Neoadjuvant chemotherapy enhances tumor-specific T cell immunity in patients with HPV-associated oropharyngeal cancer

BACKGROUND: Treatment of patients with newly diagnosed HPV-associated oropharyngeal squamous cell carcinoma (OPSCC) with neoadjuvant chemotherapy (NAC) results in a high rate of 5-year recurrence free survival with few patients requiring adjuvant treatment. We hypothesized that NAC enhances primary tumor HPV-specific T cell responses. METHODS: HPV-specific responses in tumor infiltrating lymphocytes (TILs) before and after NAC were determined using autologous co-culture assays. RESULTS: Greater HPV16-specific TIL responses, sometimes polyclonal, were observed after NAC compared to before in 8 of 10 patients (80%) with PCR-verified HPV16-positive tumors. A significant association was observed between net-negative change in HPV-specific TIL response and disease relapse (p = 0.04, Mann-Whitney test), whereas pathologic complete response at time of surgery did not correlate with recurrence. CONCLUSIONS: NAC induces HPV-specific tumor T cell responses in patients with newly diagnosed HPV-associated OPSCC; whereas lack of an increase following NAC may associate with risk of relapse

Tall cell variant papillary thyroid carcinoma impacts disease-free survival at the 10 % cut-point on multivariate analysis

INTRODUCTION: The diagnosis of tall cell variant papillary thyroid carcinoma (TCV-PTC) corresponds to the feature of aggressive histology within the framework of the American Thyroid Association (ATA) Risk of Recurrence (ROR) guidelines. Using the current World Health Organization (WHO) definition for TCV-PTC (tall cells with height at least twice the width, distribution ≥ 30 %), we examined the impact of this diagnosis on disease-free survival (DFS). METHODS: The study cohort consisted of 347 patients treated for primary papillary thyroid carcinoma (PTC). Current ATA guidelines were followed for the extent of surgery and the administration of adjuvant radioiodine therapy. Clinical surveillance included ultrasound examination and biochemical parameters according to ATA standards. The outcome was measured as time from surgery to first disease recurrence (DR) versus time from surgery until the last documented disease-free encounter (no evidence of disease, NED). Disease-free patients with fewer than 6 months of follow-up were excluded from this cohort. Structural recurrences are documented by histology or cytology whereas biochemical recurrences are documented by rising serum thyroglobulin in the absence of structural disease. All slides on all patients were examined by two pathologists with the substantial interobserver agreement (Kappa = 73 %). The primary tumors are categorically classified either as (1) TCV-PTC (definition above), (2) Papillary thyroid carcinoma with tall cell features (PTC-TCF) (≥ 10 % \u3c 30 % tall cells), or (3) Control (\u3c 10 % tall cells). Tumor size is categorized as either (1) ≤ 10 mm, (2) 11-29 mm, or (3) ≥ 30 mm. Degree of ETE is categorized as either intrathyroidal, microscopic ETE, histologic spread to strap muscles, or pT4 disease. RESULTS: 185 patients are classified as TCV-PTC (≥ 30 % tall cells), 62 as PTC-TCF (≥ 10 % \u3c 30 % tall cells), and 100 as control group (\u3c 10 % tall cells). TCV-PTC is associated with ≥ 30 mm size (p = .0246) and invasion of strap muscles and/or pT4 (p = .0325). There was no relationship between TCV-PTC and aggressive lymph node (ALN) status defined by ATA. Overall follow-up ranged from two months (one patient death) to 203 months (mean 40.8, median 33.0). DR occurred in 61 patients (mean 31.4 months, range 0 -184, 59 structural recurrences, 2 biochemical recurrences). Three models for TCV-PTC were examined: Model 1 - Tall cells ≥ 10% versus control, Model 2 - TCV-PTC versus TCF-PTC versus control, and Model 3 - TCV-PTC versus control. Kaplan Meier curves demonstrated decreased DFS with ALN status (p = .0001), ETE (p = .0295), and TCV-PTC (Model 1, p = .041). On multivariate analysis, TCV-PTC (Model 1) remained significantly predictive when adjusted for ALN (p = .0059). ETE dropped out of the model. CONCLUSION: TCV-PTC is significantly associated with larger tumors and a greater degree of ETE. The diagnosis of TCV-PTC significantly impacts DFS at the 10 % cut-point on multivariate analysis

Histology segmentation using active learning on regions of interest in oral cavity squamous cell carcinoma

In digital pathology, deep learning has been shown to have a wide range of applications, from cancer grading to segmenting structures like glomeruli. One of the main hurdles for digital pathology to be truly effective is the size of the dataset needed for generalization to address the spectrum of possible morphologies. Small datasets limit classifiers’ ability to generalize. Yet, when we move to larger datasets of whole slide images (WSIs) of tissue, these datasets may cause network bottlenecks as each WSI at its original magnification can be upwards of 100 000 by 100 000 pixels, and over a gigabyte in file size. Compounding this problem, high quality pathologist annotations are difficult to obtain, as the volume of necessary annotations to create a classifier that can generalize would be extremely costly in terms of pathologist-hours. In this work, we use Active Learning (AL), a process for iterative interactive training, to create a modified U-net classifier on the region of interest (ROI) scale. We then compare this to Random Learning (RL), where images for addition to the dataset for retraining are randomly selected. Our hypothesis is that AL shows benefits for generating segmentation results versus randomly selecting images to annotate. We show that after 3 iterations, that AL, with an average Dice coefficient of 0.461, outperforms RL, with an average Dice Coefficient of 0.375, by 0.086

WPOI-5: Accurately Identified at Intraoperative Consultation and Predictive of Occult Cervical Metastases

BACKGROUND: Frozen section analysis of oral cancer specimens is ideal for assessing margin distances and depth of invasion (DOI); the latter impacts intraoperative decisions regarding elective neck dissection (END). Here, we show that intraoperative determination of worst pattern of invasion (WPOI), specifically WPOI-5, has a high level of accuracy. This relates to our demonstration herein that WPOI-5 predicts occult cervical metastases (OCM) for pT1 oral squamous carcinoma (OSC). METHODS: The presence of OCM was correlated with WPOI in 228 patients with primary T1/T2/cN0 OSC undergoing resection and END. Concordance between intraoperative and final pathology WPOI determination was assessed on 51 cases of OSC. RESULTS: WPOI-5 predicts OCM in pT1 patients, compared with WPOI-4/WPOI-3 (p \u3c 0.0001). Most pT1 WPOI-5 tumors had DOI of 4-5 mm (24/59 or 40.7%). Only two pT1 WPOI-5 tumors had DOI \u3c 4 mm (3.0 and 3.5 mm). If END were performed in this pT1 cohort for all WPOI-5 OSC patients regardless of DOI, OR all OSC patients with DOI ≥ 4 mm regardless of WPOI, then no OCM would be missed (p = 0.017, 100% sensitivity, 29% specificity, 77% positive predictive value, 23% negative predictive value). With respect to intraoperative WPOI-5 determination, the accuracy, sensitivity, and specificity was 92.16, 73.33, and 100.0%, respectively. CONCLUSIONS: DOI ≥ 4 mm is the dominant predictor of OCM. For the rare WPOI-5 OSC with DOI \u3c 4 mm, it is reasonable to suggest that surgeons perform END. WPOI-5 may be accurately determined intraoperatively. As microscopic instruction is needed to accurately assess WPOI-5, a teaching link is included in this manuscript