Background: Tirzepatide has recently been approved for the treatment of type 2 diabetes mellitus (T2DM), based on its impressive effects on glycemia and body weight reduction. We investigated whether tirzepatide affects the risk for cancer in T2DM.
Methods: We conducted a meta-analysis of available, up to 1st April 2024, phase 2/3 randomized controlled trials (RCTs) evaluating the use of tirzepatide in T2DM. We set as primary safety endpoint the risk for any type of cancer, while we assessed as secondary endpoints specific cancer types. Subgroup analyses according to the type of comparator were also performed.
Results: We included a total of 9 RCTs with a relatively short study duration, ranging from 36 to 72 weeks. Our preliminary evidence suggests that tirzepatide does not increase the risk for any cancer (primary outcome) or any of the specific cancer types (secondary outcomes). Of course, small number of enrolled participants, short study duration and follow-up, along with scarcity of reported events are considered to be main limitations of the present analysis.
Conclusions: Preliminary evidence from our analysis suggests that tirzepatide may not affect the risk ofcancer among individuals with T2DM. However, our results should be interpreted with extra caution, based on the several limitations of our "hypothesis-generating" analysis Future, well-designed studies are warranted to answer this important research question.
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http://dx.doi.org/10.1016/j.diabres.2024.111758 | DOI Listing |
Aim: Many combinations of inflammation-based markers have been reported their prognostic ability. The prognostic value of albumin-to-gama-glutamyltransferase ratio (AGR), an inflammation-related index, has been identified for several cancers. However, the predictive value of AGR for high-grade glioma patients remains unclear.
View Article and Find Full Text PDFBJU Int
January 2025
Faculty of Social Sciences (Health Sciences), Prostate Cancer Research Center, Tampere University, Tampere, Finland.
Objective: To assess the association between prostate-specific antigen (PSA) density (PSAD) and prostate cancer mortality after a benign result on systematic transrectal ultrasonography (TRUS)-guided prostate biopsy.
Patients And Methods: This retrospective study used data from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC) collected between 1996 and 2020. We identified men aged 55-71 years randomised to the screening arm with PSA ≥4.
Thorac Cancer
January 2025
Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Tracheal, bronchial, and lung cancers (TBL cancers) pose a significant global health challenge, with rising incidence and mortality rates, particularly in China. Studies from the Global Burden of Disease (GBD), 2021, can guide screening and prevention strategies for TBL cancer. This study aims to provide a comprehensive analysis of the burden of TBL cancers in China compared to global data.
View Article and Find Full Text PDFAngiology
January 2025
Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, TX, USA.
Breast cancer is the most common malignancy among women. While advances in detection and treatment have improved survival, breast cancer survivors face an increased risk of cardiovascular disease. However, limited data exist on cardiac outcomes after ST-elevation myocardial infarction (STEMI) in this population.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, P. R. China.
Patients with ulcerative colitis (UC) have a higher risk of developing colorectal cancer (CRC), however, the metabolic shifts during the UC-to-CRC transition remain elusive. In this study, an AOM-DSS-induced three-stage colitis-associated colorectal cancer (CAC) model is constructed and targeted metabolomics analysis and pathway enrichment are performed, uncovering the metabolic changes in this transition. Spatial metabolic trajectories in the "normal-to-normal adjacent tissue (NAT)-to-tumor" transition, and temporal metabolic trajectories in the "colitis-to-dysplasia-to-carcinoma" transition are identified through K-means clustering of 74 spatially and 77 temporally differential metabolites, respectively.
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