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  • American Association for Cancer Research (AACR)  (3)
  • Dvorkin-Gheva, Anna  (3)
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  • American Association for Cancer Research (AACR)  (3)
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  • 1
    Online-Ressource
    Online-Ressource
    American Association for Cancer Research (AACR) ; 2013
    In:  Molecular Cancer Research Vol. 11, No. 10_Supplement ( 2013-10-01), p. A124-A124
    In: Molecular Cancer Research, American Association for Cancer Research (AACR), Vol. 11, No. 10_Supplement ( 2013-10-01), p. A124-A124
    Kurzfassung: Molecular profiling of human breast cancers has defined 5 molecular subtypes: luminal A, luminal B, HER2 over-expressing, basal-like and claudin-low. The claudin-low subtype was identified in 2007 and is characterized by low expression of claudin proteins, E-cadherin and markers of luminal differentiation, and is reported to be associated with expression of mesenchymal and cancer stem cell (CSC) markers. The prevalence of this subtype is reported to be between 7-14% and there are an excess of tumors with metaplastic and medullary-like features, an association with poor prognosis and evidence that they may be resistant to conventional chemotherapies. Using information from publicly available gene expression microarray data, we sought to identify immunohistochemical markers of the claudin-low subtype and to further describe the morphological features of claudin-low breast tumors and the overall survival characteristics of patients with these tumors, along with any associations between these tumors and CSC markers. Using the gene expression microarray datasets, we performed hierarchical clustering to assign a molecular subtype to the tumors. Differential gene expression analysis was used to identify genes that were significantly upregulated and downregulated between claudin-low tumors and other tumor subtypes as candidates for immunohistochemical markers for our formalin fixed paraffin embedded (FFPE) tumor cohort. We utilized 943 stage I or stage II, lymph node negative primary invasive breast cancers treated with breast conserving surgery and adjuvant radiation, which had FFPE tumor blocks available for tissue microarray construction. On the basis of IHC expression of ER, PR, HER2, Ki67, EGFR, CK5/6, Claudin proteins and E-cadherin, tumors were classified as luminal A, luminal B, HER2 over-expressing, basal-like or claudin-low. Kaplan-Meier methods were used to estimate overall survival, and Fisher's exact tests were used to compare tumor characteristics and expression of CSC markers (ALDH1, CD44hi/CD24low) between claudin-low and luminal A tumors. Claudin-low tumors comprised 8% of our cohort with an overall survival of 73.6% at a median follow up of 12 years, similar to that of basal-like and HER2 over-expressing subtypes. Compared to luminal A type tumors, the claudin-low tumors were statistically more likely to have circumscribed tumor margins. However, there was no statistically significant association between claudin-low subtype and the expression of CSC markers. The claudin-low subtype represents a minority of invasive breast cancers, however this group is characterized by poor prognosis, and as such the identification of these tumors is useful to determine treatment options in the clinical setting. Citation Format: Kay Dias, Anna Dvorkin-Gheva, Greg Pond, Mark Levine, Timothy Whelan, Anita Bane. Characterization of claudin-low breast cancers. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr A124.
    Materialart: Online-Ressource
    ISSN: 1541-7786 , 1557-3125
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2013
    ZDB Id: 2097884-4
    SSG: 12
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 2648-2648
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 2648-2648
    Kurzfassung: Background: Thyroid hormones promote breast cancer cell proliferation and expression of their cognate nuclear receptors has shown prognostic potential in small cohort studies. Among two isoforms of thyroid hormone receptor alpha (THRα), the alpha1 splice variant (THRα1) promotes thyroid hormone mediated cell proliferation whereas the alpha2 variant (THRα2) opposes it. Hence, THRα2 expression may be a favorable prognostic biomarker in breast cancer. Methods: A publicly available database of breast tumors archived by The Cancer Genome Atlas (TCGA) was employed for this study. We analyzed RNA expression of THRα1 and THRα2 in 106 triple negative breast cancers (TNBCs) and correlated it with tumor stage (I vs II vs III) and nodal involvement (positive vs negative). Tumor grade was not uniformly reported. Univariate Cox proportional hazards regression models were fitted to determine the prognostic impact of THRα1 and THRα2 expression on overall survival (OS) and multivariate models were adjusted for age, tumor stage and radiation treatment. Results: The median age of women was 54 (range 29-90) and 12.3% died. The majority (62.3%) of patients presented with stage II disease; 16.0% were stage III and 17.9% were stage I at diagnosis. There was no significant correlation between THRα1 or THRα2 expression and tumor stage or nodal involvement. Expression of THRα2 was associated with improved OS in both uni- and multi-variate models (Table). Conclusions: In this study, THRα2 expression was independently prognostic for improved OS in TNBC. We previously demonstrated similar results in 158 TNBCs via immunohistochemistry but differentiation between RNA (as opposed to protein) splice variants is more precise. These results support investigation of THRα2 up-regulation or THRα1 inhibition as therapeutic strategies. Table. Prognostic associations of THRα2 expression in TNBCVariableUnivariate HR (95%CI)p valueMultivariate HR (95%CI)p valueLog (THRα2)0.46 (0.26-0.81) & lt;0.010.28 (0.09-0.84)0.02Log (THRα1)0.54 (0.31-0.94)0.031.38 (0.53-3.62)0.51Age (years)0.98 (0.94-1.02)0.370.92 (0.84-1.01)0.10Stage (I vs II vs III vs IV)6.14 (2.19-17.22) & lt;0.0126.03 (4.05-167.14) & lt;0.01Radiation therapy (yes vs no)0.23 (0.04-1.22)0.080.10 (0.02-0.73)0.02 Citation Format: Katarzyna J. Jerzak, Anna Dvorkin-Gheva, Jessica G. Cockburn, Anita Bane, John A. Hassell. Prognostic significance of thyroid hormone receptor-alpha-2 (THRα2) expression in triple-negative breast cancer: A TCGA study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2648.
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2018
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    American Association for Cancer Research (AACR) ; 2012
    In:  Cancer Research Vol. 72, No. 8_Supplement ( 2012-04-15), p. 3663-3663
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 3663-3663
    Kurzfassung: Basal-like breast cancer is a molecular subtype of breast cancer generally thought to have a universally poor prognosis. Subsequent studies examining the long-term outcome in thousands of patients with basal-like breast cancer have shown that these patients can be separated into two clinically distinct groups: those likely to experience a systemic recurrence and succumb to their disease within the first 5 years and those expected to show excellent long term survival. The ability to distinguish between these two sub-groups (good and poor prognosis) of basal-like breast cancer patients at the time of initial diagnosis would permit tailoring more aggressive therapeutic regimens to those patients with an inherently poorer prognosis and conversely to avoid such therapy in patients with a more indolent course. We aimed to identify a gene signature that could predict the clinical outcome of basal-like breast cancer patients. To this end we mined publicly available human breast tumor gene expression profiling data and identified patients with basal-like breast cancer. We divided these patients into training and validation sets to identify and confirm the accuracy of a prognostic signature. We identified 137 basal-like breast tumors among 995 breast tumor gene expression profiles. We used 85 of these samples as a training group and identified an optimal 14-gene signature, which accurately identified patients that experienced poor and good long-term survival. We confirmed the accuracy of our gene signature on a 49 patient independent validation set. Importantly, we also confirmed the capacity of our signature to predict outcome in a chemotherapy naïve 27 patient sub-set of the 49 patients validation set. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3663. doi:1538-7445.AM2012-3663
    Materialart: Online-Ressource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Association for Cancer Research (AACR)
    Publikationsdatum: 2012
    ZDB Id: 2036785-5
    ZDB Id: 1432-1
    ZDB Id: 410466-3
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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