Literature DB >> 26620320

Prognostic and predictive biomarkers in melanoma: an update.

Mona Foth1,2, Jasper Wouters1,3, Ciaran de Chaumont1,4, Peter Dynoodt1, William M Gallagher1,5.   

Abstract

Malignant melanoma is one of the most aggressive cancers. Several new therapeutic strategies that focus on immuno- and/or targeted therapy have been developed, which have entered clinical trials or already been approved. This review provides an update on prognostic and predictive biomarkers in melanoma that may be used to improve the clinical management of patients. Prognostic markers include conventional histopathological characteristics, chromosomal aberrations, gene expression patterns and miRNA profiles. There is a trend towards multi-marker assays and whole-genome molecular screening methods to determine the prognosis of individual patients. Predictive biomarkers, including targeted components of signal transduction, developmental or transcriptional pathways, can be used to determine patient response towards a particular treatment or combination thereof. The rapid evolution of sequencing technologies and multi-marker screening will change the spectrum of patients who become candidates for therapeutic agents, and in addition create new ethical and regulatory challenges.

Entities:  

Keywords:  Melanoma; biomarker; multi-marker assay; predictive; prognostic

Mesh:

Substances:

Year:  2015        PMID: 26620320     DOI: 10.1586/14737159.2016.1126511

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


  10 in total

1.  Prospective Validation of Molecular Prognostic Markers in Cutaneous Melanoma: A Correlative Analysis of E1690.

Authors:  Mohammed Kashani-Sabet; Mehdi Nosrati; James R Miller; Richard W Sagebiel; Stanley P L Leong; Andrew Lesniak; Schuyler Tong; Sandra J Lee; John M Kirkwood
Journal:  Clin Cancer Res       Date:  2017-08-08       Impact factor: 12.531

Review 2.  The role of PI3'-lipid signalling in melanoma initiation, progression and maintenance.

Authors:  Gennie L Parkman; Mona Foth; David A Kircher; Sheri L Holmen; Martin McMahon
Journal:  Exp Dermatol       Date:  2021-11-09       Impact factor: 3.960

3.  Identification of Important Modules and Biomarkers That Are Related to Immune Infiltration Cells in Severe Burns Based on Weighted Gene Co-Expression Network Analysis.

Authors:  Zexin Zhang; Yan He; Rongjie Lin; Junhong Lan; Yueying Fan; Peng Wang; Chiyu Jia
Journal:  Front Genet       Date:  2022-06-09       Impact factor: 4.772

Review 4.  MicroRNA-Directed Cancer Therapies: Implications in Melanoma Intervention.

Authors:  Anita Thyagarajan; Ahmed Shaban; Ravi Prakash Sahu
Journal:  J Pharmacol Exp Ther       Date:  2017-10-20       Impact factor: 4.030

5.  Towards standardization of next-generation sequencing of FFPE samples for clinical oncology: intrinsic obstacles and possible solutions.

Authors:  Maxim Ivanov; Konstantin Laktionov; Valery Breder; Polina Chernenko; Ekaterina Novikova; Ekaterina Telysheva; Sergey Musienko; Ancha Baranova; Vladislav Mileyko
Journal:  J Transl Med       Date:  2017-01-31       Impact factor: 5.531

6.  Baicalein Inhibits the Migration and Invasion of B16F10 Mouse Melanoma Cells through Inactivation of the PI3K/Akt Signaling Pathway.

Authors:  Eun-Ok Choi; Eun-Ju Cho; Jin-Woo Jeong; Cheol Park; Su-Hyun Hong; Hye-Jin Hwang; Sung-Kwon Moon; Chang Gue Son; Wun-Jae Kim; Yung Hyun Choi
Journal:  Biomol Ther (Seoul)       Date:  2017-03-01       Impact factor: 4.634

7.  Pathogenic germline variants are associated with poor survival in stage III/IV melanoma patients.

Authors:  Lauren G Aoude; Vanessa F Bonazzi; Sandra Brosda; Kalpana Patel; Lambros T Koufariotis; Harald Oey; Katia Nones; Scott Wood; John V Pearson; James M Lonie; Melissa Arneil; Victoria Atkinson; B Mark Smithers; Nicola Waddell; Andrew P Barbour
Journal:  Sci Rep       Date:  2020-10-19       Impact factor: 4.379

8.  Combinatorial Therapies to Overcome BRAF/MEK Inhibitors Resistance in Melanoma Cells: An in vitro Study.

Authors:  Helena Pópulo; Beatriz Domingues; Cristina Sampaio; José Manuel Lopes; Paula Soares
Journal:  J Exp Pharmacol       Date:  2021-05-24

9.  Serum markers improve current prediction of metastasis development in early-stage melanoma patients: a machine learning-based study.

Authors:  Filippo Mancuso; Sergio Lage; Javier Rasero; José Luis Díaz-Ramón; Aintzane Apraiz; Gorka Pérez-Yarza; Pilar Ariadna Ezkurra; Cristina Penas; Ana Sánchez-Diez; María Dolores García-Vazquez; Jesús Gardeazabal; Rosa Izu; Karmele Mujika; Jesús Cortés; Aintzane Asumendi; María Dolores Boyano
Journal:  Mol Oncol       Date:  2020-06-24       Impact factor: 6.603

10.  Twenty Metabolic Genes Based Signature Predicts Survival of Glioma Patients.

Authors:  Wenfang Xu; Zhenhao Liu; He Ren; Xueqing Peng; Aoshen Wu; Duan Ma; Gang Liu; Lei Liu
Journal:  J Cancer       Date:  2020-01-01       Impact factor: 4.207

  10 in total

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