Literature DB >> 25322343

Large-scale proteomic characterization of melanoma expressed proteins reveals nestin and vimentin as biomarkers that can potentially distinguish melanoma subtypes.

Veneta Qendro1, Deborah H Lundgren, Karim Rezaul, Forrest Mahony, Nicholas Ferrell, Andrew Bi, Ardian Latifi, Daniyal Chowdhury, Steven Gygi, Wilhelm Haas, Lori Wilson, Michael Murphy, David K Han.   

Abstract

Melanoma is an aggressive type of skin cancer, which accounts for only 4% of skin cancer cases but causes around 75% of skin cancer deaths. Currently, there is a limited set of protein biomarkers that can distinguish melanoma subtypes and provide an accurate prognosis of melanoma. Thus, we have selected and profiled the proteomes of five different melanoma cell lines from different stages of progression in comparison with a normal melanocytes using tandem mass spectrometry. We also profiled the proteome of a solid metastatic melanoma tumor. This resulted in the identification of 4758 unique proteins, among which ∼200-300 differentially expressed proteins from each set were found by quantitative proteomics. Correlating protein expression with aggressiveness of each melanoma cell line and literature mining resulted in the final selection of six proteins: vimentin, nestin, fibronectin, annexin A1, dipeptidyl peptidase IV, and histone H2A1B. Validation of nestin and vimentin using 40 melanoma samples revealed pattern of protein expression can help predict melanoma aggressiveness in different subgroups of melanoma. These results, together with the combined list of 4758 expressed proteins, provide a valuable resource for selecting melanoma biomarkers in the future for the clinical and research community.

Entities:  

Keywords:  biomarkers; melanoma; nestin; proteomics; quantitative proteomics; spectral counting; vimentin

Mesh:

Substances:

Year:  2014        PMID: 25322343     DOI: 10.1021/pr5006789

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  10 in total

1.  Antineoplastic effects of Rhodiola crenulata treatment on B16-F10 melanoma.

Authors:  Maxine C Dudek; Kaitlyn E Wong; Lotfi M Bassa; Maria Carmen Mora; Jennifer Ser-Dolansky; Jean M Henneberry; Giovanna M Crisi; Richard B Arenas; Sallie S Schneider
Journal:  Tumour Biol       Date:  2015-07-10

2.  Proteomic Findings in Melanoma.

Authors:  Deepanwita Sengupta; Alan J Tackett
Journal:  J Proteomics Bioinform       Date:  2016-04-27

3.  Quantitative Proteomics Links the Intermediate Filament Nestin to Resistance to Targeted BRAF Inhibition in Melanoma Cells.

Authors:  Marisa Schmitt; Tobias Sinnberg; Nicolas C Nalpas; Annika Maass; Birgit Schittek; Boris Macek
Journal:  Mol Cell Proteomics       Date:  2019-03-19       Impact factor: 5.911

4.  Activity-Based Protein Profiling Shows Heterogeneous Signaling Adaptations to BRAF Inhibition.

Authors:  Ritin Sharma; Inna Fedorenko; Paige T Spence; Vernon K Sondak; Keiran S M Smalley; John M Koomen
Journal:  J Proteome Res       Date:  2016-11-17       Impact factor: 4.466

5.  Nestin Regulates Keap1-Nrf2-HO-1-Mediated Antioxidant Responses during Stress and Malignant Hematopoiesis.

Authors:  Chunjuan Lu; Jin Wei
Journal:  Biomed Res Int       Date:  2022-05-28       Impact factor: 3.246

6.  Engineered Tug-of-War Between Kinesin and Dynein Controls Direction of Microtubule Based Transport In Vivo.

Authors:  Karim Rezaul; Dipika Gupta; Irina Semenova; Kazuho Ikeda; Pavel Kraikivski; Ji Yu; Ann Cowan; Ilya Zaliapin; Vladimir Rodionov
Journal:  Traffic       Date:  2016-03-28       Impact factor: 6.215

Review 7.  Mass spectrometry-assisted gel-based proteomics in cancer biomarker discovery: approaches and application.

Authors:  Rongrong Huang; Zhongsi Chen; Lei He; Nongyue He; Zhijiang Xi; Zhiyang Li; Yan Deng; Xin Zeng
Journal:  Theranostics       Date:  2017-08-18       Impact factor: 11.556

8.  Study of metastatic kinetics in metastatic melanoma treated with B-RAF inhibitors: Introducing mathematical modelling of kinetics into the therapeutic decision.

Authors:  Niklas Hartung; Cécilia T-K Huynh; Caroline Gaudy-Marqueste; Antonin Flavian; Nausicaa Malissen; Marie-Aleth Richard-Lallemand; Florence Hubert; Jean-Jacques Grob
Journal:  PLoS One       Date:  2017-05-04       Impact factor: 3.240

9.  Mass Spectrometry-Based Proteomic Characterization of Cutaneous Melanoma Ectosomes Reveals the Presence of Cancer-Related Molecules.

Authors:  Magdalena Surman; Sylwia Kędracka-Krok; Dorota Hoja-Łukowicz; Urszula Jankowska; Anna Drożdż; Ewa Ł Stępień; Małgorzata Przybyło
Journal:  Int J Mol Sci       Date:  2020-04-22       Impact factor: 5.923

10.  3D Melanoma Cocultures as Improved Models for Nanoparticle-Mediated Delivery of RNA to Tumors.

Authors:  Maximilian E A Schäfer; Florian Keller; Jens Schumacher; Heinrich Haas; Fulvia Vascotto; Ugur Sahin; Mathias Hafner; Rüdiger Rudolf
Journal:  Cells       Date:  2022-03-17       Impact factor: 6.600

  10 in total

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