Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Enhancing colonoscopy reporting quality: impact of structured templates and educational tutorials on automated adenoma detection rate reporting tool performance. [PDF]
Rayapati D +5 more
europepmc +1 more source
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Reporting quality of systematic reviews published from 2011 to 2024 in the <i>Journal of Korean Biological Nursing Science</i> based on the PRISMA 2020 checklist: a methodological review. [PDF]
Cho MK, Kim MY.
europepmc +1 more source
CEACAM1 participation in breast cancer progression
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source
Effect of TRIPOD+AI Guidelines on the Reporting Quality of Artificial Intelligence Prediction Models in Orthopaedic Surgery: An 18-Month Bibliometric Study. [PDF]
Singh S.
europepmc +1 more source
Critical Analysis of Reporting Quality of Network Meta-Analyses in Periodontology and Implantology. [PDF]
Ashi HM, Khurshid Z.
europepmc +1 more source
The reporting quality and methodological quality of dynamic prediction models for cancer prognosis. [PDF]
Yan P +23 more
europepmc +1 more source
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis. [PDF]
Smiley A +4 more
europepmc +1 more source
Methodological and reporting quality of Thoracic Society of Australia and New Zealand clinical guidance documents<sup>†</sup>. [PDF]
Soon WCL +4 more
europepmc +1 more source

