Literature DB >> 11778756

Serum S100beta protein as a marker of disease activity in patients with malignant melanoma.

M Q Mohammed1, H D Abraha, R A Sherwood, K MacRae, S Retsas.   

Abstract

The purpose of the study was to evaluate serum S100beta protein as a marker of disease activity in patients with malignant melanoma (MM) and compare it with serum alkaline phosphatase (ALP) and lactate dehydrogenase (LDH). One hundred sixty-four patients with MM, stages I-IV according to the American Joint Committee on Cancer (AJCC), were studied. Recurrent disease was categorized as active (AD) if metastases were evident clinically or with imaging investigations and inactive (ID) if no metastases were apparent at the time of sample collection. The sensitivity and specificity of S100beta, LDH, and ALP for discrimination between AD and ID were calculated using receiver-operating characteristic curve (ROC) analysis. Serum S100beta, LDH, and ALP concentrations were significantly higher in AD compared to ID. Serum S100beta protein was the best discriminator between AD and ID, the areas under the ROC curve being 0.89, 0.71, and 0.70 for S100beta, LDH, and ALP, respectively. Serum S100beta and LDH levels (both p < 0.0001) and serum ALP levels (p = 0.0014) corresponded with the number of metastatic sites involved. Using a cutoff point of 0.20 microg/L for serum S100beta protein, a specificity of 93% with a sensitivity of 68% was obtained for AD in MM. In stage IV disease, S100 was an independent predictor of survival in univariate (p = 0.001; hazard ratio = 1.0156) and multivariate (p = 0.038; hazard ratio = 1.0108) analyses. Serum S100beta protein is a better indicator of disease activity in MM than LDH or ALP and is an independent predictor of survival in stage IV disease.

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Year:  2001        PMID: 11778756     DOI: 10.1385/MO:18:2:109

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  18 in total

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Journal:  Br J Dermatol       Date:  1998-03       Impact factor: 9.302

2.  2nd International Conference on the Adjuvant Therapy of Malignant Melanoma. London, UK, 14-15 March, 1997. Report and abstracts.

Authors:  S Retsas; C Falkson
Journal:  Melanoma Res       Date:  1997-04       Impact factor: 3.599

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Journal:  Ann Clin Biochem       Date:  1997-07       Impact factor: 2.057

4.  Serum S-100b protein as a prognostic marker in malignant cutaneous melanoma.

Authors:  E D Mårtenson; L O Hansson; B Nilsson; E von Schoultz ; E Månsson Brahme; U Ringborg; J Hansson
Journal:  J Clin Oncol       Date:  2001-02-01       Impact factor: 44.544

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Authors:  G Henze; R Dummer; H I Joller-Jemelka; R Böni; G Burg
Journal:  Dermatology       Date:  1997       Impact factor: 5.366

6.  Serial S-100 protein serum measurements related to early magnetic resonance imaging after minor head injury. Case report.

Authors:  T Ingebrigtsen; B Romner
Journal:  J Neurosurg       Date:  1996-11       Impact factor: 5.115

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Authors:  S Carrel; D Rimoldi
Journal:  Eur J Cancer       Date:  1993       Impact factor: 9.162

8.  S100-Beta, melanoma-inhibiting activity, and lactate dehydrogenase discriminate progressive from nonprogressive American Joint Committee on Cancer stage IV melanoma.

Authors:  M Deichmann; A Benner; M Bock; A Jäckel; K Uhl; V Waldmann; H Näher
Journal:  J Clin Oncol       Date:  1999-06       Impact factor: 44.544

9.  Systemic treatment of malignant melanoma: grade is as important as stage.

Authors:  S Retsas
Journal:  Clin Exp Dermatol       Date:  1997-03       Impact factor: 3.470

10.  S-100 protein as a marker for melanocytic and other tumours.

Authors:  A J Cochran; D R Wen
Journal:  Pathology       Date:  1985-04       Impact factor: 5.306

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  9 in total

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Journal:  J Clin Oncol       Date:  2008-12-01       Impact factor: 44.544

2.  Serum markers lactate dehydrogenase and S100B predict independently disease outcome in melanoma patients with distant metastasis.

Authors:  B Weide; M Elsässer; P Büttner; A Pflugfelder; U Leiter; T K Eigentler; J Bauer; M Witte; F Meier; C Garbe
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Authors:  Barbara Peric; Ivana Zagar; Srdjan Novakovic; Janez Zgajnar; Marko Hocevar
Journal:  BMC Cancer       Date:  2011-08-02       Impact factor: 4.430

4.  Use of S-100B to evaluate therapy effects during bevacizumab induction treatment in AJCC stage III melanoma.

Authors:  S Kruijff; E Bastiaannet; A H Brouwers; W B Nagengast; M J Speijers; A J H Suurmeijer; G A Hospers; H J Hoekstra
Journal:  Ann Surg Oncol       Date:  2011-08-23       Impact factor: 5.344

5.  Serum S100B, lactate dehydrogenase and brain metastasis are prognostic factors in patients with distant melanoma metastasis and systemic therapy.

Authors:  Benjamin Weide; Sabina Richter; Petra Büttner; Ulrike Leiter; Andrea Forschner; Jürgen Bauer; Laura Held; Thomas Kurt Eigentler; Friedegund Meier; Claus Garbe
Journal:  PLoS One       Date:  2013-11-28       Impact factor: 3.240

6.  S-100B as an extra selection tool for FDG PET/CT scanning in follow-up of AJCC stage III melanoma patients.

Authors:  Eric A Deckers; Kevin P Wevers; Anneke C Muller Kobold; Samantha Damude; Otis M Vrielink; Robert J van Ginkel; Lukas B Been; Barbara L van Leeuwen; Harald J Hoekstra; Schelto Kruijff
Journal:  J Surg Oncol       Date:  2019-08-29       Impact factor: 3.454

7.  S-100B concentrations predict disease-free survival in stage III melanoma patients.

Authors:  S Kruijff; E Bastiaannet; A C Muller Kobold; R J van Ginkel; A J H Suurmeijer; H J Hoekstra
Journal:  Ann Surg Oncol       Date:  2009-12       Impact factor: 5.344

8.  Longitudinal serum S100β and brain aging in the Lothian Birth Cohort 1936.

Authors:  Simon R Cox; Mike Allerhand; Stuart J Ritchie; Susana Muñoz Maniega; Maria Valdés Hernández; Sarah E Harris; David Alexander Dickie; Devasuda Anblagan; Benjamin S Aribisala; Zoe Morris; Roy Sherwood; N Joan Abbott; John M Starr; Mark E Bastin; Joanna M Wardlaw; Ian J Deary
Journal:  Neurobiol Aging       Date:  2018-05-31       Impact factor: 4.673

9.  Predictive Performance of Serum S100B Versus LDH in Melanoma Patients: A Systematic Review and Meta-Analysis.

Authors:  Eszter Anna Janka; Tünde Várvölgyi; Zoltán Sipos; Alexandra Soós; Péter Hegyi; Szabolcs Kiss; Fanni Dembrovszky; Dezső Csupor; Patrik Kéringer; Dániel Pécsi; Margit Solymár; Gabriella Emri
Journal:  Front Oncol       Date:  2021-12-07       Impact factor: 6.244

  9 in total

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