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GenomicsGenome-Wide Association Studies in Upper Gastrointestinal Cancers (Asian)

This project aims to conduct genome-wide association studies (GWAS) in two anatomically different upper gastrointestinal (UGI) cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cel...

phs000361.v1.p1 | EGA
ProteomicsIntegrated Proteogenomic Characterization of Localized Prostate Cancer Identifies Biological Insights and Subtype-Specific Therapeutic Strategies
We profiled the genome, transcriptome, proteome and phosphoproteome of 145 cases of localized prostate cancer (PCa) in Chinese patients and revealed three subtypes with distinct molecular features. We integrated multi-omic data to refine molecular subtyping of localized PCa, and identified NANS as a...
ORGANISM(S): Homo Sapiens 
2024-10-23 | PXD056748 |
ProteomicsProteomics of prostate cancer orthotopic transplanted mice
We profiled the proteomics of prostate cancer orthotopic transplanted mice.
ORGANISM(S): Mus Musculus 
2025-01-21 | PXD058636 |
ProteomicsProteomics of prostate cancer cell lines
We profiled the proteomics of prostate cancer (PCa) cell lines.
ORGANISM(S): Homo Sapiens Mus Musculus 
2024-12-06 | PXD058635 |
UnknownCorrelation Between Fecal Microbiota and Corticosteroid Responsiveness in Primary Immune Thrombocytopenia: an Exploratory Study.
Not available
S-EPMC12165022 | biostudies-literature
UnknownThe Chinese consensus for surgical treatment of traumatic rib fractures 2021 (C-STTRF 2021).
Not available
S-EPMC8606596 | biostudies-literature
UnknownContinual Decline in Azole Susceptibility Rates in Candida tropicalis Over a 9-Year Period in China.
Not available
S-EPMC8299486 | biostudies-literature
UnknownPrediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study.
Not available
S-EPMC10014765 | biostudies-literature
UnknownElective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans.
Not available
S-EPMC7272903 | biostudies-literature
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