Cancer sequencing initiatives have generated genomic data for thousands of patients and tumor types, permitting the identification of hundreds of driver mutations responsible for uncontrolled cell proliferation. The analyses of these molecular profiles are, for the first time, enabling precision oncology, where patients are no longer stratified by the tissue of origin of their tumors but by their oncogenomic characteristics.
The accurate comparison of patient cohorts is crucial in evaluating their molecular diversity and, more importantly, in assessing whether information, such as treatment benefits or prognostic factors, learned from a reference group can be safely transferred to a new cohort.
有了这个目标,我们开发了OncoGenomic土地capes, a visualization tool that organizes tumor samples, and other cancer models, in a 2D space, enabling the comparison of large cohorts and capturing their molecular heterogeneity. Our resource includes information on the main cohorts published to date and, in addition, offers the possibility of mapping new samples and cohorts, providing an intuitive means to visualize user data and enrich it with knowledge transferred from the large corpus of cancer samples available today.
OncoGenomic Landscapes might also be useful in assessing the molecular representativity of different model systems (cell lines, organoids or patient derived xenografts) with respect to a reference clinical cohort, thus helping in the selection of the most appropriate pre-clinical model. Interestingly, we found that distances between patients in OncoGenomic Landscapes correlate with relevant clinical features, suggesting that they can guide the design of clinical basket trials, where patients are selected based on their oncogenomic profiles regardless of their specific tumor type.
我们认为，在更普遍的人类癌症中，将个体患者的情境化是为试图识别治疗机会的临床肿瘤学家的宝贵援助，例如，在富有同情心的基础上，对于已经用完标准治疗选择的患者。
To facilitate user-friendly access to the visualization tool for non-specialists, we have integrated it in an open web-server availablehere.
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