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Sökning: WFRF:(Liebs Sandra)

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1.
  • Chen, Lei, 1985-, et al. (författare)
  • Rare Mutation Detection in Blood Plasma Using sRCA Molecule Counting Probes
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Problems in biology and medicine frequently require the ability to observe, evaluate, andcount even extremely rare macromolecules in biological samples. In particular, rare tumorspecific mutations in plasma provide valuable insights in the course of malignant disease andresponses to therapy, but simpler assay techniques are needed. We describe herein a rapidand exquisitely specific means to recognize and magnify detection signals from individualmolecules to easily recorded levels via a process we call super rolling circle amplification(sRCA). We demonstrate the ability of this technique to enumerate tumor-specific sequencevariants in plasma from cancer patients via flow cytometry at very high efficiency, with specificityadequate to detect single nucleotide mutant sequences among 100,000 copies of thenormal sequence in a 3 hr protocol. And the mutation analysis data generated from patientctDNA samples with our sRCA method are in high accordance with the patients’ primary tumorsequencing data.
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2.
  • Schuette, Moritz, et al. (författare)
  • Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors
  • 2017
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 8
  • Tidskriftsartikel (refereegranskat)abstract
    • Colorectal carcinoma represents a heterogeneous entity, with only a fraction of the tumours responding to available therapies, requiring a better molecular understanding of the disease in precision oncology. To address this challenge, the OncoTrack consortium recruited 106 CRC patients (stages I-IV) and developed a pre-clinical platform generating a compendium of drug sensitivity data totalling 44,000 assays testing 16 clinical drugs on patient-derived in vivo and in vitro models. This large biobank of 106 tumours, 35 organoids and 59 xenografts, with extensive omics data comparing donor tumours and derived models provides a resource for advancing our understanding of CRC. Models recapitulate many of the genetic and transcriptomic features of the donors, but defined less complex molecular sub-groups because of the loss of human stroma. Linking molecular profiles with drug sensitivity patterns identifies novel biomarkers, including a signature outperforming RAS/RAF mutations in predicting sensitivity to the EGFR inhibitor cetuximab.
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