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Jonas Bergh

Publications and source records attributed to Jonas Bergh.

At least 37 records · Page 2Linked to original sources

Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patients.

BACKGROUND: Molecular markers and the rich biological information they contain have great potential for cancer diagnosis, prognostication and therapy prediction. So far, however, they have not superseded routine histopathology and staging criteria, partly because the few studies performed on molecular subtyping have had little validation and limited clinical characterization. METHODS: We obtained gene expression and clinical data for 412 breast cancers obtained from population-based cohorts of patients from Stockholm and Uppsala, Sweden. Using the intrinsic set of approximately 500 genes derived in the Norway/Stanford breast cancer data, we validated the existence of five molecular subtypes--basal-like, ERBB2, luminal A/B and normal-like--and characterized these subtypes extensively with the use of conventional clinical variables. RESULTS: We found an overall 77.5% concordance between the centroid prediction of the Swedish cohort by using the Norway/Stanford signature and the k-means clustering performed internally within the Swedish cohort. The highest rate of discordant assignments occurred between the luminal A and luminal B subtypes and between the luminal B and ERBB2 subtypes. The subtypes varied significantly in terms of grade (p < 0.001), p53 mutation (p < 0.001) and genomic instability (p = 0.01), but surprisingly there was little difference in lymph-node metastasis (p = 0.31). Furthermore, current users of hormone-replacement therapy were strikingly over-represented in the normal-like subgroup (p < 0.001). Separate analyses of the patients who received endocrine therapy and those who did not receive any adjuvant therapy supported the previous hypothesis that the basal-like subtype responded to adjuvant treatment, whereas the ERBB2 and luminal B subtypes were poor responders. CONCLUSION: We found that the intrinsic molecular subtypes of breast cancer are broadly present in a diverse collection of patients from a population-based cohort in Sweden. The intrinsic gene set, originally selected to reveal stable tumor characteristics, was shown to have a strong correlation with progression-related properties such as grade, p53 mutation and genomic instability.

Breast Neoplasms↗

Sequencing of the tumor suppressor gene TP 53.

The tumour suppressor gene, TP 53 (commonly also called p53) has multiple, important cellular functions involving control of apoptosis, downstream cell cycle regulation via p21 and cyclin dependent kinases, and control of tumour angiogenesis. Somatic mutation of TP 53 is considered to be the most common genetic mutation in human cancer. Mutations of the gene are associated with drug resistance and poor patient prognosis in human cancers. Immunohistochemistry to detect mutated TP 53 is unreliable and molecular biology approaches are therefore preferable for its assessment. This chapter describes protocols for the 'gold standard', but perhaps complex and time consuming, methods for sequencing TP 53, by cDNA and genomic based sequencing techniques.

Genes, p53↗

Coronary heart disease mortality after 5 years of adjuvant tamoxifen therapy: results from a randomized trial.

From January 1, 1983, through December 31, 1992, a total of 4610 patients entered a randomized trial that compared mortality among patients receiving 2 years of adjuvant tamoxifen therapy with that in patients receiving 5 years of adjuvant tamoxifen therapy, 4175 of whom were recurrence free after 2 years of tamoxifen therapy. Among the 2046 patients randomly assigned to the 5-year group all-cause mortality, breast cancer-specific mortality, and the incidence of contralateral breast cancer were reduced, compared with those among 2129 patients randomized in the 2-year group, but the incidence of endometrial cancer was increased. In addition, mortality from coronary heart disease was statistically significantly reduced in the 5-year group, compared with that in the 2-year group (hazard ratio = 0.67, 95% confidence interval = 0.47 to 0.94; P = .022 [two-sided Wald test]). Ten years after surgery, 2.1% of the patients in the 5-year group and 3.5% of those in the 2-year group had died from coronary heart disease. No statistically significant increases in mortality from other heart diseases, cerebrovascular diseases, or other vascular diseases were observed.

Aged↗

Adjuvant chemotherapy for breast cancer--"one fits all"?

Adjuvant breast cancer therapy and early diagnosis will improve breast cancer outcome. The Eurocare studies have demonstrated large differences in breast cancer incidence and mortality in different regions and countries and underlined the importance of access and quality in the management of early disease. So far, the very important survival gains by adjuvant therapy have been obtained by "one fits all"--like strategies, resulting in therapy in vain for many patients and unnecessary therapy for large cohorts. Present adjuvant strategies have focused on group statistical risk analysis, mainly using tumour stage, histological grade and receptor status. Five retrospective studies have revealed a worse outcome for patients receiving adjuvant chemotherapy without toxicity. In one of these studies the breast cancer survival was improved by 10% for patients who received grade 2/3 neutropenia; this is equivalent to the described survival gains by the addition of anthracyclines and taxanes to cyclophosphamide, methotrexate, 5-fluorouracil (CMF) combinations. Prospectively, this has been explored in the Scandinavian Breast Group (SBG) 9401-, SBG 2000-1- and presently in the SBG 2004-1 studies using tailored chemotherapy dosage strategies, aimed at avoiding under-dosage and diminishing acute side effects. For the future, we need several predictive factors for therapy, allowing better and more tailored therapy selections for individuals at risk. The present explorations of tumour RNA expression profiles are most likely to be useful in identifying therapy-predictive profiles for these individuals. Pharmacokinetic and pharmacodynamic data reveal marked differences in effect and tolerance of used drugs. The development of single nucleotide polymorphism technology are also likely to be important for optimising dosing strategies, aiming and increasing the effect, as well as decreasing toxicity. Taken together these strategies will be very different from the present "one fits all" concept.

Antineoplastic Combined Chemotherapy Protocols↗

Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.

INTRODUCTION: Adjuvant breast cancer therapy significantly improves survival, but overtreatment and undertreatment are major problems. Breast cancer expression profiling has so far mainly been used to identify women with a poor prognosis as candidates for adjuvant therapy but without demonstrated value for therapy prediction. METHODS: We obtained the gene expression profiles of 159 population-derived breast cancer patients, and used hierarchical clustering to identify the signature associated with prognosis and impact of adjuvant therapies, defined as distant metastasis or death within 5 years. Independent datasets of 76 treated population-derived Swedish patients, 135 untreated population-derived Swedish patients and 78 Dutch patients were used for validation. The inclusion and exclusion criteria for the studies of population-derived Swedish patients were defined. RESULTS: Among the 159 patients, a subset of 64 genes was found to give an optimal separation of patients with good and poor outcomes. Hierarchical clustering revealed three subgroups: patients who did well with therapy, patients who did well without therapy, and patients that failed to benefit from given therapy. The expression profile gave significantly better prognostication (odds ratio, 4.19; P = 0.007) (breast cancer end-points odds ratio, 10.64) compared with the Elston-Ellis histological grading (odds ratio of grade 2 vs 1 and grade 3 vs 1, 2.81 and 3.32 respectively; P = 0.24 and 0.16), tumor stage (odds ratio of stage 2 vs 1 and stage 3 vs 1, 1.11 and 1.28; P = 0.83 and 0.68) and age (odds ratio, 0.11; P = 0.55). The risk groups were consistent and validated in the independent Swedish and Dutch data sets used with 211 and 78 patients, respectively. CONCLUSION: We have identified discriminatory gene expression signatures working both on untreated and systematically treated primary breast cancer patients with the potential to spare them from adjuvant therapy.

Adult↗

An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Perturbations of the p53 pathway are associated with more aggressive and therapeutically refractory tumors. However, molecular assessment of p53 status, by using sequence analysis and immunohistochemistry, are incomplete assessors of p53 functional effects. We posited that the transcriptional fingerprint is a more definitive downstream indicator of p53 function. Herein, we analyzed transcript profiles of 251 p53-sequenced primary breast tumors and identified a clinically embedded 32-gene expression signature that distinguishes p53-mutant and wild-type tumors of different histologies and outperforms sequence-based assessments of p53 in predicting prognosis and therapeutic response. Moreover, the p53 signature identified a subset of aggressive tumors absent of sequence mutations in p53 yet exhibiting expression characteristics consistent with p53 deficiency because of attenuated p53 transcript levels. Our results show the primary importance of p53 functional status in predicting clinical breast cancer behavior.

Breast Neoplasms↗

Identification of molecular apocrine breast tumours by microarray analysis.

Previous microarray studies on breast cancer identified multiple tumour classes, of which the most prominent, named luminal and basal, differ in expression of the oestrogen receptor alpha gene (ER). We report here the identification of a group of breast tumours with increased androgen signalling and a 'molecular apocrine' gene expression profile. Tumour samples from 49 patients with large operable or locally advanced breast cancers were tested on Affymetrix U133A gene expression microarrays. Principal components analysis and hierarchical clustering split the tumours into three groups: basal, luminal and a group we call molecular apocrine. All of the molecular apocrine tumours have strong apocrine features on histological examination (P=0.0002). The molecular apocrine group is androgen receptor (AR) positive and contains all of the ER-negative tumours outside the basal group. Kolmogorov-Smirnov testing indicates that oestrogen signalling is most active in the luminal group, and androgen signalling is most active in the molecular apocrine group. ERBB2 amplification is commoner in the molecular apocrine than the other groups. Genes that best split the three groups were identified by Wilcoxon test. Correlation of the average expression profile of these genes in our data with the expression profile of individual tumours in four published breast cancer studies suggest that molecular apocrine tumours represent 8-14% of tumours in these studies. Our data show that it is possible with microarray data to divide mammary tumour cells into three groups based on steroid receptor activity: luminal (ER+ AR+), basal (ER- AR-) and molecular apocrine (ER- AR+).

Apocrine Glands↗

Risk of acute myeloid leukemia and myelodysplastic syndrome in trials of adjuvant epirubicin for early breast cancer: correlation with doses of epirubicin and cyclophosphamide.

PURPOSE: We reviewed follow-up of patients treated in 19 randomized trials of adjuvant epirubicin in early breast cancer to determine incidence, risk, and risk factors for subsequent acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). PATIENTS AND METHODS: The patients (N = 9,796) were observed from the start of adjuvant treatment (53,080 patient-years). Cases of AML or MDS (AML/MDS) were reported, with disease characteristics. Incidence and cumulative risk were compared for possible risk factors, for assigned regimens, and for administered cumulative doses of epirubicin and cyclophosphamide. RESULTS: In 7,110 patients treated with epirubicin-containing regimens (92% of whom also received cyclophosphamide), 8-year cumulative probability of AML/MDS was 0.55% (95% CI, 0.33% to 0.78%). The risk of developing AML/MDS increased in relation to planned epirubicin dose per cycle, planned epirubicin dose-intensity, and administered cumulative doses of epirubicin and cyclophosphamide. Patients with administered cumulative doses of both epirubicin and cyclophosphamide not exceeding those used in standard regimens (</= 720 mg/m(2) and </= 6,300 mg/m(2), respectively) had an 8-year cumulative probability of developing AML/MDS of 0.37% (95% CI, 0.13% to 0.61%) compared with 4.97% (95% CI, 2.06% to 7.87%) for patients administered higher cumulative doses of both epirubicin and cyclophosphamide. CONCLUSION: Patients treated with standard cumulative doses of adjuvant epirubicin (</= 720 mg/m(2)) and cyclophosphamide (</= 6,300 mg/m(2)) for early breast cancer have a lower probability of secondary leukemia than patients treated with higher cumulative doses. Increased risk of secondary leukemia must be considered when assessing the potential benefit to risk ratio of higher than standard doses.

Adult↗

Correlation test to assess low-level processing of high-density oligonucleotide microarray data.

BACKGROUND: There are currently a number of competing techniques for low-level processing of oligonucleotide array data. The choice of technique has a profound effect on subsequent statistical analyses, but there is no method to assess whether a particular technique is appropriate for a specific data set, without reference to external data. RESULTS: We analyzed coregulation between genes in order to detect insufficient normalization between arrays, where coregulation is measured in terms of statistical correlation. In a large collection of genes, a random pair of genes should have on average zero correlation, hence allowing a correlation test. For all data sets that we evaluated, and the three most commonly used low-level processing procedures including MAS5, RMA and MBEI, the housekeeping-gene normalization failed the test. For a real clinical data set, RMA and MBEI showed significant correlation for absent genes. We also found that a second round of normalization on the probe set level improved normalization significantly throughout. CONCLUSION: Previous evaluation of low-level processing in the literature has been limited to artificial spike-in and mixture data sets. In the absence of a known gold-standard, the correlation criterion allows us to assess the appropriateness of low-level processing of a specific data set and the success of normalization for subsets of genes.

Algorithms↗

Genetic implications of bilateral breast cancer: a population based cohort study.

BACKGROUND: Women with breast cancer are at high risk of bilateral breast cancer. We aimed to assess the incidence of bilateral breast cancer in relation to age and time since diagnosis of first cancer. METHODS: We analysed a population-based cohort of 123757 women with a first primary breast cancer diagnosed in Sweden from 1970 to 2000 for frequency of bilateral breast cancers and deaths by means of record linkage. Second primary breast cancers were categorised as synchronous bilateral breast cancers if diagnosed within 3 months of the first primary cancer or as metachronous if diagnosed more than 3 months after diagnosis of first primary cancer. FINDINGS: We identified 6550 women who had developed bilateral breast cancer. Age-incidence patterns of synchronous and unilateral breast cancer were similar, although the absolute rates of synchronous bilateral cancer were 50-100 times lower than those of unilateral cancer. A woman aged 80 years or older is at least twice as likely to be diagnosed with synchronous bilateral breast cancer than is a woman younger than 40 years. In the first 20 years after diagnosis of primary breast cancer, incidence of metachronous bilateral cancer decreased from about 800 per 10(5) person-years to 400 per 10(5) person-years in patients diagnosed with primary breast cancer before the age of 45 years, whereas incidence remained at 500-600 per 10(5) person-years in those age 45 years or older at diagnosis. After 30 years' follow-up, cumulative risk of metachronous bilateral breast cancer was about 15% irrespective of age at first primary breast cancer. INTERPRETATION: The higher than expected risk of synchronous bilateral breast cancer could be explained by non-genetic factors. By contrast, incidence of metachronous bilateral cancer fits neither a model of highly penetrant genes nor aggregation of environmental risk factors.

Adult↗

Ductal carcinoma in situ of the breast with different histopathological grades and corresponding new breast tumour events: analysis of loss of heterozygosity.

To compare chromosomal alterations in ductal carcinoma in situ (DCIS) of different histopathological grades and to study aberrations between primary DCIS and corresponding ipsi- or contralateral new in situ or invasive tumours, a study was undertaken of the pattern of loss of heterozygosity (LOH) at chromosomal regions in which LOH has previously been described in invasive breast cancer. LOH was analysed using 19 microsatellite markers located on chromosomes 3p, 6q, 8p, 8q, 9p, 11p, 11q, 16q, 17p, and 17q in 30 women with a primary DCIS. Eleven women with DCIS of grade 1 and 19 with grade 3 according to the EORTC classification system were included. In six patients LOH was also analysed in a subsequent new breast cancer. Fractional allelic loss (FAL, the ratio of chromosomal arms where allelic loss was detected divided by the total number of chromosomal arms with informative markers) was statistically significantly higher in grade 1 DCIS compared with grade 3 (p=0.02) for the 19 loci, indicating that the amount of allelic loss does not correlate with increasing aggressiveness of the studied tumours. Also observed was a complete heterogeneity of LOH in the primary DCIS and their corresponding new events, suggesting that these events probably developed from genetically divergent clones.

Breast Neoplasms↗

Reducing the global breast cancer burden: the importance of patterns of care research.

Breast cancer treatment guidelines are not uniformly followed in clinical practice, with evidence for substantial variations in treatment patterns, quality of care, and patient outcomes among and within countries. The factors that drive treatment decisions are unclear. Furthermore, the impact of different treatment strategies on survival is poorly understood outside the clinical trial setting. Sources of patterns of care information often have limitations in completeness, quality, timeliness of reporting, and relevance to the larger population. Patterns of care studies frequently lack details on cancer stage at diagnosis, tumor biology, and treatment received. It is difficult to compare data between studies and/or track changes over time because of variations in data sources and collection techniques. Thus, the design and implementation of a global registry is sorely needed in order to prospectively evaluate worldwide patterns of care and outcomes in patients with breast cancer. Components of this registry should include random selection of centers of variable practice settings in multiple countries and accurate and rapid data reporting at prestudy and follow-up timepoints. Data collected would include tumor and demographic factors, staging information, treatment rendered, and survival. Variables that influenced the treatment selected would be assessed. This unique international effort would allow the development of strategies to improve diagnostic and treatment-related standards of care and survival outcomes, thus reducing the breast cancer burden worldwide.

Breast Neoplasms↗

Thrombospondin-1 expression in relation to p53 status and VEGF expression in human breast cancers.

The aim of the present study was to study the expression and relationship of potential angiogenic factors. Paraffin-embedded tumour sections from 261 breast cancer patients were stained immunohistochemically for thrombospondin (TSP-1) expression. p53 status was previously determined by cDNA-based sequencing, and vascular endothelial growth factor (VEGF) protein expression had been previously analysed using an immunoassay. 241 cancers (92%) had detectable levels of TSP-1. No associations between TSP-1 and p53 status or VEGF were found. No correlations between TSP-1 and relapse-free (P=0.3), breast cancer-corrected (P=0.2) or overall survival (P=0.5) were found. A correlation was found for patients with p53 mutations, but negative p53 expression, with higher VEGF levels (P=0.009), but there was no correlation between this p53 group and those with low TSP-1 levels (P=0.2). In conclusion, TSP-1 expression was not prognostic and was not associated with neither p53-status or VEGF expression.

Adult↗

Quantitative assessment of skin erythema due to radiotherapy--evaluation of different measurements.

BACKGROUND AND PURPOSE: Visual assessment is the most common clinical investigation of skin reactions in radiotherapy. Due to the unquantitative and subjective nature of this method additional non-invasive methods are needed for more accurate evaluation of the visible acute adverse skin reactions due to radiotherapy. The purpose of this study was to evaluate a new objective measure with regard to reliability and validity and compare it with an established objective measure and a visual assessment. PATIENTS AND METHODS: A sample of 53 consecutive patients commencing curative tangential radiation therapy to the breast parenchyma were included in the study. The skin area of the treated breast was divided into five sections and assessed individually at 0, 24 and 50 Gy. The RTOG scoring system was used for the visual assessment of the skin reactions. The first objective measure included reflectance spectrometry (DermaSpectrometer) measures at fixed points within the treatment area. For the second objective measure digital images (Camera) were taken with a system using a digital camera and software. The images were analyzed using the Adobe Photoshop 5.0 software program. RESULTS: The results provided significant evidence of the test-retest reliability of the camera. The correlation between the objective measures proved to be significant as the treatment progressed. CONCLUSIONS: The results suggest that the camera may be used in a reliable and valid way to measure skin erythema due to radiotherapy.

Adult↗

HER-2/neu (c-erbB-2) evaluation in primary breast carcinoma by fluorescent in situ hybridization and immunohistochemistry with special focus on intratumor heterogeneity and comparison of invasive and in situ components.

We have studied the intratumor HER-2/neu heterogeneity in 78 consecutive and population-based primary invasive breast carcinomas. Within the invasive component, heterogeneity was detected in only 1 of 78 tumors. In 48 tumors (62%), we found both in situ and invasive components in analyzed tissue sections. Twelve of these 48 tumors had a difference of at least 2 arbitrary units in the in situ compared with the invasive part of the tumor with regard to the HER-2/neu status analyzed by HercepTest (immunohistochemistry). Eight of these 12 tumors were reanalyzed with fluorescent in situ hybridization and immunohistochemistry with and without a new Automated Cellular Imaging System. In this limited material, immunohistochemistry in combination with the Automated Cellular Imaging System seemed to have a better correlation with fluorescent in situ hybridization than immunostaining analyzed manually. In conclusion, HER-2/neu expression is not seldom heterogeneous in invasive compared with in situ components within a tumor. This finding should be considered in the choice of evaluation method. To avoid heterogeneity as a confounding factor in HER-2/neu analyses, detection methods such as immunohistochemistry and fluorescent in situ hybridization, which can provide evaluation in a preserved tissue architecture, should be used. Perhaps the intratumor HER-2/neu heterogeneity can explain some of the unexpected failures of trastuzumab therapy.

Breast Neoplasms↗

Overexpression of cyclin E protein is associated with specific mutation types in the p53 gene and poor survival in human breast cancer.

Cyclin E is one of the key regulators of the G(1)/S transition in the cell cycle. Overexpression of cyclin E has been observed in several malignancies and is associated with high proliferation, aberrant expression of other cell cycle regulators and chromosomal instability in vitro. To explore potential associations between cyclin E deregulation and inactivation of the p53 tumor suppressor gene in human breast cancer, we investigated the immunohistochemical expression of cyclin E in paraffin embedded breast cancers from 270 women with known p53 status by cDNA based sequencing of the p53 gene. The breast cancers were divided into three subgroups according to the percentage of cyclin E-positive cells. One hundred and seventy-one patients (63%) had low cyclin E, 72 (27%) medium and 27 (10%) had high cyclin E content. Fifty-six percent (15/27) of the breast cancers with high cyclin E had p53 gene mutations, compared with 14% (24/171) of those with low cyclin E content (P < 0.0001). In p53 mutated breast cancers high cyclin E content was associated with insertions, deletions and nonsense point mutations in the p53 tumor suppressor gene, whereas low cyclin E was linked to p53 missense point mutations. We also observed statistically significant associations between a high cyclin E content and aneuploidy, high S phase, larger tumor size, estrogen receptor negativity, presence of axillary node metastases and high tumor grade. High cyclin E content was associated with poor overall survival in univariate and multivariate analysis (hazard ratio 2.4, 95% confidence interval 1.3-4.5). In summary, our findings demonstrate that overexpression of cyclin E is associated with an aggressive tumor phenotype and specific types of p53 mutations.

Breast Neoplasms↗