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Prognostic and predictive value of CD163 expression and the CD163/CD68 expression ratio for response to adjuvant chemotherapy in patients with surgically resected lung squamous cell carcinoma.
- Source :
-
Thoracic Cancer . Jul2023, Vol. 14 Issue 20, p1911-1920. 10p. - Publication Year :
- 2023
-
Abstract
- Background: Macrophages infiltrating the tumor microenvironment are defined as tumor‐associated macrophages (TAMs). TAMs can be polarized into different phenotypes, that is, proinflammatory M1 macrophages or anti‐inflammatory M2 macrophages. Particularly, M2 macrophages promote angiogenesis, wound healing, and tumor growth. This study aimed to evaluate whether M2 TAMs can serve as a useful marker to predict prognosis and benefit from adjuvant chemotherapy in patients with surgically resected lung squamous cell carcinomas (SCCs). Methods: We examined 104 patients with SCC. Tissue microarrays were constructed, and the density of TAMs was analyzed by immunohistochemistry for expression of CD68 and CD163. The relationship between CD68 and CD163 expression and the CD163/CD68 expression rate and clinicopathological characteristics including patient outcomes were investigated. In addition, propensity score matching (PSM) analysis was conducted to test the hypothesis that these cells significantly influenced chemotherapy responses. Results: Univariate analysis revealed that pathological stage, CD163 expression, and the CD163/CD68 expression ratio were significant prognostic factors. Multivariate analysis showed that these factors were all independent prognostic factors. Thirty‐four pairs were determined by using PSM analysis. Patients with a low CD163/CD68 expression ratio benefited more from adjuvant chemotherapy than those with a high ratio. Conclusion: We suggest that M2 TAMs may be a useful marker to predict prognosis and differential benefit from adjuvant chemotherapy in patients with surgically resected lung SCCs. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17597706
- Volume :
- 14
- Issue :
- 20
- Database :
- Academic Search Index
- Journal :
- Thoracic Cancer
- Publication Type :
- Academic Journal
- Accession number :
- 164914573
- Full Text :
- https://doi.org/10.1111/1759-7714.14937