Nomogram based on pre-treatment inflammatory biomarkers predicting survival in patients with head and neck soft tissue sarcoma.

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  • Additional Information
    • Source:
      Publisher: IOS Press Country of Publication: Netherlands NLM ID: 101256509 Publication Model: Print Cited Medium: Internet ISSN: 1875-8592 (Electronic) Linking ISSN: 15740153 NLM ISO Abbreviation: Cancer Biomark Subsets: MEDLINE
    • Publication Information:
      Original Publication: Amsterdam ; Washington, DC : IOS Press, c2005-
    • Subject Terms:
      Prognosis*; Biomarkers, Tumor/*blood ; Head and Neck Neoplasms/*blood ; Inflammation/*blood; Adult ; Aged ; Blood Platelets/pathology ; Disease-Free Survival ; Female ; Head and Neck Neoplasms/pathology ; Humans ; Inflammation/pathology ; Kaplan-Meier Estimate ; Lymphocytes/pathology ; Male ; Middle Aged ; Neutrophils/pathology ; Nomograms ; Sarcoma/pathology
    • Abstract:
      Background: Systemic inflammatory biomarkers reflect level of inflammatory response, which have been suggested as prognostic factors in cancer patients.
      Objective: To estimate the prognostic value of inflammatory biomarkers in 149 patients with head and neck soft tissue sarcoma (HNSTS).
      Methods: Pre-treatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII), neutrophil-platelet score (NPS) and Aarhus Composite Biomarker Score (ACBS) were analyzed for association with overall survival (OS) and progression-free survival (PFS). Nomograms were consisted of independent predictors for OS and PFS, and evaluated by calibration curve and concordance index (C-index).
      Results: In multivariate analysis, LMR (HR = 0.42, 95% CI: 0.19-0.94, P= 0.035), ACBS (HR = 2.05, 95% CI: 1.02-4.12, P= 0.045) and AJCC stage were independent prognostic markers of OS. Moreover, high NLR (HR = 1.78, 95% CI: 1.07-2.94, P= 0.024) and advanced AJCC stage were independently related with worse PFS. Calibration curves reflected good discriminative ability of prognosis. The nomograms showed better accuracy of predicting OS (C-index: 0.748 vs. 0.690, P= 0.009) and PFS (C-index: 0.644 vs. 0.612, P= 0.028) than stage.
      Conclusions: Pre-treatment LMR, ACBS and AJCC stage were effective predictor of OS. The NLR and AJCC stage could independently predict PFS. The nomogram might act as a promising prognostic model for OS and PFS in HNSTS.
    • Contributed Indexing:
      Keywords: Soft tissue sarcoma; head and neck; inflammation; nomogram; prognosis
    • Accession Number:
      0 (Biomarkers, Tumor)
    • Publication Date:
      Date Created: 20200706 Date Completed: 20210608 Latest Revision: 20210608
    • Publication Date:
      20231215
    • Accession Number:
      10.3233/CBM-201739
    • Accession Number:
      32623392