Literature DB >> 20208480

S100A13 is a new angiogenic marker in human melanoma.

Daniela Massi1, Matteo Landriscina, Annamaria Piscazzi, Elena Cosci, Alek Kirov, Milena Paglierani, Claudia Di Serio, Vasileios Mourmouras, Stefano Fumagalli, Maurizio Biagioli, Igor Prudovsky, Clelia Miracco, Marco Santucci, Niccolò Marchionni, Francesca Tarantini.   

Abstract

Angiogenesis is critical in melanoma progression and metastasis and relies on the synthesis and release of proangiogenic molecules such as vascular endothelial growth factor (VEGF)-A and fibroblast growth factors (FGFs). S100A13 is a small calcium-binding protein that facilitates the release of FGF-1, the prototype of the FGF family. S100A13 is upregulated in astrocytic gliomas, in which it correlates with VEGF-A expression, microvessel density and tumor grading, and promotes a more aggressive, invasive phenotype in lung cancer-derived cell lines. To investigate the involvement of S100A13 in human cutaneous melanoma, we analyzed a series of 87 cutaneous melanocytic lesions: 14 common acquired melanocytic nevi, 14 atypical, so-called 'dysplastic' nevi, 45 melanomas (17 radial growth phase and 28 vertical growth phase) and 14 melanoma metastases. Main clinical and pathological features, including histotype, Breslow thickness, Clark's level and outcome were recorded. Microvessel density was determined with CD105/endoglin staining. Semiquantitative determination of S100A13, FGF-1 and VEGF-A protein expression was obtained by immunostaining. Quantification of S100A13 mRNA was achieved by real-time PCR. We found that S100A13 was expressed in melanocytic lesions; compared with benign nevi, S100A13 protein expression was significantly upregulated in melanomas (P=0.024), in which it correlated positively with the intensity of VEGF-A staining (P=0.041) and microvessel density (P=0.007). The level of expression of S100A13 mRNA also significantly increased with progression of disease, from radial growth phase (0.7+/-0.7) to vertical growth phase (3.6+/-3.1) to metastases (7.0+/-7.0) (P<0.001). Furthermore, S100A13 mRNA correlated positively with VEGF-A (P=0.023), TNM stage (P=0.05), risk of relapse (P=0.014) and status at follow-up (P=0.024). In conclusion, S100A13 is expressed in melanocytic lesions when the angiogenic switch occurs and it may cooperate with VEGF-A in supporting the formation of new blood vessels, favoring the shift from radial to vertical tumor growth. Therefore, S100A13 may represent a new angiogenic and prognostic marker in melanoma.

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Year:  2010        PMID: 20208480      PMCID: PMC2882157          DOI: 10.1038/modpathol.2010.54

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  43 in total

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Journal:  Mod Pathol       Date:  2008-07-25       Impact factor: 7.842

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Journal:  Semin Oncol       Date:  2007-12       Impact factor: 4.929

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  28 in total

1.  Regulation of non-classical FGF1 release and FGF-dependent cell transformation by CBF1-mediated notch signaling.

Authors:  Doreen Kacer; Christian McIntire; Alek Kirov; Erin Kany; Jennifer Roth; Lucy Liaw; Deena Small; Robert Friesel; Claudio Basilico; Francesca Tarantini; Joseph Verdi; Igor Prudovsky
Journal:  J Cell Physiol       Date:  2011-11       Impact factor: 6.384

2.  Detection of recurrent alternative splicing switches in tumor samples reveals novel signatures of cancer.

Authors:  Endre Sebestyén; Michał Zawisza; Eduardo Eyras
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3.  S100A proteins in the pathogenesis of experimental corneal neovascularization.

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Journal:  Mol Vis       Date:  2010-10-31       Impact factor: 2.367

Review 4.  Emerging Biomarkers in Cutaneous Melanoma.

Authors:  Anna Eisenstein; Estela Chen Gonzalez; Rekha Raghunathan; Xixi Xu; Muzhou Wu; Emily O McLean; Jean McGee; Byungwoo Ryu; Rhoda M Alani
Journal:  Mol Diagn Ther       Date:  2018-04       Impact factor: 4.074

Review 5.  S100 protein family in human cancer.

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Journal:  Am J Cancer Res       Date:  2014-03-01       Impact factor: 6.166

Review 6.  Thyroid Carcinoma: Phenotypic Features, Underlying Biology and Potential Relevance for Targeting Therapy.

Authors:  Jinwei Hu; Isabella J Yuan; Saied Mirshahidi; Alfred Simental; Steve C Lee; Xiangpeng Yuan
Journal:  Int J Mol Sci       Date:  2021-02-16       Impact factor: 5.923

7.  Biomarkers as key contributors in treating malignant melanoma metastases.

Authors:  Camila Ferreira de Souza; Alice Santana Morais; Miriam Galvonas Jasiulionis
Journal:  Dermatol Res Pract       Date:  2011-10-31

8.  Vascular Smooth Muscle Cells Stimulate Platelets and Facilitate Thrombus Formation through Platelet CLEC-2: Implications in Atherothrombosis.

Authors:  Osamu Inoue; Kazuya Hokamura; Toshiaki Shirai; Makoto Osada; Nagaharu Tsukiji; Kinta Hatakeyama; Kazuo Umemura; Yujiro Asada; Katsue Suzuki-Inoue; Yukio Ozaki
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9.  Proteomics analysis of melanoma metastases: association between S100A13 expression and chemotherapy resistance.

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Review 10.  The S100 Protein Family as Players and Therapeutic Targets in Pulmonary Diseases.

Authors:  Zeeshan Sattar; Alnardo Lora; Bakr Jundi; Christopher Railwah; Patrick Geraghty
Journal:  Pulm Med       Date:  2021-06-18
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