Background: The prognostic value of serum biomarkers in soft tissue sarcoma (STS) is limited, and its clinical applicability is compromised by a common inability to adjust for important confounders. The aim of this study was to determine the prognostic value of pretreatment biomarkers on disease-specific survival (DSS) adjusted for confounders.
Methods: The study included 818 patients with localized STS. Pretreatment levels of albumin, C-reactive protein, hemoglobin, neutrophils, and lymphocytes were tested individually and combined in prognostic scores: neutrophil/lymphocyte ratio (NLR), Glasgow Prognostic Score (GPS), and Aarhus Composite Biomarker Score (ACBS) which includes all five biomarkers. Patients were randomly split into a test cohort and a validation cohort. The prognostic value of biomarkers on DSS was estimated using crude and adjusted Cox proportional hazard models. The different biomarker scores were compared using Akaike's information criteria.
Results: In the test cohort of 403 patients, all biomarkers except lymphocyte count were significant prognostic factors for DSS also after adjusting for confounders. NLR, GPS, and ACBS were independently associated with decreased survival; however, ACBS was significantly superior to NLR (P=.02) and GPS (P=.002). These findings were validated in the randomly assigned validation cohort of 415 patients. In the pooled data of 818 patients, the ACBS performed better than GPS and NLR. ACBS 2 was independently associated with decreased DSS compared to ACBS 0, hazard ratio 2.3[95% confidence interval: 1.5-3.5], P<.001.
Conclusion: Patients with abnormal values in more than one serum biomarkers had a significant additional risk of dying compared to patients with only one abnormal value. ACBS was validated as an independent prognostic factor that is superior to both NLR and GPS.
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| http://dx.doi.org/10.1016/j.tranon.2017.09.002 | DOI Listing |
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