INSERM U981, Department of Medicine, Institut Gustave Roussy, 114 rue Edouard Vaillant, 94805 Villejuif, France.
Nat Rev Clin Oncol. 2010 Jul;7(7):367-80. doi: 10.1038/nrclinonc.2010.84. Epub 2010 Jun 15.
The explosion of knowledge in cancer biology in the past two decades has led to the identification of specific molecular circuits in solid tumors. These pathways reflect specific abnormalities thought to drive malignant progression. This knowledge has also generated a vast panel of cancer biomarkers although many of these biomarkers lack sufficient research and validation to be used in the clinic. This Review discusses relevant molecular prognostic and/or predictive biomarkers in the six leading tumors with the highest contribution to cancer mortality: breast, lung, colorectal, prostate, pancreatic and ovarian cancer. Each biomarker is described according to its associated clinicopathological presentation and specific associated molecular interactions. Despite only few biomarkers being currently implemented in clinical practice, a new generation of predictors is emerging that could modify the classic organ-based cancer classification (for example, defects in DNA repair, aberrant MAPK signaling and aberrant PI3K/Akt/mTOR signaling). The advent of high-throughput strategies will also probably substitute monobiomarker strategies.
在过去的二十年中,癌症生物学领域的知识呈爆炸式增长,这导致了实体瘤中特定分子通路的鉴定。这些通路反映了被认为驱动恶性进展的特定异常。这一知识还产生了大量的癌症生物标志物,尽管其中许多生物标志物缺乏足够的研究和验证,无法在临床上使用。
这篇综述讨论了与六种导致癌症死亡率最高的主要肿瘤相关的有意义的分子预后和/或预测生物标志物:乳腺癌、肺癌、结直肠癌、前列腺癌、胰腺癌和卵巢癌。根据其相关的临床病理表现和特定的相关分子相互作用,对每个生物标志物进行了描述。尽管目前只有少数生物标志物在临床实践中得到应用,但新一代的预测因子正在出现,这可能会改变经典的基于器官的癌症分类(例如,DNA 修复缺陷、MAPK 信号异常和 PI3K/Akt/mTOR 信号异常)。高通量策略的出现也可能会取代单生物标志物策略。