Adjuvant radiotherapy mitigates impact of perineural invasion on oncologic outcomes in early-stage oral cavity squamous cell carcinoma. A multi-institutional analysis of 557 patients.

OBJECTIVES: Understand the prognostic impact of perineural invasion (PNI) in early-stage oral cavity squamous cell carcinoma (OCSCC). Assess the influence of adjuvant radiotherapy on outcomes of patients with PNI-positive early-stage OCSCC. MATERIALS AND METHODS: Retrospective seven-institution cohort study including patients with pathologic T1-2 N0-1 OCSCC who underwent primary surgery with negative margins. Outcomes included disease-free survival (DFS) and locoregional control (LRC). Cox proportional hazards models were used to evaluate oncologic outcomes. Interaction terms were introduced to assess relationships between PNI and adjuvant radiotherapy. RESULTS: Among 557 patients (mean (SD) age 61.0 (13.9), 47.2% female, 66.6% pathologic T1, 93.5% pathologic N0), 93 had PNI-positive tumors, among which 87.1% underwent neck dissection and 39.6% received radiotherapy. On multivariable analysis, PNI was associated with lower DFS and LRC. Adjuvant radiotherapy was not associated with improved outcomes on multivariable analysis of the entire cohort. However, among patients with PNI-positive tumors, adjuvant radiotherapy significantly decreased hazard for DFS. CONCLUSION: Among patients with low-risk, early-stage OCSCC, PNI was associated with worse DFS and LRC. In patients with PNI-positive tumors, adjuvant radiotherapy lowered hazard for DFS on multivariable analysis. These data support using adjuvant radiotherapy for patients with early-stage OCSCC with PNI.

Assessing Prognostic Value of Quantitative Neck Dissection Quality Measures in Patients With Clinically Node-Negative Oral Cavity Squamous Cell Carcinoma.

Importance: In clinically localized (T1-2) oral cavity squamous cell carcinoma (OCSCC), regional lymph node metastasis is associated with a poor prognosis. Given the high propensity of subclinical nodal disease in these patients, upfront elective neck dissections (END) for patients with clinically node-negative disease are common and associated with better outcomes. Unfortunately, even with this risk-adverse treatment paradigm, disease recurrence still occurs, and our understanding of the factors that modulate this risk and alter survival have yet to be fully elucidated. Objective: To investigate the prognostic value of lymph node yield (LNY), lymph node ratio (LNR), and weighted LNR (wLNR) in patients with clinically node-negative T1-2 OCSCC. Design, Setting, and Participants: In this cohort study, data were collected retrospectively from 7 tertiary care academic medical centers. Overall, 523 patients with cT1-2N0 OCSCC who underwent elective neck dissections after primary surgical extirpation were identified. Exposures: Lymph node yield was defined as the number of lymph nodes recovered from elective neck dissection. Lymph node ratio was defined as the ratio of positive nodes against total LNY. Weighted LNR incorporated information from both LNY and LNR into a single continuous metric. Main Outcomes and Measures: Locoregional control (LRC) and disease-free survival (DFS) were both evaluated using nonparametric Kaplan-Meier estimators and semiparametric Cox regression. Results: On multivariable analysis, LNY less than or equal to 18 lymph nodes was found to be significantly associated with decreased LRC (aHR, 1.53; 95% CI, 1.04-2.24) and DFS (aHR, 1.46; 95% CI, 1.12-1.92) in patients with pN0 disease, but not those with pN-positive disease. Importantly, patients with pN0 disease with LNY less than or equal to 18 and those with pN1 diseasehad nearly identical 5-year LRC (69.7% vs 71.4%) and DFS (58.2% vs 55.7%). For patients with pN-positive disease, LNR greater than 0.06 was significantly associated with decreased LRC (aHR, 2.66; 95% CI, 1.28-5.55) and DFS (aHR, 1.65; 95% CI, 1.07-2.53). Overall, wLNR was a robust prognostic variable across all patients with cN0 disease, regardless of pathologic nodal status. Risk stratification via wLNR thresholds demonstrated greater optimism-corrected concordance compared with American Joint Committee on Cancer (AJCC) 8th edition nodal staging for both LRC (0.61 vs 0.57) and DFS (0.61 vs 0.58). Conclusions and Relevance: Movement toward more robust metrics that incorporate quantitative measures of neck dissection quality and regional disease burden, such as wLNR, could greatly augment prognostication in cT1-2N0 OCSCC by providing more reliable and accurate risk estimations.

Development and Validation of Machine Learning Models for Predicting Occult Nodal Metastasis in Early-Stage Oral Cavity Squamous Cell Carcinoma.

Importance: Given that early-stage oral cavity squamous cell carcinoma (OCSCC) has a high propensity for subclinical nodal metastasis, elective neck dissection has become standard practice for many patients with clinically negative nodes. Unfortunately, for most patients without regional metastasis, this risk-averse treatment paradigm results in unnecessary morbidity. Objectives: To develop and validate predictive models of occult nodal metastasis from clinicopathological variables that were available after surgical extirpation of the primary tumor and to compare predictive performance against depth of invasion (DOI), the currently accepted standard. Design, Setting, and Participants: This diagnostic modeling study collected clinicopathological variables retrospectively from 7 tertiary care academic medical centers across the US. Participants included adult patients with early-stage OCSCC without nodal involvement who underwent primary surgical extirpation with or without upfront elective neck dissection. These patients were initially evaluated between January 1, 2000, and December 31, 2019. Exposures: Largest tumor dimension, tumor thickness, DOI, margin status, lymphovascular invasion, perineural invasion, muscle invasion, submucosal invasion, dysplasia, histological grade, anatomical subsite, age, sex, smoking history, race and ethnicity, and body mass index (calculated as weight in kilograms divided by height in meters squared). Main Outcomes and Measures: Occult nodal metastasis identified either at the time of elective neck dissection or regional recurrence within 2 years of initial surgery. Results: Of the 634 included patients (mean [SD] age, 61.2 [13.6] years; 344 men [54.3%]), 114 (18.0%) had occult nodal metastasis. Patients with occult nodal metastasis had a higher frequency of lymphovascular invasion (26.3% vs 8.1%; P < .001), perineural invasion (40.4% vs 18.5%; P < .001), and margin involvement by invasive tumor (12.3% vs 6.3%; P = .046) compared with those without pathological lymph node metastasis. In addition, patients with vs those without occult nodal metastasis had a higher frequency of poorly differentiated primary tumor (20.2% vs 6.2%; P < .001) and greater DOI (7.0 vs 5.4 mm; P < .001). A predictive model that was built with XGBoost architecture outperformed the commonly used DOI threshold of 4 mm, achieving an area under the curve of 0.84 (95% CI, 0.80-0.88) vs 0.62 (95% CI, 0.57-0.67) with DOI. This model had a sensitivity of 91.7%, specificity of 72.6%, positive predictive value of 39.3%, and negative predictive value of 97.8%. Conclusions and Relevance: Results of this study showed that machine learning models that were developed from multi-institutional clinicopathological data have the potential to not only reduce the number of pathologically node-negative neck dissections but also accurately identify patients with early OCSCC who are at highest risk for nodal metastases.