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

Conventional and Emerging Diagnostic Approaches for Differentiated Thyroid Carcinoma DOI Creative Commons
Kathelina Kristollari, Abraham Abbey Paul,

Sagi Angel

et al.

Chemosensors, Journal Year: 2024, Volume and Issue: 12(11), P. 229 - 229

Published: Nov. 1, 2024

Differentiated thyroid carcinoma (DTC) is among the most prevalent endocrine cancers. The diagnosis of DTC has witnessed tremendous progress in terms technological advancement and clinical operational guidelines. diagnostics have evolved significantly over centuries, from early examinations to modern molecular testing imaging modalities. management are currently dependent on international histological classification identification specific genetic abnormalities tumor tissue, as well prognostic implications that can inform treatment decisions. This study goes down memory lanes various diagnostic methods for DTCs, highlighting recent advancements point-of-care (POC) technology. Beginning with conventional like fine needle aspiration biopsy (FNAB), cytology (FNAC), ultrasound (US) moving contemporary innovative approaches such POC-thyroglobulin (POC-Tg) liquid biopsy, this review showcases current trends diagnostics. Although considerable been achieved malignancy detection, patient stratification, prognosis, personalized treatment, there a need refine mainstay procedures. Finally, future perspectives were provided, emerging roles artificial intelligence explored.

Language: Английский

Citations

2
Imaging and Therapy of Tumors Based on Neutrophil Extracellular Traps DOI Creative Commons
Yongwei Hao,

Dalin Liu,

Kaiyuan Wang

et al.

Small Science, Journal Year: 2024, Volume and Issue: unknown

Published: June 21, 2024

Neutrophil extracellular traps (NETs) formed by neutrophils are netlike scaffolds that mainly contain DNA and a variety of granule proteins. Many stimuli can lead to the NET formation through independent molecular pathways. Clinically, abundance NETs is correlated with poor tumor prognosis. The biological actions complex diverse, including promoting progression, awakening dormant cancer cells, resulting in immunosuppression support growth metastasis. Therefore, NET‐associated pathological processes provide an important clue for both diagnostic imaging alternative therapies many kinds cancers. In recent years, scientists’ efforts have focused on developing novel probes visualize therapeutic strategies degrading or inhibiting its block their pro‐tumoral functions. this review, development evaluation NETs‐targeted intervention progress therapy on.

Language: Английский

Citations

1
Artificial intelligence in cytopathological applications for cancer: a review of accuracy and analytic validity DOI Creative Commons

P. Hays

European journal of medical research, Journal Year: 2024, Volume and Issue: 29(1)

Published: Nov. 19, 2024

Cytopathological examination serves as a tool for diagnosing solid tumors and hematologic malignancies. Artificial intelligence (AI)-assisted methods have been widely discussed in the literature increasing sensitivity, specificity accuracy diagnosis of cytopathological clinical samples. Many these tools are also used practice. There is growing body describing role AI settings, particularly improving diagnostic providing predictive prognostic insights. A comprehensive search this systematic review was conducted using databases Google, PUBMED (n = 450) Google Scholar 1067) with keywords "Artificial Intelligence" AND "cytopathological" "fine needle aspiration" "Deep Learning" "Machine "Hematologic Disorders" "Lung Cancer" "Pap Smear" "cervical cancer screening" "Thyroid "Breast "Sensitivity" "Specificity". The focused on reviews published English language between 2020 2024. PRISMA guidelines were adhered to studies included excluded depicted flowchart. 417 results screened 34 chosen review. In screening patients cervical cancer, bone marrow peripheral blood smears benign malignant lesions lung, AI-assisted methods, machine learning deep (a subset learning) applied data. These yielded greater accuracy, sensitivity decreased interobserver variability. Data sets collected both training validation. Human combined performance found be comparable standalone comparison medical well. use analysis samples research settings increasing, involvement pathologists workflows becoming increasingly important.

Language: Английский

Citations

1
Dishevelled Segment Polarity Protein 3: A Novel Prognosis-related Marker in Pan-driver-gene-negative Lung Adenocarcinoma DOI Creative Commons
Yongmei Cui,

Cuilan Tang,

Jinrui Guo

et al.

Journal of Cancer, Journal Year: 2023, Volume and Issue: 14(16), P. 3028 - 3038

Published: Jan. 1, 2023

Purpose: In this study, we aimed to investigate the potential prognostic molecular marker in patients with "pan-driver-gene-negative" lung adenocarcinoma (PDGN-LUAD). LUAD who were negative for mutations EGFR, KRAS, BRAF, HER2, MET, ALK, RET and ROS1 identified as PDGN-LUAD. Methods: screening phase, profiled mRNA expression levels 52 paired PDGN-LUAD tumor tissues adjacent normal using a genome-wide microarray, results revealed that level of dishevelled segment polarity protein 3 (DVL3) was higher than tissues. Then, enrolled 626 from three independent hospital centers divided them into training cohort, an internal validation cohort two external cohorts. tissue microarrays (TMAs) used confirm DVL3. Statistical methods applied explore role Results: The indicated DVL3 could be classify high-risk group (high DVL3) low-risk (low DVL3). had shorter overall survival (OS) times (hazard ratio [HR] 2.27; 95% CI, 1.57-2.97; p<0.001) patients. performance successfully validated Conclusions: conclusion, is important indicator may provide new insights treatment

Language: Английский

Citations

3
Editorial: Smart nanomaterials for biosensing and therapy applications, volume II DOI Creative Commons
Jing Liao, Miaomiao Yuan,

Ziqiang Xu

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2024, Volume and Issue: 12

Published: April 19, 2024

EDITORIAL article Front. Bioeng. Biotechnol., 19 April 2024Sec. Nanobiotechnology Volume 12 - 2024 | https://doi.org/10.3389/fbioe.2024.1387969

Language: Английский

Citations

0
Pancreatectomy with Celiac Axis Resection and Reconstruction for Locally Advanced Pancreatic Cancer DOI Open Access
Satoshi Mizutani,

Nobuhiko Taniai,

Makoto Sukegawa

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(23), P. 4115 - 4115

Published: Dec. 8, 2024

With the advent of effective chemotherapy, conversion surgery (CS) has been performed in patients who have responded to pretreatment, even for pancreatic cancer diagnosed as unresectable (UR) at time initial diagnosis. In CS, major arterial resection and reconstruction are necessary complete radical resection.

Language: Английский

Citations

0
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

Citations

0