Literature DB >> 31295564

The "-OMICS" facet of melanoma: Heterogeneity of genomic, proteomic and metabolomic biomarkers.

Douglas Donnelly1, Phyu P Aung2, George Jour3.   

Abstract

In the recent decade, cutting edge molecular and proteomic analysis platforms revolutionized biomarkers discovery in cancers. Melanoma is the prototype with over 51,100 biomarkers discovered and investigated thus far. These biomarkers include tissue based tumor cell and tumor microenvironment biomarkers and circulating biomarkers including tumor DNA (cf-DNA), mir-RNA, proteins and metabolites. These biomarkers provide invaluable information for diagnosis, prognosis and play an important role in prediction of treatment response. In this review, we summarize the most recent discoveries in each of these biomarker categories. We will discuss the challenges in their implementation and standardization and conclude with some perspectives in melanoma biomarker research.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Epigenetic biomarker; Melanoma; Metabolomics; Proteomics; Serum biomarker; mir-RNA

Mesh:

Substances:

Year:  2019        PMID: 31295564     DOI: 10.1016/j.semcancer.2019.06.014

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   15.707


  10 in total

1.  Integrated metabolomic analysis and cytokine profiling define clusters of immuno-metabolic correlation in new-onset psoriasis.

Authors:  Elisabetta Tarentini; Giulia Odorici; Valeria Righi; Alessia Paganelli; Luca Giacomelli; Valentina Mirisola; Adele Mucci; Luisa Benassi; Elisabetta D'Aversa; Claudia Lasagni; Shaniko Kaleci; Eva Reali; Cristina Magnoni
Journal:  Sci Rep       Date:  2021-05-18       Impact factor: 4.379

Review 2.  Cutaneous melanoma dissemination is dependent on the malignant cell properties and factors of intercellular crosstalk in the cancer microenvironment (Review).

Authors:  Ondřej Kodet; Jan Kučera; Karolína Strnadová; Barbora Dvořánková; Jiří Štork; Lukáš Lacina; Karel Smetana
Journal:  Int J Oncol       Date:  2020-06-26       Impact factor: 5.650

3.  The Management of Oligoprogression in the Landscape of New Therapies for Metastatic Melanoma.

Authors:  Michele Guida; Nicola Bartolomeo; Ivana De Risi; Livia Fucci; Andrea Armenio; Ruggero Filannino; Eustachio Ruggieri; Francesco Macina; Michele Traversa; Annalisa Nardone; Francesco Figliuolo; Federica De Luca; Fabio Mele; Stefania Tommasi; Sabino Strippoli
Journal:  Cancers (Basel)       Date:  2019-10-14       Impact factor: 6.639

4.  Research status and prospects of biomarkers for nasopharyngeal carcinoma in the era of high‑throughput omics (Review).

Authors:  Shan-Qiang Zhang; Su-Ming Pan; Si-Xian Liang; Yu-Shuai Han; Hai-Bin Chen; Ji-Cheng Li
Journal:  Int J Oncol       Date:  2021-03-02       Impact factor: 5.650

5.  Investigating Serum and Tissue Expression Identified a Cytokine/Chemokine Signature as a Highly Effective Melanoma Marker.

Authors:  Marco Cesati; Francesca Scatozza; Daniela D'Arcangelo; Gian Carlo Antonini-Cappellini; Stefania Rossi; Claudio Tabolacci; Maurizio Nudo; Enzo Palese; Luigi Lembo; Giovanni Di Lella; Francesco Facchiano; Antonio Facchiano
Journal:  Cancers (Basel)       Date:  2020-12-08       Impact factor: 6.639

6.  DNA methylation regulates TIGIT expression within the melanoma microenvironment, is prognostic for overall survival, and predicts progression-free survival in patients treated with anti-PD-1 immunotherapy.

Authors:  Dennis Niebel; Anne Fröhlich; Jennifer Landsberg; Dimo Dietrich; Romina Zarbl; Simon Fietz; Luka de Vos; Timo J Vogt; Jörn Dietrich; Judith Sirokay; Pia Kuster; Gonzalo Saavedra; Susana Ramírez Valladolid; Friederike Hoffmann; Sebastian Strieth
Journal:  Clin Epigenetics       Date:  2022-04-11       Impact factor: 6.551

7.  Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach.

Authors:  Dan Dai; Chunyan He; Shuo Wang; Mei Wang; Na Guo; Ping Song
Journal:  Front Mol Biosci       Date:  2022-07-19

8.  Application of Deep Learning on the Prognosis of Cutaneous Melanoma Based on Full Scan Pathology Images.

Authors:  Anhai Li; Xiaoyuan Li; Wenwen Li; Xiaoqian Yu; Mengmeng Qi; Ding Li
Journal:  Biomed Res Int       Date:  2022-08-28       Impact factor: 3.246

9.  Urinary metabolomic investigations in vitiligo patients.

Authors:  Wei Liu; Xiao-Yan Liu; Yue-Tong Qian; Dong-Dong Zhou; Jia-Wei Liu; Tian Chen; Wei Sun; Dong-Lai Ma
Journal:  Sci Rep       Date:  2020-10-22       Impact factor: 4.379

10.  Metabolomic profile of cancer stem cell-derived exosomes from patients with malignant melanoma.

Authors:  José Luis Palacios-Ferrer; María Belén García-Ortega; María Gallardo-Gómez; María Ángel García; Caridad Díaz; Houria Boulaiz; Javier Valdivia; José Miguel Jurado; Francisco M Almazan-Fernandez; Salvador Arias-Santiago; Víctor Amezcua; Héctor Peinado; Francisca Vicente; José Pérez Del Palacio; Juan A Marchal
Journal:  Mol Oncol       Date:  2020-11-25       Impact factor: 7.449

  10 in total

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