Literature DB >> 23907232

S100B and lactate dehydrogenase as response and progression markers during treatment with vemurafenib in patients with advanced melanoma.

Sail Abusaif1, Zeinab Jradi, Laura Held, Annette Pflugfelder, Benjamin Weide, Friedegund Meier, Claus Garbe, Thomas K Eigentler.   

Abstract

Vemurafenib is a highly efficient BRAF inhibitor for metastatic melanoma patients carrying the V600 mutation: progression-free survival is prolonged to ∼ 6 months and 50-80% of the patients show objective tumor responses. S100B and lactate dehydrogenase (LDH) are established tumor markers in routine melanoma follow-up. This study evaluated their potential as response and progression markers during vemurafenib treatment. A cohort of 44 patients with stage IV melanoma disease who were treated with vemurafenib was retrospectively analyzed. Staging was performed every 6-8 weeks comprising computed tomography scans and measurement of LDH and S100B levels. Response Evaluation Criteria In Solid Tumors (RECIST) criteria were used for standardized radiological response evaluations. The correlation between response or progression and LDH and S100B levels was analyzed using accuracy tests, Spearman's rank correlation ρ, and polynominal regression analyses. There was a good correlation between S100B and LDH decline and a RECIST-confirmed response, especially when S100B and/or LDH were elevated at baseline (accuracy, 81.2% for S100B and 85.7% for LDH). However, the accuracy in case of RECIST-confirmed progression and S100B/LDH levels was low - 30.3% for S100B and 32.4% for LDH. Neither Spearman's rank correlation ρ nor polynomial regression analyses showed a correlation between the clinical course and S100B/LDH levels. Measurement of S100B and LDH levels during treatment with vemurafenib indicates an initial response; however, this does not seem to be sufficient in detecting tumor progression and is thus not an alternative to monitoring with imaging examinations.

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Year:  2013        PMID: 23907232     DOI: 10.1097/CMR.0b013e3283650741

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  6 in total

Review 1.  Biomarkers Predictive of Survival and Response to Immune Checkpoint Inhibitors in Melanoma.

Authors:  Emanuelle M Rizk; Angelina M Seffens; Megan H Trager; Michael R Moore; Larisa J Geskin; Robyn D Gartrell-Corrado; Winston Wong; Yvonne M Saenger
Journal:  Am J Clin Dermatol       Date:  2020-02       Impact factor: 7.403

2.  Long-term survival with modern therapeutic agents against metastatic melanoma-vemurafenib and ipilimumab in a daily life setting.

Authors:  B M Lang; A Peveling-Oberhag; D Faidt; A M Hötker; V Weyer-Elberich; S Grabbe; C Loquai
Journal:  Med Oncol       Date:  2018-01-31       Impact factor: 3.064

3.  Expression and clinical significance of S100 family genes in patients with melanoma.

Authors:  Ting-Feng Xiong; Fu-Qiang Pan; Dong Li
Journal:  Melanoma Res       Date:  2019-02       Impact factor: 3.599

4.  SERPINB1 expression is predictive for sensitivity and outcome of cisplatin-based chemotherapy in melanoma.

Authors:  Christoph Willmes; Rajiv Kumar; Jürgen C Becker; Isabella Fried; P Sivaramakrishna Rachakonda; Lidia M Poppe; Sonja Hesbacher; Dirk Schadendorf; Antje Sucker; David Schrama; Selma Ugurel
Journal:  Oncotarget       Date:  2016-03-01

5.  Quantitative assessment of BRAF V600 mutant circulating cell-free tumor DNA as a tool for therapeutic monitoring in metastatic melanoma patients treated with BRAF/MEK inhibitors.

Authors:  Max Schreuer; Geert Meersseman; Sari Van Den Herrewegen; Yanina Jansen; Ines Chevolet; Ambre Bott; Sofie Wilgenhof; Teofila Seremet; Bart Jacobs; Ronald Buyl; Geert Maertens; Bart Neyns
Journal:  J Transl Med       Date:  2016-04-19       Impact factor: 5.531

6.  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

  6 in total

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