| Literature DB >> 35110423 |
Se-Young Park1,2,3, Sun Kyoung Lee3, Mihwa Lim3, Bomi Kim3, Byeong-Oh Hwang1,2,3, Eunae Sandra Cho2,4,5, Xianglan Zhang5,6, Kyung-Soo Chun7, Won-Yoon Chung1,2,3,5, Na-Young Song1,2,3.
Abstract
Oral squamous cell carcinoma (OSCC) is mostly diagnosed at an advanced stage, with local and/or distal metastasis. Thus, locoregional and/or local control of the primary tumor is crucial for a better prognosis in patients with OSCC. Platelets have long been considered major players in cancer metastasis. Traditional antiplatelet agents, such as aspirin, are thought to be potential chemotherapeutics, but they need to be used with caution because of the increased bleeding risk. Podoplanin (PDPN)-expressing cancer cells can activate platelets and promote OSCC metastasis. However, the reciprocal effect of platelets on PDPN expression in OSCC has not been investigated. In this study, we found that direct contact with platelets upregulated PDPN and integrin β1 at the protein level and promoted invasiveness of human OSCC Ca9.22 cells that express low levels of PDPN. In another human OSCC HSC3 cell line that express PDPN at an abundant level, silencing of the PDPN gene reduced cell invasiveness. Analysis of the public database further supported the co-expression of PDPN and integrin β1 and their increased expression in metastatic tissues compared to normal and tumor tissues of the oral cavity. Taken together, these data suggest that PDPN is a potential target to regulate platelet-tumor interaction and metastasis for OSCC treatment, which can overcome the limitations of traditional antiplatelet drugs.Entities:
Keywords: Direct contact; Metastasis; Oral cancer; Platelets; Podoplanin
Year: 2022 PMID: 35110423 PMCID: PMC9047494 DOI: 10.4062/biomolther.2021.167
Source DB: PubMed Journal: Biomol Ther (Seoul) ISSN: 1976-9148 Impact factor: 4.634
Fig. 1Co-expression of PDPN and CD42b in human OSCC tumor sections. (A) UCSC Xena browser-based comparative analysis of PDPN gene expression in normal solid tissue (red) and primary tumor (blue) samples in GDC TCGA HNSC cohort. Statistical significance was assessed using one-way ANOVA. ****p<0.0001. (B) H&E (top) and IHC staining of PDPN (middle) and CD42b (bottom) in human OSCC tissues from three different patients. Representative images are shown.
Fig. 2Direct contact with platelets induces PDPN expression and invasiveness in Ca9.22 cells. (A) Experimental scheme. For direct co-culture, platelets isolated from ICR mice were directly added to Ca9.22 cells. After incubation for 24 h, the culture medium was transferred to newly prepared Ca9.22 cells. (B, C) Immunoblot analysis (B) of PDPN and integrin β1 (ITGB1) expression in Ca9.22 cells co-cultured with platelets or incubated with conditioned medium as indicated. β-actin was used as a loading control for immunoblotting. Band intensities were normalized to the actin level and are presented as bar graphs (C). ns, not significant; *p<0.05. (D) Ca9.22 cells were seeded in the insert 2 h prior to addition of platelets, and then allowed to invade for 24 h. The invaded cells were stained and counted. The bar graph presents the quantitative data of the invasion assay (top). *p<0.05. Representative images are displayed (bottom).
Fig. 3Correlation between PDPN and ITGB1 expression and their involvement in metastasis. (A) Co-expression analyses of PDPN and ITGB1 were performed in the GDC TCGA HNSC cohort using the UCSC Xena browser. (B, C) Violin plots of PDPN (B) and ITGB1 (C) gene expression in the oral cancer comparing normal (green), tumor (red), and metastatic (yellow) tissues from the gene chip data at TNMplot.com. Statistical significance was determined using Kruskal-Wallis and Dunn’s post hoc tests. (D) HSC3 cells transfected with si-control or si-PDPN (20 nM) for 48 h were seeded in the insert, and then allowed to invade for 24 h. The invaded cells were stained and counted. The bar graph presents the quantitative data of the invasion assay (top). ****p<0.0001. Representative images are displayed (bottom).
Fig. 4Prognostic significance of PDPN and ITGB1 expression. (A, B) Kaplan-Meier plots showing the overall survival (OS) of the pan-cancer cohorts in TCGA dataset. The OS group stratified by PDPN-high and -low patient groups (A); The OS group stratified by ITGB1-high and -low patient groups (B).