups at different time periods after treatment were significantly higher than those before treatment (median: DNG group 102.00 g/L, GnRH-a+DNG group 94.00 g/L; all P<0.001). (3) Treatment with DNG alone did not have a significant effect on uterine volume in patients of DNG group (P>0.05), and uterine volume decreased significantly in the 15th-24th months of GnRH-a+DNG group compared with that before treatment (median: 167.76 vs 227.77 cm3; P<0.05). (4) There were no significant differences in hepatic and renal function and coagulation indexes between the two groups before and after treatment (all P>0.05), and no significant abnormal lesions were observed in breast tissue during the follow-up period. (5) The incidence of amenorrhea of GnRH-a+DNG group was higher than that of DNG group, and the incidences of irregular spotting bleeding and breakthrough hemorrhage were lower than those in DNG group. Conclusions: Whether DNG is used alone or in combination with GnRH-a in sequence, it could significantly relieve dysmenorrhea symptoms, improve the level of Hb, reduce the levels of CA125 and CA19-9 in patients with adenomyosis, with no adverse effects on coagulation and hepatic or renal function. GnRH-a sequential DNG therapy is superior to DNG alone in improving uterine bleeding patterns and controlling the growth of uterine volume in patients with adenomyosis.
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Affiliation(s)
- H Y Zhang
- Department of Obstetrics and Gynecology, the First Clinical School of Medicine, Nanjing Medical University, Nanjing 210029, China
| | - S Zhu
- Department of Gynecology, Jiangsu Province Hospital, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210036, China
| | - W Xu
- Department of Gynecology, Jiangsu Province Hospital, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210036, China
| | - A Q Wang
- Department of Obstetrics and Gynecology, the First Clinical School of Medicine, Nanjing Medical University, Nanjing 210029, China
| | - X L Wang
- Department of Gynecology, Jiangsu Province Hospital, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210036, China
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Zhu S, Maslowski A, Cunningham J, Kuusela E, Chetty I. 3D Dose-Driven, Automatic VMAT Machine Parameter Generation with Deep Learning. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2252] [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: 11/28/2022]
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Zhu S, Gilbert M, Chetty I, Siddiqui F. Landscape of Oncology-Specific, FDA-Approved, Artificial Intelligence and Machine Learning-Enabled Medical Devices. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1433] [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: 11/30/2022]
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Wang P, Zheng Q, Kang D, Sun X, Zhu S, Wang Y, Long W, Lin Y. 30P Investigation of KRAS G12C inhibitor JAB-21822 as a single agent and in combination with SHP2 inhibitor JAB-3312 in preclinical cancer models. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.040] [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: 12/07/2022] Open
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34
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Liu YY, Li ZX, Tan ZJ, Fang W, Tan HM, Fu D, Huang ZG, Liu JW, Liu T, He GH, Zhu S, Ma WJ. [A time-series study on the association of ambient temperature with daily outpatient visits of eczema in Huizhou city]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1423-1428. [PMID: 36274608 DOI: 10.3760/cma.j.cn112150-20220402-00316] [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: 06/16/2023]
Abstract
Objective: To explore the impact of environmental temperature exposure on eczema visits. Methods: Eczema clinic data from January 1, 2016 to December 31, 2019 were collected from the Huizhou Dermatology Hospital, and data on meteorological factors (average daily temperature and relative humidity) for the same period were derived from 86 meteorological stations of the Guangdong Provincial Climate Center. A distributed lag nonlinear model (DLNM) was used to assess the lagged effect of environmental temperature exposure on eczema, and a natural smooth spline function was used to control the nonlinear confounding of humidity. Results: There were 254 053 eczema outpatient visits at the Huizhou Dermatology Hospital within four years, with an average of 173.89 visits per day. The relationship between daily average temperature and the number of visits was non-linear (U shape). The risk of eczema increased by 2.20% (1.19%-3.21%) for every 1 ℃ decrease for the low temperature, and increased by 2.35% (1.24%-3.5%) for every 1 ℃ increase for the high temperature. The effect of high temperature was greater than that of low temperature. In all cases, 1.60% (0.44%-2.68%) of eczema outpatient visits were attributed to low temperature and the attributable number was 4 065 (1 128-6 798), while 6.33% (1.40%-10.87%) of eczema outpatient visits were due to high temperature and the attributable number was 16 082 (3 557-27 616). Conclusion: Both high temperature and low temperature are associated with increased risk of eczema.
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Affiliation(s)
- Y Y Liu
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - Z X Li
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - Z J Tan
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - W Fang
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - H M Tan
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - D Fu
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - Z G Huang
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - J W Liu
- Huizhou Dermatology Hospital, Huizhou 516008, China
| | - T Liu
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - G H He
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - S Zhu
- School of Medicine, Jinan University, Guangzhou 510632, China
| | - W J Ma
- School of Medicine, Jinan University, Guangzhou 510632, China
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Zhu S, Cheng Z, Wu Z, Wang J. P04.01.B High impact of ITGB1 on Pi3K/AKT expression in medulloblastoma. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.116] [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: 11/13/2022] Open
Abstract
Abstract
Medulloblastoma, an embryonal tumor of the cerebellum, is one of the most frequent malignant brain tumors. Despite the increasing use of genetic variation in treatment stratification, high-risk patients characterized by light meningeal spread, TP53 mutations, or MYC amplification still have poor survival. Phosphatidylinositol-3-kinase (PI3K)/AKT/mammalian target of rapamycin (mTOR) signaling is one of the most important intracellular pathways, which can be considered as a master regulator for cancer. In tissue samples obtained from medulloblastoma patients, the significant upregulation of PI3K/AKT was associated with a lifting expression level of integrin β1(ITGB1). To understand the underlying mechanism, we investigated the effect of ITGB1 on the PI3K/AKT pathway in medulloblastoma cell lines. Transfection of this ITGB1 reduced proliferation and invasion of several medulloblastoma cell lines and inhibit epithelial-mesenchymal transition. In addition, knocking down ITGB1 expression can significantly inhibit the activation of PI3K/AKT signaling pathway. In conclusion, ITGB1 may selectively activation the pathophysiological effect of aberrant PI3K/AKT expression and serve as a targeted approach for medulloblastoma therapy.
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Affiliation(s)
- S Zhu
- State Key Laboratory of Oncology in South China, Collaborative Innovation , Guangzhou , China
| | - Z Cheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation , Guangzhou , China
| | - Z Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation , Guangzhou , China
| | - J Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation , Guangzhou , China
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Huang Y, Motta E, Nanvuma C, Yuan Y, Kuhrt L, Xia P, Lubas M, Zhu S, Schnauss M, Hu F, Zhang H, Lei T, Synowitz M, Flüh C, Kettenmann H. OS10.7.A Activation of the CCR8-ACP5 axis by human microglia/macrophage derived CCL18 promotes glioma growth. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.070] [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: 11/13/2022] Open
Abstract
Abstract
Background
Glioblastoma multiforme is a highly malignant primary brain tumor with an average survival of 14 months and very limited therapeutic options. Glioma associated microglia and macrophages (GAMs) foster tumor growth by releasing several cytokines, which have only partly been identified. Here, we studied the chemokine (C-C motif) ligand 18 (CCL18), a chemokine which is only expressed in human, but not rodent GAMs, in a novel ex-vivo brain slice model including transplantation of human induced pluripotent stem cells (iPSC) derived human microglia (iMGL) and human glioma cells in to murine brain slices, which had been depleted of intrinsic murine microglia before.
Material and Methods
After establishing the humanized ex-vivo brain slice model, we performed immunohistochemical analysis (IHC) of growth and invasiveness, qrtPCR on glioma cells isolated by magnetic-activated cell sorting (MACS), functional assays measuring invasiveness, proliferation, migration and colony formation of glioma cells in vitro and in slice experiments. Corresponding studies on tumor growth and invasiveness were performed after treatment with a CCL18 neutralizing antibody, a CCR8 neutralizing antibodies and knockdown of CCR8, ACP5 (Acid Phosphatase 5) and PITPNM3 with small interfering RNA (siRNA) and short hairpin RNA (shRNA). QrtPCR, IHC and Westernblot analysis were performed on primary glioma specimens. We also conducted bioinformatic analyses, based on the TCGA GBM, GLIOVIS and GEPIA databases.
Results
We observed that CCL18 was highly expressed in GAMs, whereas CCR8 was only expressed in glioma cells. We identified the chemokine (C-C motif) receptor 8 (CCR8) as a functional receptor for CCL18 and ACP5 as an important down-stream signaling component in glioma cells. Activation of the CCL18/CCR8/ACP5 signaling pathway in human glioblastoma was associated with enhanced tumor growth and invasiveness.
Conclusion
GAMs derived CCL18 promoted glioma growth by activation of the CCR8/ACP5 axis in human glioma cells and therefore is a potential therapeutic target.
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Affiliation(s)
- Y Huang
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology , Wuhan , China
| | - E Motta
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - C Nanvuma
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - Y Yuan
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - L Kuhrt
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - P Xia
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - M Lubas
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - S Zhu
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - M Schnauss
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
| | - F Hu
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology , Wuhan , China
| | - H Zhang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology , Wuhan , China
| | - T Lei
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology , Wuhan , China
| | - M Synowitz
- University Hospital of Schleswig-Holstein, Campus Kiel , Kiel , Germany
| | - C Flüh
- University Hospital of Schleswig-Holstein, Campus Kiel , Kiel , Germany
| | - H Kettenmann
- Cellular Neuroscience, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association , Berlin , Germany
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences , Shenzhen , China
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Ling J, Tang H, Meng H, Wu L, Zhu L, Zhu S. Two-year outcomes of Roux-en-Y gastric bypass vs medical treatment in type 2 diabetes with a body mass index lower than 32.5 kg/m 2: a multicenter propensity score-matched analysis. J Endocrinol Invest 2022; 45:1729-1740. [PMID: 35596918 DOI: 10.1007/s40618-022-01811-9] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 04/25/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Roux-en-Y gastric bypass (RYGB) has been widely reported to be safe and feasible, and has a powerful effect on improving metabolism and weight loss in patients with a high body mass index (BMI). A few studies have focused on the comparison of RYGB with medical treatment in type 2 diabetes (T2D) patients with a lower BMI. OBJECTIVES To compare the metabolic effects and safety of RYGB versus medical treatment during a 2 years follow-up in T2D patients with a BMI of 25 to 32.5 kg/m2. METHODS This retrospective and multicenter cohort study participants were extracted from the T2D patients with a lower BMI (25-32.5 kg/m2) from three bariatric centers between 2009 and 2018. Propensity score matching (PSM) was used to minimize bias, and each patient in the surgical group was matched 1:2 to the patients in the medical group with the closest propensity score. Finally, 71 patients who received RYGB and 142 patients who underwent medical treatment with a 2 years follow-up were enrolled to compare the effects of RYGB and medical treatment. The primary endpoint was achievement of the triple endpoint (the simultaneous achievement of hemoglobin A1c (HbA1c) < 7.0%, fasting low-density lipoprotein cholesterol (LDL-C) < 100 mg/dL (2.6 mmol/L), and systolic blood pressure (SBP) < 130 mmHg at the year-1 visit). Changes in weight, BMI, medication usage, complications, and adverse events were assessed. RESULTS In total, 213 patients (mean age of 47.4 ± 9.5 years, 70.4% male, mean BMI of 28.6 ± 2.2 kg/m2) were included in this study. At the end of the first year, 17 patients (23.9%) in the surgical group and 10 (7.0%) in the medical group had achieved the composite triple endpoint (OR 4.64; 95% CI 1.82-11.81; p = 0.001). Additionally, 43 patients (60.6%) in the surgical group and 11 patients (19.7%) in the medical group experienced remission of T2D. However, more complications were observed in the surgical group (36 vs. 22, p < 0.01). CONCLUSIONS Among T2D patients with a BMI between 25.0 and 32.5 kg/m2, RYGB was more effective than medical treatment in resolving metabolic disorders and also resulted in more complications. The risk for complications should be considered in the clinical decision-making process for T2D patients with a low BMI.
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Affiliation(s)
- J Ling
- Department of Metabolic and Bariatric Surgery, The Third Xiangya Hospital of Central South University, 138 Tongzipo Rd, Yuelu District, Changsha, 410013, China
| | - H Tang
- Department of Metabolic and Bariatric Surgery, The Third Xiangya Hospital of Central South University, 138 Tongzipo Rd, Yuelu District, Changsha, 410013, China
| | - H Meng
- Department of General Surgery, The China-Japan Friendship Hospital, Beijing, China
| | - L Wu
- Department of Metabolic Surgery, The Jinshazhou Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - L Zhu
- Department of Metabolic and Bariatric Surgery, The Third Xiangya Hospital of Central South University, 138 Tongzipo Rd, Yuelu District, Changsha, 410013, China.
| | - S Zhu
- Department of Metabolic and Bariatric Surgery, The Third Xiangya Hospital of Central South University, 138 Tongzipo Rd, Yuelu District, Changsha, 410013, China.
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Zhu S, Ni Y, Sun G, Zeng H. 86P Plasma exosomal AKR1C3 mRNA expression is a predictive and prognostic biomarker in metastatic castration-resistant prostate cancer patients. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.118] [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] Open
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Wang Y, Liu Y, Zhu S, Bi X. 170P Phase II study of camrelizumab plus chemotherapy as neoadjuvant therapy in patients with early triple-negative breast cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.205] [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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40
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Zhu S, Wei D, Zhang D, Jia F, Liu B, Zhang J. [Prolonged epidural labor analgesia increases risks of epidural analgesia failure for conversion to cesarean section]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1244-1249. [PMID: 36073225 DOI: 10.12122/j.issn.1673-4254.2022.08.18] [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: 11/24/2022]
Abstract
OBJECTIVE To explore the effect of epidural labor analgesia duration on the outcomes of different anesthetic approaches for conversion to cesarean section. METHODS We retrospectively collected the clinical data of pregnant women undergoing conversion from epidural labor analgesia to cesarean section at Sichuan Maternal and Child Health Hospital and Jinjiang District Maternal and Child Health Care Hospital between July, 2019 and June, 2020. For cesarean section, the women received epidural anesthesia when the epidural catheter was maintained in correct position with effective analgesia, spinal anesthesia at the discretion of the anesthesiologists, or general anesthesia in cases requiring immediate cesarean section or following failure of epidural anesthesia or spinal anesthesia. Receiver-operating characteristic curve analysis was performed to determine the cutoff value of the analgesia duration using Youden index. The women were divided into two groups according to the cut off value for analyzing the relative risk using cross tabulations. RESULTS A total of 820 pregnant women undergoing conversion to cesarean section were enrolled in this analysis, including 615 (75.0%) in epidural anesthesia group, 186 (22.7%) in spinal anesthesia group, and 19 (2.3%) in general anesthesia group; none of the women experienced failure of epidural or spinal anesthesia. The mean anesthesia duration was 8.2±4.7 h in epidural anesthesia, 10.6±5.1 h in spinal anesthesia group, and 6.7 ± 5.2 h in general anesthesia group. Multivariate logistic regression analysis showed that prolongation of analgesia duration by 1 h (OR=1.094, 95% CI: 1.057-1.132, P < 0.001) and an increase of cervical orifice by 1 cm (OR=1.066, 95% CI: 1.011-1.124, P=0.017) were independent risk factors for epidural analgesia failure. The cutoff value of analgesia duration was 9.5 h, and beyond that duration the relative risk of receiving spinal anesthesia was 1.204 (95% CI: 1.103-2.341, P < 0.001). CONCLUSION Prolonged epidural labor analgesia increases the risk of failure of epidural analgesia for conversion to epidural anesthesia. In cases with an analgesia duration over 9.5 h, spinal anesthesia is recommended if immediate cesarean section is not required.
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Affiliation(s)
- S Zhu
- Department of Anesthesiology, Sichuan Provincial Maternity and Child Health Care Hospital/Women and Children's Hospital Affiliated to Chengdu Medical College, Chengdu 610041, China
| | - D Wei
- Chengdu Medical College, Chengdu 610500, China
| | - D Zhang
- Department of Women Health Care, Sichuan Provincial Maternity and Child Health Care Hospital/Women and Children's Hospital Affiliated to Chengdu Medical College, Chengdu 610041, China
| | - F Jia
- Department of Anesthesiology, Jinjiang Maternity and Child Health Care Hospital, Chengdu 610011, China
| | - B Liu
- Department of Anesthesiology, Jinjiang Maternity and Child Health Care Hospital, Chengdu 610011, China
| | - J Zhang
- Department of Anesthesiology, Sichuan Provincial Maternity and Child Health Care Hospital/Women and Children's Hospital Affiliated to Chengdu Medical College, Chengdu 610041, China
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Cardenas LM, Olde L, Loick N, Griffith B, Hill T, Evans J, Cowan N, Segura C, Sint H, Harris P, McCalmont J, Zhu S, Dobermann A, Lee MRF. CO 2 fluxes from three different temperate grazed pastures using Eddy covariance measurements. Sci Total Environ 2022; 831:154819. [PMID: 35346701 DOI: 10.1016/j.scitotenv.2022.154819] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/01/2022] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
Grasslands cover around 25% of the global ice-free land surface, they are used predominantly for forage and livestock production and are considered to contribute significantly to soil carbon (C) sequestration. Recent investigations into using 'nature-based solutions' to limit warming to <2 °C suggest up to 25% of GHG mitigation might be achieved through changes to grassland management. In this study we evaluate pasture management interventions at the Rothamsted Research North Wyke Farm Platform, under commercial farming conditions, over two years and consider their impacts on net CO2 exchange. We investigate if our permanent pasture system (PP) is, in the short-term, a net sink for CO2 and whether reseeding this with deep-rooting, high-sugar grass (HS) or a mix of high-sugar grass and clover (HSC) might increase the net removal of atmospheric CO2. In general CO2 fluxes were less variable in 2018 than in 2017 while overall we found that net CO2 fluxes for the PP treatment changed from a sink in 2017 (-5.40 t CO2 ha-1 y-1) to a source in 2018 (6.17 t CO2 ha-1 y-1), resulting in an overall small source of 0.76 t CO2 ha-1 over the two years for this treatment. HS showed a similar trend, changing from a net sink in 2017 (-4.82 t CO2 ha-1 y-1) to a net source in 2018 (3.91 t CO2 ha-1 y-1) whilst the HSC field was a net source in both years (3.92 and 4.10 t CO2 ha-1 y-1, respectively). These results suggested that pasture type has an influence in the atmospheric CO2 balance and our regression modelling supported this conclusion, with pasture type and time of the year (and their interaction) being significant factors in predicting fluxes.
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Affiliation(s)
- L M Cardenas
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK
| | - L Olde
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK.
| | - N Loick
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK
| | - B Griffith
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK
| | - T Hill
- University of Exeter, Exeter EX4 4QE, UK
| | - J Evans
- Rothamsted Research, Computational and Analytical Sciences, Harpenden, Hertfordshire AL5 2JQ, UK
| | - N Cowan
- UK Centre of Ecology and Hydrology, Bush Estate, Midlothian EH26 0QB, UK
| | - C Segura
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK
| | - H Sint
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK
| | - P Harris
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK
| | | | - S Zhu
- University of Exeter, Exeter EX4 4QE, UK
| | - A Dobermann
- International Fertilizer Association, Paris, France
| | - M R F Lee
- Rothamsted Research, Sustainable Agriculture Sciences, North Wyke, Devon EX20 2SB, UK; Harper Adams University, Edgmond, Shropshire, TF10 8NB, UK
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Liu Z, Wang T, Yang X, Zhou Q, Zhu S, Zeng J, Chen H, Sun J, Li L, Xu J, Geng C, Xu X, Wang J, Yang H, Zhu S, Chen F, Wang WJ. Polyadenylation ligation-mediated sequencing (PALM-Seq) characterizes cell-free coding and non-coding RNAs in human biofluids. Clin Transl Med 2022; 12:e987. [PMID: 35858042 PMCID: PMC9299576 DOI: 10.1002/ctm2.987] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 03/18/2022] [Revised: 06/16/2022] [Accepted: 07/03/2022] [Indexed: 11/16/2022] Open
Abstract
Background Cell‐free messenger RNA (cf‐mRNA) and long non‐coding RNA (cf‐lncRNA) are becoming increasingly important in liquid biopsy by providing biomarkers for disease prediction, diagnosis and prognosis, but the simultaneous characterization of coding and non‐coding RNAs in human biofluids remains challenging. Methods Here, we developed polyadenylation ligation‐mediated sequencing (PALM‐Seq), an RNA sequencing strategy employing treatment of RNA with T4 polynucleotide kinase to generate cell‐free RNA (cfRNA) fragments with 5′ phosphate and 3′ hydroxyl and RNase H to deplete abundant RNAs, achieving simultaneous quantification and characterization of cfRNAs. Results Using PALM‐Seq, we successfully identified well‐known differentially abundant mRNA, lncRNA and microRNA in the blood plasma of pregnant women. We further characterized cfRNAs in blood plasma, saliva, urine, seminal plasma and amniotic fluid and found that the detected numbers of different RNA biotypes varied with body fluids. The profiles of cf‐mRNA reflected the function of originated tissues, and immune cells significantly contributed RNA to blood plasma and saliva. Short fragments (<50 nt) of mRNA and lncRNA were major in biofluids, whereas seminal plasma and amniotic fluid tended to retain long RNA. Body fluids showed distinct preferences of pyrimidine at the 3′ end and adenine at the 5′ end of cf‐mRNA and cf‐lncRNA, which were correlated with the proportions of short fragments. Conclusion Together, PALM‐Seq enables a simultaneous characterization of cf‐mRNA and cf‐lncRNA, contributing to elucidating the biology and promoting the application of cfRNAs.
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Affiliation(s)
| | | | - Xi Yang
- BGI-Shenzhen, Shenzhen, China
| | | | - Sujun Zhu
- Obstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, China
| | - Juan Zeng
- Obstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, China
| | | | - Jinghua Sun
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | | | | | | | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
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Zhu S, Verma A, Thornhil R, Hosseini-Nik H, Hadziomerovic A, Ryan S, Gupta A. Abstract No. 362 Texture analysis of arterial graft thrombus on CT angiography: correlation with age of thrombus and implication on catheter directed thrombolysis. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.443] [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] Open
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Yin R, Chen J, Li Q, Yan X, Wang J, Li K, Song L, Zhong L, Ma Y, Zhang M, Zeng J, Wang D, Zhu S. Characteristics of germline DNA damage response gene mutations in ovarian cancer in Southwest China. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e17606] [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: 11/20/2022] Open
Abstract
e17606 Background: DNA damage response (DDR) pathway is responsible for repairing endogenous or exogenous DNA damage to maintain the stability of the cell genome. Germline mutations of DDR genes are potentially predictive and prognostic biomarkers for oncotherapy and may predispose carries to some malignancies. We aimed to profile the characteristics of germline DDR gene mutations in ovarian cancer treated in our center to provide highlight on regional disparity and susceptibility genes. Methods: We retrospectively and unselectively enrolled a cohort of patients diagnosed as advanced epithelial ovarian cancer from October 2016 to October 2020, who had complete clinicopathological data and signed informed consent for gene testing. In total, peripheral blood samples from 432 patients were collected in our center and evaluated on specific germline alterations. This study was approved by the Medical Ethics Committee of West China Second University Hospital, Sichuan University (Ethical Lot Number 20200076). Results: The most observed mutated genes were FANCD2 (47%), BRCA1 (27%), BRCA2 (27%), ERCC5 (18%) and RECQL4 (17%). The frequency of missense mutation was higher than other mutation types in most genes, except FANCD2, TSC2 and PHOX2B. Deleterious DDR gene mutations and deleterious homologous recombination repair gene mutations were detected in 346 patients (80.1%) and 240 patients (55.6%), respectively. The most observed genes with deleterious mutation were BRCA1 (18.5%), BRCA2 (12.5%), ERCC5 (6%), MLH1 (5.8%), PALB2 (3.7%) and ERCC4 (3.7%). The prevalence of BRCA2 deleterious mutations is higher than other studies (patients mainly from Eastern China), and so are the mismatch repair genes. Furthermore, we pointed out that deleterious mutations of FNACD2 and RECQL4 are potential ovarian cancer susceptibility genes and may predispose carriers to ovarian cancer. Conclusions: Our study presented here showed the germline DDR gene mutation spectrum of ovarian cancer patients in Southwest China, which is different from other regions of China in some genes. And we found germline FANCD2 and RECQL4 deleterious mutations were likely ovarian cancer susceptibility sites, which should draw more attention in patient management and genetic counseling.
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Affiliation(s)
- Rutie Yin
- Department of Gynecology and Obstetrics, and Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of the Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jinghong Chen
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Qingli Li
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Xinyu Yan
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Jie Wang
- College of Life Sciences, University of Chinese Academy of Sciences; BGI genomics, BGI-Shenzhen, Shenzhen, China
| | - Kemin Li
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Liang Song
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Lan Zhong
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yu Ma
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Mengpei Zhang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Jing Zeng
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Danqing Wang
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Shida Zhu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
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Yang Y, Zhao S, Sun G, Chen F, Zhang T, Song J, Yang W, Wang L, Zhan N, Yang X, Zhu X, Rao B, Yin Z, Zhou J, Yan H, Huang Y, Ye J, Huang H, Cheng C, Zhu S, Guo J, Xu X, Chen X. Genomic architecture of fetal central nervous system anomalies using whole-genome sequencing. NPJ Genom Med 2022; 7:31. [PMID: 35562572 PMCID: PMC9106651 DOI: 10.1038/s41525-022-00301-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 04/06/2022] [Indexed: 11/09/2022] Open
Abstract
Structural anomalies of the central nervous system (CNS) are one of the most common fetal anomalies found during prenatal imaging. However, the genomic architecture of prenatal imaging phenotypes has not yet been systematically studied in a large cohort. Patients diagnosed with fetal CNS anomalies were identified from medical records and images. Fetal samples were subjected to low-pass and deep whole-genome sequencing (WGS) for aneuploid, copy number variation (CNV), single-nucleotide variant (SNV, including insertions/deletions (indels)), and small CNV identification. The clinical significance of variants was interpreted based on a candidate gene list constructed from ultrasound phenotypes. In total, 162 fetuses with 11 common CNS anomalies were enrolled in this study. Primary diagnosis was achieved in 62 cases, with an overall diagnostic rate of 38.3%. Causative variants included 18 aneuploids, 17 CNVs, three small CNVs, and 24 SNVs. Among the 24 SNVs, 15 were novel mutations not reported previously. Furthermore, 29 key genes of diagnostic variants and critical genes of pathogenic CNVs were identified, including five recurrent genes: i.e., TUBA1A, KAT6B, CC2D2A, PDHA1, and NF1. Diagnostic variants were present in 34 (70.8%) out of 48 fetuses with both CNS and non-CNS malformations, and in 28 (24.6%) out of 114 fetuses with CNS anomalies only. Hypoplasia of the cerebellum (including the cerebellar vermis) and holoprosencephaly had the highest primary diagnosis yields (>70%), while only four (11.8%) out of 34 neural tube defects achieved genetic diagnosis. Compared with the control group, rare singleton loss-of-function variants (SLoFVs) were significantly accumulated in the patient cohort.
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Affiliation(s)
- Ying Yang
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Sheng Zhao
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Guoqiang Sun
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Fang Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Jieping Song
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Wenzhong Yang
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Lin Wang
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Xiaohong Yang
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Xia Zhu
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Bin Rao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Jing Zhou
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | | | - Jingyu Ye
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Hui Huang
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Chen Cheng
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China
| | - Shida Zhu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jian Guo
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Xinlin Chen
- Maternal and Child Health Hospital of Hubei Province, Hubei, 430070, China.
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Zhu S, Yin J. T257 Blood coagulation testing and hematological features of thalassemia carriers in pregnant. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.745] [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: 11/30/2022]
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47
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Velten C, Brodin P, Gjini M, Zhu S, Hauze M, Kalnicki S, Guha C, Garg M, Kabarriti R. PD-0500 Outcomes and hemato-immunological toxicity in anal cancer patients with or without HIV infection. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02871-7] [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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Xiang L, Wang XY, Niu XX, Zhang L, Guo JZ, Zhu S, Zhang L. [A case of neonatal complete Kawasaki disease]. Zhonghua Er Ke Za Zhi 2022; 60:353-355. [PMID: 35385944 DOI: 10.3760/cma.j.cn112140-20211222-01065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- L Xiang
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an 710061, China
| | - X Y Wang
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an 710061, China
| | - X X Niu
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an 710061, China
| | - L Zhang
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an 710061, China
| | - J Z Guo
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an 710061, China
| | - S Zhu
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an 710061, China
| | - L Zhang
- Department of Neonatology, Northwest Women's and Children's Hospital, Xi'an 710061, China
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Zhang HY, Wang AQ, Zhu S, Yu L, Sun JF, Xu W, Wang XL. [Changes of coagulation function in patients with adenomyosis]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:179-189. [PMID: 35385955 DOI: 10.3760/cma.j.cn112141-20211229-00759] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the different coagulation state in patients with adenomyosis and its clinical significance. Methods: Clinical data of the patients admitted to the First Affiliated Hospital of Nanjing Medical University from January 2017 to December 2021 were retrospectively analyzed. (1) Differential coagulation state between 25 healthy women and 25 patients with adenomyosis were compared during menstrual and non-menstrual periods. (2) The coagulation indexes of 145 patients with adenomyosis (observation group 1) and 129 patients with cervical intraepithelial neoplasia grade Ⅲ (control group 1) who underwent hysterectomy in non-menstrual period were compared. (3) The coagulation indexes of 154 patients with adenomyosis (observation group 2) and 147 women without myometrial lesions (control group 2) who underwent endometrial curettage during uterine bleeding period were compared. (4) Correlations of coagulation index with cancer antigen 125 (CA125), cancer antigen 19-9 (CA19-9) and uterine volume in patients with adenomyosis were analyzed. Results: (1) The coagulation state of each health women during the menstrual and non-menstrual period showed no significant differences (all P>0.05). For the 25 patients with adenomyosis, fibrinogen [FIB; 2.61 g/L(2.50-3.10 g/L)] and D-dimer [0.60 mg/L (0.40-1.00 mg/L)] in the menstrual period were significantly higher than those in the non-menstrual period [2.25 g/L (1.90-2.70 g/L) and 0.27 mg/L (0.20-0.40 mg/L), respectively; both P<0.01], while thrombin time [TT; 16.70 s (16.10-17.40 s)] in the menstrual period was significantly lower than that in the non-menstrual period [17.95 s (17.20-18.40 s); P<0.01]. (2) In the non-bleeding period, D-dimer [0.26 mg/L (0.20-0.40 mg/L)] and platelet count [257.0×109/L (212.0×109/L-308.5×109/L)] of observation group 1 were significantly higher than those of control group 1 (all P<0.01). Besides, FIB (r=0.237, P=0.004) and D-dimer (r=0.373, P<0.001) were positively correlated with CA125, while prothrombin time (PT; r=-0.208, P=0.012) and internationalized normalized ratio of plasma prothrombin time (PT-INR; r=-0.201, P=0.015) were negatively correlated with CA19-9. (3) In the bleeding period, PT [10.70 s (10.10-11.20 s)] and PT-INR [0.93 (0.90-1.00)] of observation group 2 were significantly lower than those of control group 2 (all P<0.01), while D-dimer [0.41 mg/L (0.20-0.80 mg/L)] was significantly higher than that in the control group 2 (P<0.001). Furthermore, FIB (r=0.252, P=0.038) and D-dimer (r=0.321, P=0.008) were positively correlated with uterine volume, while activated partial thromboplastin time (APTT; r=-0.190, P=0.018) and TT (r=-0.304, P=0.012) were negatively correlated with uterine volume. (4) During non-menstrual period and uterine bleeding period, APTT and TT in patients of observation group 1 and 2 combined with anemia were significantly lower than those of non-anemia patients (all P<0.05). Conclusion: Patients with adenomyosis have a tendency to hypercoagulability in both the uterine bleeding and non-bleeding periods, which may be related to enlarged uterine volume, increased serum CA125 and anemia.
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Affiliation(s)
- H Y Zhang
- Department of Obstetrics and Gynecology, the First Clinical School of Medicine, Nanjing Medical University, Nanjing 210029, China
| | - A Q Wang
- Department of Obstetrics and Gynecology, the First Clinical School of Medicine, Nanjing Medical University, Nanjing 210029, China
| | - S Zhu
- Department of Gynecology, Jiangsu Province Hospital, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210036, China
| | - L Yu
- Department of Obstetrics and Gynecology, the First Clinical School of Medicine, Nanjing Medical University, Nanjing 210029, China
| | - J F Sun
- Department of Obstetrics and Gynecology, the First Clinical School of Medicine, Nanjing Medical University, Nanjing 210029, China
| | - W Xu
- Department of Gynecology, Jiangsu Province Hospital, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210036, China
| | - X L Wang
- Department of Gynecology, Jiangsu Province Hospital, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210036, China
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Luo QM, Zhu S, Peng L, Gao ZL. [Research advances in the treatment of liver failure with mesenchymal stem cell-derived exosomes]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:249-252. [PMID: 35462479 DOI: 10.3760/cma.j.cn51113-20220406-00171] [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
Liver failure is a serious clinical syndrome in which multiple pathogenic factors exceed the liver's self-repair capability, resulting massive hepatocellular necrosis, rapid disease progression and high mortality. Liver transplantation is the most effective method for the treatment of liver failure, but it has disadvantages, such as insufficient liver donor and high cost. The clinical efficacy of mesenchymal stem cells in liver failure have been validated, but its application has been limited to certain extent. Cell-free-based therapies, especially mesenchymal stem cell-derived exosomes, has become a research hotspot in recent years. This paper reviews the research advances in the treatment of liver failure with the use of mesenchymal stem cell-derived exosomes.
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Affiliation(s)
- Q M Luo
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - S Zhu
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - L Peng
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Z L Gao
- Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
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