Výsledky vyhledávání - "Janine Antonov"

A Comparative Review of Marketing Authorization Decisions in Switzerland, the EU, and the USA

Autor: Simon Dalla Torre Di Sanguinetto, Janine Antonov, Claus Bolte, Esa Heinonen

Publikováno v: Therapeutic Innovation and Regulatory Science.

In this study we compared Swissmedic’s (SMC’s) regulatory marketing authorization decisions to those of the US Food and Drug Administration (FDA) and European drug regulatory authorities (EU). We investigated the overall similarity of the regulat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee9f709c9af1524ac98d0b439e68a4ef
http://juuli.fi/Record/0277684716

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Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue

Autor: Anna Baltzer, Mauro Delorenzi, Beat Thürlimann, Vlad Popovici, Andrea Oberli, Hans Jörg Altermatt, Pratyaksha Wirapati, Janine Antonov, Anita Giobbie-Hurder, Giuseppe Viale, Rolf Jaggi, Stefan Aebi

Publikováno v: BMC Cancer, Vol 10, Iss 1, p 37 (2010)
BMC Cancer, vol. 10, pp. 37
BMC Cancer
Antonov, Janine; Popovici, Vlad; Delorenzi, Mauro; Wirapati, Pratyaksha; Baltzer, Anna; Oberli, Andrea; Thürlimann, Beat; Giobbie-Hurder, Anita; Viale, Giuseppe; Altermatt, Hans Jörg; Aebi, Stefan; Jaggi, Rolf (2010). Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue. BMC cancer, 10, p. 37. London: BioMed Central 10.1186/1471-2407-10-37

Background The purpose of the work reported here is to test reliable molecular profiles using routinely processed formalin-fixed paraffin-embedded (FFPE) tissues from participants of the clinical trial BIG 1-98 with a median follow-up of 60 months. M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01bd029af40258ed79100ff184fceb41
http://www.biomedcentral.com/1471-2407/10/37

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Non-invasive gene-expression-based detection of well-developed collateral function in individuals with and without coronary artery disease

Autor: Alexandre Kuhn, Christian Seiler, Pascal Meier, Rainer Zbinden, Stephan Zbinden, Steffen Gloekler, Janine Antonov, Mauro Delorenzi, Rolf Jaggi

Publikováno v: Heart (British Cardiac Society). 95(11)

BACKGROUND: In patients with coronary artery disease (CAD), a well grown collateral circulation has been shown to be important. The aim of this prospective study using peripheral blood monocytes was to identify marker genes for an extensively grown c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cbc95cdfaf082e3e285b2a4c66d0e81
https://pubmed.ncbi.nlm.nih.gov/18728069

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Expression profiling with RNA from formalin-fixed, paraffin-embedded material

Autor: Stefan Aebi, Andrea Oberli, Mauro Delorenzi, Sybille Matthey, Anna Baltzer, H J Altermatt, Vlad Popovici, Janine Antonov, Rolf Jaggi

Publikováno v: BMC Medical Genomics, Vol 1, Iss 1, p 9 (2008)
BMC Medical Genomics
Bmc Medical Genomics, vol. 1, pp. 9
Oberli, Andrea; Popovici, Vlad; Delorenzi, Mauro; Baltzer, Anna; Antonov, Janine; Matthey, Sybille; Aebi, Stefan; Altermatt, Hans Jörg; Jaggi, Rolf (2008). Expression profiling with RNA from formalin-fixed, paraffin-embeeded material. BMC Genomics, 1(1), p. 9. London: BioMed Central 10.1186/1755-8794-1-9

Background Molecular characterization of breast and other cancers by gene expression profiling has corroborated existing classifications and revealed novel subtypes. Most profiling studies are based on fresh frozen (FF) tumor material which is availa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8006fea176b37666b232aa4482c1edc
http://www.biomedcentral.com/1755-8794/1/9

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Reliable gene expression measurements from degraded RNA by quantitative real-time PCR depend on short amplicons and a proper normalization

Autor: Marco Pirotta, Anna Baltzer, Janine Antonov, Rolf Jaggi, Hails J. Altermatt, Andrea Oberli, Darlene R. Goldstein, Achim Fleischmann

Publikováno v: Laboratory investigation; a journal of technical methods and pathology. 85(8)

Quantitative reverse transcriptase real-time PCR (QRT-PCR) is a robust method to quantitate RNA abundance. The procedure is highly sensitive and reproducible as long as the initial RNA is intact. However, breaks in the RNA due to chemical or enzymati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e8aa2f5327575f595dcb7946d1bb6c0
https://pubmed.ncbi.nlm.nih.gov/15951835

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0062 Prognostic factors for breast cancer - clinical testing and validation from archival material

Autor: Mauro Delorenzi, Vlad Popovici, Beat Thürlimann, Anita Giobbie-Hurder, Hans Jörg Altermatt, G. Viale, Stefan Aebi, Janine Antonov, Rolf Jaggi

Publikováno v: The Breast. 18:S33

Reference EPFL-CONF-159813View record in Web of Science Record created on 2010-11-30, modified on 2017-05-10

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0bb14219dc10a09959704d6a79357645
https://doi.org/10.1016/s0960-9776(09)70107-9

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Risk assessment of relapse in Swiss participants of BIG 1-98 with grade 2 early breast cancer by gene expression profiling using RNA from formalin-fixed, paraffin embedded (FFPE) tissue

Autor: Vlad Popovici, Beat Thürlimann, Janine Antonov, H J Altermatt, Rolf Jaggi, Giuseppe Viale, Stefan Aebi, Mauro Delorenzi, Anita Giobbie-Hurder

Publikováno v: Cancer Research. 69:1073

Abstract #1073 BIG 1-98 is a randomized controlled clinical trial for postmenopausal patients with early, estrogen and/or progesterone receptor (ER/PgR) positive breast cancer. It compares adjuvant therapy with 5 years of tamoxifen (T) or letrozole (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56b351ea3a06adf5088715ddadc11d6b
https://doi.org/10.1158/0008-5472.sabcs-1073

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Selecting control genes for RT-QPCR using public microarray data

Autor: Vlad Popovici, Mauro Delorenzi, Darlene R. Goldstein, Janine Antonov, Pratyaksha Wirapati, Rolf Jaggi

Publikováno v: BMC Bioinformatics, Vol 10, Iss 1, p 42 (2009)
BMC Bioinformatics
Popovici, Vlad; Goldstein, Darlene R; Antonov, Janine; Jaggi, Rolf; Delorenzi, Mauro; Wirapati, Pratyaksha (2009). Selecting control genes for RT-QPCR using public microarray data. BMC bioinformatics, 10, p. 42. London: BioMed Central 10.1186/1471-2105-10-42
Bmc Bioinformatics, vol. 10, pp. 42

Background Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::102136ce9f54ceb106b95e1494e60fb1
https://infoscience.epfl.ch/record/160006

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