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Verfasst von:Zhu, Lei [VerfasserIn]   i
 Kan, Kejia [VerfasserIn]   i
 Grün, Johanna L. [VerfasserIn]   i
 Hissa, Barbara [VerfasserIn]   i
 Yang, Cui [VerfasserIn]   i
 Győrffy, Balázs [VerfasserIn]   i
 Loges, Sonja [VerfasserIn]   i
 Reißfelder, Christoph [VerfasserIn]   i
 Schölch, Sebastian [VerfasserIn]   i
Titel:GAS2L1 is a potential biomarker of circulating tumor cells in pancreatic cancer
Verf.angabe:Lei Zhu, Ke-Jia Kan, Johanna L. Grün, Barbara Hissa, Cui Yang, Balázs Győrffy, Sonja Loges, Christoph Reißfelder and Sebastian Schölch
E-Jahr:2020
Jahr:15 December 2020
Umfang:16 S.
Fussnoten:Gesehen am 09.02.2022
Titel Quelle:Enthalten in: Cancers
Ort Quelle:Basel : MDPI, 2009
Jahr Quelle:2020
Band/Heft Quelle:12(2020), 12, Artikel-ID 3774, Seite 1-16
ISSN Quelle:2072-6694
Abstract:Pancreatic cancer is a malignant disease with high mortality and a dismal prognosis. Circulating tumor cell (CTC) detection and characterization have emerged as essential techniques for early detection, prognostication, and liquid biopsy in many solid malignancies. Unfortunately, due to the low EPCAM expression in pancreatic cancer CTCs, no specific marker is available to identify and isolate this rare cell population. This study analyzed single-cell RNA sequencing profiles of pancreatic CTCs from a genetically engineered mouse model (GEMM) and pancreatic cancer patients. Through dimensionality reduction analysis, murine pancreatic CTCs were grouped into three clusters with different biological functions. CLIC4 and GAS2L1 were shown to be overexpressed in pancreatic CTCs in comparison with peripheral blood mononuclear cells (PBMCs). Further analyses of PBMCs and RNA-sequencing datasets of enriched pancreatic CTCs were used to validate the overexpression of GAS2L1 in pancreatic CTCs. A combinatorial approach using both GAS2L1 and EPCAM expression leads to an increased detection rate of CTCs in PDAC in both GEMM and patient samples. GAS2L1 is thus proposed as a novel biomarker of pancreatic cancer CTCs.
DOI:doi:10.3390/cancers12123774
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.3390/cancers12123774
 Volltext: https://www.mdpi.com/2072-6694/12/12/3774
 DOI: https://doi.org/10.3390/cancers12123774
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:biomarkers
 circulating tumor cells
 computational biology
 genetically engineered mouse model
 liquid biopsy
 mice
 pancreatic ductal adenocarcinoma
 pancreatic neoplasms
 single-cell RNA sequencing
K10plus-PPN:1788664612
Verknüpfungen:→ Zeitschrift

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