Rossi Giulio, Pelosi Giuseppe, Graziano Paolo, Barbareschi Mattia, Papotti Mauro
Division of Pathologic Anatomy, Azienda Ospedaliero-Universitaria Policlinico, Modena, Italy.
Int J Surg Pathol. 2009 Jun;17(3):206-18. doi: 10.1177/1066896909336178.
The classification of lung cancer has always been primarily based on the morphologic assessment of routinely stained histological sections, but this approach may be difficult or even unfeasible in cytological preparations or small biopsies. Moreover, the simplistic dichotomization between small-cell carcinoma and non-small cell carcinoma (NSCLC) should be overcome, as new drugs have been discovered that are effective in specific subtypes of lung cancer. A more accurate characterization of NSCLC, however, may be hard in carcinomas lacking clear-cut signs of differentiation. The incorporation into the diagnostic algorithm of poorly differentiated carcinomas of an immunohistochemical panel including markers of squamous (high-molecular-weight cytokeratins, p63) and glandular (TTF-1, cytokeratin 7) cell differentiation seems the most promising approach. The evaluation of lung cancer for gene mutations, gene amplification, tumor-related angiogenesis, expression levels of DNA repair genes and genomic or proteomic profiles represents an exciting challenge for the pathologist in the near future.
肺癌的分类一直主要基于常规染色组织切片的形态学评估,但这种方法在细胞学标本或小活检中可能困难甚至不可行。此外,由于已发现对特定肺癌亚型有效的新药,小细胞癌和非小细胞癌(NSCLC)之间简单的二分法应被克服。然而,在缺乏明确分化迹象的癌中,对NSCLC进行更准确的特征描述可能很难。将包括鳞状(高分子量细胞角蛋白、p63)和腺性(TTF-1、细胞角蛋白7)细胞分化标志物的免疫组织化学检测组合纳入低分化癌的诊断算法似乎是最有前景的方法。对肺癌进行基因突变、基因扩增、肿瘤相关血管生成、DNA修复基因表达水平以及基因组或蛋白质组图谱的评估,在不久的将来对病理学家来说是一项令人兴奋的挑战。