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Cervical cancer remains the most prevalent malignancy of the female reproductive system; however, the five-year survival rate has not improved substantially over recent decades. This persistent challenge highlights the critical need to elucidate mechanisms underlying treatment sensitivity and investigate synergistic effects of multimodal therapies to overcome clinical therapeutic bottlenecks. By conducting a comprehensive analysis of The Cancer Genome Atlas (TCGA) database, this study identified a hub gene network associated with radiotherapy sensitivity in cervical cancer. In addition to developing a personalized treatment prediction model, we preliminarily characterized these hub genes through several key dimensions: molecular regulatory, biological functions, tumor microenvironment infiltration patterns, and immune relevance. Notably, this work is the first to reveal that hub genes such as DDX58 probably orchestrate a tripartite regulatory mechanism-mediated by immune microenvironment factors-that concurrently influences sensitivity to radiotherapy, chemotherapy, and immunotherapy. Through a series of analyses, we speculate that these hub genes can serve not only as combined biomarkers for predicting responses to multiple therapies but also as novel molecular targets for the development of synergistic treatment strategies via their mediated immune microenvironment interactions. These findings provide a new translational research direction for overcoming therapeutic resistance in cervical cancer.
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http://dx.doi.org/10.1007/s43032-025-01909-4 | DOI Listing |
Kidney Blood Press Res
September 2025
Objective: Cisplatin-induced acute kidney injury (Cis-AKI) is a significant cause of renal damage, characterized by tubular injury, ferroptosis, and oxidative stress. While therapeutic options for Cis-AKI remain limited, identifying novel targets to prevent kidney injury is critical. This study focuses on GALNT14, a gene associated with ferroptosis, and its potential role in mitigating Cis-AKI.
View Article and Find Full Text PDFGenome Biol
September 2025
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Background: Soil salinization represents a critical global challenge to agricultural productivity, profoundly impacting crop yields and threatening food security. Plant salt-responsive is complex and dynamic, making it challenging to fully elucidate salt tolerance mechanism and leading to gaps in our understanding of how plants adapt to and mitigate salt stress.
Results: Here, we conduct high-resolution time-series transcriptomic and metabolomic profiling of the extremely salt-tolerant maize inbred line, HLZY, and the salt-sensitive elite line, JI853.
Eur J Gastroenterol Hepatol
September 2025
Department of Gastroenterology, First Affiliated Hospital of Shantou University Medical College, Shantou.
Background: Crohn's disease (CD) and rheumatoid arthritis (RA) are autoimmune diseases. CD is known to be closely associated with RA. However, the mechanisms underlying these relationships remain unclear.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Biology, Duke University, Durham, NC 27708.
Organisms use circadian clocks to synchronize physiological processes to anticipate the Earth's day-night cycles and regulate responses to environmental signals to gain competitive advantage. While divergent genetic clocks have been studied extensively in bacteria, fungi, plants, and animals, an ancient conserved circadian redox rhythm has been recently reported. However, its biological function and physiological outputs remain elusive.
View Article and Find Full Text PDFPsychopharmacology (Berl)
September 2025
Institute of Cardiovascular Research, Sleep Medical Center, Department of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.
Rationale: Genome-wide association studies (GWASs) are used to identify genetic variants for association with schizophrenia (SCZ) risk; however, each GWAS can only reveal a small fraction of this association.
Objectives: This study systematically analyzed multiple GWAS data sets to identify gene subnetwork and pathways associated with SCZ.
Methods: We identified gene subnetwork using dmGWAS program by combining SCZ GWASs and a human interaction network, performed gene-set analysis to test the association of gene subnetwork with clinical symptom scores and disease state, meanwhile, conducted spatiotemporal and tissue-specific expression patterns and cell-type-specific analysis of genes in the subnetwork.