Abstract ROS1‐rearranged lung adenocarcinoma is a rare subset of non‐small‐cell lung cancer, typically occurring in young never‐smokers. Its occurrence in very young men with a fluid‐dominant presentation is unusual and may lead to diagnostic pitfalls.
Thanh Thao Nguyen +4 more
wiley +1 more source
Towards Precision Oncology: How Advances in Cancer Genomics, Immunobiology and Artificial Intelligence Will Change Molecular Diagnostics. [PDF]
Izevbaye I.
europepmc +1 more source
The combination of immune checkpoint inhibitors (ICIs) and radiotherapy synergistically enhances efficacy through an “antigen release‐immune activation” closed‐loop mechanism, significantly improving outcomes in solid tumors (e.g., lung cancer, melanoma).
Guiling Song +5 more
wiley +1 more source
Anti-angiogenesis effect of Baiying Juhua Decoction on the non-small cell lung cancer: integrating pharmacology, multi-machine learning and experimental investigation. [PDF]
Meng X +5 more
europepmc +1 more source
129TiP: A single arm phase II study evaluating intracranial efficacy of sacituzumab govitecan (SG) with bevacizumab (BEV) in patients (pts) with active, asymptomatic brain metastases (BM) from non-small cell lung cancer (NSCLC) [PDF]
L. Hendriks +9 more
openalex +1 more source
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
Pharmacological strategies to overcome immune checkpoint inhibitor resistance in non-small cell lung cancer. [PDF]
Xu Y, Shen H, Shang D, Zhu C.
europepmc +1 more source
202P: Durvalumab after definitive chemoradiation (dCRT) in non-small cell lung cancer (NSCLC) patients with actionable driver mutations [PDF]
Jol S., K.M. Cheung
openalex +1 more source
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
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
Inhibition of GALNT7 suppresses cell proliferation and invasiveness while elevating cell apoptosis via the inactivation of the AKT pathway in non-small cell lung cancer. [PDF]
Zhou Y +5 more
europepmc +1 more source

