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S100 as a Survival Biomarker in Melanoma

Feb 18, 2025

Notes on 'Relative Change in S100 as a Biomarker of Survival in Patients With Metastatic Melanoma Treated With Pembrolizumab'

Study Overview

  • Objective: Evaluate the relationship between relative changes in S100 protein levels at 12 weeks of immunotherapy and survival in patients with metastatic melanoma treated with pembrolizumab.
  • Background: Baseline S100 levels have been shown to have prognostic value, but their role during/after therapy in survival is unclear.
  • Key Finding: A relative change in S100 levels >145% at 12 weeks is associated with significantly shorter progression-free survival (PFS) and overall survival (OS).

Introduction

  • Melanoma is a skin cancer with increasing incidence over the last four decades.
  • Immunotherapies, such as PD1 and CTLA4 inhibitors, are changing treatment paradigms.
  • Pembrolizumab is a PD1 inhibitor that prevents tumor tolerance and aids in destroying cancer cells.
  • Despite improvements, 60% of patients don't respond to PD1 monotherapy.

Importance of S100

  • S100 is expressed in glial cells and melanocytes, linked to brain tumors, and melanoma.
  • High S100 is associated with metastatic disease and shorter survival.
  • Previous studies suggest S100 early changes during immunotherapy predict disease response.
  • This study aims to further explore S100 as a biomarker by focusing on relative changes post-therapy.

Methods

  • Study Design: Retrospective analysis at Clinical Hospital Centre Zagreb.
  • Patients: 38 patients with metastatic melanoma treated with pembrolizumab.
  • Treatment Protocol: Pembrolizumab at 2 mg/kg every 3 weeks.
  • Outcome Measures:
    • OS: Time from start of immunotherapy to death or loss of contact.
    • PFS: Time from start of immunotherapy to clinical or radiological progression, or death.
  • Data Analysis:
    • S100 levels before and 12 weeks after treatment initiation.
    • Statistical analyses: Mann-Whitney U-tests, chi-squared tests, Kaplan-Meier method, Cox proportional hazard model.

Results

  • Patient Demographics: Predominantly male, average age 63.4 years, majority with 3+ metastatic sites.
  • Survival Analysis:
    • Average OS: 22.4 months; PFS: 15.6 months.
    • No correlation between baseline S100 and OS.
    • Significant correlation between 12-week S100 levels and survival.
    • S100 >145% results in shorter PFS (5.1 vs. 18.5 months) and OS (5.7 vs. 26.3 months).
    • Multivariate analysis confirms S100 >145% as a significant predictor of poor survival (HR=32.25).

Discussion

  • Immunotherapy has improved melanoma outcomes, but assessing efficacy remains complex.
  • Study highlights importance of relative S100 changes as a biomarker compared to baseline levels.
  • Challenges remain in identifying the optimal cut-off for S100 changes.
  • Relative S100 change >145% shows potential as an early indicator of therapy response, possibly guiding treatment modifications.

Limitations

  • Single-center study with a small sample size.
  • Retrospective nature limits conclusions to associations only.
  • Possible selection bias due to including only patients with at least two S100 evaluations.

Conclusion

  • A relative change in S100 is a promising biomarker for predicting survival in metastatic melanoma under immunotherapy.
  • Further research is needed to refine S100 change thresholds and understand their implications.

References

  • The study includes references to previous research validating S100’s role and recent findings regarding immunotherapy.

Study Contributors: LS and MG led the analysis; KB, KM, and DH contributed to data collection and analysis. Conflict of Interest: None disclosed.


Received: February 17, 2020. Revision received: February 28, 2020. Accepted: March 4, 2020.

Copyright © 2020, International Institute of Anticancer Research