Potential drug targets for prostate cancer ： A mendelian randomization study and application for target-derived drug design DOI Creative Commons
Long Cheng, Shu Gan,

Peijian Huang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Abstract Background The advent of targeted cancer therapies has led to a decline in prostate (PCa) incidence and mortality rates. Nevertheless, challenges persist due the long-term single-agent therapeutic insensitivity resistance encountered PCa treatment. Therefore, there is an urgent need for novel drug targets address these therapy. Method We analyzed 731 plasma proteins summary GWAS data from Prostate Cancer Association Group investigate associated genomic alterations (control: case = 61 106: 79 148). Cis-acting Mendelian randomization Bayesian analysis was applied reveal causality between protein PCa. Additionally, protein-protein interaction (PPI) performed discover potential coactions identified target established approved by FDA treatment Furthermore, we utilized Alpha Fold 2 predict 3D complex structure targets. Finally, findings were validated using UK Biobank European Bioinfomatics Institute, six promising categorized into three tiers. Results Six causal including MSMB, IGF2R, KDELC2, TNFRSF10B, GSTP1, SPINT2 discovered through analysis. Among them, MSMB (Odds ratio (OR) 0.81; 95% confidence interval (CI) : 0.80–0.82; P 2.52×10− 148), IGF2R (OR 0.92; CI: 0.90–0.94; 4.57×10− 10), KDELC2 0.89; 0.86–0.93; 1.89×10− 8), TNFRSF10B 0.74; 0.65–0.83; 2.41×10− 7), GSTP1 0.82; 0.75–0.90; 4.22×10− 5) inversely with risk, upregulate level 1.05; 1.03–1.05; 1.49×10− 6) increased risk. None had reverse causality. shared same variant co-localization (PPH4 > 0.8). During external validation, five replicated at least one dataset except IGF2R. Conclusions Our study highlighted that constellation have been as PCa, which might provide valuable insights rational design drugs

Language: Английский

Patient‐derived xenograft model in cancer: establishment and applications DOI Creative Commons

Ao Gu,

Jiatong Li, Mengyao Li

et al.

MedComm, Journal Year: 2025, Volume and Issue: 6(2)

Published: Jan. 19, 2025

Abstract The patient‐derived xenograft (PDX) model is a crucial in vivo extensively employed cancer research that has been shown to maintain the genomic characteristics and pathological structure of patients across various subtypes, metastatic, diverse treatment histories. Various strategies utilized PDX models can offer valuable insights into mechanisms tumor progression, drug resistance, development novel therapies. This review provides comprehensive overview establishment applications models. We present an history current status models, elucidate construction methodologies for different tumors, conduct comparative analysis highlight distinct advantages limitations this relation other are elucidated domain comprehending underlying therapy, which highlights broad fields chemotherapy, targeted delivery systems, combination antibody–drug conjugates radiotherapy. Furthermore, with multiomics single‐cell analyses also emphasized. application clinical personalized medicine additionally

Language: Английский

Citations

5
Image Analysis in Histopathology and Cytopathology: From Early Days to Current Perspectives DOI Creative Commons
Tibor Mezei, Melinda Kolcsár,

András Joó

et al.

Journal of Imaging, Journal Year: 2024, Volume and Issue: 10(10), P. 252 - 252

Published: Oct. 14, 2024

Both pathology and cytopathology still rely on recognizing microscopical morphologic features, image analysis plays a crucial role, enabling the identification, categorization, characterization of different tissue types, cell populations, disease states within microscopic images. Historically, manual methods have been primary approach, relying expert knowledge experience pathologists to interpret samples. Early were often constrained by computational power complexity biological The advent computers digital imaging technologies challenged exclusivity human eye vision brain skills, transforming diagnostic process in these fields. increasing digitization pathological images has led application more objective efficient computer-aided techniques. Significant advancements brought about integration pathology, machine learning, advanced technologies. continuous progress learning availability data offer exciting opportunities for future. Furthermore, artificial intelligence revolutionized this field, predictive models that assist decision making. future is predicted be marked analysis. promising, will invariably lead enhanced accuracy improved prognostic predictions shape personalized treatment strategies, ultimately leading better patient outcomes.

Language: Английский

Citations

9
Artificial intelligence‐driven change redefining radiology through interdisciplinary innovation DOI Creative Commons
Runqiu Huang, Xiaolin Meng, Xiaoxuan Zhang

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Abstract Artificial intelligence (AI) is rapidly advancing, yet its applications in radiology remain relatively nascent. From a spatiotemporal perspective, this review examines the forces driving AI development and integration with medicine radiology, particular focus on advancements addressing major diseases that significantly threaten human health. Temporally, advent of foundational model architectures, combined underlying drivers development, accelerating progress interventions their practical applications. Spatially, discussion explores potential evolving methodologies to strengthen interdisciplinary within medicine, emphasizing four critical points imaging process, as well application disease management, including emergence commercial products. Additionally, current utilization deep learning reviewed, future through multimodal foundation models Generative Pre‐trained Transformer are anticipated.

Language: Английский

Citations

1
Third-generation sequencing for genetic disease DOI

Xiaoting Ling,

Chenghan Wang,

Linlin Li

et al.

Clinica Chimica Acta, Journal Year: 2023, Volume and Issue: 551, P. 117624 - 117624

Published: Nov. 1, 2023

Language: Английский

Citations

12
Nano-optogenetics for Disease Therapies DOI
Qi Liang Lu,

Yaru Sun,

Zhengbing Liang

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(22), P. 14123 - 14144

Published: May 20, 2024

Optogenetic, known as the method of 21 centuries, combines optic and genetic engineering to precisely control photosensitive proteins for manipulation a broad range cellular functions, such flux ions, protein oligomerization dissociation, intercommunication, so on. In this technique, light is conventionally delivered targeted cells through optical fibers or micro light-emitting diodes, always suffering from high invasiveness, wide-field illumination facula, strong absorption, scattering by nontargeted endogenous substance. Light-transducing nanomaterials with advantages spatiotemporal resolution, abundant wireless-excitation manners, easy functionalization recognition specific cells, recently have been widely explored in field optogenetics; however, there remain few challenges restrain its clinical applications. This review summarized recent progress on light-responsive genetically encoded myriad activation strategies use light-transducing their disease-treatment applications, which expected sparking helpful thought push forward preclinical translational uses.

Language: Английский

Citations

4
Research progress of DNA methylation in the screening of cervical cancer and precancerous lesions DOI Creative Commons

Yunge Wang,

Xueping Ma,

Tao Zhang

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 12, 2025

Abstract Cervical cancer is one of the most common malignant tumors that seriously threaten women's health. Persistent infection with high risk human papillomavirus (HPV) closely related to progression cervical cancer. screening an effective measure reduce incidence and mortality The two strategies are cytology HPV testing, but they easily lead missed diagnosis or overdiagnosis. To overcome such limitations, a new triage method needs be explored. World Health Organization second edition guideline includes DNA methylation testing as evaluated. epigenetic modification considered occurrence development tumors. In recent years, many methylated genes have been found biomarkers for precancerous lesions diagnosis. this paper, we focus on role application host methylation, well combined in lesions.

Language: Английский

Citations

0
Exploring anti-tumor potential of food and medicine homology substances: An in-silico evaluation of Citri Grandis Exocarpium against gallbladder cancer DOI

Jia-Tong Li,

Ao Gu,

Nannan Tang

et al.

Food & medicine homology., Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Application of Oriented Molecular Imprinting Biosensors in Biomarker Detection DOI

Tianjian Lv,

Tiantong Chen,

Ziyu Zhu

et al.

Journal of Analysis and Testing, Journal Year: 2024, Volume and Issue: unknown

Published: June 7, 2024

Language: Английский

Citations

3
Transcriptomic signature of cancer cachexia by integration of machine learning, literature mining and meta-analysis DOI Creative Commons
Kening Zhao, Esmaeil Ebrahimie, Manijeh Mohammadi‐Dehcheshmeh

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 172, P. 108233 - 108233

Published: Feb. 28, 2024

Cancer cachexia is a severe metabolic syndrome marked by skeletal muscle atrophy. A successful clinical intervention for cancer currently lacking. The study of mechanisms largely based on preclinical animal models and the availability high-throughput transcriptomic datasets cachectic mouse muscles increasing through extensive use next generation sequencing technologies. Cachectic ten different studies were combined mined seven attribute weighting models, which analysed both categorical variables numerical variables. signature was identified algorithms used to evaluate performance eleven pattern discovery models. employed find best combination drugs (drug repurposing) developing treatment strategies, as well literature mining. Attribute ranked 26 genes from mice with cachexia. Deep Learning Random Forest performed better in differentiating cases data. Literature mining revealed that melatonin infliximab has negative interactions 2 key (Rorc Fbxo32) upregulated muscle. integration machine learning, meta-analysis found be an efficient approach identifying robust cachexia, implications improving diagnosis management this condition.

Language: Английский

Citations

2
CypA/TAF15/STAT5A/miR-514a-3p feedback loop drives ovarian cancer metastasis DOI
Ying Li, Huiwen Yang, An Li

et al.

Oncogene, Journal Year: 2024, Volume and Issue: 43(49), P. 3570 - 3585

Published: Oct. 14, 2024

Language: Английский

Citations

2