98%
921
2 minutes
20
Artificial intelligence (AI) platforms, such as Generative Pretrained Transformer (ChatGPT), have achieved a high degree of popularity within the scientific community due to their utility in providing evidence-based reviews of the literature. However, the accuracy and reliability of the information output and the ability to provide critical analysis of the literature, especially with respect to highly controversial issues, has generally not been evaluated. In this work, we arranged a question/answer session with ChatGPT regarding several unresolved questions in the field of cancer research relating to therapy-induced senescence (TIS), including the topics of senescence reversibility, its connection to tumor dormancy, and the pharmacology of the newly emerging drug class of senolytics. ChatGPT generally provided responses consistent with the available literature, although occasionally overlooking essential components of the current understanding of the role of TIS in cancer biology and treatment. Although ChatGPT, and similar AI platforms, have utility in providing an accurate evidence-based review of the literature, their outputs should still be considered carefully, especially with respect to unresolved issues in tumor biology. SIGNIFICANCE STATEMENT: Artificial Intelligence platforms have provided great utility for researchers to investigate biomedical literature in a prompt manner. However, several issues arise when it comes to certain unresolved biological questions, especially in the cancer field. This work provided a discussion with ChatGPT regarding some of the yet-to-be-fully-elucidated conundrums of the role of therapy-induced senescence in cancer treatment and highlights the strengths and weaknesses in utilizing such platforms for analyzing the scientific literature on this topic.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11026153 | PMC |
http://dx.doi.org/10.1124/molpharm.124.000871 | DOI Listing |
Cien Saude Colet
August 2025
Departamento de Ciências Farmacêuticas, Universidade Federal de São Paulo. São Paulo SP Brasil.
The scope of this study was to conduct an analysis on the effect of the Age-Period-Cohort (APC) on ovarian cancer mortality in the South and Northeast regions of Brazil. The APC models were estimated by Poisson regression through estimable functions in women aged 30 and over residing in the states of the South and Northeast regions. Upon estimating the APC models, a positive gradient was found in mortality rates with advancing age in all locations The South region showed a reduction in the risk of death in the last two periods (RR2010-2014 0.
View Article and Find Full Text PDFSci Transl Med
September 2025
Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai 200032, P. R. China.
Triple-negative breast cancers (TNBCs) lack predictive biomarkers to guide immunotherapy, especially during early-stage disease. To address this issue, we used single-cell RNA sequencing, bulk transcriptomics, and pathology assays on samples from 171 patients with early-stage TNBC receiving chemotherapy with or without immunotherapy. Our investigation identified an enriched subset of interferon (IFN)-induced CD8 T cells in early TNBC samples, which predict immunotherapy nonresponsiveness.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
Objective: To evaluate the burden and trends of digestive system cancers in adolescents and young adults (AYAs) globally between 1990 and 2021.
Methods: Data were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study (1990-2021). We analyzed global, regional, and national disease burdens by calculating the age-standardized incidence (ASIR), mortality (ASMR), and disability-adjusted life years (DALYs) for AYAs.
Int J Surg
September 2025
Department of Gynecology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Background: Ovarian cancer remains the most lethal gynecological cancer, with fewer than 50% of patients surviving more than five years after diagnosis. This study aimed to analyze the global epidemiological trends of ovarian cancer from 1990 to 2021 and also project its prevalence to 2050, providing insights into these evolving patterns and helping health policymakers use healthcare resources more effectively.
Methods: This study comprehensively analyzes the original data related to ovarian cancer from the GBD 2021 database, employing a variety of methods including descriptive analysis, correlation analysis, age-period-cohort (APC) analysis, decomposition analysis, predictive analysis, frontier analysis, and health inequality analysis.
Mol Biol Rep
September 2025
Phytoveda Pvt. Ltd, Mumbai, 400022, India.
Background: The dysregulation of long-chain noncoding RNAs (lncRNAs) causes several complex human diseases including neurodegenerative disorders across the globe.
Methods And Results: This study aimed to investigate lncRNA expression profiles of Withania somnifera (WS)-treated human neuroblastoma SK-N-SH cells at different timepoints (3 & 9 h) and concentrations (50 & 100 µg/mL) using RNA sequencing. Differential gene expression analysis showed a total of 4772 differentially expressed lncRNAs, out of which 3971 were upregulated and 801 were downregulated compared to controls.