Stuart C. Winter
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View article: Immune biomarkers for head and neck cancer
Immune biomarkers for head and neck cancer Open
In recent years, head and neck cancer therapy has been revolutionized by immunotherapy, which aims to restore the immune system’s anticancer activity suppressed by cancer cells. The major concern is that only a subset of patients responds …
View article: Getting recovery right after neck dissection for head and neck cancer (GRRAND): trial protocol for a multicentre, pragmatic randomised controlled trial with health economic evaluation and process evaluation
Getting recovery right after neck dissection for head and neck cancer (GRRAND): trial protocol for a multicentre, pragmatic randomised controlled trial with health economic evaluation and process evaluation Open
Introduction Head and neck cancer (HNC) affects the mouth, throat, salivary glands, voice box, nose or sinuses. Every year, over 12 000 people in the UK are diagnosed with HNC. Neck dissection is a key, surgical component of patient care. …
View article: <scp>ctDNA</scp> to Predict Treatment Response in Head and Neck Squamous Cell Carcinoma: A Systematic Review
<span>ctDNA</span> to Predict Treatment Response in Head and Neck Squamous Cell Carcinoma: A Systematic Review Open
Objective To investigate the potential role of plasma circulating tumor DNA (ctDNA) in predicting treatment response in HPV‐positive and HPV‐negative Head and Neck Squamous Cell Carcinoma (HNSCC). Data Sources Medline, PubMed, Cochrane dat…
View article: Circulating tumour DNA to augment PET-CT in determining clinical outcome after head and neck cancer treatment
Circulating tumour DNA to augment PET-CT in determining clinical outcome after head and neck cancer treatment Open
LB outperformed PET-CT at determining true disease status after CRT and could complement post-treatment imaging in CRT and surgical patients, playing a potential role in decision-making after treatment.
View article: Investigating the requirement for nasogastric tube feeding following transoral robotic surgery for head and neck cancer in Oxford: a retrospective cohort study
Investigating the requirement for nasogastric tube feeding following transoral robotic surgery for head and neck cancer in Oxford: a retrospective cohort study Open
Objectives Transoral robotic surgery is a minimally invasive technique used in the management of head and neck cancer, though post-operative odynophagia can be a significant issue. There is debate about the necessity of elective nasogastri…
View article: The Use of Fluorescent Markers to Detect and Delineate Head and Neck Cancer: A Scoping Review
The Use of Fluorescent Markers to Detect and Delineate Head and Neck Cancer: A Scoping Review Open
Objectives The aim of surgery for head and neck squamous cell carcinoma (HNSCC) is to achieve clear resection margins, whilst preserving function and cosmesis. Fluorescent markers have demonstrated potential in the intraoperative visualisa…
View article: Head and Neck Cancer: United Kingdom National Multidisciplinary Guidelines, Sixth Edition – CORRIGENDUM
Head and Neck Cancer: United Kingdom National Multidisciplinary Guidelines, Sixth Edition – CORRIGENDUM Open
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View article: New robotic platform for transoral robotic surgery: an IDEAL stage 0 study
New robotic platform for transoral robotic surgery: an IDEAL stage 0 study Open
Objectives This study aims to assess the feasibility to perform transoral robotic surgery (TORS) with a new robotic platform, the Versius Surgical System (CMR Surgical, UK) in a preclinical cadaveric setting in accordance to stage 0 of the…
View article: Table 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Table 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Characteristics of the training and validation cohorts.
View article: Figure 4 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 4 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Multivariable survival modelling (trained with backward elimination using AIC) for composite (molecular biomarkers + clinical factors) and clinical factors only with OS. A–D, Assessment of composite and clinical only models in the validati…
View article: Figure 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
A, Heatmaps summarizing the molecular and clinical data from training and validation sets. Rows contain clinical covariates and molecular biomarkers, while columns contain patients. Protein abundance H-scores (range: 0–300) were divided by…
View article: Data from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Data from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Purpose:While there are several prognostic classifiers, to date, there are no validated predictive models that inform treatment selection for oropharyngeal squamous cell carcinoma (OPSCC).Our aim was to develop clinical and/or biomarker pr…
View article: Figure 3 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 3 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
A–C, Prognostic and predictive assessment of risk groups predicted by multivariable survival model (trained with backward elimination using AIC) based on molecular biomarkers only with OS, when applied to the training cohort. D–F, Prognost…
View article: Figure 3 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 3 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
A–C, Prognostic and predictive assessment of risk groups predicted by multivariable survival model (trained with backward elimination using AIC) based on molecular biomarkers only with OS, when applied to the training cohort. D–F, Prognost…
View article: Table 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Table 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Characteristics of the training and validation cohorts.
View article: Supplementary Data 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Supplementary Data 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Combined Supplementary Methods, Figures and Tables
View article: Figure 4 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 4 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Multivariable survival modelling (trained with backward elimination using AIC) for composite (molecular biomarkers + clinical factors) and clinical factors only with OS. A–D, Assessment of composite and clinical only models in the validati…
View article: Figure 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
A, Heatmaps summarizing the molecular and clinical data from training and validation sets. Rows contain clinical covariates and molecular biomarkers, while columns contain patients. Protein abundance H-scores (range: 0–300) were divided by…
View article: Data from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Data from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Purpose:While there are several prognostic classifiers, to date, there are no validated predictive models that inform treatment selection for oropharyngeal squamous cell carcinoma (OPSCC).Our aim was to develop clinical and/or biomarker pr…
View article: Table 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Table 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Clinical examples of the OS model.
View article: Figure 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Photomicrographs showing examples of the biomarkers in the predictive classifier: p16 immunohistochemistry (A–C), high-risk HPV in situ hybridization (D–F), survivin immunohistochemistry (G–I), and TILs (J–L). A, p16-positive tumor showing…
View article: Supplementary Data 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Supplementary Data 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Combined Supplementary Methods, Figures and Tables
View article: Figure 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Figure 1 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Photomicrographs showing examples of the biomarkers in the predictive classifier: p16 immunohistochemistry (A–C), high-risk HPV in situ hybridization (D–F), survivin immunohistochemistry (G–I), and TILs (J–L). A, p16-positive tumor showing…
View article: Table 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study
Table 2 from Developing and Validating a Multivariable Prognostic-Predictive Classifier for Treatment Escalation of Oropharyngeal Squamous Cell Carcinoma: The PREDICTR-OPC Study Open
Clinical examples of the OS model.