Survival Of Head And Neck Squamous Cell Carcinoma Patients Research Articles

Systemic Metabolic and Volumetric Assessment via Whole-Body [18F]FDG-PET/CT: Pancreas Size Predicts Cachexia in Head and Neck Squamous Cell Carcinoma

Background/Objectives: Cancer-associated cachexia in head and neck squamous cell carcinoma (HNSCC) is challenging to diagnose due to its complex pathophysiology. This study aimed to identify metabolic biomarkers linked to cachexia and survival in HNSCC patients using [18F]FDG-PET/CT imaging and machine learning (ML) techniques. Methods: We retrospectively analyzed 253 HNSCC patients from Vienna General Hospital and the MD Anderson Cancer Center. Automated organ segmentation was employed to quantify metabolic and volumetric data from [18F]FDG-PET/CT scans across 29 tissues and organs. Patients were categorized into low weight loss (LoWL; grades 0–2) and high weight loss (HiWL; grades 3–4) groups, according to the weight loss grading system (WLGS). Machine learning models, combined with Cox regression, were used to identify survival predictors. Shapley additive explanation (SHAP) analysis was conducted to determine the significance of individual features. Results: The HiWL group exhibited increased glucose metabolism in skeletal muscle and adipose tissue (p = 0.01), while the LoWL group showed higher lung metabolism. The one-year survival rate was 84.1% in the LoWL group compared to 69.2% in the HiWL group (p < 0.01). Pancreatic volume emerged as a key biomarker associated with cachexia, with the ML model achieving an AUC of 0.79 (95% CI: 0.77–0.80) and an accuracy of 0.82 (95% CI: 0.81–0.83). Multivariate Cox regression confirmed pancreatic volume as an independent prognostic factor (HR: 0.66, 95% CI: 0.46–0.95; p < 0.05). Conclusions: The integration of metabolic and volumetric data provided a strong predictive model, highlighting pancreatic volume as a key imaging biomarker in the metabolic assessment of cachexia in HNSCC. This finding enhances our understanding and may improve prognostic evaluations and therapeutic strategies.

Integrative analysis of FADS3 as a marker for prognosis and immunity in head and neck squamous cell carcinoma

BackgroundLong-chain polyunsaturated fatty acid formation requires fatty acid desaturase (FADS), which is strongly linked to cancer progression. Nevertheless, it's unclear how FADS3 functions in head and neck squamous cell carcinoma (HNSCC). MethodsHNSCC cases were retrieved from TCGA and GEO databases, and FADS members with transcriptionally differential expression were identified. Clinical survival, tumor microenvironment (TME), and potential pathogenic mechanism in HNSCC were also investigated. These results were validated using tissue staining, flow cytometry and functional studies in HNSCC cell lines. ResultsWhen comparing HNSCC to normal epithelial tissues, FADS3 expression was much higher in the former. FADS3 upregulation was correlated with poor clinical outcomes. FADS3 was an independent prognostic factor for poor overall survival in HNSCC patients. KEGG, GO, and GSEA revealed that FADS3 expression correlated with several immune-related pathways and the epithelial-mesenchymal transition (EMT). Knocking down FADS3 restrained HNSCC cell proliferation, migration, invasion, and EMT. Single-cell dataset analysis showed an association between FADS3 and TME features. Further investigation revealed that FADS3high tumor was accompanied with less CD8+ T cells in situ tissue and peripheral blood. FADS3 was positively correlated with immune-related molecules and could predict the adverse efficacy of immunotherapy. Finally, we constructed a CYTOR/hsa-let-7c-5p axis regulating FADS3 expression in HNSCC progression. ConclusionsFADS3 may represent a target for treatment in HNSCC, which is linked to prognosis, EMT, immune infiltration, and ceRNA regulatory network of HNSCC.

Exploring the impact of GSTM1 as a novel molecular determinant of survival in head and neck cancer patients of African descent

BackgroundBlacks/African American (BAA) patients diagnosed with head and neck squamous cell carcinoma (HNSCC) have worse survival outcomes than White patients. However, the mechanisms underlying racial disparities in HNSCC have not been thoroughly characterized.MethodsData on gene expression, copy number variants (CNVs), gene mutations, and methylation were obtained from 6 head and neck cancer datasets. Comparative bioinformatics analysis of the above genomic features was performed between BAAs and Whites. The expression pattern of GSTM1 was validated by immunohistochemistry using tumor tissue microarray (TMA). Effect of GSTM1 knockdown were assessed by cell proliferation, colony formation, and tumor development in an orthotopic mouse model. The changes in protein kinases were determined using the Proteome Profiler Human Phospho-Kinase Array Kit in HNSCC cells with or without GSTM1 knockdown.ResultsWe identified ancestry-related differential genomic profiles in HNSCC. Specifically, in BAA HNSCC, FAT1 mutations were associated with its gene expression, SALL3 gene expression correlated with its gene CNVs, and RTP4 gene expression showed an inverse correlation with its methylation. Notably, GSTM1 emerged as a prognostic risk factor for BAA HNSCC, with high gene CNVs and expression levels correlating with poor overall survival in BAA patients. Immunohistochemistry results from newly developed in-house TMA validated the expression pattern of GSTM1 between BAA HNSCC and White HNSCC. In an orthotopic mouse model, GSTM1 knockdown significantly inhibited malignant progression in tumors derived from BAAs. In contrast, loss of GSTM1 did not affect the development of HNSCC originating in Whites. Mechanistically, GSTM1 knockdown suppressed HSP27 phosphorylation and β-catenin in BAA HNSCC cells, but not in White HNSCC cells. This differential effect at least partially contributes to tumor development in BAA patients.ConclusionThis study identifies GSTM1 as a novel molecular determinant of survival in HNSCC patients of African descent. It also provides a molecular basis for future research focused on identifying molecular determinants and developing therapeutic interventions to improve outcomes for BAA patients with HNSCC.

Construction and assessment of an angiogenesis-related gene signature for prognosis of head and neck squamous cell carcinoma

ObjectiveAngiogenesis-associated genes (AAGs) play a critical role in cancer patient survival. However, there are insufficient reports on the prognostic value of AAGs in head and neck squamous cell carcinoma (HNSC). Therefore, this study aimed to investigate the correlation between AAG expression levels and survival in HNSC patients, explore the predictive value of signature genes and lay the groundwork for future in-depth research.MethodsRelevant data for HNSC were obtained from the databases. AAGs-associated signature genes linked to prognosis were screened to construct a predictive model. Further analysis was conducted to determine the functional correlation of the signature genes.ResultsThe signature genes (STC1, SERPINA5, APP, OLR1, and PDGFA) were used to construct prognostic models. Patients were divided into high-risk and low-risk groups based on the calculated risk scores. Survival analysis showed that patients in the high-risk group had a significantly lower overall survival than those in the low-risk group (P < 0.05). Therefore, this prognostic model was an independent prognostic factor for predicting HNSC. In addition, patients in the low-risk group were more sensitive to multiple anti-cancer drugs. Functional correlation analysis showed a good correlation between the characteristic genes and HNSC metastasis, invasion, and angiogenesis.ConclusionThis study established a new prognostic model for AAGs and may guide the selection of therapeutic agents for HNSC. These genes have important functions in the tumor microenvironment; it also provides a valuable resource for the future clinical trials investigating the relationship between HNSC and AAGs.

Comprehensive bioinformatic profiling of matrix metalloproteinases and their inhibitors: Expression and interaction patterns in head and neck cancer toward predictive biomarkers and personalized therapies

ObjectiveMatrix metalloproteinases (MMPs) and Tissue inhibitors of metalloproteinases (TIMPs) are involved in the turnover of extracellular matrix (ECM) components. Overexpression of MMPs facilitates tumour progression by promoting ECM turnover, angiogenesis, and cell migration. Head and neck squamous cell carcinoma (HNSCC) exhibits significant upregulation of multiple MMPs and TIMPs, correlating with poor prognosis, using bioinformatics tools to analyse the expression profiles and prognostic significance of MMPs and TIMPs in HNSCC. Materials and methodsGEPIA and UALCAN databases were used to analyse the expression of MMPs and TIMPs in HNSCC tissues. Immunohistochemistry confirmed high protein levels of several MMPs in tumour samples. GeneMANIA, STRING, and Metascape analyses highlighted key functional relationships and pathways enriched in MMPs and TIMPs. Kaplan-Meier survival analyses were conducted to assess the prognostic significance of TIMPs in HNSCC. ResultsThe study found significant overexpression of MMP1, MMP2, MMP3, MMP9, and MMP14 in HNSCC tissues. Immunohistochemistry confirmed elevated protein levels of these MMPs in tumour samples. PPI network analyses indicated crucial interactions among MMPs and their regulatory pathways. TIMP1 was significantly upregulated in HNSCC, while TIMP3 downregulation correlated with increased MMP activity and tumour progression. According to Kaplan-Meier survival analyses, higher TIMP expression was associated with poor overall survival in HNSCC patients. ConclusionThis comprehensive study emphasises the dysregulation of MMPs and TIMPs in HNSCC, proposing them as potential biomarkers for early diagnosis and prognostic evaluation and suggesting them as therapeutic targets to improve clinical outcomes in HNSCC patients.

The expression of immune co-stimulators as a prognostic predictor of head and neck squamous cell carcinomas and oral squamous cell carcinomas

Background/purposeT cells require second immune checkpoint molecules for activation and immune memory after antigen presentation. We found that inducible co-stimulator (ICOS) has been a favorable prognostic factor amongst B7 immune checkpoint co-stimulators (ICSs) families in head and neck squamous cell carcinoma (HNSCC) and oral SCC (OSCC). Materials and methodsThis study analyzed the expression of non-B7 tumor necrosis factor (TNF) superfamily ICSs in the Cancer Genome Atlas (TCGA) HNSCC cohort, our OSCC cohort, and TCGA pan-cancer datasets. The correlation in expression, prognosis, and immune status was assessed. ResultsThe higher expression of CD27, CD30, CD40L, death domain 3 (DR3), and OX40, presumably on the T cell surface, defined better overall survival of HNSCC patients. Besides, CD27, CD30, CD40L, and OX40 were highly correlated with ICOS expression in tumors. CD27, CD40L, and DR3 expression are higher in HPV+ HNSCC tumors than in HPV- tumors. The combined expression level of CD27/OX40 or CD27/CD40L/OX40 enables the potent survival prediction of small, less nodal involvement, early stage, and HPV + tumor subsets. Tumors expressing high CD27, CD30, CD40L, ICOS, and OX40 exhibited enhanced immune cell infiltration. The high correlation in the expression of these ICSs was also noted in the vast majority of tumor types in TCGA datasets. ConclusionThe findings of this study not only confirm the potential of the concordant stimulation of CD27, CD30, CD40L, ICOS, and OX40 as a crucial strategy in cancer immunotherapy but also inspire further exploration into the field, highlighting the promising future of cancer treatment.

Identification of PANoptosis-related biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma

PANoptosis plays a crucial role in cancer initiation and progression. However, the roles of PANoptosis-related genes (PARGs) in the prognosis and immune landscape of head and neck squamous cell carcinoma (HNSCC) remain unclear. Integrated bioinformatics analyses based on the data of HNSCC patients in the TCGA database were conducted. We extracted 48 PARGs expression profile and then conducted differentially expressed analysis, following building a Cox model to predict the survival of HNSCC patients. Subsequently, the relationships between the risk score, immune landscape, chemo-, and immune-therapy responses were analyzed, respectively. Moreover, we investigated the prognostic value, and further predicted the pathways influenced by PARGs. Finally, we identified the biological function of crucial PARGs. A total of 18 differentially expressed PARGs were identified in HNSCC, and a Cox model including CASP8, FADD, NLRP1, TNF, and ZBP1 was constructed, which showed that the risk score was associated with the prognosis as well as immune infiltration of HNSCC patients, and the risk score could be regarded as an independent biomarker. Additionally, patients with high-risk score might be an indicator of lymph node metastasis and advanced clinical stage. High-risk scores also contributed to the chemotherapy resistance and immune escape of HNSCC patients. In addition, FADD and ZBP1 played a crucial role in various cancer-related pathways, such as the MAPK, WNT, and MTOR signaling pathways. On the other hand, we suggested that FADD facilitated the progression and 5-fluorouracil (5-FU) resistance of HNSCC cells. A signature based on PANoptosis showed great predictive power for lymph node metastasis and advanced stage, suggesting that the risk score might be an independent prognostic biomarker for HNSCC. Meanwhile, FADD, identified as a prognostic biomarker, may represent an effective therapeutic target for HNSCC.

Treatment response of advanced HNSCC towards immune checkpoint inhibition is associated with an activated effector memory T cell phenotype.

Locally advanced or metastatic head and neck squamous cell carcinoma (HNSCC) is associated with a poor prognosis. The introduction of PD-1 inhibitors has led to a significant improvement in survival, but only a subpopulation of patients responds to therapy. Current biomarkers cannot reliably identify these patients. The identification of biomarkers for the prediction and monitoring of immunotherapy is therefore of great importance. In this study, we characterized lymphocyte subsets in the peripheral blood of HNSCC patients under PD-1 inhibition. Patients with primary response (n=11) to PD-1 inhibition showed an increase of the CD3+ effector memory (CD3/EM) population and an elevated expression of the activation marker CD69 in CD3+ T cells, particularly in the CD3/EM subpopulation at 3 months when treatment response was assessed. In contrast, patients with primary treatment failure and progressive disease (n=9) despite PD-1 inhibition had lower absolute lymphocyte counts and an increased expression of CTLA-4 in CD3+ T cells at the time of treatment failure compared with baseline, particularly in CD4+ and CD8+ effector memory populations. Our results demonstrate that HNSCC patients' response to immune checkpoint inhibition shows a distinct immune signature in peripheral blood, which could help identify refractory patients earlier. Furthermore, strategies to overcome primary therapy failure by inducing a beneficial T cell phenotype or adding alternative immune checkpoint inhibitors could improve response rates and survival of HNSCC patients.

ACTN1 promotes HNSCC tumorigenesis and cisplatin resistance by enhancing MYH9-dependent degradation of GSK-3β and integrin β1-mediated phosphorylation of FAK

BackgroundHead and neck squamous cell carcinoma (HNSCC) is one of the most common malignant tumors globally. Understanding the molecular basis of tumor progression and drug resistance can offer innovative strategies to enhance clinical outcomes for HNSCC patients.MethodsThe cytoskeletal remodeling genes associated with cisplatin resistance were screened using a PCR array. The role of alpha-actinin 1 (ACTN1) in modulating cisplatin resistance and tumorigenesis in HNSCC was evaluated both in vitro and in vivo. Co-immunoprecipitation (Co-IP), IP-mass spectrometry (MS), western blotting, dual-luciferase assay, and bioinformatics analysis were performed to elucidate the underlying mechanisms involved.ResultsOur study identifies ACTN1 as a crucial contributor to cisplatin resistance and tumorigenesis in HNSCC, as evidenced across cellular, animal, and patient-derived xenograft models. From a clinical perspective, overexpression of ACTN1 significantly correlates with a suboptimal response to neoadjuvant chemotherapy and reduced overall survival in HNSCC patients. Mechanistically, ACTN1 predominantly activates β-catenin-mediated signaling by promoting the interaction between myosin heavy chain 9 (MYH9) and GSK-3β, leading to the ubiquitin-dependent degradation of GSK-3β. ACTN1 also interacts with integrin β1, subsequently activating the FAK/PI3K/AKT pathway, providing an additional avenue for the activation of β-catenin signaling. Our study also unveils that the β-catenin/c-Myc axis transcriptionally regulates ACTN1, thereby creating a positive feedback loop promoting HNSCC tumorigenesis and drug resistance.ConclusionsThese insights underscore the novel mechanisms that highlight ACTN1's pivotal role in driving HNSCC progression and resistance to chemotherapy, suggesting ACTN1 as a promising therapeutic target in HNSCC management.

Oral health in patients with different sites of head and neck squamous cell carcinoma is not different.

Oral health might not only act as risk factor for head and neck squamous cell carcinoma (HNSCC), but might also have a predictive value for the patients' survival. Currently, information on the effect of oral health on survival of patients with different sites of HNSCC is lacking. This single-center retrospective study aimed to compare oral health in patients with different sites of HNSCC and to analyse whether oral health is associated with survival in the different subsets of HNSCC patients. Dental records of HNSCC patients referred for dental assessment prior to radio(chemo)therapy were included. Patient-related parameters (age at time of diagnosis, sex, tobacco exposure, alcohol consumption, HPV status), treatment data (primary treatment, intent), performance status, tumor demographics (anatomical site, TNM staging), and oral health parameters (DMFT, periodontal health, teeth with/without root canal treatment and with/without periodontitis apicalis) were obtained. Oral health parameters were compared between different anatomical sites. Survival of all HNSCC patients and of individual subsets was assessed using Kaplan-Meier statistics, and the effect of tumor demographics, patient-related parameters, and oral health on survival was analysed by cox regression analyses (α = 5%). 371 patients with HNSCC (oral: n = 86, oropharyngeal: n = 174, hypopharyngeal: n = 59, laryngeal: n = 15, other: n = 37) were included. Oral health parameters did not differ between subsets (padj.≥0.199). Five-year cumulative survival of HNSCC patients amounted to 78.6%. Only for HNSCC originating in the oral cavity and oropharynx, survival was associated with the treatment intent (p = 0.015) or performance status (p = 0.007) in the multivariable analyses, respectively. Within the limitations of this study, oral health was not different between different subsets and had no significant effect on survival of HNSCC patients.

Phase I / II trial of metformin as a chemo-radiosensitizer in a head and neck cancer patient population

ObjectivesRetrospective studies have shown that head and neck squamous cell carcinoma (HNSCC) patients taking metformin demonstrate superior survival compared to their counterparts. We sought to determine whether metformin combined with chemoradiation would improve HNSCC patient survival compared to historical controls. Materials and methodsWe conducted a Phase I/II prospective, single arm clinical trial in patients with newly diagnosed HNSCC (NCT02949700). Patients received platinum-based chemoradiation in combination with orally dosed metformin at one of 2 doses- 850 mg BID or 1500 mg BID administered during radiation, with a 2-week lead-in phase. Toxicity, disease response and survival metrics were ascertained throughout the study period. ResultsA total of 25 patients were evaluable for toxicity and survival; 9 failed to reach the predetermined 70% compliance with the study drug. No dose limiting toxicities were identified in the Phase I component and there were no grade 4 adverse events likely related to metformin throughout the study. The primary outcome for the Phase II component was met with a response rate of 96%. Three-year overall survival was ∼70% in the per protocol p16 + cohort and 0% in the per protocol p16- cohort. Survival among participants with a ≥70% metformin compliance to <70% metformin compliance demonstrated a trend towards improvement in the ≥70% compliance cohort, though this did not reach significance. ConclusionMetformin is well tolerated during concurrent chemoradiation for HNSCC. Its effectiveness as a chemo-radiosensitizer remains unclear and will require further study with randomized controlled clinical trials in this patient population.

Multi-Omics Identification of Genetic Alterations in Head and Neck Squamous Cell Carcinoma and Therapeutic Efficacy of HNC018 as a Novel Multi-Target Agent for c-MET/STAT3/AKT Signaling Axis.

Amongst the most prevalent malignancies worldwide, head and neck squamous cell carcinoma (HNSCC) is characterized by high morbidity and mortality. The failure of standard treatment modalities, such as surgery, radiotherapy, and chemotherapy, demands the need for in-depth understanding of the complex signaling networks involved in the development of treatment resistance. A tumor's invasive growth and high levels of intrinsic or acquired treatment resistance are the primary causes of treatment failure. This may be a result of the presence of HNSCC's cancer stem cells, which are known to have self-renewing capabilities that result in therapeutic resistance. Using bioinformatics methods, we discovered that elevated expressions of MET, STAT3, and AKT were associated with poor overall survival in HNSCC patients. We then evaluated the therapeutic potential of our newly synthesized small molecule HNC018 towards its potential as a novel anticancer drug. Our computer-aided structure characterization and target identification study predicted that HNC018 could target these oncogenic markers implicated in HNSCC. Subsequently, the HNC018 has demonstrated its anti-proliferative and anticancer activities towards the head and neck squamous cell carcinoma cell lines, along with displaying the stronger binding affinities towards the MET, STAT3, and AKT than the standard drug cisplatin. Reduction in the clonogenic and tumor-sphere-forming ability displays HNC018's role in decreasing the tumorigenicity. Importantly, an vivo study has shown a significant delay in tumor growth in HNC018 alone or in combination with cisplatin-treated xenograft mice model. Collectively with our findings, HNC018 highlights the desirable properties of a drug-like candidate and could be considered as a novel small molecule for treating head and neck squamous cell carcinoma.

Use of machine learning derived features from CT and H&amp;E whole-slide images to predict overall survival in head and neck squamous cell carcinoma.

6086 Background: Computed tomography (CT) and H&amp;E whole-slide images (WSI) have been found to carry rich prognostic information for patients diagnosed with head and neck squamous cell carcinoma (HNSCC). However, most machine learning models aimed for outcome prediction only took advantage of single image modality. In this work, we developed and validated a prognostic machine learning method incorporating both CT and WSI to predict overall survival in HNSCC patients. Methods: Matched radiographic CT scans and digitized WSI were acquired from the Cleveland Clinic for 167 HNSCC patients, including 120 HPV-associated oropharyngeal cancer and 47 laryngeal cancer. Both primary tumor and the largest suspicious lymph node were annotated on CT scans and primary tumor was delineated on H&amp;E WSI. We split the dataset into training and validation set using a 7:3 ratio, which resulted in 119 patients in the training set and 48 for hold-out validation. We applied a machine learning model (M_ML) using both CT and WSI as input to perform end-to-end predictions of overall survival. We used the harrell’s concordance index (C-index) to evaluate the prognostic performance. Finally, we performed the multivariable cox proportional hazard analysis adjusting for clinicopathological variables (i.e. age, gender, smoking pack-year [PY], AJCC 7th edition overall stage, and treatment modality) to validate the independent prognostic significance of the model. Results: The combined machine learning model M_ML (C-index = 0.81) outperformed the model using CT images alone (C-index = 0.63) and WSI alone (C-index = 0.64) on the validation set. In multivariable analysis, M_ML is still statistically significant accounting for clinicopathologic factors (p = 0.0007). Conclusions: This pilot study shows that a multi-omic machine learning model utilizing both radiographic CT and digitized WSI can predict HNSCC overall survival and outperforms models using only a single modality. [Table: see text]

Lactate metabolism as a dictator of patient outcomes and immune microenvironment in head and neck squamous carcinoma.

e18038 Background: Head and neck squamous cell carcinoma (HNSCC) treatment is facing clinical challenges. Recent research reports have highlighted the integral function performed by the tumor microenvironment (TME) in the prediction of clinical outcomes. Lactate metabolism mediates many cancers’ initiation and progression, including metastasis, angiogenesis and immunosuppression. However, the prognostic significance of lactate metabolism-related genes (LMRGs) and the role of TME in HNSCC requires further elucidation. Methods: We built a prognostic multigene signature with LMRGs and systematically correlated the risk signature with immunological characteristics and immunotherapy efficacy. Next, a series of single-cell sequencing analyses were used to characterize lactate metabolism in TME.The most important prognostic gene among risk signature was screened by machine learning analysis. Finally, single-cell sequencing analysis, immunofluorescence analyses, and a series of in vitro experiments were used to explore the role of PYGL in HNSCC. Results: LMRGs-related prognostic model showed good prediction performance. The immunological signaling pathways are linked to low-risk scores. Patients in low-risk group were characterized by low levels of lactate metabolism, high levels of CD8+ T cells infiltration, “hot”immune phenotype and benefit from immunotherapy. Compared with other cells, tumor cells in TME exhibited the most active lactate metabolism. Machine learning analysis highlighted that PYGL was the most important prognostic gene among risk signatures. And lactate concentrations decreased in PYGL knockdown cells. We found that PYGL was highly expressed in macrophages, may inhibit the polarization of M1 macrophages. The inflammatory phenotype was characterized by the least expression of PYGL, which was observed to be inversely linked to CD8+ T-cell infiltration, as determined by immunofluorescence analyses. Conclusions: Our study identified and validated a promising LMRGs signature associated with inflamed TME, which may accurately anticipate the survival of HNSCC patients. PYGL might be a novel biomarker to predict immune efficacy.

Abstract 2832: Plk1 signaling as a therapeutic target for HPV- head and neck cancer

Abstract Current frontline chemotherapy and radiotherapy for head and neck cancer (HNC) is insufficient as ~60% of patients relapse within two years, indicating a need to identify novel targeted therapies to improve survival outcomes for HNC patients. Human papilloma virus (HPV) incidence is a major cause of head and neck squamous cell carcinoma (HNSCC) in addition to tobacco use. HPV- HNSCC patients are less responsive to frontline treatment than HPV+ HNSCC patients. However, HPV- and HPV+ HNSCC patients are treated similarly. The cell cycle serine-threonine kinase polo-like kinase 1 (Plk1) is known to be overexpressed in HNC. The Cancer Genome Atlas (TCGA) revealed that high expression of Plk1 correlates with worse survival in HNSCC patients (p&amp;lt;0.05). Yet, Plk1 is expressed at similar levels when comparing HPV- and HPV+ HNSCC patients. Therefore, in this study we sought to establish if Plk1 inhibition with onvansertib (currently in Phase I/II clinical trials) alone and in combination with radiation would inhibit HPV- and HPV+ HNSCC growth. We used two HPV+ (UMSCC47, UDSCC2), and two HPV- (HN5, Cal27) human HNSCC cell lines. First, we confirmed that Plk1 inhibition with onvansertib stalls HNSCC cells at the G2/M phase of the cell cycle (n=3). Then, we determined that HNSCC cell viability is reduced in a dose-dependent manner after Plk1 inhibition with onvansertib. Surprisingly, HPV- HNSCC cells exhibited a 2-fold decrease in cell viability as compared to HPV+ HNSCC cells (n=3). These findings were confirmed when assessing 3D spheroid growth of HNSCC cells. Plk1 inhibition with onvansertib (25nM) reduced HPV- HNSCC spheroid growth more than HPV+ (n=2). Combining Plk1 inhibition with radiation also reduced colony formation (n=3, p&amp;lt;0.0001) and increased G2/M stalling (n=3) compared to either single agent in HPV- HNSCC cells. Functionally, onvansertib induces cleaved PARP and pPlk1 expression in HNSCC cells. However, pPlk1 is induced to a higher degree in HPV+ HNSCC cells potentially indicating a positive feedforward loop leading to decreased sensitivity to Plk1 inhibition. In HPV- but not HPV+ HNSCC cells, Plk1 expression is also increased after radiation emphasizing Plk1 as an attractive target to mitigate radioresistance in HPV- HNSCCs (n=3). Our findings that HPV+ HNSCC cells are more resistant to Plk1 inhibition than HPV- HNSCC cells provides novel mechanistic insight into these disease subtypes. As HPV- HNSCC is typically more resistant to standard therapies, these results support a novel combinatorial approach using an already approved Plk1 inhibitor with radiation to improve HPV- HNSCC patient outcomes. Citation Format: Julianna Korns, Samuel Thompson, Trisha Wise-Draper, Vinita Takiar. Plk1 signaling as a therapeutic target for HPV- head and neck cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2832.

TRIM21 Expression as a Prognostic Biomarker for Progression-Free Survival in HNSCC

Patients with head and neck squamous cell carcinoma (HNSCC) continue to have a rather poor prognosis. Treatment-related comorbidities have negative impacts on their quality of life. TRIM21 is a cytosolic E3 ubiquitin ligase that was initially described as an autoantigen in autoimmune diseases and later associated with the intracellular antiviral response. Here, we investigated the role of TRIM21 as a biomarker candidate for HNSCC in predicting tumor progression and patient survival. We analyzed TRIM21 expression and its association with clinical-pathological parameters in our HNSCC cohort using immunohistochemistry. Our HNSCC cohort included samples from 419 patients consisting of primary tumors (n = 337), lymph node metastases (n = 156), recurrent tumors (n = 54) and distant metastases (n = 16). We found that cytoplasmic TRIM21 expression was associated with the infiltration of immune cells into primary tumors. In addition, TRIM21 expression was significantly higher in primary tumors than in lymph node metastases, and increased TRIM21 expression was correlated with shorter progression-free survival in HNSCC patients. These results suggest that TRIM21 could be a new biomarker for progression-free survival.

Prognostic biomarker GSTK1 in head and neck squamous cell carcinoma and its correlation with immune infiltration and DNA methylation.

Background: Glutathione S-transferase kappa 1 (GSTK1) is critical in sarcoma and breast cancer (BRCA) development. However, the clinical significance of GSTK1 in head and neck squamous cell carcinoma (HNSC) remains unclear. This study is the first investigation into the role of GSTK1 in HNSC. Methods: All original data were downloaded from the Cancer Genome Atlas (TCGA) dataset and verified by R Base Package 4.2.0. The expression of GSTK1 in various cancers was explored with TIMER and TCGA databases. Prognostic value of GSTK1 was analyzed via survival module of Kaplan-Meier plotter and Human Protein Atlas database and Cox regression analysis. The association between GSTK1 and clinical features was evaluated by Wilcoxon signed-rank test and logistic regression analysis. The relationship between GSTK1 and immune infiltration and methylation level was further explored. The expression of GSTK1 and its correlation with immune cell infiltration was verified by Immunohistochemical staining (IHC). Results: GSTK1 was lower in HNSC, BRCA, Lung squamous cell carcinoma, and Thyroid carcinoma than in para-carcinoma. Low GSTK1 expression was associated with worse overall survival in Bladder urothelial carcinoma, Kidney renal papillary cell carcinoma, BRCA, and HNSC. However, only in BRCA and HNSC, GSTK1 expression in tumors was lower than that in normal tissues. Cox regression analyses confirmed that GSKT1 was an independent prognostic factor of overall survival in HNSC patients. The decrease in GSTK1 expression in HNSC was significantly correlated with high T stage and smoker history. IHC showed that the expression level of GSTK1 in HNSC was lower than that in para-carcinoma. In addition, GSEA showed that three pathways related to immune infiltration were positively correlated, while two pathways related to DNA methylation were negatively correlated with expression of GSTK1. Further analysis showed that GSTK1 was moderately positively correlated with the infiltration level of T cells and Cytotoxic cells, which was further confirmed by IHC. The methylation level of GSTK1 was associated with prognosis in patients with HNSC. Conclusion: Low GSTK1 expression may be a potential molecular marker for poor prognosis in HNSC and provide new insight for the development of diagnostic marker or therapeutic target.

BASP1 is a prognostic biomarker associated with immunotherapeutic response in head and neck squamous cell carcinoma.

Immunotherapy is effective in a subset of head and neck squamous cell carcinoma (HNSCC). However, the unfavorable response rate and inadequate biomarkers for stratifying patients have primarily limited its clinical application. Considering transcriptional factors (TFs) play essential roles in regulating immune activity during HNSCC progression, we comprehensively analyzed the expression alterations of TFs and their prognostic values. Gene expression datasets and clinical information of HNSCC were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repository. Then, Brain abundant membrane attached signal protein 1 (BASP1) was screened out of differentially expressed TFs by univariate and multivariate survival analysis. Tumor immune dysfunction and exclusion (TIDE) was applied to analyze the response to immunotherapy of BASP1high/low patients. Meanwhile, GO, KEGG and GSEA analyses were used to enrich the pathways between the BASP1high and BASP1low groups. Single-sample gene set enrichment analysis (ssGSEA), CIBERSORT, EPIC and quanTiseq algorithms were applied to explore immune infiltrations. Also, immune cycle analysis was conducted by ssGSEA. Additionally, lipid peroxidation, glutathione and reactive oxygen species were performed to detect the ferroptosis alternations. BASP1 was upregulated and associated with poor survival in HNSCC patients. BASP1high patients exhibited better response rates to anti-PD-1 immunotherapy and higher expressions of immune checkpoint inhibitors. GO, KEGG and GSEA analyses indicated that the expression of BASP1 was related to several immune-related pathways and immunogenic ferroptosis signature. The infiltration of activated CD8+ T cells was authenticated to be decreased in BASP1high patients. Furthermore, BASP1 was identified to be positively correlated with T cell dysfunction and immune escape. Moreover, silencing BASP1 triggered ferroptosis in HNSCC cells, representing as increased LDH, lipid peroxidation and ROS levels, and reduced glutathione synthesis. We demonstrated that BASP1 suppressed immunogenic ferroptosis to induce immunosuppressive tumor microenvironment. BASP1 plays a critical role in immune response, and might be a promising classifier for selecting HNSCC patients who benefit from current immunotherapy.

NLRP3 in tumor-associated macrophages predicts a poor prognosis and promotes tumor growth in head and neck squamous cell carcinoma.

The NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome plays cell- and tissue-specific roles in cancer, meaning that its activation in different tumors or cells may play different roles in tumor progression. We have previously described the tumor-promoting function of tumor-intrinsic NLRP3/IL-1β signaling in head and neck squamous cell carcinoma (HNSCC), but its role in immune cells remains unclear. In this study, we found that NLRP3 was highly expressed in tumor-associated macrophages (TAMs) in both mouse and human HNSCC, and the expression of NLRP3 was positively correlated with the density of TAMs according to immunohistochemistry, immunofluorescence, and flow cytometry analyses. Importantly, the number of NLRP3high TAMs was related to worse overall survival in HNSCC patients. Knocking out NLRP3 inhibited M2-like macrophage differentiation in vitro. Moreover, the carcinogenic effect induced by 4-nitroquinoline-1-oxide was decreased in Nlrp3-deficient mice, which had smaller tumor sizes. Genetic depletion of NLRP3 reduced the expression of protumoral cytokines, such as IL-1β, IL-6, IL-10, and CCL2, and suppressed the accumulation of TAMs and myeloid-derived suppressor cells (MDSCs) in mouse HNSCC. Thus, activation of NLRP3 in TAMs may contribute to tumor progression and have prognostic significance in HNSCC.

Correlation analysis of plasma lipid profiles and the prognosis of head and neck squamous cell carcinoma.

This study aims to clarify whether blood lipid profiles are indicators of prognosis in patients with head and neck squamous cell carcinoma (HNSCC). This retrospective study included 512 T1/2N0M0 HNSCC patients. The correlation between blood lipid profiles and progression-free survival (PFS) and disease-specific survival (DSS) was analyzed by multivariate analysis. The data from TCGA was also analyzed to investigate the expression levels and prognostic values of different lipoprotein receptors essential for specific lipid uptake. A high level of low-density lipoprotein cholesterol (LDL-C) indicated better PFS and DSS, and a low level of apolipoprotein A-I (Apo A-I) indicated better PFS, while a high level of apolipoprotein B (Apo B) indicated poorer PFS and DSS. The Apo A-I receptor gene SCARB1 was upregulated and associated with poor survival in HNSCC patients. Activation of SCARB1 was implicated in a series of tumor-promoting pathways. There was no significant correlation between the expression of LDL-C and Apo B-related receptors and prognosis. A high level of LDL-C and a low level of Apo A-I are protective factors for HNSCC, while a high level of Apo B is a risk factor. The upregulation of SCARB1 may participate in the progression of HNSCC.