| |  Online-Ressource |
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| Verfasst von: | Christiani, Eva [VerfasserIn]  |
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| | Naumann, Nicole [VerfasserIn] |
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| | Weiß, Christel [VerfasserIn] |
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| | Spiess, Birgit [VerfasserIn] |
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| | Kleiner, Helga [VerfasserIn] |
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| | Fabarius, Alice [VerfasserIn] |
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| | Hofmann, Wolf-Karsten [VerfasserIn] |
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| | Saußele, Susanne [VerfasserIn] |
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| | Seifarth, Wolfgang [VerfasserIn] |
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| Titel: | Gene expression pattern of ESPL1, PTTG1 and PTTG1IP can potentially predict response to TKI first-line treatment of patients with newly diagnosed CML |
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| Verf.angabe: | Eva Christiani, Nicole Naumann, Christel Weiss, Birgit Spiess, Helga Kleiner, Alice Fabarius, Wolf-Karsten Hofmann, Susanne Saussele and Wolfgang Seifarth |
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| E-Jahr: | 2023 |
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| Jahr: | 8 May 2023 |
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| Umfang: | 17 S. |
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| Fussnoten: | Gesehen am 09.06.2023 |
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| Titel Quelle: | Enthalten in: Cancers |
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| Ort Quelle: | Basel : MDPI, 2009 |
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| Jahr Quelle: | 2023 |
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| Band/Heft Quelle: | 15(2023), 9 vom: Mai, Artikel-ID 2652, Seite 1-17 |
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| ISSN Quelle: | 2072-6694 |
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| Abstract: | The achievement of major molecular response (MMR, BCR::ABL1 ≤ 0.1% IS) within the first year of treatment with tyrosine kinase inhibitors (TKI) is a milestone in the therapeutic management of patients with newly diagnosed chronic myeloid leukemia (CML). We analyzed the predictive value of gene expression levels of ESPL1/Separase, PTTG1/Securin and PTTG1IP/Securin interacting protein for MMR achievement within 12 months. Relative expression levels (normalized to GUSB) of ESPL1, PTTG1 and PTTG1IP in white blood cells of patients (responders n = 46, non-responders n = 51) at the time of diagnosis were comparatively analyzed by qRT-PCR. 3D scatter plot analysis combined with a distance analysis performed with respect to a commonly calculated centroid center resulted in a trend to larger distances for non-responders compared to the responder cohort (p = 0.0187). Logistic regression and analysis of maximum likelihood estimates revealed a positive correlation of distance (cut-off) with non-achieving MMR within 12 months (p = 0.0388, odds ratio 1.479, 95%CI: 1.020 to 2.143). Thus, 10% of the tested non-responders (cut-off ≥ 5.9) could have been predicted already at the time of diagnosis. Future scoring of ESPL1, PTTG1 and PTTG1IP transcript levels may be a helpful tool in risk stratification of CML patients before initiation of TKI first-line treatment. |
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| DOI: | doi:10.3390/cancers15092652 |
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| 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/cancers15092652 |
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| | Volltext: https://www.mdpi.com/2072-6694/15/9/2652 |
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| | DOI: https://doi.org/10.3390/cancers15092652 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | BCR::ABL1 expression |
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| | ESPL1/Separase |
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| | PTTG1/Securin |
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| | PTTG1IP/Securin interacting protein |
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| | chronic myeloid leukemia (CML) |
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| | major molecular response (MMR) |
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| | risk stratification at initial diagnosis |
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| | TKI first-line treatment |
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| K10plus-PPN: | 1848499310 |
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| Verknüpfungen: | → Zeitschrift |
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Gene expression pattern of ESPL1, PTTG1 and PTTG1IP can potentially predict response to TKI first-line treatment of patients with newly diagnosed CML / Christiani, Eva [VerfasserIn]; 8 May 2023 (Online-Ressource)
