Osteosarcoma
What's New
Last Posted: Apr 09, 2024
- 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 - Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai Bing-Li et al. Cancer medicine 2022 - 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 - Cancer risk among RECQL4 heterozygotes.
Martin-Giacalone Bailey A et al. Cancer genetics 2022 262-263107-110 - 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 - 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) - 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 - Medical guidelines for Li-Fraumeni syndrome 2019, version 1.1.
Kumamoto Tadashi et al. International journal of clinical oncology 2021 - Exploration of Immune-Related Gene Expression in Osteosarcoma and Association With Outcomes.
Liu Wangmi et al. JAMA network open 2021 4(8) e2119132 - 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 - 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 - 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 - 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 - Germline TP53 Testing in Breast Cancers: Why, When and How?
Evans D Gareth et al. Cancers 2020 Dec 12(12) - 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 - A systematic review of radiomics in osteosarcoma: utilizing radiomics quality score as a tool promoting clinical translation.
Zhong Jingyu et al. European radiology 2020 Sep - 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 - 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 - 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 - Omic approaches to pediatric bone sarcomas.
Tirtei Elisa et al. Pediatric blood & cancer 2019 Nov e28072 - 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 - The Childhood Cancer Data Initiative: Transforming the Pediatric Cancer Landscape through Sharing Data
DR Lowy, NCI, August 15, 2019 - 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 - 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 - Current understanding of pharmacogenetic implications of DNA damaging drugs used in osteosarcoma treatment.
Hattinger Claudia Maria et al. Expert opinion on drug metabolism & toxicology 2019 Mar - 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 - [Li-Fraumeni syndrome].
Sejben Anita et al. Orvosi hetilap 2019 Feb 160(6) 228-234 - 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 - Management of Individuals at Increased Hereditary Risk
ASCO, 2018 - CLINGEN Actionability Report for Hypophosphatasia-ALPL
ClinGen Actionability Working Group - CLINGEN Actionability Report for Li-Fraumeni Syndrome - TP53
ClinGen Actionability Working Group - CLINGEN Actionability Report for Retinoblastoma-RB1
ClinGen Actionability Working Group - 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 - Pediatric oncologist willingness to offer germline TP53 testing in osteosarcoma.
Shaul Eliana et al. Cancer 2018 Jan - The role of pharmacogenetics in the treatment of osteosarcoma.
Vos Hanneke I et al. Drug discovery today 2016 Nov 21(11) 1775-1786 - Prevalence of Cancer at Baseline Screening in the National Cancer Institute Li-Fraumeni Syndrome Cohort
Mai Phuong L et al. JAMA oncology 2017 Aug - 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 - Clinical genomic profiling to identify actionable alterations for investigational therapies in patients with diverse sarcomas.
Groisberg Roman et al. Oncotarget 2017 Apr - Recommended Guidelines for Validation, Quality Control, and Reporting of TP53 Variants in Clinical Practice.
Leroy Bernard et al. Cancer research 2017 Mar
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 03, 2024
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