926 resultados para CANCER GENE-THERAPY


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Model selection between competing models is a key consideration in the discovery of prognostic multigene signatures. The use of appropriate statistical performance measures as well as verification of biological significance of the signatures is imperative to maximise the chance of external validation of the generated signatures. Current approaches in time-to-event studies often use only a single measure of performance in model selection, such as logrank test p-values, or dichotomise the follow-up times at some phase of the study to facilitate signature discovery. In this study we improve the prognostic signature discovery process through the application of the multivariate partial Cox model combined with the concordance index, hazard ratio of predictions, independence from available clinical covariates and biological enrichment as measures of signature performance. The proposed framework was applied to discover prognostic multigene signatures from early breast cancer data. The partial Cox model combined with the multiple performance measures were used in both guiding the selection of the optimal panel of prognostic genes and prediction of risk within cross validation without dichotomising the follow-up times at any stage. The signatures were successfully externally cross validated in independent breast cancer datasets, yielding a hazard ratio of 2.55 [1.44, 4.51] for the top ranking signature.

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PURPOSE: Pre-clinical studies suggest that oral anticoagulant agents, such as warfarin, may inhibit metastases and potentially prolong survival in cancer patients. However, few population-based studies have examined the association between warfarin use and cancer-specific mortality.

METHODS: Using prescribing, cause of death, and cancer registration data from the UK Clinical Practice Research Datalink, four population-based cohorts were constructed, comprising breast, colorectal, lung, and prostate cancer patients diagnosed between 1 January 1998, and the 31 December 2010. Comparing pre-diagnostic warfarin users to non-users, multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) for cancer-specific mortality.

RESULTS: Overall, 16,525 breast, 12,902 colorectal, 12,296 lung, and 12,772 prostate cancers were included. Pre-diagnostic warfarin use ranged from 2.4 to 4.7 %. There was little evidence of any strong association between warfarin use pre-diagnosis and cancer-specific mortality in prostate (adjusted HR 1.03, 95 % CI 0.84-1.26), lung (adjusted HR 1.06, 95 % CI 0.96-1.16), breast (adjusted HR 0.81, 95 % CI 0.62-1.07), or colorectal (adjusted HR 0.88, 95 % CI 0.77-1.01) cancer patients. Dose-response analyses did not reveal consistent evidence of reductions in users of warfarin defined by the number of prescriptions used and daily defined doses.

CONCLUSIONS: There was little evidence of associations between pre-diagnostic use of warfarin and cancer-specific mortality in lung, prostate, breast, or colorectal cancer patients.

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An understanding of the mechanisms underlying the development of resistance to chemotherapy treatment is a gateway to the introduction of novel therapies and improved outcomes for women presenting with ovarian cancer (OC). The desired apoptotic death post-chemotherapy depends on an intact and fully functioning cell cycle machinery.

In this study we demonstrate that stable expression of miR-433 renders OC cells more resistant to paclitaxel treatment. Interestingly, only cells with the highest miR-433 survived paclitaxel suggesting the possible role of miR-433 in cancer recurrence. Importantly, for the first time we demonstrate that miR 433 induces cellular senescence, exemplified by a flattened morphology, the downregulation of phosphorylated Retinoblastoma (p Rb) and increased β galactosidase activity. Surprisingly, miR 433 induced senescence was independent of two well recognised senescent drivers: p21 and p16. Further in silico analysis followed by in vitro experiments identified CKD6 as a novel miR-433 target gene possibly explaining the observed p21 and p16-independent induction of cellular senescence. Another in silico identified miR-433 target gene was CDC27, a protein involved in the regulation of the cell cycle during mitosis. We demonstrate that the overexpression of pre-miR-433 leads to the downregulation of CDC27 in vitro revealing a novel interaction between miR-433 and CDC27, an integral cell cycle regulating protein.

Interestingly, miR-433 expressing cells also demonstrated an ability to impact their tumour microenvironment. We show that miR-433 is present in exosomes released from miR-433 overexpressing and high miR-433 naïve cells. Moreover, growth condition media (GCM) harvested from cells with high miR-433 have higher levels of IL-6 and IL-8, two key cytokines involved in the senescence associated secretory phenotype (SASP). Importantly, GCM from miR-433-enriched cells repressed the growth of co-cultured cells with initial studies showing a GCM-dependent induction of chemoresistance.

In conclusion, data in this study highlights how the aberrant expression miR-433 contributes to chemoresistance in OC cells. We postulate that standard chemotherapy, particularly paclitaxel, used to treat women with OC may have an attenuated ability to kill cells harbouring increased levels of miR-433, allowing for a subsequent chemoresistant phenotype post-therapy.

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Immunotherapy is a promising strategy for the treatment of various types of cancer. An antibody that targets programmed death ligand-1 (PD-L1) pathway has been shown to be active towards various types of cancer, including melanoma and lung cancer. MPDL3280A, an anti‑PD-L1 antibody, has shown clear clinical activity in PD-L1-overexpressing bladder cancer with an objective response rate of 40-50%, resulting in a breakthrough therapy designation granted by FDA. These events pronounce the importance of targeting the PD-L1 pathway in the treatment of bladder cancer. In the present study, we investigated the prognostic significance of the expression of three genes in the PD-L1 pathway, including PD-L1, B7.1 and PD-1, in three independent bladder cancer datasets in the Gene Expression Omnibus database. PD-L1, B7.1 and PD-1 were significantly associated with clinicopathological parameters indicative of a more aggressive phenotype of bladder cancer, such as a more advanced stage and a higher tumor grade. In addition, a high level expression of PD-L1 was associated with reduced patient survival. Of note, the combination of PD-L1 and B7.1 expression, but not other combinations of the three genes, were also able to predict patient survival. Our findings support the development of anti-PD-L1, which blocks PD-L1-PD-1 and B7.1-PD-L1 interactions, in treatment of bladder cancer. The observations were consistent in the three independent bladder cancer datasets consisting of a total of 695 human bladder specimens. The datasets were then assessed and it was found that the expression levels of the chemokine CC-motif ligand (CCL), CCL3, CCL8 and CCL18, were correlated with the PD-L1 expression level, while ADAMTS13 was differentially expressed in patients with a different survival status (alive or deceased). Additional investigations are required to elucidate the role of these genes in the PD-L1-mediated immune system suppression and bladder cancer progression. In conclusion, findings of this study suggested that PD-L1 is an important prognostic marker and a therapeutic target for bladder cancer.

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Targeting angiogenesis through inhibition of the vascular endothelial growth factor (VEGF) pathway has been successful in the treatment of late stage colorectal cancer. However, not all patients benefit from inhibition of VEGF. Ras status is a powerful biomarker for response to anti-epidermal growth factor receptor therapy; however, an appropriate biomarker for response to anti-VEGF therapy is yet to be identified. VEGF and its receptors, FLT1 and KDR, play a crucial role in colon cancer progression; individually, these factors have been shown to be prognostic in colon cancer; however, expression of none of these factors alone was predictive of tumor response to anti-VEGF therapy. In the present study, we analyzed the expression levels of VEGFA, FLT1, and KDR in two independent colon cancer datasets and found that high expression levels of all three factors afforded a very poor prognosis. The observation was further confirmed in another independent colon cancer dataset, wherein high levels of expression of this three-gene signature was predictive of poor prognosis in patients with proficient mismatch repair a wild-type KRas status, or mutant p53 status. Most importantly, this signature also predicted tumor response to bevacizumab, an antibody targeting VEGFA, in a cohort of bevacizumab-treated patients. Since bevacizumab has been proven to be an important drug in the treatment of advanced stage colon cancer, our results suggest that the three-gene signature approach is valuable in terms of its prognostic value, and that it should be further evaluated in a prospective clinical trial to investigate its predictive value to anti-VEGF treatment.

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BRCA1 (breast-cancer susceptibility gene 1) is a tumour suppressor, implicated in the hereditary predisposition to breast and ovarian cancer. BRCA1 has been implicated in a number of cellular processes including DNA repair and recombination, cell cycle checkpoint control, chromatin remodelling and ubiquitination. In addition, substantial data now exist to suggest a role for BRCA1 in transcriptional regulation; BRCA1 has been shown to interact with the Pol II holoenzyme complex and to interact with multiple transcription factors, such as p53 and c-Myc. We have previously identified a range of BRCA1 transcriptional targets and have linked these to specific cellular pathways, including cell cycle checkpoint activation and apoptosis. Current research is focused on the transcriptional mechanisms that underpin the association of BRCA1 deficiency with increased sensitivity to DNA damage-based chemotherapy and resistance to spindle poisons.

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Introduction: Many cancer patients experience sleeping difficulties which can persist several years after the completion of cancer treatment. Previous research suggests that acupuncture, and variants of acupuncture (acupressure, auricular therapy) may be effective treatment options for sleep disturbance. However, current evidence is limited for cancer patients.

Methods: Feasibility study with 3 arms. Seven cancer patients with insomnia randomised to receive either auricular therapy (attaching semen vaccariae seeds to ear acupoints) (n=4), self-acupressure (n=1) or no treatment (n=2). Participants assigned to receive auricular therapy or self-acupressure stimulated the acupoints each night an hour before retiring to bed. The duration of participant involvement was 5 weeks. Subjective sleep quality was measured at baseline and post-treatment using the Pittsburgh Sleep Quality Index (PSQI). The impact of treatment on concerns of importance to the participants themselves was measured using the Measure Yourself Concerns and Wellbeing (MYCaW). Each participant also completed a treatment log book.

Results: All participants completed their treatment. All auricular therapy and self-acupressure participants recorded clinically significant improvements in global PSQI scores. In the auricular therapy arm mean global PSQI reduced from 12.5 at baseline to 8 following completion of treatment. In the self-acupressure arm PSQI reduced from 15 to 11. While in the no treatment arm the mean PSQI score was 14.5 at both baseline and follow up.

Conclusions: Despite the limited sample size, both auricular therapy and self-acupressure may represent potentially effective treatments for cancer patients with insomnia. The positive findings suggest further research is warranted into both treatment modalities.

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PURPOSE: Treatment of prostate cancer with androgen deprivation therapy (ADT) is associated with an increased fat mass, decreased lean mass, increased fatigue and a reduction in quality of life (QoL). The aim of this study was to evaluate the efficacy of a 6-month dietary and physical activity intervention for prostate cancer patients receiving ADT, to help minimise these side effects.

METHODS: Patients (n = 94) were recruited to this study if they were planned to receive ADT for prostate cancer for at least 6 months. Men randomised to the intervention arm received a dietary and exercise intervention, commensurate with UK healthy eating and physical activity recommendations. The primary outcome of interest was body composition; secondary outcomes included fatigue, QoL, functional capacity, stress and dietary change.

RESULTS: The intervention group had a significant (p < 0.001) reduction in weight, body mass index and percentage fat mass compared to the control group at 6 months; the between-group differences were -3.3 kg (95 % confidence interval (95 % CI) -4.5, -2.1), -1.1 kg/m(2) (95 % CI -1.5, -0.7) and -2.1 % (95 % CI -2.8, -1.4), respectively, after adjustment for baseline values. The intervention resulted in improvements in functional capacity (p < 0.001) and dietary intakes but did not significantly impact fatigue, QoL or stress scores at endpoint.

CONCLUSIONS: A 6-month diet and physical activity intervention can minimise the adverse body composition changes associated with ADT.

IMPLICATIONS FOR CANCER SURVIVORS: This study shows that a pragmatic lifestyle intervention is feasible and can have a positive impact on health behaviours and other key outcomes in men with prostate cancer receiving ADT.

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Aberrant activation of Wnts is common in human cancers, including prostate. Hypermethylation associated transcriptional silencing of Wnt antagonist genes SFRPs (Secreted Frizzled-Related Proteins) is a frequent oncogenic event. The significance of this is not known in prostate cancer. The objectives of our study were to (i) profile Wnt signaling related gene expression and (ii) investigate methylation of Wnt antagonist genes in prostate cancer. Using TaqMan Low Density Arrays, we identified 15 Wnt signaling related genes with significantly altered expression in prostate cancer; the majority of which were upregulated in tumors. Notably, histologically benign tissue from men with prostate cancer appeared more similar to tumor (r = 0.76) than to benign prostatic hyperplasia (BPH; r = 0.57, p < 0.001). Overall, the expression profile was highly similar between tumors of high (≥ 7) and low (≤ 6) Gleason scores. Pharmacological demethylation of PC-3 cells with 5-Aza-CdR reactivated 39 genes (≥ 2-fold); 40% of which inhibit Wnt signaling. Methylation frequencies in prostate cancer were 10% (2/20) (SFRP1), 64.86% (48/74) (SFRP2), 0% (0/20) (SFRP4) and 60% (12/20) (SFRP5). SFRP2 methylation was detected at significantly lower frequencies in high-grade prostatic intraepithelial neoplasia (HGPIN; 30%, (6/20), p = 0.0096), tumor adjacent benign areas (8.82%, (7/69), p < 0.0001) and BPH (11.43% (4/35), p < 0.0001). The quantitative level of SFRP2 methylation (normalized index of methylation) was also significantly higher in tumors (116) than in the other samples (HGPIN = 7.45, HB = 0.47, and BPH = 0.12). We show that SFRP2 hypermethylation is a common event in prostate cancer. SFRP2 methylation in combination with other epigenetic markers may be a useful biomarker of prostate cancer.

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PURPOSE: IGFBP7 belongs to a family of insulin-like growth factor-1 regulatory binding proteins. IGFBP7 hypermethylation is associated with its down-regulation in various carcinomas. In prostate cancer IGFBP7 down-regulation has been widely reported but to our knowledge the mechanisms behind this event are unknown. We performed a denaturing high performance liquid chromatography screening and validation strategy to profile the methylation status of IGFBP7 in prostate cancer.

MATERIALS AND METHODS: We combined denaturing high performance liquid chromatography and bisulfite sequencing to examine IGFBP7 methylation in a panel of prostate cancer cell lines. Quantitative methylation specific polymerase chain reaction was used to determine methylation levels in prostate tissue specimens of primary prostate cancer, histologically benign prostate adjacent to tumor, high grade prostatic intraepithelial neoplasia and benign prostatic hyperplasia. IGFBP7 gene expression was measured by quantitative methylation specific polymerase chain reaction in cell lines and tissue specimens.

RESULTS: IGFBP7 was methylated in the 4 prostate cancer cell lines DU145, LNCaP, PC-3 and 22RV1. Quantitative methylation specific polymerase chain reaction analysis revealed that promoter methylation was associated with decreased IGFBP7 expression. Quantitative methylation specific polymerase chain reaction showed that IGFBP7 methylation was more frequently detected in prostate cancer (60% (31/52)) and high grade prostatic intraepithelial neoplasia (40% (6/15)) samples compared to histologically benign prostate adjacent to tumor (10%) and benign prostatic hyperplasia (0%) samples.

CONCLUSIONS: To our knowledge this is the first report of aberrant IGFBP7 promoter hypermethylation and concurrent IGFBP7 gene silencing in prostate cancer cell lines. Results demonstrate that CpG methylation of IGFBP7 may represent a novel biomarker of prostate cancer and pre-invasive neoplasms. Thus, future examination of IGFBP7 methylation and expression in a larger patient cohort, including bodily fluids, is justified to further evaluate its role in a diagnostic and prognostic setting.

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BACKGROUND: Aberrant DNA methylation has been implicated as a key survival mechanism in cancer, whereby promoter hypermethylation silences genes essential for many cellular processes including apoptosis. Limited data is available on the methylation profile of apoptotic genes in prostate cancer (CaP). The aim of this study was to profile methylation of apoptotic-related genes in CaP using denaturing high performance liquid chromatography (DHPLC).

METHODS: Based on an in silico selection process, 13 genes were screened for methylation in CaP cell lines using DHPLC. Quantitative methylation specific PCR was employed to determine methylation levels in prostate tissue specimens (n = 135), representing tumor, histologically benign prostate, high-grade prostatic intraepithelial neoplasia and benign prostatic hyperplasia. Gene expression was measured by QRT-PCR in cell lines and tissue specimens.

RESULTS: The promoters of BIK, BNIP3, cFLIP, TMS1, DCR1, DCR2, and CDKN2A appeared fully or partially methylated in a number of malignant cell lines. This is the first report of aberrant methylation of BIK, BNIP3, and cFLIP in CaP. Quantitative methylation analysis in prostate tissues identified 5 genes (BNIP3, CDKN2A, DCR1, DCR2 and TMS1) which were frequently methylated in tumors but were unmethylated in 100% of benign tissues. Furthermore, 69% of tumors were methylated in at least one of the five-gene panel. In the case of all genes, except BNIP3, promoter hypermethylation was associated with concurrent downregulation of gene expression.

CONCLUSION: Future examination of this "CaP apoptotic methylation signature" in a larger cohort of patients is justified to further evaluate its value as a diagnostic and prognostic marker.

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Although PTP4A3 has been shown to be a very important factor in promoting cancer progression, the role of its close family member PTP4A2 is still largely unknown. Recent reports have shown contradicting results on the role of PTP4A2 in breast cancer progression. Considering this, we aimed to investigate the prognostic value of PTP4A2 in five independent breast cancer data sets (minimum 198 patients per cohort, totaling 1,124 patients) in the Gene Expression Omnibus Database. We found that high expression of PTP4A2 was a favorable prognostic marker in all five independent breast cancer data sets, as well as in the combined cohort, with a hazard ratio of 0.68 (95% confidence interval =0.56-0.83; P<0.001). Low PTP4A2 expression was associated with estrogen receptor-negative tumors and tumors with higher histological grading; furthermore, low expression was inversely correlated with the expression of genes involved in proliferation, including MKI67 and the MCM gene family encoding the minichromosome maintenance proteins. These findings suggest that PTP4A2 may play a role in breast cancer progression by dysregulating cell proliferation. PTP4A2 expression was positively correlated with ESR1, the gene encoding estrogen receptor-alpha, and inversely correlated with EGFR expression, suggesting that PTP4A2 may be involved in these two important oncogenic pathways. Together, our results suggest that expression of PTP4A2 is a favorable prognostic marker in breast cancer.