Association of CLDN18 Protein Expression with Clinicopathological Features and Prognosis in Advanced Gastric and Gastroesophageal Junction Adenocarcinomas

克洛丹 医学 免疫组织化学 癌症 MSH6型 内科学 MSH2 腺癌 紧密连接 MLH1 胃食管交界处 病理 结直肠癌 生物 DNA错配修复 细胞生物学
作者
Antonio Pellino,Stefano Brignola,Erika Riello,Monia Niero,Sabina Murgioni,Maria Guido,Floriana Nappo,Gianluca Businello,Marta Sbaraglia,Francesca Bergamo,Gaya Spolverato,Salvatore Pucciarelli,Stefano Merigliano,Pierluigi Pilati,Francesco Cavallin,Stefano Realdon,Fabio Farinati,Angelo Paolo Dei Tos,Vittorina Zagonel,Sara Lonardi,Fotios Loupakis,Matteo Fassan
出处
期刊:Journal of Personalized Medicine [MDPI AG]
卷期号:11 (11): 1095-1095 被引量:81
标识
DOI:10.3390/jpm11111095
摘要

The tight junction protein claudin-18 (CLDN18), is often expressed in various cancer types including gastric (GC) and gastroesophageal adenocarcinomas (GECs). In the last years, the isoform CLDN18.2 emerged as a potential drug target in metastatic GCs, leading to the development of monoclonal antibodies against this protein. CLDN18.2 is the dominant isoform of CLDN18 in normal gastric and gastric cancer tissues. In this work, we evaluated the immunohistochemical (IHC) profile of CLDN18 and its correlation with clinical and histopathological features including p53, E-cadherin, MSH2, MSH6, MLH1, PMS2, HER2, EBER and PD-L1 combined positive score, in a large real-world and mono-institutional series of advanced GCs (n = 280) and GECs (n = 70). The association of IHC results with survival outcomes was also investigated. High membranous CLDN18 expression (2+ and 3+ intensity ≥75%) was found in 117/350 (33.4%) samples analyzed. CLDN18 expression correlated with age <70 (p = 0.0035), positive EBV status (p = 0.002), high stage (III, IV) at diagnosis (p = 0.003), peritoneal involvement (p < 0.001) and lower incidence of liver metastases (p = 0.013). CLDN18 did not correlate with overall survival. The predictive value of response of CLDN18 to targeted agents is under investigation in several clinical trials and further studies will be needed to select patients who could benefit from these therapies.

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