Back to Search
Start Over
Tumor endothelium-derived PODXL correlates with immunosuppressive microenvironment and poor prognosis in cervical cancer patients receiving radiotherapy or chemoradiotherapy.
- Source :
- Biomarker Research; 9/18/2024, Vol. 12 Issue 1, p1-7, 7p
- Publication Year :
- 2024
-
Abstract
- Podocalyxin-like protein (PODXL) is known to originate from tumor cells in several cancers; however, which cell type it is expressed in, whether and how it may contribute to tumor progression after radiotherapy or chemoradiotherapy in cervical cancer (CC) remain unknown. In this study, we investigated these issues using a cohort of 180 immune stain data, single-cell RNA sequencing (scRNA-seq) data of 29,453 cells, and bulk RNA sequencing data from 187 cervical cancer samples treated with radiotherapy or chemoradiotherapy. ScRNA-seq analysis revealed that PODXL was predominantly expressed in tumor endothelial cells (TECs) of CC, which was corroborated by tumor section staining. Moreover, the PODXL expression level was negatively associated with progression-free survival and overall survival of 180 CC patients receiving radiotherapy or chemoradiotherapy (both p < 0.001). Furthermore, compared with PODXL<superscript>low</superscript> TECs, PODXL<superscript>high</superscript> TECs exhibited a diminished anti-tumor immune response and enhanced tumor-promoting features characteristics. In addition, PODXL over-expression was also found to be negatively associated with immune response and indicated poor survival in bulk RNA sequencing data of CC treated with radiotherapy or chemoradiotherapy. These results underscore the role of PODXL in CC, suggesting it as a promising target and prognostic marker for patients treated with radiotherapy or chemoradiotherapy. [ABSTRACT FROM AUTHOR]
- Subjects :
- PROGNOSIS
RNA sequencing
CANCER prognosis
OVERALL survival
CANCER invasiveness
Subjects
Details
- Language :
- English
- ISSN :
- 20507771
- Volume :
- 12
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Biomarker Research
- Publication Type :
- Academic Journal
- Accession number :
- 179711196
- Full Text :
- https://doi.org/10.1186/s40364-024-00655-0