16 research outputs found
Targeting multiple tyrosine kinase receptors with Dovitinib blocks invasion and the interaction between tumor cells and cancer-associated fibroblasts in breast cancer
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Ioncopy: a novel method for calling copy number alterations in amplicon sequencing data including significance assessment
Recently, it has been demonstrated that calling of copy number alterations (CNAs) from amplicon sequencing (AS) data is feasible. Most approaches, however, require non-tumor (germline) DNA for data normalization. Here, we present the method Ioncopy for CNA detection which requires no normal controls and includes a significance assessment for each detected alteration. Ioncopy was evaluated in a cohort of 184 clinically annotated breast carcinomas. A total number of 252 amplifications were detected, of which 183 (72.6%) could be validated by a call of an additional amplicon interrogating the same gene. Moreover, a total number of 33 deletions were found, whereof 27 (81.8%) could be validated. Analyzing the 16 most frequently amplified genes, validation rates of over 89% could be achieved for 11 of these genes. 11 of the top 16 genes showed significant overexpression in the amplified tumors. 89.5% of the HER2-amplified tumors were GRB7 and STARD3 co-amplified, whereas 68.4% of the HER2-amplified tumors had additional MED1 amplifications. Correlations between CNAs measured by amplicons in HER2 exons 19, 20 and 21 were strong (all R > 0.93). AS based detection of HER2 amplifications had a sensitivity of 90.0% and a specificity of 98.8% compared to the gold standard of HER2 immunohistochemistry combined with in situ hybridization. In summary, we developed and validated a novel method for detection and significance assessment of CNAs in amplicon sequencing data. Using Ioncopy, AS offers a straightforward and efficient approach to simultaneously analyze gene amplifications and gene deletions together with simple somatic mutations in a single assay
The EndoPredict Gene-Expression Assay in Clinical Practice - Performance and Impact on Clinical Decisions.
The validated EndoPredict assay is a novel tool to predict the risk of metastases of patients with estrogen receptor positive, HER2 negative breast cancer treated with endocrine therapy alone. It has been designed to integrate genomic and clinical information and includes clinico-pathological factors such as tumor size and nodal status. The test is feasible in a decentral setting in molecular pathology laboratories. In this project, we investigated the performance of this test in clinical practice, and performed a retrospective evaluation of its impact on treatment decisions in breast cancer. During one year, EndoPredict assays from 167 patients could be successfully performed. For retrospective evaluation of treatment decisions, a questionnaire was sent to the clinical partner. Regarding the molecular EP class, samples from 56 patients (33.5%) had a low-risk, whereas 111 patients (66.5%) showed a high-risk gene profile. After integration of the clinicopathological factors the combined clinical and molecular score (EPclin) resulted in a low-risk group of 77 patients (46.4%), while 89 (53.6%) had a high risk EPclin score. The EPclin-based estimated median 10-year-risk for metastases with endocrine therapy alone was 11% for the whole cohort. The median handling time averaged three days (range: 0 to 11 days), 59.3% of the tests could be performed in three or less than three days. Comparison of pre- and post-test therapy decisions showed a change of therapy in 37.7% of patients. 16 patients (12.3%) had a change to an additional chemotherapy while 25.4% of patients (n = 33) changed to an endocrine therapy alone. In 73 patients (56.2%) no change of therapy resulted. In 6.1% of patients (n = 8), the patients did not agree to the recommendation of the tumor board. Our results show that the EndoPredict assay could be routinely performed in decentral molecular pathology laboratories and the results markedly change treatment decisions
Successful generation of patient derived xenografts and patient derived 3D cultures as preclinical models for breast cancer.
Comparison of Neoadjuvant Nab-Paclitaxe plus Carboplatin vs Nab-Paclitaxe plus Gemcitabine in Triple-Negative Breast Cancer: Randomized WSG-ADAPT-TN Trial Results
Background: Pathological complete response (pCR) is associated with improved prognosis in triple-negative breast cancer (TNBC). The optimal chemotherapy regimen is unclear. Weekly nab-paclitaxel vs conventional paclitaxel or addition of carboplatin to anthracycline-taxane results in higher pCR rates with uncertain survival impact. We evaluated carboplatin vs gemcitabine with a nab-paclitaxel backbone as a short 12-week A-free regimen with a focus on early response. Methods: Patients with TNBC (estrogen receptor/progesterone receptor 30% or < 500 invasive tumor cells in the three-week serial biopsy). All statistical tests were two-sided. Results: A total of 336 patients were enrolled (48 centers, arms A/B: n = 182/154). The median age was 50 years. At baseline (A vs B), 62.6% and 62.9% had cT2-4c tumors; 86.8% and 90.9% completed therapy per protocol, respectively. pCR favored arm B (28.7%, 95% CI = 0.22 to 0.36, vs 45.9%, 95% CI = 0.38 to 0.54; 95% CI(d(BA)) = 6.2% to 27.9%, P = .002) and was lower in nonresponders than in early responders (19.5% vs 44.4%, P < .001) or in patients with unclassifiable early response (50.0%). The nab-paclitaxel/gemcitabine was associated with more frequent dose reductions (20.6% vs 11.9%, P = .04), treatment-related serious adverse events (11.1% vs 5.3%, P = .07), grade 3-4 infections (7.2% vs 2.6%, P = .07), and grade 3-4 ALAT elevations (11.7 vs 3.3%, P = .01). Conclusions: This first large randomized trial suggests high efficacy and excellent tolerability of a neoadjuvant nabpaclitaxel/carboplatin regimen, superior to nab-paclitaxel/gemcitabine in TNBC. De-escalation of further chemotherapy in patients with early pCR after a short anthracycline-free regimen is a promising field of future research. Early necrotic morphological changes and/or proliferation decrease after the first therapy cycle seem to be associated with subsequent pCR
Impact of 12 weeks nab-paclitaxel + carboplatin or gemcitabine followed by anthracycline administration according to pCR in triple-negative early breast cancer: Survival results of WSG-ADAPT-TN phase II trial.
Efficacy of 12 weeks neoadjuvant nab-paclitaxel combined with carboplatinum vs. gemcitabine in triple-negative breast cancer: WSG-ADAPT TN randomized phase II trial.
Use of Trastuzumab Beyond Disease Progression: Observations from a Retrospective Review of Case Histories
Integration of Metabolomics and Expression of Glycerol-3-phosphate Acyltransferase (GPAM) in Breast CancerLink to Patient Survival, Hormone Receptor Status, and Metabolic Profiling
Changes in lipid metabolism are an important but not well-characterized hallmark of cancer. On the basis of our recent findings of lipidomic changes in breast cancer, we investigated glycerol-3-phosphate acyltransferase (GPAM), a key enzyme in the lipid biosynthesis of triacylglycerols and phospholipids. GPAM protein expression was evaluated and linked to metabolomic and lipidomic profiles in a cohort of human breast carcinomas. In addition, GPAM mRNA expression was analyzed using the GeneSapiens in silico transcriptiomics database. High cytoplasmic GPAM expression was associated with hormone receptor negative status (<i>p</i> = 0.013). On the protein (<i>p</i> = 0.048) and mRNA (<i>p</i> = 0.001) levels, increased GPAM expression was associated with a better overall survival. Metabolomic analysis by GC-MS showed that sn-glycerol-3-phosphate, the substrate of GPAM, was elevated in breast cancer compared to normal breast tissue. LC-MS based lipidomic analysis identified significantly higher levels of phospholipids, especially phosphatidylcholines in GPAM protein positive tumors. In conclusion, our results suggest that GPAM is expressed in human breast cancer with associated changes in the cellular metabolism, in particular an increased synthesis of phospholipids, the major structural component of cellular membranes
Therapy decision related to the molecular risk score EP and the combined clinical and molecular score (EPclin).
<p>Association between the molecular risk score EP, the combined clinical and molecular score (EPclin) and therapy decision (A). The group of patient’s desire for other therapy was excluded. The dotted vertical line marks the cutoff values of the molecular risk score EP, the broken horizontal line marks the cutoff value of the combined clinical and molecular score (EPclin). Additionally, the therapy decisions related to the combined clinical and molecular score (EPclin) are shown (B). The broken horizontal line marks the cutoff value of the combined clinical and molecular score (EPclin), the continuous line indicates the median.</p