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JAMA Netw Open. 2020 Mar 2;3(3):e200265. doi: 10.1001/jamanetworkopen.2020.0265.
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Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease.多发性骨髓瘤 DREAM 挑战赛揭示了表观遗传调节因子 PHF19 作为侵袭性疾病的标志物。
Leukemia. 2020 Jul;34(7):1866-1874. doi: 10.1038/s41375-020-0742-z. Epub 2020 Feb 14.
3
Current Challenges in Cancer Immunotherapy: Multimodal Approaches to Improve Efficacy and Patient Response Rates.癌症免疫疗法当前面临的挑战:提高疗效和患者反应率的多模式方法
J Oncol. 2019 Feb 28;2019:4508794. doi: 10.1155/2019/4508794. eCollection 2019.
4
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response.T 细胞功能障碍和耗竭的特征可预测癌症免疫疗法的反应。
Nat Med. 2018 Oct;24(10):1550-1558. doi: 10.1038/s41591-018-0136-1. Epub 2018 Aug 20.
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Alternative models for sharing confidential biomedical data.共享机密生物医学数据的替代模式。
Nat Biotechnol. 2018 May 9;36(5):391-392. doi: 10.1038/nbt.4128.
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The Immune Landscape of Cancer.癌症的免疫全景。
Immunity. 2018 Apr 17;48(4):812-830.e14. doi: 10.1016/j.immuni.2018.03.023. Epub 2018 Apr 5.
7
The application of crowdsourcing approaches to cancer research: a systematic review.众包方法在癌症研究中的应用:一项系统综述。
Cancer Med. 2017 Nov;6(11):2595-2605. doi: 10.1002/cam4.1165. Epub 2017 Sep 29.
8
First-Line Nivolumab in Stage IV or Recurrent Non-Small-Cell Lung Cancer.一线纳武利尤单抗用于IV期或复发性非小细胞肺癌
N Engl J Med. 2017 Jun 22;376(25):2415-2426. doi: 10.1056/NEJMoa1613493.
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Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data.转移性去势抵抗性前列腺癌患者总生存期的预测:通过利用公开临床试验数据的众包挑战开发预后模型。
Lancet Oncol. 2017 Jan;18(1):132-142. doi: 10.1016/S1470-2045(16)30560-5. Epub 2016 Nov 16.
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Crowdsourcing biomedical research: leveraging communities as innovation engines.众包生物医学研究:将社区作为创新引擎加以利用。
Nat Rev Genet. 2016 Jul 15;17(8):470-86. doi: 10.1038/nrg.2016.69.

Pursuing Better Biomarkers for Immunotherapy Response in Cancer Through a Crowdsourced Data Challenge.

作者信息

Vincent Benjamin G, Szustakowski Joseph D, Doshi Parul, Mason Michael, Guinney Justin, Carbone David P

机构信息

Department of Medicine, Division of Hematology/Oncology, Department of Microbiology and Immunology, Curriculum in Bioinformatics and Computational Biology, Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Bristol Myers Squibb, Princeton, NJ.

出版信息

JCO Precis Oncol. 2021 Nov;5:51-54. doi: 10.1200/PO.20.00371.

DOI:10.1200/PO.20.00371
PMID:34994587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9848594/
Abstract
摘要