| 1. |
- Hakamies-Blomqvist, Liisa, et al.
(författare)
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Timing of quality of life (QoL) assessments as a source of error in oncological trials
- 2001
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Ingår i: Journal of Advanced Nursing. - : Wiley. - 0309-2402 .- 1365-2648. ; 35:5, s. 709-16
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Tidskriftsartikel (refereegranskat)abstract
- AIM OF THE STUDY: To produce an empirical estimate of the nature and magnitude of the error produced by incorrect timing quality of life (QoL) measurements in patients receiving chemotherapy. DESIGN: In a multicentre trial, 283 patients were randomized to receive either docetaxel (T) or sequential methotrexate and 5-fluorouracil (MF). The QoL was assessed at baseline and before each treatment using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). The study design was retrospective. Data were analysed using t-tests. RESULTS: Erroneous timing affected the QoL findings in both treatment arms. At baseline, there were statistically significant differences in the MF group on the nausea/vomiting scale, with ill-timed assessment showing more symptoms, and in the T group on the physical functioning scale with ill-timed assessments indicating better QoL. The mean scores of correct vs. incorrect timings over the first 14 cycles showed statistically significant differences on several scales. In the MF group, ill-timed assessments indicated significantly worse physical functioning and global QoL, and significantly more of the following symptoms: fatigue, nausea/vomiting, insomnia, appetite loss, and constipation. In the T group, ill-timed assessment showed better physical functioning, less dyspnoea and more insomnia than correctly timed assessments. The reasons for erroneous timing were not always detectable retrospectively. However, in some cases the MF group, being in standard treatment, seemed to have followed a clinical routine not involving the active participation of the study nurse responsible, whereas patients in the experimental T group were more consistently taken care of by the study nurses. CONCLUSIONS: Incorrect timing of QoL assessments in oncological trials jeopardises both the reliability of the QoL findings within treatment and the validity of QoL outcome comparisons between treatments. This issue should be emphasized in the planning of both the study design and clinical routines.
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| 2. |
- Aaltonen, Kirsimari, et al.
(författare)
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Cyclin D1 expression is associated with poor prognostic features in estrogen receptor positive breast cancer
- 2009
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Ingår i: Breast Cancer Research and Treatment. - : Springer Science and Business Media LLC. - 1573-7217 .- 0167-6806. ; 113:1, s. 75-82
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Tidskriftsartikel (refereegranskat)abstract
- Cyclins D1 and E play an important role in breast carcinogenesis. High cyclin E expression is common in hormone receptor negative and high grade aggressive breast cancer, whereas cyclin D1 in hormone receptor positive and low grade breast cancer. Experimental data has suggested that cyclin D1 and E mediate cell proliferation by different mechanisms in estrogen receptor (ER) positive and negative breast cancer. To test this hypotheses in large breast cancer material and to clarify the histopathological correlations of cyclin E and D1, especially the association with proliferation, we analyzed cyclin E and D1 immunohistochemical expression on breast tumour microarrays consisting of 1348 invasive breast cancers. High cyclin D1 expression was associated with high grade (P < 0.0005), high cyclin A (P < 0.0005) and Ki67 (P < 0.0005) expression among ER positive but with low grade (P = 0.05) and low Ki67 (P = 0.01) expression among ER negative breast cancers. Cyclin E and D1 expression correlated positively in ER positive (P < 0.0005) but had a negative correlation in ER negative tumours (P = 0.004). Cyclin E associated with high grade among all tumours (P < 0.0005). In conclusion, the findings of this study show that cyclin D1 has separate roles, and proliferation is driven by different mechanisms in ER positive and negative breast cancers.
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| 3. |
- Aaltonen, Kirsimari, et al.
(författare)
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High cyclin B1 expression is associated with poor survival in breast cancer
- 2009
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Ingår i: British Journal of Cancer. - : Springer Science and Business Media LLC. - 0007-0920 .- 1532-1827. ; 100:7, s. 1055-60
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Tidskriftsartikel (refereegranskat)abstract
- Cyclin B1 regulates the G(2)-M transition of the cell cycle. Cyclin B1 expression is higher in premalignant and malignant than normal breast lesions. Correlation of cyclin B1 expression with other histopathological variables and prognostic role in breast cancer are not fully understood. Traditionally used prognostic criteria identify large subset of patients to receive adjuvant chemotherapy and to be exposed to adverse effects. A reliable and simple method helping prognostic evaluation in breast cancer is needed. We analysed cyclin B1 expression on 1348 invasive breast cancers and studied correlations with other histopathological variables and survival. High cyclin B1 correlated with high tumour grade, large tumour size and positive nodal status, oestrogen and progesterone receptor negativity, positive HER2 and p53 status, young age at diagnosis, and high cyclin E, cyclin A and Ki67 expression. Among patients not given adjuvant chemotherapy high cyclin B1 was a strong predictor of shorter overall and metastasis-free survival (RR 3.74, P<0.0005 and RR 3.51, P<0.0005, respectively), and remained as an independent prognostic factor also in multivariate analysis (RR 1.80, P=0.04 and RR 2.31, P=0.02, respectively). This study suggests high cyclin B1 associates with aggressive phenotype and is an independent prognostic factor in breast cancer.
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| 4. |
- Ahearn, Thomas U., et al.
(författare)
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Common variants in breast cancer risk loci predispose to distinct tumor subtypes
- 2022
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Ingår i: Breast Cancer Research. - : Springer Nature. - 1465-5411 .- 1465-542X. ; 24:1
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundGenome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear.MethodsAmong 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes.ResultsEighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions.ConclusionThis report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
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| 5. |
- Ahlin, Cecilia, et al.
(författare)
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Cyclin A is a proliferative marker with good prognostic value in node-negative breast cancer
- 2009
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 18:9, s. 2501-2506
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Tidskriftsartikel (refereegranskat)abstract
- Background: Proliferative markers are not recommended as prognostic factors for clinical use in breast cancer due to lack of standardization in methodology. However, proliferation is driving several gene expression signatures emphasizing the need for a reliable proliferative marker IF or clinical use. Studies suggest that cyclin A is a prognostic marker with satisfying reproducibility. We investigated cyclin A as a prognostic marker in node-negative breast cancer using previously defined cutoff values. Patients and Methods: In a case-control study, we defined 190 women who died from breast cancer as cases and 190 women alive at the time for the corresponding case's death as controls. Inclusion criteria were tumor size <= 50 mm, no lymph node metastases and no adjuvant chemotherapy. Tumor tissues were immunostained for cyclin A using commercially available antibodies. Results: We found a statistically significant association between expression of cyclin A and breast cancer death in a univariate model: odds ratio for cyclin A(ave) 2.7 [95% confidence interval (CI), 1.7-4.3] and cyclin A(max) 3.4 (CI, 2.1-5.5). Corresponding odds ratio for Ki67 were Ki67(ave) 1.9 (CI, 1.2-3.1) and Ki67(max) 1.7 (CI, 1.1-2.7) and for grade 3.1 (CI, 1.8-5.1). Cyclin A was strongly correlated to Ki67 and grade why a model including all was not appropriate. Conclusions: Cyclin A is a prognostic factor for breast cancer death in node-negative patients using standardized methodology regarding scoring and cutoff values. Adding cyclin A as a proliferative marker to established clinicopathologic factors will improve the separation of low and high risk breast cancer.
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| 6. |
- Ahlin, Cecilia, et al.
(författare)
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Ki67 and cyclin A as prognostic factors in early breast cancer : What are the optimal cut-off values?
- 2007
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Ingår i: Histopathology. - : Wiley. - 0309-0167 .- 1365-2559. ; 51:4, s. 491-498
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Tidskriftsartikel (refereegranskat)abstract
- AIMS: To find the optimal cut-off values for cyclin A and Ki67 in early breast cancer tumours and to evaluate their prognostic values. METHODS AND RESULTS: Tissue microarray (TMA) slides were constructed from 570 T1-4 N0-1 M0 breast cancer tumours. The TMA slides were stained for cyclin A and Ki67 using immunohistochemistry with commercial antibodies. To investigate the optimal cut-off values for cyclin A, Ki67 average and maximum values the material was split into two parts at cut-offs defined by dividing it into deciles. For each cut-off value the relative risk (RR) for metastasis-free survival (MFS) and overall survival (OS) was calculated comparing patients with high versus low cyclin A or Ki67 expression. When using a cut-off value around the seventh decile, cyclin A and Ki67 score correlated with the highest RR ratio for MFS in the chemotherapy-naïve subgroup. Among patients having received adjuvant chemotherapy, no statistically significant differences in MFS or OS were found. CONCLUSIONS: The optimal cut-off value for cyclin A average is 8% and for cyclin A maximum value 11%; for Ki67 the corresponding values are 15% and 22%. Additional studies are needed to verify these results.
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| 7. |
- Ali, Alaa M. G., et al.
(författare)
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Alcohol Consumption and Survival after a Breast Cancer Diagnosis: A Literature-Based Meta-analysis and Collaborative Analysis of Data for 29,239 Cases
- 2014
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Ingår i: Cancer Epidemiology Biomarkers & Prevention. - 1538-7755 .- 1055-9965. ; 23:6, s. 934-945
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Tidskriftsartikel (refereegranskat)abstract
- Background: Evidence for an association of alcohol consumption with prognosis after a diagnosis of breast cancer has been inconsistent. We have reviewed and summarized the published evidence and evaluated the association using individual patient data from multiple case cohorts. Methods: A MEDLINE search to identify studies published up to January 2013 was performed. We combined published estimates of survival time for "moderate drinkers" versus nondrinkers. An analysis of individual participant data using Cox regression was carried out using data from 11 case cohorts. Results: We identified 11 published studies suitable for inclusion in the meta-analysis. Moderate postdiagnosis alcohol consumption was not associated with overall survival [HR, 0.95; 95% confidence interval (CI), 0.85-1.05], but there was some evidence of better survival associated with prediagnosis consumption (HR, 0.80; 95% CI, 0.73-0.88). Individual data on alcohol consumption for 29,239 cases with 4,839 deaths were available from the 11 case cohorts, all of which had data on estrogen receptor (ER) status. For women with ER-positive disease, there was little evidence that pre-or postdiagnosis alcohol consumption is associated with breast cancer-specific mortality, with some evidence of a negative association with all-cause mortality. On the basis of a single study, moderate postdiagnosis alcohol intake was associated with a small reduction in breast cancer-specific mortality for women with ER-negative disease. There was no association with prediagnosis intake for women with ER-negative disease. Conclusion: There was little evidence that pre- or post-diagnosis alcohol consumption is associated with breast cancer-specific mortality for women with ER-positive disease. There was weak evidence that moderate post-diagnosis alcohol intake is associated with a small reduction in breast cancer-specific mortality in ER-negative disease. Impact: Considering the totality of the evidence, moderate postdiagnosis alcohol consumption is unlikely to have a major adverse effect on the survival of women with breast cancer. (C) 2014 AACR.
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| 8. |
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| 9. |
- Amini, Rose-Marie, et al.
(författare)
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Mast cells and eosinophils in invasive breast carcinoma
- 2007
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Ingår i: BMC Cancer. - : Springer Science and Business Media LLC. - 1471-2407. ; 7, s. 165-
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Inflammatory cells in the tumour stroma has gained increasing interest recently. Thus, we aimed to study the frequency and prognostic impact of stromal mast cells and tumour infiltrating eosinophils in invasive breast carcinomas. METHODS: Tissue microarrays containing 234 cases of invasive breast cancer were prepared and analysed for the presence of stromal mast cells and eosinophils. Tumour infiltrating eosinophils were counted on hematoxylin-eosin slides. Immunostaining for tryptase was done and the total number of mast cells were counted and correlated to the proliferation marker Ki 67, positivity for estrogen and progesterone receptors, clinical parameters and clinical outcome. RESULTS: Stromal mast cells were found to correlate to low grade tumours and estrogen receptor positivity. There was a total lack of eosinophils in breast cancer tumours. CONCLUSION: A high number of mast cells in the tumours correlated to low-grade tumours and estrogen receptor positivity. Eosinophils are not tumour infiltrating in breast cancers.
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| 10. |
- Couch, Fergus J., et al.
(författare)
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Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer
- 2016
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Ingår i: Nature Communications. - : NATURE PUBLISHING GROUP. - 2041-1723. ; 7:11375, s. 1-13
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Tidskriftsartikel (refereegranskat)abstract
- Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 x 10(-8)) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for similar to 11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction.
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