11 research outputs found

    Tetraiodothyroacetic acid (Tetrac) and nanoparticulate tetrac arrest growth of medullary carcinoma of the thyroid

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    Context: Tetraiodothyroacetic acid (tetrac) blocks angiogenic and tumor cell proliferation actions of thyroid hormone initiated at the cell surface hormone receptor on integrin alpha v beta 3. Tetrac also inhibits angiogenesis initiated by vascular endothelial growth factor and basic fibroblast growth factor. Objective: We tested antiangiogenic and antiproliferative efficacy of tetrac and tetrac nanoparticles (tetrac NP) against human medullary thyroid carcinoma (h-MTC) implants in the chick chorioallantoic membrane (CAM) and h-MTC xenografts in the nude mouse. Design: h-MTCcells were implanted in the CAM model (n = 8 per group); effects of tetrac and tetrac NP at 1 mu g/CAM were determined on tumor angiogenesis and tumor growth after 8 d. h-MTC cells were also implanted sc in nude mice (n = 6 animals per group), and actions on established tumor growth of unmodified tetrac and tetrac NP ip were determined. Results: In the CAM, tetrac and tetrac NP inhibited tumor growth and tumor-associated angiogenesis. In the nude mouse xenograft model, established 450-500 mm(3) h-MTC tumors were reduced in size over 21 d by both tetrac formulations to less than the initial cell mass (100 mm(3)). Tumor tissue hemoglobin content of xenografts decreased by 66% over the course of administration of each drug. RNA microarray and quantitative real-time PCR of tumor cell mRNAs revealed that both tetrac formulations significantly induced antiangiogenic thrombospondin 1 and apoptosis activator gene expression. Conclusions: Acting via a cell surface receptor, tetrac and tetrac NP inhibit growth of h-MTC cells and associated angiogenesis in CAM and mouse xenograft models.Charitable Leadership Foundation/Medical Technology Acceleration ProgramPharmaceutical Research Institute of Albany College of Pharmac

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    Microarray analysis identifies a death-fromcancer signature predicting therapy failure in patients with multiple types of cance

    Gene expression profiling predicts clinical outcome of prostate cancer

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    One of the major problems in management of prostate cancer is the lack of reliable genetic markers predicting the clinical course of the disease. We analyzed expression profiles of 12,625 transcripts in prostate tumors from patients with distinct clinical outcomes after therapy as well as metastatic human prostate cancer xenografts in nude mice. We identified small clusters of genes discriminating recurrent versus nonrecurrent disease with 90% and 75% accuracy in two independent cohorts of patients. We examined one group of samples (21 tumors) to discover the recurrence predictor genes and then validated the predictive power of these genes in a different set (79 tumors). Kaplan-Meier analysis demonstrated that recurrence predictor signatures are highly informative (P < 0.0001) in stratification of patients into subgroups with distinct relapse-free survival after therapy. A gene expression–based recurrence predictor algorithm was informative in predicting the outcome in patients with early-stage disease, with either high or low preoperative prostate-specific antigen levels and provided additional value to the outcome prediction based on Gleason sum or multiparameter nomogram. Overall, 88% of patients with recurrence of prostate cancer within 1 year after therapy were correctly classified into the poor-prognosis group. The identified algorithm provides additional predictive value over conventional markers of outcome and appears suitable for stratification of prostate cancer patients at the time of diagnosis into subgroups with distinct survival probability after therapy

    Synthetic Galectin-3 Inhibitor Increases Metastatic Cancer Cell Sensitivity to Taxol-Induced Apoptosis In Vitro and In Vivo1

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    At present, there is no efficient curative therapy for cancer patients with advanced metastatic disease. Targeting of antiapoptotic molecules acting on the mitochondrial apoptosis pathway could potentially augment antimetastatic effect of cytotoxic drugs. Similarly to Bcl-2 family members, β-galactoside-binding lectin galectin-3 protects cancer cells from apoptosis induced by cytotoxic drugs through the mitochondrial pathway. In this study, we tested the hypothesis that inhibiting galectin-3 antiapoptotic function using a synthetic low-molecular weight carbohydrate-based compound lactulosyl-l-leucine (Lac-l-Leu) will augment apoptosis induced in human cancer cells by paclitaxel and increase its efficacy against established metastases. Treatment with synthetic glycoamine Lac-l-Leu alone reduced the number of established MDA-MB-435Lung2 pulmonary metastases 5.5-fold (P = .032) but did not significantly affect the incidence of metastasis. Treatment with paclitaxel alone (10 mg/kg three times with 3-day intervals) had no significant effect on the incidence or on the number of MDA-MB-435Lung2 metastases. Treatment with Lac-l-Leu/paclitaxel combination decreased both the number (P = .02) and the incidence (P = .001) of pulmonary metastases, causing a five-fold increase in the number of metastasis-free animals from 14% in the control group to 70% in the combination therapy group. The median number of lung metastases dropped to 0 in the combination therapy group compared with 11 in the control (P = .02). Synergistic inhibition of clonogenic survival and induction of apoptosis in metastatic cells by Lac-l-Leu/paclitaxel combination was functionally linked with an increase in mitochondrial damage and was sufficient for the antimetastatic activity that caused a reversal and eradication of advanced metastatic disease in 56% of experimental animals
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