Patients with recurrent or metastatic head and neck cancers (R/M HNCs) are prone to developing resistance after immunotherapy. This retrospective real-world study aims to investigate whether the addition of anlotinib can reverse resistance to PD-1 inhibitors (PD-1i) and evaluate the efficacy and safety of this combination in R/M HNCs. Main outcomes included objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), duration of response (DOR), and safety. Potential biomarkers included PD-L1 expression, lipid index, and genomic profiling. Twenty-one patients with R/M HNCs were included, including 11 nasopharyngeal carcinoma (NPC), five head and neck squamous cell carcinoma (HNSCC), three salivary gland cancers (SGC), and two nasal cavity or paranasal sinus cancers (NC/PNC). Among all patients, ORR was 47.6% (95% CI: 28.6-66.7), with 2 (9.5%) complete response; DCR was 100%. At the median follow-up of 17.1 months, the median PFS and OS were 14.3 months (95% CI: 5.9-NR) and 16.7 months (95% CI:8.4-NR), respectively. The median DOR was 11.2 months (95% CI: 10.1-NR). As per different diseases, the ORR was 45.5% for NPC, 60.0% for HNSCC, 66.7% for SGC, and 50.0% for NC/PNC. Most treatment-related adverse events (TRAEs) were grade 1 or 2 (88.9%). The most common grades 3-4 TRAE was hypertension (28.6%), and two treatment-related deaths occurred due to bleeding. Therefore, adding anlotinib to the original PD-1i could reverse PD-1 blockade resistance, with a favorable response rate, prolonged survival, and acceptable toxicity, indicating the potential as a second-line and subsequent therapy choice in R/M HNCs.

OBJECTIVE: The aim of this study was to explore the relationship between the EAT-Lancet diet (ELD) and head and neck cancers (HNCs) in 101,755 Americans enrolled in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.
METHODS: Prospective cohort study.
METHODS: ELD score was calculated to assess participant\'s adherence to ELD. Cox hazard regression models were utilised to evaluate the association of ELD and dietary components with HNC risk. Restricted cubic spline (RCS) plots were employed to explore the linearity of the relationships. Predefined subgroup analyses and sensitivity analyses were performed to identify potential effect modifiers and to assess the stability of the findings, respectively.
RESULTS: After a mean follow-up of 8.84 years, 279 cases of HNCs, including 169 cases of oral cavity and pharyngeal cancers and 110 cases of laryngeal cancer were recorded. This study observed a dose-response negative correlation between ELD and HNCs (hazard ratio [HR]Q4 vs Q1: 0.52; 95% confidence interval [CI]: 0.34, 0.80; P-trend = 0.003; HRper SD increment: 0.80; 95% CI: 0.71, 0.91), and oral cavity and pharyngeal cancers (HRQ4 vs Q1: 0.52; 95% CI: 0.31, 0.88; P-trend = 0.008; HRper SD increment: 0.78; 95% CI: 0.66, 0.92). Analysis using RCS plots indicated a significant linear association between adherence to the ELD and reduced risk of HNCs and oral cavity and pharyngeal cancers (P-nonlinearity > 0.05). Subgroup analysis did not reveal significant interaction factors (P-interaction > 0.05), and sensitivity analysis confirmed the robustness of this study. Additionally, negative correlations were found between the consumption of fruits and whole grains and HNCs (fruits: HRQ4 vs Q1: 0.58; 95% CI: 0.40, 0.84; P-trend = 0.010; whole grains: HRQ4 vs Q1: 0.51; 95% CI: 0.26, 0.97; P-trend = 0.004).
CONCLUSIONS: Adherence to ELD contributes to the prevention of HNCs.

The incidence of human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) is rising in the West, but little is known in Asia. This study elucidated changes in the incidence and HPV-positive portion of OPSCC in Hong Kong. Data from population-based cancer registry were used to analyze the incidence of OPSCC in association with other head and neck cancers. Archived tumor tissues were tested for HPV. From 1986 to 2020, there was a marked decrease in the incidence of nasopharyngeal and laryngeal cancers, but a persistent increase in OPSCC from 36 cases in 1986 to 116 cases in 2020. The average positive rate for high-risk HPV was 36.1% (112/310) among OPSCC diagnosed in 2010-2020. The HPV-positive rate in recent years was significantly higher than earlier cases (tonsil SCC: 64.7% (55/85) in 2016-2020 vs. 40.4% (19/47) in 2010-2015, p = 0.007). Patients with HPV-positive tonsil cancers were significantly younger than those negative (mean [SD]: 58.9 [9.9] vs. 64.3 [13.3] years, p = 0.006), but no significant difference was observed between genders. A persistent increase in the incidence of oropharyngeal cancer over the last few decades was observed in Hong Kong, which can be explained by the remarkable increase in HPV-positive tonsil cancers.

Phosphatidylcholine (PC) and lysophosphatidylcholine (LPC), two types of phospholipids (PLs), have been reported to be closely correlated with head and neck cancers of laryngeal cancer (LC) and thyroid cancer (TC), which make their analysis crucial. TiO2@COF-based solid-phase microextraction (SPME) coupled to UHPLC-MS/MS was developed for the rapid and accurate detection of seven potential PL biomarkers from small amounts of serum in this work. The combination of TiO2 and COF proves to be effective for the extraction of the target analytes. Under optimal conditions, the developed TiO2@COF-based SPME-UHPLC-MS/MS method revealed good linearity (R2 ≥ 0.997) with LODs ranging from 0.05 to 0.38 ng/mL for PLs, the extraction recoveries and matrix effects ranging from 83.09-112.03% and 85.38-113.67%, respectively. As a high-throughput pretreatment method, satisfactory probe-to-probe reproducibility rates of 2.7-10.1% were obtained. Finally, the TiO2@COF-based SPME-UHPLC-MS/MS method was applied to analyze LPC 14:0, LPC 16:0, LPC 18:0, LPC 18:1, LPC 19:0, PC 16:0/18:1, and PC 18:0 in serum samples from early LC patients (n = 15), early TC patients (n = 15), and healthy volunteers (n = 15). The results indicated that cancer patients could be effectively differentiated from healthy controls using orthogonal partial least squares discriminant analysis (OPLS-DA). In conclusion, the established TiO2@COF-based SPME-UHPLC-MS/MS method is reliable for the rapid determination of the seven PLs in serum samples, which is promising for early diagnosis of head and neck cancers.

Cancer driver genes (CDGs) and the driver mutations disrupt the homeostasis of numerous critical cell activities, thereby playing a critical role in tumor initiation and progression. In this study, integrative bioinformatics analyses were performed based on a series of online databases, aiming to identify driver genes with high frequencies of mutations in head and neck cancers. Higher myeloma overexpressed (MYEOV) genetic variation frequency and expression level were connected to a poorer prognosis in head and neck cancer patients. MYEOV was dramatically upregulated within head and neck tumor samples and cells. Consistently, MYEOV overexpression remarkably enhanced the aggressiveness of head and neck cancer cells by promoting colony formation, cell invasion, and cell migration. Conversely, MYEOV knockdown attenuated cancer cell aggressiveness and inhibited tumor growth and metastasis in the oral orthotopic tumor model. In conclusion, MYEOV is overexpressed in head and neck cancer, with greater mutation frequencies correlating to a poorer prognosis in head and neck cancer patients. MYEOV serves as an oncogene in head and neck cancer through the promotion of tumor cell colony formation, invasion, and migration, as well as promoting tumor growth and metastasis in the oral orthotopic tumor model.

To investigate the role of induction chemotherapy (IC) in lymph node-positive (LN-positive) stage III nasopharyngeal carcinoma (NPC) receiving concurrent chemoradiotherapy (CCRT).
In total, 627 patients with newly diagnosed LN-positive stage III NPC receiving CCRT or IC plus CCRT were included. The primary endpoint was progression-free survival (PFS). Propensity-score matching (PSM) was conducted to balance the intergroup covariates. Kaplan-Meier method with log-rank test was employed to compare survival curves. Subgroup analyses were conducted based on baseline characteristics.
After 1:1 PSM, 414 patients were identified (207 patients per group). Compared with CCRT, IC plus CCRT provided better survival (5-year PFS 88.4% vs. 78.6%, P = 0.01; overall survival [OS] 94.8% vs. 85.3%, P = 0.003; and distant metastasis-free survival [DMFS] 93.1% vs. 85.6%, P = 0.03). The IC beneficial effects on PFS were mainly present in patients with grade 2-3 ENE, elevated serum lactate dehydrogenase (LDH > 170U/L), and N2 disease. Patients with grade 2 CNN had comparable PFS benefits to those with grade 0-1 CNN. For patients with grade 0-1 ENE combined with LDH ≤ 170U/L, survival between the two groups was similar with 5-year PFS 93.6% vs. 90.4% (P = 0.50), OS 94.2% vs. 93.0% (P = 0.72), and DMFS 98.6% vs. 97.7% (P = 0.98).
Adding IC before CCRT improved survival in LN-positive stage III NPC patients. Additional IC did not provide better survival for patients with grade 0-1 ENE combined with LDH ≤ 170U/L and could be avoided in this population. CNN may not be a good risk factor for tailoring a personalized treatment plan.

    This study explored the soluble forms of PD-1 and sPD-L1/2 in serum and urine of patients with head and neck cancer (HNCs) and associated the data with clinical state and 5-year survival. The sPD-1 and sPD-L1/2 levels were evaluated by ELISA in sufferers (N=110) and normal controls (N=82). Patients in the case group were more likely to be male smokers or former smokers. Compared with the normal control group, the serum levels of sPD-1, sPD-L1 and sPD-L2 and the urine level of sPD-L1 in patients with HNCs were increased. Furthermore, sPD-1 and sPD-L1 serum levels existed a positive connection, and sPD-1 and sPD-L2 serum levels positively correlated in HNCs sufferers. The urine sPD-1 and sPD-L1 had a positive relationship. sPD-1 serum levels had a positive connection with urine sPD-1, sPD-L1 urine levels had a positive relationship with sPD-L1, and sPD-L2 serum levels positively connected to urine sPD-L2. Lower serum sPD-1 and sPD-L1/L2 were associated with disease progression and survival at the examination time. sPD-1 and sPD-L1/L2 serum levels above median were markedly related to a decreased probability of 5-years OS in patients with HNCs. The sPD-1 and sPD-L1/2 were complementary markers representing clinical condition and illness outcomes for HNCs patients. The sPD-L1 might accelerate the characterization of high-risk patients with disapproving illness outcomes. sPD-1 and sPD-L1/2 could be easily accessed through liquid biopsy. The incorporation of them as indicators for risk evaluation throughout treatment scheduling and follow-up seems to be an appreciated method.

UNASSIGNED: To compare the efficacy and toxicity of adjuvant proton beam vs. carbon-ion beam radiotherapy for head and neck cancers after radical resection and to explore the value of particle beam radiotherapy (PBRT) in postoperative radiotherapy for head and neck cancers.
UNASSIGNED: Data from 38 head and neck cancer patients who received adjuvant PBRT after complete surgical resection at the Shanghai Proton and Heavy Ion Center (SPHIC) between October 2015 and March 2019 were retrospectively analyzed. In total, 18 patients received adjuvant proton beam therapy (54-60 GyE/27-30 fractions) and 20 received adjuvant carbon-ion radiotherapy (CIRT) (54-60 GyE/18-20 fractions). Survival rates were calculated using Kaplan-Meier analysis. Toxicity was evaluated according to the Common Terminology Criteria for Adverse Effects (version 4.03).
UNASSIGNED: With a median follow-up time of 21 (range, 3-45) months, the 2-year overall survival (OS), progression-free survival (PFS), local-regional recurrence-free survival (LRRFS) and distant metastasis-free survival (DMFS) rates were 93.3%, 87.4%, 94.1%, and 90.7%, respectively, for the entire cohort. The rates after proton beam therapy vs. CIRT were 94.1% vs. 91.7% (P=0.96), 88.1% vs. 86.2% (P=0.96), 94.4% vs. 93.3% (P=0.97), and 88.1% vs. 92.9% (P=0.57), respectively. Furthermore, 16 of the 18 (88.9%) patients developed acute grade I/II dermatitis (13 grade I; 3 grade II) after proton beam therapy, and only 7 of the 20 (35%) patients developed acute grade I dermatitis after CIRT (P=0.001). The incidence of acute grade I/II mucositis and xerostomia in proton and carbon ion cases were 45% vs. 55% (P=0.75) and 56% vs. 50% (P=0.87) respectively.
UNASSIGNED: Adjuvant proton beam therapy and CIRT after radical surgical resection for head and neck cancers provided satisfactory therapeutic effectiveness, but no significant difference was observed between the two radiotherapy technologies. However, adjuvant CIRT was associated with a more favorable acute toxicity profile as compared to proton beam therapy with significantly lower frequency and severity of acute dermatitis observed.

OBJECTIVE: A reliable locoregional recurrence (LRR) prediction model is important for the personalized management of head and neck cancers (HNC) patients who received radiotherapy. This work aims to develop a delta-radiomics feature-based multi-classifier, multi-objective, and multi-modality (Delta-mCOM) model for post-treatment HNC LRR prediction. Furthermore, we aim to adopt a learning with rejection option (LRO) strategy to boost the reliability of Delta-mCOM model by rejecting prediction for samples with high prediction uncertainties.
METHODS: In this retrospective study, we collected PET/CT image and clinical data from 224 HNC patients who received radiotherapy (RT) at our institution. We calculated the differences between radiomics features extracted from PET/CT images acquired before and after radiotherapy and used them in conjunction with pre-treatment radiomics features as the input features. Using clinical parameters, PET radiomics features, and CT radiomics features, we built and optimized three separate single-modality models. We used multiple classifiers for model construction and employed sensitivity and specificity simultaneously as the training objectives for each of them. Then, for testing samples, we fused the output probabilities from all these single-modality models to obtain the final output probabilities of the Delta-mCOM model. In the LRO strategy, we estimated the epistemic and aleatoric uncertainties when predicting with a trained Delta-mCOM model and identified patients associated with prediction of higher reliability (low uncertainty estimates). The epistemic and aleatoric uncertainties were estimated using an AutoEncoder-style anomaly detection model and test-time augmentation (TTA) with predictions made from the Delta-mCOM model, respectively. Predictions with higher epistemic uncertainty or higher aleatoric uncertainty than given thresholds were deemed unreliable, and they were rejected before providing a final prediction. In this study, different thresholds corresponding to different low-reliability prediction rejection ratios were applied. Their values are based on the estimated epistemic and aleatoric uncertainties distribution of the validation data.
RESULTS: The Delta-mCOM model performed significantly better than the single-modality models, whether trained with pre-, post-treatment radiomics features or concatenated BaseLine and Delta-Radiomics Features (BL-DRFs). It was numerically superior to the PET and CT fused BL-DRF model (nonstatistically significant). Using the LRO strategy for the Delta-mCOM model, most of the evaluation metrics improved as the rejection ratio increased from 0% to around 25%. Utilizing both epistemic and aleatoric uncertainty for rejection yielded nonstatistically significant improved metrics compared to each alone at approximately a 25% rejection ratio. Metrics were significantly better than the no-rejection method when the reject ratio was higher than 50%.
CONCLUSIONS: The inclusion of the delta-radiomics feature improved the accuracy of HNC LRR prediction, and the proposed Delta-mCOM model can give more reliable predictions by rejecting predictions for samples of high uncertainty using the LRO strategy.

Radiotherapy for head-and-neck cancers frequently causes long-term hypofunction of salivary glands that severely compromises quality of life and is difficult to treat. Here, we studied effects and mechanisms of Sphingosine-1-phosphate (S1P), a versatile signaling sphingolipid, in preventing irreversible dry mouth caused by radiotherapy. Mouse submandibular glands (SMGs) were irradiated with or without intra-SMG S1P pretreatment. The saliva flow rate was measured following pilocarpine stimulation. The expression of genes related to S1P signaling and radiation damage was examined by flow cytometry, immunohistochemistry, quantitative RT-PCR, Western blotting, and/or single-cell RNA-sequencing. S1P pretreatment ameliorated irradiation-induced salivary dysfunction in mice through a decrease in irradiation-induced oxidative stress and consequent apoptosis and cellular senescence, which is related to the enhancement of Nrf2-regulated anti-oxidative response. In mouse SMGs, endothelial cells and resident macrophages are the major cells capable of producing S1P and expressing the pro-regenerative S1P receptor S1pr1. Both mouse SMGs and human endothelial cells are protected from irradiation damage by S1P pretreatment, likely through the S1pr1/Akt/eNOS axis. Moreover, intra-SMG-injected S1P did not affect the growth and radiosensitivity of head-and-neck cancer in a mouse model. These data indicate that S1P signaling pathway is a promising target for alleviating irradiation-induced salivary gland hypofunction.