Recent advances in genetic testing have challenged the traditional genotype-phenotype correlation in pheochromocytomas and paragangliomas (PPGL). We aimed to characterize the genotype-phenotype correlations in PPGL in a large Korean cohort and compare our findings with those from other countries. We retrospectively analyzed 627 patients with PPGL from two centers, who underwent genetic testing for germline pathogenic variants (PV) from 2000-2023, to examine the prevalence of clusters and their correlation with specific phenotypes. Moreover, we systematically reviewed 44 studies that investigated the frequency of germline PV based on geographical differences. Germline PVs were identified in 29.7% of patients (n=186). The prevalence of cluster 1A, 1B, and 2 PV was 10.6% (n=67), 8.0% (n=50), and 11.1% (n=69), respectively. Cluster 1 patients were presented with more aggressive features, including younger age at diagnosis (39 years), higher rates of extra-adrenal (44.4%), and metastatic (27.8%) tumors, than did the wild-type and cluster 2 groups (P < 0.001). Cluster 1A patients had significantly higher metastasis rates than cluster 1B patients (38.8% vs. 12.5%; P < 0.001). The cluster 2 group showed a high recurrence risk but rarely developed metastases. The cluster 1-to-cluster 2 ratio among Koreans (1.7) was lower than that among Europeans (2.9) and North Americans (3.3). This study underscores the genetic and clinical heterogeneity of PPGL among Korean patients, based on genetic clusters, and highlights geographic variations in PV. These findings have significant implications for risk stratification, surveillance, and management strategies for patients with PPGL.
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http://dx.doi.org/10.1530/ERC-24-0269 | DOI Listing |
J Prev Alzheimers Dis
March 2025
Department of Pathophysiology School of Basic Medicine Key Laboratory of Education Ministry/Hubei Province of China for Neurological Disorders Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address:
Background: The swift rise in the prevalence of Alzheimer's disease (AD) alongside its significant societal and economic impact has created a pressing demand for effective interventions and treatments. However, there are no available treatments that can modify the progression of the disease.
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Cancer Lett
March 2025
Department of Gastroenterology, All India Institute of Medical Sciences, New Delhi-110608, India. Electronic address:
Gallbladder stones alone do not explain the risk of gallbladder cancer (GBC) as the sole etiological factor. Chronic microbial infection, particularly Salmonella, has been implicated in GB carcinogenesis, but its causative role and the underlying mechanisms are largely unknown. We studied gut and gallbladder tissue microbiome through targeted metagenomics to identify pathogenic bacteria in GBC.
View Article and Find Full Text PDFTransl Oncol
March 2025
Institute of Urology, Lanzhou University Second Hospital, Key Laboratory of Gansu Province for Urological Diseases, Gansu Urological Clinical Center, Lanzhou, China. Electronic address:
Background: Mesenchymal stem cells (MSCs), due to their tumor-targeting homing properties, are present in the tumor microenvironment (TME) and influence the biological behaviors of tumors. The purpose of this paper is to establish a signature based on the MSC secretome to predict the prognosis and treatment of bladder cancer (BLCA).
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Knee
March 2025
Department of Orthopedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL 60612, USA. Electronic address:
Background: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to quantify objectively. Here, we apply machine learning to cluster TKA subjects using nine literature-proposed gait parameters as knee instability predictors and explore cluster reliability and consistency with self-organizing map (SOM) and k-means computation.
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Diagn Microbiol Infect Dis
March 2025
Microbiology Unit, Finnish Institute for Health and Welfare, FI-70701 Kuopio, Finland.
Legionella longbeachae is an emerging cause of Legionnaires' disease in Europe. We analysed data from the National Infectious Disease Register (NIDR) and the Legionella Reference Laboratory database to characterize L. longbeachae infections and diagnostics in Finland.
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