Leukocytosis, prognosis biomarker in locally advanced head and neck cancer patients after chemoradiotherapy. (August 2018) - Schernberg, Antoine
Highlights: In locally advanced HNSCC, baseline leukocytosis predicts OS and PFS. Respectively 24% and 20% patients displayed baseline leukocytosis or neutrophilia. This independent biomarker could help identifying patients with high risk of tumor relapse. Abstract: Objective: To study the prognostic value of leukocyte increase in a retrospective cohort of locally advanced head and neck squamous cell carcinoma (HNSCC) patients receiving definitive concurrent cisplatin and radiation. Materials and methods: Clinical records of consecutive previously untreated locally advanced HNSCC patients treated in our Institution between March 2006 and October 2012 by concurrent cisplatin (100 mg/m 2, every 3 weeks) and radiation (70 Gy in 7 weeks) were collected. The prognostic value of pretreatment leukocyte increase was examined, with focus on patterns of relapse and survival. Leukocytosis and neutrophilia were defined as a leukocyte count or a neutrophils count exceeding 10 and 7.5 G/L, respectively. Results: We identified 193 patients, all treated with concurrent cisplatin-based chemoradiotherapy. Respectively 24% and 20% patients displayed baseline leukocytosis or neutrophilia. Mean leukocyte count were significantly more elevated in current smokers, patients with performance status (PS) >0, T4 and less in HPV + tumor. The 5-year actuarial overall survival (OS) and progression-free survival (PFS) were 56% and 51% respectively. In univariate analysis, both leukocytosis and neutrophilia were strongly associated with worse OS and PFS (p < 0.001). In multivariate analysis, N classification, HPV/p16, smoking status and leukocytosis were associated with worse OS and PFS. Patients with <3 cycles of cisplatin had worse survival. Conclusion: In locally advanced HNSCC treated with concurrent cisplatin and radiation, baseline leukocytosis predicts OS and PFS. In addition with HPV status, this independent biomarker could help identifying patients with high risk of tumor relapse.