| Literature DB >> 26990817 |
Casey J Rowe1,2, Fiona Tang3, Maria Celia B Hughes4, Mathieu P Rodero2, Maryrose Malt4, Duncan Lambie1,5, Andrew Barbour6, Nicholas K Hayward7, B Mark Smithers6, Adele C Green4,8, Kiarash Khosrotehrani1,2.
Abstract
Sentinel lymph node status is a major prognostic marker in locally invasive cutaneous melanoma. However, this procedure is not always feasible, requires advanced logistics and carries rare but significant morbidity. Previous studies have linked markers of tumour biology to patient survival. In this study, we aimed to combine the predictive value of established biomarkers in addition to clinical parameters as indicators of survival in addition to or instead of sentinel node biopsy in a cohort of high-risk melanoma patients. Patients with locally invasive melanomas undergoing sentinel lymph node biopsy were ascertained and prospectively followed. Information on mortality was validated through the National Death Index. Immunohistochemistry was used to analyse proteins previously reported to be associated with melanoma survival, namely Ki67, p16 and CD163. Evaluation and multivariate analyses according to REMARK criteria were used to generate models to predict disease-free and melanoma-specific survival. A total of 189 patients with available archival material of their primary tumour were analysed. Our study sample was representative of the entire cohort (N = 559). Average Breslow thickness was 2.5 mm. Thirty-two (17%) patients in the study sample died from melanoma during the follow-up period. A prognostic score was developed and was strongly predictive of survival, independent of sentinel node status. The score allowed classification of risk of melanoma death in sentinel node-negative patients. Combining clinicopathological factors and established biomarkers allows prediction of outcome in locally invasive melanoma and might be implemented in addition to or in cases when sentinel node biopsy cannot be performed.Entities:
Keywords: CD163; biomarker; melanoma; prognosis; sentinel node
Mesh:
Substances:
Year: 2016 PMID: 26990817 DOI: 10.1002/ijc.30085
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396