Results 131 to 140 of about 116,458 (273)
Abstract Metabolic alterations and immune dysfunction within the gastric tumor microenvironment critically drive gastric cancer (GC) progression and therapeutic resistance. Although single‐cell RNA sequencing (scRNA‐seq) has unveiled cellular heterogeneity in GC, the metabolic landscapes of tumor cells and their interplay with immune components remain ...
Junjun Liu +7 more
wiley +1 more source
Abstract Background Studies regarding the long‐term outcomes of endoscopic submucosal dissection (ESD) performed in older patients with colorectal tumors are limited. Therefore, in this study, we aimed to analyze the long‐term outcomes of older patients with colorectal tumors who underwent ESD and identify prognostic factors.
Takaya Miura +16 more
wiley +1 more source
Objectives Based on pelvic floor ultrasound and Glazer pelvic floor surface electromyography parameters in postpartum patients with stress urinary incontinence (SUI), this study aims to establish a model and explore its clinical value in predicting the disease.
Lingyu Yang +4 more
wiley +1 more source
FNDC1 competitively binds Gβ2 to suppress the β‐catenin–destruction complex and promote the malignant behavior of gastric cancer (GC) by the following mechanism: elevated FNDC1 competes with Dvl for binding to Gβ2, thereby reducing Dvl–Gβ2 interaction; this reduction inhibits Dvl degradation in the cytoplasm; increased Dvl recruits Axin1, thereby ...
Wenyu Gao +9 more
wiley +1 more source
Predicting Risk of Lymph Node Metastasis in Neuroendocrine Carcinoma of Cervix: A Validated Nomogram Incorporating Neuroendocrine Markers and Clinical Parameters [PDF]
This study creates a nomogram model to predict risk probability of lymph node metastasis in NECC based on neuroendocrine biomarkers (CD56) and clinical factors. This model is superior to other existing models through the comparison. And it enables clinicians to identify low‐risk patients (risk probability threshold: 0.20) to guide the individualized ...
Jia M +7 more
europepmc +2 more sources
Abstract Fibroblastic proliferation in various tumor microenvironments influences cancer survival through complex interactions with diverse immune responses. This study investigated the impact of histologically unique activated cancer‐associated fibroblasts (aCAFs) on survival outcomes and immune responses and examined their association with various ...
Myungsun Shim +10 more
wiley +1 more source
Abstract Objectives Our objective was to develop algorithms to predict adverse pathology (AP) and recurrence‐free survival (RFS) for patients with renal tumours primarily based on multifaceted analysis of preoperative CT imaging. Patients/Methods Seven hundred forty‐eight patients with non‐metastatic renal tumours managed with definitive surgery at ...
Akira Kazama +18 more
wiley +1 more source
Identifying recurrent stone formers with machine learning: A single‐centre observational study
Abstract Objectives Kidney stones affect 12% of the population over their lifetime. Recurrent kidney stones lead to repeated interventions and excessive healthcare costs. Despite progress in imaging and metabolic evaluations, models to accurately identify patients at high risk are missing.
Pedro Amado +7 more
wiley +1 more source
Abstract Introduction and Objective This study aims to evaluate the learning curve and perioperative outcomes of single‐port extraperitoneal robotic radical prostatectomy (SP‐EP‐RARP) performed by a single surgeon at a high‐volume academic institution. Methods A retrospective review of a prospectively maintained database was conducted for patients who ...
Jacob S. Hershenhouse +11 more
wiley +1 more source
Background This study aimed to develop a nomogram to predict overall survival in anal squamous cell carcinoma (ASCC) patients undergoing chemoradiotherapy and to identify patients who may benefit from surgery.
Quan Wang +3 more
doaj +1 more source

