ABSTRACT
BACKGROUND: Whether timing of sentinel lymph node biopsy (SLNB) in cutaneous melanoma improves survival is not yet clear. The aim of this study was to investigate if the timing of SLNB influences long-term melanoma mortality. METHODS: A 10-year retrospective cohort study was conducted on 748 cutaneous melanoma patients who underwent excision of the SLN. Hazard ratios and 95% confidence intervals were estimated from Cox proportional hazards models. RESULTS: After adjusting for sex, age, Breslow thickness, mitotic rate, ulceration, and histologic type, patients who underwent early SLNB (≤30 days) and resulted positive on final pathology had a 3 times decreased risk of melanoma mortality (hazard ratio = .29; 95%confidence interval = .11 to .77) in comparison to patients who underwent delayed SLNB (≥31 days) and resulted positive on final pathology. CONCLUSIONS: Our findings suggest that early SLNB (≤30 days) improves melanoma survival.
Subject(s)
Cause of Death , Melanoma/mortality , Melanoma/pathology , Sentinel Lymph Node Biopsy/methods , Skin Neoplasms/mortality , Skin Neoplasms/pathology , Adult , Aged , Cohort Studies , Confidence Intervals , Disease-Free Survival , Female , Humans , Kaplan-Meier Estimate , Male , Melanoma/surgery , Middle Aged , Neoplasm Invasiveness/pathology , Neoplasm Staging , Prognosis , Proportional Hazards Models , Retrospective Studies , Sentinel Lymph Node/pathology , Skin Neoplasms/surgery , Statistics, Nonparametric , Survival Analysis , Time Factors , Treatment Outcome , Melanoma, Cutaneous MalignantABSTRACT
Understanding differences in survival across distinct subgroups of melanoma patients may help with the choice of types of therapy. Tumor-infiltrating lymphocytes (TILs) are considered a manifestation of the host immune response to tumor, but the role of TILs in melanoma mortality is controversial. The aim of this study was to investigate independent prognostic factors for melanoma mortality. We carried out a 10-year cohort study on 4133 melanoma patients from the same geographic area (Lazio) with primary cutaneous melanoma diagnosed between January 1998 and December 2008. The probability of survival was estimated using Kaplan-Meier methods and prognostic factors were evaluated by multivariate analysis (Cox proportional hazards model). The 10-year survival rate for melanoma decreased with increasing Breslow thickness (Pfor trend<0.0001) and with age (Pfor trend<0.0001) whereas survival increased with increasing levels of TILs (Pfor trend=0.0001). The 10-year survival rate for melanoma divided into TILs intensity as scanty, moderate, and marked was 88.0, 92.2, and 97.0%, respectively. In the multivariate Cox model, the presence of high levels of TILs in primary invasive melanomas was associated with a lower risk of melanoma death (hazard ratio 0.32; 95% confidence interval 0.13-0.82) after controlling for sex, age, Breslow thickness, histological type, mitotic rate, and ulceration. After including lymph node status in the multivariate analysis, the protective effect of marked TILs on melanoma mortality remained (hazard ratio 0.37; 95% confidence interval 0.15-0.94). The results of this study suggest that the immune microenvironment affects melanoma survival.
Subject(s)
Lymphocytes, Tumor-Infiltrating/immunology , Melanoma/immunology , Melanoma/mortality , Skin Neoplasms/immunology , Skin Neoplasms/mortality , Adult , Aged , Aged, 80 and over , Cohort Studies , Female , Humans , Lymph Nodes/immunology , Lymph Nodes/pathology , Lymphatic Metastasis , Male , Melanoma/pathology , Middle Aged , Multivariate Analysis , Prognosis , Proportional Hazards Models , Sentinel Lymph Node Biopsy , Skin Neoplasms/pathology , Survival Rate , Young Adult , Melanoma, Cutaneous MalignantABSTRACT
Simple and reliable tools for identifying patients at high risk for melanoma with preventive measures have important public health implications. An individual risk score for cutaneous melanoma was constructed and externally validated. With the summary coefficients of the risk factors for cutaneous melanoma, derived from a meta-analysis, a melanoma risk score was tested in an Italian population and externally validated in a Brazilian population. Common nevi, skin and hair color, freckles, and sunburns in childhood were the variables included in the final predictive model. The discriminatory ability of the models was assessed by the receiver operating characteristic (ROC) curve. The performance of the model was also evaluated by conducting an external validation. The area under the curve (AUC) of the candidate model was 0.79 (95% confidence interval: 0.75-0.82). The same model, when applied in the Brazilian population, presented an AUC of 0.79 (95% confidence interval: 0.70-0.86). At the cut-off level of 3 and more, 89 and 80% of the melanoma cases were correctly classified as 'at risk for melanoma' in the Italian and in the Brazilian populations, respectively. The risk model is a simple tool that identifies patients for preventive measures and may be used with reasonable confidence in different populations. The risk model may help family doctors in referring patients to dermatological clinics and thus improve early diagnosis.
