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1.
ESMO Open ; 9(3): 102923, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38452438

ABSTRACT

BACKGROUND: In the absence of prognostic biomarkers, most patients with early-stage triple-negative breast cancer (eTNBC) are treated with combination chemotherapy. The identification of biomarkers to select patients for whom treatment de-escalation or escalation could be considered remains an unmet need. We evaluated the prognostic value of histopathologic traits in a unique cohort of young, (neo)adjuvant chemotherapy-naïve patients with early-stage (stage I or II), node-negative TNBC and long-term follow-up, in relation to stromal tumor-infiltrating lymphocytes (sTILs) for which the prognostic value was recently reported. MATERIALS AND METHODS: We studied all 485 patients with node-negative eTNBC from the population-based PARADIGM cohort which selected women aged <40 years diagnosed between 1989 and 2000. None of the patients had received (neo)adjuvant chemotherapy according to standard practice at the time. Associations between histopathologic traits and breast cancer-specific survival (BCSS) were analyzed with Cox proportional hazard models. RESULTS: With a median follow-up of 20.0 years, an independent prognostic value for BCSS was observed for lymphovascular invasion (LVI) [adjusted (adj.) hazard ratio (HR) 2.35, 95% confidence interval (CI) 1.49-3.69], fibrotic focus (adj. HR 1.61, 95% CI 1.09-2.37) and sTILs (per 10% increment adj. HR 0.75, 95% CI 0.69-0.82). In the sTILs <30% subgroup, the presence of LVI resulted in a higher cumulative incidence of breast cancer death (at 20 years, 58%; 95% CI 41% to 72%) compared with when LVI was absent (at 20 years, 32%; 95% CI 26% to 39%). In the ≥75% sTILs subgroup, the presence of LVI might be associated with poor survival (HR 11.45, 95% CI 0.71-182.36, two deaths). We confirm the lack of prognostic value of androgen receptor expression and human epidermal growth factor receptor 2 -low status. CONCLUSIONS: sTILs, LVI and fibrotic focus provide independent prognostic information in young women with node-negative eTNBC. Our results are of importance for the selection of patients for de-escalation and escalation trials.


Subject(s)
Triple Negative Breast Neoplasms , Humans , Female , Prognosis , Triple Negative Breast Neoplasms/drug therapy , Triple Negative Breast Neoplasms/pathology , Lymphocytes, Tumor-Infiltrating/metabolism , Lymphocytes, Tumor-Infiltrating/pathology , Biomarkers, Tumor , Chemotherapy, Adjuvant
2.
BMC Med Res Methodol ; 22(1): 316, 2022 12 12.
Article in English | MEDLINE | ID: mdl-36510134

ABSTRACT

BACKGROUND: Clinical prediction models are often not evaluated properly in specific settings or updated, for instance, with information from new markers. These key steps are needed such that models are fit for purpose and remain relevant in the long-term. We aimed to present an overview of methodological guidance for the evaluation (i.e., validation and impact assessment) and updating of clinical prediction models. METHODS: We systematically searched nine databases from January 2000 to January 2022 for articles in English with methodological recommendations for the post-derivation stages of interest. Qualitative analysis was used to summarize the 70 selected guidance papers. RESULTS: Key aspects for validation are the assessment of statistical performance using measures for discrimination (e.g., C-statistic) and calibration (e.g., calibration-in-the-large and calibration slope). For assessing impact or usefulness in clinical decision-making, recent papers advise using decision-analytic measures (e.g., the Net Benefit) over simplistic classification measures that ignore clinical consequences (e.g., accuracy, overall Net Reclassification Index). Commonly recommended methods for model updating are recalibration (i.e., adjustment of intercept or baseline hazard and/or slope), revision (i.e., re-estimation of individual predictor effects), and extension (i.e., addition of new markers). Additional methodological guidance is needed for newer types of updating (e.g., meta-model and dynamic updating) and machine learning-based models. CONCLUSION: Substantial guidance was found for model evaluation and more conventional updating of regression-based models. An important development in model evaluation is the introduction of a decision-analytic framework for assessing clinical usefulness. Consensus is emerging on methods for model updating.


Subject(s)
Models, Statistical , Humans , Calibration , Prognosis
3.
Ann Oncol ; 33(3): 310-320, 2022 03.
Article in English | MEDLINE | ID: mdl-34861376

ABSTRACT

BACKGROUND: Adjuvant systemic treatments (AST) reduce mortality, but have associated short- and long-term toxicities. Careful selection of patients likely to benefit from AST is needed. We evaluated outcome of low-risk breast cancer patients of the EORTC 10041/BIG 3-04 MINDACT trial who received no AST. PATIENTS AND METHODS: Patients with estrogen receptor-positive, HER2-negative, lymph node-negative tumors ≤2 cm who received no AST were matched 1 : 1 to patients with similar tumor characteristics treated with adjuvant endocrine therapy (ET), using propensity score matching and exact matching on age, genomic risk (70-gene signature) and grade. In a post hoc analysis, distant metastasis-free interval (DMFI) and overall survival (OS) were assessed by Kaplan-Meier analysis and hazard ratios (HR) by Cox regression. Cumulative incidences of locoregional recurrence (LRR) and contralateral breast cancer (CBC) were assessed with competing risk analyses. RESULTS: At 8 years, DMFI rates were 94.8% [95% confidence interval (CI) 92.7% to 96.9%] in 509 patients receiving no AST, and 97.3% (95% CI 95.8% to 98.8%) in 509 matched patients who received only ET [absolute difference: 2.5%, HR 0.56 (95% CI 0.30-1.03)]. No statistically significant difference was seen in 8-year OS rates, 95.4% (95% CI 93.5% to 97.4%) in patients receiving no AST and 95.6% (95% CI 93.8% to 97.5%) in patients receiving only ET [absolute difference: 0.2%, HR 0.86 (95% CI 0.53-1.41)]. Cumulative incidence rates of LRR and CBC were 4.7% (95% CI 3.0% to 7.0%) and 4.6% (95% CI 2.9% to 6.9%) in patients receiving no AST versus 1.4% (95% CI 0.6% to 2.9%) and 1.5% (95% CI 0.6% to 3.1%) in patients receiving only ET. CONCLUSIONS: In patients with stage I low-risk breast cancer, the effect of ET on DMFI was limited, but overall significantly fewer breast cancer events were observed in patients who received ET, after the relatively short follow-up of 8 years. These benefits and side-effects of ET should be discussed with all patients, even those at a very low risk of distant metastasis.


Subject(s)
Breast Neoplasms , Breast Neoplasms/pathology , Chemotherapy, Adjuvant , Combined Modality Therapy , Female , Humans , Kaplan-Meier Estimate , Neoplasm Recurrence, Local/pathology , Receptor, ErbB-2/genetics , Receptors, Estrogen/genetics , Treatment Outcome
4.
Breast Cancer Res Treat ; 189(2): 399-410, 2021 Sep.
Article in English | MEDLINE | ID: mdl-34191200

ABSTRACT

PURPOSE: Studies have shown that screen detection by national screening programs is independently associated with better prognosis of breast cancer. The aim of this study is to evaluate the association between tumor biology according to the 70-gene signature (70-GS) and survival of patients with screen-detected and interval breast cancers. METHODS: All Dutch breast cancer patients enrolled in the MINDACT trial (EORTC-10041/BIG3-04) accrued 2007-2011, who participated in the national screening program (biennial screening, ages 50-75) were included (n = 1102). Distant Metastasis-Free Interval (DMFI) was evaluated according to the 70-GS for patients with screen-detected (n = 754) and interval cancers (n = 348). RESULTS: Patients with screen-detected cancers had 8-year DMFI rates of 98.2% for 70-GS ultralow-, 94.6% for low-, and 93.8% for high-risk tumors (p = 0.4). For interval cancers, there was a significantly lower 8-year DMFI rate for patients with 70-GS high-risk tumors (85.2%) compared to low- (92.2%) and ultralow-risk tumors (97.4%, p = 0.0023). Among patients with 70-GS high-risk tumors, a significant difference in 8-year DMFI rate was observed between interval (85.2%, n = 166) versus screen-detected cancers (93.8%, n = 238; p = 0.002) with a HR of 2.3 (95%CI 1.2-4.4, p = 0.010) adjusted for clinical-pathological characteristics and adjuvant systemic treatment. CONCLUSION: Among patients with 70-GS high-risk tumors, a significant difference in DMFI was observed between screen-detected and interval cancers, suggesting that method of detection is an additional prognostic factor in this subgroup and should be taken into account when deciding on adjuvant treatment strategies.


Subject(s)
Breast Neoplasms , Aged , Breast Neoplasms/diagnosis , Breast Neoplasms/epidemiology , Breast Neoplasms/genetics , Early Detection of Cancer , Female , Guanine Nucleotide Exchange Factors , Humans , Mammography , Mass Screening , Middle Aged , Prognosis
5.
Opt Express ; 27(4): 4976-4989, 2019 Feb 18.
Article in English | MEDLINE | ID: mdl-30876105

ABSTRACT

We theoretically investigate a new class of silicon waveguides for achieving Stimulated Brillouin Scattering (SBS) in the mid-infrared (MIR). The waveguide consists of a rectangular core supporting a low-loss optical mode, suspended in air by a series of transverse ribs. The ribs are patterned to form a finite quasi-one-dimensional phononic crystal, with the complete stopband suppressing the transverse leakage of acoustic waves, confining them to the core of the waveguide. We derive a theoretical formalism that can be used to compute the opto-acoustic interaction in such periodic structures, and find forward intramodal-SBS gains up to 1750 m-1W-1, which compares favorably with the proposed MIR SBS designs based on buried germanium waveguides. This large gain is achieved thanks to the nearly complete suppression of acoustic radiative losses.

6.
Eur J Cancer ; 101: 134-142, 2018 09.
Article in English | MEDLINE | ID: mdl-30059817

ABSTRACT

BACKGROUND: The incidence of ductal carcinoma in situ (DCIS) has drastically increased over the past decades. Because DCIS is resected after diagnosis similar to invasive breast cancer, the natural cause and behaviour of DCIS is not well known. We aimed to determine breast cancer-specific survival (BCSS) and overall survival (OS) according to grade in DCIS patients after surgical treatment in the Netherlands. PATIENTS AND METHODS: All DCIS patients diagnosed between 1999 and 2012 were selected from the Netherlands Cancer Registry. The cause of death was obtained from 'Statistics Netherlands'. BCSS and OS were estimated using multivariable Cox regression in the entire cohort and stratified for grades. RESULTS: In total, 12,256 patients were included, of whom 1509 (12.3%) presented with grade I, 3675 (30.0%) with grade II, 6064 (49.5%) with grade III and 1008 (8.2%) with an unknown grade. During a median follow-up of 7.8 years, 1138 (9.3%) deaths were observed, and 179 (1.5%) were breast cancer-related. Of these, 10 patients had grade I; 46 grade II; 95 grade III and 28 an unknown grade. After adjustment for confounding, grade II and III were related to worse BCSS than grade I with hazard ratios of 1.92 (95% confidence interval [CI]: 0.97-3.81) and 2.14 (95% CI: 1.11-4.12), respectively. No association between grades and OS was observed. CONCLUSION: BCSS and OS in DCIS patients were excellent. Because superior rates were observed for low-grade DCIS, it seems justified to investigate whether active surveillance may be a balanced alternative for conventional surgical treatment.


Subject(s)
Breast Neoplasms/pathology , Breast/pathology , Carcinoma, Ductal, Breast/pathology , Carcinoma, Intraductal, Noninfiltrating/pathology , Aged , Breast Neoplasms/mortality , Carcinoma, Ductal, Breast/mortality , Carcinoma, Intraductal, Noninfiltrating/mortality , Cohort Studies , Female , Humans , Kaplan-Meier Estimate , Middle Aged , Neoplasm Grading , Netherlands , Population Surveillance/methods , Proportional Hazards Models , Registries/statistics & numerical data , Survival Rate
8.
BMC Public Health ; 17(1): 510, 2017 05 25.
Article in English | MEDLINE | ID: mdl-28545416

ABSTRACT

BACKGROUND: With an estimated 13,000 newly diagnosed patients per year, nasopharyngeal carcinoma (NPC) is one of the most common types of cancer in males in Indonesia. Moreover, most patients are diagnosed at an advanced stage of the disease. This study aimed to explore the health behaviors of patients diagnosed with NPC and the possible causes of patient delay in NPC diagnosis. METHODS: A qualitative research method was used to gain better insight into patient behaviors. Twelve patients were interviewed using semi-structured interview guidelines. All interviews were recorded, transcribed verbatim and analyzed according to a standard content analysis framework. RESULTS: Most patients had limited knowledge regarding NPC and its causes. Fifty percent of the patients had a delay of six months from the onset of symptoms to diagnosis. The main reason for this delay was the lack of awareness among the patients, which was influenced by their environment, economic status, family, culture, and religion. The perceived barriers to seeking medical help included direct non-medical costs not covered by health insurance, complex and time-consuming insurance and referral systems, and negative experiences in the past. Health insurance did motivate people to seek medical help. CONCLUSION: This study provides additional insight into patients' motivations to delay seeking medical help and can facilitate the design of NPC education programs. To improve awareness of the abovementioned causes for delay, community-based education programs are highly warranted and should focus on the recognition of NPC symptoms and possible solutions to overcome the main barriers at an earlier disease stage.


Subject(s)
Carcinoma/diagnosis , Delayed Diagnosis/psychology , Health Behavior , Nasopharyngeal Neoplasms/diagnosis , Adult , Female , Health Knowledge, Attitudes, Practice , Humans , Indonesia , Male , Middle Aged , Motivation , Nasopharyngeal Carcinoma , Qualitative Research
9.
Eur J Cancer ; 75: 5-13, 2017 04.
Article in English | MEDLINE | ID: mdl-28214658

ABSTRACT

BACKGROUND: Reproductive and lifestyle factors influence both breast cancer risk and prognosis; this might be through breast cancer subtype. Subtypes defined by immunohistochemical hormone receptor markers and gene expression signatures are used to predict prognosis of breast cancer patients based on their tumour biology. We investigated the association between established breast cancer risk factors and the 70-gene prognostication signature in breast cancer patients. PATIENTS AND METHODS: Standardised questionnaires were used to obtain information on established risk factors of breast cancer from the Dutch patients of the MINDACT trial. Clinical-pathological and genomic information were obtained from the trial database. Logistic regression analyses were used to estimate the associations between lifestyle risk factors and tumour prognostic subtypes, measured by the 70-gene MammaPrint® signature (i.e. low-risk or high-risk tumours). RESULTS: Of the 1555 breast cancer patients included, 910 had low-risk and 645 had high-risk tumours. Current body mass index (BMI), age at menarche, age at first birth, age at menopause, hormonal contraceptive use and hormone replacement therapy use were not associated with MammaPrint®. In parous women, higher parity was associated with a lower risk (OR: 0.75, [95% confidence interval {CI}: 0.59-0.95] P = 0.018) and longer breastfeeding duration with a higher risk (OR: 1.03, [95% CI: 1.01-1.05] P = 0.005) of developing high-risk tumours; risk estimates were similar within oestrogen receptor-positive disease. After stratifying by menopausal status, the associations remained present in post-menopausal women. CONCLUSION: Using prognostic gene expression profiles, we have indications that specific reproductive factors may be associated with prognostic tumour subtypes beyond hormone receptor status.


Subject(s)
Breast Neoplasms/etiology , Life Style , Reproduction/physiology , Adolescent , Adult , Age of Onset , Aged , Breast Feeding , Breast Neoplasms/physiopathology , Contraceptives, Oral, Hormonal/adverse effects , Female , Gene Expression Profiling , Humans , Menarche , Menopause , Middle Aged , Parity , Pregnancy , Prognosis , Receptors, Estrogen/metabolism , Risk Factors , Young Adult
10.
PLoS One ; 11(3): e0151899, 2016.
Article in English | MEDLINE | ID: mdl-27030990

ABSTRACT

PURPOSE: In Yogyakarta, nasopharyngeal carcinoma (NPC) shows a poor response to radiotherapy treatment. Previous study showed a prolonged overall treatment time (OTT), due to interruptions during treatment. This study explores the association between clinical outcome and OTT. Secondary, the relation between clinical outcome and disease stage, waiting time to radiation (WT) and chemotherapy schedule was explored. METHODS: In this retrospective cohort, 142 patients who started curative intent radiotherapy for NPC between March 2009 and May 2014, with or without chemotherapy, were included. The median follow up time was 1.9 years. Data was collected on WT, OTT, disease stage, and chemotherapy schedule. Time factors were log-transformed. Clinical outcome was defined as therapy response, loco-regional control (LRC), disease free survival (DFS) and overall survival (OS). RESULTS: The median WT was 117 days (range 12-581) and OTT was 58 days (43-142). OTT and disease stage were not associated to any of the clinical outcome parameters. The log-WT was associated to poor therapy outcome (HR 1.68; 95% ci: 1.09-2.61), LRC (HR 1.66; 95% ci: 1.15-2.39), and DFS (HR 1.4; 95% ci: 1.09-1.81). In the multivariable analysis, significant hazard risk for poor therapy response, LRC, DFS and OS were seen for patients who didn't received concurrent chemotherapy. CONCLUSION: Not receiving concurrent chemotherapy showed the strongest risk for poor outcome. Since the choice of chemotherapy is related to a variety of factors, like the WT and patient's physical condition when radiation can start, careful interpretation is needed. Reason for not finding a relation between OTT and clinical outcome might be the low number of patients who finished radiotherapy within 7 weeks, or by a stronger detrimental effect of other factors.


Subject(s)
Head and Neck Neoplasms/radiotherapy , Nasopharyngeal Neoplasms/radiotherapy , Carcinoma , Disease-Free Survival , Female , Head and Neck Neoplasms/mortality , Head and Neck Neoplasms/pathology , Humans , Logistic Models , Male , Multivariate Analysis , Nasopharyngeal Carcinoma , Nasopharyngeal Neoplasms/mortality , Nasopharyngeal Neoplasms/pathology , Neoplasm Staging , Proportional Hazards Models , Radiotherapy Dosage , Retrospective Studies , Survival Rate
11.
PLoS One ; 11(3): e0152509, 2016.
Article in English | MEDLINE | ID: mdl-27028128

ABSTRACT

BACKGROUND: Despite much debate, there is little evidence on consequences of consent procedures for residual tissue use. Here, we investigated these consequences for the availability of residual tissue for medical research, clinical practice, and patient informedness. METHODS: We conducted a randomised clinical trial with three arms in six hospitals. Participants, patients from whom tissue had been removed for diagnosis or treatment, were randomised to one of three arms: informed consent, an opt-out procedure with active information provision (opt-out plus), and an opt-out procedure without active information provision. Participants received a questionnaire six weeks post-intervention; a subsample of respondents was interviewed. Health care providers completed a pre- and post-intervention questionnaire. We assessed percentage of residual tissue samples available for medical research, and patient and health care provider satisfaction and preference. Health care providers and outcome assessors could not be blinded. RESULTS: We randomised 1,319 patients, 440 in the informed consent, 434 in the opt-out plus, and 445 in the opt-out arm; respectively 60.7%, 100%, and 99.8% of patients' tissue samples could be used for medical research. Of the questionnaire respondents (N = 224, 207, and 214 in the informed consent, opt-out plus, and opt-out arms), 71%, 69%, and 31%, respectively, indicated being (very) well informed. By questionnaire, the majority (53%) indicated a preference for informed consent, whereas by interview, most indicated a preference for opt-out plus (37%). Health care providers (N = 35) were more likely to be (very) satisfied with opt-out plus than with informed consent (p = 0.002) or opt-out (p = 0.039); the majority (66%) preferred opt-out plus. CONCLUSION: We conclude that opt-out with information (opt-out plus) is the best choice to balance the consequences for medical research, patients, and clinical practice, and is therefore the most optimal consent procedure for residual tissue use in Dutch hospitals. TRIAL REGISTRATION: Dutch Trial Register NTR2982.


Subject(s)
Biomedical Research , Surveys and Questionnaires , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Netherlands
12.
Fam Cancer ; 14(3): 355-63, 2015 Sep.
Article in English | MEDLINE | ID: mdl-25700605

ABSTRACT

It is expected that rapid genetic counseling and testing (RGCT) will lead to increasing numbers of breast cancer (BC) patients knowing their BRCA1/2 carrier status before primary surgery. Considering the potential impact of knowing one's status on uptake and timing of risk-reducing contralateral mastectomy (RRCM), we aimed to evaluate trends over time in RRCM, and differences between carriers identified either before (predictively) or after (diagnostically) diagnosis. We collected data from female BRCA1/2 mutation carriers diagnosed with BC between 1995 and 2009 from four Dutch university hospitals. We compared the timing of genetic testing and RRCM in relation to diagnosis in 1995-2000 versus 2001-2009 for all patients, and predictively and diagnostically tested patients separately. Of 287 patients, 219 (76%) had a diagnostic BRCA1/2 test. In this cohort, the median time from diagnosis to DNA testing decreased from 28 months for those diagnosed between 1995 and 2000 to 14 months for those diagnosed between 2001 and 2009 (p < 0.001). Similarly, over time women in this cohort underwent RRCM sooner after diagnosis (median of 77 vs. 27 months, p = 0.05). Predictively tested women who subsequently developed BC underwent an immediate RRCM significantly more often than women who had a diagnostic test (21/61, 34%, vs. 13/170, 7.6 %, p < 0.001). Knowledge of carrying a BRCA1/2 mutation when diagnosed with BC influenced decisions concerning primary surgery. Additionally, in more recent years, women who had not undergone predictive testing were more likely to undergo diagnostic DNA testing and RRCM sooner after diagnosis. This suggests the need for RGCT to guide treatment decisions.


Subject(s)
BRCA1 Protein/genetics , BRCA2 Protein/genetics , Breast Neoplasms/genetics , Breast Neoplasms/prevention & control , Mastectomy/statistics & numerical data , Adult , Aged , Breast Neoplasms/surgery , Cohort Studies , Female , Genetic Counseling/statistics & numerical data , Genetic Testing/statistics & numerical data , Heterozygote , Humans , Middle Aged , Mutation , Netherlands , Retrospective Studies , Risk Factors , Time Factors , Young Adult
13.
Phys Chem Chem Phys ; 16(19): 9015-22, 2014 May 21.
Article in English | MEDLINE | ID: mdl-24695542

ABSTRACT

Fluorescence imaging of hybrid nanostructures composed of a bacterial light-harvesting complex LH2 and Au nanorods with controlled coupling strength is employed to study the spectral dependence of the plasmon-induced fluorescence enhancement. Perfect matching of the plasmon resonances in the nanorods with the absorption bands of the LH2 complexes facilitates a direct comparison of the enhancement factors for longitudinal and transverse plasmon frequencies of the nanorods. We find that the fluorescence enhancement due to excitation of longitudinal resonance can be up to five-fold stronger than for the transverse one. We attribute this result, which is important for designing plasmonic functional systems, to a very different distribution of the enhancement of the electric field due to the excitation of the two characteristic plasmon modes in nanorods.


Subject(s)
Fluorescence , Gold/chemistry , Light-Harvesting Protein Complexes/chemistry , Nanotubes/chemistry , Gold/metabolism , Light-Harvesting Protein Complexes/metabolism
14.
Breast Cancer Res Treat ; 145(3): 697-705, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24760482

ABSTRACT

Clinical guidelines for breast cancer treatment differ in their selection of patients at a high risk of recurrence who are eligible to receive adjuvant systemic treatment (AST). The 70-gene signature is a molecular tool to better guide AST decisions. The aim of this study was to evaluate whether adding the 70-gene signature to clinical risk prediction algorithms can optimize outcome prediction and consequently treatment decisions in early stage, node-negative breast cancer patients. A 70-gene signature was available for 427 patients participating in the RASTER study (cT1-3N0M0). Median follow-up was 61.6 months. Based on 5-year distant-recurrence free interval (DRFI) probabilities survival areas under the curve (AUC) were calculated and compared for risk estimations based on the six clinical risk prediction algorithms: Adjuvant! Online (AOL), Nottingham Prognostic Index (NPI), St. Gallen (2003), the Dutch National guidelines (CBO 2004 and NABON 2012), and PREDICT plus. Also, survival AUC were calculated after adding the 70-gene signature to these clinical risk estimations. Systemically untreated patients with a high clinical risk estimation but a low risk 70-gene signature had an excellent 5-year DRFI varying between 97.1 and 100 %, depending on the clinical risk prediction algorithms used in the comparison. The best risk estimation was obtained in this cohort by adding the 70-gene signature to CBO 2012 (AUC: 0.644) and PREDICT (AUC: 0.662). Clinical risk estimations by all clinical algorithms improved by adding the 70-gene signature. Patients with a low risk 70-gene signature have an excellent survival, independent of their clinical risk estimation. Adding the 70-gene signature to clinical risk prediction algorithms improves risk estimations and therefore might improve the identification of early stage node-negative breast cancer patients for whom AST has limited value. In this cohort, the PREDICT plus tool in combination with the 70-gene signature provided the best risk prediction.


Subject(s)
Breast Neoplasms/genetics , Breast Neoplasms/mortality , Decision Support Techniques , Forecasting/methods , Adenocarcinoma/genetics , Adenocarcinoma/mortality , Adenocarcinoma/therapy , Adolescent , Adult , Algorithms , Breast Neoplasms/therapy , Chemotherapy, Adjuvant , Female , Gene Expression Profiling , Humans , Kaplan-Meier Estimate , Middle Aged , Neoplasm Recurrence, Local , Regression Analysis , Risk , Risk Assessment , Treatment Outcome , Young Adult
15.
Eur J Cancer ; 50(6): 1045-54, 2014 Apr.
Article in English | MEDLINE | ID: mdl-24529927

ABSTRACT

BACKGROUND: Clinical decision-making in patients with early stage breast cancer requires adequate risk estimation by medical oncologists. This survey evaluates the agreement among oncologists on risk estimations and adjuvant systemic treatment (AST) decisions and the impact of adding the 70-gene signature to known clinico-pathological factors. METHODS: Twelve medical oncologists assessed 37 breast cancer cases (cT1-3N0M0) and estimated their risk of recurrence (high or low) and gave a recommendation for AST. Cases were presented in two written questionnaires sent 4 weeks apart. Only the second questionnaire included the 70-gene signature result. RESULTS: The level of agreement among oncologists in risk estimation (κ=0.57) and AST recommendation (κ=0.57) was 'moderate' in the first questionnaire. Adding the 70-gene signature result significantly increased the agreement in risk estimation to 'substantial' (κ=0.61), while agreement in AST recommendations remained 'moderate' (κ=0.56). Overall, the proportion of high risk was reduced with 7.4% (range: 6.9-22.9%; p<0.001) and the proportion of chemotherapy that was recommended was reduced with 12.2% (range: 5.4-29.5%; p<0.001). CONCLUSION: Oncologists' risk estimations and AST recommendations vary greatly. Even though the number of participating oncologists is low, our results underline the need for a better standardisation tool in clinical decision-making, in which integration of the 70-gene signature may be helpful in certain subgroups to provide patients with individualised, but standardised treatment.


Subject(s)
Breast Neoplasms/drug therapy , Decision Making , Medical Oncology/methods , Risk Assessment/methods , Adult , Aged , Breast Neoplasms/diagnosis , Breast Neoplasms/genetics , Chemotherapy, Adjuvant/methods , Early Detection of Cancer/methods , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Humans , Middle Aged , Reproducibility of Results , Risk Factors , Surveys and Questionnaires
16.
Breast Cancer Res Treat ; 144(1): 103-11, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24469641

ABSTRACT

Overdiagnosis of breast cancer, i.e. the detection of slow-growing tumors that would never have caused symptoms or death, became more prevalent with the implementation of population-based screening. Only rough estimates have been made of the proportion of patients that are overdiagnosed and identification of those patients is difficult. Therefore, the aim of this study is to evaluate whether tumor biology can help identify patients with screen-detected tumors at such a low risk of recurrence that they are likely to be overdiagnosed. Furthermore, we wish to evaluate the impact of the transition from film-screen mammography (FSM) to the more sensitive full-field digital mammography (FFDM) on the biology of the tumors detected by each screening-modality. All Dutch breast cancer patients enrolled in the MINDACT trial (EORTC-10041) accrued 2007-2011, who participated in the national screening program (biennial screening ages 50-75) were included (n = 1,165). We calculated the proportions of high-, low- and among those the ultralow-risk tumors according to the 70-gene signature for patients with screen-detected (n = 775) and interval (n = 390) cancers for FSM and FFDM. Screen-detected cancers had significantly more often a low-risk tumor biology (68 %) of which 54 % even an ultralow-risk compared to interval cancers (53 % low-, of which 45 % ultralow-risk (p = 0.001) with an OR of 2.33 (p < 0.0001; 95 % CI 1.73-3.15). FFDM detected significantly more high-risk tumors (35 %) compared to FSM (27 %) (p = 0.011). Aside from favorable clinico-pathological factors, screen-detected cancers were also more likely to have a biologically low-risk or even ultralow-risk tumor. Especially for patients with screen-detected cancers the use of tools, such as the 70-gene signature, to differentiate breast cancers by risk of recurrence may minimize overtreatment. The recent transition in screening-modalities led to an increase in the detection of biologically high-risk cancers using FFDM.


Subject(s)
Breast Neoplasms/diagnostic imaging , Breast Neoplasms/pathology , Mammography/methods , Aged , Breast Neoplasms/genetics , Early Detection of Cancer/adverse effects , Early Detection of Cancer/methods , Female , Humans , Middle Aged , Risk , Transcriptome
17.
Breast Cancer Res Treat ; 143(3): 587-92, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24445566

ABSTRACT

Several studies have validated the prognostic value of the 70-gene prognosis signature (MammaPrint(R)), but long-term outcome prediction of these patients has not been previously reported. The follow-up of the consecutively treated cohort of 295 patients (<53 years) with invasive breast cancer (T1-2N0-1M0; n = 151 N0, n = 144 N1) diagnosed between 1984 and 1995, in which the 70-gene signature was previously validated, was updated. The median follow-up for this series is now extended to 18.5 years. A significant difference is seen in long-term distant metastasis-free survival (DMFS) for the patients with a low- and a high-risk 70-gene signature (DMFS p < 0.0001), as well as separately for node-negative (DMFS p < 0.0001) and node-positive patients (DMFS p = 0.0004). The 25-year hazard ratios (HRs) for all patients for DMFS and OS were 3.1 (95 % CI 2.02-4.86) and 2.9 (95 % CI 1.90-4.28), respectively. The HRs for DMFS and OS were largest in the first 5 years after diagnosis: 9.6 (95 % CI 4.2-22.1) and 11.3 (95 % CI 3.5-36.4), respectively. The 25-year HRs in the subgroup of node-negative patients for DMFS and OS were 4.57 (95 % CI 2.31-9.04) and 4.73 (95 % CI 2.46-9.07), respectively, and for node-positive patients for DMFS and OS were 2.24 (95 % CI 1.25-4.00) and 1.83 (95 % CI 1.07-3.11), respectively. The 70-gene signature remains prognostic at longer follow-up in patients <53 years of age with stage I and II breast cancer. The 70-gene signature's strongest prognostic power is seen in the first 5 years after diagnosis.


Subject(s)
Breast Neoplasms/epidemiology , Breast Neoplasms/genetics , Gene Expression Regulation, Neoplastic , Lymphatic Metastasis/genetics , Adult , Breast Neoplasms/pathology , Disease-Free Survival , Female , Gene Expression Profiling , Humans , Lymphatic Metastasis/pathology , Middle Aged , Neoplasm Staging , Prognosis
18.
Breast Cancer Res Treat ; 139(3): 811-9, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23760860

ABSTRACT

To compare overall survival between women with unilateral breast cancer (UBC) and contralateral breast cancer (CBC). Women with UBC (N = 182,562; 95 %) and CBC (N = 8,912; 5 %) recorded in the Netherlands Cancer Registry between 1989 and 2008 were included and followed until 2010. We incorporated CBC as a time-dependent covariate to compute the overall mortality rate ratio between women with CBC and UBC. Prognostic factors for overall death were examined according to age at first breast cancer. Women with CBC exhibited a 30 % increase in overall mortality (Hazard Ratio (HR), 95 % Confidence Interval: 1.3, 1.3-1.4) compared with UBC, decreasing with rising age at diagnosis of first breast cancer (<50 years: 2.3, 2.2-2.5 vs. ≥70 years: 1.1, 1.0-1.1). Women older than 50 years at CBC diagnosis and diagnosed 2-5 years after their first breast cancer exhibited a 20 % higher death risk (1.2, 1.0-1.3) compared to those diagnosed within the first 2 years. In women younger than 50 years, the HR was significantly lower if the CBC was diagnosed >5 years after the first breast cancer (0.7, 0.5-0.9). The prognosis for women with CBC significantly improved over time (2004-2008: 0.6, 0.5-0.7 vs. 1989-1993). Women with CBC had a lower survival compared to women with UBC, especially those younger than 50 years at first breast cancer diagnosis. A tailored follow-up strategy beyond current recommendations is needed for these patients who, because of their age and absence of known familial risk, are currently not invited for population-based screening.


Subject(s)
Breast Neoplasms/mortality , Age Factors , Aged , Breast Neoplasms/pathology , Cohort Studies , Female , Humans , Middle Aged , Neoplasms, Second Primary/mortality , Netherlands/epidemiology , Prognosis
19.
Ann Oncol ; 24(8): 2036-42, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23543211

ABSTRACT

BACKGROUND: Recent studies suggested an improved overall survival (OS) for BRCA2- versus BRCA1-associated epithelial ovarian cancer (EOC), whereas the impact of chemotherapy is not yet clear. In a nationwide cohort, we examined the results of primary treatment, progression-free survival (PFS), treatment-free interval (TFI), and OS of BRCA1 versus BRCA2 EOC patients. METHODS: Two hundred and forty-five BRCA1- and 99 BRCA2-associated EOC patients were identified through all Dutch university hospitals. Analyses were carried out with the Pearson's Chi-square test, Kaplan-Meier, and Cox regression methods. RESULTS: BRCA1 patients were younger at EOC diagnosis than BRCA2 patients (51 versus 55 years; P < 0.001), without differences regarding histology, tumor grade, and International Federation of Gynecology and Obstetrics (FIGO) stage. Complete response rates after primary treatment, including chemotherapy, did not differ between BRCA1 (86%) and BRCA2 patients (90%). BRCA1 versus BRCA2 patients had a shorter PFS (median 2.2 versus 3.9 years, respectively; P = 0.006), TFI (median 1.7 versus 2.8 years; P = 0.009), and OS (median 6.0 versus 9.7 years; P = 0.04). Differences could not be explained by age at diagnosis, FIGO stage or type of treatment. CONCLUSIONS: PFS and OS were substantially longer in BRCA2- than in BRCA1-associated EOC patients. While response rates after primary treatment were similarly high in both groups, TFI, as surrogate for chemosensitivity, was significantly longer in BRCA2 patients.


Subject(s)
BRCA1 Protein/genetics , BRCA2 Protein/genetics , Neoplasms, Glandular and Epithelial/genetics , Neoplasms, Glandular and Epithelial/mortality , Ovarian Neoplasms/genetics , Ovarian Neoplasms/mortality , Adult , Aged , Antineoplastic Agents, Phytogenic/therapeutic use , Carcinoma, Ovarian Epithelial , Disease-Free Survival , Female , Humans , Middle Aged , Neoplasms, Glandular and Epithelial/drug therapy , Neoplasms, Glandular and Epithelial/surgery , Netherlands , Ovarian Neoplasms/drug therapy , Ovarian Neoplasms/surgery , Paclitaxel/therapeutic use , Platinum Compounds/therapeutic use , Survival , Treatment Outcome
20.
Br J Cancer ; 107(5): 800-7, 2012 Aug 21.
Article in English | MEDLINE | ID: mdl-22850554

ABSTRACT

BACKGROUND: Predict (www.predict.nhs.uk) is an online, breast cancer prognostication and treatment benefit tool. The aim of this study was to incorporate the prognostic effect of HER2 status in a new version (Predict+), and to compare its performance with the original Predict and Adjuvant!. METHODS: The prognostic effect of HER2 status was based on an analysis of data from 10 179 breast cancer patients from 14 studies in the Breast Cancer Association Consortium. The hazard ratio estimates were incorporated into Predict. The validation study was based on 1653 patients with early-stage invasive breast cancer identified from the British Columbia Breast Cancer Outcomes Unit. Predicted overall survival (OS) and breast cancer-specific survival (BCSS) for Predict+, Predict and Adjuvant! were compared with observed outcomes. RESULTS: All three models performed well for both OS and BCSS. Both Predict models provided better BCSS estimates than Adjuvant!. In the subset of patients with HER2-positive tumours, Predict+ performed substantially better than the other two models for both OS and BCSS. CONCLUSION: Predict+ is the first clinical breast cancer prognostication tool that includes tumour HER2 status. Use of the model might lead to more accurate absolute treatment benefit predictions for individual patients.


Subject(s)
Breast Neoplasms/drug therapy , Breast Neoplasms/enzymology , Models, Statistical , Receptor, ErbB-2/biosynthesis , Adult , Aged , Cohort Studies , Female , Humans , Middle Aged , Prognosis , Proportional Hazards Models , Reproducibility of Results , Young Adult
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