Literature DB >> 15691637

Normal values of serum S-100B predict prolonged survival for stage IV melanoma patients.

Léonie H M Smit1, Catharina M Korse, Augustinus A M Hart, Johannes M G Bonfrer, John B A G Haanen, J Martijn Kerst, Omgo E Nieweg, Gijsbert C de Gast.   

Abstract

The value of normal S-100B levels to predict survival was evaluated in 145 patients with stage IV melanoma. Treatment consisted of temozolomide given alone or was followed by combined cytokine immunotherapy, given every three to four weeks, with an evaluation of response following two treatment-cycles. S-100B values were measured prior to and following each cycle of systemic therapy and regularly thereafter. Patients with normal initial S-100B values (n=32) had higher response rates and fewer and more favourable metastatic sites with better overall survival rates than patients with elevated S-100B levels (median 14.0 versus 6.6 months). Normal S-100B values increased in nearly all patients (28/31) after a median of 7.9 months. In addition, patients with rapid normalisation of their serum level (n=12) following systemic treatment experienced prolonged survival. However, upon multivariable analysis S-100B prior to treatment lost its independence as a prognostic factor, whereas lactate dehydrogenase (LDH) remained. When measured after treatment, both markers had independent value.

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Year:  2005        PMID: 15691637     DOI: 10.1016/j.ejca.2004.10.019

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  8 in total

Review 1.  Tumor cell and circulating markers in melanoma: diagnosis, prognosis, and management.

Authors:  Nicole Kounalakis; James S Goydos
Journal:  Curr Oncol Rep       Date:  2005-09       Impact factor: 5.075

2.  Prognostic significance of serum S100B protein in high-risk surgically resected melanoma patients participating in Intergroup Trial ECOG 1694.

Authors:  Ahmad A Tarhini; Joseph Stuckert; Sandra Lee; Cindy Sander; John M Kirkwood
Journal:  J Clin Oncol       Date:  2008-12-01       Impact factor: 44.544

3.  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
Journal:  Br J Cancer       Date:  2012-07-10       Impact factor: 7.640

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.  A lack of association between elevated serum levels of S100B protein and autoimmunity in autistic children.

Authors:  Laila Yousef Al-Ayadhi; Gehan Ahmed Mostafa
Journal:  J Neuroinflammation       Date:  2012-03-16       Impact factor: 8.322

6.  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

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.  The Prognostic and Predictive Value of Melanoma-related MicroRNAs Using Tissue and Serum: A MicroRNA Expression Analysis.

Authors:  Mitchell S Stark; Kerenaftali Klein; Benjamin Weide; Lauren E Haydu; Annette Pflugfelder; Yue Hang Tang; Jane M Palmer; David C Whiteman; Richard A Scolyer; Graham J Mann; John F Thompson; Georgina V Long; Andrew P Barbour; H Peter Soyer; Claus Garbe; Adrian Herington; Pamela M Pollock; Nicholas K Hayward
Journal:  EBioMedicine       Date:  2015-05-12       Impact factor: 8.143

  8 in total

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