Massive efforts to sequence cancer genomes have compiled an impressive catalogue of cancer mutations, revealing the recurrent exploitation of a handful of 'hallmark cancer pathways'. However, unraveling how sets of mutated proteins in these and other pathways hijack pro-proliferative signaling networks and dictate therapeutic responsiveness remains challenging. Here, we show that cancer driver protein-protein interactions are enriched for additional cancer drivers, highlighting the power of physical interaction maps to explain known, as well as uncover new, disease-promoting pathway interrelationships. We hypothesize that by systematically mapping the protein-protein and genetic interactions in cancer-thereby creating Cancer Cell Maps-we will create resources against which to contextualize a patient's mutations into perturbed pathways/complexes and thereby specify a matching targeted therapeutic cocktail.

中文翻译：

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绘制蛋白质-蛋白质和癌症的遗传相互作用图谱，以指导精密医学。

对癌症基因组测序的大量努力已经汇编了一份令人印象深刻的癌症突变目录，揭示了对少数“标志性癌症途径”的反复利用。然而，揭示这些和其他途径中的突变蛋白如何劫持促增殖信号网络并指示治疗反应性仍然具有挑战性。在这里，我们证明了癌症驱动程序蛋白之间的相互作用被丰富了其他的癌症驱动程序，从而突出了物理相互作用图谱的作用，以解释已知的，发现新的，促进疾病的途径之间的相互关系。我们假设，通过系统地绘制癌症中蛋白质与蛋白质的相互作用以及遗传相互作用，从而创建癌细胞图，我们将创造资源来根据患者的情况