中国高校科技期刊研究会第9次会员代表大会在北京召开，中宣部出版局副局长张怀海、教育部科学技术与信息化司一级巡视员张国辉等领导出席会议并发表..
英文简介：OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents-Novel therapeutic regimens for improved benefit and/or decreased side effects-Early stage clinical trialsFurther considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.中文简介：（来自Google、百度翻译）OncoTargets and Therapy是一本国际同行评审期刊，专注于癌症研究的分子方面，即针对所有类型癌症的分子诊断和靶向分子或精确治疗。 该期刊的特点是快速报道高质量的原创研究，基础科学，评论和评估，专家意见和评论，从而对癌症或癌症亚型产生了新的见解。 期刊涵盖的特定主题包括: -新的治疗靶点和创新药物 -改善获益和/或减少副作用的新的治疗方案 -早期临床试验 提交肿瘤目标和治疗时的进一步考虑: -包含体内动物模型数据的研究将被认为是有利的。-除非在涉及多个细胞系的综合生物学研究支持的情况下，否则将不考虑组织微阵列分析。-仅当通过全面的体外数据和人体组织样本分析进行验证时，才会考虑生物标志物关联研究。-利用公开可用数据 (例如gwa/TCGA/GEO等) 的研究应增加有关特定疾病或相关表型的知识，并且必须使用作者自己的数据通过独立样本集和功能随访进行验证。-生物信息学研究必须通过在独立样本集中复制和功能随访中使用作者自己的数据进行验证。-将不考虑单核苷酸多态性 (SNP) 研究。
