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  • American Association for Cancer Research (AACR)  (3)
  • 2015-2019  (3)
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  • American Association for Cancer Research (AACR)  (3)
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  • 2015-2019  (3)
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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 9_Supplement ( 2015-05-01), p. P5-19-01-P5-19-01
    Abstract: Background: Afatinib is an oral, irreversible ErbB family blocker with anti-tumour activity in patients (pts) with HER2-positive metastatic breast cancer (MBC) after failure on trastuzumab.1 Preclinically, afatinib + vinorelbine (AV) showed an additive effect; clinically, the AV combination had a manageable safety profile and showed activity in two Phase I trials.2,3 This randomized, open-label, Phase III trial (LUX-Breast 1) compared AV with trastuzumab + vinorelbine (TV) in pts with HER2-positive MBC who had progressed on a prior T-based regimen. Methods: Pts with HER2-positive MBC and failure of one T-based regimen (adjuvant/first-line) were randomized 2:1 to AV (40 mg/day oral + 25 mg/m2/week iv) or TV (2 mg/kg/week iv after 4 mg/kg loading dose + 25 mg/m2/week iv). Treatment continued until progressive disease (PD) or unacceptable adverse events (AEs). The primary endpoint was progression-free survival (PFS) by investigator review; secondary endpoints included objective response rate (ORR), overall survival (OS) and safety. Planned accrual was 780 pts. Results Between August 2010 and April 2013, 508 patients were randomized (AV:339, TV:169). Baseline characteristics were balanced in both arms (mean age 52 yrs, Asian 50.6%, White 41.6%, ER/PR positive 28.7%). 41.1% of pts failed on prior adjuvant and 58.9% on 1st line T-based treatment. A pre-planned risk/benefit assessment was found unfavorable by the DMC and recruitment was stopped. Pts ongoing on AV therapy were switched to TV, received A or V monotherapy, or stopped treatment. Primary endpoint analysis was performed with 307 of the originally 484 planned PFS events (211 [62.2%] AV arm; 96 [56.8%] TV arm). Median PFS was 5.5 months with AV vs 5.6 months with TV (HR 1.10; 95% CI 0.86, 1.41; P=0.4272). ORR was 46.1% with AV and 47.0% with TV (OR 1.04; 95% CI 0.71, 1.51; P=0.8510). OS analysis was based on 144 (28.4%) OS events (108 [31.9%] in AV arm; 36 [21.3%] in TV arm). Median OS was 19.6 months with AV and 28.6 months with TV (HR 1.76; 95% CI 1.20, 2.59; P=0.0036). The most common drug-related AEs were diarrhea (80.1%), neutropenia (75.1%) and rash (45.1%) with AV, and neutropenia (78.7%), leukopenia (37.3%) and anemia (27.8%) with TV. Rate of infections (53.0% vs 40.5%) was higher with AV vs TV. More AV than TV pts discontinued due to AEs (15.4% vs 7.1%). Fatal AEs were reported for 18 (5.3%) in the AV vs 5 (3.0%) pts in the TV arm, and were mainly associated with PD (9 pts in AV and 1 in TV arm). Three AV pts died due to treatment-related causes (sepsis/multi-organ failure; septic shock; pulmonary fibrosis). Conclusions: AV and TV demonstrated similar PFS and ORR, but OS diverged and was shorter for AV compared to TV in pts with HER2-positive MBC. The safety profile of AV was consistent with the individual monotherapies, but its tolerability compared unfavorably to TV. Analyses are ongoing to elucidate potential factors (e.g. impact of follow up treatments) contributing to the diverging PFS and OS outcomes. 1. Lin NU et al. Breast Cancer Res Treat 2012;133:1057-65 2. Bahleda R et al. J Clin Oncol 2011;29; abs 2585 3. Masuda N et al. SABCS 2013 abs P4-16-11. Citation Format: Nadia Harbeck, Chiun-Sheng Huang, Sara Hurvitz, Dah-Cherng Yeh, Zhimin Shao, Seock-Ah Im, Kyung Hae Jung, Kunwei Shen, Jungsil Ro, Jacek Jassem, Qingyuan Zhang, Young-Hyuck Im, Marek Wojtukiewicz, Qiang Sun, Shin-Cheh Chen, Rainer-Georg Goeldner, Annick Lahogue, Martina Uttenreuther-Fischer, Binghe Xu, Martine Piccart-Gebhart, on Behalf of the LUX-Breast 1 Study Group. Randomized Phase III trial of afatinib plus vinorelbine versus trastuzumab plus vinorelbine in patients with HER2-overexpressing metastatic breast cancer who had progressed on one prior trastuzumab treatment: LUX-Breast 1 [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P5-19-01.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 3129-3129
    Abstract: Background: The WNT/ β-catenin signaling pathway has been shown to play a key role in both normal development and tumorigenesis (Polakis, 2007; MacDonald et al., 2009). We have developed a monoclonal antibody, vantictumab, that blocks canonical WNT/β-catenin signaling through binding of five FZD receptors (1, 2, 5, 7, 8). This antibody inhibits the growth of several tumor types, including pancreas, breast, colon and lung. Furthermore, our studies showed that vantictumab reduces tumor-initiating cell frequency and exhibits synergistic activity with standard-of-care (SOC) chemotherapeutic agents (Gurney et al., 2012). Material and methods: We set out to identify a predictive biomarker for the response to vantictumab in pancreatic cancer patients by analyzing mRNA-seq gene expression data from 14 patient-derived xenograft (PDX) models. These 14 minimally passaged pancreatic xenograft tumors were tested in vivo and their responses to vantictumab, in combination with the current SOC gemcitabine and nab-paclitaxel were established. Samples from these experiments were collected for Pharmacodynamic (PD) biomarker analysis. We utilized a two-sample Welch's t-test to identify genes that can distinguish between responders and non-responders and the K-nearest neighbor (KNN, Altman 1992) algorithm for classification. A leave-one-out cross-validation was used to measure area under the ROC curve (Fawcett et al., 2006, AUC), accuracy (ACC), positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity of the model. Results: PD biomarker analysis confirmed inhibition of genes in Wnt and stem cell pathways by vantictumab in combination with gemcitabine as well as gemcitabine plus nab-paclitaxel. The selected 3-gene signature comprising TGFB3, IGF2 and SMO achieved the best performance (AUC = 0.875, ACC = 0.93, PPV = 0.91, NPV = 1, sensitivity = 1, specificity = 0.75) in the 14 PDX pancreatic tumor models. In addition, a strong correlation between the gene signature biomarker and the ratio of tumor inhibition (RTI) in the pancreatic xenograft experiments was observed. The identified 3-gene biomarker was used to predict the response to vantictumab in combination with gemcitabine and nab-paclitaxel in three additional pancreatic PDX tumor models. The efficacy in the three models was successfully predicted by the biomarker. Conclusions: The 3-gene biomarker is being evaluated in a Phase 1b study of vantictumab in combination with gemcitabine and nab-paclitaxel in previously untreated stage IV pancreatic cancer (NCT02005315). Citation Format: CHUN ZHANG, Fiore Cattaruzza, Pete Yeung, Wan-Ching Yen, Marcus Fischer, Claire Guo, Alayne Brunner, Min Wang, Belinda Cancilla, Austin Gurney, Rainer Brachmann, John Lewicki, Tim Hoey, Ann M. Kapoun. Predictive biomarker identification for response to vantictumab (OMP-18R5; anti-Frizzled) using primary patient-derived human pancreatic tumor xenografts. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3129.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
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  • 3
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 14, No. 12_Supplement_2 ( 2015-12-01), p. A30-A30
    Abstract: Background: Vantictumab is a monoclonal antibody that blocks canonical WNT/β-catenin signaling through binding of five FZD receptors (1, 2, 5, 7, 8). This antibody inhibits the growth of several tumor types, reduces tumor-initiating cell frequency (TIC) and exhibits synergistic activity with standard-of-care (SOC) chemotherapeutic agents (Gurney et al., 2012). To target responsive patients and understand the mechanism of action of the drug, we set out to identify predictive and pharmacodynamic (PD) biomarkers of vantictumab in non-small cell lung cancer (NSCLC). Materials and methods: The response to vanticutmab was established from in vivo efficacy experiments including different treatment groups: control, vantictumab, paclitaxel and vantictumab in combination with paclitaxel. For combination treatment, same day dosing and sequential dosing (paclitaxel dosed 2 days after the antibody) were compared. Samples were collected for PD biomarker analysis. To identify a predictive biomarker for the response to vantictumab in NSCLC patients, gene expression data from 7 NSCLC patient derived xenograft (PDX) models was analyzed. We utilized support vector machine-recursive feature elimination (SVM-RFE, Guyon et al., 2002) to select genes and support vector machine (SVM) for classification. Results: Vantictumab showed significant tumor growth inhibition as a single agent as well as in combination with paclitaxel. The reduction of TIC and the antitumor efficacy of vantictumab were significantly enhanced with sequential dosing compared with same day dosing. These findings suggested that optimal synergy occurs using sequential dosing, likely due to enhanced blockade of cell cycle progression at mitosis. PD biomarker analysis confirmed inhibition of genes in Wnt, Notch, and stem cell pathways by vantictumab both as a single agent and also in combination with paclitaxel. Wnt pathway targets including AXIN2 and LEF1 were down-regulated significantly by vantictumab in both sequential dosing and same day dosing confirming the mechanism of action. From a series of 7 in vivo efficacy PDX experiments, LEF1 was identified as a predictive biomarker of vantictumab response and achieved the best performance with cross-validated positive predictive value (PPV) = negative predictive value (NPV) = sensitivity = specificity = 100%. Strong correlation was also observed between LEF1 gene expression and the ratio of tumor volume. Furthermore, LEF1 was able to successfully predict the response to vantictumab in 2 independent NSCLC PDX models. Prevalence estimation for LEF1 ranged from 35% to 50% based on public microarray datasets. LEF1 was also found to be significantly correlated with the response to vantictumab in combination with paclitaxel in 12 NSCLC PDX models (p = 0.0162), indicating LEF1 as a potential predictive biomarker of the response vantictumab as a single agent and in combination with SOC in NSCLC. Conclusions: A biomarker study for the pharmacodynamics and response to vantictumab was performed using a series of PDX NSCLC models. PD biomarkers were identified which confirmed the mechanism of action of vantictumab. LEF1 was identified as a predictive biomarker and is being evaluated in the Phase 1b study of vantictumab in combination with SOC in previously treated NSCLC: NCT01957007. Comprehensive PD and predictive biomarker data will be presented. Citation Format: CHUN ZHANG, Fiore Cattaruzza, Pete Yeung, Wan-Ching Yen, Marcus Fischer, Alayne Brunner, Min Wang, Belinda Cancilla, Rainer Brachmann, Tim Hoey, John Lewicki, Ann M. Kapoun. Predictive and pharmacodynamic biomarkers of vantictumab (OMP-18R5; anti-Frizzled) in non-small cell lung cancer. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2015 Nov 5-9; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl 2):Abstract nr A30.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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    SSG: 12
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