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Lucas SE, Yang T, Wimberly CE, Parmar KV, Hansen HM, de Smith AJ, Morimoto LM, Metayer C, Ostrom QT, Eward WC, Graves LA, Wagner LM, Wiemels JL, Spector LG, Walsh KM. Genetic variation near GRB10 associated with bone growth and osteosarcoma risk in canine and human populations. Cancer Epidemiol 2024:102599. [PMID: 38871555 DOI: 10.1016/j.canep.2024.102599] [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: 04/01/2024] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Canine and human osteosarcoma are similar in clinical presentation and tumor genomics. Giant breed dogs experience elevated osteosarcoma incidence, and taller stature remains a consistent risk factor for human osteosarcoma. Whether evolutionarily conserved genes contribute to both human and canine osteosarcoma predisposition merits evaluation. METHODS A multi-center sample of childhood osteosarcoma patients and controls underwent genome-wide genotyping and imputation. Ancestry-adjusted SNP associations were calculated within each dataset using logistic regression, then meta-analyzed across the three datasets, totaling 1091 patients and 3026 controls. Ten regions previously associated with canine osteosarcoma risk were mapped to the human genome, spanning ∼6 Mb. We prioritized association testing of 5985 human SNPs mapping to candidate osteosarcoma risk regions detected in Irish wolfhounds, the largest dog breed studied. Secondary analyses explored 6289 additional human SNPs mapping to candidate osteosarcoma risk regions identified in Rottweilers and greyhounds. RESULTS Fourteen SNPs were associated with human osteosarcoma risk after adjustment for multiple comparisons, all within a 42 kb region of human Chromosome 7p12.1. The lead variant was rs17454681 (OR=1.25, 95 %CI: 1.12-1.39; P=4.1×10-5), and independent risk variants were not observed in conditional analyses. While the associated region spanned 2.1 Mb and contained eight genes in Irish wolfhounds, associations were localized to a 50-fold smaller region of the human genome and strongly implicate GRB10 (growth factor receptor-bound protein 10) in canine and human osteosarcoma predisposition. PheWAS analysis in UK Biobank data identified noteworthy associations of the rs17454681 risk allele with varied measures of height and pubertal timing. CONCLUSIONS Our comparative oncology analysis identified a novel human osteosarcoma risk allele near GRB10, a growth inhibitor that suppresses activated receptor tyrosine kinases including IGF1R, PDGFRB, and EGFR. Epidemiologists may benefit from leveraging cross-species comparisons to identify haplotypes in highly susceptible but genetically homogenous populations of domesticated animals, then fine-mapping these associations in diverse human populations.
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Affiliation(s)
- Sydney E Lucas
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Tianzhong Yang
- Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA; Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Courtney E Wimberly
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Kajal V Parmar
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Helen M Hansen
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Adam J de Smith
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Libby M Morimoto
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Catherine Metayer
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Quinn T Ostrom
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - William C Eward
- Duke Cancer Institute, Duke University, Durham, NC, USA; Department of Orthopaedic Surgery, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Laurie A Graves
- Department of Pediatrics, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Lars M Wagner
- Duke Cancer Institute, Duke University, Durham, NC, USA; Department of Pediatrics, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Joseph L Wiemels
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Logan G Spector
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
| | - Kyle M Walsh
- Preston Robert Tisch Brain Tumor Center, Department of Neurosurgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA; Department of Pediatrics, Duke University, Durham, NC, USA; Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA.
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2
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Sun C, Li S, Ding J. Biomaterials-Boosted Immunotherapy for Osteosarcoma. Adv Healthc Mater 2024:e2400864. [PMID: 38771618 DOI: 10.1002/adhm.202400864] [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: 03/06/2024] [Revised: 05/05/2024] [Indexed: 05/22/2024]
Abstract
Osteosarcoma (OS) is a primary malignant bone tumor that emanates from mesenchymal cells, commonly found in the epiphyseal end of long bones. The highly recurrent and metastatic nature of OS poses significant challenges to the efficacy of treatment and negatively affects patient prognosis. Currently, available clinical treatment strategies primarily focus on maximizing tumor resection and reducing localized symptoms rather than the complete eradication of malignant tumor cells to achieve ideal outcomes. The biomaterials-boosted immunotherapy for OS is characterized by high effectiveness and a favorable safety profile. This therapeutic approach manipulates the tumor microenvironments at the cellular and molecular levels to impede tumor progression. This review delves into the mechanisms underlying the treatment of OS, emphasizing biomaterials-enhanced tumor immunity. Moreover, it summarizes the immune cell phenotype and tumor microenvironment regulation, along with the ability of immune checkpoint blockade to activate the autoimmune system. Gaining a profound comprehension of biomaterials-boosted OS immunotherapy is imperative to explore more efficacious immunotherapy protocols and treatment options in this setting.
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Affiliation(s)
- Chao Sun
- Department of Orthopedic Surgery, Orthopedic Center, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130061, P. R. China
- Key Laboratory of Polymer Ecomaterials, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, 5625 Renmin Street, Changchun, 130022, P. R. China
| | - Shuqiang Li
- Department of Orthopedic Surgery, Orthopedic Center, The First Hospital of Jilin University, 1 Xinmin Street, Changchun, 130061, P. R. China
| | - Jianxun Ding
- Key Laboratory of Polymer Ecomaterials, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, 5625 Renmin Street, Changchun, 130022, P. R. China
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3
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Xia K, Huang X, Zhao Y, Yang I, Guo W. SERPINH1 enhances the malignancy of osteosarcoma via PI3K-Akt signaling pathway. Transl Oncol 2024; 39:101802. [PMID: 37839175 PMCID: PMC10728702 DOI: 10.1016/j.tranon.2023.101802] [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: 07/07/2023] [Revised: 09/16/2023] [Accepted: 10/06/2023] [Indexed: 10/17/2023] Open
Abstract
BACKGROUND Serpin Family H Member 1 (SERPINH1) may be involved in the regulation of occurrence and development of tumors. However, the role and mechanism of SERPINH1 in osteosarcoma remain poorly understood. The aim of this study is to investigate the expression and role of SRPINH1 in osteosarcoma and to elucidate its underlying mechanisms. METHODS First, we examined the expression of SERPINH1 in osteosarcoma and analyzed publicly available datasets to investigate whether SERPINH1 expression was associated with the prognosis of osteosarcoma. Then we constructed SERPINH1 overexpression and knockdown systems in osteosarcoma cells, and examined the proliferation, migration and invasion ability of osteosarcoma cells after SERPINH1 expression changes using CCK-8 assay, wound healing assay and transwell invasion assay. In addition, we constructed a subcutaneous xenograft tumor model to study the function of SERPINH1 in vivo. We also examined the downstream pathways of SERPINH1 by functional analysis and performed subsequent validation. RESULTS SERPINH1 was upregulated and associated with poor survival in patients with osteosarcoma. SERPINH1 promoted the proliferation, migration and invasion of osteosarcoma cells and promotes the growth of osteosarcoma in vivo by activating the PI3K-Akt signaling pathway. CONCLUSION SERPINH1 partakes in the biological process of osteosarcoma as a tumor promotor and may be an emerging biomarker in osteosarcoma.
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Affiliation(s)
- Kezhou Xia
- Department of Orthopaedics, Renmin hospital of Wuhan University, 238 Jiefang Road, Wuhan 430060, China
| | - Xinghan Huang
- Department of Orthopaedics, Renmin hospital of Wuhan University, 238 Jiefang Road, Wuhan 430060, China
| | - Yingchun Zhao
- Department of Orthopaedics, Renmin hospital of Wuhan University, 238 Jiefang Road, Wuhan 430060, China
| | - Isabelle Yang
- Department of Orthopaedics, Renmin hospital of Wuhan University, 238 Jiefang Road, Wuhan 430060, China
| | - Weichun Guo
- Department of Orthopaedics, Renmin hospital of Wuhan University, 238 Jiefang Road, Wuhan 430060, China.
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Gianferante DM, Moore A, Spector LG, Wheeler W, Yang T, Hubbard A, Gorlick R, Patiño-Garcia A, Lecanda F, Flanagan AM, Amary F, Andrulis IL, Wunder JS, Thomas DM, Ballinger ML, Serra M, Hattinger C, Demerath E, Johnson W, Birmann BM, De Vivo I, Giles G, Teras LR, Arslan A, Vermeulen R, Sample J, Freedman ND, Huang WY, Chanock SJ, Savage SA, Berndt SI, Mirabello L. Genetically inferred birthweight, height, and puberty timing and risk of osteosarcoma. Cancer Epidemiol 2023:102432. [PMID: 37596165 PMCID: PMC10869637 DOI: 10.1016/j.canep.2023.102432] [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: 05/04/2023] [Accepted: 07/14/2023] [Indexed: 08/20/2023]
Abstract
INTRODUCTION Several studies have linked increased risk of osteosarcoma with tall stature, high birthweight, and early puberty, although evidence is inconsistent. We used genetic risk scores (GRS) based on established genetic loci for these traits and evaluated associations between genetically inferred birthweight, height, and puberty timing with osteosarcoma. METHODS Using genotype data from two genome-wide association studies, totaling 1039 cases and 2923 controls of European ancestry, association analyses were conducted using logistic regression for each study and meta-analyzed to estimate pooled odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses were conducted by case diagnosis age, metastasis status, tumor location, tumor histology, and presence of a known pathogenic variant in a cancer susceptibility gene. RESULTS Genetically inferred higher birthweight was associated with an increased risk of osteosarcoma (OR =1.59, 95% CI 1.07-2.38, P = 0.02). This association was strongest in cases without metastatic disease (OR =2.46, 95% CI 1.44-4.19, P = 9.5 ×10-04). Although there was no overall association between osteosarcoma and genetically inferred taller stature (OR=1.06, 95% CI 0.96-1.17, P = 0.28), the GRS for taller stature was associated with an increased risk of osteosarcoma in 154 cases with a known pathogenic cancer susceptibility gene variant (OR=1.29, 95% CI 1.03-1.63, P = 0.03). There were no significant associations between the GRS for puberty timing and osteosarcoma. CONCLUSION A genetic propensity to higher birthweight was associated with increased osteosarcoma risk, suggesting that shared genetic factors or biological pathways that affect birthweight may contribute to osteosarcoma pathogenesis.
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Affiliation(s)
| | - Amy Moore
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Logan G Spector
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Tianzhong Yang
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Aubrey Hubbard
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Richard Gorlick
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ana Patiño-Garcia
- Department of Pediatrics and Solid Tumor Division CIMA, IdiSNA, Clínica Universidad de Navarra, Pamplona, Spain
| | - Fernando Lecanda
- Center for Applied Medical Research (CIMA)-University of Navarra, IdiSNA, and CIBERONC, Pamplona, Spain
| | - Adrienne M Flanagan
- UCL Cancer Institute, Huntley Street, London WC1E 6BT, UK; Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | - Fernanda Amary
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | - Irene L Andrulis
- Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Jay S Wunder
- Litwin Centre for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Mandy L Ballinger
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Massimo Serra
- Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; IRCCS Istituto Ortopedico Rizzoli, Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy
| | - Claudia Hattinger
- Laboratory of Experimental Oncology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; IRCCS Istituto Ortopedico Rizzoli, Osteoncology, Bone and Soft Tissue Sarcomas and Innovative Therapies, Pharmacogenomics and Pharmacogenetics Research Unit, Bologna, Italy
| | - Ellen Demerath
- Division of Epidemiology and Clinical Research, School of Public Health, UMN, USA
| | - Will Johnson
- School of Sport, Exercise, and Health Sciences, University of Loughborough, UK
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Alan Arslan
- Department of Obstetrics and Gynecology, New York School of Medicine, New York, NY, USA; Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jeannette Sample
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD, USA.
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5
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Zheng L, Tsai B, Gao N. Structural and mechanistic insights into the DNA glycosylase AAG-mediated base excision in nucleosome. Cell Discov 2023; 9:62. [PMID: 37339965 DOI: 10.1038/s41421-023-00560-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 05/06/2023] [Indexed: 06/22/2023] Open
Abstract
The engagement of a DNA glycosylase with a damaged DNA base marks the initiation of base excision repair. Nucleosome-based packaging of eukaryotic genome obstructs DNA accessibility, and how DNA glycosylases locate the substrate site on nucleosomes is currently unclear. Here, we report cryo-electron microscopy structures of nucleosomes bearing a deoxyinosine (DI) in various geometric positions and structures of them in complex with the DNA glycosylase AAG. The apo nucleosome structures show that the presence of a DI alone perturbs nucleosomal DNA globally, leading to a general weakening of the interface between DNA and the histone core and greater flexibility for the exit/entry of the nucleosomal DNA. AAG makes use of this nucleosomal plasticity and imposes further local deformation of the DNA through formation of the stable enzyme-substrate complex. Mechanistically, local distortion augmentation, translation/rotational register shift and partial opening of the nucleosome are employed by AAG to cope with substrate sites in fully exposed, occluded and completely buried positions, respectively. Our findings reveal the molecular basis for the DI-induced modification on the structural dynamics of the nucleosome and elucidate how the DNA glycosylase AAG accesses damaged sites on the nucleosome with different solution accessibility.
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Affiliation(s)
- Lvqin Zheng
- State Key Laboratory of Membrane Biology, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Bin Tsai
- State Key Laboratory of Membrane Biology, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China
| | - Ning Gao
- State Key Laboratory of Membrane Biology, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China.
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Hamdan D, Marisa L, Tlemsani C, Angeli E, Soussan M, Derive N, Laurent-Puig P, Bousquet G. Olaparib in the Setting of Radiotherapy-Associated Sarcoma: What Can Precision Medicine Offer For Rare Cancers? JCO Precis Oncol 2023; 7:e2200582. [PMID: 36848605 DOI: 10.1200/po.22.00582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Affiliation(s)
- Diaddin Hamdan
- Université Paris Cité, INSERM, UMR_S942 MASCOT, Paris, France.,Medical Oncology Department, Hôpital La Porte Verte, Versailles, France
| | | | - Camille Tlemsani
- Multi-site Medical Biology Laboratory SeqOIA, Paris, France.,Medical Oncology Department, Hôpital Cochin, AP-HP, Paris, France.,Université Paris Cité, Paris, France
| | - Eurydice Angeli
- Université Paris Cité, INSERM, UMR_S942 MASCOT, Paris, France.,Université Sorbonne Paris Nord, Villetaneuse, France.,Medical Oncology Department, AP-HP-Hôpital Avicenne, Bobigny, France
| | - Michael Soussan
- Université Sorbonne Paris Nord, Villetaneuse, France.,Nuclear Medicine Departments, AP-HP-Hôpital Avicenne, Bobigny, France
| | - Nicolas Derive
- Multi-site Medical Biology Laboratory SeqOIA, Paris, France
| | - Pierre Laurent-Puig
- Multi-site Medical Biology Laboratory SeqOIA, Paris, France.,Institut of Cancer Paris CARPEM, AP-HP-Hôpital Européen Georges Pompidou, Paris, France.,Centre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris Cité, Paris, France
| | - Guilhem Bousquet
- Université Paris Cité, INSERM, UMR_S942 MASCOT, Paris, France.,Université Sorbonne Paris Nord, Villetaneuse, France.,Medical Oncology Department, AP-HP-Hôpital Avicenne, Bobigny, France
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Rashid MU, Muhammad N, Shehzad U, Khan FA, Loya A, Hamann U. Prevalence of FANCM germline variants in BRCA1/2 negative breast and/or ovarian cancer patients from Pakistan. Fam Cancer 2023; 22:31-41. [PMID: 35802266 DOI: 10.1007/s10689-022-00304-1] [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: 01/28/2022] [Accepted: 06/18/2022] [Indexed: 01/12/2023]
Abstract
The Fanconi anemia complementation group M (FANCM) gene is a potential candidate for breast/ovarian cancer susceptibility in European populations. Here, we examined the contribution of FANCM germline variants to hereditary breast and/or ovarian cancer in Pakistan. Comprehensive FANCM variant screening was performed in 201 BRCA1 and BRCA2 (BRCA1/2) negative Pakistani patients with and without triple-negative breast cancer (TNBC) and/or ovarian cancer, using denaturing high-performance liquid chromatography analysis (DHPLC) followed by DNA sequencing. Novel variants were tested for their potential effect on protein function using in silico tools. Reverse transcription (RT)-PCR analysis of RNA extracted from one deletion/insertion (delins) variant (p.K1780delinsNGIT) carrier and three non-carriers was performed to evaluate the impact of this variant on splicing. Furthermore, potentially functional variants were evaluated in 200 healthy female controls. A missense variant (p.V1857M) was identified in a 50-year-old TNBC patient with a family history of breast cancer. It was also identified in the index patient´s daughter, who was diagnosed with osteosarcoma at 15 years of age. Further, one delins variant (p.K1780delinsNGIT) was identified in a 45-year-old non-TNBC patient, but not detected in her brother, who was diagnosed with Hodgkin's lymphoma at 38 years of age. Based on in silico and RNA analyses, p.V1857M and p.K1780delinsNGIT were predicted as variants of uncertain significance (VUS), respectively. Both variants were absent in 200 healthy controls. Our findings suggest a marginal contribution of FANCM variants to hereditary breast/ovarian cancer in Pakistan, which need to be confirmed in larger studies.
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Affiliation(s)
- Muhammad Usman Rashid
- Basic Sciences Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC), 7A, Block R3, Johar Town, Lahore, 54000, Punjab, Pakistan.
| | - Noor Muhammad
- Basic Sciences Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC), 7A, Block R3, Johar Town, Lahore, 54000, Punjab, Pakistan
| | - Umara Shehzad
- Basic Sciences Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC), 7A, Block R3, Johar Town, Lahore, 54000, Punjab, Pakistan
| | - Faiz Ali Khan
- Basic Sciences Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC), 7A, Block R3, Johar Town, Lahore, 54000, Punjab, Pakistan
| | - Asif Loya
- Department of Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC), Lahore, Pakistan
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Li Y, Xie Y, Wang D, Xu H, Ye J, Yin JC, Chen J, Yan J, Ye B, Chen C. Whole exome sequencing identified a novel POT1 variant as a candidate pathogenic allele underlying a Li-Fraumeni-like family. Front Oncol 2022; 12:963364. [PMID: 36387164 PMCID: PMC9664187 DOI: 10.3389/fonc.2022.963364] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 10/17/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Li-Fraumeni syndrome (LFS) and Li-Fraumeni-like (LFL) syndrome are rare hereditary diseases characterized by predisposition to a diverse spectrum of cancer types, primarily sarcoma. The pathogenic variants underlying the majority of LFL cases remain to be explored. METHODS We performed whole-exome sequencing (WES) on 13 core members of a large LFL family with highly aggregated incidences of cancers, including cases with sarcoma, non-small cell lung cancer and cardiac angiosarcoma, and conducted a comprehensive literature review of candidate gene associations in LFS/LFL syndromes or sarcoma to identify potential pathogenic germline variants. RESULTS No germline variants in the best-known LFL/LFS-associated gene TP53 were detected. Of all the genes associated with LFS/LFL or sarcoma that we have surveyed, we identified a novel p.P35L germline variant in POT1 (protection of telomeres 1). Germline and somatic alterations in POT1 have been implicated in a series of familial cancers, including angiosarcoma, glioma, melanoma and colorectal cancer. This particular variant is located in the telomere-binding OB1 domain, which is important in maintaining the proper telomere length, and showed high conservation across different POT1 orthologues. No record of the variant was found in any of the 1000 genomes, ExAC, gnomAD, dpSNP and COSMIC databases. Prediction algorithms and in silico structural analysis suggested completely disrupted protein structure and function of POT1 in the presence of this mutation. CONCLUSIONS Leveraging WES, we identified a novel germline risk allele, p.P35L in POT1, that likely predisposes to LFL syndrome. Our results support the routine testing of POT1 and other LFL/LFS-associated genes in the risk populations to enable early cancer diagnosis, prevention and intervention.
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Affiliation(s)
- Yuping Li
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China,Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yupeng Xie
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Di Wang
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Hanyan Xu
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China,Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Junru Ye
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China,Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jiani C. Yin
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Junjie Chen
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China,Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Junrong Yan
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Bin Ye
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China
| | - Chengshui Chen
- Key Laboratory of Interventional Pulmonology of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China,Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China,*Correspondence: Chengshui Chen,
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Yuan D, Tian J, Fang X, Xiong Y, Banskota N, Kuang F, Zhang W, Duan H. Epidemiological Evidence for Associations Between Genetic Variants and Osteosarcoma Susceptibility: A Meta-Analysis. Front Oncol 2022; 12:912208. [PMID: 35860595 PMCID: PMC9291280 DOI: 10.3389/fonc.2022.912208] [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: 04/04/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022] Open
Abstract
Background Previous studies have showed that single nucleotide polymorphisms (SNPs) might be implicated in the pathogenesis of osteosarcoma (OS). Numerous studies involving SNPs with OS risk have been reported; these results, however, remain controversial and no comprehensive research synopsis has been performed till now. Objective This study seeks to clarify the relationships between SNPs and OS risk using a comprehensive meta-analysis, and assess epidemiological evidence of significant associations. Methods The PubMed, Web of Science, and Medline were used to screen for articles that evaluated the association between SNP and OS susceptibility in humans before 24 December 2021. Furthermore, we used Venice Criteria and a false positive report probability (FPRP) test to assess the grades of epidemiological evidence for the statistical relationships. Results We extracted useful data based on 43 articles, including 10,255 cases and 13,733 controls. Our results presented that 25 SNPs in 17 genes were significantly associated with OS risk. Finally, we graded strong evidence for 17 SNPs in 14 genes with OS risk (APE1 rs1760944, BCAS1 rs3787547, CTLA4 rs231775, ERCC3 rs4150506, HOTAIR rs7958904, IL6 rs1800795, IL8 rs4073, MTAP rs7023329 and rs7027989, PRKCG rs454006, RECQL5 rs820196, TP53 rs1042522, VEGF rs3025039, rs699947 and rs2010963, VMP1 rs1295925, XRCC3 rs861539), moderate for 14 SNPs in 12 genes and weak for 14 SNPs in 11 genes. Conclusion In summary, this study offered a comprehensive meta-analysis between SNPs and OS susceptibility, then evaluated the credibility of statistical relationships, and provided useful information to identify the appropriate candidate SNPs and design future studies to evaluate SNP factors for OS risk.
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Affiliation(s)
- Dechao Yuan
- Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China
| | - Jie Tian
- Department of Thoracic Surgery, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China
| | - Xiang Fang
- Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China
| | - Yan Xiong
- Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China
| | - Nishant Banskota
- Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China
| | - Fuguo Kuang
- Department of Orthopedics, People’s Fourth Hospital of Sichuan Province, Chengdu, China
| | - Wenli Zhang
- Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Hong Duan, ; Wenli Zhang,
| | - Hong Duan
- Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Hong Duan, ; Wenli Zhang,
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10
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Germline predisposition to pediatric Ewing sarcoma is characterized by inherited pathogenic variants in DNA damage repair genes. Am J Hum Genet 2022; 109:1026-1037. [PMID: 35512711 PMCID: PMC9247831 DOI: 10.1016/j.ajhg.2022.04.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/11/2022] [Indexed: 12/12/2022] Open
Abstract
More knowledge is needed regarding germline predisposition to Ewing sarcoma to inform biological investigation and clinical practice. Here, we evaluated the enrichment of pathogenic germline variants in Ewing sarcoma relative to other pediatric sarcoma subtypes, as well as patterns of inheritance of these variants. We carried out European-focused and pan-ancestry case-control analyses to screen for enrichment of pathogenic germline variants in 141 established cancer predisposition genes in 1,147 individuals with pediatric sarcoma diagnoses (226 Ewing sarcoma, 438 osteosarcoma, 180 rhabdomyosarcoma, and 303 other sarcoma) relative to identically processed cancer-free control individuals. Findings in Ewing sarcoma were validated with an additional cohort of 430 individuals, and a subset of 301 Ewing sarcoma parent-proband trios was analyzed for inheritance patterns of identified pathogenic variants. A distinct pattern of pathogenic germline variants was seen in Ewing sarcoma relative to other sarcoma subtypes. FANCC was the only gene with an enrichment signal for heterozygous pathogenic variants in the European Ewing sarcoma discovery cohort (three individuals, OR 12.6, 95% CI 3.0–43.2, p = 0.003, FDR = 0.40). This enrichment in FANCC heterozygous pathogenic variants was again observed in the European Ewing sarcoma validation cohort (three individuals, OR 7.0, 95% CI 1.7–23.6, p = 0.014), representing a broader importance of genes involved in DNA damage repair, which were also nominally enriched in individuals with Ewing sarcoma. Pathogenic variants in DNA damage repair genes were acquired through autosomal inheritance. Our study provides new insight into germline risk factors contributing to Ewing sarcoma pathogenesis.
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11
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Sadoughi F, Maleki Dana P, Asemi Z, Yousefi B. DNA damage response and repair in osteosarcoma: Defects, regulation and therapeutic implications. DNA Repair (Amst) 2021; 102:103105. [PMID: 33836418 DOI: 10.1016/j.dnarep.2021.103105] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 03/20/2021] [Indexed: 01/03/2023]
Abstract
Osteosarcoma (OS) is the most common primary bone malignancy in children and adolescents which has the survival rate of 20% in its advanced stages. Osteosarcomas are mostly resistance to our common treatments. DNA damage response (DDR) is a specialized multistep process containing abundant proteins which are necessary for the survival of any cell and organism. DDR machinery detects a diversity of DNA lesions and inhibits the cell cycle progression if these lesions are not repairable. DDR is involved in aging, age-related diseases, and cancer. In recent years, DDR inhibitors have gained the attention of researches due to their potentials in offering novel therapeutic targets and improving the response of many cancers to either chemo- or radio-therapy. In this regard, we tried to gather a great body of evidence about the role of DDR ingredients in osteosarcoma's initiation/progression, prognosis, and treatment.
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Affiliation(s)
- Fatemeh Sadoughi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran.
| | - Parisa Maleki Dana
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran.
| | - Zatollah Asemi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran.
| | - Bahman Yousefi
- Molecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Biochemistry, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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12
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Zheng Y, Chen Z, Zhou Z, Xu X, Yang H. Silencing of Long Non-Coding RNA LINC00607 Prevents Tumor Proliferation of Osteosarcoma by Acting as a Sponge of miR-607 to Downregulate E2F6. Front Oncol 2021; 10:584452. [PMID: 33585204 PMCID: PMC7877452 DOI: 10.3389/fonc.2020.584452] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/10/2020] [Indexed: 01/06/2023] Open
Abstract
Osteosarcoma (OS), a type of malignant bone tumor, is commonly found in children and adolescents. Although previous studies have identified that long non-coding RNAs (lncRNAs) regulate OS, it is unclear whether lncRNAs impact the progression of OS. Here, we identified LINC00607, a lncRNA that facilitates OS proliferation, migration, and invasion. Based on the RNA-sequencing results, LINC00607 expression was significantly upregulated in pulmonary metastasis within OS. Functional experiments revealed that LINC00607 promoted migration and invasion of endothelial cells to exacerbate epithelial-mesenchymal transition (EMT). Furthermore, the results of RNA pull-down assay and invasion assay suggested that the binding between LINC00607 and miR-607 promoted OS invasion. Bioinformatic analysis and rescue experiments demonstrated that E2F6, a transcriptional factor, functioned downstream of LINC00607/miR-607. Finally, we found that LINC00607 promoted OS progression in vivo. This work revealed that LINC00607 worked as an miR-607 sponge to upregulate E2F6 expression, which promoted tumor proliferation in OS. These results identified a novel therapeutic target for treating OS.
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Affiliation(s)
- Yuehuan Zheng
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Orthopedics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Orthopedics, Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhe Chen
- Department of Orthopedics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zezhu Zhou
- Department of Orthopedics, Shanghai Tenth People’s Hospital, Tongji University, Shanghai, China
| | - Xiangyang Xu
- Department of Orthopedics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Orthopedics, Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Huilin Yang
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
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13
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Mirabello L, Zhu B, Koster R, Karlins E, Dean M, Yeager M, Gianferante M, Spector LG, Morton LM, Karyadi D, Robison LL, Armstrong GT, Bhatia S, Song L, Pankratz N, Pinheiro M, Gastier-Foster JM, Gorlick R, de Toledo SRC, Petrilli AS, Patino-Garcia A, Lecanda F, Gutierrez-Jimeno M, Serra M, Hattinger C, Picci P, Scotlandi K, Flanagan AM, Tirabosco R, Amary MF, Kurucu N, Ilhan IE, Ballinger ML, Thomas DM, Barkauskas DA, Mejia-Baltodano G, Valverde P, Hicks BD, Zhu B, Wang M, Hutchinson AA, Tucker M, Sampson J, Landi MT, Freedman ND, Gapstur S, Carter B, Hoover RN, Chanock SJ, Savage SA. Frequency of Pathogenic Germline Variants in Cancer-Susceptibility Genes in Patients With Osteosarcoma. JAMA Oncol 2021; 6:724-734. [PMID: 32191290 DOI: 10.1001/jamaoncol.2020.0197] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Importance Osteosarcoma, the most common malignant bone tumor in children and adolescents, occurs in a high number of cancer predisposition syndromes that are defined by highly penetrant germline mutations. The germline genetic susceptibility to osteosarcoma outside of familial cancer syndromes remains unclear. Objective To investigate the germline genetic architecture of 1244 patients with osteosarcoma. Design, Setting, and Participants Whole-exome sequencing (n = 1104) or targeted sequencing (n = 140) of the DNA of 1244 patients with osteosarcoma from 10 participating international centers or studies was conducted from April 21, 2014, to September 1, 2017. The results were compared with the DNA of 1062 individuals without cancer assembled internally from 4 participating studies who underwent comparable whole-exome sequencing and 27 173 individuals of non-Finnish European ancestry who were identified through the Exome Aggregation Consortium (ExAC) database. In the analysis, 238 high-interest cancer-susceptibility genes were assessed followed by testing of the mutational burden across 736 additional candidate genes. Principal component analyses were used to identify 732 European patients with osteosarcoma and 994 European individuals without cancer, with outliers removed for patient-control group comparisons. Patients were subsequently compared with individuals in the ExAC group. All data were analyzed from June 1, 2017, to July 1, 2019. Main Outcomes and Measures The frequency of rare pathogenic or likely pathogenic genetic variants. Results Among 1244 patients with osteosarcoma (mean [SD] age at diagnosis, 16 [8.9] years [range, 2-80 years]; 684 patients [55.0%] were male), an analysis restricted to individuals with European ancestry indicated a significantly higher pathogenic or likely pathogenic variant burden in 238 high-interest cancer-susceptibility genes among patients with osteosarcoma compared with the control group (732 vs 994, respectively; P = 1.3 × 10-18). A pathogenic or likely pathogenic cancer-susceptibility gene variant was identified in 281 of 1004 patients with osteosarcoma (28.0%), of which nearly three-quarters had a variant that mapped to an autosomal-dominant gene or a known osteosarcoma-associated cancer predisposition syndrome gene. The frequency of a pathogenic or likely pathogenic cancer-susceptibility gene variant was 128 of 1062 individuals (12.1%) in the control group and 2527 of 27 173 individuals (9.3%) in the ExAC group. A higher than expected frequency of pathogenic or likely pathogenic variants was observed in genes not previously linked to osteosarcoma (eg, CDKN2A, MEN1, VHL, POT1, APC, MSH2, and ATRX) and in the Li-Fraumeni syndrome-associated gene, TP53. Conclusions and Relevance In this study, approximately one-fourth of patients with osteosarcoma unselected for family history had a highly penetrant germline mutation requiring additional follow-up analysis and possible genetic counseling with cascade testing.
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Affiliation(s)
- Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Roelof Koster
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Eric Karlins
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Matthew Gianferante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Logan G Spector
- Department of Pediatrics, University of Minnesota, Minneapolis
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Danielle Karyadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nathan Pankratz
- Department of Pediatrics, University of Minnesota, Minneapolis
| | - Maisa Pinheiro
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Julie M Gastier-Foster
- Department of Pathology and Pediatrics, Nationwide Children's Hospital, The Ohio State University, Columbus
| | - Richard Gorlick
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston
| | - Silvia Regina Caminada de Toledo
- Laboratorio de Genetica, Instituto de Oncologia Pediatrica, Grupo de Apoio ao Adolescente e a Crianca com Cancer/Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Antonio S Petrilli
- Laboratorio de Genetica, Instituto de Oncologia Pediatrica, Grupo de Apoio ao Adolescente e a Crianca com Cancer/Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Ana Patino-Garcia
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain.,Center for Applied Medical Research, University of Navarra, Instituto de Investigacion Sanitaria de Navarra, and Centro de Investigacion Biomedica en Red Cancer, Pamplona, Spain
| | - Fernando Lecanda
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain.,Center for Applied Medical Research, University of Navarra, Instituto de Investigacion Sanitaria de Navarra, and Centro de Investigacion Biomedica en Red Cancer, Pamplona, Spain
| | - Miriam Gutierrez-Jimeno
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain
| | - Massimo Serra
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Claudia Hattinger
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Piero Picci
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Katia Scotlandi
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Adrienne M Flanagan
- Research Department of Pathology, UCL Cancer Institute, London, United Kingdom.,Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Roberto Tirabosco
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Maria Fernanda Amary
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Nilgün Kurucu
- Department of Pediatric Oncology, A.Y. Ankara Oncology Training and Research Hospital, Yenimahalle, Ankara, Turkey
| | - Inci Ergurhan Ilhan
- Department of Pediatric Oncology, A.Y. Ankara Oncology Training and Research Hospital, Yenimahalle, Ankara, Turkey
| | - Mandy L Ballinger
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Donald A Barkauskas
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles
| | | | | | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Susan Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Brian Carter
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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14
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The effects of common variants in MDM2 and GNRH2 genes on the risk and survival of osteosarcoma in Han populations from Northwest China. Sci Rep 2020; 10:15939. [PMID: 32994424 PMCID: PMC7524757 DOI: 10.1038/s41598-020-72995-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 09/03/2020] [Indexed: 11/09/2022] Open
Abstract
Accumulating evidence has shown that both MDM2 and GNRH2 might be related to Osteosarcoma (OS) susceptibility. The study aimed to evaluate the effects of common variants in MDM2 and GNRH2 genes on the risk and survival of osteosarcoma in Han populations from Northwest China. In the study, we recruited 2292 subjects including 596 OS patients and 1696 healthy controls and genotyped 16 selected tag SNPs (6 from GNRH2 and 10 from MDM2). Genetic association analyses were performed at the genotypic and allelic levels. Survival curves were made for OS patients with different genotypes. Two SNPs, rs1690916 (MDM2, P = 0.0002) and rs3761243 (GNRH2, P = 0.0004), were identified to be significantly associated with OS risk. Moreover, SNP rs3761243 was strongly associated with pathological fracture (P = 2.61 × 10–14), metastasis (P < 2.2 × 10–16), and Enneking stage (P < 2.2 × 10–16) in the OS group. Furthermore, survival curves based on different genotypes of SNP rs3761243 were found to be significantly different (P = 0.0003), suggesting increased risk with more copies of C alleles. Our results provide supportive evidence for genetic associations of MDM2 and GNRH2 genes with susceptibility to OS, and for the positive correlation of SNP rs3761243 in GNRH2 with the survival status of OS patients in Han populations from Northwest China.
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15
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Hattinger CM, Patrizio MP, Luppi S, Serra M. Pharmacogenomics and Pharmacogenetics in Osteosarcoma: Translational Studies and Clinical Impact. Int J Mol Sci 2020; 21:E4659. [PMID: 32629971 PMCID: PMC7369799 DOI: 10.3390/ijms21134659] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/23/2020] [Accepted: 06/25/2020] [Indexed: 12/14/2022] Open
Abstract
High-grade osteosarcoma (HGOS) is a very aggressive bone tumor which primarily affects adolescents and young adults. Although not advanced as is the case for other cancers, pharmacogenetic and pharmacogenomic studies applied to HGOS have been providing hope for an improved understanding of the biology and the identification of genetic biomarkers, which may impact on clinical care management. Recent developments of pharmacogenetics and pharmacogenomics in HGOS are expected to: i) highlight genetic events that trigger oncogenesis or which may act as drivers of disease; ii) validate research models that best predict clinical behavior; and iii) indicate genetic biomarkers associated with clinical outcome (in terms of treatment response, survival probability and susceptibility to chemotherapy-related toxicities). The generated body of information may be translated to clinical settings, in order to improve both effectiveness and safety of conventional chemotherapy trials as well as to indicate new tailored treatment strategies. Here, we review and summarize the current scientific evidence for each of the aforementioned issues in view of possible clinical applications.
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Affiliation(s)
| | | | | | - Massimo Serra
- IRCCS Istituto Ortopedico Rizzoli, Laboratory of Experimental Oncology, Pharmacogenomics and Pharmacogenetics Research Unit, 40136 Bologna, Italy; (C.M.H.); (M.P.P.); (S.L.)
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16
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Wang Y, Yang J, Chen P, Song Y, An W, Zhang H, Butegeleqi B, Yan J. MicroRNA-320a inhibits invasion and metastasis in osteosarcoma by targeting cytoplasmic polyadenylation element-binding protein 1. Cancer Med 2020; 9:2833-2845. [PMID: 32064777 PMCID: PMC7163091 DOI: 10.1002/cam4.2919] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 01/07/2020] [Accepted: 01/26/2020] [Indexed: 02/06/2023] Open
Abstract
Osteosarcoma is a primary malignant bone tumor, which affects children, adolescents, and young adults commonly. MicroRNAs (miRNAs) have been proved to be dysregulated in different cancers, including osteosarcoma. Although miR‐320a has been implicated in many types of malignancies, little is known about the role of miR‐320a in osteosarcoma. In this study, we show that the overexpression of miR‐320a or knockdown of cytoplasmic polyadenylation element‐binding protein 1 (CPEB1) inhibited osteosarcoma cell migration and invasion. miR‐320a downregulates CPEB1 expression by directly targeting the CPEB1 3′‐UTR. Furthermore, CPEB1 reintroduction reversed the antiproliferation, antimigration, and antiinvasion roles of miR‐320a, indicating that miR‐320a might function as a tumor suppressor in osteosarcoma through CPEB1. In conclusion, our study demonstrates that miR‐320a plays a critical role in osteosarcoma progression and may provide a potential therapeutic target for osteosarcoma.
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Affiliation(s)
- Yanlong Wang
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
| | - Jiyu Yang
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
| | - Pangtao Chen
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
| | - Yu Song
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
| | - Weizheng An
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
| | - Haoran Zhang
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
| | - Butegeleqi Butegeleqi
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
| | - Jinglong Yan
- Departments of Orthopedic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, P.R. China
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17
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Zhang C, Hansen HM, Semmes EC, Gonzalez-Maya J, Morimoto L, Wei Q, Eward WC, DeWitt SB, Hurst JH, Metayer C, de Smith AJ, Wiemels JL, Walsh KM. Common genetic variation and risk of osteosarcoma in a multi-ethnic pediatric and adolescent population. Bone 2020; 130:115070. [PMID: 31525475 PMCID: PMC6885126 DOI: 10.1016/j.bone.2019.115070] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 09/03/2019] [Accepted: 09/12/2019] [Indexed: 01/07/2023]
Abstract
Osteosarcoma, a malignant primary bone tumor most commonly diagnosed in children and adolescents, has a poorly understood genetic etiology. Genome-wide association studies (GWAS) and candidate-gene analyses have identified putative risk variants in subjects of European ancestry. However, despite higher incidence among African-American and Hispanic children, little is known regarding common heritable variation that contributes to osteosarcoma incidence and clinical presentation across racial/ethnic groups. In a multi-ethnic sample of non-Hispanic white, Hispanic, African-American and Asian/Pacific Islander children (537 cases, 2165 controls), we performed association analyses assessing previously-reported loci for osteosarcoma risk and metastasis, including meta-analysis across racial/ethnic groups. We also assessed a previously described association between genetic predisposition to longer leukocyte telomere length (LTL) and osteosarcoma risk in this independent multi-ethnic dataset. In our sample, we were unable to replicate previously-reported loci for osteosarcoma risk or metastasis detected in GWAS of European-ancestry individuals in either ethnicity-stratified analyses or meta-analysis across ethnic groups. Our analyses did confirm that genetic predisposition to longer LTL is a risk factor for osteosarcoma (ORmeta: 1.22; 95% CI: 1.09-1.36; P = 3.8 × 10-4), and the strongest effect was seen in Hispanic subjects (OR: 1.32; 95% CI: 1.12-1.54, P = 6.2 × 10-4). Our findings shed light on the replicability of osteosarcoma risk loci across ethnicities and motivate further characterization of these genetic factors in diverse clinical cohorts.
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Affiliation(s)
- Chenan Zhang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, United States
| | - Helen M Hansen
- Department of Neurological Surgery, University of California, San Francisco, United States
| | - Eleanor C Semmes
- Children's Health and Discovery Institute, Department of Pediatrics, Duke University, United States
| | - Julio Gonzalez-Maya
- Department of Neurological Surgery, University of California, San Francisco, United States
| | - Libby Morimoto
- School of Public Health, University of California, Berkeley, United States
| | - Qingyi Wei
- Department of Population Health Sciences, Duke University, United States; Duke Cancer Institute, Duke University, United States
| | - William C Eward
- Duke Cancer Institute, Duke University, United States; Department of Orthopaedic Surgery, Duke University, United States
| | | | - Jillian H Hurst
- Children's Health and Discovery Institute, Department of Pediatrics, Duke University, United States
| | - Catherine Metayer
- School of Public Health, University of California, Berkeley, United States
| | - Adam J de Smith
- Center for Genetic Epidemiology, University of Southern California, United States
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, University of California, San Francisco, United States; Department of Neurosurgery, Duke University, United States
| | - Kyle M Walsh
- Department of Epidemiology and Biostatistics, University of California, San Francisco, United States; Duke Cancer Institute, Duke University, United States; Department of Neurosurgery, Duke University, United States.
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18
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Risk Factors for Development of Canine and Human Osteosarcoma: A Comparative Review. Vet Sci 2019; 6:vetsci6020048. [PMID: 31130627 PMCID: PMC6631450 DOI: 10.3390/vetsci6020048] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 05/14/2019] [Accepted: 05/17/2019] [Indexed: 12/18/2022] Open
Abstract
Osteosarcoma is the most common primary tumor of bone. Osteosarcomas are rare in humans, but occur more commonly in dogs. A comparative approach to studying osteosarcoma has highlighted many clinical and biologic aspects of the disease that are similar between dogs and humans; however, important species-specific differences are becoming increasingly recognized. In this review, we describe risk factors for the development of osteosarcoma in dogs and humans, including height and body size, genetics, and conditions that increase turnover of bone-forming cells, underscoring the concept that stochastic mutational events associated with cellular replication are likely to be the major molecular drivers of this disease. We also discuss adaptive, cancer-protective traits that have evolved in large, long-lived mammals, and how increasing size and longevity in the absence of natural selection can account for the elevated bone cancer risk in modern domestic dogs.
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19
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Lupo PJ, Luna-Gierke RE, Chambers TM, Tavelin B, Scheurer ME, Melin B, Papworth K. Perinatal and familial risk factors for soft tissue sarcomas in childhood through young adulthood: A population-based assessment in 4 million live births. Int J Cancer 2019; 146:791-802. [PMID: 30980537 DOI: 10.1002/ijc.32335] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/22/2019] [Accepted: 03/27/2019] [Indexed: 12/16/2022]
Abstract
Perinatal factors have been associated with soft tissue sarcomas (STS) in case-control studies. However, (i) the contributions of factors including fetal growth remain unknown, ( ii) these factors have not been examined in cohort studies and (iii) few assessments have evaluated risk in specific STS subtypes. We sought to identify the role of perinatal and familial factors on the risk of STS in a large population-based birth cohort. We identified 4,023,436 individuals in the Swedish Birth Registry born during 1973-2012. Subjects were linked to the Swedish Cancer Registry, where incident STS cases were identified. We evaluated perinatal and familial factors obtained from Statistics Sweden, including fetal growth, gestational age, and presence of a congenital malformation. Poisson regression was used to estimate incidence rate ratios (IRRs) and 95% confidence intervals (CIs) for associations between perinatal factors and STS overall, as well as by common subtypes. There were 673 individuals diagnosed with STS in 77.5 million person-years of follow-up. Having a congenital malformation was associated with STS (IRR = 1.70, 95% CI: 1.23-2.35). This association was stronger (IRR = 2.90, 95% CI: 1.25-6.71) in recent years (2000-2012). Low fetal growth was also associated with STS during the same time period (IRR = 1.86, 95% CI: 1.05-3.29). Being born preterm was associated with rhabdomyosarcoma (IRR = 1.74, 95% CI: 1.08-2.79). In our cohort study, those with congenital malformations and other adverse birth outcomes were more likely to develop a STS compared to their unaffected contemporaries. These associations may point to disrupted developmental pathways and genetic factors influencing the risk of STS.
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Affiliation(s)
- Philip J Lupo
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Ruth E Luna-Gierke
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Tiffany M Chambers
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Björn Tavelin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Michael E Scheurer
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Karin Papworth
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
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20
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Singe nucleotide polymorphisms in osteosarcoma: Pathogenic effect and prognostic significance. Exp Mol Pathol 2019; 106:63-77. [DOI: 10.1016/j.yexmp.2018.12.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 08/14/2018] [Accepted: 12/05/2018] [Indexed: 12/26/2022]
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21
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Hu XH, Zhao ZX, Dai J, Geng DC, Xu YZ. MicroRNA-221 regulates osteosarcoma cell proliferation, apoptosis, migration, and invasion by targeting CDKN1B/p27. J Cell Biochem 2018; 120:4665-4674. [PMID: 30582227 DOI: 10.1002/jcb.27755] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 09/06/2018] [Indexed: 12/11/2022]
Abstract
MicroRNAs (miRNAs, miR) are of critical importance in growth and metastasis of cancer cells; however, the underlying functions of miRNAs in osteosarcoma (OS) remain largely unknown. This study was aimed to elucidate the role of miR-221 in regulating the biological behavior of OS cells. The proliferation ability was examined by cell counting kit-8 (CCK-8) and cell cycle assay. The abilities of cell migration, invasion, and apoptosis were monitored by transwell assay and flow cytometry, respectively. The effect of miR-221 on cyclin-dependent kinase inhibitor 1B (CDKN1B) expression was evaluated by luciferase assays, real-time polymerase chain reaction, and Western blot analysis. We found that miR-221 was elevated in OS cell lines compared with the normal osteoblastic cell line. Transfection of the miR-221 inhibitor into MG63 and U-2OS cell lines obviously suppressed cell proliferation, migration, and invasion, which is accompanied with cell cycle arrest in G0/G1 phase. Furthermore, luciferase reporter assays indicated that CDKN1B is directly targeted by miR-221 in OS cells. Knockdown of CDKN1B inhibited the effects of miR-221 inhibitor, along with decreased Bax and caspase-3 and increased cyclin E, cyclin D1, Bcl-2, Snail, and Twist1 expression. The results suggested that miR-221 might act as a potentially useful target for treatment of OS.
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Affiliation(s)
- Xiao-Hui Hu
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Orthopedics, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, China
| | - Ze-Xue Zhao
- Department of Orthopedics, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, China
| | - Jian Dai
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Orthopedics, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, China
| | - De-Chun Geng
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yao-Zeng Xu
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
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22
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Martin-Guerrero I, Bilbao-Aldaiturriaga N, Gutierrez-Camino A, Santos-Zorrozua B, Dolžan V, Patiño-Garcia A, Garcia-Orad A. Variants in the 14q32 miRNA cluster are associated with osteosarcoma risk in the Spanish population. Sci Rep 2018; 8:15414. [PMID: 30337581 PMCID: PMC6194014 DOI: 10.1038/s41598-018-33712-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 09/26/2018] [Indexed: 12/11/2022] Open
Abstract
Association studies in osteosarcoma risk found significant results in intergenic regions, suggesting that regions which do not codify for proteins could play an important role. The deregulation of microRNAs (miRNAs) has been already associated with osteosarcoma. Consequently, genetic variants affecting miRNA function could be associated with risk. This study aimed to evaluate the involvement of all genetic variants in pre-miRNAs described so far in relationship to the risk of osteosarcoma. We analyzed a total of 213 genetic variants in 206 pre-miRNAs in two cohorts of osteosarcoma patients (n = 100) and their corresponding controls (n = 256) from Spanish and Slovenian populations, using Goldengate Veracode technology (Illumina). Four polymorphisms in pre-miRNAs at 14q32 miRNA cluster were associated with osteosarcoma risk in the Spanish population (rs12894467, rs61992671, rs58834075 and rs12879262). Pathway enrichment analysis including target genes of these miRNAs pointed out the WNT signaling pathways overrepresented. Moreover, different single nucleotide polymorphism (SNP) effects between the two populations included were observed, suggesting the existence of population differences. In conclusion, 14q32 miRNA cluster seems to be a hotspot for osteosarcoma susceptibility in the Spanish population, but not in the Slovenian, which supports the idea of the existence of population differences in developing this disease.
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Affiliation(s)
- Idoia Martin-Guerrero
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country, UPV/EHU, Leioa, Spain
| | - Nerea Bilbao-Aldaiturriaga
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursery, UPV/EHU, Leioa, Spain
| | - Angela Gutierrez-Camino
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursery, UPV/EHU, Leioa, Spain
| | - Borja Santos-Zorrozua
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursery, UPV/EHU, Leioa, Spain
| | - Vita Dolžan
- Institute of Biochemistry, Faculty of Medicine, Ljubljana, Slovenia
| | - Ana Patiño-Garcia
- Laboratory of Pediatrics, University Clinic of Navarra, Pamplona, Spain
| | - Africa Garcia-Orad
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursery, UPV/EHU, Leioa, Spain. .,BioCruces Health Research Institute, Barakaldo, Spain.
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23
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Zhang C, Morimoto LM, de Smith AJ, Hansen HM, Gonzalez-Maya J, Endicott AA, Smirnov IV, Metayer C, Wei Q, Eward WC, Wiemels JL, Walsh KM. Genetic determinants of childhood and adult height associated with osteosarcoma risk. Cancer 2018; 124:3742-3752. [PMID: 30311632 PMCID: PMC6214707 DOI: 10.1002/cncr.31645] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 05/14/2018] [Accepted: 06/06/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND Although increased height has been associated with osteosarcoma risk in previous epidemiologic studies, to the authors' knowledge the relative contribution of stature during different developmental timepoints remains unclear. Furthermore, the question of how genetic determinants of height impact osteosarcoma etiology remains unexplored. Genetic variants associated with stature in previous genome-wide association studies may be biomarkers of osteosarcoma risk. METHODS The authors tested the associations between osteosarcoma risk and polygenic scores for adult height (416 variants), childhood height (6 variants), and birth length (5 variants) in 864 osteosarcoma cases and 1879 controls of European ancestry. RESULTS Each standard deviation increase in the polygenic score for adult height, corresponding to a 1.7-cm increase in stature, was found to be associated with a 1.10-fold increase in the risk of osteosarcoma (95% confidence interval [95% CI], 1.01-1.19; P =.027). Each standard deviation increase in the polygenic score for childhood height, corresponding to a 0.5-cm increase in stature, was associated with a 1.10-fold increase in the risk of osteosarcoma (95% CI, 1.01-1.20; P =.023). The polygenic score for birth length was not found to be associated with osteosarcoma risk (P =.11). When adult and childhood height scores were modeled together, they were found to be independently associated with osteosarcoma risk (P =.037 and P = .043, respectively). An expression quantitative trait locus for cartilage intermediate layer protein 2 (CILP2), rs8103992, was significantly associated with osteosarcoma risk after adjustment for multiple comparisons (odds ratio, 1.35; 95% CI, 1.16-1.56 [P = 7.93×10-5 and Padjusted =.034]). CONCLUSIONS A genetic propensity for taller adult and childhood height attainments contributed independently to osteosarcoma risk in the current study data. These results suggest that the biological pathways affecting normal bone growth may be involved in osteosarcoma etiology.
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Affiliation(s)
- Chenan Zhang
- Department of Epidemiology and Biostatistics, UCSF
| | | | | | | | | | | | | | | | - Qingyi Wei
- Department of Population Health Sciences, Duke University
| | | | - Joseph L. Wiemels
- Department of Epidemiology and Biostatistics, UCSF
- Center for Genetic Epidemiology, University of Southern California
| | - Kyle M. Walsh
- Department of Epidemiology and Biostatistics, UCSF
- Department of Neurosurgery, Duke University
- Children’s Health and Discovery Institute, Duke University
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24
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Zhang C, Wiemels JL, Hansen HM, Gonzalez-Maya J, Endicott AA, de Smith AJ, Smirnov IV, Witte JS, Morimoto LM, Metayer C, Walsh KM. Two HLA Class II Gene Variants Are Independently Associated with Pediatric Osteosarcoma Risk. Cancer Epidemiol Biomarkers Prev 2018; 27:1151-1158. [PMID: 30038050 DOI: 10.1158/1055-9965.epi-18-0306] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/29/2018] [Accepted: 07/09/2018] [Indexed: 12/18/2022] Open
Abstract
Background: The genetic etiology of osteosarcoma remains poorly understood despite the publication of a genome-wide association study. Association between HLA genetic variants and risk of several cancers has been observed, but HLA variation is not well captured by standard SNP arrays.Methods: We genotyped 207 Californian pediatric osteosarcoma cases and 696 controls of European ancestry using a custom genome-wide array supplemented with approximately 6,000 additional probes across the MHC region. We subsequently imputed 4-digit classical HLA alleles using a reference panel of 5,225 individuals who underwent high-resolution HLA typing via next-generation sequencing. Case-control comparisons were adjusted for ancestry-informative principal components, and top associations from the discovery analysis underwent replication in an independent dataset of 657 cases and 1,183 controls.Results: Three highly correlated HLA class II variants (r 2 = 0.33-0.98) were associated with osteosarcoma risk in discovery analyses, including HLA-DRB1*0301 (OR = 0.52; P = 3.2 × 10-3), HLA-DQA1*0501 (OR = 0.74; P = 0.031), and HLA-DQB1*0201 (OR = 0.51; P = 2.7 × 10-3). Similar associations were observed in the replication data (P range = 0.011-0.037). Meta-analysis of the two datasets identified HLA-DRB1*0301 as the most significantly associated variant (ORmeta = 0.62; P meta = 1.5 × 10-4), reaching Bonferroni-corrected statistical significance. The meta-analysis also revealed a second significant independent signal at HLA-DQA1*01:01 (ORmeta = 1.33, P meta = 1.2 × 10-3), and a third suggestive association at HLA-DQB1*0302 (ORmeta = 0.73, P meta = 6.4 × 10-3).Conclusions: Multiple independent HLA class II alleles may influence osteosarcoma risk.Impact: Additional work is needed to extend our observations to other patient populations and to clarify the potential causal mechanisms underlying these associations. Understanding immunologic contributions to the etiology of osteosarcoma may inform rational therapeutic targets. Cancer Epidemiol Biomarkers Prev; 27(10); 1151-8. ©2018 AACR.
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Affiliation(s)
- Chenan Zhang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.,Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.,Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Helen M Hansen
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Julio Gonzalez-Maya
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Alyson A Endicott
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Adam J de Smith
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Ivan V Smirnov
- Division of Neuroepidemiology, Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Libby M Morimoto
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Catherine Metayer
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Kyle M Walsh
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California. .,Division of Neuro-epidemiology, Department of Neurosurgery, Duke University, Durham, North Carolina.,Children's Health and Discovery Institute, Duke University, Durham, North Carolina
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25
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Identification of key gene modules for human osteosarcoma by co-expression analysis. World J Surg Oncol 2018; 16:89. [PMID: 29720180 PMCID: PMC5932805 DOI: 10.1186/s12957-018-1381-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Accepted: 04/03/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Osteosarcoma is a type of bone cancer casting huge threat to the human health worldwide. Previously, gene expression analyses were performed to identify biomarkers for cancer; however, systemic co-expression analysis for osteosarcoma is still in need. The aim of this study was to construct a gene co-expression network that predicts clusters of candidate genes associated with the pathogenesis of osteosarcoma. METHODS Here, we extracted the large scale of datasets from the GEO database. With systematical approaches, we identified the co-expression modules by using weighted gene co-expression network analysis (WGCNA) and investigated the functional enrichments of important modules at GO and KEGG terms. RESULTS First, seven co-expression modules, which contain different genes, were conducted for 2228 genes in the 22 human osteosarcoma samples. Then, correlation study showed that the hub genes between pairwise modules displayed great differences. Lastly, functional enrichments of the co-expression modules showed that the module 5 enriched in immune response, antigen processing, and presentation, which is in consistence with GO result. Therefore, we speculated that the module 5 may play a key role in the pathogenesis of osteosarcoma. CONCLUSIONS Here, we speculated that genes of the module 5 were the essential genes that were associated to human osteosarcoma. Together, our findings not only provided outline of co-expression gene modules for human osteosarcoma, but also promoted the understanding of these modules at functional aspects.
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26
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Identification of Key Genes and miRNAs in Osteosarcoma Patients with Chemoresistance by Bioinformatics Analysis. BIOMED RESEARCH INTERNATIONAL 2018; 2018:4761064. [PMID: 29850522 PMCID: PMC5937522 DOI: 10.1155/2018/4761064] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 02/21/2018] [Accepted: 03/04/2018] [Indexed: 12/20/2022]
Abstract
Chemoresistance is a significant factor associated with poor outcomes of osteosarcoma patients. The present study aims to identify Chemoresistance-regulated gene signatures and microRNAs (miRNAs) in Gene Expression Omnibus (GEO) database. The results of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) included positive regulation of transcription, DNA-templated, tryptophan metabolism, and the like. Then differentially expressed genes (DEGs) were uploaded to Search Tool for the Retrieval of Interacting Genes (STRING) to construct protein-protein interaction (PPI) networks, and 9 hub genes were screened, such as fucosyltransferase 3 (Lewis blood group) (FUT3) whose expression in chemoresistant samples was high, but with a better prognosis in osteosarcoma patients. Furthermore, the connection between DEGs and differentially expressed miRNAs (DEMs) was explored. GEO2R was utilized to screen out DEGs and DEMs. A total of 668 DEGs and 5 DEMs were extracted from GSE7437 and GSE30934 differentiating samples of poor and good chemotherapy reaction patients. The Database for Annotation, Visualization, and Integrated Discovery (DAVID) was used to perform GO and KEGG pathway enrichment analysis to identify potential pathways and functional annotations linked with osteosarcoma chemoresistance. The present study may provide a deeper understanding about regulatory genes of osteosarcoma chemoresistance and identify potential therapeutic targets for osteosarcoma.
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27
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Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis. Oncotarget 2018; 9:18607-18626. [PMID: 29719630 PMCID: PMC5915097 DOI: 10.18632/oncotarget.24719] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 03/07/2018] [Indexed: 12/18/2022] Open
Abstract
Background The genetic architecture of bone and soft tissue sarcomas susceptibility is yet to be elucidated. We aimed to comprehensively collect and meta-analyze the current knowledge on genetic susceptibility in these rare tumors. Methods We conducted a systematic review and meta-analysis of the evidence on the association between DNA variation and risk of developing sarcomas through searching PubMed, The Cochrane Library, Scopus and Web of Science databases. To evaluate result credibility, summary evidence was graded according to the Venice criteria and false positive report probability (FPRP) was calculated to further validate result noteworthiness. Integrative analysis of genetic and eQTL (expression quantitative trait locus) data was coupled with network and pathway analysis to explore the hypothesis that specific cell functions are involved in sarcoma predisposition. Results We retrieved 90 eligible studies comprising 47,796 subjects (cases: 14,358, 30%) and investigating 1,126 polymorphisms involving 320 distinct genes. Meta-analysis identified 55 single nucleotide polymorphisms (SNPs) significantly associated with disease risk with a high (N=9), moderate (N=38) and low (N=8) level of evidence, findings being classified as noteworthy basically only when the level of evidence was high. The estimated joint population attributable risk for three independent SNPs (rs11599754 of ZNF365/EGR2, rs231775 of CTLA4, and rs454006 of PRKCG) was 37.2%. We also identified 53 SNPs significantly associated with sarcoma risk based on single studies.Pathway analysis enabled us to propose that sarcoma predisposition might be linked especially to germline variation of genes whose products are involved in the function of the DNA repair machinery. Conclusions We built the first knowledgebase on the evidence linking DNA variation to sarcomas susceptibility, which can be used to generate mechanistic hypotheses and inform future studies in this field of oncology.
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28
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Affiliation(s)
- Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, Maryland 20892, USA
| | - Lisa Mirabello
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, Maryland 20892, USA
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29
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Gianferante DM, Mirabello L, Savage SA. Germline and somatic genetics of osteosarcoma - connecting aetiology, biology and therapy. Nat Rev Endocrinol 2017; 13:480-491. [PMID: 28338660 DOI: 10.1038/nrendo.2017.16] [Citation(s) in RCA: 275] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Clinical outcomes and treatment modalities for osteosarcoma, the most common primary cancer of bone, have changed very little over the past 30 years. The peak incidence of osteosarcoma occurs during the adolescent growth spurt, which suggests that bone growth and pubertal hormones are important in the aetiology of the disease. Tall stature, high birth weight and certain inherited cancer predisposition syndromes are well-described risk factors for osteosarcoma. Common genetic variants are also associated with osteosarcoma. The somatic genome of osteosarcoma is highly aneuploid, exhibits extensive intratumoural heterogeneity and has a higher mutation rate than most other paediatric cancers. Complex pathways related to bone growth and development and tumorigenesis are also important in osteosarcoma biology. In this Review, we discuss the contributions of germline and somatic genetics, tumour biology and animal models in improving our understanding of osteosarcoma aetiology, and their potential to identify novel therapeutic targets and thus improve the lives of patients with osteosarcoma.
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Affiliation(s)
- D Matthew Gianferante
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, Maryland 20892, USA
| | - Lisa Mirabello
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, Maryland 20892, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Bethesda, Maryland 20892, USA
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30
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Liu X, Hu AX, Zhao JL, Chen FL. Identification of Key Gene Modules in Human Osteosarcoma by Co-Expression Analysis Weighted Gene Co-Expression Network Analysis (WGCNA). J Cell Biochem 2017; 118:3953-3959. [PMID: 28398605 DOI: 10.1002/jcb.26050] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 04/10/2017] [Indexed: 12/21/2022]
Abstract
Osteosarcoma is the eighth-most common form of childhood cancer, comprising about 20% of all primary bone cancers. To date, systemic co-expression analysis for this cancer is still insufficient to explain the pathogenesis of poorly understood OC. The objective of this study was to construct a gene co-expression network to predict clusters of candidate genes involved in the pathogenesis of osteosarcoma. First, we contributed co-expression modules via weighted gene co-expression network analysis (WGCNA) and investigated the functional enrichment analysis of co-expression genes in terms of GO and KEGG. In result, seven co-expression modules were identified, containing 2,228 differentially expressed genes identified from the 22 human osteosarcoma samples. Subsequently, correlation study showed that the hub-genes between pair-wise modules displayed significant differences. Lastly, functional enrichment analysis of the co-expression modules showed that the module 5 enriched in progresses of immune response, antigen processing, and presentation. In conclusion, we identified essential genes in module 5 which were associated to human osteosarcoma. The key genes in our findings might provide the framework of co-expression gene modules of human osteosarcoma. Further, the functional analysis of these associated genes provides references to understand the mechanism of Osteosarcoma. J. Cell. Biochem. 118: 3953-3959, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Xiangsheng Liu
- The Department of Orthopaedics, The Fifth People's Hospital of Fudan University, Heqing Road No.801, Minghangqu, Shanghai, 200240, People's Republic of China
| | - Ai-Xin Hu
- The Department of Orthopedic Surgery, People's Hospital of Three Gorges University, YiChang, Hubei Province, People's Republic of China
| | - Jia-Li Zhao
- Department of Orthopaedics, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an, Jiangsu, 223002, People's Republic of China
| | - Feng-Li Chen
- Central Laboratory, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, Jiangsu, 223300, People's Republic of China
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31
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Bilbao-Aldaiturriaga N, Askaiturrieta Z, Granado-Tajada I, Goričar K, Dolžan V, For The Slovenian Osteosarcoma Study Group, Garcia-Miguel P, Garcia de Andoin N, Martin-Guerrero I, Garcia-Orad A. A systematic review and meta-analysis of MDM2 polymorphisms in osteosarcoma susceptibility. Pediatr Res 2016; 80:472-9. [PMID: 27438225 DOI: 10.1038/pr.2016.120] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Accepted: 04/21/2016] [Indexed: 01/05/2023]
Abstract
Two polymorphisms in the murine double minute 2 (MDM2) gene (rs1690916 and rs2279744) have been associated with the risk of osteosarcoma (OS). When we analyzed these two polymorphisms in two new independents cohorts (Spanish and Slovenian), we found no association. In order to clarify this, we conducted a meta-analysis including six populations, with a total of 246 OS patients and 1,760 controls for rs1690916; and 433 OS patients and 1,959 controls for rs2279744. Pooled odds ratio risks and corresponding 95% CI were estimated to assess the possible associations. Our results showed that these two polymorphisms were not associated with the susceptibility of OS under any genetic model studied. In conclusion, the present meta-analysis indicates that MDM2 rs1690916 and rs2279744 cannot be considered as genetic risk factors for OS susceptibility in the different populations. Therefore, the influence of these two polymorphisms on the risk of OS may be less important than previously suggested. Future studies are needed to confirm these results.
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Affiliation(s)
- Nerea Bilbao-Aldaiturriaga
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Odontology, University of the Basque Country, UPV/EHU, Spain
| | - Ziortza Askaiturrieta
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Odontology, University of the Basque Country, UPV/EHU, Spain
| | - Itsasne Granado-Tajada
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Odontology, University of the Basque Country, UPV/EHU, Spain
| | - Katja Goričar
- Institute of Biochemistry, Faculty of Medicine, Ljubljana, Slovenia
| | - Vita Dolžan
- Institute of Biochemistry, Faculty of Medicine, Ljubljana, Slovenia
| | | | | | | | - Idoia Martin-Guerrero
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Odontology, University of the Basque Country, UPV/EHU, Spain
| | - Africa Garcia-Orad
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Odontology, University of the Basque Country, UPV/EHU, Spain.,BioCruces Health Research Institute, Barakaldo, Spain
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Flisikowski K, Flisikowska T, Sikorska A, Perkowska A, Kind A, Schnieke A, Switonski M. Germline gene polymorphisms predisposing domestic mammals to carcinogenesis. Vet Comp Oncol 2015; 15:289-298. [PMID: 26575426 DOI: 10.1111/vco.12186] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 09/15/2015] [Accepted: 09/20/2015] [Indexed: 12/31/2022]
Abstract
Cancer is a complex disease caused in part by predisposing germline gene polymorphisms. Knowledge of carcinogenesis in companion mammals (dog and cat) and some livestock species (pig and horse) is quite advanced. The prevalence of certain cancers varies by breed in these species, suggesting the presence of predisposing genetic variants in susceptible breeds. This review summarizes the present understanding of germline gene polymorphisms, including BRCA1, BRCA2, MC1R, KIT, NRAS and RAD51, associated with predisposition to melanoma, mammary cancer, osteosarcoma and histiocytic sarcoma in dogs, cats, pigs and horses. The predisposing variants in these species are discussed in the context of human germline gene polymorphisms associated with the same types of cancer.
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Affiliation(s)
- K Flisikowski
- Chair of Livestock Biotechnology, Technical University of Munich, Freising, Germany
| | - T Flisikowska
- Chair of Livestock Biotechnology, Technical University of Munich, Freising, Germany
| | - A Sikorska
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Poznan, Poland
| | - A Perkowska
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Poznan, Poland
| | - A Kind
- Chair of Livestock Biotechnology, Technical University of Munich, Freising, Germany
| | - A Schnieke
- Chair of Livestock Biotechnology, Technical University of Munich, Freising, Germany
| | - M Switonski
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Poznan, Poland
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Research commentary regarding Savage et al. entitled “Genome-wide association study identifies two susceptibility loci for osteosarcoma”. Cancer Genet 2015; 208:580. [DOI: 10.1016/j.cancergen.2015.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Accepted: 09/05/2015] [Indexed: 11/18/2022]
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Abstract
INTRODUCTION In the early seventies chemotherapy significantly improved survival in osteosarcoma. Since then minor innovations have occurred although recent years have offered insights of clinical and scientific relevance. AREAS COVERED This review focuses on the most recent results of phase 3 and 2 studies. Published data or presentations at International meetings are discussed. A specific section discusses recent insights from studies supporting the hypothesis of a possible personalized chemotherapy approach. EXPERT OPINION Osteosarcoma is a rare tumor and any effort should be made to improve the level of International collaboration. The MAP (methotrexate, doxorubicin and cisplatin) regimen has become the treatment of choice. Poor pathological response to primary chemotherapy is confirmed as a predictive factor of survival and, presently with the available drugs, it is not recommended to intensify or change post-operative treatment on the basis of pathological response to primary chemotherapy. The genomic complexity and the heterogeneity of osteosarcoma makes active and effective molecularly targeted therapies unlikely to be available in the near future. A relation between pharmacogenetic profile and chemotherapy toxicity and prognosis has been reported. The new frontier for clinical research in osteosarcoma is to optimize the use of the active drugs available by personalizing chemotherapy treatment.
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Affiliation(s)
- Stefano Ferrari
- a Musculoskeletal Oncology Department , Rizzoli Orthopaedic Institute , Via Pupilli 1, Bologna 40136 , Italy
| | - Massimo Serra
- b Laboratory of Experimental Oncology , Rizzoli Orthopaedic Institute , Via Pupilli 1, Bologna 40136 , Italy
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GRM4 gene polymorphism is associated with susceptibility and prognosis of osteosarcoma in a Chinese Han population. Med Oncol 2015; 31:50. [PMID: 24984297 PMCID: PMC4079940 DOI: 10.1007/s12032-014-0050-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Osteosarcoma (OS), the most common primary bone malignancy, occurs primarily in adolescents and young adults. In earlier genome-wide association studies, rs7591996, rs10208273, rs17206779 and rs1906953 were identified as candidate loci for OS in Caucasians but the association of these single-nucleotide polymorphisms (SNPs) with OS in a Chinese Han population remains unknown. We measured the frequency of these four variants in a Chinese Han population to better understand the genetic etiology of OS. Polymerase chain reaction sequencing was used to detect the genotypes of four candidate SNPs in peripheral blood samples collected from 168 OS patients and 216 healthy controls. Logistic regression models were used to estimate the odds ratios and 95 % confidence intervals. We found rs1906953 in the glutamate receptor metabotropic 4 (GRM4) gene was associated significantly with OS in our Chinese Han population; as with the other SNPs, however, no statistically significant difference was detected. Further analysis showed the association between rs1906953 and OS was independent of gender and age. The rs1906953 locus was not associated with Enneking stages or tumor location; however, it was associated significantly with OS metastasis and prognosis. The GRM4 gene polymorphism was associated with the susceptibility and metastasis of OS in a Chinese Han population.
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Hattinger CM, Fanelli M, Tavanti E, Vella S, Ferrari S, Picci P, Serra M. Advances in emerging drugs for osteosarcoma. Expert Opin Emerg Drugs 2015; 20:495-514. [PMID: 26021401 DOI: 10.1517/14728214.2015.1051965] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Osteosarcoma (OS), the most common primary malignant bone tumor, is currently treated with pre- and postoperative chemotherapy in association with the surgical removal of the tumor. Conventional treatments allow to cure about 60 - 65% of patients with primary tumors and only 20 - 25% of patients with recurrent disease. New treatment approaches and drugs are therefore highly warranted to improve prognosis. AREAS COVERED This review focuses on the therapeutic approaches that are under development or clinical evaluation in OS. Information was obtained from different and continuously updated data bases, as well as from literature searches, in which particular relevance was given to reports and reviews on new targeted therapies under clinical investigation in high-grade OS. EXPERT OPINION OS is a heterogeneous tumor, with a great variability in treatment response between patients. It is therefore unlikely that a single therapeutic tool will be uniformly successful for all OS patients. This claims for the validation of new treatment approaches together with biologic/(pharmaco)genetic markers, which may select the most appropriate subgroup of patients for each treatment approach. Since some promising novel agents and treatment strategies are currently tested in Phase I/II/III clinical trials, we may hope that new therapies with superior efficacy and safety profiles will be identified in the next few years.
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Bi Y, Jing Y, Cao Y. Overexpression of miR-100 inhibits growth of osteosarcoma through FGFR3. Tumour Biol 2015; 36:8405-11. [PMID: 26018508 DOI: 10.1007/s13277-015-3581-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2015] [Accepted: 05/15/2015] [Indexed: 12/12/2022] Open
Abstract
Osteosarcoma (OS) is a prevalent, fast growing cancer. Identification of molecular regulation of OS growth may result in development of a novel therapy. Previous studies have highlighted a role of microRNAs (miRNAs) in the regulation of the carcinogenesis of OS, whereas the underlying mechanisms are not completely understood. Moreover, a role of miR-100 in the growth control of OS is not clear. Here we reported significantly higher levels of fibroblast growth factor receptor 3 (FGFR3) and significantly lower levels of miR-100 in the OS specimen, compared to those in the paired normal bone tissues. Bioinformatics analysis and luciferase reporter assay suggest that miR-100 binds to the 3'UTR of FGFR3 mRNA to prevent its translation. To prove it, we modified miR-100 levels in OS cells. We found that overexpression of miR-100 in OS cells decreased FGFR3 protein levels, whereas inhibition of miR-100 increased FGFR3 protein levels, without affecting FGFR3 transcripts. Moreover, overexpression of miR-100 suppressed the OS growth in vitro and in vivo, while inhibition of miR-100 significantly increased OS growth. Taken together, our data demonstrate that miR-100 may inhibit the growth of OS through FGFR3.
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Affiliation(s)
- Yunlong Bi
- Department of Orthopedics, The First Affiliated Hospital of Liaoning Medical University, 5-2, Renmin Street, Jinzhou, 121000, China
| | - Yu Jing
- Department of Oncology, The First Affiliated Hospital of Liaoning Medical University, Jinzhou, 121000, China
| | - Yang Cao
- Department of Orthopedics, The First Affiliated Hospital of Liaoning Medical University, 5-2, Renmin Street, Jinzhou, 121000, China.
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Homologous Recombination Repair Polymorphisms and the Risk for Osteosarcoma. J Med Biochem 2015; 34:200-206. [PMID: 28356832 PMCID: PMC4922323 DOI: 10.2478/jomb-2014-0031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Accepted: 01/07/2014] [Indexed: 11/20/2022] Open
Abstract
Background DNA repair mechanisms are essential for maintaining genome stability, and genetic variability in DNA repair genes may contribute to cancer susceptibility. Our aim was to evaluate the influence of polymorphisms in the homologous recombination repair genes XRCC3, RAD51, and NBN on the risk for osteosarcoma. Methods In total, 79 osteosarcoma cases and 373 controls were genotyped for eight single nucleotide polymorphisms (SNPs) in XRCC3, RAD51, and NBN. Logistic regression was used to determine the association of these SNPs with risk for osteosarcoma. Results None of the investigated SNPs was associated with risk for osteosarcoma in the whole cohort of patients, however, in patients diagnosed before the age of thirty years XRCC3 rs861539 C>T and NBN rs1805794 G>C were associated with significantly decreased risk for osteosarcoma (P=0.047, OR=0.54, 95% CI=0.30–0.99 and P=0.036, OR=0.42, 95% CI=0.19–0.94, respectively). Moreover, in the carriers of a combination of polymorphic alleles in both SNPs risk for osteosarcoma was decreased even more significantly (Ptrend=0.007). The risk for developing osteosarcoma was the lowest in patients with no wild-type alleles for both SNPs (P=0.039, OR=0.31, 95% CI=0.10–0.94). Conclusions Our results suggest that polymorphisms in homologous recombination repair genes might contribute to risk for osteosarcoma in patients diagnosed below the age of thirty years.
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PI3K/Akt signaling in osteosarcoma. Clin Chim Acta 2015; 444:182-92. [PMID: 25704303 DOI: 10.1016/j.cca.2014.12.041] [Citation(s) in RCA: 232] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2014] [Revised: 11/24/2014] [Accepted: 12/09/2014] [Indexed: 12/19/2022]
Abstract
Osteosarcoma (OS) is the most common nonhematologic bone malignancy in children and adolescents. Despite the advances of adjuvant chemotherapy and significant improvement of survival, the prognosis remains generally poor. As such, the search for more effective anti-OS agents is urgent. The phosphatidylinositol 3-kinase (PI3K)/Akt pathway is thought to be one of the most important oncogenic pathways in human cancer. An increasing body of evidence has shown that this pathway is frequently hyperactivated in OS and contributes to disease initiation and development, including tumorigenesis, proliferation, invasion, cell cycle progression, inhibition of apoptosis, angiogenesis, metastasis and chemoresistance. Inhibition of this pathway through small molecule compounds represents an attractive potential therapeutic approach for OS. The aim of this review is to summarize the roles of the PI3K/Akt pathway in the development and progression of OS, and to highlight the therapeutic potential of targeting this signaling pathway. Knowledge obtained from the application of these compounds will help in further understanding the pathogenesis of OS and designing subsequent treatment strategies.
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Hu Z, Li N, Xie X, Jiang R. The association of MDM2 c.346G>A genetic variant with the risk of osteosarcoma in Chinese. Genet Test Mol Biomarkers 2015; 19:108-11. [PMID: 25551700 DOI: 10.1089/gtmb.2014.0260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
UNLABELLED Previous studies suggest that the MDM2 gene is one of the most important candidate genes for influencing the risk of osteosarcoma. This study aims to investigate the potential association of MDM2 c.346G>A genetic variant with the risk of osteosarcoma in Chinese. A total of 738 subjects were recruited in this study. The genotypes of MDM2 c.346G>A genetic variant were detected by the created restriction site-polymerase chain reaction. Our data suggest that the MDM2 c.346G>A genetic variant is associated with the increased risk of osteosarcoma in the homozygote comparison (AA vs. GG: odds ratio [OR]=2.36, 95% confidence interval [CI] 1.30-4.28, χ2=8.35, p=0.004), recessive model (AA vs. GA/GG OR=2.32, 95% CI 1.30-4.13, χ2=8.50, p=0.004), and allele comparison (A vs. G: OR=1.27, 95% CI 1.01-1.60, χ2=4.34, p=0.037). Results from this study indicated that the allele-A and genotype-AA of MDM2 c.346G>A genetic variant could be an increased risk factor for the susceptibility to osteosarcoma and might be used as a potential molecular marker for evaluating the risk of osteosarcoma.
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Affiliation(s)
- Zhaohui Hu
- Department of Spine Surgery, Liuzhou People's Hospital , Liuzhou, Guangxi Province, People's Republic of China
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Abstract
Osteosarcoma is the most common primary malignancy of bone, typically presenting in the first or second decade of life. Unfortunately, clinical outcomes for osteosarcoma patients have not substantially improved in over 30 years. This stagnation in therapeutic advances is perhaps explained by the genetic, epigenetic, and biological complexities of this rare tumor. In this review we provide a general background on the biology of osteosarcoma and the clinical status quo. We go on to enumerate the genetic and epigenetic defects identified in osteosarcoma. Finally, we discuss ongoing large-scale studies in the field and potential new therapies that are currently under investigation.
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Affiliation(s)
- James J. Morrow
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Chand Khanna
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Abstract
The primary bone malignancy osteosarcoma (OS) is a painful health burden, of which treatment remains a challenging problem. Identification of specific tumor biomarkers may help to investigate and develop the novel effective therapeutic approaches that have specific molecular target for the treatment of patients with OS. Osteopontin (OPN), a phosphorylated glycoprotein, is involved in many biological processes, such as biomineralization, bone remodeling and immune responses and has recently been reported to be associated with OS pathogenesis. Interestingly, both of the up- and down-regulation of OPN are involved in OS. During OS development, genetic or epigenetic disruption causes reduced expression of RUNX2 and OPN through the up-regulation of notch signaling pathway, leading to the development of OS. On the other hand, during hypoxic condition, upregulation of OPN induces the glucose uptake into hypoxic OS cells which is responsible for the OS cell proliferation and drug resistance. Recent evidences show that targeting OPN might be an important tool in OS therapeutics. This review has focused on the association of abnormal OPN expression with the pathogenesis of OS, the efficiency of OPN as a diagnostic tool for OS and the therapeutic aspects of OS by targeting OPN.
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Associations of polymorphisms in the bone morphogenetic protein-2 gene with risk and prognosis of osteosarcoma in a Chinese population. Tumour Biol 2014; 36:2059-64. [PMID: 25391427 DOI: 10.1007/s13277-014-2813-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Accepted: 11/04/2014] [Indexed: 10/24/2022] Open
Abstract
Osteosarcoma is the most common type of bone cancer in adolescence. Bone morphogenetic protein-2 (BMP-2) plays important roles in the development of bone and cartilage and in inhibiting the tumorigenicity of cancer stem cells in human osteosarcoma cell line. The aim of this study was to examine whether polymorphisms in the BMP2 gene are associated with osteosarcoma risk and prognosis in Chinese population. Five single nucleotide polymorphisms (SNP) in the BMP2 gene were genotyped in a case-control study, including 203 osteosarcoma patients and 406 cancer-free controls. We found that rs3178250 TT genotype was associated with significant increased osteosarcoma risk (age-adjusted odds ratio (OR) = 2.06, 95% confidence intervals (CI) of 1.23-3.45) compared with CC genotype. Subjects carrying the AA genotype of rs1005464 had significant decreased cancer risk (age-adjusted OR = 0.44, 95% CI of 0.23-0.85) compared with those carrying the GG genotype. Haplotype analysis also showed that carriers of the G-T-T-G and A-T-T-G haplotypes (rs235764-rs3178250-rs235768-rs1005464) had significant increased risks of osteosarcoma (age-adjusted OR = 1.85, 95% CI of 1.28-2.66 and age-adjusted OR = 1.51, 95% CI of 1.06-2.16) compared with the G-C-T-A haplotype carriers. Besides, rs1005464 was an independent prognostic factor for osteosarcoma patients (GA vs. GG: age-adjusted hazard radio (HR) = 0.60, 95% CI of 0.36-0.99). Our data suggest that genetic mutations in the BMP2 gene are associated with osteosarcoma risk and prognosis in a Chinese population.
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Exome sequencing identifies FANCM as a susceptibility gene for triple-negative breast cancer. Proc Natl Acad Sci U S A 2014; 111:15172-7. [PMID: 25288723 DOI: 10.1073/pnas.1407909111] [Citation(s) in RCA: 138] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Inherited predisposition to breast cancer is known to be caused by loss-of-function mutations in BRCA1, BRCA2, PALB2, CHEK2, and other genes involved in DNA repair. However, most families severely affected by breast cancer do not harbor mutations in any of these genes. In Finland, founder mutations have been observed in each of these genes, suggesting that the Finnish population may be an excellent resource for the identification of other such genes. To this end, we carried out exome sequencing of constitutional genomic DNA from 24 breast cancer patients from 11 Finnish breast cancer families. From all rare damaging variants, 22 variants in 21 DNA repair genes were genotyped in 3,166 breast cancer patients, 569 ovarian cancer patients, and 2,090 controls, all from the Helsinki or Tampere regions of Finland. In Fanconi anemia complementation gene M (FANCM), nonsense mutation c.5101C>T (p.Q1701X) was significantly more frequent among breast cancer patients than among controls [odds ratio (OR) = 1.86, 95% CI = 1.26-2.75; P = 0.0018], with particular enrichment among patients with triple-negative breast cancer (TNBC; OR = 3.56, 95% CI = 1.81-6.98, P = 0.0002). In the Helsinki and Tampere regions, respectively, carrier frequencies of FANCM p.Q1701X were 2.9% and 4.0% of breast cancer patients, 5.6% and 6.6% of TNBC patients, 2.2% of ovarian cancer patients (from Helsinki), and 1.4% and 2.5% of controls. These findings identify FANCM as a breast cancer susceptibility gene, mutations in which confer a particularly strong predisposition for TNBC.
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Wang L, Liu Z, Jing P, Shao L, Chen L, He X, Gong W. Effects of murine double minute 2 polymorphisms on the risk and survival of osteosarcoma: a systemic review and meta-analysis. Tumour Biol 2014; 35:1649-52. [PMID: 24122202 DOI: 10.1007/s13277-013-1227-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Accepted: 09/16/2013] [Indexed: 01/24/2023] Open
Abstract
Murine double minute 2 (MDM2) plays an important role in the carcinogenesis of many cancers including osteosarcoma. We performed a systemic review and meta-analysis to assess the effects of MDM2 polymorphisms on osteosarcoma risk and survival of patients with osteosarcoma. PubMed, Web of Science, and Wanfang databases were searched for eligible studies on the associations of MDM2 polymorphisms with osteosarcoma risk and survival of patients with osteosarcoma. Pooled odds ratio (OR) or hazard ratio (HR) with 95 % confidence intervals (95 % CIs) was used to assess the effects of MDM2 polymorphisms on osteosarcoma risk and survival of patients with osteosarcoma. Overall, MDM2 rs2279744 polymorphism was associated with a risk of osteosarcoma (allele model, OR = 1.60, 95 % CI 1.23-2.07, P < 0.001; codominant model, OR = 2.47, 95 % CI 1.46-4.19, P = 0.001; recessive model, OR = 2.13, 95 % CI 1.32-3.46, P = 0.002; dominant model, OR = 1.61, 95 % CI 1.12-2.33, P = 0.01). MDM2 rs1690916 polymorphism was also associated with a risk of osteosarcoma (OR = 0.60, 95 % CI 0.46-0.77, P < 0.001). However, MDM2 rs2279744 polymorphism was not associated with the overall survival of patients with osteosarcoma (codominant model, HR = 1.01, 95 % CI 0.53-1.91, P = 0.98; recessive model, HR = 1.07, 95 % CI 0.54-2.11, P = 0.85; dominant model, HR = 1.04, 95 % CI 0.65-1.66, P = 0.87). The meta-analysis suggests that MDM2 polymorphisms have some effects on the risk of osteosarcoma but have no effect on the survival of patients with osteosarcoma. Future studies are needed to further assess the effects of MDM2 polymorphisms on the risk and survival of osteosarcoma.
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Rettew AN, Getty PJ, Greenfield EM. Receptor tyrosine kinases in osteosarcoma: not just the usual suspects. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2014; 804:47-66. [PMID: 24924168 DOI: 10.1007/978-3-319-04843-7_3] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Despite aggressive surgical and chemotherapy protocols, survival rates for osteosarcoma patients have not improved over the last 30 years. Therefore, novel therapeutic agents are needed. Receptor tyrosine kinases have emerged as targets for the development of new cancer therapies since their activation leads to enhanced proliferation, survival, and metastasis. In fact, aberrant expression and activation of RTKs have been associated with the progression of many cancers. Studies from our lab using phosphoproteomic screening identified RTKs that are activated and thus may contribute to the signaling within metastatic human osteosarcoma cells. Functional genomic screening using siRNA was performed to distinguish which of the activated RTKs contribute to in vitro phenotypes associated with metastatic potential (motility, invasion, colony formation, and cell growth). The resulting RTK hits were then validated using independent validation experiments. From these results, we identified four RTKs (Axl, EphB2, FGFR2, and Ret) that have not been previously studied in osteosarcoma and provide targets for the development of novel therapeutics.
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Affiliation(s)
- Ashley N Rettew
- Department of Orthopaedics, Case Medical Center, Case Western Reserve University, Cleveland, OH, USA,
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Wang Z, Wen P, Luo X, Fang X, Wang Q, Ma F, Lv J. Association of the vascular endothelial growth factor (VEGF) gene single-nucleotide polymorphisms with osteosarcoma susceptibility in a Chinese population. Tumour Biol 2013; 35:3605-10. [PMID: 24310504 DOI: 10.1007/s13277-013-1475-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Accepted: 11/26/2013] [Indexed: 12/25/2022] Open
Abstract
Osteosarcoma (OS) is the most common bone malignancy worldwide. The vascular endothelial growth factor (VEGF) gene plays an important role in the pathogenesis of OS. The objective of this study aimed to detect the potential association between VEGF genetic polymorphisms and OS susceptibility in Chinese Han population. We recruited 330 OS patients and 342 cancer-free controls in this case-control study. Three single-nucleotide polymorphisms (SNPs) (-634 G > C, +936 C > T, and +1612 G > A) of the VEGF gene were investigated by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method and confirmed by direct DNA sequencing. Among these SNPs, we found that the genotypes/alleles of +936 C > T were statistically associated with the increased risk of OS (TT versus (vs.) CC: OR = 2.70, 95% CI 1.34-5.45, χ(2) = 8.2271, p = 0.0041; T vs. C: OR = 1.31, 95% CI 1.02-1.68, χ(2) = 4.3861, p = 0.0362). The T allele and TT genotype of +936 C > T could be factors that increase the risk for susceptibility to OS. The results from this study suggest that VEGF genetic variants are potentially related to OS susceptibility in Chinese Han population and might be used as molecular markers for assessing OS susceptibility.
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Affiliation(s)
- Zhen Wang
- Department of Orthopedics, Ningxia People's Hospital, Yinchuan, Ningxia Province, 750021, People's Republic of China
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Miao J, Wu S, Peng Z, Tania M, Zhang C. MicroRNAs in osteosarcoma: diagnostic and therapeutic aspects. Tumour Biol 2013; 34:2093-8. [PMID: 23797816 DOI: 10.1007/s13277-013-0940-7] [Citation(s) in RCA: 117] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Accepted: 06/12/2013] [Indexed: 12/26/2022] Open
Abstract
MicroRNAs (miRNAs) are small RNA molecules, which can interfere with the expression of several genes and act as gene regulator. miRNAs have been proved as a successful diagnostic and therapeutic tool in several cancers. In this review, the differential expression of miRNAs in osteosarcoma and their possibility to be used as diagnostic and therapeutic tools have been discussed. Osteosarcoma is the most common primary bone tumor that mainly affects children and adolescents. The current treatment of osteosarcoma remains difficult, and osteosarcoma causes many deaths because of its complex pathogenesis and resistance to conventional treatments. Several studies demonstrated that the differential expression patterns of miRNAs are a promising tool for the diagnosis and treatment of osteosarcoma. Although some aspect of the mechanism of action of miRNAs in controlling osteosarcoma has been identified (e.g., targeting the Notch signaling pathway), it is far beyond to the clear understanding of miRNA targets in osteosarcoma. Identification of the specific target of miRNAs may aid molecular targets for drug development and future relief of osteosarcoma.
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Affiliation(s)
- Jinglei Miao
- Department of Orthopedics, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410013, China
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Polymorphisms in the MDM2 gene and risk of malignant bone tumors: a meta-analysis. Tumour Biol 2013; 35:779-84. [PMID: 23979978 DOI: 10.1007/s13277-013-1106-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Accepted: 08/12/2013] [Indexed: 10/26/2022] Open
Abstract
There are several studies published to assess the associations of murine double minute 2 (MDM2) genetic polymorphisms with risk of malignant bone tumors, but they reported contradictory results and failed to confirm a strong and consistent association. To assess the evidence regarding the associations of MDM2 genetic polymorphisms with the risk of malignant bone tumors, we conducted a meta-analysis of epidemiological studies. The pooled odds ratio (OR) with its 95% confidence intervals (95% CI) was used to assess these possible associations. Four studies with a total of 3,958 individuals were finally included the meta-analysis. Meta-analysis of two studies on MDM2 SNP309 polymorphism showed that MDM2 SNP309 polymorphism was associated with an increased risk of malignant bone tumors (G versus T: OR = 1.72, 95% CI 1.35-2.20, P < 0.001; GG versus TT: OR = 2.64, 95% CI 1.59-4.39, P < 0.001; GG/GT versus TT: OR = 1.87, 95% CI 1.33-2.62, P < 0.001; GG versus TT/GT: OR = 2.20, 95% CI 1.38-3.51, P = 0.001). Meta-analysis of those two studies on MDM2 rs1690916 polymorphism showed that MDM2 rs1690916 minor allele A was associated with decreased risk of malignant bone tumors (OR = 0.60, 95% CI 0.46-0.77, P < 0.001). Meta-analyses of available data show that there are significant associations of MDM2 SNP309 polymorphism and MDM2 rs1690916 polymorphism with malignant bone tumors.
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Genome-wide association study identifies two susceptibility loci for osteosarcoma. Nat Genet 2013; 45:799-803. [PMID: 23727862 PMCID: PMC3910497 DOI: 10.1038/ng.2645] [Citation(s) in RCA: 158] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2013] [Accepted: 04/26/2013] [Indexed: 02/07/2023]
Abstract
Osteosarcoma is the most common primary bone malignancy of adolescents and young adults. In order to better understand the genetic etiology of osteosarcoma, we performed a multi-stage genome-wide association study (GWAS) consisting of 941 cases and 3,291 cancer-free adult controls of European ancestry. Two loci achieved genome-wide significance: rs1906953 at 6p21.3, in the glutamate receptor metabotropic 4 [GRM4] gene (P = 8.1 ×10-9), and rs7591996 and rs10208273 in a gene desert on 2p25.2 (P = 1.0 ×10-8 and 2.9 ×10-7). These two susceptibility loci warrant further exploration to uncover the biological mechanisms underlying susceptibility to osteosarcoma.
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