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肺神经内分泌肿瘤中的治疗生物标志物。

Therapeutic biomarkers in lung neuroendocrine neoplasia.

作者信息

Righi Luisella, Volante Marco, Rapa Ida, Vatrano Simona, Pelosi Giuseppe, Papotti Mauro

机构信息

Department of Oncology, University of Turin at San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Turin, Italy.

出版信息

Endocr Pathol. 2014 Dec;25(4):371-7. doi: 10.1007/s12022-014-9335-6.

Abstract

The well-known classification of neuroendocrine neoplasms of the lung into four major subtypes (including typical and atypical carcinoids and small- and large-cell neuroendocrine carcinomas) has a proven prognostic validity but only partially helps to predict the response to specific therapies. Therapeutic biomarkers are incompletely known and include morphological, immunophenotypic, and molecular markers. Morphology alone has no specific predictive role, nor has any immunophenotypic marker been proven to bear predictive implications. Ki67 is a relevant prognostic marker and can indirectly predict response to chemotherapy, when levels are extremely high in high-grade neuroendocrine (NE) carcinomas. The expression of somatostatin receptors, especially of the type 2A, has been shown to predict response to somatostatin analog treatments, paralleling the information derived from octreotide scintigraphy. mTOR pathway is targeted by specific inhibitors, but the exact cellular molecules predicting response are still to be defined. It seems that high levels of phosphorylated forms of mTOR and of its downstream factor S6K are associated to a better response to rapalogs in experimental models. Data from gene expression profiling and mutational analyses are currently emerging, providing a more detailed map of different molecular activation pathways, potentially leading to a more accurate molecular classification of lung NE tumors as well as to the discovery of new therapeutic targets. The combination of mutational profiles with those of upregulated or downregulated genes also by gene gains or losses may ultimately provide a better characterization of NE tumor histological types in terms of response to specific chemotherapy or biotherapy.

摘要

将肺神经内分泌肿瘤分为四种主要亚型(包括典型类癌、非典型类癌以及小细胞和大细胞神经内分泌癌)的著名分类方法已被证实具有预后有效性,但仅在一定程度上有助于预测对特定疗法的反应。治疗生物标志物尚不完全清楚,包括形态学、免疫表型和分子标志物。单独的形态学没有特定的预测作用,也没有任何免疫表型标志物被证明具有预测意义。Ki67是一个相关的预后标志物,在高级别神经内分泌(NE)癌中水平极高时可间接预测对化疗的反应。生长抑素受体的表达,尤其是2A型,已被证明可预测对生长抑素类似物治疗的反应,这与从奥曲肽闪烁扫描获得的信息一致。mTOR通路可被特定抑制剂靶向,但预测反应的确切细胞分子仍有待确定。在实验模型中,似乎mTOR及其下游因子S6K的高水平磷酸化形式与对雷帕霉素类似物的更好反应相关。目前正在出现来自基因表达谱分析和突变分析的数据,提供了不同分子激活途径的更详细图谱,这可能导致对肺NE肿瘤进行更准确的分子分类,并发现新的治疗靶点。突变谱与通过基因获得或缺失导致的上调或下调基因的谱相结合,最终可能在对特定化疗或生物治疗的反应方面更好地表征NE肿瘤的组织学类型。

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