Search Results (633)

Background: Mucosal malignant melanoma (MMM) is a rare and aggressive malignancy with a dismal prognosis. While the Systemic Immune-Inflammation Index (SII) has emerged as a prognostic marker in various solid tumors, its specific value in MMM remains undefined. This study investigated the association between pretreatment SII and overall survival (OS) in patients with MMM. Methods: We retrospectively analyzed 106 adults with histologically confirmed MMM treated at six oncology centers in Turkey between 2005 and 2025. The baseline SII was calculated as platelet × neutrophil/lymphocyte counts obtained before definitive treatment. A receiver operating characteristic (ROC) analysis identified an optimal SII cutoff of 776 for overall survival (OS), defining low (<776) and high (≥776) SII groups. Results: Gastrointestinal and head and neck mucosa were the most frequent primary sites, and one-third of patients presented with metastatic disease. The median OS for the entire cohort was 23.3 months. Patients with a high versus low SII had a shorter OS (16.2 vs. 35.2 months; HR 2.71, 95% CI 1.67–4.40; p < 0.001). In multivariable analysis, a high SII (HR 1.88, 95% CI 1.12–3.14; p = 0.016), gastrointestinal primary site (HR 1.99, 95% CI 1.23–3.23; p = 0.005), and metastatic disease at diagnosis (HR 4.01, 95% CI 2.32–6.94; p < 0.001) independently predicted a worse OS. Conclusions: The SII is a novel, independent prognostic biomarker in MMM. Elevated pretreatment SII correlates with aggressive clinicopathologic features and inferior survival. As a readily accessible and cost-effective marker, SII may facilitate improved risk stratification in routine clinical practice for MMM patients. Full article

HPV-positive OPSCC shows a favourable prognosis, prompting evaluation of de-escalated and adaptive strategies. Quantitative imaging may provide scalable biomarkers to individualise care. Quantitative imaging can support baseline risk stratification, early on-treatment decision-making, and posttreatment surveillance in HPV-positive OPSCC. Real-world translation requires standardised reporting, calibration/harmonisation across centres, rigorous model validation, and workflow integration with radiotherapy planning. Quantitative MRI, CT, and PET, augmented by radiomics and AI, show convergent promise as non-invasive biomarkers to enable safe individualisation of therapy in HPV-positive OPSCC, contingent on methodological rigour and prospective, externally validated studies. Despite this promise, clinical translation faces substantial barriers, including limited external validation, heterogeneous methodologies, and the need for standardised, prospectively validated pipelines. Full article

Recurrent or metastatic squamous cell carcinoma of the head and neck (R/M SCCHN) carries a poor prognosis; however, immune checkpoint inhibitors have emerged as critical therapeutic options. Although the KEYNOTE-048 trial established the efficacy of pembrolizumab, the population was restricted to major sites (e.g., oral cavity, oropharynx, hypopharynx, and larynx), excluding subsites such as the paranasal sinuses and nasopharynx. To evaluate outcomes in these populations, we conducted a multicenter retrospective study of 167 patients with R/M SCCHN treated with pembrolizumab between December 2019 and February 2022. The cohort comprised 127 patients with tumors in included sites and 27 in excluded subsites. Primary endpoints included overall survival (OS), progression-free survival (PFS), overall response rate (ORR), disease control rate (DCR), and immune-related adverse events (irAEs). In the excluded subsite group, median OS was 15.2 months (1-year rate: 70.6%), and median PFS was 4.9 months (1-year rate: 21.2%). The ORR was 22.2% and the DCR was 59.3%. The incidence of irAEs was 25.9%, with Grade ≥ 3 events in 3.7%. Survival outcomes did not differ significantly from those in included sites. These findings suggest the potential efficacy and safety of pembrolizumab in subsites excluded from KEYNOTE-048, warranting validation in prospective trials. Full article

Oncological safety is essential for autologous reconstruction after resection of cartilage-infiltrating head and neck tumors. High hydrostatic pressure (HHP) enables complete devitalization of tumor-infiltrated tissue while preserving extracellular matrix integrity. However, residual soluble tumor-derived products may influence infiltrating stromal cells. This study examined whether conditioned media (CM) from HHP-treated head and neck squamous cell carcinoma (HNSCC) cells induce cancer-associated fibroblast (CAF)-like transdifferentiation of human adipose stromal cells (hASCs). HASCs were exposed to CM from untreated or HHP-treated (300 MPa) HNSCC cells, tumor-CM (TCM), or TGF-β1. Morphological changes in hASCs were evaluated, and CAF marker expression was analyzed by qRT-PCR, immunofluorescence, Western blot, and ELISA. Cytokines were quantified via multiplex analysis. TGF-β1 induced a CAF-like phenotype with α-SMA upregulation, whereas TCM and 0 MPa-CM caused only modest increases in selected markers. Although 300 MPa-CM did not induce CAF-associated molecular signatures, hASCs exhibited morphological alterations, underscoring that morphology alone is insufficient to define CAF transdifferentiation. Cytokine secretion was elevated in response to all CM conditions. These findings indicate that HHP treatment at 300 MPa abolishes the paracrine CAF-inducing potential of tumor-derived mediators in vitro, supporting the oncological safety of HHP-treated tissues under these experimental condition, although further in vivo validation is warranted Full article

Background/Objectives: The aim of the present systematic review is to evaluate the performance of AI models for length of stay prediction. Methods: This SR was carried out in accordance with PRISMA 2020 and registered in PROSPERO database (CRD420251039985). Using the PICOS framework, we formulated the following research question: “Can artificial intelligence models accurately predict hospital length of stay (LOS) in patients undergoing head and neck (H&N) cancer surgery?” We searched the Cochrane Library, Embase, PubMed, and Scopus, with additional gray literature identified through Google Scholar and ProQuest. Risk of bias (RoB) was assessed using the Prediction Model Risk of Bias Assessment Tool (PROBAST), and a narrative synthesis was performed to summarize qualitative findings. Results: Of 1304 identified articles, 5 met inclusion criteria, covering 5009 patients. All studies used supervised learning to predict LOS with different variables presenting stronger associations with increased hospital LOS. Age, race, ASA score, BMI, and comorbid factors like smoking and arterial hypertension were comon variables across studies but not always the ones most strongly associated with LOS. One study also predicted discharge to non-home facilities and prolonged LOS; only one applied data balancing. Model accuracies ranged from 0.63 to 0.84, and area under the receiver operator characteristics curve (AUROC) values from 0.66 to 0.80, suggesting moderate discriminative performance. All studies had a high risk of bias, though no applicability concerns were noted. Conclusions: AI models show potential for LOS prediction after H&N cancer surgery; however, an elevated RoB and methodological shortcomings constrain the current evidence. Methodological improvements, external validation, and transparent reporting is essential to enhance reliability and generalizability, enabling integration into clinical decision-making. Full article

Survival rates for children treated for malignant diseases continue to improve, yet many survivors face persistent late oral complications that affect function, aesthetics, and quality of life. Oncological therapy, especially at a young age and following head and neck radiotherapy or intensive chemotherapy, can disrupt dental and craniofacial development, resulting in dental developmental disorders, enamel defects, salivary gland dysfunction, caries susceptibility, periodontal problems, trismus, and osteoradionecrosis of the jaw. Although these effects are partially known, they are frequently underrecognized in routine practice, and many children do not receive adequate long-term dental follow-up. A key challenge highlighted in the recent literature is the absence of structured, evidence-based guidelines for monitoring and managing late oral effects. The article emphasizes the need for clearer recommendations, better communication of oncological treatment histories, and stronger integration of dental professionals within survivorship care. Developing standardized follow-up protocols will be essential to ensure timely detection, consistent management, and improved oral health outcomes for childhood cancer survivors. This article is intended as a narrative review, synthesizing available evidence from key publications to highlight clinically relevant late oral complications and gaps in current survivorship care. Full article

Psychotropic medicinal plants are commonly used among oncology patients, yet their relevance in the perioperative setting remains insufficiently characterized. We conducted a literature-based identification of 18 neuroactive plants and surveyed 123 cancer patients and 109 healthcare professionals at a tertiary hospital in Northern Thuringia, Germany. Seventy-five percent of patients reported using at least one psychotropic plant. Knowledge levels were high and similar across groups (median 11 plants), while professionals reported a broader usage spectrum (p = 0.042). Frequently known and applied species included Valeriana officinalis, Lavandula angustifolia, Hypericum perforatum, and Urtica. Women used more plants than men (p = 0.024), and higher usage rates were observed in breast cancer and head and neck cancer patients. Heat-map analyses showed substantial overlap in knowledge but differences for species such as Atropa, Cannabis, and Papaver somniferum. Given the potential interactions with anesthetic and analgesic medications, structured preoperative assessment of herbal use is warranted to enhance perioperative safety. Full article

Background: Radiotherapy is a cornerstone of treatment for cervical and endometrial cancers but is associated with vascular and perivascular changes that can increase surgical complexity and perioperative morbidity. While these effects are well documented in head, neck, and mediastinal irradiation, the pelvic vasculature remains underexplored. Methods: We retrospectively analyzed 119 patients who underwent pelvic oncologic surgery after RT (57.1% cervical cancer, 42.9% endometrial cancer). Intraoperative vascular findings were recorded and correlated with tumor type, perioperative complications, and vascular injury. Logistic regression was used to identify predictors of perioperative morbidity. Results: Perivascular fibrosis (21.8%) and inflammatory thrombosis (10.1%) were the most frequent intraoperative vascular changes, with no significant differences between tumor types. Most patients required no vascular procedure; when needed, simple venorrhaphy was sufficient, and no complex vascular reconstructions were performed. Perioperative complications occurred more frequently in cervical cancer patients (RR = 2.66; p = 0.02), with hemorrhage and urinary tract injury being the most common. Cervical tumor site and perivascular fibrosis were borderline predictors of complications. Conclusions: Neoadjuvant RT induces measurable intraoperative vascular changes without significantly increasing major vascular injury, particularly in experienced surgical settings. Cervical cancer patients represent a higher-risk subgroup, underscoring the need for meticulous surgical planning and multidisciplinary perioperative management. Perivascular fibrosis may serve as a marker for operative risk stratification, and long-term vascular surveillance is warranted due to the potential for delayed macrovascular events. Full article

Background/Objectives: Fibroblast activation protein (FAP), which is abundantly expressed in cancer-associated fibroblasts (CAFs) across various epithelial malignancies, has emerged as a promising target for molecular imaging and radionuclide therapy. Although several reviews have addressed FAP-targeted diagnostics, a comprehensive synthesis integrating molecular biology, diagnostic performance, and early therapeutic development remains limited. This review summarises the current evidence on radionuclide-labelled FAP inhibitors (FAPIs), with particular emphasis on their diagnostic utility, emerging therapeutic applications, and the structural features that shape their biological behaviour. Methods: A structured literature search was conducted across PubMed, Scopus, and Web of Science, focusing on FAPI-based imaging and therapy. Results: Diagnostic studies consistently demonstrate high tumour-to-background contrast for [⁶⁸Ga]Ga and [¹⁸F]-labelled FAPI radiotracers, particularly in tumours with prominent stromal components such as pancreatic, colorectal, breast, and head and neck cancers. FAPI PET/CT often surpasses [¹⁸F]FDG in lesion conspicuity in the brain, liver, and peritoneum. Therapeutic evidence shows encouraging tumour retention and safety profiles for agents such as [¹⁷⁷Lu]Lu-FAP-2286 and [⁹⁰Y]Y-FAPI-46, while α-emitting radiotracers (e.g., [²²⁵Ac]Ac-FAPI-04) demonstrate potent antitumor effects in preclinical models. Conclusions: Radiolabelled FAPI radiotracers hold significant potential as dual diagnostic and therapeutic agents, particularly for desmoplastic tumours with high CAF content. Nonetheless, clinical evidence remains in its early stages, and substantial questions persist regarding dosimetry, intertumoral variability in FAP expression, and optimal ligand selection for therapy. Continued development of next-generation FAPI constructs, along with well-designed prospective trials, will be crucial in defining the future role of FAPI-based theranostics in oncology. Full article

Background: As pediatric head and neck cancer (pHNC) incidence increases, the development of new surgical oncology techniques to reduce morbidity are essential. Intraoperative navigation (iNav) represents the most translatable technology among both the model-comparative and integrative surgical navigation technologies to optimize surgical outcomes. Methods: A scoping review of the literature was performed according to PRISMA guidelines from 1970 to present (February 2025), investigating the use of iNav in cases of pHNC. Patient case details and authors’ perception of iNav’s utility were analyzed. A single-center retrospective case series review (September 2022 to September 2025) of the senior authors’ experience employing iNav in pHNC cases was also performed. Results: The scoping review identified twenty-seven cases of pHNC from sixteen studies that both utilized iNav and met the inclusion criteria. Many of the authors commented favorably on the utility of iNav technology, while concurrently agreeing upon its limitations. The case series review identified five cases of pHNC that met the inclusion criteria. This small case series revealed a 100% R0 resection rate with the use of iNav in four pHNC resections. The fifth case used iNav for biopsy site selection. Conclusions: The results of our scoping review as well as our institutional experience with this technology demonstrate its utility in guiding surgical approach, confirming depth of resection, and navigating marginal assessment. This study was limited by incidental and incomplete reporting of iNav’s clinical application to pHNC; several extensive institutional reports had to be excluded due to insufficiently detailed data linkage. Our review builds upon the existing pediatric surgical literature, anchoring the evidentiary justification for the application of iNav to pediatric head and neck surgery. Full article

Background: The aim of the present systematic review (SR) is to compile evidence regarding the use of radiomic-based machine learning (ML) models for predicting human papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC) patients and to assess their reliability, methodological frameworks, and clinical applicability. The SR was conducted following PRISMA 2020 guidelines and registered in PROSPERO (CRD42025640065). Methods: Using the PICOS framework, the review question was defined as follows: “Can radiomic-based ML models accurately predict HPV status in OPSCC?” Electronic databases (Cochrane, Embase, IEEE Xplore, BVS, PubMed, Scopus, Web of Science) and gray literature (arXiv, Google Scholar and ProQuest) were searched. Retrospective cohort studies assessing radiomics for HPV prediction were included. Risk of bias (RoB) was evaluated using Prediction model Risk Of Bias ASsessment Tool (PROBAST), and data were synthesized based on imaging modality, architecture type/learning modalities, and the presence of external validation. Meta-analysis was performed for externally validated models using MetaBayesDTA and RStudio. Results: Twenty-four studies including 8627 patients were analyzed. Imaging modalities included computed tomography (CT), magnetic resonance imaging (MRI), contrast-enhanced computed tomography (CE-CT), and ¹⁸F-fluorodeoxyglucose positron emission tomography (¹⁸F-FDG PET). Logistic regression, random forest, eXtreme Gradient Boosting (XGBoost), and convolutional neural networks (CNNs) were commonly used. Most datasets were imbalanced with a predominance of HPV+ cases. Only eight studies reported external validation results. AUROC values ranged between 0.59 and 0.87 in the internal validation and between 0.48 and 0.91 in the external validation results. RoB was high in most studies, mainly due to reliance on p16-only HPV testing, insufficient events, or inadequate handling of class imbalance. Deep Learning (DL) models achieved moderate performance with considerable heterogeneity (sensitivity: 0.61; specificity: 0.65). In contrast, traditional models provided higher, more consistent performance (sensitivity: 0.72; specificity: 0.77). Conclusions: Radiomic-based ML models show potential for HPV status prediction in OPSCC, but methodological heterogeneity and a high RoB limit current clinical applicability. Full article

Introduction: Histopathologic assessment of surgical specimens imparts crucial information that is essential for diagnosis, treatment planning and prognostication for patients with Oropharyngeal Squamous Cell Carcinoma (OPSCC). This review explores the range of diagnostic techniques utilized to assess the HPV (Human Papilloma Virus) status in OPSCC. It covers both traditional methods—such as p16 immunohistochemistry, HPV in situ hybridization, and DNA polymerase chain reaction (PCR)—and newer, evolving strategies including circulating HPV tumor DNA analysis and oral HPV DNA/mRNA PCR testing. Discussion: There are currently several histopathologic techniques for the diagnosis of HPV-associated OPSCC. This complexity of care has led to guidelines from numerous authorities (NCCN, ASCO, CAP), which this paper discusses and summarizes for head and neck oncology specialists. Conclusion: The ability to detect HPV in HPV-associated OPSCC is imperative for diagnosis, prognostication, staging, and management of the disease. Advances including liquid biopsy (TTMV-HPV DNA) may be utilized as an adjunct to diagnosis, treatment, and cancer surveillance in the future. Full article

Head and neck cancer surgery has evolved from radical organ-sacrificing procedures to function-preserving approaches integrated within multidisciplinary frameworks. This comprehensive literature review, concentrating on studies from the past five years while incorporating relevant publications from the last three decades and landmark historical papers, examines the evolving role of surgery emphasizing diagnostic methodologies including comprehensive genomic profiling, validated imaging biomarkers, and their clinical integration for treatment selection and response prediction. Modern surgical practice demonstrates a paradigm shift toward precision medicine through validated diagnostic technologies. Comprehensive genomic profiling identifies clinically actionable alterations in over 90% of head and neck squamous cell carcinomas, with tumor mutational burden serving as a validated predictive biomarker for immunotherapy response. Programmed death-ligand 1 (PD-L1) combined positive score functions as a validated diagnostic biomarker for immunotherapy efficacy, demonstrating significant clinical benefit in biomarker-selected populations. Radiomics-based predictive models utilizing machine learning algorithms achieve diagnostic accuracies exceeding 85% for treatment response prediction when validated across independent cohorts. Quantitative ultrasound spectroscopy combined with magnetic resonance imaging radiomics demonstrates high sensitivity and specificity for radiation response prediction. Habitat imaging techniques characterizing tumor microenvironmental heterogeneity predict pathologic complete response to neoadjuvant chemoimmunotherapy with area under the curve values approaching 0.90 in validation studies. Integration of these diagnostic methodologies enables response-adaptive treatment strategies, with neoadjuvant chemotherapy facilitating mandibular preservation and adjuvant therapy omission in over half of human papillomavirus (HPV)-associated cases following surgical downstaging. Clinical validation of these diagnostic platforms enables accurate treatment response prediction and informed surgical decision-making, though standardization across institutions and demonstration of survival benefits through prospective trials remain essential for broader implementation. Full article

Background/Objectives: Oropharyngeal squamous cell carcinoma (OPSCC) management has shifted following recognition of HPV-driven disease. Neoadjuvant chemotherapy (NAC) has historically failed to improve overall survival (OS) in mixed head and neck cohorts, although contemporary HPV-stratified series suggest NAC may enable treatment de-escalation. We aimed to narratively synthesize OPSCC-specific evidence on NAC focusing on primary and nodal response, pathologic complete response (pCR), survival, and functional outcomes. Methods: We conducted a narrative review of PubMed, selecting primary studies in which OPSCC outcomes were reported separately (surgery- or chemoradiotherapy [CRT]-based strategies; HPV status when available). We extracted study design, treatment regimens, response outcomes, survival, and toxicity data. Results: Pre-HPV studies showed variable responses and no consistent OS advantage over locoregional therapy. In the HPV era, non-comparative cohorts of NAC followed by transoral surgery reported substantial downstaging and high pCR rates at both the primary site and regional nodes, with 3–5-year OS frequently ≥80%. NAC+CRT paradigms demonstrated high clinical CR rates and OS exceeding 80–90%, and lower feeding-tube dependence and reduced swallowing morbidity in de-escalated regimens. Comparative retrospective series suggest NAC + surgery may be associated with lower rates of distant metastases and feeding-tube use compared with CRT or upfront surgery, although interpretation is limited by selection bias, regimen heterogeneity, and small sample sizes. Conclusions: While randomized trials have not established an OS advantage for NAC over standard CRT in head and neck cancer overall, HPV-positive OPSCC shows emerging evidence that systemic intensification with NAC may enable surgical and/or radiation de-escalation with promising oncologic and functional outcomes. Full article

Head and neck cancer represents a heterogeneous group of malignancies. Oral squamous cell carcinoma (OSCC) is the most prevalent form of head and neck cancer, with a rising incidence in recent years. Risk factors for developing OSCC include exposure to carcinogens, such as alcohol and tobacco products, that can lead to molecular alterations in the oral mucosa and progression from premalignant lesions to invasive phenotypes. Despite the relative curative potential of localized OSCC, the overall prognosis of OSCC has not significantly improved for decades due to a frequently delayed diagnosis and limited targeted treatment options. There remains a need to better characterize the molecular biomarkers of OSCC progression, especially in dysplastic mucosal lesions, before their malignant transformation. In this review, we discuss several molecular biomarkers highly implicated in OSCC tumorigenesis that have demonstrated correlation with clinicopathological parameters and clinical outcomes. These biomarkers are typically involved in vital pathways of carcinogenesis, including cell cycle control, growth factor signaling, and stress responses. They include ubiquitous cancer biomarkers such as p53 and PTEN, as well as those more specific to OSCC, such as DJ-1 and Cornulin. Collectively, we envision that a diverse panel of these biomarkers can provide the greatest clinical benefit in enhancing early detection and prognostic accuracy, while some individual biomarkers may also serve as therapeutic targets for personalized approaches to head and neck cancers. Full article