Méhnyakrák: ki dolgozik rajta

Intézményenként egy kártya. Célpontra vagy országra szűkítheted a listát.

• Minden célpont
• TP53 2
• PD-1 19
• PD-L1 12
• PI3K 3
• AKT 1
• CTLA-4 7
• HER2 9
• CTNNB1 0
• mTOR 0
• STAT3 0
• VEGF 3
• EGFR 2
• MYC 0
• MAPK 0
• PTEN 2
• NRF2 1
• PIK3CA 3
• ERK 0
• PARP 0
• AMPK 0
• JAK 0
• TROP2 4
• YAP 0
• BRCA1 2
• GPX4 0
• HIF-1 0
• IL-6 0
• TNF 0
• FOXP3 0
• KRAS 0
• B7-H3 3
• BCL-2 0
• BRCA2 2
• HER3 1
• JNK 0
• MMP-9 0
• STING 0
• STK11 0
• AXL 0
• CD47 0
• COX-2 0
• EZH2 0
• FAK 1
• HDAC 0
• HMGB1 0
• PPAR 0
• PRAME 0
• ATM 0
• CD40 0
• CXCR4 0
• IDH 1
• LAG-3 0
• METTL3 0
• NF1 0
• NOTCH1 0
• PKM2 0
• PRMT5 0
• SHP2 0
• SIRT1 0
• ALK 0

7+ intézményből 7, a friss publikációk és a nyitott vizsgálatok szerint rendezve. Ez nem minőségi rangsor.

Funded research projects that name this disease in their title, terms or summary and have not ended yet: who is funded, where, how much and until when. Organisations only; the funder's page has the details.

• European Commission (Horizon Europe) · HORIZON-ERC

  Cervical Cancers Escaping HPV Screening: Decoding HPV-Independent Carcinogenesis through Multi-Omics Profiling (ESCAPE-HPV)

  Karolinska Institutet· Stockholm, Svédország· EU contribution 1 493 450 EUR· until 2031. dec.

• European Commission (Horizon Europe) · HORIZON-RIA

  Offering combined HPV vaccination and HPV test-based cervical screening to vulnerable populations. A hybrid efficacy and implementation study. (HPV-FASTER-Implement)

  Institut National de la Sante Et de la Recherche Medicale· Paris, Franciaország· EU contribution 6 602 445 EUR· until 2029. dec.· 8 countries

• European Commission (Horizon Europe) · HORIZON-JU-RIA

  Understanding vaccination hesitancy and evaluating single dose and gender-neutral vaccination for improving uptake of HPV vaccines in West and East Africa. (IMPROVE-HPV)

  Institut Catala D'oncologia· Hospitalet de Llobregat, Spanyolország· EU contribution 3 613 288 EUR· until 2028. máj.· 4 countries

  The disease is named only in the funder's project summary, not in the title.

• European Commission (Horizon Europe) · HORIZON-ERC

  Engineering B cells to fight cancer (EngineerBcells)

  Tel Aviv University· Tel Aviv, Izrael· EU contribution 1 996 250 EUR· until 2027. szept.

  The disease is named only in the funder's project summary, not in the title.

• European Commission (Horizon Europe) · HORIZON-RIA

  Dual screening by Spectral Artificial Visual Examination (SAVE) for Female Genital Schistosomiasis (FGS) and cervical cancer. Digital, new, low-cost, and simple screening and training. (DUALSAVE-FGS)

  Oslo Universitetssykehus Hf· Oslo, Norvégia· EU contribution 7 984 441 EUR· until 2027. aug.· 6 countries

5 of 6 running projects, newest first. Listed amounts together: 23,2 M EUR.

Sources: NIH RePORTER (U.S. National Institutes of Health, public domain) and CORDIS (European Commission, CC BY 4.0). Changes: filtered by disease, organisations matched to ROR.

Vizsgálatok, amelyek regiszteradata szerint az egyéni résztvevői adatokat (IPD) megosztják.

• Clinical Trial of YH32364 in Patients With Locally Advanced or Metastatic EGFR Overexpressing Solid Tumors

  NCT06975410· Yuhan Corporation· Forrás

Publikációk erről a betegségről egy MeSH-módszerkifejezés szerint, például szekvenálási vagy képalkotó módszerre.

• Single-Cell Analysis 28
• Organoids 10
• Mendelian Randomization Analysis 13
• CRISPR-Cas Systems 21
• Gene Expression Profiling 70
• Sequence Analysis, RNA 5
• Whole Genome Sequencing 1
• Exome Sequencing 3
• Proteomics 18
• Metabolomics 9
• Mass Spectrometry 4
• Flow Cytometry 25
• Immunohistochemistry 46
• Liquid Biopsy 8
• Circulating Tumor DNA 6
• Xenograft Model Antitumor Assays 66
• Positron-Emission Tomography 14
• Magnetic Resonance Imaging 92
• Machine Learning 63
• Deep Learning 50
• Cohort Studies 82
• Genome-Wide Association Study 14

• Attentive interpretable tabular learning (TabNet) for miRNA expression classification in cervical cancer and Alzheimer's disease.

  BMC Bioinformatics, 2026. okt.

• A hybrid deep learning framework for automated treatment planning in cervical cancer radiotherapy.

  J Appl Clin Med Phys, 2026. okt.

• MCOD: a memory-constrained deep learning framework for robust outlier detection in quantitative proteomics.

  Brief Bioinform, 2026. szept.

• Diagnostic performance of artificial intelligence models trained on scattered single-cell images is not preserved for hyperchromatic crowded cell groups in cervical cytology.

  Cancer Cytopathol, 2026. szept.

• A Multimodal Graph Neural Network Based on MRI Radi-omics for Prognostic Prediction in Locally Advanced Cervical Squamous Cell Carcinoma.

  Cancer Control, 2026. aug.

• A novel deep learning segmentation and multimodal radiomics approach for radiation proctitis prediction in cervical cancer.

  Radiat Oncol, 2026. aug.

• From synthesis to clinic: a task-specific framework for CT images metal artifact reduction in cervical brachytherapy.

  Radiat Oncol, 2026. aug.

• Enhanced Diagnosis of Cervical Cancer Using Archer Fish Hunting Optimizer-Optimized Xception Network with AI Interpretability via Grad-CAM.

  Asian Pac J Cancer Prev, 2026. aug.

• A prospective development and evaluation of a 2D convolutional neural network-based auto-segmentation model for cervical cancer radiotherapy.

  J Egypt Natl Canc Inst, 2026. júl.

• Deep learning reconstruction-applied PROPELLER diffusion-weighted imaging in uterine malignancies: a comparison study with MUSE.

  Jpn J Radiol, 2026. júl.

Megmutatjuk, a betegség mely célpontjait említi az absztrakt, és onnan a rajtuk dolgozókhoz jutsz.