Literature DB >> 29722000

Review of diagnostic, prognostic, and predictive biomarkers in melanoma.

Jacob S Ankeny1, Brian Labadie2, Jason Luke2, Eddy Hsueh3, Jane Messina1, Jonathan S Zager4.   

Abstract

Melanoma is an aggressive cutaneous malignancy with rapidly rising incidence. Diagnosis of controversial melanocytic lesions, correct prognostication of patients, selection of appropriate adjuvant and systemic therapies, and prediction of response to a given therapy remain very real challenges. Despite these challenges, multiple high throughput, nucleic-acid based biomarkers have been developed that can be assayed from histologic tissue specimens. FISH, CGH, Decision-Dx, and other multi-marker assays have been combined to improve overall predictability. This review discusses some of the most promising nucleic acid based assays that can be obtained from tissue specimens to assist with diagnosis, prognostication, and prediction of treatment response.

Entities:  

Keywords:  Biomarker; Diagnostic; Melanoma; Predictive; Prognostic

Mesh:

Substances:

Year:  2018        PMID: 29722000     DOI: 10.1007/s10585-018-9892-z

Source DB:  PubMed          Journal:  Clin Exp Metastasis        ISSN: 0262-0898            Impact factor:   5.150


  68 in total

1.  Improved overall survival in melanoma with combined dabrafenib and trametinib.

Authors:  Caroline Robert; Boguslawa Karaszewska; Jacob Schachter; Piotr Rutkowski; Andrzej Mackiewicz; Daniil Stroiakovski; Michael Lichinitser; Reinhard Dummer; Florent Grange; Laurent Mortier; Vanna Chiarion-Sileni; Kamil Drucis; Ivana Krajsova; Axel Hauschild; Paul Lorigan; Pascal Wolter; Georgina V Long; Keith Flaherty; Paul Nathan; Antoni Ribas; Anne-Marie Martin; Peng Sun; Wendy Crist; Jeff Legos; Stephen D Rubin; Shonda M Little; Dirk Schadendorf
Journal:  N Engl J Med       Date:  2014-11-16       Impact factor: 91.245

2.  Comparison between melanoma gene expression score and fluorescence in situ hybridization for the classification of melanocytic lesions.

Authors:  Eugen C Minca; Rami N Al-Rohil; Min Wang; Paul W Harms; Jennifer S Ko; Angela M Collie; Ivanka Kovalyshyn; Victor G Prieto; Michael T Tetzlaff; Steven D Billings; Aleodor A Andea
Journal:  Mod Pathol       Date:  2016-05-13       Impact factor: 7.842

3.  IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade.

Authors:  Mark Ayers; Jared Lunceford; Michael Nebozhyn; Erin Murphy; Andrey Loboda; David R Kaufman; Andrew Albright; Jonathan D Cheng; S Peter Kang; Veena Shankaran; Sarina A Piha-Paul; Jennifer Yearley; Tanguy Y Seiwert; Antoni Ribas; Terrill K McClanahan
Journal:  J Clin Invest       Date:  2017-06-26       Impact factor: 14.808

4.  Fluorescence in situ hybridization, a diagnostic aid in ambiguous melanocytic tumors: European study of 113 cases.

Authors:  Beatrice Vergier; Martina Prochazkova-Carlotti; Arnaud de la Fouchardière; Lorenzo Cerroni; Daniela Massi; Vincenzo De Giorgi; Christiane Bailly; Ulrich Wesselmann; Apollon Karlseladze; Marie-Francoise Avril; Thomas Jouary; Jean-Philippe Merlio
Journal:  Mod Pathol       Date:  2010-12-10       Impact factor: 7.842

5.  Resection margins of 2 versus 5 cm for cutaneous malignant melanoma with a tumor thickness of 0.8 to 2.0 mm: randomized study by the Swedish Melanoma Study Group.

Authors:  U Ringborg; R Andersson; J Eldh; B Glaumann; L Hafström; S Jacobsson; P E Jönsson; H Johansson; L Krysander; B Lagerlöf
Journal:  Cancer       Date:  1996-05-01       Impact factor: 6.860

6.  Combinations of apoptosis and cell-cycle control biomarkers predict the outcome of human melanoma.

Authors:  Franca Piras; Maria Teresa Perra; Daniela Murtas; Luigi Minerba; Carlo Floris; Cristina Maxia; Paolo Demurtas; Jorge Ugalde; Domenico Ribatti; Paola Sirigu
Journal:  Oncol Rep       Date:  2008-08       Impact factor: 3.906

7.  Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma.

Authors:  Jedd D Wolchok; Vanna Chiarion-Sileni; Rene Gonzalez; Piotr Rutkowski; Jean-Jacques Grob; C Lance Cowey; Christopher D Lao; John Wagstaff; Dirk Schadendorf; Pier F Ferrucci; Michael Smylie; Reinhard Dummer; Andrew Hill; David Hogg; John Haanen; Matteo S Carlino; Oliver Bechter; Michele Maio; Ivan Marquez-Rodas; Massimo Guidoboni; Grant McArthur; Celeste Lebbé; Paolo A Ascierto; Georgina V Long; Jonathan Cebon; Jeffrey Sosman; Michael A Postow; Margaret K Callahan; Dana Walker; Linda Rollin; Rafia Bhore; F Stephen Hodi; James Larkin
Journal:  N Engl J Med       Date:  2017-09-11       Impact factor: 91.245

8.  Proliferation indices of phosphohistone H3 and Ki67: strong prognostic markers in a consecutive cohort with stage I/II melanoma.

Authors:  Patricia S Nielsen; Rikke Riber-Hansen; Trine O Jensen; Henrik Schmidt; Torben Steiniche
Journal:  Mod Pathol       Date:  2012-11-23       Impact factor: 7.842

9.  Assessment of a new scoring system for predicting non-sentinel node positivity in sentinel node-positive melanoma patients.

Authors:  K P Wevers; R Murali; E Bastiaannet; R A Scolyer; A J Suurmeijer; J F Thompson; H J Hoekstra
Journal:  Eur J Surg Oncol       Date:  2012-11-06       Impact factor: 4.424

10.  High MCM3 expression is an independent biomarker of poor prognosis and correlates with reduced RBM3 expression in a prospective cohort of malignant melanoma.

Authors:  Björn Nodin; Marie Fridberg; Liv Jonsson; Julia Bergman; Mathias Uhlén; Karin Jirström
Journal:  Diagn Pathol       Date:  2012-07-17       Impact factor: 2.644

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  6 in total

1.  Genetic variants in the folate metabolic pathway genes predict cutaneous melanoma-specific survival.

Authors:  W Dai; H Liu; Y Liu; X Xu; D Qian; S Luo; E Cho; D Zhu; C I Amos; S Fang; J E Lee; X Li; H Nan; C Li; Q Wei
Journal:  Br J Dermatol       Date:  2020-02-26       Impact factor: 9.302

Review 2.  Human disease biomarker panels through systems biology.

Authors:  Bradley J Smith; Licia C Silva-Costa; Daniel Martins-de-Souza
Journal:  Biophys Rev       Date:  2021-10-13

3.  A new strategy for accurate targeted diagnosis and treatment of cutaneous malignant melanoma: dual-mode phase-change lipid nanodroplets as ultrasound contrast agents.

Authors:  Hengli Yang; Wenbin Cai; Wei Lv; Ping Zhao; Yamei Shen; Longfang Zhang; Bin Ma; Lijun Yuan; Yunyou Duan; Kechun Yao
Journal:  Int J Nanomedicine       Date:  2019-09-02

4.  miR‑18a‑5p promotes melanoma cell proliferation and inhibits apoptosis and autophagy by targeting EPHA7 signaling.

Authors:  Yunlong Guo; Wenli Shi; Ruihua Fang
Journal:  Mol Med Rep       Date:  2020-11-25       Impact factor: 2.952

5.  High regional mortality due to malignant melanoma in Eastern Finland may be explained by the increase in aggressive melanoma types.

Authors:  Ville Suhonen; Jaana Rummukainen; Hanna Siiskonen; Arto Mannermaa; Ilkka T Harvima
Journal:  BMC Cancer       Date:  2021-10-29       Impact factor: 4.430

6.  Suppression of CCT3 inhibits melanoma cell proliferation by downregulating CDK1 expression.

Authors:  Wenlou Liu; Xiuli Zhang; Cheng Chen; Yizhi Li; Chunsheng Yang; Zhengxiang Han; Guan Jiang; Yanqun Liu
Journal:  J Cancer       Date:  2022-03-28       Impact factor: 4.207

  6 in total

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