Park Eunhyang, Han Hyunho, Choi Sung-Eun, Park Hyunjin, Woo Ha-Young, Jang Mi, Shim Hyo-Sup, Hwang Sohyun, Kang Haeyoun, Cho Nam-Hoon
Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea.
Department of Urology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea.
Diagnostics (Basel). 2022 Feb 24;12(3):579. doi: 10.3390/diagnostics12030579.
High-grade serous carcinoma (HGSCa) of the ovary is featured by gene mutation. Missense or nonsense mutation types accompany most cases of HGSCa that correlate well with immunohistochemical (IHC) staining results-an all (missense) or none (nonsense) pattern. However, some IHCs produce subclonal or mosaic patterns from which TP53 mutation types, including the wild type of the gene, cannot be clearly deduced. We analyzed a total of 236 cases of ovarian HGSCa and tumors of other histology by matching the results of p53 IHC staining and targeted next-generation sequencing (TruSight Tumor 170 panel). Ambiguous IHCs that do not belong to the conventional "all or none" groups were reviewed to distinguish the true wild type (WT) from potentially pathogenic subclonal or mosaic patterns. There were about 9% of sequencing-IHC mismatching cases, which were enriched by the p53 c-terminal encoding nuclear localization signal and oligomerization domain, in which the subcellular locations of p53 protein were affected. Indeed, mutations in the oligomerization domain of the p53 protein frequently revealed an unmatched signal or cytosolic staining (L289Ffs57 (Ins), and R342). We conclude that both mutation types and IHC patterns of p53 are important sources of information to provide a precise diagnosis of HGSCa.
卵巢高级别浆液性癌(HGSCa)以基因突变为特征。错义或无义突变类型伴随大多数HGSCa病例,这与免疫组化(IHC)染色结果密切相关——全(错义)或无(无义)模式。然而,一些免疫组化产生亚克隆或镶嵌模式,从中无法明确推断TP53突变类型,包括该基因的野生型。我们通过匹配p53免疫组化染色结果和靶向二代测序(TruSight肿瘤170检测板)分析了总共236例卵巢HGSCa和其他组织学肿瘤。对不属于传统“全或无”组的模糊免疫组化结果进行了审查,以区分真正的野生型(WT)与潜在致病性亚克隆或镶嵌模式。约有9%的测序-免疫组化不匹配病例,这些病例在p53编码核定位信号和寡聚化结构域的c末端富集,其中p53蛋白的亚细胞定位受到影响。事实上,p53蛋白寡聚化结构域的突变经常显示出不匹配信号或胞质染色(L289Ffs57(插入)和R342)。我们得出结论,p53的突变类型和免疫组化模式都是为HGSCa提供精确诊断的重要信息来源。