Molecular tracing of prostate cancer lethality.
Molecular tracing of prostate cancer lethality.
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DOI：
10.1038/s41388-020-01496-5
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发表时间：
2020-12
期刊：
影响因子：
8
通讯作者：
Kyprianou N
中科院分区：
文献类型：
--
作者：
Wang YA;Sfakianos J;Tewari AK;Cordon-Cardo C;Kyprianou N
前列腺癌主要在50岁以上的男性中确诊，由于癌症的早期发现和根治性手术治疗的可获得性，前列腺癌具有良好的5年生存率。然而，进展到转移和出现治疗耐药是导致前列腺癌死亡的主要原因。测序技术和计算能力的最新进展提高了组织和分析大数据的能力，从而使识别用于生存、转移进展和患者预后的新生物标志物成为可能。大规模测序研究还发现了与前列腺癌分子亚型相关的遗传和表观遗传学特征，支持个性化靶向治疗的开发。然而，主流前列腺癌治疗的现状并没有充分利用现有的个性化诊断和治疗方式。这篇综述集中于前列腺癌进展的生物标志物，包括与肿瘤致命性的获得相对应的基因标志，以及那些在进展到晚期疾病中具有预测和预后价值的基因标志，并建议我们如何利用我们对生物标志物和分子亚型的知识来改善患者的治疗和生存结果。
Prostate cancer is diagnosed mostly in men over the age of 50 years, and has favorable 5-year survival rates due to early cancer detection and availability of curative surgical management. However, progression to metastasis and emergence of therapeutic resistance are responsible for the majority of prostate cancer mortalities. Recent advancement in sequencing technologies and computational capabilities have improved the ability to organize and analyze large data, thus enabling the identification of novel biomarkers for survival, metastatic progression and patient prognosis. Large-scale sequencing studies have also uncovered genetic and epigenetic signatures associated with prostate cancer molecular subtypes, supporting the development of personalized targeted-therapies. However, the current state of mainstream prostate cancer management does not take full advantage of the personalized diagnostic and treatment modalities available. This review focuses on interrogating biomarkers of prostate cancer progression, including gene signatures that correspond to the acquisition of tumor lethality and those of predictive and prognostic value in progression to advanced disease, and suggest how we can use our knowledge of biomarkers and molecular subtypes to improve patient treatment and survival outcomes.
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影响因子：
28.4
作者：
Almassi, Nima;Reichard, Chad;Sharifi, Nima
通讯作者：
Sharifi, Nima
影响因子：
64.5
作者：
Chang KH;Li R;Kuri B;Lotan Y;Roehrborn CG;Liu J;Vessella R;Nelson PS;Kapur P;Guo X;Mirzaei H;Auchus RJ;Sharifi N
通讯作者：
Sharifi N
影响因子：
82.9
作者：
Beltran H;Prandi D;Mosquera JM;Benelli M;Puca L;Cyrta J;Marotz C;Giannopoulou E;Chakravarthi BV;Varambally S;Tomlins SA;Nanus DM;Tagawa ST;Van Allen EM;Elemento O;Sboner A;Garraway LA;Rubin MA;Demichelis F
通讯作者：
Demichelis F
影响因子：
64.5
作者：
Cancer Genome Atlas Research Network
通讯作者：
Cancer Genome Atlas Research Network
影响因子：
--
作者：
Bauman, DR;Steckelbroeck, S;Penning, TM
通讯作者：
Penning, TM