Literature DB >> 27372860

Microsatellite instability as a predictive factor for immunotherapy in malignant melanoma.

Ondrej Kubecek1, Petronela Trojanova1, Veronika Molnarova1, Jindrich Kopecky2.   

Abstract

Immunotherapy has attracted attention as a novel treatment modality for malignant melanoma. Although the use of immunotherapy in metastatic melanoma has shown promising results, there remains a lack of predictive biomarkers indicating treatment benefit from immunotherapy. There is growing evidence suggesting that microsatellite instability (MSI) as a product of DNA mismatch repair deficiency, may be one of possible predictive markers in malignant melanoma. It has been proposed that the immunogenicity of some tumors might be determined by mutational heterogeneity and could be the key to the success of immune therapies. This is also supported by the fact that tumors with the highest amount of somatic mutations, such as malignant melanoma have showed positive results with immune checkpoint inhibitors. There are promising data regarding the association between MSI status and immunogenicity from studies with colorectal cancer, where MSI is linked to improved prognosis compared to microsatellite stable cancers. MSI in colon cancer is linked to a significant increase of immunocompetent cells responsible for the antitumor activity - CD3(+), CD8(+), CD45RO(+), and T-bet(+) lymphocytes and decrease of inhibition factors such as Foxp3, IL-6, IL-17, and TGF-β. On the other hand, taking into account the progression-dependent accumulation of somatic mutations in MSI tumors and consequent high levels of neo-antigens, the possible drug resistance of MSI tumors to traditional treatment, and the presence of inhibition checkpoints within the MSI tumors, there is a solid rationale for the use of novel therapeutic strategies such as immunotherapy in MSI melanomas. We presume that the MSI phenotype in malignant melanoma might be helpful to identify patients, who would be more likely to profit from immunotherapy than from conventional therapy.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27372860     DOI: 10.1016/j.mehy.2016.05.023

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  7 in total

1.  Assessment of mismatch repair deficiency, CDX2, beta-catenin and E-cadherin expression in colon cancer: molecular characteristics and impact on prognosis and survival - an immunohistochemical study.

Authors:  Carmen Stanca Melincovici; Adina Bianca Boşca; Sergiu Şuşman; Ancuţa Cutaş; Mariana Mărginean; Aranka Ilea; Ioana Maria Moldovan; Elena Mihaela Jianu; Maria Adriana Neag; Adriana Elena Bulboacă; Carmen Mihaela Mihu
Journal:  Rom J Morphol Embryol       Date:  2020 Jul-Sep       Impact factor: 1.033

Review 2.  Clinical Significance and Prognostic Relevance of Microsatellite Instability in Sporadic Colorectal Cancer Patients.

Authors:  Angelika Copija; Dariusz Waniczek; Andrzej Witkoś; Katarzyna Walkiewicz; Ewa Nowakowska-Zajdel
Journal:  Int J Mol Sci       Date:  2017-01-06       Impact factor: 5.923

3.  Activity of PD1 inhibitor therapy in advanced sarcoma: a single-center retrospective analysis.

Authors:  Dionisia Quiroga; David A Liebner; Jennifer S Philippon; Sarah Hoffman; Yubo Tan; James L Chen; Scott Lenobel; Paul E Wakely; Raphael Pollock; Gabriel Tinoco
Journal:  BMC Cancer       Date:  2020-06-05       Impact factor: 4.430

Review 4.  Clinically relevant prognostic and predictive markers for immune-checkpoint-inhibitor (ICI) therapy in non-small cell lung cancer (NSCLC).

Authors:  Wolfgang M Brueckl; Joachim H Ficker; Gloria Zeitler
Journal:  BMC Cancer       Date:  2020-12-03       Impact factor: 4.430

Review 5.  Integrating Molecular Biomarker Inputs Into Development and Use of Clinical Cancer Therapeutics.

Authors:  Anna D Louie; Kelsey Huntington; Lindsey Carlsen; Lanlan Zhou; Wafik S El-Deiry
Journal:  Front Pharmacol       Date:  2021-10-19       Impact factor: 5.810

6.  Identification of a Tumor Cell Associated Type I IFN Resistance Gene Expression Signature of Human Melanoma, the Components of Which Have a Predictive Potential for Immunotherapy.

Authors:  Andrea Ladányi; Erzsébet Rásó; Tamás Barbai; Laura Vízkeleti; László G Puskás; Szonja A Kovács; Balázs Győrffy; József Tímár
Journal:  Int J Mol Sci       Date:  2022-02-28       Impact factor: 5.923

Review 7.  Microsatellite Instability: From the Implementation of the Detection to a Prognostic and Predictive Role in Cancers.

Authors:  Martina Amato; Renato Franco; Gaetano Facchini; Raffaele Addeo; Fortunato Ciardiello; Massimiliano Berretta; Giulia Vita; Alessandro Sgambato; Sandro Pignata; Michele Caraglia; Marina Accardo; Federica Zito Marino
Journal:  Int J Mol Sci       Date:  2022-08-05       Impact factor: 6.208

  7 in total

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