Department of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Mod Pathol. 2019 Jan;32(Suppl 1):16-26. doi: 10.1038/s41379-018-0156-x. Epub 2019 Jan 2.
Lung carcinoma is the leading cause of cancer mortality for both genders in the United States and throughout the world. Many of these tumors are being diagnosed with minimally invasive means resulting in small samples. There is a need to extract an increasing amount of therapeutic and prognostic information from progressively smaller samples. Collaboration among clinicians and pathologists is needed to produce a comprehensive final diagnosis in patients with lung cancer. This collaboration facilitates triage of small samples for ancillary studies including molecular testing. What follows represents a review of the current required testing for lung cancer specimens, an example of an algorithm currently employed at the Cleveland Clinic so that all required tests can be performed even on the smallest of specimens and suggestions on how pathologists may approach this new era of "doing more with less".
肺癌是美国和全球男性和女性癌症死亡的主要原因。这些肿瘤中有许多是通过微创手段诊断出来的,导致样本量很小。需要从越来越小的样本中提取越来越多的治疗和预后信息。临床医生和病理学家之间需要合作,为肺癌患者做出全面的最终诊断。这种合作促进了对辅助研究(包括分子测试)的小样本进行分类。以下是对肺癌标本目前所需检测的回顾,以及克利夫兰诊所目前使用的算法示例,以便即使在最小的标本上也能进行所有必需的检测,并就病理学家如何应对这个“用更少的资源做更多的事情”的新时代提出建议。