DELINEATION OF SITES MEDIATING ESTROGEN REGULATION OF THE RAT CREATINE KINASE-B GENE
MOLECULAR ENDOCRINOLOGY
Authors: WUPENG, XS; PUGLIESE, TE; DICKERMAN, HW; PENTECOST, BT
Abstract
We have previously confirmed the estrogen-induced protein of rat uterus to be creatine kinase B (CKB), and demonstrated a 1.7-kilobasepair fragment encompassing the promoter and adjoining 5'-flank to be capable of conferring estrogen responsiveness in HeLa cells. In this study we find an element at -550, aGGTCAgaaCACCCt, with limited similarity to the estrogen response element consensus, to be involved in conferring estrogen responsiveness on the CKB promoter. This element can bind estrogen receptor (ER) and is flanked by two GC boxes, which we find capable of binding bacterially expressed Sp1. Additional responsiveness is found closely associated with the CKB promoter at high levels of cotransfected ER construct. No potential response element was identified in this region, but we find the ER DNA-binding domain to be required.
Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis
EUROPEAN RADIOLOGY
Authors: Beer, Lucian; Sahin, Hilal; Bateman, Nicholas W.; Blazic, Ivana; Vargas, Hebert Alberto; Veeraraghavan, Harini; Kirby, Justin; Fevrier-Sullivan, Brenda; Freymann, John B.; Jaffe, C. Carl; Brenton, James; Micco, Maura; Nougaret, Stephanie; Darcy, Kathleen M.; Maxwell, G. Larry; Conrads, Thomas P.; Huang, Erich; Sala, Evis
Abstract
Objectives To investigate the association between CT imaging traits and texture metrics with proteomic data in patients with high-grade serous ovarian cancer (HGSOC). Methods This retrospective, hypothesis-generating study included 20 patients with HGSOC prior to primary cytoreductive surgery. Two readers independently assessed the contrast-enhanced computed tomography (CT) images and extracted 33 imaging traits, with a third reader adjudicating in the event of a disagreement. In addition, all sites of suspected HGSOC were manually segmented texture features which were computed from each tumor site. Three texture features that represented intra- and inter-site tumor heterogeneity were used for analysis. An integrated analysis of transcriptomic and proteomic data identified proteins with conserved expression between primary tumor sites and metastasis. Correlations between protein abundance and various CT imaging traits and texture features were assessed using the Kendall tau rank correlation coefficient and the Mann-Whitney U test, whereas the area under the receiver operating characteristic curve (AUC) was reported as a metric of the strength and the direction of the association. P values < 0.05 were considered significant. Results Four proteins were associated with CT-based imaging traits, with the strongest correlation observed between the CRIP2 protein and disease in the mesentery (p < 0.001, AUC = 0.05). The abundance of three proteins was associated with texture features that represented intra-and inter-site tumor heterogeneity, with the strongest negative correlation between the CKB protein and cluster dissimilarity (p = 0.047, tau = 0.326). Conclusion This study provides the first insights into the potential associations between standard-of-care CT imaging traits and texture measures of intra- and inter-site heterogeneity, and the abundance of several proteins.