Background: CALGB (Alliance) 40603 measured the effects of adding carboplatin (Cb) and/or bevaciz... more Background: CALGB (Alliance) 40603 measured the effects of adding carboplatin (Cb) and/or bevacizumab (Bev) to standard neoadjuvant chemotherapy (weekly paclitaxel x 12 then doxorubicin/cyclophosphamide every 2 weeks x 4) on pathologic complete response (pCR) rates in stage II-III triple-negative breast cancer (TNBC). As previously reported (Sikov et al, JCO 2015), pCR breast (ypT0/is) and pCR breast/axilla (pCR Br/Ax) (ypT0/isN0) rates increased from 46% to 60% and 41% to 54%, respectively, with Cb and from 48% to 59% and 44% to 52%, respectively, with Bev. Secondary endpoints included event-free survival (EFS) and overall survival (OS). Methods: EFS is measured from study entry to ipsilateral invasive breast or locoregional recurrence, distant recurrence or death from any cause and OS from study entry to death from any cause in all patients (pts) who started study treatment. Pts without an event were censored as of their last clinical assessment. Hazard ratios (HR) were calculated for pts who achieved pCR vs. not and for pts assigned to receive drug (Cb or Bev) vs. not. All p-values are 2-sided. Results: 443 pts started study treatment. Median follow-up was 39 months (range 28-66). 110 EFS events and 77 deaths have been reported. At 3 yrs, overall EFS was 74.1% and OS 83.2%. Pts who achieved pCR breast had 3-yr EFS of 84.8% vs. 61.8% for those who did not. Table 1 shows the association between pCR and pCR or minimal residual invasive disease (Residual Cancer Burden Class I (RCB I), Symmans et al, JCO 2007) and outcomes; p-values for all comparisons <0.0001: Table 1 pCR BreastpCR Br/AxpCR Br/Ax or RCB IYes/No N (%)231 (52%)/212 (48%)207 (47%)/236 (53%)266 (60%)/177 (40%)EFS-HR0.33 (0.22-0.50)0.30 (0.19-0.46)0.29 (0.20-0.43)OS-HR0.28 (0.17-0.46)0.20 (0.11-0.36)0.21 (0.13-0.34) Pts assigned to Cb vs. not had 3-yr EFS 76.5% vs. 71.6% and OS 81.9% vs. 84.6%. Pts assigned to Bev vs. not had 3-yr EFS 75.5% vs. 72.9% and OS 85.5% vs. 80.9%. Table 2 shows HRs by assigned treatment: Table 2 CbBevN (Yes/No)225/218222/221EFS - HR0.84 (0.58-1.22) p=0.360.80 (0.55-1.17) p=0.25OS - HR1.15 (0.74-1.79) p=0.530.76 (0.49-1.19) p=0.23 Conclusions: Pts with TNBC who achieved pCR with study treatment had significantly better EFS and OS than pts who did not, consistent with findings from a published meta-analysis (Cortazar et al, Lancet 2014); the addition of RCB I did not weaken this association. Our study was not powered to assess the impact of Cb or Bev on these endpoints. While our findings are consistent with predictions from the meta-analysis as to the impact of raising the pCR rate on EFS (Berry-Hudis, JAMA Oncology 2015), the wide confidence intervals illustrate the challenge of conclusively demonstrating a correlation between pCR increment and EFS benefit, especially as the control pCR rate rises. While the addition of Bev has failed to improve long-term outcomes in TNBC in large randomized adjuvant trials, our results support ongoing and planned neoadjuvant and adjuvant studies designed to further assess the value of Cb-containing regimens in stage II-III TNBC. Support: U10s - CA180821, CA180882, CA180820, CA076001, CA025224, CA180868, CA180888. Citation Format: Sikov WM, Berry DA, Perou CM, Singh B, Cirrincione CT, Tolaney SM, Somlo G, Port ER, Qamar R, Sturtz K, Mamounas E, Golshan M, Bellon JR, Collyar D, Hahn OM, Carey LA, Hudis CA, Winer EP. Event-free and overall survival following neoadjuvant weekly paclitaxel and dose-dense AC +/- carboplatin and/or bevacizumab in triple-negative breast cancer: Outcomes from CALGB 40603 (Alliance). [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr S2-05.
TPS110 Background: While the prognosis for patients (pts) with triple-negative breast cancer (TNB... more TPS110 Background: While the prognosis for patients (pts) with triple-negative breast cancer (TNBC) remains poor, survival in TNBC pts who achieve a pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) equals that of others (Liedtke, JCO 2008). Thus, pCR may be a useful surrogate to evaluate novel treatment approaches in TNBC, and may aid in the identification of characteristics predictive of response. Based on preclinical and clinical data, CALGB 40603 is designed to determine if the addition of carboplatin (Cb) and/or bevacizumab (B) to standard NAC raises the pCR rate from an estimated 35% to ≥55%. Secondary endpoints include assessment of residual cancer burden in non-pCR pts, incidence and severity of adverse events, surgical and radiation practice patterns following NAC, and disease-free and overall survival. Mandatory pretreatment research biopsies will permit assessment of the impact of intrinsic subtypes defined by gene expression array and a wide array of other genomic and classi...
Support: U10CA180821, U10CA180882 Background: The addition of either carboplatin (Cb) or bevacizu... more Support: U10CA180821, U10CA180882 Background: The addition of either carboplatin (Cb) or bevacizumab (Bev) to standard neoadjuvant chemotherapy (NACT) increases pCR rates in TNBC overall and in the dominant subset of basal-like cancers (Sikov et al, JCO 2015; Sikov et al, SABCS 2014). Multigene expression signatures more accurately reflect tumor biology for response prediction and prognosis than individual gene expression. We evaluated the ability of multivariate analysis of gene expression signatures to create predictive models for achievement of pCR in TNBC. Methods: RNA sequencing was successful on 389 pretreatment samples from patients with available pCR data, and used to assign PAM50 subtype and calculate gene signatures scores for 489 published expression signatures. Elastic net, a penalized regression model for high dimensional variable selection, was used to select features associated with pCR in all TNBC and in the basal-like subset. Models were derived in a training set (2/3 of samples) and validated in a separate test set (1/3). A separate model was derived using 196 TNBC samples from patients treated only on the standard NACT +/- Cb arms for application to external TNBC neoadjuvant data sets not treated with Bev. Results: Consistent with our prior partial data set, 343 (88%) of the cancers were classified basal-like, in whom the in breast pCR rate was 54%; the remainder were classified normal-like (n=32) or HER2-enriched (n=14) with a non-basal pCR rate of 56%. Elastic Net analysis in all TNBC generated a model of 23 signatures and treatment assignment with 68% sensitivity and 64% specificity. The area under the curve was 0.64 (p-value=0.0019). Nineteen modules, including immune cell signatures (Th1, NK, IgG), immunoglobulin variable region expression, addition of Cb and Bev and expression of genes at regions 15q25, 17p11.2-13.3, and 8p22 were positively associated with response. The latter two regions are associated with aggressive breast cancer, and while not part of the 17p13 signature, this region contains TP53, a gene important in TNBC. Six modules were associated with resistance, including luminal progenitor, TGFB, NOTCH, FOS/JUN, 8p amplicon, and eosinophil signatures. When limited to basal-like samples, a model including 32 modules and addition of Cb and Bev was generated, with 62.3% sensitivity and 59.1% specificity. Seventeen features were selected in both models. Omitting Bev-treated patients, a model using just the gene expression signatures was developed. The predictive value of this model will be assessed using an external cohort of TNBC patients treated with neoadjuvant docetaxel and Cb (NCT01560663) and results presented. Conclusions: Multivariate analysis of gene expression signatures derived from pretreatment samples enabled the construction of models to predict achievement of pCR in TNBC. These models performed well on our test set, and will be assessed for their predictive ability in other TNBC data sets. If validated by future analyses, this could help us identify patients likely to achieve pCR with standard NACT and may benefit from the addition of agents such as Cb or Bev. ClinicalTrials.gov Identifier: NCT00861705. Citation Format: Hoadley KA, Hyslop T, Fan C, Berry DA, Hahn O, Tolaney SM, Sikov WM, Perou CM, Carey LA. Multivariate analysis of subtype and gene expression signatures predictive of pathologic complete response (pCR) in triple-negative breast cancer (TNBC): CALGB 40603 (Alliance) [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr PD1-03.
Background: Anthracycline- and taxane-based neoadjuvant chemotherapy (NAC) results in a pCR in 30... more Background: Anthracycline- and taxane-based neoadjuvant chemotherapy (NAC) results in a pCR in 30-35% of TNBC patients (pts), which is associated with improved recurrence-free and overall survival (RFS/OS). Thus, pCR rates may be useful in evaluating novel regimens in TNBC. In advanced TNBC, platinum analogues like Cb are active and addition of B to chemotherapy increases response rates and time to progression. CALGB 40603 is a 2×2 randomized phase II study designed to determine if the addition of either Cb or B to standard NAC significantly increases pCR rates in TNBC. Methods: Pts had operable clinical stage II-III TNBC, defined as hormone receptors <10% and HER2 IHC 0-1+ or FISH <2.0 in IHC 2+. Pretreatment biopsies for correlative studies were required. Using a factorial design, pts received P 80 mg/m2 weekly x 12 followed by doxorubicin 60 mg/m2 and cyclophosphamide 600 mg/m2 q2wks x 4 (ddAC) with or without Cb AUC 6 q3wks x 4 during P and with or without B 10 mg/kg q2wks x 9. Surgery was performed 4-8 wks later. Post-op therapy was not specified. The primary endpoint is pCR (breast), defined as the absence of residual invasive disease (ypT0/is). Secondary endpoints include pCR (breast/axilla) (ypT0/isN0), toxicities, adverse events (AEs), RFS and OS. The primary analysis is factorial for main effects of Cb and B and their interaction; statistical power assumed no interaction. Analysis is by intent-to-treat; pts not taken to surgery are considered non-pCRs. Results: 454 pts enrolled, median age 48, stage II 68%/stage III 32%. Of 354 pts with treatment data, 59 did not complete NAC, 30 withdrew due to AEs, more often with B vs. not (11.5% vs. 3.5%). B was discontinued in 23% of assigned pts vs. 6-13% for other agents. Grade 3-4 neutropenia (56% vs. 20%) and thrombocytopenia (22% vs. 4%) were more common with Cb vs. not, while grade 3 hypertension was more common with B vs. not (11% vs. <1%). Febrile neutropenia, usually during ddAC, was more common in pts who received both Cb and B (19% vs. others 7%). Unaudited pCR results for the first 369 pts, with effects reported as increments in pCR (95% CI), assuming no interaction, are as follows: pCR (breast) pCR (breast/axilla) No CbCbB effectNo CbCbB effectNo B30/89 33.7%44/94 47.8%14.9% (4.8-25.0%)25/89 28.2%39/92 42.4%10.5% (0.5-20.5%)B48/94 51.1%57/94 60.6%p = 0.00440/94 42.6%47/94 50.0%p = 0.031Cb effect11.7% (1.6-21.8%) p = 0.022 10.3% (0.3-20.3%) p = 0.034 There is no evidence of an interaction between the effects of Cb and B (p = 0.64 and 0.44, for breast and breast/axilla, respectively). Conclusions: Preliminary results suggest that adding Cb or B to standard NAC significantly increases pCR rates in stage II-III TNBC. These increases are additive, with pCR (breast) in 60.6% and pCR (breast/axilla) in 50% of pts who received both. Complete and confirmed results will be reported, including pCR rates for basal-like tumors vs. not. Pts will be followed for RFS/OS to assess the impact of pCR on these endpoints. Conduct of the trial was supported by grants from the NIH (ACTNOW and CA31946/CA33601), Genentech and the BCRF. Clinical trial information: NCT00861705. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr S5-01.
Die Verkehrspolitik der Europaeischen Gemeinschaft in Zusammenhang mit den politischen und oekono... more Die Verkehrspolitik der Europaeischen Gemeinschaft in Zusammenhang mit den politischen und oekonomischen Veraenderungen in Mittel- und Osteuropa wird kurz erlaeutert, wobei vor allem auf die durch die Vereinigung mit der BRD entstandene besondere Situation in der ehemaligen DDR sowie die Lage in Polen, Tschechien, Ungarn und der Slowakei eingegangen wird.
Das Heft enthaelt unter anderem folgende Beitraege: Hahn,O: Integration Europas - gemeinsamer Mar... more Das Heft enthaelt unter anderem folgende Beitraege: Hahn,O: Integration Europas - gemeinsamer Markt und Oeffnung der Grenzen im Osten (IDS-Nummer 331947); Tombor,S: Strassennetzentwicklungtendenzen in Ungarn, Verkehrssituation Ungarns (IDS-Nummer 331948); Machart,M: Integrationstendenzen in Europa und Oeffnung der Grenzen zum Osten (IDS-Nummer 331949); Hanreich,G: Die oesterreichische Verkehrspolitik angesichts der Veraenderungen im osteuropaeischen Raum (IDS-Nummer 331950).
Background: CALGB (Alliance) 40603 measured the effects of adding carboplatin (Cb) and/or bevaciz... more Background: CALGB (Alliance) 40603 measured the effects of adding carboplatin (Cb) and/or bevacizumab (Bev) to standard neoadjuvant chemotherapy (weekly paclitaxel x 12 then doxorubicin/cyclophosphamide every 2 weeks x 4) on pathologic complete response (pCR) rates in stage II-III triple-negative breast cancer (TNBC). As previously reported (Sikov et al, JCO 2015), pCR breast (ypT0/is) and pCR breast/axilla (pCR Br/Ax) (ypT0/isN0) rates increased from 46% to 60% and 41% to 54%, respectively, with Cb and from 48% to 59% and 44% to 52%, respectively, with Bev. Secondary endpoints included event-free survival (EFS) and overall survival (OS). Methods: EFS is measured from study entry to ipsilateral invasive breast or locoregional recurrence, distant recurrence or death from any cause and OS from study entry to death from any cause in all patients (pts) who started study treatment. Pts without an event were censored as of their last clinical assessment. Hazard ratios (HR) were calculated for pts who achieved pCR vs. not and for pts assigned to receive drug (Cb or Bev) vs. not. All p-values are 2-sided. Results: 443 pts started study treatment. Median follow-up was 39 months (range 28-66). 110 EFS events and 77 deaths have been reported. At 3 yrs, overall EFS was 74.1% and OS 83.2%. Pts who achieved pCR breast had 3-yr EFS of 84.8% vs. 61.8% for those who did not. Table 1 shows the association between pCR and pCR or minimal residual invasive disease (Residual Cancer Burden Class I (RCB I), Symmans et al, JCO 2007) and outcomes; p-values for all comparisons <0.0001: Table 1 pCR BreastpCR Br/AxpCR Br/Ax or RCB IYes/No N (%)231 (52%)/212 (48%)207 (47%)/236 (53%)266 (60%)/177 (40%)EFS-HR0.33 (0.22-0.50)0.30 (0.19-0.46)0.29 (0.20-0.43)OS-HR0.28 (0.17-0.46)0.20 (0.11-0.36)0.21 (0.13-0.34) Pts assigned to Cb vs. not had 3-yr EFS 76.5% vs. 71.6% and OS 81.9% vs. 84.6%. Pts assigned to Bev vs. not had 3-yr EFS 75.5% vs. 72.9% and OS 85.5% vs. 80.9%. Table 2 shows HRs by assigned treatment: Table 2 CbBevN (Yes/No)225/218222/221EFS - HR0.84 (0.58-1.22) p=0.360.80 (0.55-1.17) p=0.25OS - HR1.15 (0.74-1.79) p=0.530.76 (0.49-1.19) p=0.23 Conclusions: Pts with TNBC who achieved pCR with study treatment had significantly better EFS and OS than pts who did not, consistent with findings from a published meta-analysis (Cortazar et al, Lancet 2014); the addition of RCB I did not weaken this association. Our study was not powered to assess the impact of Cb or Bev on these endpoints. While our findings are consistent with predictions from the meta-analysis as to the impact of raising the pCR rate on EFS (Berry-Hudis, JAMA Oncology 2015), the wide confidence intervals illustrate the challenge of conclusively demonstrating a correlation between pCR increment and EFS benefit, especially as the control pCR rate rises. While the addition of Bev has failed to improve long-term outcomes in TNBC in large randomized adjuvant trials, our results support ongoing and planned neoadjuvant and adjuvant studies designed to further assess the value of Cb-containing regimens in stage II-III TNBC. Support: U10s - CA180821, CA180882, CA180820, CA076001, CA025224, CA180868, CA180888. Citation Format: Sikov WM, Berry DA, Perou CM, Singh B, Cirrincione CT, Tolaney SM, Somlo G, Port ER, Qamar R, Sturtz K, Mamounas E, Golshan M, Bellon JR, Collyar D, Hahn OM, Carey LA, Hudis CA, Winer EP. Event-free and overall survival following neoadjuvant weekly paclitaxel and dose-dense AC +/- carboplatin and/or bevacizumab in triple-negative breast cancer: Outcomes from CALGB 40603 (Alliance). [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr S2-05.
TPS110 Background: While the prognosis for patients (pts) with triple-negative breast cancer (TNB... more TPS110 Background: While the prognosis for patients (pts) with triple-negative breast cancer (TNBC) remains poor, survival in TNBC pts who achieve a pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) equals that of others (Liedtke, JCO 2008). Thus, pCR may be a useful surrogate to evaluate novel treatment approaches in TNBC, and may aid in the identification of characteristics predictive of response. Based on preclinical and clinical data, CALGB 40603 is designed to determine if the addition of carboplatin (Cb) and/or bevacizumab (B) to standard NAC raises the pCR rate from an estimated 35% to ≥55%. Secondary endpoints include assessment of residual cancer burden in non-pCR pts, incidence and severity of adverse events, surgical and radiation practice patterns following NAC, and disease-free and overall survival. Mandatory pretreatment research biopsies will permit assessment of the impact of intrinsic subtypes defined by gene expression array and a wide array of other genomic and classi...
Support: U10CA180821, U10CA180882 Background: The addition of either carboplatin (Cb) or bevacizu... more Support: U10CA180821, U10CA180882 Background: The addition of either carboplatin (Cb) or bevacizumab (Bev) to standard neoadjuvant chemotherapy (NACT) increases pCR rates in TNBC overall and in the dominant subset of basal-like cancers (Sikov et al, JCO 2015; Sikov et al, SABCS 2014). Multigene expression signatures more accurately reflect tumor biology for response prediction and prognosis than individual gene expression. We evaluated the ability of multivariate analysis of gene expression signatures to create predictive models for achievement of pCR in TNBC. Methods: RNA sequencing was successful on 389 pretreatment samples from patients with available pCR data, and used to assign PAM50 subtype and calculate gene signatures scores for 489 published expression signatures. Elastic net, a penalized regression model for high dimensional variable selection, was used to select features associated with pCR in all TNBC and in the basal-like subset. Models were derived in a training set (2/3 of samples) and validated in a separate test set (1/3). A separate model was derived using 196 TNBC samples from patients treated only on the standard NACT +/- Cb arms for application to external TNBC neoadjuvant data sets not treated with Bev. Results: Consistent with our prior partial data set, 343 (88%) of the cancers were classified basal-like, in whom the in breast pCR rate was 54%; the remainder were classified normal-like (n=32) or HER2-enriched (n=14) with a non-basal pCR rate of 56%. Elastic Net analysis in all TNBC generated a model of 23 signatures and treatment assignment with 68% sensitivity and 64% specificity. The area under the curve was 0.64 (p-value=0.0019). Nineteen modules, including immune cell signatures (Th1, NK, IgG), immunoglobulin variable region expression, addition of Cb and Bev and expression of genes at regions 15q25, 17p11.2-13.3, and 8p22 were positively associated with response. The latter two regions are associated with aggressive breast cancer, and while not part of the 17p13 signature, this region contains TP53, a gene important in TNBC. Six modules were associated with resistance, including luminal progenitor, TGFB, NOTCH, FOS/JUN, 8p amplicon, and eosinophil signatures. When limited to basal-like samples, a model including 32 modules and addition of Cb and Bev was generated, with 62.3% sensitivity and 59.1% specificity. Seventeen features were selected in both models. Omitting Bev-treated patients, a model using just the gene expression signatures was developed. The predictive value of this model will be assessed using an external cohort of TNBC patients treated with neoadjuvant docetaxel and Cb (NCT01560663) and results presented. Conclusions: Multivariate analysis of gene expression signatures derived from pretreatment samples enabled the construction of models to predict achievement of pCR in TNBC. These models performed well on our test set, and will be assessed for their predictive ability in other TNBC data sets. If validated by future analyses, this could help us identify patients likely to achieve pCR with standard NACT and may benefit from the addition of agents such as Cb or Bev. ClinicalTrials.gov Identifier: NCT00861705. Citation Format: Hoadley KA, Hyslop T, Fan C, Berry DA, Hahn O, Tolaney SM, Sikov WM, Perou CM, Carey LA. Multivariate analysis of subtype and gene expression signatures predictive of pathologic complete response (pCR) in triple-negative breast cancer (TNBC): CALGB 40603 (Alliance) [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr PD1-03.
Background: Anthracycline- and taxane-based neoadjuvant chemotherapy (NAC) results in a pCR in 30... more Background: Anthracycline- and taxane-based neoadjuvant chemotherapy (NAC) results in a pCR in 30-35% of TNBC patients (pts), which is associated with improved recurrence-free and overall survival (RFS/OS). Thus, pCR rates may be useful in evaluating novel regimens in TNBC. In advanced TNBC, platinum analogues like Cb are active and addition of B to chemotherapy increases response rates and time to progression. CALGB 40603 is a 2×2 randomized phase II study designed to determine if the addition of either Cb or B to standard NAC significantly increases pCR rates in TNBC. Methods: Pts had operable clinical stage II-III TNBC, defined as hormone receptors <10% and HER2 IHC 0-1+ or FISH <2.0 in IHC 2+. Pretreatment biopsies for correlative studies were required. Using a factorial design, pts received P 80 mg/m2 weekly x 12 followed by doxorubicin 60 mg/m2 and cyclophosphamide 600 mg/m2 q2wks x 4 (ddAC) with or without Cb AUC 6 q3wks x 4 during P and with or without B 10 mg/kg q2wks x 9. Surgery was performed 4-8 wks later. Post-op therapy was not specified. The primary endpoint is pCR (breast), defined as the absence of residual invasive disease (ypT0/is). Secondary endpoints include pCR (breast/axilla) (ypT0/isN0), toxicities, adverse events (AEs), RFS and OS. The primary analysis is factorial for main effects of Cb and B and their interaction; statistical power assumed no interaction. Analysis is by intent-to-treat; pts not taken to surgery are considered non-pCRs. Results: 454 pts enrolled, median age 48, stage II 68%/stage III 32%. Of 354 pts with treatment data, 59 did not complete NAC, 30 withdrew due to AEs, more often with B vs. not (11.5% vs. 3.5%). B was discontinued in 23% of assigned pts vs. 6-13% for other agents. Grade 3-4 neutropenia (56% vs. 20%) and thrombocytopenia (22% vs. 4%) were more common with Cb vs. not, while grade 3 hypertension was more common with B vs. not (11% vs. <1%). Febrile neutropenia, usually during ddAC, was more common in pts who received both Cb and B (19% vs. others 7%). Unaudited pCR results for the first 369 pts, with effects reported as increments in pCR (95% CI), assuming no interaction, are as follows: pCR (breast) pCR (breast/axilla) No CbCbB effectNo CbCbB effectNo B30/89 33.7%44/94 47.8%14.9% (4.8-25.0%)25/89 28.2%39/92 42.4%10.5% (0.5-20.5%)B48/94 51.1%57/94 60.6%p = 0.00440/94 42.6%47/94 50.0%p = 0.031Cb effect11.7% (1.6-21.8%) p = 0.022 10.3% (0.3-20.3%) p = 0.034 There is no evidence of an interaction between the effects of Cb and B (p = 0.64 and 0.44, for breast and breast/axilla, respectively). Conclusions: Preliminary results suggest that adding Cb or B to standard NAC significantly increases pCR rates in stage II-III TNBC. These increases are additive, with pCR (breast) in 60.6% and pCR (breast/axilla) in 50% of pts who received both. Complete and confirmed results will be reported, including pCR rates for basal-like tumors vs. not. Pts will be followed for RFS/OS to assess the impact of pCR on these endpoints. Conduct of the trial was supported by grants from the NIH (ACTNOW and CA31946/CA33601), Genentech and the BCRF. Clinical trial information: NCT00861705. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr S5-01.
Die Verkehrspolitik der Europaeischen Gemeinschaft in Zusammenhang mit den politischen und oekono... more Die Verkehrspolitik der Europaeischen Gemeinschaft in Zusammenhang mit den politischen und oekonomischen Veraenderungen in Mittel- und Osteuropa wird kurz erlaeutert, wobei vor allem auf die durch die Vereinigung mit der BRD entstandene besondere Situation in der ehemaligen DDR sowie die Lage in Polen, Tschechien, Ungarn und der Slowakei eingegangen wird.
Das Heft enthaelt unter anderem folgende Beitraege: Hahn,O: Integration Europas - gemeinsamer Mar... more Das Heft enthaelt unter anderem folgende Beitraege: Hahn,O: Integration Europas - gemeinsamer Markt und Oeffnung der Grenzen im Osten (IDS-Nummer 331947); Tombor,S: Strassennetzentwicklungtendenzen in Ungarn, Verkehrssituation Ungarns (IDS-Nummer 331948); Machart,M: Integrationstendenzen in Europa und Oeffnung der Grenzen zum Osten (IDS-Nummer 331949); Hanreich,G: Die oesterreichische Verkehrspolitik angesichts der Veraenderungen im osteuropaeischen Raum (IDS-Nummer 331950).
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