As gene expression profile (GEP) testing for breast cancer may provide additional prognostic information to guide the use of adjuvant chemotherapy, we examined the association between GEP testing and use of chemotherapy, serious chemotherapy-related adverse effects, and total charges during the 12 months following diagnosis. Medical record review was conducted for women age 30-64 years, with incident, non-metastatic, invasive breast cancer diagnosed 2006-2008 in a large, national health plan. Of 534 patients, 25.8% received GEP testing, 68.2% received chemotherapy, and 10.5% experienced a serious chemotherapy-related adverse effect. GEP testing was most commonly used in women at moderate clinical risk of recurrence (52.0 vs. 25.0% of low-risk women and 5.5% of high-risk). Controlling for the propensity to receive GEP testing, women who had GEP were less likely to receive chemotherapy (propensity adjusted odds ratio, 95% confidence interval 0.62, 0.39-0.99). Use of GEP was associated with more chemotherapy use among women at low risk based on clinical characteristics (OR = 42.19; CI 2.50-711.82), but less use among women with a high risk based on clinical characteristics (OR = 0.12; CI 0.03-0.47). Use of GEP was not associated with chemotherapy for the moderate risk group. There was no significant relationship between GEP use and either serious chemotherapy-associated adverse effects or total charges. While GEP testing was associated with an overall decrease in adjuvant chemotherapy, we did not find differences in serious chemotherapy-associated adverse events or charges during the 12 months following diagnosis.
"Gene expression profiling is emerging as a tool for classifying breast cancers, guiding therapy, and predicting treatment responses (Cheang et al, 2008; Haas et al, 2011). However, genome and transcriptome analyses alone provide only a partial picture, as alternative splicing of mRNA, combined with more than 100 unique post-translational protein modifications, mean that each gene may give rise to multiple protein species (Banks et al, 2000). "
[Show abstract][Hide abstract] ABSTRACT: Background:
Tissue protein expression profiling has the potential to detect new biomarkers to improve breast cancer (BC) diagnosis, staging, and prognostication. This study aimed to identify tissue proteins that differentiate breast cancer tissue from healthy breast tissue using protein chip mass spectrometry and to examine associations with conventional pathological features.
To develop a training model, 82 BC and 82 adjacent unaffected tissue (AT) samples were analysed on cation-exchange protein chips by time-of-flight mass spectrometry. For validation, 89 independent BC and AT sample pairs were analysed.
From the protein peaks that were differentially expressed between BC and AT by univariate analysis, binary logistic regression yielded two peaks that together classified BC and AT with a ROC area under the curve of 0.92. Two proteins, ubiquitin and S100P (in a novel truncated form), were identified by liquid chromatography/tandem mass spectrometry and validated by immunoblotting and reactive-surface protein chip immunocapture. The combined marker panel was positively associated with high histologic grade, larger tumour size, lymphovascular invasion, ER and PR positivity, and HER2 overexpression, suggesting that it may be associated with a HER2-enriched molecular subtype of breast cancer.
This independently validated protein panel may be valuable in the classification and prognostication of breast cancer patients.
British Journal of Cancer 01/2013; 108(2). DOI:10.1038/bjc.2012.552 · 4.84 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Oncolytic adenoviruses are a novel class of anticancer treatment, based upon their ability to replicate selectively within malignant cells resulting in cell lysis. The replication‑selective adenovirus, ZD55‑IL‑24, was constructed by harboring an E1B‑55 kDa deletion and arming with interleukin-24 (IL-24). The microtubule‑stabilizing drug paclitaxel (PTX) exhibits activity in relapsed cancer. In the present study, the synergistic antitumor effects of the combination of PTX and ZD55‑IL‑24 on breast cancer cells was investigated. The results demonstrated that there were different roles for PTX in the expression of transgenic mRNA and protein. ZD55‑IL‑24 combined with PTX induced marked growth inhibition of MDA‑MB‑231 and Bcap‑37 cells. PTX increased viral uptake and appeared not to alter the replication of ZD55‑IL‑24 in breast cancer cells. Annexin V‑fluorescein isothiocyanate/propidium iodide staining and the Hoechst 33258 assay indicated that ZD55‑IL‑24 induced an increase in the number of apoptotic cells when administered in combination with PTX. It was demonstrated that ZD55‑IL‑24 conjugated with PTX was highly concomitant, and increased proapoptotic proteins levels, activated caspase‑3, -7 and -9 and downregulated anti‑apoptotic proteins. These results suggested that ZD55‑IL‑24 in combination with PTX exhibited a markedly increased cytotoxic and apoptosis‑inducing effect in breast cancer cells. Thus, this chemo‑gene‑viro therapeutic strategy was demonstrated to be superior to conventional chemotherapy or gene‑viro therapy alone.
Molecular Medicine Reports 09/2013; 8(5). DOI:10.3892/mmr.2013.1680 · 1.55 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Objective:
Multigene predictors are being used increasingly in early-stage breast cancer patients for prediction and prognosis. However, one consequence of the increased use of multigene predictors, and the heightened efforts toward their incorporation into routine clinical practice, is the potential for future malpractice litigation. It is, therefore, important to ascertain the strength of the evidence for using the different commercially available multigene predictor assays clinically. We evaluated the literature for evidence of clinical validity of four currently available gene signatures and to assess the influence of the 21-gene-expression assay on changes in treatment recommendations.
A systematic search of the peer-reviewed literature from January 2002 to March 2014 for multigene predictor assays was carried out, and a meta-analysis was conducted.
The adjusted Cox hazard ratio average for studies that met the eligibility criteria was 3.538 (95% CI: 1.513-8.469). The 21-gene signature showed the highest stability in the estimation of likelihood of distant risk of recurrence. Using the recurrence scores resulted in changes in treatment recommendations in 31.8% of all patients in the studies.
This study may provide insight about the use of multigene predictors in clinical practice for prediction and prognosis of breast cancer.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.