Building a Statistics Education Program for Preclinical Cancer Researchers

为临床前癌症研究人员建立统计教育计划

• 批准号: 10017922
• 负责人: Sujata Patil
• 金额: $ 3.06万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-13 至 2020-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10017922
• 关键词: Antineoplastic Agents; Biomedical Research; Cardiovascular Diseases; Clinical; Communities; Community Clinical Oncology Program; Complex; Computer software; Computers; Data; Data Analyses; Disease; Drops; Education; Educational Curriculum; Experimental Designs; Failure; Foundations; Frequencies; Genomics; Goals; Hand functions; Head; Human; Instruction; Investigation; Knowledge; Laboratories; Laboratory Research; Laboratory Study; Lead; Malignant Neoplasms; Memorial Sloan-Kettering Cancer Center; Methods; Modeling; Molecular; Nature; Phase III Clinical Trials; Postdoctoral Fellow; Procedures; Publishing; R programming language; Reporting; Research; Research Personnel; Resources; Science; Severities; Source; Statistical Methods; Testing; Time; Training; Translating; Translations; United States National Institutes of Health; anticancer activity; anticancer research; base; cancer statistics; career; design; effective therapy; experience; experimental study; flipped classroom; improved; laboratory experiment; lecture notes; lectures; pre-clinical; pre-clinical research; programs; scaffold; statistics; success; tool; tumor

ABSTRACT In the past decade, the cancer research community has made considerable progress in characterizing the genomic features of human tumors. Knowledge of molecular drivers of cancer has therefore increased greatly. Although the oncology community hoped that this would lead to more effective therapies, our ability to translate laboratory cancer research into clinical success has been remarkably low – only 5% of the agents demonstrated to have anticancer activity in laboratory studies went on to achieve success in phase III clinical trials. Many factors are responsible for this disturbingly high percentage of failures, including misuse or misunderstanding of statistical design and analysis concepts, interpretation and reporting methods. Although correctable, these issues are widely prevalent in the cancer biomedical research enterprise. Another concern is that statistics training is not a required component of graduate programs in biomedical sciences. Recognizing the seriousness of these issues, the National Institutes of Health has called for the full engagement of the entire biomedical research enterprise to implement the resources needed to improve and sustain the statistical rigor and successful translation of preclinical cancer research. To this end, we propose to develop a statistics curriculum for early-career preclinical cancer researchers (i.e., postdoctoral researchers) conducting laboratory research at Memorial Sloan Kettering Cancer Center as well as the broader research community. Our proposed curriculum will be delivered over a 10-week period with one 90-minute class per week in a flipped classroom format, where lecture notes will be disseminated one week prior to each classroom contact and classroom time will be dedicated to hands-on activities with experimental designs, data analysis and participatory dialogues. We will develop a plan for evaluating our proposed curriculum and make all the resources available to the broader statistics and cancer research communities.

摘要 在过去的十年里，癌症研究界在表征癌症的特征方面取得了相当大的进展。 人类肿瘤的基因组特征。因此，对癌症分子驱动因素的了解大大增加。 尽管肿瘤学界希望这能带来更有效的治疗方法，但我们的翻译能力 实验室癌症研究的临床成功率非常低-只有5%的药物 在实验室研究中证明具有抗癌活性，并在III期临床试验中取得成功。 审判许多因素导致了这种令人不安的高比例的故障，包括误用或 对统计设计和分析概念、解释和报告方法的误解。虽然 这些问题在癌症生物医学研究企业中普遍存在。另一个担忧是 统计培训不是生物医学科学研究生课程的必要组成部分。认识 鉴于这些问题的严重性，美国国立卫生研究院呼吁 整个生物医学研究企业实施所需的资源，以改善和维持统计 临床前癌症研究的严谨性和成功的翻译。为此，我们建议编制一个统计数字， 早期职业临床前癌症研究人员的课程（即，博士后研究人员）进行实验室 研究在纪念斯隆凯特琳癌症中心以及更广泛的研究社区。我们 拟议的课程将在10周内交付，每周一堂90分钟的翻转课。 课堂形式，其中讲义将在每次课堂接触前一周分发， 课堂时间将致力于实践活动与实验设计，数据分析和 参与式对话。我们将制定一个计划，评估我们提出的课程，并使所有的 向更广泛的统计和癌症研究界提供资源。