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Augustinus A. M. Hart

Bio: Augustinus A. M. Hart is an academic researcher from Netherlands Cancer Institute. The author has contributed to research in topics: Breast cancer & Survival rate. The author has an hindex of 68, co-authored 192 publications receiving 28777 citations.


Papers
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Journal ArticleDOI
31 Jan 2002-Nature
TL;DR: DNA microarray analysis on primary breast tumours of 117 young patients is used and supervised classification is applied to identify a gene expression signature strongly predictive of a short interval to distant metastases (‘poor prognosis’ signature) in patients without tumour cells in local lymph nodes at diagnosis, providing a strategy to select patients who would benefit from adjuvant therapy.
Abstract: Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. The strongest predictors for metastases (for example, lymph node status and histological grade) fail to classify accurately breast tumours according to their clinical behaviour. Chemotherapy or hormonal therapy reduces the risk of distant metastases by approximately one-third; however, 70-80% of patients receiving this treatment would have survived without it. None of the signatures of breast cancer gene expression reported to date allow for patient-tailored therapy strategies. Here we used DNA microarray analysis on primary breast tumours of 117 young patients, and applied supervised classification to identify a gene expression signature strongly predictive of a short interval to distant metastases ('poor prognosis' signature) in patients without tumour cells in local lymph nodes at diagnosis (lymph node negative). In addition, we established a signature that identifies tumours of BRCA1 carriers. The poor prognosis signature consists of genes regulating cell cycle, invasion, metastasis and angiogenesis. This gene expression profile will outperform all currently used clinical parameters in predicting disease outcome. Our findings provide a strategy to select patients who would benefit from adjuvant therapy.

9,664 citations

Journal ArticleDOI
TL;DR: The gene-expression profile studied is a more powerful predictor of the outcome of disease in young patients with breast cancer than standard systems based on clinical and histologic criteria.
Abstract: Background A more accurate means of prognostication in breast cancer will improve the selection of patients for adjuvant systemic therapy. Methods Using microarray analysis to evaluate our previously established 70-gene prognosis profile, we classified a series of 295 consecutive patients with primary breast carcinomas as having a gene-expression signature associated with either a poor prognosis or a good prognosis. All patients had stage I or II breast cancer and were younger than 53 years old; 151 had lymph-node–negative disease, and 144 had lymph-node–positive disease. We evaluated the predictive power of the prognosis profile using univariable and multivariable statistical analyses. Results Among the 295 patients, 180 had a poor-prognosis signature and 115 had a good-prognosis signature, and the mean (±SE) overall 10-year survival rates were 54.6±4.4 percent and 94.5±2.6 percent, respectively. At 10 years, the probability of remaining free of distant metastases was 50.6±4.5 percent in the group with a...

5,902 citations

Journal ArticleDOI
27 Jun 2007-JAMA
TL;DR: In young adulthood, a substantial proportion of childhood cancer survivors already has a high or severe burden of disease, particularly after radiotherapy, which underscores the need for lifelong risk-stratified medical surveillance of Childhood cancer survivors.
Abstract: ContextImproved survival of children with cancer has been accompanied by multiple treatment-related complications. However, most studies in survivors of childhood cancer focused on only 1 late effect.ObjectiveTo assess the total burden of adverse health outcomes (clinical or subclinical disorders [“adverse events”]) following childhood cancer in a large cohort of childhood cancer survivors with long-term and complete medical follow-up.Design, Setting, and PopulationRetrospective cohort study of 1362 five-year survivors of childhood cancer treated in a single institution in the Netherlands between 1966 and 1996. All survivors were invited to a late-effects clinic for medical assessment of adverse events. Adverse events occurring before January 2004 were graded for severity in a standardized manner.Main Outcome MeasuresTreatment-specific prevalence of adverse events (according to severity) at end of follow-up and relative risk of high or severe burden of disease (≥2 severe or ≥1 life-threatening or disabling adverse events) associated with various treatments.ResultsMedical follow-up was complete for 94.3% of survivors (median follow-up, 17.0 years). The median attained age at end of follow-up was 24.4 years. Almost 75% of survivors had 1 or more adverse events, and 24.6% had 5 or more adverse events. Furthermore, 40% of survivors had at least 1 severe or life-threatening or disabling adverse event. A high or severe burden of adverse events was observed in 55% of survivors who received radiotherapy only and 15% of survivors treated with chemotherapy only, compared with 25% of survivors who had surgery only (adjusted relative risks, 2.18 [95% confidence interval, 1.62–2.95] and 0.65 [95% confidence interval, 0.46–0.90], respectively). A high or severe burden of adverse events was most often observed in survivors of bone tumors (64%) and least often in survivors of leukemia or Wilms tumor (12% each).ConclusionsIn young adulthood, a substantial proportion of childhood cancer survivors already has a high or severe burden of disease, particularly after radiotherapy. This underscores the need for lifelong risk-stratified medical surveillance of childhood cancer survivors.

769 citations

Journal ArticleDOI
01 Mar 2007-Blood
TL;DR: Risks of several CVDs are 3- to 5-fold increased in survivors of HL compared with the general population, even after prolonged follow-up, leading to increasing absolute excess risks over time.

655 citations

Journal ArticleDOI
TL;DR: A retrospective clinico-pathological study has been carried out in patients with squamous cell carcinoma of the head and neck who underwent a total of 484 radical neck dissections, finding histological extra-nodal spread to be the most important single prognostic factor.
Abstract: A retrospective clinico-pathological study has been carried out in a series of 405 patients with squamous cell carcinoma of the head and neck who underwent a total of 484 radical neck dissections. The recurrence rate in the neck in 327 patients who had histological positive nodes was 21.1%. Recurrence in the neck after a standard radical neck dissection almost invariably proved fatal. A statistical analysis has been carried out to evaluate the clinical and pathological factors which are of importance in regards to recurrence in the neck. Histological factors such as extra-nodal spread and the number of histological positive nodes have been shown to be of much more prognostic importance than clinical parameters. When corrections are made for interdependencies between variables, histological extra-nodal spread proved to be the most important single prognostic factor (P less than 10(-7)).

444 citations


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Journal ArticleDOI
04 Oct 2012-Nature
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
Abstract: We analysed primary breast cancers by genomic DNA copy number arrays, DNA methylation, exome sequencing, messenger RNA arrays, microRNA sequencing and reverse-phase protein arrays. Our ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity. Somatic mutations in only three genes (TP53, PIK3CA and GATA3) occurred at >10% incidence across all breast cancers; however, there were numerous subtype-associated and novel gene mutations including the enrichment of specific mutations in GATA3, PIK3CA and MAP3K1 with the luminal A subtype. We identified two novel protein-expression-defined subgroups, possibly produced by stromal/microenvironmental elements, and integrated analyses identified specific signalling pathways dominant in each molecular subtype including a HER2/phosphorylated HER2/EGFR/phosphorylated EGFR signature within the HER2-enriched expression subtype. Comparison of basal-like breast tumours with high-grade serous ovarian tumours showed many molecular commonalities, indicating a related aetiology and similar therapeutic opportunities. The biological finding of the four main breast cancer subtypes caused by different subsets of genetic and epigenetic abnormalities raises the hypothesis that much of the clinically observable plasticity and heterogeneity occurs within, and not across, these major biological subtypes of breast cancer.

9,355 citations

Journal ArticleDOI
Robert H. Waterston1, Kerstin Lindblad-Toh2, Ewan Birney, Jane Rogers3  +219 moreInstitutions (26)
05 Dec 2002-Nature
TL;DR: The results of an international collaboration to produce a high-quality draft sequence of the mouse genome are reported and an initial comparative analysis of the Mouse and human genomes is presented, describing some of the insights that can be gleaned from the two sequences.
Abstract: The sequence of the mouse genome is a key informational tool for understanding the contents of the human genome and a key experimental tool for biomedical research. Here, we report the results of an international collaboration to produce a high-quality draft sequence of the mouse genome. We also present an initial comparative analysis of the mouse and human genomes, describing some of the insights that can be gleaned from the two sequences. We discuss topics including the analysis of the evolutionary forces shaping the size, structure and sequence of the genomes; the conservation of large-scale synteny across most of the genomes; the much lower extent of sequence orthology covering less than half of the genomes; the proportions of the genomes under selection; the number of protein-coding genes; the expansion of gene families related to reproduction and immunity; the evolution of proteins; and the identification of intraspecies polymorphism.

6,643 citations

Journal ArticleDOI
Jean Paul Thiery1
TL;DR: Epithelial–mesenchymal transition provides a new basis for understanding the progression of carcinoma towards dedifferentiated and more malignant states.
Abstract: Without epithelial–mesenchymal transitions, in which polarized epithelial cells are converted into motile cells, multicellular organisms would be incapable of getting past the blastula stage of embryonic development. However, this important developmental programme has a more sinister role in tumour progression. Epithelial–mesenchymal transition provides a new basis for understanding the progression of carcinoma towards dedifferentiated and more malignant states.

6,362 citations

Journal ArticleDOI
TL;DR: The gene-expression profile studied is a more powerful predictor of the outcome of disease in young patients with breast cancer than standard systems based on clinical and histologic criteria.
Abstract: Background A more accurate means of prognostication in breast cancer will improve the selection of patients for adjuvant systemic therapy. Methods Using microarray analysis to evaluate our previously established 70-gene prognosis profile, we classified a series of 295 consecutive patients with primary breast carcinomas as having a gene-expression signature associated with either a poor prognosis or a good prognosis. All patients had stage I or II breast cancer and were younger than 53 years old; 151 had lymph-node–negative disease, and 144 had lymph-node–positive disease. We evaluated the predictive power of the prognosis profile using univariable and multivariable statistical analyses. Results Among the 295 patients, 180 had a poor-prognosis signature and 115 had a good-prognosis signature, and the mean (±SE) overall 10-year survival rates were 54.6±4.4 percent and 94.5±2.6 percent, respectively. At 10 years, the probability of remaining free of distant metastases was 50.6±4.5 percent in the group with a...

5,902 citations

Journal ArticleDOI
TL;DR: The recurrence score has been validated as quantifying the likelihood of distant recurrence in tamoxifen-treated patients with node-negative, estrogen-receptor-positive breast cancer and could be used as a continuous function to predict distant recurrent in individual patients.
Abstract: background The likelihood of distant recurrence in patients with breast cancer who have no involved lymph nodes and estrogen-receptor–positive tumors is poorly defined by clinical and histopathological measures. methods We tested whether the results of a reverse-transcriptase–polymerase-chain-reaction (RT-PCR) assay of 21 prospectively selected genes in paraffin-embedded tumor tissue would correlate with the likelihood of distant recurrence in patients with node-negative, tamoxifen-treated breast cancer who were enrolled in the National Surgical Adjuvant Breast and Bowel Project clinical trial B-14. The levels of expression of 16 cancerrelated genes and 5 reference genes were used in a prospectively defined algorithm to calculate a recurrence score and to determine a risk group (low, intermediate, or high) for each patient. results Adequate RT-PCR profiles were obtained in 668 of 675 tumor blocks. The proportions of patients categorized as having a low, intermediate, or high risk by the RT-PCR assay were 51, 22, and 27 percent, respectively. The Kaplan–Meier estimates of the rates of distant recurrence at 10 years in the low-risk, intermediate-risk, and high-risk groups were 6.8 percent (95 percent confidence interval, 4.0 to 9.6), 14.3 percent (95 percent confidence interval, 8.3 to 20.3), and 30.5 percent (95 percent confidence interval, 23.6 to 37.4). The rate in the low-risk group was significantly lower than that in the high-risk group (P<0.001). In a multivariate Cox model, the recurrence score provided significant predictive power that was independent of age and tumor size (P<0.001). The recurrence score was also predictive of overall survival (P<0.001) and could be used as a continuous function to predict distant recurrence in individual patients. conclusions The recurrence score has been validated as quantifying the likelihood of distant recurrence in tamoxifen-treated patients with node-negative, estrogen-receptor–positive breast cancer.

5,685 citations