Correlation between pancreatic cancer and metabolic syndrome: A systematic review and meta-analysis
L Zhong, J Liu, S Liu, G Tan - Frontiers in Endocrinology, 2023 - frontiersin.org
Objective Pancreatic cancer is a globally frequent cause of death, which can be caused by
many factors. This meta-analysis was performed to assess the correlation between …
many factors. This meta-analysis was performed to assess the correlation between …
Understanding the role of metabolic syndrome as a risk factor for hepatocellular carcinoma
NC Chavez-Tapia, S Murúa-Beltrán Gall… - Journal of …, 2022 - Taylor & Francis
Hepatocellular carcinoma (HCC) and metabolic syndrome (MetS) have a rising prevalence
worldwide. The relationship between these two entities has long been studied and …
worldwide. The relationship between these two entities has long been studied and …
[PDF][PDF] Risk of nonalcoholic fatty liver disease and associations with gastrointestinal cancers
Metabolic syndrome may contribute to the rising incidence of multiple gastrointestinal (GI)
cancers in recent birth cohorts. However, other than hepatocellular carcinoma, the …
cancers in recent birth cohorts. However, other than hepatocellular carcinoma, the …
Establishment of a 7-gene expression panel to improve the prognosis classification of gastric cancer patients
MB Velásquez Sotomayor, AV Campos Segura… - Frontiers in …, 2023 - frontiersin.org
Gastric cancer (GC) ranks fifth in incidence and fourth in mortality worldwide. The high death
rate in patients with GC requires new biomarkers for improving survival estimation. In this …
rate in patients with GC requires new biomarkers for improving survival estimation. In this …
Association between surrogate markers of insulin resistance and the incidence of colorectal cancer in Korea: A nationwide population-based study
M Son, SY Moon, M Koh, Y Kang, JY Lee - Journal of Clinical Medicine, 2024 - mdpi.com
Background: Insulin resistance (IR) is assessed using surrogate markers such as the
triglyceride–glucose (TyG) index, the triglyceride-to-high-density lipoprotein cholesterol …
triglyceride–glucose (TyG) index, the triglyceride-to-high-density lipoprotein cholesterol …
The cellular and molecular targets of natural products against metabolic disorders: a translational approach to reach the bedside
X Shen, H Yang, Y Yang, X Zhu, Q Sun - MedComm, 2024 - Wiley Online Library
Metabolic disorders, including obesity, dyslipidemia, diabetes, nonalcoholic fatty liver
disease, and metabolic syndrome, are characterized by insulin resistance, abnormalities in …
disease, and metabolic syndrome, are characterized by insulin resistance, abnormalities in …
Metabolic dysfunction-associated steatotic liver disease and extrahepatic gastrointestinal cancers
Metabolic dysfunction-associated steatotic liver disease (MASLD) poses a significant and
ever-increasing health and economic burden worldwide. Substantial epidemiological …
ever-increasing health and economic burden worldwide. Substantial epidemiological …
Metabolic Syndrome and Risk of Amyotrophic Lateral Sclerosis: Insights from a Large‐Scale Prospective Study
J Zhang, W Cao, J Xie, C Pang, L Gao… - Annals of …, 2024 - Wiley Online Library
Objective Although metabolic abnormalities are implicated in the etiology of
neurodegenerative diseases, their role in the development of amyotrophic lateral sclerosis …
neurodegenerative diseases, their role in the development of amyotrophic lateral sclerosis …
Targeted Metabolomics Revealed a Sex-Dependent Signature for Metabolic Syndrome in the Mexican Population
B Palacios-González, G León-Reyes… - Nutrients, 2022 - mdpi.com
Metabolic syndrome (MetS) is a group of several metabolic conditions predisposing to
chronic diseases. Individuals diagnosed with MetS are physiologically heterogeneous, with …
chronic diseases. Individuals diagnosed with MetS are physiologically heterogeneous, with …
A comparison of machine learning models and Cox proportional hazards models regarding their ability to predict the risk of gastrointestinal cancer based on metabolic …
TT Tran, J Lee, M Gunathilake, J Kim, SY Kim… - Frontiers in …, 2023 - frontiersin.org
Background Little is known about applying machine learning (ML) techniques to identify the
important variables contributing to the occurrence of gastrointestinal (GI) cancer in …
important variables contributing to the occurrence of gastrointestinal (GI) cancer in …