Gyomor- és nyelőcsőrák: ki dolgozik rajta

Intézményenként egy kártya. Válassz célpontot, és csak az azon dolgozó csoportok maradnak.

• Minden célpont
• HER2 84
• PD-1 108
• PD-L1 49
• CLDN18 35
• TP53 1
• PI3K 1
• AKT 1
• STAT3 1
• mTOR 0
• CTNNB1 0
• VEGF 7
• YAP 0
• MAPK 0
• EGFR 10
• ERK 0
• FGFR 1
• JAK 0
• HIF-1 0
• MYC 0
• PTEN 3
• CTLA-4 8
• NRF2 0
• MET 5
• STING 0
• CXCR4 0
• B7-H3 6
• JNK 0
• AMPK 0
• GPX4 0
• TROP2 6
• IL-6 0
• METTL3 0
• COX-2 0
• KRAS 2
• ARID1A 1
• BRCA1 2
• FAK 0
• LAG-3 0
• MDM2 0
• MMP-9 0
• PARP 0
• PPAR 0
• TIGIT 1
• BRCA2 1
• HSP90 0
• BCL-2 0
• FTO 0
• SHP2 0
• BRAF 0
• CD47 1
• CDK4/6 0
• HDAC 0
• HER3 3
• HMGB1 1
• MEK 0
• PDGFR 2
• TIM-3 0
• TNF 0
• ATM 0
• AXL 2

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-RIA

  IMproving the outcome of Peritoneal and Pleural metastases using Aerosolized ChemoTherapy (IMPACT)

  Universiteit Gent· Gent, Belgium· EU contribution 10 031 371 EUR· until 2032. jún.· 7 countries

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

• European Commission (Horizon Europe) · HORIZON-TMA-MSCA-PF-EF

  Spatial profiling of gastric cancer with peritoneal carcinomatosis to tackle cancer spreading and improve precision immuno-oncology (SPARC)

  Karolinska Institutet· Stockholm, Svédország· EU contribution 236 340 EUR· until 2028. ápr.· 2 countries

• European Commission (Horizon Europe) · HORIZON-ERC

  Dissecting chromosomal instability in gastric cancer and its role in immunoediting using advanced functional and multiplexed single cell sequencing technologies (CINbyFUNseq)

  Erasmus Universitair Medisch Centrum Rotterdam· Rotterdam, Hollandia· EU contribution 2 000 000 EUR· until 2030. márc.

• European Commission (Horizon Europe) · HORIZON-EIC

  Hybrid endoscope for esophageal in vivo histology and histochemistry (ESOHISTO)

  Medizinische Universitaet Wien· Wien, Ausztria· EU contribution 3 643 628 EUR· until 2029. jan.· 5 countries

• European Commission (Horizon Europe) · HORIZON-ERC

  In vivo Immunofluorescence-Optical Coherence Tomography (Immuno-OCT)

  Stichting Vu· Amsterdam, Hollandia· EU contribution 2 500 000 EUR· until 2029. dec.

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

5 of 10 running projects, newest first. Listed amounts together: 38,7 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.

Ebben a nézetben egy vizsgálat sem jelzi, hogy megosztaná a résztvevői adatokat.

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

• Single-Cell Analysis 71
• Organoids 34
• Mendelian Randomization Analysis 42
• CRISPR-Cas Systems 9
• Gene Expression Profiling 198
• Sequence Analysis, RNA 9
• Whole Genome Sequencing 8
• Exome Sequencing 14
• Proteomics 55
• Metabolomics 42
• Mass Spectrometry 5
• Flow Cytometry 33
• Immunohistochemistry 151
• Liquid Biopsy 18
• Circulating Tumor DNA 25
• Xenograft Model Antitumor Assays 288
• Positron-Emission Tomography 22
• Magnetic Resonance Imaging 24
• Machine Learning 133
• Deep Learning 65
• Cohort Studies 175
• Genome-Wide Association Study 48

• Integrated Assessment of Sarcopenia in Patients with Gastric Cancer Using Deep Learning and Radiomics.

  J Cachexia Sarcopenia Muscle, 2026. okt.

• Artificial Intelligence in Gastric Cancer: Diagnostic, Prognostic, and Predictive Developments, Evidence Maturity, and Translational Challenges.

  Cancer Rep (Hoboken), 2026. okt.

• Cross-phase attention-based multi-phase CT deep learning for preoperative risk stratification of gastric gastrointestinal stromal tumors in a multicenter study.

  Eur J Radiol, 2026. szept.

• Early diagnosis and molecular classification of gastric cancer peritoneal metastasis by deep learning-driven single-cell lipidomics.

  Cell Rep Med, 2026. szept.

• Deep learning-based radiomics and pathomics for decoding tumor microenvironment and predicting immunotherapy outcomes in gastric cancer.

  Front Immunol, 2026. szept.

• Computational screening of oncogenic genetic variations in tumor suppressor proteins driving gastric cancer pathogenesis.

  PLoS One, 2026. szept.

• Explainable Deep Learning of Transcriptomes Prioritizes Candidate Biomarkers With Preferential Performance in Gastric Cardia Cancer Cohorts.

  FASEB J, 2026. szept.

• Gastric mucosa intestinal metaplasia segmentation and grading via transformer-CNN fusion architecture: an interpretable digital pathology diagnostic framework.

  Med Biol Eng Comput, 2026. szept.

• Prediction of Lymph Node Metastasis in Early Gastric Cancer Using Foundation Model Ensembles and Patch-Based Histopathological Interpretation.

  Lab Invest, 2026. aug.

• Deep learning-empowered Raman spectroscopy for gastric cancer diagnosis: a review of data pipelines and algorithms.

  Analyst, 2026. aug.

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