Department of Pathology, Moffitt Cancer Center and Research Institute, Tampa, FL, U.S.A.
Department of Gastro-intestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, U.S.A.
Anticancer Res. 2022 Mar;42(3):1381-1396. doi: 10.21873/anticanres.15608.
BACKGROUND/AIM: Cancer of unknown primary (CUP), representing 3-5% of all newly diagnosed cancers in the United States, is a presumptive, non-definitive diagnosis rendered when a primary tumor site cannot be identified after exhaustive diagnostic evaluation, including cases of neuroendocrine neoplasms (NENs). CUPs are characterized by findings that are challenging to reconcile, including inconclusive immunohistochemical (IHC) stains, an undifferentiated morphologic phenotype, history of multiple cancers, a clinical presentation that is discordant from histologic findings, an atypical distribution of metastases, or lack of expected response to treatment. For a significant subset of NENs (10%), traditional diagnostic evaluation is unable to determine a primary tumor site using histomorphology and IHC stains. Gene expression profiling (GEP) of either mRNA or microRNA is the technique utilized in the three commercially available platforms that provide a prediction of tumor type in cases of diagnostic uncertainty of CUPs, including those with neuroendocrine differentiation. Case Series Report: Here we present four cases of NENs, where the diagnosis based upon histomorphological and IHC features presented a unique challenge that ultimately benefited from the integration of molecular tumor classification using the validated assay. CancerTYPE ID by Biotheranostics is based on a quantitative RT-PCR assay that uses a computational algorithm to measure the collective expression of 92 genes (87 cancer-related genes and 5 control genes). This case series reports five appropriate clinical scenarios that highlight the utility of a GEP-based assay to effectively provide a molecular tumor classification to identify NEN subtypes and tumor primary site of origin.
These cases demonstrated that the CancerTYPE ID test was able to resolve challenging diagnoses for primary and metastatic NENs. These cases emphasize the clinical need of utilizing a GEP-based assay for determining the anatomic site of origin and NEN subtyping, both essential for the appropriate clinical management of NENs.
背景/目的:癌症原发灶不明(CUP)在美国所有新诊断癌症中占 3-5%,这是一种推测性的、非确定性的诊断,当在详尽的诊断评估后仍无法确定肿瘤原发部位时,就会做出 CUP 的诊断,包括神经内分泌肿瘤(NENs)。CUP 的特点是存在各种难以调和的发现,包括免疫组织化学(IHC)染色不明确、未分化的形态表型、多种癌症病史、临床表型与组织学发现不一致、转移灶的非典型分布或对治疗无预期反应。对于相当一部分 NENs(10%),传统的诊断评估无法通过组织形态学和 IHC 染色确定肿瘤原发部位。使用 mRNA 或 microRNA 的基因表达谱(GEP)是三种商业上可用的平台中使用的技术,这些平台为 CUP 中诊断不确定的病例(包括具有神经内分泌分化的病例)提供了肿瘤类型的预测。病例系列报告:在这里,我们介绍了四个 NEN 病例,这些病例基于组织形态学和 IHC 特征的诊断提出了一个独特的挑战,最终受益于使用经过验证的检测方法进行分子肿瘤分类的整合。Biotheranostics 的 CancerTYPE ID 基于一种定量 RT-PCR 检测方法,该方法使用计算算法来测量 92 个基因(87 个癌症相关基因和 5 个对照基因)的集体表达。本病例系列报告了五个适当的临床情况,突出了基于 GEP 的检测在有效提供分子肿瘤分类以识别 NEN 亚型和肿瘤原发部位方面的应用。
这些病例表明,CancerTYPE ID 检测能够解决原发性和转移性 NEN 的具有挑战性的诊断。这些病例强调了使用基于 GEP 的检测来确定 NEN 亚型和原发部位的临床需求,这对于 NEN 的适当临床管理都是必不可少的。