1
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Wang Z, Zhang Q, Zhang C, Yan J, Yang T, Jiang A. CADM2 participates in endometriosis development by influencing the epithelial-mesenchymal transition. Reprod Sci 2024:10.1007/s43032-024-01592-x. [PMID: 38767769 DOI: 10.1007/s43032-024-01592-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 05/09/2024] [Indexed: 05/22/2024]
Abstract
Endometriosis (EM) is a common gynecologic condition that often leads to infertility in women of reproductive age. Cell adhesion molecule 2 (CADM2) is involved in maintaining cell adhesion and polarity, as well as suppressing tumors. However, the role and mechanism of CADM2 in endometriosis is unclear. Therefore, this study evaluated the expression levels of CADM2 and epithelial-mesenchymal transition (EMT)-related marker proteins (E-cadherin, α-SMA, and N-cadherin). Compared to normal endometrial tissue, CADM2 was expressed at low levels in ectopic endometrial tissue from patients with EM. We performed clone formation assays, wound healing assays, and Transwell cell invasion assays to investigate the effects of CADM2 on the biological behavior of endometriosis epithelial cells (11Z) and ectopic endometrial stromal cells (EESCs). The growth, migration, and invasion abilities of these cells were significantly inhibited by overexpression of CADM2. The results were reversed after the knockdown of CADM2. Finally, western blotting (WB) was utilized to detect the effect of CADM2 on EMT in endometriosis cells. CADM2 inhibited EMT in endometriosis cells. In conclusion, our study suggests that CADM2 is a negative regulator of endometriosis development and may inhibit endometriosis development by suppressing EMT.
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Affiliation(s)
- Zheng Wang
- Department of Reproductive Medicine, Affiliated Hospital of Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
- School of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
| | - Qiqi Zhang
- Department of Reproductive Medicine, Affiliated Hospital of Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
- School of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
| | - Chen Zhang
- School of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
- Gynaecology, Heze Municipal Hospital, Heze, Shandong Province, People's Republic of China
| | - Jun Yan
- Department of Reproductive Medicine, Affiliated Hospital of Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
- School of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
| | - Tingting Yang
- Department of Reproductive Medicine, Affiliated Hospital of Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China
| | - Aifang Jiang
- Department of Reproductive Medicine, Affiliated Hospital of Shandong Second Medical University, Weifang, Shandong Province, People's Republic of China.
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2
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Tong M, Luo S, Gu L, Wang X, Zhang Z, Liang C, Huang H, Lin Y, Huang J. SIMarker: Cellular similarity detection and its application to diagnosis and prognosis of liver cancer. Comput Biol Med 2024; 171:108113. [PMID: 38368754 DOI: 10.1016/j.compbiomed.2024.108113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/09/2024] [Accepted: 02/04/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND The emergence of single-cell technology offers a unique opportunity to explore cellular similarity and heterogeneity between precancerous diseases and solid tumors. However, there is lacking a systematic study for identifying and characterizing similarities at single-cell resolution. METHODS We developed SIMarker, a computational framework to detect cellular similarities between precancerous diseases and solid tumors based on gene expression at single-cell resolution. Taking hepatocellular carcinoma (HCC) as a case study, we quantified the cellular and molecular connections between HCC and cirrhosis. Core analysis modules of SIMarker is publicly available at https://github.com/xmuhuanglab/SIMarker ("SIM" means "similarity" and "Marker" means "biomarkers). RESULTS We found PGA5+ hepatocytes in HCC showed cirrhosis-like characteristics, including similar transcriptional programs and gene regulatory networks. Consequently, the genes constituting the gene expression program of these cirrhosis-like subpopulations were designated as cirrhosis-like signatures (CLS). Strikingly, our utilization of CLS enabled the development of diagnosis and prognosis biomarkers based on within-sample relative expression orderings of gene pairs. These biomarkers achieved high precision and concordance compared with previous studies. CONCLUSIONS Our work provides a systematic method to investigate the clinical translational significance of cellular similarities between HCC and cirrhosis, which opens avenues for identifying similar paradigms in other categories of cancers and diseases.
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Affiliation(s)
- Mengsha Tong
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China.
| | - Shijie Luo
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Lin Gu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xinkang Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Zheyang Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Chenyu Liang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Huaqiang Huang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yuxiang Lin
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Jialiang Huang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China.
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3
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Minutentag IW, Seneda AL, Barros-Filhos MC, de Carvalho M, Souza VGP, Hasimoto CN, Moraes MPT, Marchi FA, Lam WL, Reis PP, Drigo SA. Discovery of Novel miRNAs in Colorectal Cancer: Potential Biological Roles and Clinical Utility. Noncoding RNA 2023; 9:65. [PMID: 37987361 PMCID: PMC10660700 DOI: 10.3390/ncrna9060065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/27/2023] [Accepted: 10/11/2023] [Indexed: 11/22/2023] Open
Abstract
Deregulated miRNAs are associated with colorectal cancer (CRC), with alterations depending on the tumor location. Novel tissue-specific miRNAs have been identified in different tumors and are associated with cancer. We used miRMaster to identify novel miRNAs in CRC from the TCGA and GEO data (discovery and validation groups). We used TCGA data from five tissues to analyze miRNA tissue specificity. miRDB was used to predict miRNA targets, and the UCSC Xena Browser was used to evaluate target expression. After successive analyses, we identified 15 novel miRNAs with the same expression patterns in CRC in both the discovery and validation groups. Four molecules (nov-miR-13844-5p, nov-miR-7154-5p, nov-miR-5035-3p, and nov-miR-590-5p) were differentially expressed in proximal and distal CRC. The nov-miR-3345-5p and nov-miR-13172-3p, which are upregulated in tumors, are only expressed in colorectal tissues. These molecules have been linked to a worse prognosis in right-sided colon and rectal carcinomas. An analysis revealed an association between eight novel miRNAs and 81 targets, mostly cancer-related genes, with varying expression based on tumor location. These findings provide new miRNAs with potential biological relevance, molecular biomarkers, and therapeutic targets for CRC treatment.
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Affiliation(s)
- Iael Weissberg Minutentag
- Department of Surgery and Orthopedics, Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.L.S.); (C.N.H.)
- Experimental Research Unity (UNIPEX), São Paulo State University (UNESP), Botucatu 18618-687, Brazil;
| | - Ana Laura Seneda
- Department of Surgery and Orthopedics, Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.L.S.); (C.N.H.)
- Experimental Research Unity (UNIPEX), São Paulo State University (UNESP), Botucatu 18618-687, Brazil;
| | - Mateus C. Barros-Filhos
- Centro Internacional de Pesquisa (CIPE)—A. C. Camargo Cancer Center, São Paulo 01508-010, Brazil
| | - Márcio de Carvalho
- School of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Botucatu 18618-687, Brazil
| | - Vanessa G. P. Souza
- Experimental Research Unity (UNIPEX), São Paulo State University (UNESP), Botucatu 18618-687, Brazil;
- Department of Genetics, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-687, Brazil
| | - Claudia N. Hasimoto
- Department of Surgery and Orthopedics, Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.L.S.); (C.N.H.)
| | - Marcelo P. T. Moraes
- Department of Surgery and Orthopedics, Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.L.S.); (C.N.H.)
- Department of Pathology, Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil
| | - Fabio A. Marchi
- Department of Head and Neck Surgery, Medical School and São Paulo State Cancer Institute (ICESP), University of São Paulo (USP), São Paulo 01246-903, Brazil
| | - Wan L. Lam
- British Columbia Cancer Research Centre, Vancouver, BC V5Z 1L3, Canada
| | - Patricia P. Reis
- Department of Surgery and Orthopedics, Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.L.S.); (C.N.H.)
- Experimental Research Unity (UNIPEX), São Paulo State University (UNESP), Botucatu 18618-687, Brazil;
| | - Sandra A. Drigo
- Department of Surgery and Orthopedics, Medical School, São Paulo State University (UNESP), Botucatu 18618-687, Brazil; (A.L.S.); (C.N.H.)
- Experimental Research Unity (UNIPEX), São Paulo State University (UNESP), Botucatu 18618-687, Brazil;
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4
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Li Y, Xu B, Jin M, Zhang H, Ren N, Hu J, He J. Homophilic interaction of cell adhesion molecule 3 coordinates retina neuroepithelial cell proliferation. J Cell Biol 2023; 222:e202204098. [PMID: 37022761 PMCID: PMC10082328 DOI: 10.1083/jcb.202204098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 01/07/2023] [Accepted: 03/07/2023] [Indexed: 04/07/2023] Open
Abstract
Correct cell number generation is central to tissue development. However, in vivo roles of coordinated proliferation of individual neural progenitors in regulating cell numbers of developing neural tissues and the underlying molecular mechanism remain mostly elusive. Here, we showed that wild-type (WT) donor retinal progenitor cells (RPCs) generated significantly expanded clones in host retinae with G1-lengthening by p15 (cdkn2a/b) overexpression (p15+) in zebrafish. Further analysis showed that cell adhesion molecule 3 (cadm3) was reduced in p15+ host retinae, and overexpression of either full-length or ectodomains of Cadm3 in p15+ host retinae markedly suppressed the clonal expansion of WT donor RPCs. Notably, WT donor RPCs in retinae with cadm3 disruption recapitulated expanded clones that were found in p15+ retinae. More strikingly, overexpression of Cadm3 without extracellular ig1 domain in RPCs resulted in expanded clones and increased retinal total cell number. Thus, homophilic interaction of Cadm3 provides an intercellular mechanism underlying coordinated cell proliferation to ensure cell number homeostasis of the developing neuroepithelia.
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Affiliation(s)
- Yanan Li
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Baijie Xu
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Mengmeng Jin
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hui Zhang
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ningxin Ren
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Jinhui Hu
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Jie He
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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5
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Carreras-Torres R, Kim AE, Lin Y, Diez-Obrero V, Bien SA, Qu C, Wang J, Dimou N, Aglago EK, Albanes D, Arndt V, Baurley JW, Berndt SI, Bézieau S, Bishop DT, Bouras E, Brenner H, Budiarto A, Campbell PT, Casey G, Chan AT, Chang-Claude J, Chen X, Conti DV, Dampier CH, Devall MAM, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kawaguchi E, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, Cenggoro TW, Weinstein SJ, White E, Wolk A, Woods MO, Hsu L, Peters U, Moreno V, Gauderman WJ. Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response. Cancer Epidemiol Biomarkers Prev 2023; 32:315-328. [PMID: 36576985 PMCID: PMC9992283 DOI: 10.1158/1055-9965.epi-22-0763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/19/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer. METHODS A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia. RESULTS Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33). CONCLUSIONS Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response. IMPACT These findings can guide potential prevention treatments.
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Affiliation(s)
- Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, 17190, Girona, Spain
| | - Andre E Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Virginia Diez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Jun Wang
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Elom K Aglago
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - James W Baurley
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Arif Budiarto
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Christopher H Dampier
- Department of General Surgery, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Matthew AM Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - David A Drew
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kristina M Jordahl
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Eric Kawaguchi
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Anshul Kundaje
- Department of Genetics, Department of Computer Science, Stanford University, Stanford, California, USA
| | | | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Bharuno Mahesworo
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - John L Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura’a University, Saudi Arabia
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | | | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Anna Shcherbina
- Biomedical Informatics Program, Dept. of Biomedical Data Sciences, Stanford University
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Mariana C Stern
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- School of Public Health, Capital Medical University, Beijing, China
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Franzel JB van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, and Biomedical Center, Medical Faculty, Pilsen, Czech Republic
| | - Tjeng Wawan Cenggoro
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- School of Public Health, University of Washington, Seattle, Washington, USA
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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6
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Surfaceome Profiling of Cell Lines and Patient-Derived Xenografts Confirm FGFR4, NCAM1, CD276, and Highlight AGRL2, JAM3, and L1CAM as Surface Targets for Rhabdomyosarcoma. Int J Mol Sci 2023; 24:ijms24032601. [PMID: 36768928 PMCID: PMC9917031 DOI: 10.3390/ijms24032601] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/17/2023] [Accepted: 01/27/2023] [Indexed: 02/03/2023] Open
Abstract
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children. The prognosis for patients with high-grade and metastatic disease is still very poor, and survivors are burdened with long-lasting side effects. Therefore, more effective and less toxic therapies are needed. Surface proteins are ideal targets for antibody-based therapies, like bispecific antibodies, antibody-drug conjugates, or chimeric antigen receptor (CAR) T-cells. Specific surface targets for RMS are scarce. Here, we performed a surfaceome profiling based on differential centrifugation enrichment of surface/membrane proteins and detection by LC-MS on six fusion-positive (FP) RMS cell lines, five fusion-negative (FN) RMS cell lines, and three RMS patient-derived xenografts (PDXs). A total of 699 proteins were detected in the three RMS groups. Ranking based on expression levels and comparison to expression in normal MRC-5 fibroblasts and myoblasts, followed by statistical analysis, highlighted known RMS targets such as FGFR4, NCAM1, and CD276/B7-H3, and revealed AGRL2, JAM3, MEGF10, GPC4, CADM2, as potential targets for immunotherapies of RMS. L1CAM expression was investigated in RMS tissues, and strong L1CAM expression was observed in more than 80% of alveolar RMS tumors, making it a practicable target for antibody-based therapies of alveolar RMS.
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Gong T, Jaratlerdsiri W, Jiang J, Willet C, Chew T, Patrick SM, Lyons RJ, Haynes AM, Pasqualim G, Brum IS, Stricker PD, Mutambirwa SBA, Sadsad R, Papenfuss AT, Bornman RMS, Chan EKF, Hayes VM. Genome-wide interrogation of structural variation reveals novel African-specific prostate cancer oncogenic drivers. Genome Med 2022; 14:100. [PMID: 36045381 PMCID: PMC9434886 DOI: 10.1186/s13073-022-01096-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 07/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND African ancestry is a significant risk factor for advanced prostate cancer (PCa). Mortality rates in sub-Saharan Africa are 2.5-fold greater than global averages. However, the region has largely been excluded from the benefits of whole genome interrogation studies. Additionally, while structural variation (SV) is highly prevalent, PCa genomic studies are still biased towards small variant interrogation. METHODS Using whole genome sequencing and best practice workflows, we performed a comprehensive analysis of SVs for 180 (predominantly Gleason score ≥ 8) prostate tumours derived from 115 African, 61 European and four ancestrally admixed patients. We investigated the landscape and relationship of somatic SVs in driving ethnic disparity (African versus European), with a focus on African men from southern Africa. RESULTS Duplication events showed the greatest ethnic disparity, with a 1.6- (relative frequency) to 2.5-fold (count) increase in African-derived tumours. Furthermore, we found duplication events to be associated with CDK12 inactivation and MYC copy number gain, and deletion events associated with SPOP mutation. Overall, African-derived tumours were 2-fold more likely to present with a hyper-SV subtype. In addition to hyper-duplication and deletion subtypes, we describe a new hyper-translocation subtype. While we confirm a lower TMPRSS2-ERG fusion-positive rate in tumours from African cases (10% versus 33%), novel African-specific PCa ETS family member and TMPRSS2 fusion partners were identified, including LINC01525, FBXO7, GTF3C2, NTNG1 and YPEL5. Notably, we found 74 somatic SV hotspots impacting 18 new candidate driver genes, with CADM2, LSAMP, PTPRD, PDE4D and PACRG having therapeutic implications for African patients. CONCLUSIONS In this first African-inclusive SV study for high-risk PCa, we demonstrate the power of SV interrogation for the identification of novel subtypes, oncogenic drivers and therapeutic targets. Identifying a novel spectrum of SVs in tumours derived from African patients provides a mechanism that may contribute, at least in part, to the observed ethnic disparity in advanced PCa presentation in men of African ancestry.
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Affiliation(s)
- Tingting Gong
- grid.1013.30000 0004 1936 834XAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW Australia ,grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia ,grid.8547.e0000 0001 0125 2443Human Phenome Institute, Fudan University, Shanghai, China
| | - Weerachai Jaratlerdsiri
- grid.1013.30000 0004 1936 834XAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW Australia ,grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia
| | - Jue Jiang
- grid.1013.30000 0004 1936 834XAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW Australia ,grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia
| | - Cali Willet
- grid.1013.30000 0004 1936 834XSydney Informatics Hub, University of Sydney, Sydney, NSW Australia
| | - Tracy Chew
- grid.1013.30000 0004 1936 834XSydney Informatics Hub, University of Sydney, Sydney, NSW Australia
| | - Sean M. Patrick
- grid.49697.350000 0001 2107 2298School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Ruth J. Lyons
- grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia
| | - Anne-Maree Haynes
- grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia
| | - Gabriela Pasqualim
- grid.8532.c0000 0001 2200 7498Endocrine and Tumor Molecular Biology Laboratory, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil ,grid.411598.00000 0000 8540 6536Laboratory of Genetics, Instituto de Ciências Biológicas, Universidade Federal do Rio Grande, Rio Grande, Brazil
| | - Ilma Simoni Brum
- grid.8532.c0000 0001 2200 7498Endocrine and Tumor Molecular Biology Laboratory, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Phillip D. Stricker
- grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia ,grid.437825.f0000 0000 9119 2677Department of Urology, St. Vincent’s Hospital, Darlinghurst, NSW Australia
| | - Shingai B. A. Mutambirwa
- grid.461049.eDepartment of Urology, Sefako Makgatho Health Science University, Dr George Mukhari Academic Hospital, Medunsa, Ga-Rankuwa, South Africa
| | - Rosemarie Sadsad
- grid.1013.30000 0004 1936 834XSydney Informatics Hub, University of Sydney, Sydney, NSW Australia
| | - Anthony T. Papenfuss
- grid.1042.70000 0004 0432 4889Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria Australia ,grid.1008.90000 0001 2179 088XDepartment of Medical Biology, University of Melbourne, Melbourne, Victoria Australia
| | - Riana M. S. Bornman
- grid.49697.350000 0001 2107 2298School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - Eva K. F. Chan
- grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia ,grid.416088.30000 0001 0753 1056NSW Health Pathology, Sydney, Australia
| | - Vanessa M. Hayes
- grid.1013.30000 0004 1936 834XAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW Australia ,grid.415306.50000 0000 9983 6924Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW Australia ,grid.49697.350000 0001 2107 2298School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa ,grid.411732.20000 0001 2105 2799Faculty of Health Sciences, University of Limpopo, Turfloop Campus, Mankweng, South Africa
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A comprehensive analysis of avian lymphoid leukosis-like lymphoma transcriptomes including identification of LncRNAs and the expression profiles. PLoS One 2022; 17:e0272557. [PMID: 35939448 PMCID: PMC9359530 DOI: 10.1371/journal.pone.0272557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 07/21/2022] [Indexed: 11/22/2022] Open
Abstract
Avian lymphoid leukosis-like (LL-like) lymphoma has been observed in some experimental and commercial lines of chickens that are free of exogenous avian leukosis virus. Reported cases of avian lymphoid leukosis-like lymphoma incidences in the susceptible chickens are relatively low, but the apathogenic subgroup E avian leukosis virus (ALV-E) and the Marek’s disease vaccine, SB-1, significantly escalate the disease incidence in the susceptible chickens. However, the underlying mechanism of tumorigenesis is poorly understood. In this study, we bioinformatically analyzed the deep RNA sequences of 6 lymphoid leukosis-like lymphoma samples, collected from susceptible chickens post both ALV-E and SB-1 inoculation, and identified a total of 1,692 novel long non-coding RNAs (lncRNAs). Thirty-nine of those novel lncRNAs were detected with altered expression in the LL-like tumors. In addition, 13 lncRNAs whose neighboring genes also showed differentially expression and 2 conserved novel lncRNAs, XLOC_001407 and XLOC_022595, may have previously un-appreciated roles in tumor development in human. Furthermore, 14 lncRNAs, especially XLOC_004542, exhibited strong potential as competing endogenous RNAs via sponging miRNAs. The analysis also showed that ALV subgroup E viral gene Gag/Gag-pol and the MD vaccine SB-1 viral gene R-LORF1 and ORF413 were particularly detectable in the LL-like tumor samples. In addition, we discovered 982 novel lncRNAs that were absent in the current annotation of chicken genome and 39 of them were aberrantly expressed in the tumors. This is the first time that lncRNA signature is identified in avian lymphoid leukosis-like lymphoma and suggests the epigenetic factor, lncRNA, is involved with the avian lymphoid leukosis-like lymphoma formation and development in susceptible chickens. Further studies to elucidate the genetic and epigenetic mechanisms underlying the avian lymphoid leukosis-like lymphoma is indeed warranted.
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Wang Y, Zhao J, Wang Y, Gao J, Yang H, Li H. MiR-17-5p Targets and Downregulates CADM2, Activating the Malignant Phenotypes of Colon Cancer Cells. Mol Biotechnol 2022; 64:1388-1400. [PMID: 35696058 DOI: 10.1007/s12033-022-00515-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 05/16/2022] [Indexed: 10/18/2022]
Abstract
Accumulating studies have demonstrated that CADM2 modulated malignant phenotype of various cancer cells, while its regulatory function and mechanism have not yet been reported. In this study, qRT-PCR was utilized to measure CADM2 mRNA level in normal cells and colon cancer cells, also, IHC and WB were applied to detect CADM2 protein expression in colon tissues, exhibiting low mRNA and protein levels of CADM2 in colon cancer. Applying cell function experiments, the impacts of CADM2 on colon cell phenotypes were examined, and the results illustrated that upregulating CADM2 remarkably repressed proliferation, invasion, migration, cell cycle of colon cancer cells, and facilitated cell apoptosis. Thus, it could be considered that CADM2 served as a tumor repressor gene in colon cancer. Moreover, the outcomes of dual-luciferase assay displayed that miR-17-5p could target CADM2, and overexpressing miR-17-5p could notably inhibit the mRNA and protein expression levels of CADM2. We, therefore, assumed that CADM2 was a downstream target of miR-139-5p. qRT-PCR was conducted to assess miR-17-5p level in colon cancer cells and normal cells, verifying a high miR-17-5p expression in the cancer cells. The effects of miR-17-5p on colon cell phenotypes were examined as well, where we determined that miR-17-5p served as a tumor-promoting factor. Finally, the rescue experiments exhibited that miR-17-5p could activate tumor-promoting phenotypes, while such activating effects could be reversed by upregulating CADM2. In short, the study proved that miR-17-5p facilitated malignant progression of colon cancer through targeting CADM2 at a post-transcriptional level. Our findings offer new insight into molecular therapy of colon cancer patients.
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Affiliation(s)
- Yang Wang
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan Youyi Road and Changning Road interchange westbound 300 meters, Tangshan, 063000, China
| | - Jinlai Zhao
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan Youyi Road and Changning Road interchange westbound 300 meters, Tangshan, 063000, China
| | - Yigang Wang
- Department of Anus and Intestine Surgery, Tangshan Central Hospital, Tangshan Youyi Road and Changning Road interchange westbound 300 meters, Tangshan, 063000, China
| | - Jianchao Gao
- Department of Anus and Intestine Surgery, Tangshan Central Hospital, Tangshan Youyi Road and Changning Road interchange westbound 300 meters, Tangshan, 063000, China
| | - Haichao Yang
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan Youyi Road and Changning Road interchange westbound 300 meters, Tangshan, 063000, China
| | - Hua Li
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan Youyi Road and Changning Road interchange westbound 300 meters, Tangshan, 063000, China.
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10
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Wu HJ, Dai WW, Wang LB, Zhang J, Wang CL. Comprehensive analysis of the molecular mechanism for gastric cancer based on competitive endogenous RNA network. WORLD JOURNAL OF TRADITIONAL CHINESE MEDICINE 2022. [DOI: 10.4103/2311-8571.355010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Duraivelan K, Samanta D. Emerging roles of the nectin family of cell adhesion molecules in tumour-associated pathways. Biochim Biophys Acta Rev Cancer 2021; 1876:188589. [PMID: 34237351 DOI: 10.1016/j.bbcan.2021.188589] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/24/2021] [Accepted: 07/02/2021] [Indexed: 02/07/2023]
Abstract
Tumour cells achieve maximum survival by modifying cellular machineries associated with processes such as cell division, migration, survival, and apoptosis, resulting in genetically complex and heterogeneous populations. While nectin and nectin-like cell adhesion molecules control development and maintenance of multicellular organisation in higher vertebrates by mediating cell-cell adhesion and related signalling processes, recent studies indicate that they also critically regulate growth and development of different types of cancers. In this review, we detail current knowledge about the role of nectin family members in various tumours. Furthermore, we also analyse the seemingly opposing roles of some members of nectin family in tumour-associated pathways, as they function as both tumour suppressors and oncogenes. Understanding this functional duality of nectin family in tumours will further our knowledge of molecular mechanisms regulating tumour development and progression, and contribute to the advancement of tumour diagnosis and therapy.
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Affiliation(s)
- Kheerthana Duraivelan
- School of Bioscience, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
| | - Dibyendu Samanta
- School of Bioscience, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India.
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12
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Weighted Gene Coexpression Network Analysis to Construct Competitive Endogenous RNA Network in Chromogenic Renal Cell Carcinoma. BIOMED RESEARCH INTERNATIONAL 2021; 2021:5589101. [PMID: 34222474 PMCID: PMC8213485 DOI: 10.1155/2021/5589101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 05/24/2021] [Indexed: 12/02/2022]
Abstract
Aim This study is aimed at constructing the competing endogenous RNA (ceRNA) network in chromophobe renal cell carcinoma (ChRCC). Methods Clinical and RNA sequence profiles of patients with ChRCC, including messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs), were obtained from The Cancer Genome Atlas (TCGA) database. “edgeR” and “clusterProfiler” packages were utilized to obtain the expression matrices of differential RNAs (DERNAs) and to conduct gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Weighted gene coexpression network analysis (WGCNA) was performed to screen the highly related RNAs, and miRcode, StarBase, miRTarBase, miRDB, and TargetScan datasets were used to predict the connections between them. Univariate and multivariate Cox proportional hazards regressions were performed in turn to elucidate prognosis-related mRNAs in order to construct the ceRNA regulatory network. Results A total of 1628 DElncRNAs, 104 DEmiRNAs, and 2619 DEmRNAs were identified. WGCNA showed significant correlation in 1534 DElncRNAs, 98 DEmiRNAs, and 2543 DEmRNAs, which were related to ChRCC. Fourteen DEmiRNAs, 113 DElncRNAs, and 43 DEmRNAs were screened. Nine mRNAs (ALPL, ARHGAP29, CADM2, KIT, KLRD1, MYBL1, PSD3, SFRP1, and SLC7A11) significantly contributed to the overall survival (OS) of patients with ChRCC (P < 0.05). Furthermore, two mRNAs (CADM2 and SFRP1) appeared to be independent risk factors for ChRCC. Conclusion The findings revealed the molecular mechanism of ChRCC and potential therapeutic targets for the disease.
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13
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Lv Z, Sun L, Xu Q, Xing C, Yuan Y. Joint analysis of lncRNA m 6A methylome and lncRNA/mRNA expression profiles in gastric cancer. Cancer Cell Int 2020; 20:464. [PMID: 32982586 PMCID: PMC7517696 DOI: 10.1186/s12935-020-01554-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 09/11/2020] [Indexed: 02/07/2023] Open
Abstract
Background N 6-methyladenosine (m6A) modification might be closely associated with the genesis and development of gastric cancer (GC). Currently, the evidence established by high-throughput assay for GC-related m6A patterns based on long non-coding RNAs (lncRNAs) remains limited. Here, a joint analysis of lncRNA m6A methylome and lncRNA/mRNA expression profiles in GC was performed to explore the regulatory roles of m6A modification in lncRNAs. Methods Three subjects with primary GC were enrolled in our study and paired sample was randomly selected from GC tissue and adjacent normal tissue for each case. Methylated RNA Immunoprecipitation NextGeneration Sequencing (MeRIP-Seq) and Microarray Gene Expression Profiling was subsequently performed. Then co-expression analysis and gene enrichment analysis were successively conducted. Results After data analysis, we identified 191 differentially m6A-methylated lncRNAs, 240 differentially expressed lncRNAs and 229 differentially expressed mRNAs in GC. Furthermore, four differentially m6A-methylated and expressed lncRNAs (dme-lncRNAs) were discovered including RASAL2-AS1, LINC00910, SNHG7 and LINC01105. Their potential target genes were explored by co-expression analysis. And gene enrichment analysis suggested that they might influence the cellular processes and biological behaviors involved in mitosis and cell cycle. The potential impacts of these targets on GC cells were further validated by CCLE database and literature review. Conclusions Four novel dme-lncRNAs were identified in GC, which might exert regulatory roles on GC cell proliferation. The present study would provide clues for the lncRNA m6A methylation-based research on GC epigenetic etiology and pathogenesis.
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Affiliation(s)
- Zhi Lv
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, No. 155 NanjingBei Street, Heping District, Shenyang, 110001 Liaoning China.,Key Laboratory of Cancer Etiology and Prevention in Liaoning Education Department, The First Hospital of China Medical University, Shenyang, 110001 China.,Key Laboratory of GI Cancer Etiology and Prevention in Liaoning Province, the First Hospital of China Medical University, Shenyang, 110001 China
| | - Liping Sun
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, No. 155 NanjingBei Street, Heping District, Shenyang, 110001 Liaoning China.,Key Laboratory of Cancer Etiology and Prevention in Liaoning Education Department, The First Hospital of China Medical University, Shenyang, 110001 China.,Key Laboratory of GI Cancer Etiology and Prevention in Liaoning Province, the First Hospital of China Medical University, Shenyang, 110001 China
| | - Qian Xu
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, No. 155 NanjingBei Street, Heping District, Shenyang, 110001 Liaoning China.,Key Laboratory of Cancer Etiology and Prevention in Liaoning Education Department, The First Hospital of China Medical University, Shenyang, 110001 China.,Key Laboratory of GI Cancer Etiology and Prevention in Liaoning Province, the First Hospital of China Medical University, Shenyang, 110001 China
| | - Chengzhong Xing
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, No. 155 NanjingBei Street, Heping District, Shenyang, 110001 Liaoning China.,Key Laboratory of Cancer Etiology and Prevention in Liaoning Education Department, The First Hospital of China Medical University, Shenyang, 110001 China.,Key Laboratory of GI Cancer Etiology and Prevention in Liaoning Province, the First Hospital of China Medical University, Shenyang, 110001 China
| | - Yuan Yuan
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, No. 155 NanjingBei Street, Heping District, Shenyang, 110001 Liaoning China.,Key Laboratory of Cancer Etiology and Prevention in Liaoning Education Department, The First Hospital of China Medical University, Shenyang, 110001 China.,Key Laboratory of GI Cancer Etiology and Prevention in Liaoning Province, the First Hospital of China Medical University, Shenyang, 110001 China
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14
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Shen FF, Zhang F, Yang HJ, Li JK, Su JF, Yu PT, Zhou FY, Che GW. ADAMTS9-AS2 and CADM2 expression and association with the prognosis in esophageal squamous cell carcinoma. Biomark Med 2020; 14:1415-1426. [PMID: 32892630 DOI: 10.2217/bmm-2020-0432] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Background: We investigated whether ADAMTS9-AS2 and CADM2 were related to esophageal squamous cell carcinoma (ESCC). Methodology: ESCC microarray datasets and reverse transcriptase qualitative PCR were used to analyze ADAMTS9-AS2 and CADM2 expression. Results: The GSE120356 and GSE33810 datasets identified ADAMTS9-AS2 and CADM2 as the candidates and ADAMTS9-AS2 and CADM2 expression was downregulated in ESCC. ADAMTS9-AS2 and CADM2 were positively correlated with ESCC. ADAMTS9-AS2 and CADM2 expression could discriminate ESCC from normal tissue. Five-year overall survival was shorter in underexpressed ADAMTS9-AS2 patients, and CADM2 expression level was related to 5-year overall survival. ADAMTS9-AS2 and CADM2 expression were independent prognosis indicators in ESCC patients. Conclusion: Our findings shed new light on the clinical significance of ADAMTS9-AS2 and CADM2 in ESCC carcinogenesis.
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Affiliation(s)
- Fang-Fang Shen
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,The Key Laboratory for Tumor Translational Medicine, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Fan Zhang
- The Key Laboratory for Tumor Translational Medicine, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Hai-Jun Yang
- Anyang key Laboratory for Esophageal Cancer Research, Anyang Tumor Hospital, Anyang, Henan, China
| | - Jun-Kuo Li
- Anyang key Laboratory for Esophageal Cancer Research, Anyang Tumor Hospital, Anyang, Henan, China
| | - Jing-Fen Su
- Anyang key Laboratory for Esophageal Cancer Research, Anyang Tumor Hospital, Anyang, Henan, China
| | - Pan-Ting Yu
- The Key Laboratory for Tumor Translational Medicine, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Fu-You Zhou
- Anyang key Laboratory for Esophageal Cancer Research, Anyang Tumor Hospital, Anyang, Henan, China
| | - Guo-Wei Che
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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15
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Verschueren E, Husain B, Yuen K, Sun Y, Paduchuri S, Senbabaoglu Y, Lehoux I, Arena TA, Wilson B, Lianoglou S, Bakalarski C, Franke Y, Chan P, Wong AW, Gonzalez LC, Mariathasan S, Turley SJ, Lill JR, Martinez-Martin N. The Immunoglobulin Superfamily Receptome Defines Cancer-Relevant Networks Associated with Clinical Outcome. Cell 2020; 182:329-344.e19. [PMID: 32589946 DOI: 10.1016/j.cell.2020.06.007] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Revised: 04/06/2020] [Accepted: 06/02/2020] [Indexed: 01/31/2023]
Abstract
Cell surface receptors and their interactions play a central role in physiological and pathological signaling. Despite its clinical relevance, the immunoglobulin superfamily (IgSF) remains uncharacterized and underrepresented in databases. Here, we present a systematic extracellular protein map, the IgSF interactome. Using a high-throughput technology to interrogate most single transmembrane receptors for binding to 445 IgSF proteins, we identify over 500 interactions, 82% previously undocumented, and confirm more than 60 receptor-ligand pairs using orthogonal assays. Our study reveals a map of cell-type-specific interactions and the landscape of dysregulated receptor-ligand crosstalk in cancer, including selective loss of function for tumor-associated mutations. Furthermore, investigation of the IgSF interactome in a large cohort of cancer patients identifies interacting protein signatures associated with clinical outcome. The IgSF interactome represents an important resource to fuel biological discoveries and a framework for understanding the functional organization of the surfaceome during homeostasis and disease, ultimately informing therapeutic development.
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Affiliation(s)
| | - Bushra Husain
- Deparment of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA
| | - Kobe Yuen
- Oncology Biomarker Development, Genentech, South San Francisco, CA, USA
| | - Yi Sun
- University of Birmingham, Department Biochemistry, Birmingham, UK
| | | | | | - Isabelle Lehoux
- BioMolecular Resources Department, Genentech, South San Francisco, CA, USA
| | - Tia A Arena
- Research Materials group, Genentech, South San Francisco, CA, USA
| | - Blair Wilson
- Biochemistry and Molecular Pharmacology, Genentech, South San Francisco, CA, USA
| | | | - Corey Bakalarski
- Deparment of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA
| | - Yvonne Franke
- BioMolecular Resources Department, Genentech, South San Francisco, CA, USA
| | - Pamela Chan
- Biochemistry and Molecular Pharmacology, Genentech, South San Francisco, CA, USA
| | - Athena W Wong
- Research Materials group, Genentech, South San Francisco, CA, USA
| | | | | | - Shannon J Turley
- Cancer Immunology Department, Genentech, South San Francisco, CA, USA
| | - Jennie R Lill
- Deparment of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA
| | - Nadia Martinez-Martin
- Deparment of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA.
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Screening of a Novel Upregulated lncRNA, A2M-AS1, That Promotes Invasion and Migration and Signifies Poor Prognosis in Breast Cancer. BIOMED RESEARCH INTERNATIONAL 2020; 2020:9747826. [PMID: 32352014 PMCID: PMC7171613 DOI: 10.1155/2020/9747826] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 08/26/2019] [Accepted: 10/11/2019] [Indexed: 12/25/2022]
Abstract
Understanding of prognostic factors and therapeutic targets for breast cancer is imperative for guidance of patient care. We studied 1203 tumour samples from the Gene Expression Omnibus (GEO) to evaluate potential genes related to breast cancer. R software was used to analyse differentially expressed long noncoding RNAs (lncRNAs) in the RNA microarray expression profiles GSE45827 and GSE65216 and to identify a series of differentially expressed lncRNAs associated with human breast cancer. Of these lncRNAs, A2M-AS1, a lncRNA that has not been previously reported, was significantly upregulated in human breast cancer tissues compared with adjacent nontumour tissues. Importantly, A2M-AS1 upregulation was significantly associated with ER-negative, HER2-positive, and basal-like breast cancer and with poor recurrence-free survival and metastasis-free survival in breast cancer patients. After validating these results in 96 collected human breast cancer tissues and 64 paired adjacent noncancerous tissues, we further investigated the roles of A2M-AS1 in human ER-negative and basal-like breast cancer cells. The results revealed that A2M-AS1 significantly promotes human breast cancer cell proliferation, invasion, and migration. Additionally, bioinformatics analysis of genes coexpressed with A2M-AS1 in the context of human breast cancer combined with qRT-PCR and Western blot assays revealed that A2M-AS1 exerts regulatory effects on downstream factors in the cell adhesion molecule pathway, including CD2 and SELL. These results imply that A2M-AS1 might be a promising candidate prognostic factor and therapeutic target for breast cancer.
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Dai L, Zhao J, Yin J, Fu W, Chen G. Cell adhesion molecule 2 (CADM2) promotes brain metastasis by inducing epithelial-mesenchymal transition (EMT) in human non-small cell lung cancer. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:465. [PMID: 32395509 PMCID: PMC7210202 DOI: 10.21037/atm.2020.03.85] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background To investigate the effect of CADM2 on brain metastasis in non-small cell lung cancer (NSCLC). Methods Human transcriptome-wide microarray analysis was used to identify gene expression in lung tissue of NSCLC patients with or without brain metastasis, which indicated that CADM2 was significantly up-regulated. Quantitative real-time PCR (qRT-PCR) was used to confirm the CADM2 up-regulation further. SiRNA was used to knock down the expression of CADM2 in NSCLC cell lines and a Transwell assay was performed to determine the effects of CADM2 knockdown on cell migration and invasion. The expressions of Vimentin and E-cadherin were detected by western blot assay. Results The result of microarray analysis and qRT-PCR showed that CADM2 was significantly up-regulated in NSCLC patients with brain metastasis than in those without brain metastasis. The result of the Transwell assay showed that the migration and invasion abilities of NSCLC cells were inhibited after CADM2 knockdown. Also, the expression of Vimentin was reduced while E-cadherin was increased, followed by CADM2 knockdown. Conclusions The results showed that CADM2 might promote brain metastasis by inducing epithelial-mesenchymal transition (EMT) in human NSCLC. We propose that CADM2 can be used as a novel molecular target for the prevention and treatment in NSCLC with brain metastasis patients.
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Affiliation(s)
- Lu Dai
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China.,Department of Thoracic Surgery, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.,Department of Thoracic Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Jian Zhao
- Department of Thoracic Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Jun Yin
- Department of Thoracic Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Wenfan Fu
- Department of Thoracic Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Gang Chen
- The Second Clinical Medical College, Southern Medical University, Guangzhou 510515, China.,Department of Thoracic Surgery, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
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18
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Genetic variation in CADM2 as a link between psychological traits and obesity. Sci Rep 2019; 9:7339. [PMID: 31089183 PMCID: PMC6517397 DOI: 10.1038/s41598-019-43861-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 05/02/2019] [Indexed: 12/12/2022] Open
Abstract
CADM2 has been associated with a range of behavioural and metabolic traits, including physical activity, risk-taking, educational attainment, alcohol and cannabis use and obesity. Here, we set out to determine whether CADM2 contributes to mechanisms shared between mental and physical health disorders. We assessed genetic variants in the CADM2 locus for association with phenotypes in the UK Biobank, IMPROVE, PROCARDIS and SCARFSHEEP studies, before performing meta-analyses. A wide range of metabolic phenotypes were meta-analysed. Psychological phenotypes analysed in UK Biobank only were major depressive disorder, generalised anxiety disorder, bipolar disorder, neuroticism, mood instability and risk-taking behaviour. In UK Biobank, four, 88 and 172 genetic variants were significantly (p < 1 × 10−5) associated with neuroticism, mood instability and risk-taking respectively. In meta-analyses of 4 cohorts, we identified 362, 63 and 11 genetic variants significantly (p < 1 × 10−5) associated with BMI, SBP and CRP respectively. Genetic effects on BMI, CRP and risk-taking were all positively correlated, and were consistently inversely correlated with genetic effects on SBP, mood instability and neuroticism. Conditional analyses suggested an overlap in the signals for physical and psychological traits. Many significant variants had genotype-specific effects on CADM2 expression levels in adult brain and adipose tissues. CADM2 variants influence a wide range of both psychological and metabolic traits, suggesting common biological mechanisms across phenotypes via regulation of CADM2 expression levels in adipose tissue. Functional studies of CADM2 are required to fully understand mechanisms connecting mental and physical health conditions.
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Hartsough EJ, Weiss MB, Heilman SA, Purwin TJ, Kugel CH, Rosenbaum SR, Erkes DA, Tiago M, HooKim K, Chervoneva I, Aplin AE. CADM1 is a TWIST1-regulated suppressor of invasion and survival. Cell Death Dis 2019; 10:281. [PMID: 30911007 PMCID: PMC6433918 DOI: 10.1038/s41419-019-1515-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/05/2019] [Accepted: 03/07/2019] [Indexed: 12/11/2022]
Abstract
Metastatic cancer remains a clinical challenge; however, patients diagnosed prior to metastatic dissemination have a good prognosis. The transcription factor, TWIST1 has been implicated in enhancing the migration and invasion steps within the metastatic cascade, but the range of TWIST1-regulated targets is poorly described. In this study, we performed expression profiling to identify the TWIST1-regulated transcriptome of melanoma cells. Gene ontology pathway analysis revealed that TWIST1 and epithelial to mesenchymal transition (EMT) were inversely correlated with levels of cell adhesion molecule 1 (CADM1). Chromatin immunoprecipitation (ChIP) studies and promoter assays demonstrated that TWIST1 physically interacts with the CADM1 promoter, suggesting TWIST1 directly represses CADM1 levels. Increased expression of CADM1 resulted in significant inhibition of motility and invasiveness of melanoma cells. In addition, elevated CADM1 elicited caspase-independent cell death in non-adherent conditions. Expression array analysis suggests that CADM1 directed non-adherent cell death is associated with loss of mitochondrial membrane potential and subsequent failure of oxidative phosphorylation pathways. Importantly, tissue microarray analysis and clinical data from TCGA indicate that CADM1 expression is inversely associated with melanoma progression and positively correlated with better overall survival in patients. Together, these data suggest that CADM1 exerts tumor suppressive functions in melanoma by reducing invasive potential and may be considered a biomarker for favorable prognosis.
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Affiliation(s)
- Edward J Hartsough
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA.,Sidney Kimmel Cancer Center at Jefferson, Philadelphia, PA, 19107, USA.,Department of Pharmacology and Physiology at Drexel University College of Medicine, Philadelphia, PA, 19102, USA
| | - Michele B Weiss
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Shea A Heilman
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Timothy J Purwin
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Curtis H Kugel
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Sheera R Rosenbaum
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Dan A Erkes
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Manoela Tiago
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Kim HooKim
- Departments of Pathology, Anatomy, and Cell Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Inna Chervoneva
- Sidney Kimmel Cancer Center at Jefferson, Philadelphia, PA, 19107, USA.,Division of Biostatistics in Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - Andrew E Aplin
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, 19107, USA. .,Sidney Kimmel Cancer Center at Jefferson, Philadelphia, PA, 19107, USA.
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20
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Li X, Chen D, Li M, Gao X, Shi G, Zhao H. The CADM2/Akt pathway is involved in the inhibitory effect of miR-21-5p downregulation on proliferation and apoptosis in esophageal squamous cell carcinoma cells. Chem Biol Interact 2018; 288:76-82. [PMID: 29680210 DOI: 10.1016/j.cbi.2018.04.021] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/27/2018] [Accepted: 04/18/2018] [Indexed: 02/08/2023]
Abstract
Esophageal squamous cell carcinoma (ESCC), the main subtype of esophageal cancer, is the eighth most common cancer worldwide. Cell adhesion molecule 2 (CADM2) has been reported to be a tumor suppressor and is usually downregulated in several cancers. However, the role of CADM2 in ESCC remains unknown. The aim of the present study was to evaluate the potential role and underlying action mechanism of CADM2 in ESCC. Herein, we found that CADM2 was low-expressed in ESCC tissues and cell lines. CADM2 overexpression inhibited proliferation and induced apoptosis of ESCC cells. Moreover, CADM2 overexpression also suppressed the Akt signaling pathway in ESCC cells. MiR-21-5p down-regulation inhibited cell proliferation and induced cell apoptosis, while CADM2 knockdown attenuated the effect of anti-miR-21-5p. The expression of p-Akt was decreased in the cells transfected with anti-miR-21. However, the expression of p-Akt was increased in the cells co-transfected with anti-miR-21-5p and si-CADM2 compared with that in anti-miR-21-5p-transfecting cells. In summary, the CADM2/Akt pathway is involved in the inhibitory effect of miR-21-5p downregulation on proliferation and apoptosis in ESCC cells. These findings indicated that the miR-21-5p/CADM2/Akt axis might be a new approach for the treatment of ESCC.
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Affiliation(s)
- Xiaohui Li
- Department of Cardiothoracic Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, PR China
| | - Dong Chen
- Department of Cardiothoracic Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, PR China
| | - Mengfei Li
- Department of Cardiothoracic Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, PR China
| | - Xiang Gao
- Department of Cardiothoracic Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, PR China
| | - Gongning Shi
- Department of Cardiothoracic Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, PR China
| | - Hui Zhao
- Department of Cardiothoracic Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, PR China.
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21
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Li D, Zhang Y, Zhang H, Zhan C, Li X, Ba T, Qiu Z, E F, Lv G, Zou C, Wang C, Si L, Zou C, Li Q, Gao X. CADM2, as a new target of miR-10b, promotes tumor metastasis through FAK/AKT pathway in hepatocellular carcinoma. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2018; 37:46. [PMID: 29506532 PMCID: PMC5836378 DOI: 10.1186/s13046-018-0699-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2017] [Accepted: 02/07/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cell adhesion molecules (CADMs) comprise of a protein family whose functions include maintenance of cell polarity and tumor suppression. Hypo-expression of CADM2 gene expression has been observed in several cancers including hepatocellular carcinoma (HCC). However, the role and mechanisms of CADM2 in HCC remain unclear. METHODS The expression of CADM2 and miRNA-10b (miR-10b) in HCC tissues and cell lines were detected using real-time PCR and Western blotting. Immunofluorescence was used to detect Epithelial-mesenchymal transition (EMT) progression in HCC cell lines. Dual-luciferase reporter assay was used to determine miR-10b binding to CADM2 3'UTR. Wound healing assay and Transwell assay were performed to examine the migration and invasion of HCC cells. RESULTS We report the effect of CADM2 as a tumor suppressor in HCC. Firstly, we confirmed that CADM2 expression was significantly down regulated in HCC tissues compared to normal tissues according to TCGA data analysis and fresh HCC sample detection. Secondly, overexpression of CADM2 could inhibit EMT process, migratory and invasion ability of HCC cells. Furthermore, the results indicated that CADM2 is a direct target of miR-10b in HCC cells and miR-10b/CADM2 modulates EMT process and migration ability via focal adhesion kinase (FAK) /AKT signaling pathway in HCC. CONCLUSIONS Our study demonstrates that miR-10b-CADM2-FAK/AKT axis plays an important role in HCC metastasis, which might be a novel potential therapeutic option for HCC treatment.
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Affiliation(s)
- Dongliang Li
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Yongjian Zhang
- Department of Hepatobiliary and Pancreas, Heilongjiang Cancer Hospital, Harbin, China
| | - He Zhang
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Chao Zhan
- Department of Hepatobiliary and Pancreas, Heilongjiang Cancer Hospital, Harbin, China
| | - Xin Li
- Department of Respiratory Medical Oncology, Heilongjiang Cancer Hospital, Harbin, China
| | - Tu Ba
- Department of Neck and Breast Surgery, Mudanjiang Tumor Hospital, Mudanjiang, China
| | - Zini Qiu
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Fang E
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Guixiang Lv
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Chendan Zou
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Chuxuan Wang
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Lining Si
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China.,Department of Critical-care Medicine, the Affiliated Hospital of Qinghai University, Xining, Qinghai, China
| | - Chaoxia Zou
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China. .,Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medicine Sciences, Harbin, Heilongjiang, 150081, China.
| | - Qiang Li
- Department of General Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Xu Gao
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, Heilongjiang, 150081, China. .,Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medicine Sciences, Harbin, Heilongjiang, 150081, China. .,Key Laboratory of Cardiovascular Medicine Research of Harbin Medical University, Ministry of Education, Harbin, China.
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22
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miR-944 acts as a prognostic marker and promotes the tumor progression in endometrial cancer. Biomed Pharmacother 2017; 88:902-910. [DOI: 10.1016/j.biopha.2017.01.117] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 01/09/2017] [Accepted: 01/19/2017] [Indexed: 12/11/2022] Open
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23
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Sokol M, Jessen KM, Pedersen FS. Utility of next-generation RNA-sequencing in identifying chimeric transcription involving human endogenous retroviruses. APMIS 2016; 124:127-39. [PMID: 26818267 DOI: 10.1111/apm.12477] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Accepted: 10/12/2015] [Indexed: 12/13/2022]
Abstract
Several studies have shown that human endogenous retroviruses and endogenous retrovirus-like repeats (here collectively HERVs) impose direct regulation on human genes through enhancer and promoter motifs present in their long terminal repeats (LTRs). Although chimeric transcription in which novel gene isoforms containing retroviral and human sequence are transcribed from viral promoters are commonly associated with disease, regulation by HERVs is beneficial in other settings; for example, in human testis chimeric isoforms of TP63 induced by an ERV9 LTR protect the male germ line upon DNA damage by inducing apoptosis, whereas in the human globin locus the γ- and β-globin switch during normal hematopoiesis is mediated by complex interactions of an ERV9 LTR and surrounding human sequence. The advent of deep sequencing or next-generation sequencing (NGS) has revolutionized the way researchers solve important scientific questions and develop novel hypotheses in relation to human genome regulation. We recently applied next-generation paired-end RNA-sequencing (RNA-seq) together with chromatin immunoprecipitation with sequencing (ChIP-seq) to examine ERV9 chimeric transcription in human reference cell lines from Encyclopedia of DNA Elements (ENCODE). This led to the discovery of advanced regulation mechanisms by ERV9s and other HERVs across numerous human loci including transcription of large gene-unannotated genomic regions, as well as cooperative regulation by multiple HERVs and non-LTR repeats such as Alu elements. In this article, well-established examples of human gene regulation by HERVs are reviewed followed by a description of paired-end RNA-seq, and its application in identifying chimeric transcription genome-widely. Based on integrative analyses of RNA-seq and ChIP-seq, data we then present novel examples of regulation by ERV9s of tumor suppressor genes CADM2 and SEMA3A, as well as transcription of an unannotated region. Taken together, this article highlights the high suitability of contemporary sequencing methods in future analyses of human biology in relation to evolutionary acquired retroviruses in the human genome.
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Affiliation(s)
- Martin Sokol
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | | | - Finn Skou Pedersen
- Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
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24
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Ahmad S, Zhao W, Renström F, Rasheed A, Samuel M, Zaidi M, Shah N, Mallick NH, Zaman KS, Ishaq M, Rasheed SZ, Memon FUR, Hanif B, Lakhani MS, Ahmed F, Kazmi SU, Frossard P, Franks PW, Saleheen D. Physical activity, smoking, and genetic predisposition to obesity in people from Pakistan: the PROMIS study. BMC MEDICAL GENETICS 2015; 16:114. [PMID: 26683835 PMCID: PMC4683724 DOI: 10.1186/s12881-015-0259-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 12/05/2015] [Indexed: 12/31/2022]
Abstract
Background Multiple genetic variants have been reliably associated with obesity-related traits in Europeans, but little is known about their associations and interactions with lifestyle factors in South Asians. Methods In 16,157 Pakistani adults (8232 controls; 7925 diagnosed with myocardial infarction [MI]) enrolled in the PROMIS Study, we tested whether: a) BMI-associated loci, individually or in aggregate (as a genetic risk score - GRS), are associated with BMI; b) physical activity and smoking modify the association of these loci with BMI. Analyses were adjusted for age, age2, sex, MI (yes/no), and population substructure. Results Of 95 SNPs studied here, 73 showed directionally consistent effects on BMI as reported in Europeans. Each additional BMI-raising allele of the GRS was associated with 0.04 (SE = 0.01) kg/m2 higher BMI (P = 4.5 × 10−14). We observed nominal evidence of interactions of CLIP1 rs11583200 (Pinteraction = 0.014), CADM2 rs13078960 (Pinteraction = 0.037) and GALNT10 rs7715256 (Pinteraction = 0.048) with physical activity, and PTBP2 rs11165643 (Pinteraction = 0.045), HIP1 rs1167827 (Pinteraction = 0.015), C6orf106 rs205262 (Pinteraction = 0.032) and GRID1 rs7899106 (Pinteraction = 0.043) with smoking on BMI. Conclusions Most BMI-associated loci have directionally consistent effects on BMI in Pakistanis and Europeans. There were suggestive interactions of established BMI-related SNPs with smoking or physical activity. Electronic supplementary material The online version of this article (doi:10.1186/s12881-015-0259-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shafqat Ahmad
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden.
| | - Wei Zhao
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
| | - Frida Renström
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden.
| | - Asif Rasheed
- Center for Non-Communicable Diseases Pakistan, Karachi, Pakistan.
| | - Maria Samuel
- Center for Non-Communicable Diseases Pakistan, Karachi, Pakistan.
| | - Mozzam Zaidi
- Center for Non-Communicable Diseases Pakistan, Karachi, Pakistan.
| | - Nabi Shah
- Center for Non-Communicable Diseases Pakistan, Karachi, Pakistan. .,Department of Pharmacy, COMSATS Institute of Information Technology, Abbottabad, Pakistan.
| | | | - Khan Shah Zaman
- National Institute of Cardiovascular Diseases, Karachi, Pakistan.
| | | | | | | | | | | | - Faisal Ahmed
- Department of Cardiology, Liaquat National Hospital, Karachi, Pakistan.
| | | | - Philippe Frossard
- Center for Non-Communicable Diseases Pakistan, Karachi, Pakistan. .,Nazarbayev University, Astana, Kazakhstan.
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden. .,Department of Public Health and Clinical Medicine, Section for Medicine, Umeå University, Umeå, Sweden. .,Department of Nutrition, Harvard School of Public Health, Boston, MA, USA.
| | - Danish Saleheen
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. .,Center for Non-Communicable Diseases Pakistan, Karachi, Pakistan. .,Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA.
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Atrian F, Lelièvre SA. Mining the epigenetic landscape of tissue polarity in search of new targets for cancer therapy. Epigenomics 2015; 7:1313-25. [PMID: 26646365 DOI: 10.2217/epi.15.83] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The epigenetic nature of cancer encourages the development of inhibitors of epigenetic pathways. Yet, the clinical use for solid tumors of approved epigenetic drugs is meager. We argue that this situation might improve upon understanding the coinfluence between epigenetic pathways and tissue architecture. We present emerging information on the epigenetic control of the polarity axis, a central feature of epithelial architecture created by the orderly distribution of multiprotein complexes at cell-cell and cell-extracellular matrix contacts and altered upon cancer onset (with apical polarity loss), invasive progression (with basolateral polarity loss) and metastatic development (with basoapical polarity imbalance). This information combined with the impact of polarity-related proteins on epigenetic mechanisms of cancer enables us to envision how to guide the choice of drugs specific for distinct epigenetic modifiers, in order to halt cancer development and counter the consequences of polarity alterations.
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Affiliation(s)
- Farzaneh Atrian
- Department of Basic Medical Sciences and Center for Cancer Research, Purdue University, 625 Harrison Street, Lynn Hall, West Lafayette, IN 47906, USA
| | - Sophie A Lelièvre
- Department of Basic Medical Sciences and Center for Cancer Research, Purdue University, 625 Harrison Street, Lynn Hall, West Lafayette, IN 47906, USA
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26
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Shtivelman E, Beer TM, Evans CP. Molecular pathways and targets in prostate cancer. Oncotarget 2014; 5:7217-59. [PMID: 25277175 PMCID: PMC4202120 DOI: 10.18632/oncotarget.2406] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Accepted: 08/28/2014] [Indexed: 12/12/2022] Open
Abstract
Prostate cancer co-opts a unique set of cellular pathways in its initiation and progression. The heterogeneity of prostate cancers is evident at earlier stages, and has led to rigorous efforts to stratify the localized prostate cancers, so that progression to advanced stages could be predicted based upon salient features of the early disease. The deregulated androgen receptor signaling is undeniably most important in the progression of the majority of prostate tumors. It is perhaps because of the primacy of the androgen receptor governed transcriptional program in prostate epithelium cells that once this program is corrupted, the consequences of the ensuing changes in activity are pleotropic and could contribute to malignancy in multiple ways. Following localized surgical and radiation therapies, 20-40% of patients will relapse and progress, and will be treated with androgen deprivation therapies. The successful development of the new agents that inhibit androgen signaling has changed the progression free survival in hormone resistant disease, but this has not changed the almost ubiquitous development of truly resistant phenotypes in advanced prostate cancer. This review summarizes the current understanding of the molecular pathways involved in localized and metastatic prostate cancer, with an emphasis on the clinical implications of the new knowledge.
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Affiliation(s)
| | - Tomasz M. Beer
- Oregon Health & Science University, Knight Cancer Institute, Portland, OR
| | - Christopher P. Evans
- Department of Urology and Comprehensive Cancer Center, University of California Davis, Davis, CA
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27
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Yang AY, Lee JH, Shu L, Zhang C, Su ZY, Lu Y, Huang MT, Ramirez C, Pung D, Huang Y, Verzi M, Hart RP, Kong ANT. Genome-wide analysis of DNA methylation in UVB- and DMBA/TPA-induced mouse skin cancer models. Life Sci 2014; 113:45-54. [PMID: 25093921 DOI: 10.1016/j.lfs.2014.07.031] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Revised: 06/29/2014] [Accepted: 07/21/2014] [Indexed: 12/29/2022]
Abstract
AIMS Ultraviolet irradiation and carcinogens have been reported to induce epigenetic alterations, which potentially contribute to the development of skin cancer. We aimed to study the genome-wide DNA methylation profiles of skin cancers induced by ultraviolet B (UVB) irradiation and 7,12-dimethylbenz(a)anthracene (DMBA)/12-O-tetradecanoylphorbol-1,3-acetate (TPA). MAIN METHODS Methylated DNA immunoprecipitation (MeDIP) followed by next-generation sequencing was utilized to ascertain the DNA methylation profiles in the following common mouse skin cancer models: SKH-1 mice treated with UVB irradiation and CD-1 mice treated with DMBA/TPA. Ingenuity® Pathway Analysis (IPA) software was utilized to analyze the data and to identify gene interactions among the different pathways. KEY FINDINGS 6003 genes in the UVB group and 5424 genes in the DMBA/TPA group exhibited a greater than 2-fold change in CpG methylation as mapped by the IPA software. The top canonical pathways identified by IPA after the two treatments were ranked were pathways related to cancer development, cAMP-mediated signaling, G protein-coupled receptor signaling and PTEN signaling associated with UVB treatment, whereas protein kinase A signaling and xenobiotic metabolism signaling were associated with DMBA/TPA treatment. In addition, the mapped IL-6-related inflammatory pathways displayed alterations in the methylation profiles of inflammation-related genes linked to UVB treatment. SIGNIFICANCE Genes with altered methylation were ranked in the UVB and DMBA/TPA models, and the molecular interaction networks of those genes were identified by the IPA software. The genome-wide DNA methylation profiles of skin cancers induced by UV irradiation or by DMBA/TPA will be useful for future studies on epigenetic gene regulation in skin carcinogenesis.
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Affiliation(s)
- Anne Yuqing Yang
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Graduate Program in Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Jong Hun Lee
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Food Science and Biotechnology, CHA university, Kyunggi, Korea
| | - Limin Shu
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Chengyue Zhang
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Graduate Program in Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Zheng-Yuan Su
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Yaoping Lu
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Susan Lehman Cullman Laboratory for Cancer Research, Department of Chemical Biology, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Mou-Tuan Huang
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Susan Lehman Cullman Laboratory for Cancer Research, Department of Chemical Biology, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Christina Ramirez
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Graduate Program in Cellular and Molecular Pharmacology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Douglas Pung
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Ying Huang
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Graduate Program in Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA
| | - Michael Verzi
- Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Ronald P Hart
- Department of Cell Biology and Neuroscience, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Ah-Ng Tony Kong
- Center for Cancer Prevention Research, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Department of Pharmaceutics, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA; Susan Lehman Cullman Laboratory for Cancer Research, Department of Chemical Biology, Ernest Mario School of Pharmacy, Piscataway, NJ 08854, USA.
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Zhi H, Ning S, Li X, Li Y, Wu W, Li X. A novel reannotation strategy for dissecting DNA methylation patterns of human long intergenic non-coding RNAs in cancers. Nucleic Acids Res 2014; 42:8258-70. [PMID: 25013169 PMCID: PMC4117791 DOI: 10.1093/nar/gku575] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Despite growing consensus that long intergenic non-coding ribonucleic acids (lincRNAs) are modulators of cancer, the knowledge about the deoxyribonucleic acid (DNA) methylation patterns of lincRNAs in cancers remains limited. In this study, we constructed DNA methylation profiles for 4629 tumors and 705 normal tissue samples from 20 different types of human cancer by reannotating data of DNA methylation arrays. We found that lincRNAs had different promoter methylation patterns in cancers. We classified 2461 lincRNAs into two categories and three subcategories, according to their promoter methylation patterns in tumors. LincRNAs with resistant methylation patterns in tumors had conserved transcriptional regulation regions and were ubiquitously expressed across normal tissues. By integrating cancer subtype data and patient clinical information, we identified lincRNAs with promoter methylation patterns that were associated with cancer status, subtype or prognosis for several cancers. Network analysis of aberrantly methylated lincRNAs in cancers showed that lincRNAs with aberrant methylation patterns might be involved in cancer development and progression. The methylated and demethylated lincRNAs identified in this study provide novel insights for developing cancer biomarkers and potential therapeutic targets.
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Affiliation(s)
- Hui Zhi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Shangwei Ning
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Xiang Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Yuyun Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Wei Wu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Xia Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
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Generation of a monoclonal antibody specific to a new candidate tumor suppressor, cell adhesion molecule 2. Tumour Biol 2014; 35:7415-22. [DOI: 10.1007/s13277-014-1980-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Accepted: 04/15/2014] [Indexed: 10/25/2022] Open
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Yang S, Yan HL, Tao QF, Yuan SX, Tang GN, Yang Y, Wang LL, Zhang YL, Sun SH, Zhou WP. Low CADM2 expression predicts high recurrence risk of hepatocellular carcinoma patients after hepatectomy. J Cancer Res Clin Oncol 2013; 140:109-16. [PMID: 24240726 DOI: 10.1007/s00432-013-1536-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2013] [Accepted: 10/04/2013] [Indexed: 12/11/2022]
Abstract
PURPOSE To investigate the expression and clinical significance of CADM2 in hepatocellular carcinomas (HCC). METHODS The level of expression of CADM2 mRNA was assessed in frozen tumor specimens and adjacent noncancerous tissues from 30 HCC patients by real-time PCR. The protein level was determined by immunohistochemistry on a tissue microarray containing tumor and adjacent noncancerous tissues from 234 HCC patients. Clinicopathological characteristics associated analysis was performed through SPSS18 . RESULTS CADM2 was strikingly down regulated in HCC. CADM2 expression was associated with differentiation (P = 0.000), serum alpha-fetoprotein (P = 0.003), vascular invasion (P = 0.001), and hepatitis B surface antigen (HBsAg, P = 0.038). Furthermore, patients with low CADM2 expression had significantly poorer recurrence-free survival (RFS) (40.8 and 34.2 % vs. 56.3 and 50.1 % in 3- and 5-year RFS, respectively, P = 0.005). Subgroup analysis revealed that the difference in RFS between groups with low- and high-CADM2 expression still existed among patients belonging to stage 0 or A of BCLC staging system (P = 0.008), patients with tumor ≤5 cm in size (P = 0.013), and alpha-fetoprotein-negative patients (P = 0.003). Moreover, low expression was more frequently observed in the early recurrence group (within 2 years, P = 0.007). Further multivariate Cox regression analysis indicated that CADM2 expression level, tumor size, tumor number, vascular invasion, HBsAg were independent risk factors for HCC recurrence. CONCLUSION CADM2 serves as a novel predictor of RFS in HCC patients after curative resection.
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Affiliation(s)
- Sen Yang
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, 200438, China
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He W, Li X, Xu S, Ai J, Gong Y, Gregg JL, Guan R, Qiu W, Xin D, Gingrich JR, Guo Y, Chang G. Aberrant methylation and loss of CADM2 tumor suppressor expression is associated with human renal cell carcinoma tumor progression. Biochem Biophys Res Commun 2013; 435:526-32. [DOI: 10.1016/j.bbrc.2013.04.074] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2013] [Accepted: 04/17/2013] [Indexed: 10/26/2022]
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32
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Investigation of transferability of BovineSNP50 BeadChip from cattle to water buffalo for genome wide association study. Mol Biol Rep 2012; 40:743-50. [PMID: 23232712 DOI: 10.1007/s11033-012-1932-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2012] [Accepted: 10/01/2012] [Indexed: 10/27/2022]
Abstract
Cattle and water buffalo belong to the same subfamily Bovinae and share chromosome banding and gene order homology. In this study, we used genome-wide Illumina BovineSNP50 BeadChip to analyze 91 DNA samples from three breeds of water buffalo (Nili-Ravi, Murrah and their crossbred with local GuangXi buffalos in China), to demonstrate the genetic divergence between cattle and water buffalo through a large single nucleotide polymorphism (SNP) transferability study at the whole genome level, and performed association analysis of functional traits in water buffalo as well. A total of 40,766 (75.5 %) bovine SNPs were found in the water buffalo genome, but 49,936 (92.5 %) were with only one allele, and finally 935 were identified to be polymorphic and useful for association analysis in water buffalo. Therefore, the genome sequences of water buffalo and cattle shared a high level of homology but the polymorphic status of the bovine SNPs varied between these two species. The different patterns of mutations between species may associate with their phenotypic divergence due to genome evolution. Among 935 bovine SNPs, we identified a total of 9 and 7 SNPs significantly associated to fertility and milk production traits in water buffalo, respectively. However, more works in larger sample size are needed in future to verify these candidate SNPs for water buffalo.
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Lee C, Zhang Q, Zi X, Dash A, Soares MB, Rahmatpanah F, Jia Z, McClelland M, Mercola D. TGF-β mediated DNA methylation in prostate cancer. Transl Androl Urol 2012; 1:78-88. [PMID: 25133096 PMCID: PMC4131550 DOI: 10.3978/j.issn.2223-4683.2012.05.06] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2012] [Accepted: 05/04/2012] [Indexed: 12/15/2022] Open
Abstract
Almost all tumors harbor a defective negative feedback loop of signaling by transforming growth factor-β (TGF-β). Epigenetic mechanisms of gene regulation, including DNA methylation, are fundamental to normal cellular function and also play a major role in carcinogenesis. Recent evidence demonstrated that TGF-β signaling mediates cancer development and progression. Many key events in TGF-β signaling in cancer included auto-induction of TGF-β1 and increased expression of DNA methyltransferases (DNMTs), suggesting that DNA methylation plays a significant role in cancer development and progression. In this review, we performed an extensive survey of the literature linking TGF-β signaling to DNA methylation in prostate cancer. It appeared that almost all DNA methylated genes detected in prostate cancer are directly or indirectly related to TGF-β signaling. This knowledge has provided a basis for our future directions of prostate cancer research and strategies for prevention and therapy for prostate cancer.
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Abstract
Epigenetic alterations contribute significantly to the development and progression of prostate cancer, the most prevalent malignant tumor in males of Western industrialized countries. Here, we review recent research on DNA methylation alterations in this cancer type. Hypermethylation of several genes including GSTP1 is well known to occur in a consistent and apparently coordinate fashion during the transition from intraepithelial neoplasia to frank carcinoma. These hypermethylation events have shown promise as biomarkers for detection of prostate carcinoma. Many other individual genes have been shown to undergo hypermethylation, which is typically associated with diminished expression. These investigations indicate additional candidates for biomarkers; in particular, hypermethylation events associated with progression can be employed to identify more aggressive cases. In addition, some of genes silenced by aberrant methylation in prostate have been shown to exhibit properties of tumor suppressors, revealing insights into mechanisms of carcinogenesis. Whereas most studies in the past have used candidate gene approaches, new techniques allowing genome-wide screening for altered methylation are increasingly employed in prostate cancer research and have already yielded encouraging results.
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Affiliation(s)
- Wolfgang Goering
- Department of Urology, Heinrich Heine University, Duesseldorf, Germany
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