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Cofilin-1 (CFL1) is an actin-regulating protein encoded by the CFL1 gene and plays a central role in cytoskeletal dynamics, cell motility, and invasion-processes critical for tumor progression and metastasis. Aberrant CFL1 expression has been linked to poor prognosis, therapeutic resistance, and increased metastatic potential across several human cancers. This review consolidates clinical evidence from studies involving human samples over the past 15 years, highlighting CFL1 as a candidate prognostic and predictive biomarker. We analyze tumor-specific expression patterns, detection methodologies as immunohistochemistry, ELISA, proteomics and discuss regulatory pathways involving CFL1. Particular attention is given to prostate cancer, where the lack of reliable molecular biomarkers for risk stratification represents a clinical gap. Despite promising associations, the clinical translation of CFL1 is hindered by heterogeneity in quantification protocols and limited prospective validation. We outline the key challenges and propose future directions to establish CFL1 as a clinically actionable biomarker, with potential relevance to personalized cancer management.
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http://dx.doi.org/10.1016/j.gene.2025.149746 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Medical Oncology, Early Phase Unit, Georges-François Leclerc Centre, Dijon, France.
Background: Sarcomas are rare cancer with a heterogeneous group of tumors. They affect both genders across all age groups and present significant heterogeneity, with more than 70 histological subtypes. Despite tailored treatments, the high metastatic potential of sarcomas remains a major factor in poor patient survival, as metastasis is often the leading cause of death.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
University of Nevada, Las Vegas, Las Vegas, NV, United States.
Background: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients' prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.
View Article and Find Full Text PDFCrit Care Explor
September 2025
Division of Tropical Medicine and Infectious Diseases, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Importance: Sepsis remains a leading cause of death in infectious cases. The heterogeneity of immune responses is a major challenge in the management and prognostication of patients with sepsis. Identifying distinct immune response subphenotypes using parsimonious classifiers may improve outcome prediction, particularly in resource-limited settings.
View Article and Find Full Text PDFClin Transl Gastroenterol
September 2025
Department of Internal Medicine, School of Medicine, University of Medicine and Pharmacy at Ho Cho Minh City, Vietnam.
Background: Severe acute pancreatitis (SAP) is a life-threatening condition requiring early risk stratification. While the Bedside Index for Severity in Acute Pancreatitis (BISAP) is widely used, its reliance on complex parameters limits its applicability in resource-constrained settings. This study introduces a decision tree model based on Classification and Regression Tree (CART) analysis, utilizing Neutrophil-to-Lymphocyte Ratio (NLR) and C-reactive Protein (CRP), as a simpler alternative for early SAP prediction.
View Article and Find Full Text PDFNeuroendocrinology
September 2025
Introduction Neuroendocrine tumors (NETs) are a rare and heterogeneous group of neoplasms with both clinical and genetic diversity. The clinical applicability of molecular profiling using liquid biopsy for identifying actionable drug targets and prognostic indicators in patients with advanced NETs remains unclear. Methods In this study, we utilized a custom-made 37 genes panel of circulating tumor DNA (ctDNA) based on next-generation sequencing (NGS) in 47 patients with advanced NETs.
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