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http://dx.doi.org/10.1007/s00467-021-05174-w | DOI Listing |
Int J Clin Oncol
January 2025
Translational Research Support Section, National Cancer Center Hospital East, Chiba, Japan.
Early cancer detection substantially improves the rate of patient survival; however, conventional screening methods are directed at single anatomical sites and focus primarily on a limited number of cancers, such as gastric, colorectal, lung, breast, and cervical cancer. Additionally, several cancers are inadequately screened, hindering early detection of 45.5% cases.
View Article and Find Full Text PDFPak J Pharm Sci
January 2025
Department of Pathophysiology, Shanxi Medical University, Jinzhong, Shanxi Province, China.
This study investigates the prognostic value of serum biomarkers PD-L1 and IGFBP-2 in patients with esophageal carcinoma. It finds a significant positive correlation between these biomarkers and established tumor markers CEA and CYFRA21-1. The 3-year survival rate for the patient cohort was 45.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Reproductive Medicine Center, Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Background: Insulin resistance (IR) is a common pathophysiologic feature in patients with polycystic ovary syndrome (PCOS). However, there have been no studies investigating the association of IR surrogates with pregnancy outcomes in women with PCOS undergoing in vitro fertilization (IVF). Therefore, we explored the association between these factors among PCOS patients.
View Article and Find Full Text PDFImmunol Res
January 2025
Department of Dermatology, Shaanxi Provincial People's Hospital, Xi'an, 710068, China.
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer progression and therapy response. This study aims to elucidate the role of mitophagy-related genes (MRGs) in cutaneous melanoma (CM) through single-cell RNA sequencing (scRNA-seq) and machine learning approaches, ultimately developing a predictive model for patient prognosis. The scRNA-seq data, bulk transcriptomic data, and clinical data of CM were obtained from publicly available databases.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G2P5, Canada.
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