There are 2137 resources available
1204P - Expression of cholinesterase is associated with prognosis and response to chemotherapy in advanced gastric cancer
Presenter: Yanzhi Bi
Session: E-Poster Display
Resources:
Abstract
1205P - FACILITATE: A real-world multicentre prospective study investigating the utility of a rapid, fully automated RT-PCR assay vs reference methods (RM) for detecting epidermal growth factor receptor mutations (EGFRm) in NSCLC
Presenter: Michael Hummel
Session: E-Poster Display
Resources:
Abstract
1206P - Computing HRD score by a capture-based NGS panel reveal its prevalence in Chinese breast, ovarian, prostate and pancreatic cancer patients
Presenter: Kefei Huang
Session: E-Poster Display
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Abstract
1207P - Neurotrophin tyrosine receptor kinase (NTRK) partners identified by next-generation sequencing in Chinese patients with solid tumours
Presenter: Rongrong Li
Session: E-Poster Display
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Abstract
1208P - EIT PACMAN study results: OncoSignal signaling pathway analysis using FFPE-compatible tests identifies actionable cancer targets in a variety of cancers without actionable mutations
Presenter: Anja Van De Stolpe
Session: E-Poster Display
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Abstract
1209P - A new, whole-genome-based PARPi profiler (_ALICE) demonstrates unprecedented efficiency in patient selection for PARPi therapy
Presenter: Pawel Zawadzki
Session: E-Poster Display
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Abstract
1210P - Discovery and validation of novel DNA methylation markers for thyroid nodule diagnostics in plasma
Presenter: Shubin Hong
Session: E-Poster Display
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Abstract
1211P - Early detection of pancreatic ductal adenocarcinoma (PDAC) using methylation signatures in circulating tumour DNA
Presenter: Xiaoding Liu
Session: E-Poster Display
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Abstract
1212P - Exosomes cargo analysis as an approach to identify new biomarkers in NSCLC
Presenter: Elena Duréndez Sáez
Session: E-Poster Display
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Abstract
1213P - Next generation sequencing of metastatic prostate cancer: Targetable alternations in DNA damage repair genes and beyond
Presenter: Bojan Macanovic
Session: E-Poster Display
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Abstract