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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
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Last data update: Apr 18, 2024
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Osteosarcoma[original query]>>Original Studies[Product Type]
Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram.
Lu Zhang et al. Front Oncol 2024 141345576
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Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai Bing-Li et al. Cancer medicine 2022
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Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.
Zhong Jingyu et al. European radiology 2022
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Cancer risk among RECQL4 heterozygotes.
Martin-Giacalone Bailey A et al. Cancer genetics 2022 262-263107-110
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Correlation of histopathology and multi-modal magnetic resonance imaging in childhood osteosarcoma: Predicting tumor response to chemotherapy.
Teo Ka Yaw et al. PloS one 2022 17(2) e0259564
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Effectiveness of Learning Systems from Common Image File Types to Detect Osteosarcoma Based on Convolutional Neural Networks (CNNs) Models.
Loraksa Chanunya et al. Journal of imaging 2022 8(1)
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Machine Learning-Based Radiomics Nomogram With Dynamic Contrast-Enhanced MRI of the Osteosarcoma for Evaluation of Efficacy of Neoadjuvant Chemotherapy.
Zhang Lu et al. Frontiers in oncology 2021 11758921
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Exploration of Immune-Related Gene Expression in Osteosarcoma and Association With Outcomes.
Liu Wangmi et al. JAMA network open 2021 4(8) e2119132
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Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.
Pereira Helcio Mendonça et al. The British journal of radiology 2021 20201391
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12 Survival-related differentially expressed genes based on the TARGET-osteosarcoma database.
Rothzerg Emel et al. Experimental biology and medicine (Maywood, N.J.) 2021 15353702211007410
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Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm.
Jiang Jiuzhou et al. Scientific reports 2021 11(1) 5542
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Identification of 6 gene markers for survival prediction in osteosarcoma cases based on multi-omics analysis.
Li Runmin et al. Experimental biology and medicine (Maywood, N.J.) 2021 Feb 1535370221992015
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Retrospective investigation of hereditary syndromes in patients with medulloblastoma in a single institution.
Wang Ying et al. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery 2020 Sep
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Elevated long noncoding RNA HAGLROS expression correlates with clinical progression and prognosis in osteosarcoma.
Wu P-F et al. European review for medical and pharmacological sciences 2019 Feb 23(4) 1428-1433
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A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma.
Wu Guangzhi et al. BMC cancer 2020 May 20(1) 456
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Feasibility of multi-parametric magnetic resonance imaging combined with machine learning in the assessment of necrosis of osteosarcoma after neoadjuvant chemotherapy: a preliminary study.
Huang Bingsheng et al. BMC cancer 2020 Apr 20(1) 322
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Machine learning-based prediction of response to PARP inhibition across cancer types.
KE Hill et al, MedRXIV, September 27, 2019
Prediction of Chemotherapy Response of Osteosarcoma Using Baseline 18 F-FDG Textural Features Machine Learning Approaches with PCA.
Jeong Su Young et al. Contrast media & molecular imaging 2019 20193515080
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Co-Expression Network Analysis Identified Gene Signatures in Osteosarcoma as a Predictive Tool for Lung Metastasis and Survival.
Zhang Honghua et al. Journal of Cancer 2019 10(16) 3706-3716
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Clinical genomic sequencing of pediatric and adult osteosarcoma reveals distinct molecular subsets with potentially targetable alterations.
Suehara Yoshiyuki et al. Clinical cancer research : an official journal of the American Association for Cancer Research 2019 Jun
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Possible roles of genetic variations in chemotherapy related cardiotoxicity in pediatric acute lymphoblastic leukemia and osteosarcoma.
Sági Judit C et al. BMC cancer 2018 Jul 18(1) 704
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Integration of genomic copy number variations and chemotherapy-response biomarkers in pediatric sarcoma.
Cheng Lijun et al. BMC medical genomics 2019 Jan 12(Suppl 1) 23
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A Pharmacokinetic and Pharmacogenetic Analysis of Osteosarcoma Patients Treated With High-Dose Methotrexate: Data From the OS2006/Sarcoma-09 Trial.
Lui Gabrielle et al. Journal of clinical pharmacology 2018 May
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Pediatric oncologist willingness to offer germline TP53 testing in osteosarcoma.
Shaul Eliana et al. Cancer 2018 Jan
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Prevalence of Cancer at Baseline Screening in the National Cancer Institute Li-Fraumeni Syndrome Cohort
Mai Phuong L et al. JAMA oncology 2017 Aug
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Pharmacogenetics in cancer therapy - 8 years of experience at the Institute for Oncology and Radiology of Serbia.
Cavic Milena et al. Journal of B.U.ON. : official journal of the Balkan Union of Oncology 21(5) 1287-1295
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Clinical genomic profiling to identify actionable alterations for investigational therapies in patients with diverse sarcomas.
Groisberg Roman et al. Oncotarget 2017 Apr
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 18, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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