| 1. |
- Look, M, et al.
(författare)
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Pooled analysis of prognostic impact of uPA and PAI-I in breast cancer patients
- 2003
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Ingår i: Thrombosis and Haemostasis. - 0340-6245. ; 90:3, s. 538-548
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Tidskriftsartikel (refereegranskat)abstract
- In this report we present an extension of the pooled analysis of the prognostic impact of urokinase-type plasminogen activator (uPA) and its inhibitor PAI-I in breast cancer patients. We analyzed a different endpoint, metastasis-free survival (MFS). We checked the consistency of the estimates for uPA and PAI-I for relapse-free survival (RFS) and MFS exploring possible sources of heterogeneity. Nodal status, the most important prognostic factor for breast cancer, introduced heterogeneity in the uPA/PAI-I survival analyses, reflecting the interaction between nodal status and uPA/PAI-I. The estimates for uPA and PAI-I were found to be consistent, even when a different transformation of their values was used. The heterogeneity of the separate data sets decreased if the levels of uPA and PAI-I were ranked, data sets were pooled, and the analyses corrected for the base model that included all traditional prognostic factors, and stratified by data set. We conclude that uPA and PAI-I are ready to be used in the clinic to help classify breast cancer patients into high and low risk groups.
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| 2. |
- Look, MP, et al.
(författare)
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Pooled analysis of prognostic impact of urokinase-type plasminogen activator and its inhibitor PAI-1 8377 breast cancer patients
- 2002
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Ingår i: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 1460-2105 .- 0027-8874. ; 94:2, s. 116-128
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Tidskriftsartikel (refereegranskat)abstract
- Background: Urokinase-type plasminogen activator (uPA) and its inhibitor (PAI-1) play essential roles in tumor invasion and metastasis. High levels of both uPA and PAT-1 are associated with poor prognosis in breast cancer patients. To confirm the prognostic value of uPA and PAI-1 in primary breast cancer, we reanalyzed individual patient data provided by members of the European Organization for Research and Treatment of Cancer-Receptor and Biomarker Group (EORTC-RBG). Methods: The study included 18 datasets involving 8377 breast cancer patients. During follow-up (median 79 months), 35% of the patients relapsed and 27% died. Levels of uPA and PAI-1 in tumor tissue extracts were determined by different immunoassays; values were ranked within each dataset and divided by the number of patients in that dataset to produce fractional ranks that could be compared directly across datasets. Associations of ranks of uPA and PAI-1 levels with relapse-free survival (RFS) and overall survival (OS) were analyzed by Cox multivariable regression analysis stratified by dataset, including the following traditional prognostic variables: age, menopausal status, lymph node status, tumor size, histologic grade, and steroid hormone-receptor status. All P values were two-sided. Results: Apart from lymph node status, high levels of uPA and PAI-1 were the strongest predictors of both poor RFS and poor OS in the analyses of all patients. Moreover, in both lymph node-positive and lymph nodenegative patients, higher uPA and PAI-1 values were independently associated with poor RFS and poor OS. For (untreated) lymph node-negative patients in particular, uPA and PAI-1 included together showed strong prognostic ability (all P<.001). Conclusions: This pooled analysis of the EORTC-RBG datasets confirmed the strong and independent prognostic value of uPA and PAI-1 in primary breast cancer. For patients with lymph node-negative breast cancer, uPA and PAI-1 measurements in primary tumors may be especially useful for designing individualized treatment strategies.
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| 3. |
- Bagwell, C B, et al.
(författare)
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Optimizing flow cytometric DNA ploidy and S-phase fraction as independent prognostic markers for node-negative breast cancer specimens
- 2001
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Ingår i: Cytometry. - : Wiley. - 0196-4763 .- 1097-0320. ; 46:3, s. 121-135
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Tidskriftsartikel (refereegranskat)abstract
- Developing a reliable and quantitative assessment of the potential virulence of a malignancy has been a long-standing goal in clinical cytometry. DNA histogram analysis provides valuable information on the cycling activity of a tumor population through S-phase estimates; it also identifies nondiploid populations, a possible indicator of genetic instability and subsequent predisposition to metastasis. Because of conflicting studies in the literature, the clinical relevance of both of these potential prognostic markers has been questioned for the management of breast cancer patients. The purposes of this study are to present a set of 10 adjustments derived from a single large study that optimizes the prognostic strength of both DNA ploidy and S-phase and to test the validity of this approach on two other large multicenter studies. Ten adjustments to both DNA ploidy and S-phase were developed from a single node-negative breast cancer database from Baylor College (n = 961 cases). Seven of the adjustments were used to reclassify histograms into low-risk and high-risk ploidy patterns based on aneuploid fraction and DNA index optimum thresholds resulting in prognostic P values changing from little (P < 0.02) or no significance to P < 0.000005. Other databases from Sweden (n = 210 cases) and France (n = 220 cases) demonstrated similar improvement of DNA ploidy prognostic significance, P < 0.02 to P < 0.0009 and P < 0.12 to P < 0.002, respectively. Three other adjustments were applied to diploid and aneuploid S-phases. These adjustments eliminated a spurious correlation between DNA ploidy and S-phase and enabled them to combine independently into a powerful prognostic model capable of stratifying patients into low, intermediate, and high-risk groups (P < 0.000005). When the Baylor prognostic model was applied to the Sweden and French databases, similar significant patient stratifications were observed (P < 0.0003 and P < 0.00001, respectively). The successful transference of the Baylor prognostic model to other studies suggests that the proposed adjustments may play an important role in standardizing this test and provide valuable prognostic information to those involved in the management of breast cancer patients.
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| 4. |
- Bagwell, CB, et al.
(författare)
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Multivariate analyses of flow cytometric S-phase and ploidy as node-negative breast cancer prognostic factors : an international and multi-center study
- 2001
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Ingår i: Abstract Issue, 24th Annual San Antonio, Breast Cancer Symposium. December 10-13, 2001 San Antonio Marriott Rivercenter, Texas, USA.. ; , s. 260-260
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Konferensbidrag (refereegranskat)abstract
- Recently a set of ten adjustments that optimizes the prognostic strength of both DNA ploidy (P) and S-phase (S) was published (Cytometry, 46(3), 2001). Also presented was an optimal method of combining P and S (P+S) that stratifies node-negative patients into highly significant risk groups. The adjustments compensate for many unappreciated complexities in categorizing P into low and high risk groups and eliminate unwanted correlation between P and S. The purpose of this study is to examine P+S in the context of other well-known prognostic factors such as primary size (pT), estrogen and progesterone receptor (ER,PR) and menopausal status (MS). Methods: DNA histograms derived from frozen primary tumors and clinical databases were provided by Baylor College, n=935; Sweden, n=210 (Lund, Linkoping, Stockholm) and France, n=220 (Angers, Marseille, Saint Cloud, Tours). Time to metastasis was the tested clinical outcome. Results: Cox proportional hazards analysis of theBaylor data revealed P+S, p<0.000002, and pT, p<0.003, as independent significant prognostic factors. The Sweden study also showed P+S the mostsignificant prognostic factor, p<0.002, as well as MS, p<0.004 and ER, p<0.007. The French study results were MS, p<0.0005, P+S, p<0.002 and pT, p<0.007.A P+S, MS and pT prognostic model stratified patients in all studies into highly significant categories, Baylor, p<0.000005, Sweden, p<0.00001, and French, p<0.000005, with low and high risk 10-year relapse-free survival fractions of 0.92-0.69, 0.95-0.58 and 0.96-0.60 respectively. Conclusion: A combined P+S, MS and pT prognostic model is a powerful and reliable method of stratifying node-negative breast cancer patients into highly significant prognostic groups.
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| 5. |
- Baldetorp, Bo, et al.
(författare)
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DNA and cell cycle analysis as prognostic indicators in breast tumors revisited
- 2001
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Ingår i: Clinics in Laboratory Medicine. - 0272-2712 .- 1557-9832. ; 21:4, s. 875-
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Tidskriftsartikel (refereegranskat)abstract
- Both DNA ploidy and S-phase ploidy are promising prognostic factors for node-negative breast cancer patients. Based largely on the analysis of one large study, much of the reported problems with these factors have been caused by some unappreciated complexities in categorizing DNA ploidy into low- and high-risk groups and the lack of some necessary adjustments to eliminate unwanted correlations between DNA S-phase and ploidy. When both DNA ploidy and S-phase are compensated properly, they become independent prognostic markers, forming a powerful prognostic model.
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| 6. |
- Sanchez, B C, et al.
(författare)
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Prolonged tamoxifen treatment increases relapse-free survival for patients with primary breast cancer expressing high levels of VEGF.
- 2010
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Ingår i: European journal of cancer (Oxford, England : 1990). - : Elsevier BV. - 1879-0852 .- 0959-8049. ; 46:9, s. 1580-7
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Tidskriftsartikel (refereegranskat)abstract
- Previous retrospective studies have shown that high intratumoural levels of vascular endothelial growth factor (VEGF) correlate with an inferior outcome for patients treated with adjuvant tamoxifen. Our objectives were to validate the impact of VEGF on survival after adjuvant tamoxifen and to investigate the interaction between VEGF and treatment duration. For this purpose tumour homogenates from 402 patients with operable oestrogen receptor positive breast cancer (BC), treated with tamoxifen for 2 (n=149) or 5 years (n=253) as the only systemic adjuvant therapy were included. The median follow-up time for surviving patients was 9.8 years (range 0.5-14.8 years). Expression of VEGF was assessed by an enzyme-linked immunosorbent assay and investigated in relation to the standard BC parameters and survival. In the total population, higher VEGF was significantly correlated with shorter recurrence-free survival (RFS) (HR=1.63, 95%CI=1.11-2.39, p=0.010), breast cancer corrected survival (BCCS) (HR=1.82, 95%CI=1.13-2.93, p=0.014) and overall survival (OS) (HR=1.51, 95%CI=1.11-2.05, p=0.009). High VEGF was significantly associated with reduced RFS (HR=2.61, 95%CI=1.45-4.70, p=0.001) after two years of tamoxifen, whilst no difference was seen in patients treated for five years (HR=1.09, 95%CI=0.64-1.84, p=0.760). A statistically significant interaction was observed between high VEGF expression and improved RFS after 5-year tamoxifen (p=0.034). In concordance with previous studies, high VEGF was significantly correlated with shorter survival. We present data not reported previously revealing that patients expressing high levels of VEGF display a better outcome provided that tamoxifen is given for five years. Further studies on the impact of VEGF on a 5-year regimen are motivated.
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