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Li L, Wang X, Hu K, Liu X, Qiu L, Bai C, Cui Y, Wang B, Wang Z, Wang H, Cheng R, Hua J, Hai L, Wang M, Liu M, Song Z, Xiao C, Li B. ZNF133 is a potent suppressor in breast carcinogenesis through dampening L1CAM, a driver for tumor progression. Oncogene 2023:10.1038/s41388-023-02731-5. [PMID: 37221223 DOI: 10.1038/s41388-023-02731-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/04/2023] [Accepted: 05/12/2023] [Indexed: 05/25/2023]
Abstract
Due to the complexity and heterogeneity of breast cancer, the therapeutic effects of breast cancer treatment vary between subtypes. Breast cancer subtypes are classified based on the presence of molecular markers for estrogen or progesterone receptors and human epidermal growth factor 2. Thus, novel, comprehensive, and precise molecular indicators in breast carcinogenesis are urgently needed. Here, we report that ZNF133, a zinc-finger protein, is negatively associated with poor survival and advanced pathological staging of breast carcinomas. Moreover, ZNF133 is a transcription repressor physically associated with the KAP1 complex. It transcriptionally represses a cohort of genes, including L1CAM, that are critically involved in cell proliferation and motility. We also demonstrate that the ZNF133/KAP1 complex inhibits the proliferation and invasion of breast cancer cells in vitro and suppresses breast cancer growth and metastasis in vivo by dampening the transcription of L1CAM. Taken together, the findings of our study confirm the value of ZNF133 and L1CAM levels in the diagnosis and prognosis of breast cancer, contribute to a deeper understanding of the regulation mechanism of ZNF133 for the first time, and provide a new therapeutic strategy and precise intervention target for breast cancer.
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Affiliation(s)
- Lifang Li
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China.
| | - Xuefei Wang
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Kai Hu
- Department of Pathology, School of Medicine, Nankai University, Tianjin, 300071, PR China
| | - Xinhua Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, 311121, PR China
| | - Li Qiu
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Changsen Bai
- Department of Clinical Laboratory, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Yanfen Cui
- Public Laboratory, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Biyun Wang
- Laboratory Animal Center, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Zhaosong Wang
- Laboratory Animal Center, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Hailong Wang
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Runfen Cheng
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Jialei Hua
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Linyue Hai
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Mengdie Wang
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Miao Liu
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Zian Song
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China
| | - Chunhua Xiao
- First Surgical Department of Breast Cancer, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China.
| | - Binghui Li
- Department of Cancer Cell Biology, Tianjin's Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, PR China.
- Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, PR China.
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Pu D, Zhang Z, Feng B. Alterations and Potential Applications of Gut Microbiota in Biological Therapy for Inflammatory Bowel Diseases. Front Pharmacol 2022; 13:906419. [PMID: 35734396 PMCID: PMC9207480 DOI: 10.3389/fphar.2022.906419] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022] Open
Abstract
Inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis, is a chronic immune-mediated inflammatory disorder of the gastrointestinal tract that is closely associated with dysbiosis of the intestinal microbiota. Currently, biologic agents are the mainstream therapies for IBD. With the increasing incidence of IBD, limitations of biologic agents have gradually emerged during treatment. Recent studies have indicated that gut microbiota is highly correlated with the efficacy of biologic agents. This review focuses on alterations in both the components and metabolites of gut microbiota during biological therapy for IBD, systematically summarises the specific gut microbiota closely related to the clinical efficacy, and compares current predictive models for the efficacy of biologics, further highlighting the predictive value of intestinal microbiota. Based on the mechanistic analysis of faecal microbiota transplantation (FMT) and biologic agents, a new therapeutic strategy, comprising a combination of FMT and biologics, has been proposed as a promising treatment for IBD with improved efficacy.
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Affiliation(s)
| | - Zhe Zhang
- *Correspondence: Zhe Zhang, ; Baisui Feng,
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Ye XQ, Cai J, Yu Q, Cao XC, Chen Y, Rao MX, Chen BL, He Y, Zeng ZR, Chen H, Lin YM, Cao Q, Chen MH, Zhang SH. Nomogram to predict primary non-response to infliximab in patients with Crohn's disease: a multicenter study. Gastroenterol Rep (Oxf) 2021; 9:329-338. [PMID: 34567565 PMCID: PMC8460115 DOI: 10.1093/gastro/goaa069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 03/27/2020] [Accepted: 04/16/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Infliximab (IFX) is effective at inducing and maintaining clinical remission and mucosal healing in patients with Crohn's disease (CD); however, 9%-40% of patients do not respond to primary IFX treatment. This study aimed to construct and validate nomograms to predict IFX response in CD patients. METHODS A total of 343 patients diagnosed with CD who had received IFX induction from four tertiary centers between September 2008 and September 2019 were enrolled in this study and randomly classified into a training cohort (n = 240) and a validation cohort (n = 103). The primary outcome was primary non-response (PNR) and the secondary outcome was mucosal healing (MH). Nomograms were constructed from the training cohort using multivariate logistic regression. Performance of nomograms was evaluated by area under the receiver-operating characteristic curve (AUC) and calibration curve. The clinical usefulness of nomograms was evaluated by decision-curve analysis. RESULTS The nomogram for PNR was developed based on four independent predictors: age, C-reactive protein (CRP) at week 2, body mass index, and non-stricturing, non-penetrating behavior (B1). AUC was 0.77 in the training cohort and 0.76 in the validation cohort. The nomogram for MH included four independent factors: baseline Crohn's Disease Endoscopic Index of Severity, CRP at week 2, B1, and disease duration. AUC was 0.79 and 0.72 in the training and validation cohorts, respectively. The two nomograms showed good calibration in both cohorts and were superior to single factors and an existing matrix model. The decision curve indicated the clinical usefulness of the PNR nomogram. CONCLUSIONS We established and validated nomograms for the prediction of PNR to IFX and MH in CD patients. This graphical tool is easy to use and will assist physicians in therapeutic decision-making.
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Affiliation(s)
- Xiao-Qi Ye
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Jing Cai
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
- Department of Gastroenterology, Wenzhou Central Hospital, Wenzhou, Zhejiang, P. R. China
| | - Qiao Yu
- Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
| | - Xiao-Cang Cao
- Department of Gastroenterology, Tianjin Medical University General Hospital, Tianjin, P. R. China
| | - Yan Chen
- Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
| | - Mei-Xin Rao
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Bai-Li Chen
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Yao He
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Zhi-Rong Zeng
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Hao Chen
- Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
| | - Yi-Mou Lin
- Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
| | - Qian Cao
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
| | - Min-Hu Chen
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Sheng-Hong Zhang
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
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Lian X, Li Y, Li L, U K, Wang W, Shi Y, Ma J, Wang H. A novel single-tube multiplex real-time PCR assay for genotyping of thiopurine intolerance-causing variant NUDT15 c.415C>T. Exp Biol Med (Maywood) 2021; 246:1961-1967. [PMID: 34192970 DOI: 10.1177/15353702211026579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Thiopurines are commonly used in the treatment of acute lymphoblastic leukaemia and autoimmune conditions, can be limited by myelosuppression. The NUDT15 c.415C>T variant is strongly associated with thiopurine-induced myelosuppression, especially in Asians. The purpose of this study was to develop a fast and reliable genotyping method for NUDT15 c.415C>T and investigate the polymorphic distribution among different races in China. A single-tube multiplex real-time PCR assay for NUDT15 c.415C>T genotyping was established using allele-specific TaqMan probes. In 229 samples, the genotyping results obtained through the established method were completely concordant with those obtained by Sanger sequencing. The distributions of NUDT15 c.415C>T among 173 Han Chinese, 48 Miaos, 40 Kazakhs, and 40 Kirghiz were different, with allelic frequencies of 0.06, 0.02, 0.07, and 0, respectively. This method will provide a powerful tool for the implementation of the genotyping-based personalized prescription of thiopurines in clinical settings.
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Affiliation(s)
- Xiaoyun Lian
- Department of Hematology, Shaanxi Provincial Peoples' Hospital, Xi'an 710068, China
| | - Yanwei Li
- The National Engineering Research Center for Miniaturized Detection Systems, Northwest University, Xi'an 710069, China
| | - Lan Li
- Department of Hematology, Shaanxi Provincial Peoples' Hospital, Xi'an 710068, China
| | - Kaicheng U
- American Heritage School, Plantation, FL 33325, USA
| | - Wenxia Wang
- The National Engineering Research Center for Miniaturized Detection Systems, Northwest University, Xi'an 710069, China
| | - Yinmin Shi
- The National Engineering Research Center for Miniaturized Detection Systems, Northwest University, Xi'an 710069, China
| | - Jiying Ma
- The National Engineering Research Center for Miniaturized Detection Systems, Northwest University, Xi'an 710069, China
| | - Huijuan Wang
- The National Engineering Research Center for Miniaturized Detection Systems, Northwest University, Xi'an 710069, China
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Ventin-Holmberg R, Eberl A, Saqib S, Korpela K, Virtanen S, Sipponen T, Salonen A, Saavalainen P, Nissilä E. Bacterial and Fungal Profiles as Markers of Infliximab Drug Response in Inflammatory Bowel Disease. J Crohns Colitis 2021; 15:1019-1031. [PMID: 33300552 DOI: 10.1093/ecco-jcc/jjaa252] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Inflammatory bowel diseases [IBDs], Crohn's disease [CD] and ulcerative colitis [UC], are globally increasing chronic gastro-intestinal inflammatory disorders associated with altered gut microbiota. Infliximab [IFX], a tumour necrosis factor [TNF]-alpha blocker, is used to treat IBD patients successfully, though one-third of the patients do not respond to therapy. No reliable biomarkers are available for prediction of IFX response. Our aims were to investigate the faecal bacterial and fungal communities during IFX therapy and find predictors for IFX treatment response in IBD patients. METHODS A total of 72 IBD patients [25 CD and 47 UC] started IFX therapy and were followed for 1 year or until IFX treatment was discontinued. An amplicon sequencing approach, targeting the bacterial 16S rRNA gene and fungal ITS 1 region separately, was used to determine the microbiota profiles in faecal samples collected before IFX therapy and 2, 6, and 12 weeks and 1 year after initiation of therapy. The response to IFX was evaluated by colonoscopy and clinically at 12 weeks after initiation. RESULTS Both faecal bacterial and fungal profiles differed significantly between response groups before start of IFX treatment. Non-responders had lower abundances of short chain fatty acid producers, particularly of the class Clostridia, and higher abundances of pro-inflammatory bacteria and fungi, such as the genus Candida, compared with responders. This was further indicated by bacterial taxa predicting the response in both CD and UC patients [area under the curve >0.8]. CONCLUSIONS Faecal bacterial and fungal microbiota composition could provide a predictive tool to estimate IFX response in IBD patients.
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Affiliation(s)
| | - Anja Eberl
- Department of Gastroenterology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Schahzad Saqib
- Human Microbiome Research Program, University of Helsinki, Helsinki, Finland
| | - Katri Korpela
- Human Microbiome Research Program, University of Helsinki, Helsinki, Finland
| | - Seppo Virtanen
- Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Taina Sipponen
- Department of Gastroenterology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Anne Salonen
- Human Microbiome Research Program, University of Helsinki, Helsinki, Finland
| | - Päivi Saavalainen
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Eija Nissilä
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
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6
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Di Paolo A, Luci G. Personalized Medicine of Monoclonal Antibodies in Inflammatory Bowel Disease: Pharmacogenetics, Therapeutic Drug Monitoring, and Beyond. Front Pharmacol 2021; 11:610806. [PMID: 33628180 PMCID: PMC7898166 DOI: 10.3389/fphar.2020.610806] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 12/30/2020] [Indexed: 12/16/2022] Open
Abstract
The pharmacotherapy of inflammatory bowel diseases (Crohn’s disease and ulcerative colitis) has experienced significant progress with the advent of monoclonal antibodies (mABs). As therapeutic proteins, mABs display peculiar pharmacokinetic characteristics that differentiate them from chemical drugs, such as aminosalicylates, antimetabolites (i.e., azathioprine, 6-mercaptopurine, and methotrexate), and immunosuppressants (corticosteroids and cyclosporine). However, clinical trials have demonstrated that biologic agents may suffer from a pharmacokinetic variability that could influence the desired clinical outcome, beyond primary resistance phenomena. Therefore, therapeutic drug monitoring (TDM) protocols have been elaborated and applied to adaptation drug doses according to the desired plasma concentrations of mABs. This activity is aimed at maximizing the beneficial effects of mABs while sparing patients from toxicities. However, some aspects of TDM are still under discussion, including time-changing therapeutic ranges, proactive and reactive approaches, the performance and availability of instrumental platforms, the widely varying individual characteristics of patients, the severity of the disease, and the coadministration of immunomodulatory drugs. Facing these issues, personalized medicine in IBD may benefit from a combined approach, made by TDM protocols and pharmacogenetic analyses in a timeline that necessarily considers the frailty of patients, the chronic administration of drugs, and the possible worsening of the disease. Therefore, the present review presents and discusses the activities of TDM protocols using mABs in light of the most recent results, with special attention on the integration of other actions aimed at exploiting the most effective and safe therapeutic effects of drugs prescribed in IBD patients.
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Affiliation(s)
- Antonello Di Paolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,Unit of Clinical Pharmacology and Pharmacogenetics, Pisa University Hospital, Pisa, Italy
| | - Giacomo Luci
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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