Home LiteratureArticle Details
PMID: 24914691 Published · ppublish English Editorial Research Support, Non-U.S. Gov't

Immune cells in the melanoma microenvironment hold information for prediction of the risk of recurrence and response to treatment.

Expert review of molecular diagnostics ·Vol. 14 ·No. 6 ·2014-07-00 ·Pages 643-6

Camisaschi C, Vallacchi V, Castelli C, Rivoltini L, Rodolfo M

Abstract

Melanoma is an immunogenic tumor and immunotherapy treatment has established an increase in disease-free and overall survival in melanoma patients. However, a complex network of immunosuppressive mechanisms has been demonstrated to occur at the tumor site and in locoregional immune districts, such as sentinel lymph nodes (SLNs). The interplay between tumor cells and the local microenvironment leads to a tumor-driven shaping of the immune response that results in a heterogeneous cellular and molecular composition of tumor infiltrating lymphocytes (TILs). Several studies have reported the potential prognostic value of TILs infiltrating primary tumors and the association of 'immune signature' in SLNs and in melanoma metastases with prognosis and responsiveness to immunotherapeutic approaches. However, a systematic and deeper characterization of the local immunological status of TILs and SLNs is still required to refine melanoma stage classification.

Keywords
immunotherapy melanoma prognosis sentinel node tumor-infiltrating lymphocytes
MeSH Terms
Gene Expression Regulation, Neoplastic Humans Immunotherapy Lymphocytes, Tumor-Infiltrating/immunology,pathology Melanoma/diagnosis,genetics,immunology,therapy Neoplasm Metastasis Neoplasm Recurrence, Local Prognosis Treatment Outcome Tumor Microenvironment/genetics,immunology
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Camisaschi Chiara
Unit of Immunotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Vallacchi Viviana
Castelli Chiara
Rivoltini Licia
Rodolfo Monica
Article Info
Journal
Expert review of molecular diagnostics
Abbr.
Expert Rev Mol Diagn
ISSN
1744-8352
Published
2014-07-00
Epub
2014-00-10
Pages
643-6
Language
English
Region
England
NLM ID
101120777
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com