[Application value of folate receptor-positive circulating tumor cells in the diagnosis of head and neck squamous cell carcinoma].

A total of 82 patients and healthy subjects in the First Affiliated Hospital of Sun Yat-sen University from March to August 2023 were recruited. The cohort consisted of 43 patients with head and neck squamous cell carcinoma (HNSCC) and 39 non-cancer patients or healthy subjects. There were 63 males and 19 females, with a median age of 62 (46, 67) years. The levels of folate receptor-positive circulating tumor cells (FR+CTCs) in the blood of HNSCC patients and non-cancer/healthy subjects were 12.4 (8.5, 17.8) floate unit (FU)/3 ml and 5.0 (3.8, 6.6) FU/3 ml, respectively, with a statistically significant difference (P<0.001). The area under the receiver operating characteristic (ROC) curve for FR+CTCs levels was 0.937 (95%CI: 0.888-0.986, P<0.001), with a cut-off value of 7.4 FU/3 ml determined by the maximum Youden index. At this cut-off value, the sensitivity and specificity of FR+CTCs for diagnosing HNSCC were 90.70% and 89.74%, respectively. The current study suggests that FR+CTCs could be used as a liquid biopsy marker for the screening and diagnosis of HNSCC.

Personalized ctDNA for Monitoring Disease Status in Head and Neck Squamous Cell Carcinoma.

PURPOSE: Many patients with locoregionally advanced human papillomavirus-negative head and neck squamous cell carcinoma (HNSCC) relapse. ctDNA has the potential to identify minimal residual disease, but its clinical utility for virus-negative HNSCC is not well understood. EXPERIMENTAL DESIGN: We retrospectively evaluated a personalized, commercial ctDNA assay (Signatera, Natera) during clinical care of patients treated for predominantly newly diagnosed human papillomavirus-negative HNSCC. Signatera utilizes 16-plex PCR from matched tumor and blood. Objectives were to understand ctDNA detectability and correlate changes posttreatment with disease outcomes. RESULTS: Testing was successful in 100/116 (86%) patients (median age: 65 years, 68% male, 65% smokers); testing failed in 16 (14%) because of insufficient tissue. Oral cavity (55, 47%) tumors were most common; most had stage III to IV disease (82, 71%), whereas 17 (15%) had distant metastases. Pretreatment, 75/100 patients with successful testing (75%) had detectable ctDNA (range: 0.03-4049.69 mean tumor molecules/mL). No clinical features predicted ctDNA detectability or levels (multivariate analysis). At a median follow-up of 5.1 months (range: 0.2-15.1), 55 (55%) had >1 test result (range: 1-7; 194 samples). Of 55 patients, 17 (31%) remained ctDNA positive after starting treatment. Progression-free survival was significantly worse for patients who were ctDNA positive versus ctDNA negative posttreatment (HR, 7.33; 95% confidence interval, 3.12-17.2; P < 0.001); 1-year overall survival was 89.1% versus 100%, respectively (HR, 7.46; 95% confidence interval, 0.46-119.5; P = 0.155). CONCLUSIONS: Tumor-informed ctDNA testing is feasible in nonviral HNSCC. ctDNA positivity is an indicator of disease progression and associated with inferior survival. Further research is warranted to understand whether ctDNA may be leveraged to guide therapy in HNSCC.

Circulating tumour cells predict recurrences and survival in head and neck squamous cell carcinoma patients.

Patients with head and neck squamous cell carcinoma (HNSCC) are at a high risk of developing recurrence and secondary cancers. This study evaluates the prognostic and surveillance utilities of circulating tumour cells (CTCs) in HNSCC. A total of 154 HNSCC patients were recruited and followed up for 4.5 years. Blood samples were collected at baseline and follow-up. CTCs were isolated using a spiral microfluid device. Recurrence and death due to cancer were assessed during the follow-up period. In patients with HNSCC, the presence of CTCs at baseline was a predictor of recurrence (OR = 8.40, p < 0.0001) and death (OR= ∞, p < 0.0001). Patients with CTCs at baseline had poor survival outcomes (p < 0.0001). Additionally, our study found that patients with CTCs in a follow-up appointment were 2.5 times more likely to experience recurrence or death from HNSCC (p < 0.05) prior to their next clinical visit. Our study highlights the prognostic and monitoring utilities of CTCs' in HNSCC patients. Early identification of CTCs facilitates precise risk assessment, guiding treatment choices and ultimately enhancing patient outcomes.

Prognostic value of CDKN2A in head and neck squamous cell carcinoma via pathomics and machine learning.

This study aims to enhance the prognosis prediction of Head and Neck Squamous Cell Carcinoma (HNSCC) by employing artificial intelligence (AI) to analyse CDKN2A gene expression from pathology images, directly correlating with patient outcomes. Our approach introduces a novel AI-driven pathomics framework, delineating a more precise relationship between CDKN2A expression and survival rates compared to previous studies. Utilizing 475 HNSCC cases from the TCGA database, we stratified patients into high-risk and low-risk groups based on CDKN2A expression thresholds. Through pathomics analysis of 271 cases with available slides, we extracted 465 distinctive features to construct a Gradient Boosting Machine (GBM) model. This model was then employed to compute Pathomics scores (PS), predicting CDKN2A expression levels with validation for accuracy and pathway association analysis. Our study demonstrates a significant correlation between higher CDKN2A expression and improved median overall survival (66.73 months for high expression vs. 42.97 months for low expression, p = 0.013), establishing CDKN2A's prognostic value. The pathomic model exhibited exceptional predictive accuracy (training AUC: 0.806; validation AUC: 0.710) and identified a strong link between higher Pathomics scores and cell cycle activation pathways. Validation through tissue microarray corroborated the predictive capacity of our model. Confirming CDKN2A as a crucial prognostic marker in HNSCC, this study advances the existing literature by implementing an AI-driven pathomics analysis for gene expression evaluation. This innovative methodology offers a cost-efficient and non-invasive alternative to traditional diagnostic procedures, potentially revolutionizing personalized medicine in oncology.

Macrophages: plastic participants in the diagnosis and treatment of head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSCC) rank among the most prevalent types of head and neck cancer globally. Unfortunately, a significant number of patients receive their diagnoses at advanced stages, limiting the effectiveness of available treatments. The tumor microenvironment (TME) is a pivotal player in HNSCC development, with macrophages holding a central role. Macrophages demonstrate diverse functions within the TME, both inhibiting and facilitating cancer progression. M1 macrophages are characterized by their phagocytic and immune activities, while M2 macrophages tend to promote inflammation and immunosuppression. Striking a balance between these different polarization states is essential for maintaining overall health, yet in the context of tumors, M2 macrophages typically prevail. Recent efforts have been directed at controlling the polarization states of macrophages, paving the way for novel approaches to cancer treatment. Various drugs and immunotherapies, including innovative treatments based on macrophages like engineering macrophages and CAR-M cell therapy, have been developed. This article provides an overview of the roles played by macrophages in HNSCC, explores potential therapeutic targets and strategies, and presents fresh perspectives on the future of HNSCC treatment.

Applying Machine Learning for Enhanced MicroRNA Analysis: A Companion Risk Tool for Oral Squamous Cell Carcinoma in Standard Care Incisional Biopsy.

Machine learning analyses within the realm of oral cancer outcomes are relatively underexplored compared to other cancer types. This study aimed to assess the performance of machine learning algorithms in identifying oral cancer patients, utilizing microRNA expression data. In this study, we implemented this approach using a panel of oral cancer-associated microRNAs sourced from standard incisional biopsy specimens to identify cases of oral squamous cell carcinomas (OSCC). For the model development process, we used a dataset comprising 30 OSCC and 30 histologically normal epithelium (HNE) cases. We initially trained a logistic regression prediction model using 70 percent of the dataset, while reserving the remaining 30 percent for testing. Subsequently, the model underwent hyperparameter tuning resulting in enhanced performance metrics. The hyperparameter-tuned model exhibited high accuracy (0.894) and ROC AUC (0.898) in predicting OSCC. Testing the model on cases of potentially malignant disorders (OPMDs) revealed that leukoplakia with mild dysplasia was predicted as having a high risk of progressing to OSCC, emphasizing machine learning's advantage over histopathology in detecting early molecular changes. These findings underscore the necessity for further refinement, incorporating a broader set of variables to enhance the model's predictive capabilities in assessing the risk of oral potentially malignant disorders.

Considerable interlaboratory variation in PD-L1 positivity for head and neck squamous cell carcinoma in the Netherlands- A nationwide evaluation study.

AIMS: Patients with recurrent or metastatic head and neck squamous cell carcinoma (HNSCC) are eligible for first-line immune checkpoint inhibition if their tumour is positive for programmed death ligand 1 (PD-L1) determined by the combined positive score (CPS). This nationwide study, using real-world data, investigated the developing PD-L1 testing landscape in the first 3 years after introduction of the test in HNSCC and examined interlaboratory variation in PD-L1 positivity rates. METHODS: Pathology reports of HNSCC patients mentioning PD-L1 were extracted from the Dutch Pathology Registry (Palga). Tumour and PD-L1 testing characteristics were analysed per year and interlaboratory variation in PD-L1 positivity rates was assessed using funnel plots with 95% confidence limits around the overall mean. RESULTS: A total of 817 PD-L1 tests were reported in 702 patients among 19 laboratories; 85.2% of the tests on histological material were stated to be positive. The national PD-L1 positivity rate differed significantly per year during the study period (79.7-89.9%). The use of the recommended 22C3 antibody increased from 59.9 to 74.3%. A total of 673 PD-L1 tests on histological material from 12 laboratories were analysed to investigate interlaboratory variation. Four (33%) deviated significantly from the national mean of PD-L1-positive cases using CPS ≥ 1 cut-off, while two (17%) deviated significantly for CPS ≥ 20 cut-off. CONCLUSION: In the first 3 years of PD-L1 assessment in HNSCC, the testing landscape became more uniform. However, interlaboratory variation in PD-L1 positivity rates between Dutch laboratories was substantial. This implies that there is a need for further test standardisation to reduce this variation.

Metastatic cutaneous squamous cell carcinoma accounts for nearly all squamous cell carcinomas of the parotid gland.

Primary squamous cell carcinoma of the parotid gland (pSCCP) has long been recognized as a separate entity and is included in the WHO classifications of salivary gland tumors. However, it is widely accepted among head and neck pathologists that pSCCP is exceptionally rare. Yet, there are many publications describing series of pSCCP and data from SEER and other cancer register databases indicate erroneously an increasing incidence of pSCCP. Importantly, pSCCP and metastatic (secondary) squamous cell carcinoma to the parotid gland (mSCCP) have nearly identical histological features, and the diagnosis of pSCCP should only be made after the exclusion of mSCCP. Moreover, all of the histological diagnostic criteria proposed to be in favor of pSCCP (such as, for example, dysplasia of ductal epithelium) can be encountered in unequivocal mSCCP, thereby representing secondary growth along preexistent ducts. Squamous cell differentiation has also been reported in rare genetically defined primary parotid carcinomas, either as unequivocal histological squamous features (e.g., NUT carcinoma, mucoepidermoid carcinoma), by immunohistochemistry (e.g., in NUT carcinoma, adamantinoma-like Ewing sarcoma, basal-type salivary duct carcinoma, mucoepidermoid carcinoma), or a combination of both. Another major issue in this context is that the International Classification of Diseases (ICD) coding system does not distinguish between primary or metastatic disease, resulting in a large number of patients with mSCCP being misclassified as pSCCP. Immunohistochemistry and new molecular biomarkers have significantly improved the accuracy of the diagnosis of many salivary gland neoplasms, but until recently there were no biomarkers that can accurately distinguish between mSCCP and pSCCP. However, recent genomic profiling studies have unequivocally demonstrated that almost all SCCP analyzed to date have an ultraviolet light (UV)-induced mutational signature typical of mSCCP of skin origin. Thus, mutational signature analysis can be a very useful tool in determining the cutaneous origin of these tumors. Additional molecular studies may shed new light on this old diagnostic and clinical problem. This review presents a critical view of head and neck experts on this topic.

A diagnostic algorithm for sinonasal papillary non-keratinizing squamous cell carcinoma with DEK:: AFF2 fusion and mimickers / Algoritmo diagnóstico para carcinoma sinonasal papilar de células escamosas no queratinizante con fusión e imitadores de DEK:: AFF2

Sinonasal carcinomas represent a rare and diverse group of tumors, presenting diagnostic complexities due to their varied histological and molecular features. To ensure accurate differentiation among these malignancies, a systematic and stepwise approach is paramount. Even with the morphological similarities between poorly differentiated (non) keratinizing sinonasal squamous cell carcinoma (SNSCC) and DEK::AFF2 SNSCC, the two lesions are distinguishable using the surrogate immunohistochemical marker AFF2 or molecular testing for DEK::AFF2 mutation. We report a rare case of SMARCB1-retained DEK::AFF2 papillary non-keratinizing SNSCC in a 53-year-old female, who presented with a polypoid mass corresponding to the left middle turbinate. Following the surgical resection of the tumor and locoregional lymph nodes, adjuvant radiotherapy was administered to eradicate any residual cancer cells that may have remained after surgery. (AU)

Los carcinomas sinonasales representan un grupo diverso e infrecuente de tumores que presentan complejidades diagnósticas debidas a la variedad de sus características histológicas y moleculares. Para asegurar una diferenciación precisa entre estas neoplasias es esencial un enfoque sistemático paso a paso. Incluso con similitudes morfológicas entre carcinoma sinonasal escamoso pobremente diferenciado, no queratinizante (CSNE) y DEK::AFF2 se puede distinguir entre las lesiones con el uso del marcador inmunohistoquímico sustitutivo AFF2 o la mutación molecular DEK::AFF2. Comunicamos un raro caso de CSNE no queratinizante SMARCB1-retained DEK::AFF2 en una mujer de 53 años con una masa polipoide en pliegue turbinado medio izquierdo. Tras la resección quirúrgica del tumor y de los ganglios linfáticos, se administró radioterapia adyuvante para eliminar el tumor residual. (AU)

A diagnostic algorithm for sinonasal papillary non-keratinizing squamous cell carcinoma with DEK:: AFF2 fusion and mimickers / Algoritmo diagnóstico para carcinoma sinonasal papilar de células escamosas no queratinizante con fusión e imitadores de DEK:: AFF2

Sinonasal carcinomas represent a rare and diverse group of tumors, presenting diagnostic complexities due to their varied histological and molecular features. To ensure accurate differentiation among these malignancies, a systematic and stepwise approach is paramount. Even with the morphological similarities between poorly differentiated (non) keratinizing sinonasal squamous cell carcinoma (SNSCC) and DEK::AFF2 SNSCC, the two lesions are distinguishable using the surrogate immunohistochemical marker AFF2 or molecular testing for DEK::AFF2 mutation. We report a rare case of SMARCB1-retained DEK::AFF2 papillary non-keratinizing SNSCC in a 53-year-old female, who presented with a polypoid mass corresponding to the left middle turbinate. Following the surgical resection of the tumor and locoregional lymph nodes, adjuvant radiotherapy was administered to eradicate any residual cancer cells that may have remained after surgery. (AU)

Los carcinomas sinonasales representan un grupo diverso e infrecuente de tumores que presentan complejidades diagnósticas debidas a la variedad de sus características histológicas y moleculares. Para asegurar una diferenciación precisa entre estas neoplasias es esencial un enfoque sistemático paso a paso. Incluso con similitudes morfológicas entre carcinoma sinonasal escamoso pobremente diferenciado, no queratinizante (CSNE) y DEK::AFF2 se puede distinguir entre las lesiones con el uso del marcador inmunohistoquímico sustitutivo AFF2 o la mutación molecular DEK::AFF2. Comunicamos un raro caso de CSNE no queratinizante SMARCB1-retained DEK::AFF2 en una mujer de 53 años con una masa polipoide en pliegue turbinado medio izquierdo. Tras la resección quirúrgica del tumor y de los ganglios linfáticos, se administró radioterapia adyuvante para eliminar el tumor residual. (AU)

Immune checkpoint CD161/LLT1-associated immunological landscape and diagnostic value in oral squamous cell carcinoma.

An active host adaptive response is characterized by the existence of programmed cell death protein 1 (PD-1)+ /IFN-γ+ cytotoxic T cells and IFN-γ-induced PD-L1+ tumor cells (TCs), which predicts high response rate to anti-PD-1/L1 therapy. Recently, CD161 and its ligand LLT1 (CLEC2D) have been identified as an emerging checkpoint for immunotherapy. Clarifying its heterogeneous clinical expression pattern and its immune landscape is a prerequisite for maximizing the response rate of CD161 blockade therapy in a specific population of oral squamous cell carcinoma (OSCC) patients. Here, we investigated the expression pattern of CD161/LLT1 and its association with major immunocytes (T cells, B cells, NK cells, and macrophages) by multiplex immunofluorescence, immunohistochemistry, and flow cytometry in 109 OSCC tissues and 102 peripheral blood samples. TCs showed higher LLT1 levels than tumor infiltrating lymphocytes (TILs), whereas CD161 was highly expressed in CD8+ T cells at the tumor front, which was decreased in paracancerous tissue. High expression of TC-derived LLT1 (LLT1TC ) conferred poor clinical outcomes, whereas higher CD161+ and LLT1+ TILs were associated with better prognosis. Meanwhile, patients with high LLT1TC showed a decreased ratio of CD8+ /Foxp3+ T cells in situ, but CD161+ TILs correlated with more peripheral CD3+ T cells. Interestingly, treatment of OSCC patients with nivolumab (anti-PD-1) could restore tumoral CD161/LLT1 signal. Furthermore, an OSCC subgroup characterized by high LLT1+ TCs and low CD161+ CD8+ T cells showed fewer peripheral T cells and a higher risk of lymph node metastasis, leading to a shorter 5-year survival time (29%). More LLT1TC at the invasive front was another risk characteristic of exhausted T cells. In conclusion, in view of this heterogeneity, the LLT1/CD161 distribution pattern should be determined before CD161-based immunotherapy.

Identification of Metabolism-Related Prognostic Biomarkers and Immune Features of Head and Neck Squamous Cell Carcinoma.

We aimed to identify an effective metabolic subtype and risk score to predict survival and immunotherapy response in head and neck squamous cell carcinoma (HNSCC). Data were obtained from an online database. We screened significant prognostic metabolism-related genes between the normal and tumor groups using a series of bioinformatics methods. Based on the selected prognostic genes, we conducted a subtype analysis to identify significantly different subtypes in HNSCC. We then investigated survival, immune features, and hallmark differences among different subtypes. LASSO was utilized to identify optimal genes for the risk score model construction. Finally, distribution of the risk score samples was analyzed for different subtypes. A total of 32 significantly prognostic metabolism-related genes were screened, and all samples were grouped into two subtypes: cluster 1 and cluster 2. Cluster 1 had worse survival. Different immune cell infiltration (CD8 T cells, macrophages, and regulatory T cells) and immune checkpoint gene expression (PD-1 and CLAT-4) were observed between the two clusters. Twelve optimal genes were involved in risk score model, and high-risk group had poorer survival. Cluster 1 contained more high-risk samples (60%). Finally, four genes CAV1, GGT6, PYGL, and HS3ST1 were identified as significantly related to immune cells, and these genes were differentially expressed in the normal oral epithelial cells and HNSCC cells. The subtypes and risk score model in the study provide a promising biomarker for prognosis and immunotherapy response.

Investigating diagnostic potential of long non-coding RNAs in head and neck squamous cell carcinoma using TCGA database and clinical specimens.

Head and neck squamous cell carcinoma (HNSCC) is a prevalent and prognostically challenging cancer worldwide. The role of long non-coding RNAs (lncRNAs) in cancer regulation is progressively being understood. This study aims to identify lncRNAs with diagnostic potential as biomarkers for HNSCC. Statistical analysis was performed on expression data from the Cancer Genome Atlas (TCGA) database to identify potential lncRNAs associated with HNSCC. Four selected lncRNAs were validated using real-time quantitative reverse transcription polymerase chain reaction and correlated with clinical factors. Functional roles were further investigated. A total of 488 differentially expressed lncRNAs were identified in TCGA-HNSC. After rigorous evaluation based on p-values, survival analysis, and ROC analysis, 24 lncRNAs were prioritized for additional investigation. LINC00460, LINC00941, CTC-241F20.4, and RP11-357H14.17 were established as candidate diagnostic biomarkers. These lncRNAs exhibited elevated expression in HNSCC tissues and were associated with poor prognosis. Combining them showed high diagnostic accuracy. Notably, LINC00460 and CTC-241F20.4 demonstrated a significant elevation in the advanced stages of HNSCC. We constructed an lncRNA-mRNA regulatory network, and the array of significant regulatory pathways identified included focal adhesion, regulation of epithelial cell migration, and others. Additionally, these lncRNAs were found to influence immune responses by modulating immune cell infiltration in the HNSCC microenvironment. Our research indicates that LINC00460, LINC00941, RP11-357H14.17, and CTC-241F20.4 may have diagnostic and prognostic importance in HNSCC. Furthermore, we have gained insights into their potential functional roles, particularly about immune responses and interactions in the microenvironment.

Validation of the VisionArray® Chip Assay for HPV DNA Testing in Histology Specimens of Oropharyngeal Squamous Cell Carcinoma.

BACKGROUND: The detection of human papillomavirus (HPV) has several implications in the diagnostic work-up and management of oropharyngeal squamous cell carcinoma (OPSCC). The choice of HPV detection assay and testing algorithms differ across institutions and vary in cost, detection targets, technical feasibility, and turnaround time. In this study, we aimed to validate the VisionArray® HPV Chip for formalin-fixed and paraffin-embedded (FFPE) samples of OPSCC using the previously applied standard pan-HPV DNA PCR assay as a reference. METHODS: The validation cohort consisted of FFPE tissue samples from patients previously diagnosed with HPV DNA-positive OPSCC (n = 80), HPV DNA-negative OPSCC (n = 21), and a benign group of tumor samples consisting of Warthin's tumors (n = 20) and branchial cleft cysts of the lateral neck (n = 14). All samples were tested with p16 immunohistochemistry, pan-HPV DNA PCR, and the VisionArray® HPV Chip. RESULTS: The overall sensitivity and specificity of the VisionArray® HPV Chip assay were 100% [95% CI 95.5%; 100.0%] and 96.3% [95% CI 87.3%; 99.6%] and the positive predictive value and negative predictive value were 97.6% [95% CI 91.5%; 99.7%] and 100% [95% CI 93.2%; 100%], respectively. CONCLUSIONS: The VisionArray® HPV Chip assay can be recommended for high-risk HPV testing in FFPE tissue samples from OPSCC, providing both a fast and simultaneous genotyping for 41 clinically relevant HPV types.

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments.

BACKGROUND: Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic landscape of personalized medicine as applied to HNSCC, encompassing both current developments and future prospects. RECENT FINDINGS: The integration of personalized medicine strategies into HNSCC diagnosis is driven by the utilization of genetic data and biomarkers. Epigenetic biomarkers, which reflect modifications to DNA that can influence gene expression, have emerged as valuable indicators for early detection and risk assessment. Treatment approaches within the personalized medicine framework are equally promising. Immunotherapy, gene silencing, and editing techniques, including RNA interference and CRISPR/Cas9, offer innovative means to modulate gene expression and correct genetic aberrations driving HNSCC. The integration of stem cell research with personalized medicine presents opportunities for tailored regenerative approaches. The synergy between personalized medicine and technological advancements is exemplified by artificial intelligence (AI) and machine learning (ML) applications. These tools empower clinicians to analyze vast datasets, predict patient responses, and optimize treatment strategies with unprecedented accuracy. CONCLUSION: The developments and prospects of personalized medicine in HNSCC diagnosis and treatment offer a transformative approach to managing this complex malignancy. By harnessing genetic insights, biomarkers, immunotherapy, gene editing, stem cell therapies, and advanced technologies like AI and ML, personalized medicine holds the key to enhancing patient outcomes and ushering in a new era of precision oncology.

Alteration of SERPINH1 is associated with elevated expression in head and neck squamous cell carcinomas and its clinicopathological significance.

BACKGROUND/PURPOSE: Head and neck squamous cell carcinoma (HNSCC) is the sixth leading cause of cancer-related death worldwide and contributes significantly to the burden of disease in South Asia, partially due to the lack of effective screening strategies. Identifying essential biomarkers is crucial for improved prognosis and treatment. This study investigates the potential of SERPINH1 as a prognostic marker in HNSCC, highlighting its significance amidst the molecular complexity. METHODS: The Cancer Genome Atlas HNSCC cohort, comprised of 520 tumors and 44 normal tissues, was analyzed using cBioportal, UALCAN, and Protein atlas tools. Expression patterns, survival outcomes, and clinical correlations of SERPINH1 were evaluated. In-depth analyses involved oral squamous cell carcinoma (OSCC) patient samples, protein expression, and functional exploration using various in-silico tools. RESULTS: SERPINH1 exhibited significant alteration and upregulation in HNSCC and OSCC, indicating its pan-cancer potential. Immunohistochemistry confirmed its overexpression in primary HNSCC tumors. Association analyses linked altered SERPINH1 levels with tumor stage, grade, metastasis, human papillomavirus (HPV) status, and patient prognosis. Functional analyses unveiled SERPINH1's involvement in critical cellular pathways and interactions with various proteins. CONCLUSION: The significant alteration of SERPINH1 associated with upregulated expression in HNSCC and OSCC positions it as a promising diagnostic and prognostic marker. Further investigations are warranted to elucidate the underlying molecular mechanisms, paving the way for targeted therapeutic interventions and continued exploration of various malignancies.

Evaluating human papillomavirus testing, prevalence, and association with prognosis in head and neck squamous cell carcinoma by subsite: A national cancer database study.

PURPOSE: To compare human papillomavirus (HPV) testing, prevalence, and association with prognosis between head and neck squamous cell carcinoma (HNSCC) subsites. MATERIALS AND METHODS: This study utilized the National Cancer Database (NCDB) to identify patients diagnosed with HNSCC between 2010 and 2017. Rates of HPV testing, HPV-positivity, and changes in these rates over time were measured by subsite. The impact of HPV-positivity on overall survival across six head and neck subsites was assessed using multivariable-adjusted Cox proportional hazards analysis. RESULTS: A total of 121,550 patients were included. Of this cohort, 87,575 (72.1%) were tested for HPV, with the oropharynx (55,049/64,158; 85.8%) displaying the highest rates of testing and the sinonasal tract (1519/2853; 53.2%) displaying the lowest testing rates. Of the 86,136 with a definitive result, 46,878 (54.4%) were HPV-positive, with the oropharynx (40,313/54,205; 74.4%) displaying the highest rates of HPV-positivity and the oral cavity (1818/11,505; 15.8%) displaying the lowest. HPV-positive malignancy was associated with significantly improved adjusted overall survival in the oropharynx (HR = 0.42 [95% CI: 0.43-0.47]), oral cavity (HR = 0.86 [95% CI: 0.79-0.95]), sinonasal tract (HR = 0.63 [95% CI: 0.48-0.83]), larynx (HR = 0.78 [95% CI: 0.71-0.87]), and hypopharynx (HR = 0.56 [95% CI: 0.48-0.66]), but not the nasopharynx (HR = 0.93 [95% CI: 0.77-1.14]). CONCLUSION: HPV testing rates were significantly lower in non-oropharyngeal subsites. This is relevant as HPV-associated disease displayed significantly improved overall survival in both the oropharynx and four of five non-oropharyngeal subsites. While validation with prospective studies is necessary, these findings may warrant HPV testing in all HNSCC subsites.

Oral carcinogenesis and non-invasive biomarkers for the diagnosis of oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is the most prevalent cancer in Pakistani population because of consumption of different tobacco-containing products whether smoked or chewed. These patients commonly report at a late stage of the disease. The patient's survival only depends upon early-stage diagnosis. Literature has reported that there is an increased tendency of transformation of oral potentially malignant disorder (OPMD) into OSCC. Biopsy is the gold standard measure for diagnosis but for OPMD cases biopsy was not recommended and most of the times the patients were also not willing to have a biopsy done. So, along with the biopsy there is a need for non-invasive protein biomarker that might aid in the early detection of oral cancer as well as highlight the high-risk individuals. This short communication focuses on the role of early diagnostic biomarkers present in literature, such as synuclein-γ (SNCG), Squamous cell carcinoma antigen (SCCAg), p53, MMPs-12, and IL-6. Furthermore, application of these biomarkers in multi-centre longitudinal studies is needed to establish their role as a non-invasive diagnostic biomarker for OSCC.

Has the 8th American joint committee on cancer TNM staging improved prognostic performance in oral cancer? A systematic review.

BACKGROUND: The 8th edition of the American Joint Committee on Cancer (AJCC) classification has introduced two new parameters: depth of invasion (DOI) and extranodal extension (ENE). The aim of this systematic review was to determine whether this 8th edition referred to oral squamous cell carcinoma (OSCC) offers performance superior to that of the 7th edition in relation to overall survival (OS) and disease-specific survival (DSS). MATERIAL AND METHODS: The review was carried out following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines. The PubMed (MEDLINE), Scopus and Cochrane Library databases were searched covering the period up until April 7th, 2022. RESULTS: Thirteen retrospective cohort studies were finally included. The introduction of DOI and ENE in the 8th edition of the AJCC classification resulted in improved prognostic performance of the classification. CONCLUSIONS: Patients with OSCC can be better classified in relation to OS and DSS, while maintaining the simplicity and ease of use of the classification. This allows more appropriate treatment protocols to be applied and affords a better estimation of the prognosis of each patient.