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- Baldetorp, Bo, et al.
(författare)
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Different calculation methods for flow cytometric S-phase fraction: prognostic implications in breast cancer? The Swedish Society of Cancer Study Group
- 1998
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Ingår i: Cytometry. - 0196-4763. ; 33:4, s. 385-393
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Tidskriftsartikel (refereegranskat)abstract
- S-phase fraction (SPF), estimated in the flow cytometric DNA histogram, is a prognostic factor in breast cancer. There are, however, some inherent difficulties in the estimation of SPF, such as the influence of debris, aggregates, and normal cells. Most of the available SPF calculation principles try to consider these difficulties, but so far no consensus has been reached with regard to which principle is to be recommended. The aim of the present study was to investigate the prognostic impact of SPF when estimated with different calculation methods in frozen breast cancer samples from 350 patients. Two nonparametric (Rman, Rmin/both rectangle) and three parametric (ACAS/DNA-base, ModFit, and MultiCycle) calculation methods, with and without correction for debris and aggregates, were used. The mean values for SPF varied from 4.3% (ACAS/DNA-base with correction for debris and aggregates) to 9.4% (MultiCycle without any correction for background). The pairwise correlation between methods varied considerably (R = 0.72-0.98). After categorization of SPF values into low SPF (lower two tertiles) and high SPF (upper tertile), all methods yielded statistically significant Pvalues for recurrence-free survival (median follow-up time 67 months), both univariately (0.0004-< 0.0001) and multivariately (0.048-0.0004), after adjusting for nodal status, tumor size, and estrogen receptor status. SPF with background correction did not yield lower P values than SPF without. Regardless of which method was used, SPF showed similar correlations with lymph node involvement, tumor size, and estrogen receptor content. In conclusion, as the mean value of SPF for different calculation methods varies, each laboratory must be restricted to use only one method. Background correction does not seem to improve the prognostic impact of SPF in DNA histograms. Based on the experiences obtained in the present study, S-phase calculation methods without background correction may therefore be the most suitable for routine evaluation of DNA histograms of fresh frozen breast cancer material (ModFit, MultiCycle, and Rman [the latter only for experienced operators]). The nonparametric Rmin, with an automatic setting of the region used for SPF calculation, may be an alternative, but suffers from the disadvantage of not being commercially available yet.
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| 3. |
- Paulsson, J., et al.
(författare)
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High expression of stromal PDGFR beta is associated with reduced benefit of tamoxifen in breast cancer
- 2017
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Ingår i: Journal of Pathology Clinical Research. - : Wiley. - 2056-4538. ; 3:1, s. 38-43
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Tidskriftsartikel (refereegranskat)abstract
- Cancer-associated fibroblasts (CAFs) regulate tumour growth, metastasis and response to treatment. Recent studies indicate the existence of functionally distinct CAF subsets. Suggested mechanisms whereby CAFs can impact on treatment response include paracrine signalling affecting cancer cell drug sensitivity and effects on tumour drug uptake. PDGFR beta is an important regulator of fibroblasts. Experimental studies have linked PDGFR beta-positive fibroblasts to metastasis and also to reduced tumour drug uptake. This study has investigated the potential role of PDGFR beta-positive fibroblasts in response to adjuvant tamoxifen treatment of breast cancer. Analyses of two breast cancer collections from randomised studies analysing adjuvant tamoxifen treatment in early breast cancer demonstrated significant benefit of tamoxifen in the group with low stromal PDGFR beta, which was not observed in the group with high stromal PDGFR beta. In general terms these findings provide novel evidence, derived from analyses of randomised clinical studies, of response-predictive capacity of a marker-defined subset of CAFs and, more specifically, identify stromal PDGFR beta as a marker related to tamoxifen benefit in early breast cancer.
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| 4. |
- Sternby Eilard, Malin, 1974, et al.
(författare)
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Quality of life as a prognostic factor for survival in hepatocellular carcinoma
- 2018
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Ingår i: Liver International. - : Wiley. - 1478-3223. ; 38:5, s. 885-894
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Tidskriftsartikel (refereegranskat)abstract
- Background & Aims: Prognostication in hepatocellular carcinoma (HCC) is demanding. Not only tumour extent and performance status are to be considered, but also liver function, which is often limiting for both survival itself and for treatment possibilities. This study was conducted to assess whether patient-reported questionnaires containing general and liver-specific questions could improve prognostication of survival. Methods: 185 patients with hepatocellular carcinoma in Norway and Sweden were prospectively included. Patients completed the quality-of-life questionnaires EORTC QLQ C30 and HCC18, and clinical, radiological and laboratory parameters were registered. Multivariate Cox regression and Harrell's C-statistics were used to identify the model that best predicted mortality. Results: Quality-of-life data were prognostic for overall survival. Fatigue and nutrition scales were prognostic in the multivariable analyses alone and in combination with clinical parameters. The prognostic value of established scoring systems was increased by the addition of QoL data. The best prognostic power was achieved by combining HCC18 nutrition scale with selected background parameters. Conclusion: Quality-of-life questionnaires can prognosticate mortality in HCC patients. When combined with established scoring systems, both the general cancer questionnaire EORTC QLQ C30, and the additional liver cancer-specific HCC18 increased the prognostic accuracy slightly.
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| 6. |
- Busch, Susann, et al.
(författare)
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Loss of TGF beta Receptor Type 2 Expression Impairs Estrogen Response and Confers Tamoxifen Resistance
- 2015
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Ingår i: Cancer Research. - : American Association for Cancer Research (AACR). - 0008-5472 .- 1538-7445. ; 75:7, s. 1457-1469
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Tidskriftsartikel (refereegranskat)abstract
- One third of the patients with estrogen receptor alpha (ER alpha)-positive breast cancer who are treated with the antiestrogen tamoxifen will either not respond to initial therapy or will develop drug resistance. Endocrine response involves crosstalk between ER alpha and TGF beta signaling, such that tamoxifen non-responsiveness or resistance in breast cancer might involve aberrant TGF beta signaling. In this study, we analyzed TGF beta receptor type 2 (TGFBR2) expression and correlated it with ER alpha status and phosphorylation in a cohort of 564 patients who had been randomized to tamoxifen or no-adjuvant treatment for invasive breast carcinoma. We also evaluated an additional four independent genetic datasets in invasive breast cancer. In all the cohorts we analyzed, we documented an association of low TGFBR2 protein and mRNA expression with tamoxifen resistance. Functional investigations confirmed that cell cycle or apoptosis responses to estrogen or tamoxifen in ER alpha-positive breast cancer cells were impaired by TGFBR2 silencing, as was ER alpha phosphorylation, tamoxifen-induced transcriptional activation of TGF beta, and upregulation of the multidrug resistance protein ABCG2. Acquisition of low TGFBR2 expression as a contributing factor to endocrine resistance was validated prospectively in a tamoxifen-resistant cell line generated by long-term drug treatment. Collectively, our results established a central contribution of TGF beta signaling in endocrine resistance in breast cancer and offered evidence that TGFBR2 can serve as an independent biomarker to predict treatment outcomes in ER alpha-positive forms of this disease. (C)2015 AACR.
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