Department of Medicine, Faculty of Health Sciences, Institute of Immunology and Experimental Oncology, ZBAF, University Witten/Herdecke, Witten 58448, Germany.
Dana Faber Cancer Institute, Harvard University Medical School, Boston, MA 02115, USA.
J Pers Med. 2013 Apr 29;3(2):70-81. doi: 10.3390/jpm3020070.
The Oslo University Hospital (Norway), the K.G. Jebsen Centre for Breast Cancer Research (Norway), The Radiumhospital Foundation (Norway) and the Fritz-Bender-Foundation (Germany) designed under the conference chairmen (E. Mihich, K.S. Zänker, A.L. Borresen-Dale) and advisory committee (A. Borg, Z. Szallasi, O. Kallioniemi, H.P. Huber) a program at the cutting edge of "PERSONALIZED CANCER CARE: Risk prediction, early diagnosis, progression and therapy resistance." The conference was held in Oslo from September 7 to 9, 2012 and the science-based presentations concerned six scientific areas: (1) Genetic profiling of patients, prediction of risk, late side effects; (2) Molecular profiling of tumors and metastases; (3) Tumor-host microenvironment interaction and metabolism; (4) Targeted therapy; (5) Translation and (6) Informed consent, ethical challenges and communication. Two satellite workshops on (i) Ion Ampliseq-a novel tool for large scale mutation detection; and (ii) Multiplex RNA ISH and tissue homogenate assays for cancer biomarker validation were additionally organized. The report concludes that individual risk prediction in carcinogenesis and/or metastatogenesis based on polygenic profiling may be useful for intervention strategies for health care and therapy planning in the future. To detect distinct and overlapping DNA sequence alterations in tumor samples and adjacent normal tissues, including point mutations, small insertions or deletions, copy number changes and chromosomal rearrangements will eventually make it possible to design personalized management plans for individualized patients. However, large individualized datasets need a new approach in bio-information technology to reduce this enormous data dimensionally to simply working hypotheses about health and disease for each individual.
奥斯陆大学医院(挪威)、KG Jebsen 乳腺癌研究中心(挪威)、Radiumhospital 基金会(挪威)和 Fritz-Bender 基金会(德国)在会议主席(E. Mihich、K.S. Zänker、A.L. Borresen-Dale)和顾问委员会(A. Borg、Z. Szallasi、O. Kallioniemi、H.P. Huber)的领导下设计了一个处于“个体化癌症护理:风险预测、早期诊断、进展和治疗抵抗”前沿的计划。该会议于 2012 年 9 月 7 日至 9 日在奥斯陆举行,基于科学的演讲涉及六个科学领域:(1)患者的遗传分析,风险预测,晚期副作用;(2)肿瘤和转移的分子分析;(3)肿瘤-宿主微环境相互作用和代谢;(4)靶向治疗;(5)转化;(6)知情同意、伦理挑战和沟通。此外,还组织了两个卫星研讨会:(i)Ion Ampliseq-一种用于大规模突变检测的新工具;(ii)用于癌症生物标志物验证的多重 RNA ISH 和组织匀浆测定。报告得出结论,基于多基因分析的个体致癌作用和/或转移发生风险预测可能有助于未来的医疗保健干预策略和治疗计划。为了检测肿瘤样本和相邻正常组织中的独特和重叠的 DNA 序列改变,包括点突变、小插入或缺失、拷贝数变化和染色体重排,最终将有可能为个体化患者设计个性化的管理计划。然而,大型个体化数据集需要新的生物信息技术方法,以便将巨大的数据维度缩小到每个个体的健康和疾病的简单工作假设。