Men are more frequently diagnosed with kidney cancer than women, with a more aggressive histology, larger tumors, a higher grade and stage, and worse oncological outcomes. Smoking habits and sex steroid hormones seem to have a possible role in explaining these gender disparities. Moreover, the expression of genes involved in tumor growth and immune response in kidney cancer varies between men and women, having an impact on the gender-related response to oncological therapy, such as anti-angiogenic drugs and immunotherapy. Recent advances have been made in our understanding of the molecular and genetic mechanisms involved in kidney cancer, which could partially explain the gender differences, and they are summarized in this paper. However, other key mechanisms, which fully clarify the striking clinical gender-related differences observed in kidney cancer, are not completely understood at present. We reviewed and summarized the most relevant publications about the relationship between gender and kidney cancer. Efforts should be made to progress in bench and clinical research on gender-related signatures and disparities, and their impact on the clinical management of kidney cancer.
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http://dx.doi.org/10.3390/ijms21093378 | DOI Listing |
Int J Surg
January 2025
Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong, SAR.
Background: Understanding based on up-to-date data on the burden of non-communicable diseases (NCDs) is limited, especially regarding how subtypes contribute to the overall NCD burden and the attributable risk factors across locations and subtypes. We aimed to report the global, regional, and national burden of NCDs, subtypes, and attributable risk factors in 2021, and trends from 1990 to 2021 by age, sex, and socio-demographic index (SDI).
Materials And Methods: We used data from the Global Burden of Disease Study 2021 to estimate the prevalence, deaths, and disability-adjusted life years (DALYs) for NCDs and subtypes, along with attributable risk factors.
Discov Oncol
January 2025
Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China.
Background: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer with a high metastatic rate and high mortality rate. The molecular mechanism of ccRCC development, however, needs further study. Aurora kinase B (AURKB) functions as an important oncogene in various tumors; therefore, in the present study, we aimed to explore the mechanism by which AURKB affects ccRCC development.
View Article and Find Full Text PDFIr J Med Sci
January 2025
Unidad de Investigación Biomédica, Delegación Durango, Instituto Mexicano del Seguro Social, Predio Canoas 100, Col. Los Angeles, Durango, 34077, México.
Background: It has been revealed that the potential utility of the triglycerides and glucose (TyG) index as an effective option for assessing glycemic control; however, evidence in this field is still scarce.
Aims: The goal of this study was to investigate the diagnostic accuracy of the TyG index, as an alternative option, to detect inadequate glycemic control in patients with type 2 diabetes (T2D).
Methods: Men and women between 30 and 60 years of age diagnosed with type 2 diabetes were included in a cross-sectional study.
J Virol
January 2025
Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Unlabelled: APOBEC3 proteins (A3s) play an important role in host innate immunity against viruses and DNA mutations in cancer. A3s-induced mutations in both viral and human DNA genomes vary significantly from non-lethal mutations in viruses to localized hypermutations, such as kataegis in cancer. How A3s are regulated remains largely unknown.
View Article and Find Full Text PDFJ Magn Reson Imaging
January 2025
Department of Radiology, Peking University Third Hospital, Beijing, China.
Background: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.
Purpose: To develop and validate artificial intelligence (AI) models using noncontrast MRI to identify primary sites of spinal metastases, aiming to enhance diagnostic efficiency.
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