Literature DB >> 8440900

Melanin pigments and melanosomal proteins as differentiation markers unique to normal and neoplastic melanocytes.

K Jimbow1, S K Lee, M G King, H Hara, H Chen, J Dakour, H Marusyk.   

Abstract

This report introduces some aspects of our current basic research focus on the unique metabolic pathways within the melanocyte. Using this approach, we hope to gain a better understanding of the pathophysiology of malignant melanoma and develop early laboratory diagnostic tests for this disease. Specifically, we will discuss that: 1) the synthesis of pheomelanin is markedly increased in malignant melanoma and dysplastic melanocytic nevi; 2) high levels of metabolites of pheomelanin and eumelanin can be detected in the urine and blood of patients with metastatic melanoma; 3) this release of melanin metabolites appears to correlate with tumor thickness and tumor load, including the extent of metastasis; 4) the synthesis of melanosomal proteins also becomes aberrant in malignant melanoma; and 5) this abnormal melanosome synthesis can be utilized in the identification of antigenic epitopes that are uniquely expressed in malignant melanoma. We believe that this synthesis and secretion of abnormal melanin pigment and melanosomal proteins (human melanosome-specific antigen) would be useful for the development of early laboratory diagnostic and monitoring tools for malignant melanoma. In addition, we also report the detection of pheomelanin component in "normal" unexposed skin; however, the relative amount of pheomelanin in the skin does not reflect hair color (e.g., red hair). The nature of this pheomelanin component in the skin needs to be further clarified.

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Year:  1993        PMID: 8440900     DOI: 10.1111/1523-1747.ep12470103

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  9 in total

1.  Tumour-cell-endothelial interactions: free radicals are mediators of melanoma-induced endothelial cell damage.

Authors:  F A Offner; J Schiefer; H C Wirtz; I Bigalke; M Pavelka; G Hollweg; C Ensinger; B Klosterhalfen; C Mittermayer; C J Kirkpatrick
Journal:  Virchows Arch       Date:  1996-05       Impact factor: 4.064

2.  Acid sphingomyelinase determines melanoma progression and metastatic behaviour via the microphtalmia-associated transcription factor signalling pathway.

Authors:  L Bizzozero; D Cazzato; D Cervia; E Assi; F Simbari; F Pagni; C De Palma; A Monno; C Verdelli; P R Querini; V Russo; E Clementi; C Perrotta
Journal:  Cell Death Differ       Date:  2013-12-06       Impact factor: 15.828

Review 3.  Nonlinear absorption microscopy.

Authors:  Tong Ye; Dan Fu; Warren S Warren
Journal:  Photochem Photobiol       Date:  2009-01-23       Impact factor: 3.421

4.  Genetic validation and spectroscopic detailing of DHN-melanin extracted from an environmental fungus.

Authors:  Nitya Meenakshi Raman; Suganthi Ramasamy
Journal:  Biochem Biophys Rep       Date:  2017-08-19

5.  Cutaneous malignant melanoma incidences analyzed worldwide by sex, age, and skin type over personal Ultraviolet-B dose shows no role for sunburn but implies one for Vitamin D3.

Authors:  Dianne E Godar; Madhan Subramanian; Stephen J Merrill
Journal:  Dermatoendocrinol       Date:  2016-12-14

Review 6.  Current Molecular Markers of Melanoma and Treatment Targets.

Authors:  Kevin Yang; Allen S W Oak; Radomir M Slominski; Anna A Brożyna; Andrzej T Slominski
Journal:  Int J Mol Sci       Date:  2020-05-16       Impact factor: 5.923

Review 7.  Stromal Cells Present in the Melanoma Niche Affect Tumor Invasiveness and Its Resistance to Therapy.

Authors:  Justyna Mazurkiewicz; Aleksandra Simiczyjew; Ewelina Dratkiewicz; Marcin Ziętek; Rafał Matkowski; Dorota Nowak
Journal:  Int J Mol Sci       Date:  2021-01-07       Impact factor: 5.923

Review 8.  Is alopecia areata an autoimmune-response against melanogenesis-related proteins, exposed by abnormal MHC class I expression in the anagen hair bulb?

Authors:  R Paus; A Slominski; B M Czarnetzki
Journal:  Yale J Biol Med       Date:  1993 Nov-Dec

9.  Network-based co-expression analysis for exploring the potential diagnostic biomarkers of metastatic melanoma.

Authors:  Li-Xin Wang; Yang Li; Guan-Zhi Chen
Journal:  PLoS One       Date:  2018-01-29       Impact factor: 3.240

  9 in total

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