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COX-2 expression positively correlates with PD-L1 expression in human melanoma cells

Overview of attention for article published in Journal of Translational Medicine, February 2017
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Title
COX-2 expression positively correlates with PD-L1 expression in human melanoma cells
Published in
Journal of Translational Medicine, February 2017
DOI 10.1186/s12967-017-1150-7
Pubmed ID
Authors

Gerardo Botti, Federica Fratangelo, Margherita Cerrone, Giuseppina Liguori, Monica Cantile, Anna Maria Anniciello, Stefania Scala, Crescenzo D’Alterio, Chiara Trimarco, Angela Ianaro, Giuseppe Cirino, Corrado Caracò, Maria Colombino, Giuseppe Palmieri, Stefano Pepe, Paolo Antonio Ascierto, Francesco Sabbatino, Giosuè Scognamiglio

Abstract

The resistance to PD-1/PD-L1 inhibitors for the treatment of melanoma have prompted investigators to implement novel clinical trials which combine immunotherapy with different treatment modalities. Moreover is also important to investigate the mechanisms which regulate the dynamic expression of PD-L1 on tumor cells and PD-1 on T cells in order to identify predictive biomarkers of response. COX-2 is currently investigated as a major player of tumor progression in several type of malignancies including melanoma. In the present study we investigated the potential relationship between COX-2 and PD-L1 expression in melanoma. Tumor samples obtained from primary melanoma lesions and not matched lymph node metastases were analyzed for both PD-L1 and COX-2 expression by IHC analysis. Status of BRAF and NRAS mutations was analyzed by sequencing and PCR. Co-localization of PD-L1 and COX-2 expression was analyzed by double fluorescence staining. Lastly the BRAF(V600E) A375 and NRAS(Q61R) SK-MEL-2 melanoma cell lines were used to evaluate the effect of COX-2 inhibition by celecoxib on expression of PD-L1 in vitro. BRAF(V600E/V600K) and NRAS(Q61R/Q61L) were detected in 57.8 and 8.9% of the metastatic lesions, and in 65.9 and 6.8% of the primary tumors, respectively. PD-L1 and COX-2 expression were heterogeneously expressed in both primary melanoma lesions and not matched lymph node metastases. A significantly lower number of PD-L1 negative lesions was found in primary tumors as compared to not matched metastatic lesions (P = 0.002). COX-2 expression significantly correlated with PD-L1 expression in both primary (P = 0.001) and not matched metastatic (P = 0.048) lesions. Furthermore, in melanoma tumors, cancer cells expressing a higher levels of COX-2 also co-expressed a higher level of PD-L1. Lastly, inhibition of COX-2 activity by celecoxib down-regulated the expression of PD-L1 in both BRAF(V600E) A375 and NRAS(Q61R) SK-MEL-2 melanoma cell lines. COX-2 expression correlates with and modulates PD-L1 expression in melanoma cells. These findings have clinical relevance since they provide a rationale to implement novel clinical trials to test COX-2 inhibition as a potential treatment to prevent melanoma progression and immune evasion as well as to enhance the anti-tumor activity of PD-1/PD-L1 based immunotherapy for the treatment of melanoma patients with or without BRAF/NRAS mutations.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Student > Bachelor 11 13%
Student > Master 8 9%
Student > Doctoral Student 6 7%
Professor 6 7%
Other 17 20%
Unknown 21 25%
Readers by discipline Count As %
Medicine and Dentistry 20 24%
Biochemistry, Genetics and Molecular Biology 12 14%
Pharmacology, Toxicology and Pharmaceutical Science 9 11%
Agricultural and Biological Sciences 8 9%
Immunology and Microbiology 4 5%
Other 6 7%
Unknown 26 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2017.
All research outputs
#18,538,272
of 22,959,818 outputs
Outputs from Journal of Translational Medicine
#2,964
of 4,013 outputs
Outputs of similar age
#238,182
of 311,194 outputs
Outputs of similar age from Journal of Translational Medicine
#62
of 66 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,013 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.