Abstract
Background/Aim: Dendritic cells (DCs) are difficult to evaluate in lung regional lymph nodes because of region-specific structures, such as abundant trabeculae connecting the medullary and subcapsular sinuses, the latter of which contains few anthracotic macrophages. Therefore, DC-specific intercellular adhesion molecule-3-grabbing non-integrin (DCsign)-positive DCs and CD68-positive macrophages are unlikely to show a typical distribution. The present study therefore explored quantitative factors connecting the nodal DC morphology to the patient outcome. Materials and Methods: Lymph nodes from 34 non-small-cell lung cancer patients who underwent complete resection were used for immunohistochemical assessments of DCsign and CD68 and terminal deoxynucleotidyl transferase dUTP nick-end labeling. Preoperative patient blood samples were used for the quantitative evaluation of monocytes. Results: The nodal DCs showed a complementary distribution with macrophages, thus few DCs were seen in clusters of macrophages. DCs often presented as a mesh-like rosette that was solitary or connected to a DC cluster. DCs disappeared, and some macrophages were apoptotic when surrounded by cancer cells that have metastasized to lymph nodes. The proportional area of a DC cluster was significantly associated with the histological differentiation of cancer (p=0.013), with a higher ratio tending to lead to a better overall survival (p=0.059), and significantly so in adenocarcinoma (p=0.007). The rosette number was significantly correlated with the smoking index and blood monocyte number (p=0.013 and p=0.005, respectively). Conclusion: The nodal DC morphology appears useful as a prognostic factor and may lead to a new phase of clinicopathological studies of solid cancers.
- Dendritic cell
- DCsign
- macrophage
- non-small-cell lung cancer
- lymph node
- clinicopathological factors
- prognosis
- Received April 10, 2023.
- Revision received May 13, 2023.
- Accepted May 15, 2023.
- Copyright © 2023 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.
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