5 years ago

PD-L1 expression in neuroendocrine tumors of the lung

Various tumors express programmed cell death ligand 1 (PD-L1), an immune checkpoint ligand, the expression of which correlates with certain effects of anti-programmed cell death 1 (PD-1)/PD-L1 drugs. The aim of this study was to assess the frequency of PD-L1 expression in each of the types of neuroendocrine tumors of the lung. Methods The subjects enrolled in this study were patients who had been diagnosed with neuroendocrine tumors of the lung and had been treated at the National Cancer Center Hospital (Tokyo, Japan) between 1982 and 2010. We performed immunohistochemical analysis on a tissue microarray (TMA) of the surgical specimens using the validated PD-L1 antibody clone, E1L3N. Tumor PD-L1 expression scores were calculated semiquantitatively (staining intensity [0–3]×stained area [0–100%]). A score of 1 was used as a cut-off to determine the presence or absence of PD-L1 expression. Results Among the 227 patients included in this study, the patient demographics were as follows: median age (range), 65 years (19–84); sex (male/female), 168/59; pStage (IA, IB, IIA, IIB, IIIA, IIIB, IV): 79, 36, 25, 29, 47, 6, 5, respectively; and histology was typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC), small cell lung cancer (SCLC): 46, 6, 106, 69, respectively. The numbers (proportions) of PD-L1-expression tumors were as follows: TC/AC/LCNEC/SCLC, 0/0/11 (10.4%)/4 (5.8%). Conclusions PD-L1 expression was apparent in 10.4% of LCNEC and 5.8% of SCLC tumors, and was not observed in carcinoid tumors.

Publisher URL: www.sciencedirect.com/science

DOI: S016950021730260X

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.