Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Niels Marcussen is active.

Publication


Featured researches published by Niels Marcussen.


Apmis | 1988

SOME NEW, SIMPLE AND EFFICIENT STEREOLOGICAL METHODS AND THEIR USE IN PATHOLOGICAL RESEARCH AND DIAGNOSIS

Hans Jørgen G. Gundersen; T.F. Bendtsen; L. Korbo; Niels Marcussen; A. Møller; K. Nielsen; Jens R. Nyengaard; B. Pakkenberg; Flemming Brandt Sørensen; A. Vesterby; Mark J. West

Stereology is a set of simple and efficient methods for quantitation of three‐dimensional microscopic structures which is specifically tuned to provide reliable data from sections. Within the last few years, a number of new methods has been developed which are of special interest to pathologists. Methods for estimating the volume, surface area and length of any structure are described in this review. The principles on which stereology is based and the necessary sampling procedures are described and illustrated with examples. The necessary equipment, the measurements, and the calculations are invariably simple and easy.


Apmis | 1988

The new stereological tools: Disector, fractionator, nucleator and point sampled intercepts and their use in pathological research and diagnosis

Hans Jørgen G. Gundersen; P. V. Bagger; T.F. Bendtsen; S.M. Evans; L. Korbo; Niels Marcussen; A. Møller; Karsten Nielsen; Jens R. Nyengaard; B. Pakkenberg; Flemming Brandt Sørensen; A. Vesterby; Mark J. West

The new stereological methods for correct and efficient sampling and sizing of cells and other particles are reviewed. There is a hierarchy of methods starting from the simplest where even the microscopic magnification may be unknown to the most complex where typically both section thickness and the magnification must be known. Opticalsections in suitably modified microscopes can be used to improve the ease and speed with which even the most demanding of these methods are performed. The methods are illustrated by practical examples of applications to a wide range of histological entities including synapses, neurons and cancer cells, glomerular corpuscles and ovarian follicles.


Nature Genetics | 2003

Identifying distinct classes of bladder carcinoma using microarrays

Lars Dyrskjøt; Thomas Thykjaer; Mogens Kruhøffer; Jens Ledet Jensen; Niels Marcussen; Stephen Hamilton-Dutoit; Hans Wolf; Torben F. Ørntoft

Bladder cancer is a common malignant disease characterized by frequent recurrences. The stage of disease at diagnosis and the presence of surrounding carcinoma in situ are important in determining the disease course of an affected individual. Despite considerable effort, no accepted immunohistological or molecular markers have been identified to define clinically relevant subsets of bladder cancer. Here we report the identification of clinically relevant subclasses of bladder carcinoma using expression microarray analysis of 40 well characterized bladder tumors. Hierarchical cluster analysis identified three major stages, Ta, T1 and T2-4, with the Ta tumors further classified into subgroups. We built a 32-gene molecular classifier using a cross-validation approach that was able to classify benign and muscle-invasive tumors with close correlation to pathological staging in an independent test set of 68 tumors. The classifier provided new predictive information on disease progression in Ta tumors compared with conventional staging (P < 0.005). To delineate non-recurring Ta tumors from frequently recurring Ta tumors, we analyzed expression patterns in 31 tumors by applying a supervised learning classification methodology, which classified 75% of the samples correctly (P < 0.006). Furthermore, gene expression profiles characterizing each stage and subtype identified their biological properties, producing new potential targets for therapy.


Cancer Research | 2004

Gene Expression in the Urinary Bladder: A Common Carcinoma in Situ Gene Expression Signature Exists Disregarding Histopathological Classification

Lars Dyrskjøt; Mogens Kruhøffer; Thomas Thykjaer; Niels Marcussen; Jens Ledet Jensen; Klaus Møller; T F Ørntoft

The presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). Hierarchical cluster analysis separated the sTCC samples according to the presence or absence of CIS in the surrounding urothelium. We identified a few gene clusters that contained genes with similar expression levels in transitional cell carcinoma (TCC) with surrounding CIS and invasive TCC. However, no close relationship between TCC with adjacent CIS and invasive TCC was observed using hierarchical cluster analysis. Expression profiling of a series of biopsies from normal urothelium and urothelium with CIS lesions from the same urinary bladder revealed that the gene expression found in sTCC with surrounding CIS is found also in CIS biopsies as well as in histologically normal samples adjacent to the CIS lesions. Furthermore, we also identified similar gene expression changes in mTCC samples. We used a supervised learning approach to build a 16-gene molecular CIS classifier. The classifier was able to classify sTCC samples according to the presence or absence of surrounding CIS with a high accuracy. This study demonstrates that a CIS gene expression signature is present not only in CIS biopsies but also in sTCC, mTCC, and, remarkably, in histologically normal urothelium from bladders with CIS. Identification of this expression signature could provide guidance for the selection of therapy and follow-up regimen in patients with early stage bladder cancer.


Journal of Clinical Oncology | 2009

Presence of Intratumoral Neutrophils Is an Independent Prognostic Factor in Localized Renal Cell Carcinoma

Hanne Krogh Jensen; Frede Donskov; Niels Marcussen; Marianne Nordsmark; Finn Lundbeck; Hans von der Maase

PURPOSE We have previously demonstrated a significant negative impact of intratumoral neutrophils in metastatic renal cell carcinoma. This study assessed intratumoral neutrophils in localized clear cell renal cell carcinoma (RCC). PATIENTS AND METHODS The study comprised 121 consecutive patients who had a nephrectomy for localized RCC. Biomarkers (intratumoral CD8+, CD57+ immune cells, CD66b+ neutrophils, and carbonic anhydrase IX [CA IX]) were assessed by immunohistochemistry, and the relationship with clinical and histopathologic features and patient outcome was evaluated. RESULTS The intratumoral neutrophils ranged from zero to 289 cells/mm(2) tumor tissue. The presence of intratumoral neutrophils was statistically significantly associated with increasing tumor size, low hemoglobin, high creatinine, and CA IX < or = 85%. In multivariate analysis, the presence of intratumoral neutrophils (hazard ratio [HR], 3.0; 95% CI, 1.7 to 5.4; P < .0001), pT stage T3b/T4 (HR, 2.1; 95% CI, 1.2 to 3.6; P = .007), and low hemoglobin (HR, 1.8; 95% CI, 1.0 to 3.1; P = .03) were independent prognostic factors significantly associated with short recurrence-free survival. The presence of intratumoral neutrophils was also an independent prognostic factor for cancer-specific survival (HR, 3.5; 95% CI, 1.9 to 6.4; P < .0001) and overall survival (HR, 3.1; 95% CI, 1.9 to 5.0; P < .0001). Applying the prognostic value of intratumoral neutrophils to the Leibovich low-/intermediate-risk group (n = 78) showed a 5-year recurrence-free survival of 53% (95% CI, 34.6% to 71.8%; presence of intratumoral neutrophils) versus 87% (95% CI, 77.8% to 96.8%; absence of intratumoral neutrophils). The estimated concordance index was 0.74 using the Leibovich risk score and 0.80 when intratumoral neutrophils were added. CONCLUSION The presence of intratumoral neutrophils is a new, strong, independent prognostic factor for short recurrence-free, cancer-specific, and overall survival in localized clear cell RCC.


Clinical Cancer Research | 2007

Gene Expression Signatures Predict Outcome in Non–Muscle-Invasive Bladder Carcinoma: A Multicenter Validation Study

Lars Dyrskjøt; Karsten Zieger; Francisco X. Real; Núria Malats; Alfredo Carrato; Carolyn D. Hurst; Sanjeev Kotwal; Margaret A. Knowles; Per-Uno Malmström; Manuel de la Torre; Kenneth Wester; Yves Allory; Dimitri Vordos; Aurélie Caillault; François Radvanyi; Anne-Mette K. Hein; Jens Ledet Jensen; Klaus Møller-Ernst Jensen; Niels Marcussen; Torben F. Ørntoft

Purpose: Clinically useful molecular markers predicting the clinical course of patients diagnosed with non–muscle-invasive bladder cancer are needed to improve treatment outcome. Here, we validated four previously reported gene expression signatures for molecular diagnosis of disease stage and carcinoma in situ (CIS) and for predicting disease recurrence and progression. Experimental Design: We analyzed tumors from 404 patients diagnosed with bladder cancer in hospitals in Denmark, Sweden, England, Spain, and France using custom microarrays. Molecular classifications were compared with pathologic diagnosis and clinical outcome. Results: Classification of disease stage using a 52-gene classifier was found to be highly significantly correlated with pathologic stage (P < 0.001). Furthermore, the classifier added information regarding disease progression of Ta or T1 tumors (P < 0.001). The molecular 88-gene progression classifier was highly significantly correlated with progression-free survival (P < 0.001) and cancer-specific survival (P = 0.001). Multivariate Cox regression analysis showed the progression classifier to be an independently significant variable associated with disease progression after adjustment for age, sex, stage, grade, and treatment (hazard ratio, 2.3; P = 0.007). The diagnosis of CIS using a 68-gene classifier showed a highly significant correlation with histopathologic CIS diagnosis (odds ratio, 5.8; P < 0.001) in multivariate logistic regression analysis. Conclusion: This multicenter validation study confirms in an independent series the clinical utility of molecular classifiers to predict the outcome of patients initially diagnosed with non–muscle-invasive bladder cancer. This information may be useful to better guide patient treatment.


Clinical Cancer Research | 2005

A molecular signature in superficial bladder carcinoma predicts clinical outcome.

Lars Dyrskjøt; Karsten Zieger; Mogens Kruhøffer; Thomas Thykjaer; Jens Ledet Jensen; Hanne Primdahl; Natasha Aziz; Niels Marcussen; Klaus Møller; Torben F. Ørntoft

Purpose: Cancer of the urinary bladder is a common malignant disease in the western countries. The majority of patients presents with superficial tumors with a high recurrence frequency, a minor fraction of these patients experience disease progression to a muscle invasive stage. No clinical useful molecular markers exist to identify patients showing later disease progression. The purpose of this study was to identify markers of disease progression using full-genome expression analysis. Experimental Design: We did a full-genome expression analysis (59,619 genes and expressed sequence tags) of superficial bladder tumors from 29 bladder cancer patients (13 without later disease progression and 16 with later disease progression) using high-density oligonucleotide microarrays. We used supervised learning for identification of the optimal genes for predicting disease progression. The identified genes were validated on an independent test set (74 superficial tumor samples) using in house-fabricated 60-mer oligonucleotide microarrays. Results: We identified a 45-gene signature of disease progression. By monitoring this progression signature in an independent test set, we found a significant correlation between our classifications and the clinical outcome (P < 0.03). The genes identified as differentially expressed were involved in regulating apoptosis, cell differentiation, and cell cycle and hence may represent potential therapeutic targets. Conclusions: Our results indicate that it may be possible to identify patients with a high risk of disease progression at an early stage using a molecular signature present already in the superficial tumors. In this way, better treatment and follow-up regimens could be assigned to patients suffering from superficial bladder cancer.


BJUI | 2011

Fluorescence‐guided transurethral resection of bladder tumours reduces bladder tumour recurrence due to less residual tumour tissue in T a/T1 patients: a randomized two‐centre study

Gregers G. Hermann; Karin Mogensen; Steen Carlsson; Niels Marcussen; Susanne Duun

Study Type – Therapy (RCT)


BJUI | 2012

[18F]fluoromethylcholine (FCH) positron emission tomography/computed tomography (PET/CT) for lymph node staging of prostate cancer: a prospective study of 210 patients

Mads Hvid Poulsen; Kirsten Bouchelouche; Poul Flemming Høilund-Carlsen; Henrik Petersen; Oke Gerke; Signe Inglev Steffansen; Niels Marcussen; Niels Svolgaard; Werner Vach; Ulla Geertsen; Steen Walter

Study Type – Diagnostic (exploratory cohort)


International Journal of Molecular Sciences | 2013

Angiotensin II Regulates microRNA-132/-212 in Hypertensive Rats and Humans

Tilde Eskildsen; Pia L Jeppesen; Mikael Schneider; A.Y. Nossent; Maria B. Sandberg; Pernille B. Lærkegaard Hansen; Charlotte Harken Jensen; Maria Lyck Hansen; Niels Marcussen; Lars Melholt Rasmussen; Peter Bie; Ditte Caroline Andersen; Søren Paludan Sheikh

MicroRNAs (miRNAs), a group of small non-coding RNAs that fine tune translation of multiple target mRNAs, are emerging as key regulators in cardiovascular development and disease. MiRNAs are involved in cardiac hypertrophy, heart failure and remodeling following cardiac infarction; however, miRNAs involved in hypertension have not been thoroughly investigated. We have recently reported that specific miRNAs play an integral role in Angiotensin II receptor (AT1R) signaling, especially after activation of the Gαq signaling pathway. Since AT1R blockers are widely used to treat hypertension, we undertook a detailed analysis of potential miRNAs involved in Angiotensin II (AngII) mediated hypertension in rats and hypertensive patients, using miRNA microarray and qPCR analysis. The miR-132 and miR-212 are highly increased in the heart, aortic wall and kidney of rats with hypertension (159 ± 12 mm Hg) and cardiac hypertrophy following chronic AngII infusion. In addition, activation of the endothelin receptor, another Gαq coupled receptor, also increased miR-132 and miR-212. We sought to extend these observations using human samples by reasoning that AT1R blockers may decrease miR-132 and miR-212. We analyzed tissue samples of mammary artery obtained from surplus arterial tissue after coronary bypass operations. Indeed, we found a decrease in expression levels of miR-132 and miR-212 in human arteries from bypass-operated patients treated with AT1R blockers, whereas treatment with β-blockers had no effect. Taken together, these data suggest that miR-132 and miR-212 are involved in AngII induced hypertension, providing a new perspective in hypertensive disease mechanisms.

Collaboration


Dive into the Niels Marcussen's collaboration.

Top Co-Authors

Avatar

Boye L. Jensen

University of Southern Denmark

View shared research outputs
Top Co-Authors

Avatar

Steen Walter

Odense University Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Grith Lykke Sørensen

University of Southern Denmark

View shared research outputs
Top Co-Authors

Avatar

Uffe Holmskov

University of Southern Denmark

View shared research outputs
Top Co-Authors

Avatar

Anders Schlosser

University of Southern Denmark

View shared research outputs
Top Co-Authors

Avatar

Gregor Guron

University of Gothenburg

View shared research outputs
Top Co-Authors

Avatar

Jean-Marie Delaissé

University of Southern Denmark

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Thomas Levin Andersen

University of Southern Denmark

View shared research outputs
Researchain Logo
Decentralizing Knowledge