Extracapsular extension of neck nodes and absence of human papillomavirus 16-DNA are predictors of impaired survival in p16-positive oropharyngeal squamous cell carcinoma.

BACKGROUND: Human papillomavirus (HPV)-driven oropharyngeal squamous cell carcinomas (OPSCCs) demonstrate superior outcome compared with HPV-negative OPSCCs. The eighth edition of the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) tumor, lymph node, metastasis (TNM) classification (TNM 2017) modifies OPSCC staging based on p16 positivity as a surrogate for HPV-driven disease. In p16-negative OPSCCs, lymph node (N) categories include extracapsular/extranodal extension (ECE); and, in p16-positive OPSCCs, N categories are based on the number of positive neck lymph nodes omitting ECE status. The objective of the current study was to assess the prognostic impact of positive ECE status and the detection of HPV16 DNA in patients with p16-positive OPSCC. METHODS: In a cohort of 92 patients with p16-positive, lymph node (N)-positive (stage III-IVB) OPSCC who underwent surgery and neck dissection, allowing for a pathologic examination of positive lymph nodes, 66 of 92 patients (71.4%) were p16-positive/HPV16 DNA-positive, 62 of 92 (67%) were ECE-positive, and 45 of 62 (72.6%) were ECE-positive, p16-positive, and HPV16 DNA-positive. Differences in outcome were assessed using Kaplan-Meier plots and Cox proportional hazard regression (CoxR) for tumor-specific survival and overall survival (OS). RESULTS: The mean numbers of positive lymph nodes in ECE-positive patients (5.0 positive lymph nodes; 95% CI, 3.8-6.4 positive lymph nodes) and ECE-negative patients (2.4 positive lymph nodes; 95% CI, 1.8-2.9 positive lymph nodes) were different (P = .0007). ECE affected OS and tumor-specific survival in p16-positive patients (P = .007 and P = .047, respectively) and in p16-positive/HPV16 DNA-positive patients (P = .013 and P = .026, respectively). Related to the unequal distributions of ECE-positive/HPV16 DNA-negative tumors, the TNM 2017 failed to discriminate OS in patients with UICC stage I, II, and III disease (mean OS, 54.5, 73.4, and 45 months, respectively; median OS, 64.7 months, not reached, and 41.1 months, respectively). According to a univariate CoxR, the presence of ECE predicted impaired OS in patients with p16-positive OPSCC (hazard ratio, 3.40; 95% CI, 1.17-9.89; P = .025) and even greater impaired OS in those with p16-positive/HPV16 DNA-positive OPSCC (HR, 8.64; 95% CI, 1.12-66.40; P = .038). Multivariate CoxR confirmed ECE and HPV16 DNA detection as independent predictors. CONCLUSIONS: ECE and HPV16 DNA status should be included in the prognostic staging of patients with p16-positive OPSCC because several lines of evidence demonstrate their impact on survival.

Discrimination of Head and Neck Squamous Cell Carcinoma Patients and Healthy Adults by 10-Color Flow Cytometry: Development of a Score Based on Leukocyte Subsets.

BACKGROUND: Leukocytes in peripheral blood (PB) are prognostic biomarkers in head and neck squamous cell carcinoma cancer patients (HNSCC-CPs), but differences between HNSCC-CPs and healthy adults (HAs) are insufficiently described. METHODS: 10-color flow cytometry (FCM) was used for in-depth immunophenotyping of PB samples of 963 HAs and 101 therapy-naïve HNSCC-CPs. Absolute (AbsCC) and relative cell counts (RelCC) of leukocyte subsets were determined. A training cohort (TC) of 43 HNSCC-CPs and 43 HAs, propensity score (PS)-matched according to age, sex, alcohol, and smoking, was used to develop a score consecutively approved in a validation cohort (VC). RESULTS: Differences in AbsCC were detected in leukocyte subsets (p < 0.001), but had low power in discriminating HNSCC-CPs and HAs. Consequently, RelCC of nine leukocyte subsets in the TC were used to calculate 36 ratios; receiver operating characteristic (ROC) curves defined optimum cut-off values. Binary classified data were combined in a score based on four ratios: monocytes-to-granulocytes (MGR), classical monocytes-to-monocytes (clMMR), monocytes-to-lymphocytes (MLR), and monocytes-to-T-lymphocytes (MTLR); ≥3 points accurately discriminate HNSCC-CPs and HAs in the PS-matched TC (p = 2.97 × 10-17), the VC (p = 4.404 × 10-178), and both combined (p = 7.74 × 10-199). CONCLUSIONS: RelCC of leukocyte subsets in PB of HNSCC-CPs differ significantly from those of HAs. A score based on MGR, clMMR, MLR, and MTLR allows for accurate discrimination.