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Intratumor Heterogeneity Predicts Prognosis in Lepidic Predominant Lung Adenocarcinoma.
Thorac Cancer
January 2025
Department of Thoracic Surgery, Thoraxklinik, Heidelberg University Hospital, Heidelberg, Germany.
Objective: Among the different subtypes of invasive lung adenocarcinoma, lepidic predominant adenocarcinoma (LPA) has been recognized as the lowest-risk subtype with good prognosis. The aim of this study is to provide insight into the heterogeneity within LPA tumors and to better understand the influence of other sub-histologies on survival outcome.
Methods: Overall, 75 consecutive patients with LPA in pathologic stage I (TNM 8th edition) who underwent resection between 2010 and 2022 were included into this retrospective, single center analysis.
Urinary albumin-to-creatinine ratio as an independent predictor of long-term mortality in atherosclerotic cardiovascular disease patients: A propensity score-matched study: UACR and Long-term Mortality in ASCVD.
Am J Prev Cardiol
March 2025
Department of Cardiology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, PR China.
Background And Aims: Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of mortality, and while the association between the urinary albumin-to-creatinine ratio (UACR) and cardiovascular risk is recognized, the specific impact of UACR on the long-term survival of ASCVD patients remains not fully understood. The aim of this study is to investigate the influence of UACR on the long-term risk of all-cause mortality in patients with ASCVD.
Methods: This study included ASCVD patients from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018.
Identify characteristics of Vietnamese oral squamous cell carcinoma patients by machine learning on transcriptome and clinical-histopathological analysis.
J Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.
Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.
Investigating combined hypoxia and stemness indices for prognostic transcripts in gastric cancer: Machine learning and network analysis approaches.
Biochem Biophys Rep
March 2025
Department of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Introduction: Gastric cancer (GC) is among the deadliest malignancies globally, characterized by hypoxia-driven pathways that promote cancer progression, including stemness mechanisms facilitating invasion and metastasis. This study aimed to develop a prognostic decision tree using genes implicated in hypoxia and stemness pathways to predict outcomes in GC patients.
Materials And Methods: GC RNA-seq data from The Cancer Genome Atlas (TCGA) were analyzed to compute hypoxia and stemness scores using Gene Set Variation Analysis (GSVA) and the mRNA expression-based stemness index (mRNAsi).
Joint association of physical activity and the geriatric nutritional risk index with survival outcomes among cancer survivors in the United States: a population-based cohort study.
Front Nutr
December 2024
Department of Medical Oncology, Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Introduction: The relationship between physical activity (PA) and nutritional status on the prognosis of cancer survivors remains underexplored. We aimed to investigate the combined effects of PA and Geriatric Nutritional Risk Index (GNRI) on prognostic assessment of survival outcomes in US cancer survivors.
Methods: 2,619 subjects were screened from the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2018.
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