Results 231 to 240 of about 198,685 (310)

The NOTCH Pathway in Head and Neck Squamous Cell Carcinoma

open access: yesJournal of dentistry research, 2018
T. Fukusumi, Joseph A. Califano
semanticscholar   +1 more source

Does Smoking Influence Outcomes in Human Papillomavirus—Associated Oropharyngeal Cancer Treated with Transoral Robotic Surgery?

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Smoking has been identified as a risk factor for recurrence in HPV‐associated oropharyngeal squamous cell carcinoma (OPSCC) treated with definitive chemoradiation. Whether the same prognostic significance holds with surgical treatment such as transoral robotic surgery (TORS) is less well studied.
Jane Y. Tong   +8 more
wiley   +1 more source

A minimal physiologically‐based pharmacokinetic modeling platform to predict intratumor exposure and receptor occupancy of an anti‐LAG‐3 monoclonal antibody

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 460-473, March 2025.
Abstract In oncology drug development, measuring drug concentrations at the tumor site and at the targeted receptor remains an ongoing challenge. Positron emission tomography (PET)‐imaging is a promising noninvasive method to quantify intratumor exposure of a radiolabeled drug (biodistribution data) and target saturation by treatment doses in vivo ...
Robin Michelet   +8 more
wiley   +1 more source

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar   +5 more
wiley   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou   +4 more
wiley   +1 more source

Assessment of Some Trace Metals in Head and Neck Squamous Cell Carcinoma: A Case-Control Study. [PDF]

open access: yesJ Dent (Shiraz)
Dalirsani Z   +8 more
europepmc   +1 more source

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