12 research outputs found

    Expression cloning of an interferon-inducible 17-kDa membrane protein implicated in the control of cell growth.

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    Interferon-inducible membrane proteins of approximately 17 kDa have been suggested to play a role in the antiproliferative activity of interferons based on (1) their pattern of induction in interferon-sensitive and -resistant cell lines and (2) the ability of a membrane fraction enriched in 17-kDa proteins to inhibit cell growth. To gain insight into the nature of the proteins that mediate the antiproliferative activity of interferons, a monoclonal antibody, 13A5, was generated that reacted specifically with a 17-kDa interferon-inducible cell surface protein. The expression pattern of this 17-kDa protein by human cell lines correlated with sensitivity to the antiproliferative activity of interferons. To obtain information regarding the structure of this protein, the 13A5 antibody was used to screen COS cells transfected with a human cDNA expression library. Sequence analysis of a full-length cDNA clone revealed identity with the 9-27 cDNA, previously isolated on the basis of its interferon inducibility by differential screening. In addition, the 17-kDa protein encoded by the 9-27 gene was shown to be identical to the Leu-13 antigen. Leu-13 was previously identified as a 16-kDa interferon-inducible protein in leukocytes and endothelial cells and is a component of a multimeric complex involved in the transduction of antiproliferative and homotypic adhesion signals. These results suggest a novel level of cellular regulation by interferons involving a membrane protein, encoded by the interferon-inducible 9-27 gene, which associates with other proteins at the cell surface, forming a complex relaying growth inhibitory and aggregation signals.Journal Articleinfo:eu-repo/semantics/publishe

    Feasibility of developing reliable gene expression modules from FFPE derived RNA profiled on Affymetrix arrays

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    The reliability of differential gene expression analysis on formalin-fixed, paraffin-embedded (FFPE) expression profiles generated using Affymetrix arrays is questionable, due to the high range of percent-present values reported in studies which profiled FFPE samples using this technology. Moreover, the validity of gene-modules derived from external datasets in FFPE microarray expression profiles is unknown. By generating matched gene expression profiles using RNAs derived from fresh-frozen (FF) and FFPE preserved breast tumors with Affymetrix arrays and FF/FFPE RNA specific amplification-and-labeling kits, the reliability of differential expression analysis and the validity of gene modules derived from external datasets were investigated. Specifically, the reliability of differential expression analysis was investigated by developing de-novo ER/HER2 pathway gene-modules from the matched datasets and validating them on external FF/FFPE gene expression datasets using ROC analysis. Spearman’s rank correlation coefficient of module scores between matched FFPE/frozen datasets was used to measure the reliability of gene-modules derived from external datasets in FFPE expression profiles. Independent of the array/amplification-kit/sample preservation method used, de-novo ER/HER2 gene-modules derived from all matched datasets showed similar prediction performance in the independent validation (AUC range in FFPE dataset; ER: 0.93–0.95, HER2: 0.85–0.91), except for the de-novo ER/HER2 gene-module derived from the FFPE dataset using the 3’IVT kit (AUC range in FFPE dataset; ER: 0.79–0.81, HER2: 0.78). Among the external gene modules considered, roughly ~50% gene modules showed high concordance between expression profiles derived from matching FF and FFPE RNA. The remaining discordant gene modules between FF and FFPE expression profiles showed high concordance within matching FF datasets and within matching FFPE datasets independently, implying that microarrays still require improved amplification-and-sample-preparation protocols for deriving 100% concordant expression profiles from matching FF and FFPE RNA.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    HER2-Overexpressing Breast Cancers Amplify FGFR Signaling upon Acquisition of Resistance to Dual Therapeutic Blockade of HER2

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    Purpose: Dual blockade of HER2 with trastuzumab and lapatinib or pertuzumab has been shown to be superior to single-agent trastuzumab. However, a significant fraction of HER2-overexpressing (HER2(+)) breast cancers escape from these drug combinations. In this study, we sought to discover the mechanisms of acquired resistance to the combination of lapatinib + trastuzumab. Experimental Design: HER2(+) BT474 xenografts were treated with lapatinib + trastuzumab long-term until resistance developed. Potential mechanisms of acquired resistance were evaluated in lapatinib + trastuzumab-resistant (LTR) tumors by targeted capture next-generation sequencing. In vitro experiments were performed to corroborate these findings, and a novel drug combination was tested against LTR xenografts. Gene expression and copy-number analyses were performed to corroborate our findings in clinical samples. Results: LTR tumors exhibited an increase in FGF3/4/19 copy number, together with an increase in FGFR phosphorylation, marked stromal changes in the tumor microenvironment, and reduced tumor uptake of lapatinib. Stimulation of BT474 cells with FGF4 promoted resistance to lapatinib + trastuzumab in vitro. Treatment with FGFR tyrosine kinase inhibitors reversed these changes and overcame resistance to lapatinib + trastuzumab. High expression of FGFR1 correlated with a statistically shorter progression-free survival in patients with HER2(+) early breast cancer treated with adjuvant trastuzumab. Finally, FGFR1 and/or FGF3 gene amplification correlated with a lower pathologic complete response in patients with HER2(+) early breast cancer treated with neoadjuvant anti-HER2 therapy. Conclusions: Amplification of FGFR signaling promotes resistance to HER2 inhibition, which can be diminished by the combination of HER2 and FGFR inhibitors. (C) 2017 AACR.Peer reviewe
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