Literature DB >> 20177382

The biology behind prognostic factors of cutaneous melanoma.

Alan Spatz1, Gerald Batist, Alexander M M Eggermont.   

Abstract

PURPOSE OF REVIEW: Cutaneous melanoma still represents a paradox among all solid tumors. It is the cancer for which the best prognostic markers ever identified in solid tumors are available, yet there is very little understanding of their biological significance. This review focuses on recent biological data that shed light on the clinico-biological correlations that support the 2010 AJCC melanoma staging system. RECENT
FINDINGS: E-cadherin is a keratinocyte-melanoma adhesion molecule whose loss is required for the acquisition of an invasive phenotype. Recent data showed that this loss is mediated by the transcription factor Tbx3 which is also involved in suppressing melanocytes senescence. CCN3 is present in melanoma cells close to the epidermal-dermal interface, but not in melanoma cells that have invaded deep into the dermis. It has been recently demonstrated that CCN3 decreases the transcription and activation of matrix metalloproteinases and suppresses the invasion of melanoma cells. These results suggest that the absence of CCN3 in advanced melanoma cells contributes to their invasive phenotype and that ulceration modifies the microenvironment allowing CCN3-depleted melanoma cells to invade.
SUMMARY: A major challenge is to replace outcome clustering based on artificial biomarker breakpoints by a continuous multidimensional prognostic model. Major improvement will come from shared computerized tools allowing to generate continuous likelihood scores for diagnosis, prognosis and response prediction. This will lead to the development of platforms which can be used by scientists from different fields to integrate and share high-quality data in the precompetitive setting and generate new probabilistic causal models.

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Year:  2010        PMID: 20177382     DOI: 10.1097/CCO.0b013e328337fe8f

Source DB:  PubMed          Journal:  Curr Opin Oncol        ISSN: 1040-8746            Impact factor:   3.645


  13 in total

Review 1.  Molecular pathology of cutaneous melanoma.

Authors:  Léon C van Kempen; Margaret Redpath; Caroline Robert; Alan Spatz
Journal:  Melanoma Manag       Date:  2014-12-04

2.  Effect of biology on the outcome of female melanoma patients.

Authors:  Kayhan Erturk; Faruk Tas
Journal:  Mol Clin Oncol       Date:  2017-10-09

3.  Chronic inflammation promotes myeloid-derived suppressor cell activation blocking antitumor immunity in transgenic mouse melanoma model.

Authors:  Christiane Meyer; Alexandra Sevko; Marcel Ramacher; Alexandr V Bazhin; Christine S Falk; Wolfram Osen; Ivan Borrello; Masashi Kato; Dirk Schadendorf; Michal Baniyash; Viktor Umansky
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-03       Impact factor: 11.205

4.  Immune biomarkers are more accurate in prediction of survival in ulcerated than in non-ulcerated primary melanomas.

Authors:  Ellen H de Moll; Yichun Fu; Yingzhi Qian; Sara H Perkins; Shira Wieder; Sacha Gnjatic; Romain Remark; Sebastian G Bernardo; Marina Moskalenko; Jonathan Yao; Tammie Ferringer; Rui Chang; Jerry Chipuk; Basil A Horst; Miriam B Birge; Robert G Phelps; Yvonne M Saenger
Journal:  Cancer Immunol Immunother       Date:  2015-06-16       Impact factor: 6.968

5.  Towards a quantitative understanding of the MITF-PIAS3-STAT3 connection.

Authors:  Josef Thingnes; Timothy J Lavelle; Arne B Gjuvsland; Stig W Omholt; Eivind Hovig
Journal:  BMC Syst Biol       Date:  2012-02-08

6.  The clinicopathological and gene expression patterns associated with ulceration of primary melanoma.

Authors:  Rosalyn Jewell; Faye Elliott; Jonathan Laye; Jérémie Nsengimana; John Davies; Christy Walker; Caroline Conway; Angana Mitra; Mark Harland; Martin G Cook; Andy Boon; Sarah Storr; Sabreena Safuan; Stewart G Martin; Karin Jirström; Håkan Olsson; Christian Ingvar; Martin Lauss; Tim Bishop; Göran Jönsson; Julia Newton-Bishop
Journal:  Pigment Cell Melanoma Res       Date:  2014-10-01       Impact factor: 4.693

7.  Autophagic UVRAG Promotes UV-Induced Photolesion Repair by Activation of the CRL4(DDB2) E3 Ligase.

Authors:  Yongfei Yang; Shanshan He; Qiaoxiu Wang; Fan Li; Mi-Jeong Kwak; Sally Chen; Douglas O'Connell; Tian Zhang; Sara Dolatshahi Pirooz; Yong Heui Jeon; Nyam-Osor Chimge; Baruch Frenkel; Younho Choi; Grace M Aldrovandi; Byung-Ha Oh; Zengqiang Yuan; Chengyu Liang
Journal:  Mol Cell       Date:  2016-05-19       Impact factor: 17.970

8.  Do not underestimate nucleotide excision repair: it predicts not only melanoma risk but also survival outcome.

Authors:  Steffen Emmert; Kenneth H Kraemer
Journal:  J Invest Dermatol       Date:  2013-07       Impact factor: 8.551

9.  Polymorphisms of nucleotide excision repair genes predict melanoma survival.

Authors:  Chunying Li; Ming Yin; Li-E Wang; Christopher I Amos; Dakai Zhu; Jeffrey E Lee; Jeffrey E Gershenwald; Elizabeth A Grimm; Qingyi Wei
Journal:  J Invest Dermatol       Date:  2013-02-14       Impact factor: 8.551

10.  Melanoma risk loci as determinants of melanoma recurrence and survival.

Authors:  Justin Rendleman; Shulian Shang; Christine Dominianni; Jerry F Shields; Patrick Scanlon; Christina Adaniel; Alexis Desrichard; Michelle Ma; Richard Shapiro; Russell Berman; Anna Pavlick; David Polsky; Yongzhao Shao; Iman Osman; Tomas Kirchhoff
Journal:  J Transl Med       Date:  2013-11-04       Impact factor: 5.531

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