Network


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

Hotspot


Dive into the research topics where Marit Synnestvedt is active.

Publication


Featured researches published by Marit Synnestvedt.


Clinical Cancer Research | 2011

Persistence of Disseminated Tumor Cells in the Bone Marrow of Breast Cancer Patients Predicts Increased Risk for Relapse—A European Pooled Analysis

Wolfgang Janni; Florian D. Vogl; Marit Synnestvedt; Tanja Fehm; Julia Jückstock; Elin Borgen; Brigitte Rack; Stephan Braun; H. Sommer; Erich Solomayer; Klaus Pantel; Jahn M. Nesland; Klaus Friese; Bjørn Naume

Background: The prognostic significance of disseminated tumor cells (DTC) in bone marrow (BM) of breast cancer patients at the time of primary diagnosis has been confirmed by a large pooled analysis. In view of the lack of early indicators for secondary adjuvant treatment, we here evaluated whether the persistence of DTCs after adjuvant therapy increases the risk of subsequent relapse and death. Patients and Methods: Individual patient data from 676 women with primary diagnosis of early breast cancer stages I–III from 3 follow-up studies were pooled. During clinical follow-up, patients underwent BM aspiration (BMA) to determine the presence of DTC. Tumor cells were detected by the standardized immunoassays. Univariate and multivariable proportional hazards models were estimated to assess the prognostic significance of DTC for disease-free survival (DFS) and overall survival (OS). Results: Patients were followed for a median of 89 months. BMA was performed at median 37 months after diagnosis of breast cancer. At follow-up BMA, 15.5% of patients had DTCs. The presence of DTC was an independent indicator of poor prognosis for DFS, distant DFS (DDFS), cancer-specific survival, and OS during the first 5 years following cancer diagnosis (log-rank test P < 0.001 values for all investigated endpoints). Conclusion: Among breast cancer patients, persistent DTCs during follow-up significantly predicted the increased risk for subsequent relapse and death. Analysis of DTC might serve as a clinically useful monitoring tool and should be tested as an indicator for secondary adjuvant treatment intervention within clinical trials. Clin Cancer Res; 17(9); 2967–76. ©2011 AACR.


Molecular Oncology | 2007

Presence of bone marrow micrometastasis is associated with different recurrence risk within molecular subtypes of breast cancer

Bjørn Naume; Xi Zhao; Marit Synnestvedt; Elin Borgen; Hege G. Russnes; Ole Christian Lingjærde; Maria Strømberg; Gunnar Kvalheim; Rolf Kåresen; Jahn M. Nesland; Anne Lise Børresen-Dale; Therese Sørlie

Expression profiles of primary breast tumors were investigated in relation to disseminated tumor cells (DTCs) in bone marrow (BM) in order to increase our understanding of the dissemination process. Tumors were classified into five pre‐defined molecular subtypes, and presence of DTC identified (at median 85 months follow‐up) a subgroup of luminal A patients with particular poor outcome (p=0.008). This was not apparent for other tumor subtypes. Gene expression profiles associated with DTC and with systemic relapse for luminal A patients were identified. This study suggests that DTC in BM differentially distinguishes clinical outcome in patients with luminal A type tumors and that DTC‐associated gene expression analysis may identify genes of potential importance in tumor dissemination.


Molecular Oncology | 2011

DNA methylation patterns in luminal breast cancers differ from non-luminal subtypes and can identify relapse risk independent of other clinical variables

Sitharthan Kamalakaran; Vinay Varadan; Hege G. Russnes; Dan Levy; Jude Kendall; Angel Janevski; Michael Riggs; Nilanjana Banerjee; Marit Synnestvedt; Ellen Schlichting; Rolf Kåresen; K. Shama Prasada; Harish Rotti; Ramachandra Rao; Laxmi Rao; Man-Hung Eric Tang; K Satyamoorthy; Robert Lucito; Michael Wigler; Nevenka Dimitrova; Bjørn Naume; Anne Lise Børresen-Dale; James Hicks

The diversity of breast cancers reflects variations in underlying biology and affects the clinical implications for patients. Gene expression studies have identified five major subtypes– Luminal A, Luminal B, basal‐like, ErbB2+ and Normal‐Like. We set out to determine the role of DNA methylation in subtypes by performing genome‐wide scans of CpG methylation in breast cancer samples with known expression‐based subtypes. Unsupervised hierarchical clustering using a set of most varying loci clustered the tumors into a Luminal A majority (82%) cluster, Basal‐like/ErbB2+ majority (86%) cluster and a non‐specific cluster with samples that were also inconclusive in their expression‐based subtype correlations. Contributing methylation loci were both gene associated loci (30%) and non‐gene associated (70%), suggesting subtype dependant genome‐wide alterations in the methylation landscape. The methylation patterns of significant differentially methylated genes in luminal A tumors are similar to those identified in CD24 + luminal epithelial cells and the patterns in basal‐like tumors similar to CD44 + breast progenitor cells. CpG islands in the HOXA cluster and other homeobox (IRX2, DLX2, NKX2‐2) genes were significantly more methylated in Luminal A tumors. A significant number of genes (2853, p < 0.05) exhibited expression–methylation correlation, implying possible functional effects of methylation on gene expression. Furthermore, analysis of these tumors by using follow‐up survival data identified differential methylation of islands proximal to genes involved in Cell Cycle and Proliferation (Ki‐67, UBE2C, KIF2C, HDAC4), angiogenesis (VEGF, BTG1, KLF5), cell fate commitment (SPRY1, OLIG2, LHX2 and LHX5) as having prognostic value independent of subtypes and other clinical factors.


Breast Cancer Research | 2011

The prognostic significance of tumour cell detection in the peripheral blood versus the bone marrow in 733 early-stage breast cancer patients

Tj Molloy; Astrid Bosma; Lars O. Baumbusch; Marit Synnestvedt; Elin Borgen; Hege G. Russnes; Ellen Schlichting; Laura J. van 't Veer; Bjørn Naume

IntroductionThe detection of circulating tumour cells (CTCs) in the peripheral blood and disseminated tumour cells (DTCs) in the bone marrow are promising prognostic tools for risk stratification in early breast cancer. There is, however, a need for further validation of these techniques in larger patient cohorts with adequate follow-up periods.MethodsWe assayed CTCs and DTCs at primary surgery in 733 stage I or II breast cancer patients with a median follow-up time of 7.6 years. CTCs were detected in samples of peripheral blood mononuclear cells previously stored in liquid-nitrogen using a previously-developed multi-marker quantitative PCR (QPCR)-based assay. DTCs were detected in bone marrow samples by immunocytochemical analysis using anti-cytokeratin antibodies.ResultsCTCs were detected in 7.9% of patients, while DTCs were found in 11.7%. Both CTC and DTC positivity predicted poor metastasis-free survival (MFS) and breast cancer-specific survival (BCSS); MFS hazard ratio (HR) = 2.4 (P < 0.001)/1.9 (P = 0.006), and BCSS HR = 2.5 (P < 0.001)/2.3 (P = 0.01), for CTC/DTC status, respectively). Multivariate analyses demonstrated that CTC status was an independent prognostic variable for both MFS and BCSS. CTC status also identified a subset of patients with significantly poorer outcome among low-risk node negative patients that did not receive adjuvant systemic therapy (MFS HR 2.3 (P = 0.039), BCSS HR 2.9 (P = 0.017)). Using both tests provided increased prognostic information and indicated different relevance within biologically dissimilar breast cancer subtypes.ConclusionsThese results support the use of CTC analysis in early breast cancer to generate clinically useful prognostic information.


Clinical Cancer Research | 2008

Vascularization in primary breast carcinomas: Its prognostic significance and relationship with tumor cell dissemination

Hari Prasad Dhakal; Bjørn Naume; Marit Synnestvedt; Elin Borgen; Rolf Kaaresen; Ellen Schlichting; Assia Bassarova; Karl Erik Giercksky; Jahn M. Nesland

Purpose: The interaction between tumor cells, stroma, and endothelial cells is important for the dissemination of tumor cells. The aim of the present study is to examine vascularity in primary breast carcinomas and its prognostic significance and relationship with tumor cell dissemination. Experimental Design: A total of 498 invasive breast carcinomas were analyzed. Representative tumor sections were stained for CD34 and CD105, and vascularity was quantified by the Chalkley method. The relationship between Chalkley counts, vascular invasion, disseminated tumor cells (DTC) in the bone marrow, other clinicopathologic variables, and clinical outcome was evaluated. Results: High vascular grades determined by Chalkley counts were significantly associated with shorter distant disease–free survival and breast cancer–specific survival in all patients (P < 0.001, log-rank) and in node-negative patients not receiving adjuvant systemic therapy (P < 0.05). In multivariate analysis, both CD34 and CD105 Chalkley counts showed prognostic significance for distant disease–free survival (P = 0.014 and P = 0.026), whereas CD34 also showed prognostic significance for breast cancer–specific survival (P = 0.007). Vascular invasion and DTCs in the bone marrow showed independent prognostic significance. DTC did not discriminate survival for CD34 low Chalkley counts, whereas a very poor prognosis was observed for DTC-positive patients with high CD34 counts. In node-negative patients not receiving systemic chemotherapy, high CD34 and high CD105 counts in combination identified patients with unfavorable outcome, as opposed to all other CD34/CD105 combinations. Conclusions: Improved identification of risk groups could be obtained by adding CD34 and CD105 vascular analysis to DTC, vascular invasion, and other primary tumor factors. This may facilitate the selection of candidates for adjuvant systemic therapy.


Histopathology | 2012

Expression of vascular endothelial growth factor and vascular endothelial growth factor receptors 1 and 2 in invasive breast carcinoma: prognostic significance and relationship with markers for aggressiveness.

Hari Prasad Dhakal; Bjørn Naume; Marit Synnestvedt; Elin Borgen; Rolf Kaaresen; Ellen Schlichting; Assia Bassarova; Ruth Holm; Karl Erik Giercksky; Jahn M. Nesland

Dhakal H P, Naume B, Synnestvedt M, Borgen E, Kaaresen R, Schlichting E, Wiedswang G, Bassarova A, Holm R, Giercksky K‐E & Nesland J M 
(2012) Histopathology 61, 350–364


Journal of Clinical Oncology | 2014

Clinical Outcome With Correlation to Disseminated Tumor Cell (DTC) Status After DTC-Guided Secondary Adjuvant Treatment With Docetaxel in Early Breast Cancer

Bjørn Naume; Marit Synnestvedt; Ragnhild Sørum Falk; Kjetil Weyde; Terje Risberg; Christian Kersten; Ingvil Mjaaland; Lise Vindi; Hilde H. Sommer; Anna Sætersdal; Maria Christine Rypdal; Cecilie Schirmer; Erik Wist; Elin Borgen

PURPOSE The presence of disseminated tumor cells (DTCs) in bone marrow (BM) predicts survival in early breast cancer. This study explores the use of DTCs for identification of patients insufficiently treated with adjuvant therapy so they can be offered secondary adjuvant treatment and the subsequent surrogate marker potential of DTCs for outcome determination. PATIENTS AND METHODS Patients with early breast cancer who had completed six cycles of adjuvant fluorouracil, epirubicin, and cyclophosphamide (FEC) chemotherapy underwent BM aspiration 2 to 3 months (BM1) and 8 to 9 months (BM2) after FEC. Presence of DTCs in BM was determined by immunocytochemistry using pan-cytokeratin monoclonal antibodies. If one or more DTCs were present at BM2, six cycles of docetaxel (100 mg/m(2), once every 3 weeks) were administered, followed by DTC analysis 1 and 13 months after the last docetaxel infusion (after treatment). Cox regression analysis was used to evaluate disease-free interval (DFI). RESULTS Of 1,066 patients with a DTC result at BM2 and available follow-up information (median follow-up, 71.9 months from the time of BM2), 7.2% were DTC positive. Of 72 docetaxel-treated patients analyzed for DTCs after treatment, 15 (20.8%) had persistent DTCs. Patients with remaining DTCs had markedly reduced DFI (46.7% experienced relapse) compared with patients with no DTCs after treatment (adjusted hazard ratio, 7.58; 95% CI, 2.3 to 24.7). The docetaxel-treated patients with no DTCs after treatment had comparable DFI (8.8% experienced relapse) compared with those with no DTCs both at BM1 and BM2 (12.7% experienced relapse; P = .377, log-rank test). CONCLUSION DTC status identifies high-risk patients after FEC chemotherapy, and DTC monitoring status after secondary treatment with docetaxel correlated strongly with survival. This emphasizes the potential for DTC analysis as a surrogate marker for adjuvant treatment effect in breast cancer.


Acta Oncologica | 2013

Combined analysis of vascular invasion, grade, HER2 and Ki67 expression identifies early breast cancer patients with questionable benefit of systemic adjuvant therapy

Marit Synnestvedt; Elin Borgen; Hege G. Russnes; Neena T. Kumar; Ellen Schlichting; Karl Erik Giercksky; Rolf Kåresen; Jahn M. Nesland; Bjørn Naume

Abstract Introduction. Over-treatment of low-risk early breast cancer patients with adjuvant systemic therapies is an important clinical challenge. Better techniques are required which can be used to distinguish between the large group of patients with no residual disease after surgery and consequently no benefit of adjuvant treatment, from the smaller group with high relapse risk. A better integration of available prognostic factors might contribute to improved prediction of clinical outcome. Material and methods. The current study included 346 unselected pT1pN0 patients who did not receive adjuvant systemic treatment. In Norway, no patients with this stage were recommended systemic treatment at the time of the study (1995–1998). Histological type, tumour size, grade, vascular invasion (VI), hormone receptor (HR) status, HER2 and Ki67 (cut-off 10%) were analysed. Median follow-up was 86 months for relapse and 101 months for death. Results. Thirty-eight patients experienced relapse, 31 with distant metastasis. Twenty-one patients died of breast cancer. In univariate analysis grade, HER2, HR, VI and Ki67 had impact on clinical outcome (p < 0.005, log rank). In multivariate analysis, only grade 1–2 vs. grade 3, HER2, VI, and Ki67 status were significant for disease free survival, distant disease free survival, and/or breast cancer specific survival. These factors were used in combination, to separate patients into groups based on the number of unfavourable factors present [combined prognostic score (CPS) 0–4]. Close to 2/3 of the patients (61.4%) had no unfavourable factor (CPS0), whilst 18.4% had CPS ≥ 2. Only 3.6% of those with CPS0 developed metastasis (p < 0.001). The outcome was clearly worse for patients with CPS ≥ 2 (p < 0.001), systemic relapse was detected in approximately 40%. Conclusions. This study indicates that the combined use of grade, VI, HER2 and Ki67 identifies a subgroup of breast cancer patients with a relapse risk that may question the benefit of adjuvant systemic therapy.


BMC Cancer | 2012

Disseminated tumor cells as selection marker and monitoring tool for secondary adjuvant treatment in early breast cancer. Descriptive results from an intervention study

Marit Synnestvedt; Elin Borgen; Erik Wist; Kjetil Weyde; Terje Risberg; Christian Kersten; Ingvil Mjaaland; Lise Vindi; Cecilie Schirmer; Jahn Martin Nesland; Bjørn Naume

BackgroundPresence of disseminated tumor cells (DTCs) in bone marrow (BM) after completion of systemic adjuvant treatment predicts reduced survival in breast cancer. The present study explores the use of DTCs to identify adjuvant insufficiently treated patients to be offered secondary adjuvant treatment intervention, and as a surrogate marker for therapy response.MethodsA total of 1121 patients with pN1-3 or pT1c/T2G2-3pN0-status were enrolled. All had completed primary surgery and received 6 cycles of anthracycline-containing chemotherapy. BM-aspiration was performed 8-12 weeks after chemotherapy (BM1), followed by a second BM-aspiration 6 months later (BM2). DTC-status was determined by morphological evaluation of immunocytochemically detected cytokeratin-positive cells. If DTCs were present at BM2, docetaxel (100 mg/m2, 3qw, 6 courses) was administered, followed by DTC-analysis 1 month (BM3) and 13 months (BM4) after the last docetaxel infusion.ResultsClinical follow-up (FU) is still ongoing. Here, the descriptive data from the study are presented. Of 1085 patients with a reported DTC result at both BM1 and BM2, 94 patients (8.7%) were BM1 positive and 83 (7.6%) were BM2 positive. The concordance between BM1 and BM2 was 86.5%. Both at BM1 and BM2 DTC-status was significantly associated with lobular carcinomas (p = 0.02 and p = 0.03, respectively; chi-square). In addition, DTC-status at BM2 was also associated with pN-status (p = 0.009) and pT-status (p = 0.03). At BM1 28.8% and 12.8% of the DTC-positive patients had ≥2 DTCs and ≥3 DTCs, respectively. At BM2, the corresponding frequencies were 47.0% and 25.3%. Of 72 docetaxel-treated patients analyzed at BM3 and/or BM4, only 15 (20.8%) had persistent DTCs. Of 17 patients with ≥3 DTCs before docetaxel treatment, 12 patients turned negative after treatment (70.6%). The change to DTC-negativity was associated with the presence of ductal carcinoma (p = 0.009).ConclusionsAfter docetaxel treatment, the majority of patients experienced disappearance of DTCs. As this is not a randomized trial, the results can be due to effects of adjuvant (docetaxel/endocrine/trastuzumab) treatment and/or limitations of the methodology. The clinical significance of these results awaits mature FU data, but indicates a possibility for clinical use of DTC-status as a residual disease-monitoring tool and as a surrogate marker of treatment response.Trial registrationClin Trials Gov NCT00248703


Breast Cancer Research and Treatment | 2017

Prognostic significance of S100A4-expression and subcellular localization in early-stage breast cancer.

Eivind Valen Egeland; Kjetil Boye; Daehoon Park; Marit Synnestvedt; Torill Sauer; Bjørn Naume; Elin Borgen; Gunhild M. Mælandsmo

PurposePrognostic factors are useful in order to identify early-stage breast cancer patients who might benefit from adjuvant treatment. The metastasis-promoting protein S100A4 has previously been associated with poor prognosis in breast cancer patients. The protein is expressed in diverse subcellular compartments, including the cytoplasm, extracellular space, and nucleus. Nuclear expression is an independent predictor of poor outcome in several cancer types, but the significance of subcellular expression has not yet been assessed in breast cancer.MethodsNuclear and cytoplasmic expression of S100A4 was assessed by immunohistochemistry in prospectively collected tumor samples from early-stage breast cancer patients using tissue microarrays.ResultsIn patients not receiving adjuvant systemic therapy, nuclear or cytoplasmic expression was found in 44/291 tumors (15%). Expression of either nuclear or cytoplasmic S100A4 was associated with histological grade III, triple-negative subtype, and Ki-67-expression. Patients with S100A4-positive tumors had inferior metastasis-free and overall survival compared to S100A4-negative. When expression was analyzed separately, nuclear S100A4 was a significant predictor of outcome, while cytoplasmic was not. In patients who received adjuvant treatment 23/300 tumors (8%) were S100A4-positive, but no tumors displayed nuclear staining alone. S100A4-expression was strongly associated with histological grade III and triple-negative subtype. Although not significant, metastasis-free and overall survival was numerically reduced in patients with S100A4-positive tumors.ConclusionS100A4-expression was associated with poor outcome in early-stage breast cancer, but the low percentage of positive tumors and the modest survival differences imply that the clinical utility in selection of patients for adjuvant treatment is limited.

Collaboration


Dive into the Marit Synnestvedt's collaboration.

Top Co-Authors

Avatar

Bjørn Naume

Oslo University Hospital

View shared research outputs
Top Co-Authors

Avatar

Elin Borgen

Oslo University Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge