11 research outputs found
Dose-dependent growth inhibition in response to 72h exposure to the JNK inhibitor SP600125 (a) or the STAT5 Inhibitor II IQDMA (b) on SKBR3 and T47D human breast cancer cells.
<p>Means ± SD.</p
Effect of canertinib (white bar), lapatinib (light grey bar) and afatinib (dark grey bar) on activation (phosphorylation) of ERK/MAPK1/2, STAT3, CREB, STAT5A/B, p70 S6 kinase, IkBa, JNK, and p38 in SKBR3, T47D and Jurkat cells.
<p>Serum-depleted cells were exposed for 6 h to vehicle (0.1% DMSO) or to 1 μM of the TKIs followed by a 3-min challenge with 100 ng/ml EGF and 1 nM HRGb1 and subjected to Milliplex assays. Results are shown relative to vehicle control (100%). Means ± SD.</p
Dose-dependent growth inhibition in response to 72h exposure to lapatinib (a), canertinib (b), or afatinib (c) on malignant human cell lines with no HER2 expression (Jurkat), with moderate HER2 expression (T47D) and with HER2 overexpression (SKBR3).
<p>Means ± SD, n = 3.</p
Schematic representation of HER-dependent signal transduction pathways associated with cell proliferation and apoptosis.
<p>Schematic representation of HER-dependent signal transduction pathways associated with cell proliferation and apoptosis.</p
Effect of the HER-TKI canertinib on the expression of apoptosis-related PARP-1 cleavage products as demonstrated by Western blot analysis of T47D cells grown for 48h (lanes 1–3) and 72h (lanes 4–6) in the absence (lanes 1 and 4), or in the presence of 1μM (lanes 2 and 5) and 10 μM (lanes 3 and 6) canertinib.
<p>Actin was probed on a separate membrane to roughly estimate protein loading.</p
Dose-dependent effect of SP600125 when given for 72h (a) and time-dependent effect of 5μM canertinib after 2 and 6 hours (b) on apoptosis as examined by Milliplex immunoassay for detection of active (cleaved) caspase 3 in SKBR3 and T47D cells.
<p>Results are shown relative to vehicle (0.1% DMSO) control. Means ± SD.</p
Sensitivity and specificity.
<p>Sensitivity and specificity of the combination of five biomarkers (CA125, MIF, Leptin, HE4, OPN) in differentiating between healthy women and OC patients (A), healthy wildtype women and wildtype OC patients (B), healthy <i>BRCA1</i> mutation carriers and <i>BRCA1</i> mutation carriers with OC (C), healthy wildtype women and healthy <i>BRCA1</i> mutation carriers (D) and wildtype OC patients and <i>BRCA1</i> mutation carriers with OC (E).</p
Diagnostic markers for the detection of ovarian cancer in <i>BRCA1</i> mutation carriers
<div><p>Background</p><p>Screening for ovarian cancer (OC) in women at high risk consists of a combination of carbohydrate antigen 125 (CA125) and transvaginal ultrasound, despite their low sensitivity and specificity. This could be improved by the combination of several biomarkers, which has been shown in average risk patients but has not been investigated until now in female <i>BRCA</i> mutation carriers.</p><p>Methods</p><p>Using a multiplex, bead-based, immunoassay system, we analyzed the concentrations of leptin, prolactin, osteopontin, insulin-like growth factor II, macrophage inhibitory factor, CA125 and human epididymis antigen 4 in 26 healthy wild type women, 26 healthy <i>BRCA1</i> mutation carriers, 28 wildtype OC patients and 26 OC patients with <i>BRCA1</i> mutation.</p><p>Results</p><p>Using the ROC analysis, we found a high overall sensitivity of 94.3% in differentiating healthy controls from OC patients with comparable results in the wildtype subgroup (sensitivity 92.8%, AUC = 0.988; p = 5.2e-14) as well as in <i>BRCA1</i> mutation carriers (sensitivity 95.2%, AUC = 0.978; p = 1.7e-15) at an overall specificity of 92.3%.</p><p>The used algorithm also allowed to identify healthy <i>BRCA1</i> mutation carriers when compared to healthy wildtype women (sensitivity 88.4%, specificity 80.7%, AUC = 0.895; p = 6e-08), while this was less pronounced in patients with OC (sensitivity 66.7%, specificity 67.8%, AUC = 0.724; p = 0.00065).</p><p>Conclusion</p><p>We have developed an algorithm, which can differentiate between healthy women and OC patients and have for the first time shown, that such an algorithm can also be used in <i>BRCA</i> mutation carriers. To clarify a suggested benefit to the existing early detection program, large prospective trials with mainly early stage OC cases are warranted.</p></div
Correlations of the levels of the investigated biomarkers with age in the four study groups.
<p>Correlations of the levels of the investigated biomarkers with age in the four study groups.</p
Patients characteristics of the healthy control group (wildtype and <i>BRCA1</i>) and patients tumor characteristics of the group of ovarian cancer patients (wildtype and <i>BRCA1</i>).
<p>Patients characteristics of the healthy control group (wildtype and <i>BRCA1</i>) and patients tumor characteristics of the group of ovarian cancer patients (wildtype and <i>BRCA1</i>).</p