Rosemarie Marchan

Dr. Rosemarie Marchan


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 October 2017 in Archives of Toxicology
Verified
Journal Article
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MLMarcel Leist
Marcel Leist
AGAhmed Ghallab
Ahmed Ghallab
RGRabea Graepel
Rabea Graepel
RMRosemarie Marchan
Rosemarie Marchan
RHReham Hassan
Reham Hassan
Jan G HengstlerJan G Hengstler
Jan G Hengstler

1 February 2009 in Molecular Aspects of Medicine
Verified
Journal Article
Closed access
NBNazzareno Ballatori
Nazzareno Ballatori
SKSuzanne M. Krance
Suzanne M. Krance
RMRosemarie Marchan
Rosemarie Marchan
CHChristine L. Hammond
Christine L. Hammond

30 April 2012 in Clinical Cancer Research
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Journal Article
Open access
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Marcus SchmidtMarcus Schmidt
Marcus Schmidt
BHBirte Hellwig
Birte Hellwig
SHSeddik Hammad
Seddik Hammad
AOAmnah Othman
Amnah Othman
MLMiriam Lohr
Miriam Lohr
Jan G HengstlerJan G Hengstler
Jan G Hengstler
Purpose: Although the central role of the immune system for tumor prognosis is generally accepted, a single robust marker is not yet available.

15 October 2014 in Cell Cycle
Verified
Journal Article
Open access
CCCristina Cadenas
Cristina Cadenas
LSLeonie van de Sandt
Leonie van de Sandt
KEKarolina Edlund
Karolina Edlund
MLMiriam Lohr
Miriam Lohr
BHBirte Hellwig
Birte Hellwig
Jan G HengstlerJan G Hengstler
Jan G Hengstler
Several studies suggest a link between circadian rhythm disturbances and tumorigenesis. However, the association between circadian clock genes and prognosis in breast cancer has not been systematically studied. Therefore, we examined the expression of 17 clock components in tumors from 766 node-negative breast cancer patients that were untreated in both neoadjuvant and adjuvant settings. In addition, their association with metastasis-free survival (MFS) and correlation to clinicopathological parameters were investigated. Aiming to estimate functionality of the clockwork, we studied clock gene expression relationships by correlation analysis. Higher expression of several clock genes (e.g., CLOCK, PER1, PER2, PER3, CRY2, NPAS2 and RORC) was found to be associated with longer MFS in univariate Cox regression analyses (HR<1 and FDR-adjusted P < 0.05). Stratification according to molecular subtype revealed prognostic relevance for PER1, PER3, CRY2 and NFIL3 in the ER+/HER2- subgroup, CLOCK and NPAS2 in the ER-...

1 May 2005 in Toxicology and Applied Pharmacology
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Journal Article
Closed access
NBNazzareno Ballatori
Nazzareno Ballatori
CHChristine L. Hammond
Christine L. Hammond
JCJennifer B. Cunningham
Jennifer B. Cunningham
SKSuzanne M. Krance
Suzanne M. Krance
RMRosemarie Marchan
Rosemarie Marchan

21 November 2012 in Archives of Toxicology
Verified
Journal Article
Open access
PDF file
AKAnne K. Krug
Anne K. Krug
RKRaivo Kolde
Raivo Kolde
JGJohn A. Gaspar
John A. Gaspar
EREugen Rempel
Eugen Rempel
NBNina V. Balmer
Nina V. Balmer
Agapios SachinidisAgapios Sachinidis
Agapios Sachinidis
Developmental neurotoxicity (DNT) and many forms of reproductive toxicity (RT) often manifest themselves in functional deficits that are not necessarily based on cell death, but rather on minor changes relating to cell differentiation or communication. The fields of DNT/RT would greatly benefit from in vitro tests that allow the identification of toxicant-induced changes of the cellular proteostasis, or of its underlying transcriptome network. Therefore, the ‘human embryonic stem cell (hESC)-derived novel alternative test systems (ESNATS)’ European commission research project established RT tests based on defined differentiation protocols of hESC and their progeny. Valproic acid (VPA) and methylmercury (MeHg) were used as positive control compounds to address the following fundamental questions: (1) Does transcriptome analysis allow discrimination of the two compounds? (2) How does analysis of enriched transcription factor binding sites (TFBS) and of individual probe sets (PS) distinguish between test systems? (3) Can batch effects be controlled? (4) How many DNA microarrays are needed? (5) Is the highest non-cytotoxic concentration optimal and relevant for the study of transcriptome changes? VPA triggered vast transcriptional changes, whereas MeHg altered fewer transcripts. To attenuate batch effects, analysis has been focused on the 500 PS with highest variability. The test systems differed significantly in their responses (<20 % overlap). Moreover, within one test system, little overlap between the PS changed by the two compounds has been observed. However, using TFBS enrichment, a relatively large ‘common response’ to VPA and MeHg could be distinguished from ‘compound-specific’ responses. In conclusion, the ESNATS assay battery allows classification of human DNT/RT toxicants on the basis of their transcriptome profiles.