Premium
Hu antigen R (HuR) heterogeneous expression quantification as a prognostic marker of melanoma
Author(s) -
Liaudet Nicolas,
Fernandez Marylise,
Fontao Lionel,
Kaya Gürkan,
Merat Rastine
Publication year - 2018
Publication title -
journal of cutaneous pathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 75
eISSN - 1600-0560
pISSN - 0303-6987
DOI - 10.1111/cup.13119
Subject(s) - immunohistochemistry , breslow thickness , melanoma , predictive marker , medicine , oncology , pathology , stage (stratigraphy) , antigen , cancer research , biology , cancer , immunology , sentinel lymph node , paleontology , breast cancer
Background Prognostic markers for melanoma, particularly for stage II disease, are needed for the risk‐benefit evaluation of future adjuvant therapies. The mainly nuclear RNA‐binding protein human antigen R (HuR) regulates the protein expression of thousands of mRNAs, its own heterogeneous expression could therefore reflect tumor heterogeneity and plasticity. Here, we evaluate its quantification in primary melanoma as a marker of metastatic outcome. Methods We conducted an immunohistochemistry‐based automated quantification of HuR nuclear expression heterogeneity in primary melanomas, most with Breslow thickness ≥ 1 mm and calculated the dimensionless fourth moment, that is, the kurtosis of HuR (HuR K) expression distribution. Twelve tumors from patients with no metastatic disease were compared to a similar number of tumors from patients who had metastatic disease at 2 years follow up. Results HuR K value appeared significantly higher in the non‐metastatic group comparatively to the metastatic group ( P = 2.84 × 10 −3 , 1‐tailed Wilcoxon rank‐sum test). Moreover, compared to the Breslow thickness, HuR K value appeared as a more robust marker of metastatic outcome (respective areas under receiver operating characteristic curves 0.84 and 0.87). Conclusion Our data need confirmation on a large cohort, however strongly suggest that HuR expression heterogeneity quantification using kurtosis, could be used as a prognostic marker in melanoma.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom