Literature DB >> 24914691

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

Chiara Camisaschi1, Viviana Vallacchi, Chiara Castelli, Licia Rivoltini, Monica Rodolfo.   

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.

Entities:  

Keywords:  immunotherapy; melanoma; prognosis; sentinel node; tumor-infiltrating lymphocytes

Mesh:

Year:  2014        PMID: 24914691     DOI: 10.1586/14737159.2014.928206

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  12 in total

1.  Immunomodulatory Activity of Nivolumab in Metastatic Renal Cell Carcinoma.

Authors:  Toni K Choueiri; Mayer N Fishman; Bernard Escudier; David F McDermott; Charles G Drake; Harriet Kluger; Walter M Stadler; Jose Luis Perez-Gracia; Douglas G McNeel; Brendan Curti; Michael R Harrison; Elizabeth R Plimack; Leonard Appleman; Lawrence Fong; Laurence Albiges; Lewis Cohen; Tina C Young; Scott D Chasalow; Petra Ross-Macdonald; Shivani Srivastava; Maria Jure-Kunkel; John F Kurland; Jason S Simon; Mario Sznol
Journal:  Clin Cancer Res       Date:  2016-05-11       Impact factor: 12.531

2.  A Leukocyte Infiltration Score Defined by a Gene Signature Predicts Melanoma Patient Prognosis.

Authors:  Yanding Zhao; Evelien Schaafsma; Ivan P Gorlov; Eva Hernando; Nancy E Thomas; Ronglai Shen; Mary Jo Turk; Marianne Berwick; Christopher I Amos; Chao Cheng
Journal:  Mol Cancer Res       Date:  2018-08-31       Impact factor: 5.852

3.  Immunophenotyping of Stage III Melanoma Reveals Parameters Associated with Patient Prognosis.

Authors:  Nicolas Jacquelot; María Paula Roberti; David P Enot; Sylvie Rusakiewicz; Michaela Semeraro; Sarah Jégou; Camila Flores; Lieping Chen; Byoung S Kwon; Christophe Borg; Benjamin Weide; François Aubin; Stéphane Dalle; Holbrook Kohrt; Maha Ayyoub; Guido Kroemer; Aurélien Marabelle; Andréa Cavalcanti; Alexander Eggermont; Laurence Zitvogel
Journal:  J Invest Dermatol       Date:  2016-01-29       Impact factor: 8.551

4.  Molecular analysis of primary melanoma T cells identifies patients at risk for metastatic recurrence.

Authors:  Wiebke Pruessmann; Julie Rytlewski; James Wilmott; Richard A Scolyer; Thomas S Kupper; Martin C Mihm; Grace H Attrill; Beatrice Dyring-Andersen; Paul Fields; Qian Zhan; Andrew J Colebatch; Peter M Ferguson; John F Thompson; Klaus Kallenbach; Erik Yusko; Rachael A Clark; Harlan Robins
Journal:  Nat Cancer       Date:  2020-01-20

5.  microRNA Expression in Sentinel Nodes from Progressing Melanoma Patients Identifies Networks Associated with Dysfunctional Immune Response.

Authors:  Viviana Vallacchi; Chiara Camisaschi; Matteo Dugo; Elisabetta Vergani; Paola Deho; Ambra Gualeni; Veronica Huber; Annunziata Gloghini; Andrea Maurichi; Mario Santinami; Marialuisa Sensi; Chiara Castelli; Licia Rivoltini; Monica Rodolfo
Journal:  Genes (Basel)       Date:  2016-12-14       Impact factor: 4.096

6.  Evaluation of T cell infiltration in matched biopsy and nephrectomy samples in renal cell carcinoma.

Authors:  Haris Zahoor; Paul G Pavicic; Christopher Przybycin; Jennifer Ko; Lisa Stephens; Tomas Radivoyevitch; Xuefei Jia; Claudia Marcela Diaz-Montero; James Finke; Patricia A Rayman; Timothy D Gilligan; Petros Grivas; Moshe Ornstein; Jorge A Garcia; Brian I Rini
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.817

7.  Can the plasma PD-1 levels predict the presence and efficiency of tumor-infiltrating lymphocytes in patients with metastatic melanoma?

Authors:  Lorena Incorvaia; Giuseppe Badalamenti; Gaetana Rinaldi; Juan Lucio Iovanna; Daniel Olive; Mirna Swayden; Lidia Terruso; Bruno Vincenzi; Fabio Fulfaro; Viviana Bazan; Antonio Russo; Daniele Fanale
Journal:  Ther Adv Med Oncol       Date:  2019-05-13       Impact factor: 8.168

Review 8.  Programmed Death Ligand 1 (PD-L1) as a Predictive Biomarker for Pembrolizumab Therapy in Patients with Advanced Non-Small-Cell Lung Cancer (NSCLC).

Authors:  Lorena Incorvaia; Daniele Fanale; Giuseppe Badalamenti; Nadia Barraco; Marco Bono; Lidia Rita Corsini; Antonio Galvano; Valerio Gristina; Angela Listì; Salvatore Vieni; Stefania Gori; Viviana Bazan; Antonio Russo
Journal:  Adv Ther       Date:  2019-08-20       Impact factor: 3.845

9.  A four-gene signature predicts survival and anti-CTLA4 immunotherapeutic responses based on immune classification of melanoma.

Authors:  Ying Mei; Mei-Ju May Chen; Han Liang; Li Ma
Journal:  Commun Biol       Date:  2021-03-22

Review 10.  Potential Reasons for Unresponsiveness to Anti-PD1 Immunotherapy in Young Patients with Advanced Melanoma.

Authors:  Devayani Machiraju; Sarah Schäfer; Jessica C Hassel
Journal:  Life (Basel)       Date:  2021-11-30
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