Biomarker Data from KATHERINE: A Phase III Study of Adjuvant Trastuzumab Emtansine versus Trastuzumab in Patients with Residual Invasive Disease after Neoadjuvant Therapy for HER2-Positive Breast Cancer
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PROVIDER: EGAS00001006229 | EGA |
REPOSITORIES: EGA
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Project description:Background: Central nervous system (CNS) metastases represent a major problem in the treatment of HER2-positive breast cancer due to the disappointing efficacy of HER2-targeted therapies in the brain microenvironment. The antibody-drug conjugate ado-trastuzumab emtansine (T-DM1) has shown efficacy in trastuzumab-resistant systemic breast cancer. Here, we tested the hypothesis that T-DM1 could overcome trastuzumab resistance in preclinical models of brain metastases. Methods: We treated mice bearing BT474 or MDA-MB-361 tumors in the CNS (N=9-11 per group), or cancer cells grown in organotypic brain slice cultures with trastuzumab or T-DM1 at equivalent or equipotent doses. Using intravital imaging, molecular techniques and histological analysis we determined tumor growth, mouse survival, cancer cell apoptosis and proliferation, tumor drug distribution, and HER2 signaling. All statistical tests were two-sided. Results: T-DM1 significantly delayed the growth of HER2-positive breast cancer brain metastases compared to trastuzumab. These findings were consistent between HER2-driven and PI3K-driven tumors. The activity of T-DM1 resulted in a striking survival benefit (median survival for BT474 tumors: 28d for trastuzumab vs 112d for T-DM1, HR=6.2, 95% CI=6.1 to 85.84; P<.001). No difference in drug distribution and HER2-signaling was revealed between the two groups. However, T-DM1 led to a significant increase in tumor cell apoptosis (One-way ANOVA for ApopTag, p<.001), which was associated with mitotic catastrophe. Conclusions: T-DM1 can overcome resistance to trastuzumab therapy in HER2-driven and PI3K-driven breast cancer brain lesions due to the cytotoxicity of the DM1 component. Clinical investigation of T-DM1 for patients with CNS metastases from HER2-positive breast cancer is warranted. Comparison of trastuzumab (n=4) and TDM-1 (n=4) treated BT-474 human breast carcinoma cells growing in murine brain
2015-11-09 | E-GEOD-69042 | biostudies-arrayexpress
Project description:Background: Central nervous system (CNS) metastases represent a major problem in the treatment of HER2-positive breast cancer due to the disappointing efficacy of HER2-targeted therapies in the brain microenvironment. The antibody-drug conjugate ado-trastuzumab emtansine (T-DM1) has shown efficacy in trastuzumab-resistant systemic breast cancer. Here, we tested the hypothesis that T-DM1 could overcome trastuzumab resistance in preclinical models of brain metastases. Methods: We treated mice bearing BT474 or MDA-MB-361 tumors in the CNS (N=9-11 per group), or cancer cells grown in organotypic brain slice cultures with trastuzumab or T-DM1 at equivalent or equipotent doses. Using intravital imaging, molecular techniques and histological analysis we determined tumor growth, mouse survival, cancer cell apoptosis and proliferation, tumor drug distribution, and HER2 signaling. All statistical tests were two-sided. Results: T-DM1 significantly delayed the growth of HER2-positive breast cancer brain metastases compared to trastuzumab. These findings were consistent between HER2-driven and PI3K-driven tumors. The activity of T-DM1 resulted in a striking survival benefit (median survival for BT474 tumors: 28d for trastuzumab vs 112d for T-DM1, HR=6.2, 95% CI=6.1 to 85.84; P<.001). No difference in drug distribution and HER2-signaling was revealed between the two groups. However, T-DM1 led to a significant increase in tumor cell apoptosis (One-way ANOVA for ApopTag, p<.001), which was associated with mitotic catastrophe. Conclusions: T-DM1 can overcome resistance to trastuzumab therapy in HER2-driven and PI3K-driven breast cancer brain lesions due to the cytotoxicity of the DM1 component. Clinical investigation of T-DM1 for patients with CNS metastases from HER2-positive breast cancer is warranted.
2015-11-09 | GSE69042 | GEO
Project description:<p><b><u>Background</u></b><br/> National Surgical Adjuvant Breast and Bowel Project (NSABP) trial B-31 suggested the efficacy of adjuvant trastuzumab, even in HER2-negative breast cancer. This finding prompted us to develop a predictive model for degree of benefit from trastuzumab using archived tumor blocks from B-31. </p> <p><b><u>Methods</u></b><br/> Case subjects with tumor blocks were randomly divided into discovery (n = 588) and confirmation cohorts (n = 991). A predictive model was built from the discovery cohort through gene expression profiling of 462 genes with nCounter assay. A predefined cut point for the predictive model was tested in the confirmation cohort. Gene-by-treatment interaction was tested with Cox models, and correlations between variables were assessed with Spearman correlation. Principal component analysis was performed on the final set of selected genes. All statistical tests were two-sided. </p> <p><b><u>Results</u></b><br/> Eight predictive genes associated with HER2 (ERBB2, c17orf37, GRB7) or ER (ESR1, NAT1, GATA3, CA12, IGF1R) were selected for model building. Three-dimensional subset treatment effect pattern plot using two principal components of these genes was used to identify a subset with no benefit from trastuzumab, characterized by intermediate-level ERBB2 and high-level ESR1 mRNA expression. In the confirmation set, the predefined cut points for this model classified patients into three subsets with differential benefit from trastuzumab with hazard ratios of 1.58 (95% confidence interval [CI] = 0.67 to 3.69; P = .29; n = 100), 0.60 (95% CI = 0.41 to 0.89; P = .01; n = 449), and 0.28 (95% CI = 0.20 to 0.41; P < .001; n = 442; P interaction between the model and trastuzumab < .001). </p> <p><b><u>Conclusions</u></b><br/> We developed a gene expression-based predictive model for degree of benefit from trastuzumab and demostrated that HER2-negative tumors belong to the moderate benefit group, thus providing justification for testing trastuzumab in HER2-negative patients (NSABP B-47).</p> <p>** Reprinted from J Natl Cancer Inst;2013;105:1782-1788 with permission from Oxford University Press.</p>
| phs000826 | dbGaP
Project description:There is clinical need to predict sensitivity of metastatic hormone receptor-positive and HER2-negative (HR+/HER2-) breast cancer to endocrine therapy, and targeted RNA sequencing (RNAseq) offers diagnostic potential to measure both transcriptional activity and functional mutation. We developed the SET ER/PR index to measure gene expression microarray probe sets that were correlated with hormone receptors (ESR1 and PGR) and robust to pre-analytical and analytical influences. We tested SET ER/PR index in biopsies of metastastic HR+/HER2- breast cancer against the treatment outcomes in 140 patients. Then we customized the SETER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SET ER/PR index in metastatic samples predicted longer progression-free (PFS) and overall survival (OS) when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.534, 95% CI 0.299 to 0.955, p = 0.035; OS: HR 0.315, 95% CI 0.157 to 0.631, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1% to 98% of ESR1 transcripts (all had high SETER/PR index). A signature based on probe sets with good pre-analytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SET ER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2- breast cancer, especially in the absence of mutated ESR1 transcript. We tested SET ER/PR index in biopsies of metastastic HR+/HER2- breast cancer against the treatment outcomes in 140 patients. Then we customized the SET ER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SET ER/PR index in metastatic samples predicted longer progression-free (PFS) and overall survival (OS) when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.485, 95% CI 0.265 to 0.889, p = 0.019; OS: HR 0.314, 95% CI 0.155 to 0.637, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1% to 98% of ESR1 transcripts (all had high SET ER/PR index). A signature based on probe sets with good pre-analytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SET ER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2- breast cancer, especially in the absence of mutated ESR1 transcript.
2019-05-30 | GSE124647 | GEO
Project description:Faratian2009 - Role of PTEN in Trastuzumab
resistance
This model is described in the article:
Systems biology
reveals new strategies for personalizing cancer medicine and
confirms the role of PTEN in resistance to trastuzumab.
Faratian D, Goltsov A, Lebedeva G,
Sorokin A, Moodie S, Mullen P, Kay C, Um IH, Langdon S, Goryanin
I, Harrison DJ.
Cancer Res. 2009 Aug; 69(16):
6713-6720
Abstract:
Resistance to targeted cancer therapies such as trastuzumab
is a frequent clinical problem not solely because of
insufficient expression of HER2 receptor but also because of
the overriding activation states of cell signaling pathways.
Systems biology approaches lend themselves to rapid in silico
testing of factors, which may confer resistance to targeted
therapies. Inthis study, we aimed to develop a new kinetic
model that could be interrogated to predict resistance to
receptor tyrosine kinase (RTK) inhibitor therapies and directly
test predictions in vitro and in clinical samples. The new
mathematical model included RTK inhibitor antibody binding,
HER2/HER3 dimerization and inhibition, AKT/mitogen-activated
protein kinase cross-talk, and the regulatory properties of
PTEN. The model was parameterized using quantitative
phosphoprotein expression data from cancer cell lines using
reverse-phase protein microarrays. Quantitative PTEN protein
expression was found to be the key determinant of resistance to
anti-HER2 therapy in silico, which was predictive of unseen
experiments in vitro using the PTEN inhibitor bp(V). When
measured in cancer cell lines, PTEN expression predicts
sensitivity to anti-HER2 therapy; furthermore, this
quantitative measurement is more predictive of response
(relative risk, 3.0; 95% confidence interval, 1.6-5.5; P <
0.0001) than other pathway components taken in isolation and
when tested by multivariate analysis in a cohort of 122 breast
cancers treated with trastuzumab. For the first time, a systems
biology approach has successfully been used to stratify
patients for personalized therapy in cancer and is further
compelling evidence that PTEN, appropriately measured in the
clinical setting, refines clinical decision making in patients
treated with anti-HER2 therapies.
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2024-09-02 | BIOMD0000000424 | BioModels
Project description:Background: It is critical to identify biomarkers for treatment tailoring in HER2-amplified early breast cancer treated with trastuzumab/pertuzumab-based chemotherapy. Patients and methods: Among the 225 patients randomized to trastuzumab/pertuzumab concurrently or sequentially with an anthracycline-containing regimen or concurrently with an anthracycline-free regimen in the Tryphaena trial, we evaluated TILs at baseline in 213 patients of whom 126 with pathological complete response, pCR (ypT0/is ypN0) and 28 with Event Free Survival, EFS events. We computed associations between baseline TILs and either pCR or EFS after adjusting for clinicopathological characteristics using logistic and Cox regression models, respectively. To understand TILs biology, we evaluated associations between baseline TILs and baseline tumor gene expression data (800 gene set by NanoString) in a subset of 173 patients. Results: Among the 213 patients with evaluable TILs at baseline, the median level of TILs was 14% (interquartile range, IQR, 7-32%). After adjusting for clinicopathological characteristics, baseline TILs were not associated with pCR (adjusted odds ratio for every 10% increase in TILs aOR 1.12, 95%CI 0.95-1.31, p=0.17). At a median follow-up of 4.7 years, for every increase in baseline TILs of 10 percentage units there was a 25% reduction in the hazard of the EFS event (adjusted hazard ratio 0.75, 95%CI 0.56-1.00, p=0.05) after adjusting for baseline clinicopathological characteristics and pCR. Genes associated with Epithelial-Mesenchymal Transition (EMT) such as SNAIL1, TWIST1, ZEB1, B7-H3 and NOTCH3 were significantly anti-correlated with TILs. Conclusions: Baseline TILs provide independent prognostic information in patients treated with trastuzumab/pertuzumab-based neoadjuvant chemotherapy. Further validation is needed.
2018-04-01 | GSE109710 | GEO
Project description:Trastuzumab, a humanized monoclonal antibody directed to the HER2 protein, is the standard-of-care treatment for patients with HER2 positive breast cancer, reducing the risk of relapse and death in patients. Nonetheless, some patients do not benefit from this treatment, underscoring the need to identify patients for whom chemotherapy + trastuzumab is adequate versus patients requiring additional drugs. The series comprised 24 incisional biopsies of breast carcinomas derived from patients that received neoadjuvant trastuzumab based therapy. Gene expression profiling was performed using RNA from frozen core biopsies from 24 patients with primary HER2-positive (HER2+) tumors treated with neoadjuvant chemotherapy and trastuzumab.
2016-03-31 | E-GEOD-62327 | biostudies-arrayexpress
Project description:There is clinical need to predict sensitivity of metastatic hormone receptor-positive and HER2-negative (HR+/HER2-) breast cancer to endocrine therapy, and targeted RNA sequencing (RNAseq) offers diagnostic potential to measure both transcriptional activity and functional mutation. We developed the SETER/PR index to measure gene expression microarray probe sets that were correlated with hormone receptors (ESR1 and PGR) and robust to pre-analytical and analytical influences. We tested SETER/PR index in biopsies of metastastic HR+/HER2- breast cancer against the treatment outcomes in 140 patients. Then we customized the SETER/PR assay to measure 18 informative, 10 reference transcripts, and sequence the ligand binding domain (LBD) of ESR1 using droplet-based targeted RNAseq, and tested that in residual RNA from 53 patients. Higher SETER/PR index in metastatic samples predicted longer progression-free (PFS) and overall survival (OS) when patients received endocrine therapy as next treatment, even after adjustment for clinical-pathologic risk factors (PFS: HR 0.534, 95% CI 0.299 to 0.955, p = 0.035; OS: HR 0.315, 95% CI 0.157 to 0.631, p = 0.001). Mutated ESR1 LBD was detected in 8/53 (15%) of metastases, involving 1% to 98% of ESR1 transcripts (all had high SETER/PR index). A signature based on probe sets with good pre-analytical and analytical performance facilitated our customization of an accurate targeted RNAseq assay to measure both phenotype and genotype of ER-related transcription. Elevated SETER/PR was associated with prolonged sensitivity to endocrine therapy in patients with metastatic HR+/HER2- breast cancer, especially in the absence of mutated ESR1 transcript.
2019-05-30 | GSE124648 | GEO
Project description:Objective: Trastuzumab has been used for the treatment of HER2-positive breast cancer (BC). However, a subset of BC patients exhibited resistance to trastuzumab therapy. Thus, clarifying the molecular mechanism of trastuzumab treatment will be beneficial to improve the treatment of HER2-positive BC patients. In this study, we identified trastuzumab-responsive microRNAs that are involved in the therapeutic effects of trastuzumab. Methods and results: RNA samples were obtained from HER2-positive (SKBR3 and BT474) and HER2-negetive (MCF7 and MDA-MB-231) cells with and without trastuzumab treatment for 6 days. Next, we conducted a microRNA profiling analysis using these samples to screen those microRNAs that were up- or downregulated only in HER2-positive cells. This analysis identified miR-26a and miR-30b as trastuzumab-inducible microRNAs. Transfecting miR-26a and miR-30b induced cell growth suppression in the BC cells by 40% and 32%, respectively. A cell cycle analysis showed that these microRNAs induced G1 arrest in HER2-positive BC cells as trastuzumab did. An Annexin-V assay revealed that miR-26a but not miR-30b induced apoptosis in HER2-positive BC cells. Using the prediction algorithms for microRNA targets, we identified cyclin E2 (CCNE2) as a target gene of miR-30b. A luciferase-based reporter assay demonstrated that miR-30b post-transcriptionally reduced 27% (p=0.005) of the gene expression by interacting with two binding sites in the 3’-UTR of CCNE2. Conclusion: In BC cells, trastuzumab modulated the expression of a subset of microRNAs, including miR-26a and miR-30b. The upregulation of miR-30b by trastuzumab may play a biological role in trastuzumab-induced cell growth inhibition by targeting CCNE2. We obtained microRNA expression profiles of breast cancer cell lines, MCF7, MDA-MB-231, SKBR3, and BT474, with or without trastuzumab (4microgram/mL) treatment.
2012-06-02 | E-GEOD-38415 | biostudies-arrayexpress
Project description:Trastuzumab, a humanized monoclonal antibody directed to the HER2 protein, is the standard-of-care treatment for patients with HER2 positive breast cancer, reducing the risk of relapse and death in patients. Nonetheless, some patients relapse after treatment, underscoring the need to identify patients for whom chemotherapy + trastuzumab is adequate versus patients requiring additional drugs. To search for genes predictive of relapse in HER2-positive breast carcinoma patients treated with adjuvant trastuzumab, we conducted gene expression profiling analysis in 53 cases treated in the clinic with doxorubicin/paclitaxel (AT) followed by cyclophosphamide/methotrexate/fluorouracil (CMF) and trastuzumab. Gene expression profiling was performed using RNA from formalin-fixed paraffin-embedded tissues from 53 patients with primary HER2-positive (HER2+) tumors. The series consists in 23 relapsed and 30 non-relapsed cases with similar clinical-pathological characteristics (size, pathological lymph node involvement and estrogen receptor positivity) (3-year median follow up).
2015-10-19 | E-GEOD-55348 | biostudies-arrayexpress