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  • Oral presentation
  • Open Access

Tumor-infiltrating lymphocytes predict cutaneous melanoma survival

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Journal of Translational Medicine201513 (Suppl 1) :O9

  • Published:


  • Melanoma
  • Melanoma Patient
  • Host Immune Response
  • Cutaneous Melanoma
  • Mitotic Rate


Tumor-infiltrating lymphocytes (TILs) is considered a manifestation of the host immune response to tumor, but the role of TILs on melanoma mortality is controversial. Therefore, the aim of this study was to investigate the role of TILs on melanoma mortality, controlling for all known histological prognostic parameters.

Materials and methods

We conducted a 10-year cohort study among 4143 patients from the same geographic area (Lazio) with primary cutaneous melanoma diagnosed between January 1998 and December 2008. Survival probability was determined by Kaplan–Meier estimates, and prognostic factors were evaluated by multivariate analysis (Cox proportional hazards model).


Survival decreased with increasing age (P for trend < 0.001) and Breslow thickness (P for trend < 0.001). In the multivariate Cox model, the presence of high levels of tumour infiltrating immune cells in primary invasive melanomas was associated with lower risk of melanoma death (RR: 0.32; 95%CI:0.13-0.82, P for trend <0.001), after controlling for sex, age, breslow thickness, histological type, mitotic rate and ulceration.


These results suggest that immune microenvironment affects melanoma survival. Understanding differences in survival across distinct subgroups of melanoma patients may help choosing types of therapy.

Authors’ Affiliations

Epidemiology Unit, IDI-IRCCS, Rome, Italy
Pathology Unit, IDI-IRCCS, Rome, Italy
Oncology Unit , IDI-IRCCS, Rome, Italy
Department of Epidemiology of the Regional Health Service, Rome, Italy
Medical Direction, IDI-IRCCS, Rome, Italy


© Fortes et al; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.