976 resultados para Cancer strategy
Resumo:
Resistance to radiotherapy due to insufficient cancer cell death is a significant cause of treatment failure in non-small cell lung cancer (NSCLC). The endogenous caspase-8 inhibitor, FLIP, is a critical regulator of cell death that is frequently overexpressed in NSCLC and is an established inhibitor of apoptotic cell death induced via the extrinsic death receptor pathway. Apoptosis induced by ionizing radiation (IR) has been considered to be mediated predominantly via the intrinsic apoptotic pathway; however, we found that IR-induced apoptosis was significantly attenuated in NSCLC cells when caspase-8 was depleted using RNA interference (RNAi), suggesting involvement of the extrinsic apoptosis pathway. Moreover, overexpression of wild-type FLIP, but not a mutant form that cannot bind the critical death receptor adaptor protein FADD, also attenuated IR-induced apoptosis, confirming the importance of the extrinsic apoptotic pathway as a determinant of response to IR in NSCLC. Importantly, when FLIP protein levels were down-regulated by RNAi, IR-induced cell death was significantly enhanced. The clinically relevant histone deacetylase (HDAC) inhibitors vorinostat and entinostat were subsequently found to sensitize a subset of NSCLC cell lines to IR in a manner that was dependent on their ability to suppress FLIP expression and promote activation of caspase-8. Entinostat also enhanced the anti-tumor activity of IR in vivo. Therefore, FLIP down-regulation induced by HDAC inhibitors is a potential clinical strategy to radio-sensitize NSCLC and thereby improve response to radiotherapy. Overall, this study provides the first evidence that pharmacological inhibition of FLIP may improve response of NCSLC to IR.
Non-pharmacological interventions for cognitive impairment due to systemic cancer treatment (Review)
Resumo:
Background
It is estimated that up to 75% of cancer survivors may experience cognitive impairment as a result of cancer treatment and given the increasing size of the cancer survivor population, the number of affected people is set to rise considerably in coming years. There is a need, therefore, to identify effective, non-pharmacological interventions for maintaining cognitive function or ameliorating cognitive impairment among people with a previous cancer diagnosis.
Objectives
To evaluate the cognitive effects, non-cognitive effects, duration and safety of non-pharmacological interventions among cancer patients targeted at maintaining cognitive function or ameliorating cognitive impairment as a result of cancer or receipt of systemic cancer treatment (i.e. chemotherapy or hormonal therapies in isolation or combination with other treatments).
Search methods
We searched the Cochrane Centre Register of Controlled Trials (CENTRAL), MEDLINE, Embase, PUBMED, Cumulative Index of Nursing and Allied Health Literature (CINAHL) and PsycINFO databases. We also searched registries of ongoing trials and grey literature including theses, dissertations and conference proceedings. Searches were conducted for articles published from 1980 to 29 September 2015.
Selection criteria
Randomised controlled trials (RCTs) of non-pharmacological interventions to improve cognitive impairment or to maintain cognitive functioning among survivors of adult-onset cancers who have completed systemic cancer therapy (in isolation or combination with other treatments) were eligible. Studies among individuals continuing to receive hormonal therapy were included. We excluded interventions targeted at cancer survivors with central nervous system (CNS) tumours or metastases, non-melanoma skin cancer or those who had received cranial radiation or, were from nursing or care home settings. Language restrictions were not applied.
Data collection and analysis
Author pairs independently screened, selected, extracted data and rated the risk of bias of studies. We were unable to conduct planned meta-analyses due to heterogeneity in the type of interventions and outcomes, with the exception of compensatory strategy training interventions for which we pooled data for mental and physical well-being outcomes. We report a narrative synthesis of intervention effectiveness for other outcomes.
Main results
Five RCTs describing six interventions (comprising a total of 235 participants) met the eligibility criteria for the review. Two trials of computer-assisted cognitive training interventions (n = 100), two of compensatory strategy training interventions (n = 95), one of meditation (n = 47) and one of physical activity intervention (n = 19) were identified. Each study focused on breast cancer survivors. All five studies were rated as having a high risk of bias. Data for our primary outcome of interest, cognitive function were not amenable to being pooled statistically. Cognitive training demonstrated beneficial effects on objectively assessed cognitive function (including processing speed, executive functions, cognitive flexibility, language, delayed- and immediate- memory), subjectively reported cognitive function and mental well-being. Compensatory strategy training demonstrated improvements on objectively assessed delayed-, immediate- and verbal-memory, self-reported cognitive function and spiritual quality of life (QoL). The meta-analyses of two RCTs (95 participants) did not show a beneficial effect from compensatory strategy training on physical well-being immediately (standardised mean difference (SMD) 0.12, 95% confidence interval (CI) -0.59 to 0.83; I2= 67%) or two months post-intervention (SMD - 0.21, 95% CI -0.89 to 0.47; I2 = 63%) or on mental well-being two months post-intervention (SMD -0.38, 95% CI -1.10 to 0.34; I2 = 67%). Lower mental well-being immediately post-intervention appeared to be observed in patients who received compensatory strategy training compared to wait-list controls (SMD -0.57, 95% CI -0.98 to -0.16; I2 = 0%). We assessed the assembled studies using GRADE for physical and mental health outcomes and this evidence was rated to be low quality and, therefore findings should be interpreted with caution. Evidence for physical activity and meditation interventions on cognitive outcomes is unclear.
Authors' conclusions
Overall, the, albeit low-quality evidence may be interpreted to suggest that non-pharmacological interventions may have the potential to reduce the risk of, or ameliorate, cognitive impairment following systemic cancer treatment. Larger, multi-site studies including an appropriate, active attentional control group, as well as consideration of functional outcomes (e.g. activities of daily living) are required in order to come to firmer conclusions about the benefits or otherwise of this intervention approach. There is also a need to conduct research into cognitive impairment among cancer patient groups other than women with breast cancer.
Resumo:
The therapeutic potential of cancer gene therapy has been limited by the difficulty of delivering genetic material to target sites. Various biological and molecular barriers exist which need to be overcome before effective nonviral delivery systems can be applied successfully in oncology. Herein, various barriers are described and strategies to circumvent such obstacles are discussed, considering both the extracellular and intracellular setting. Development of multifunctional delivery systems holds much promise for the progression of gene delivery, and a growing body of evidence supports this approach involving rational design of vectors, with a unique molecular architecture. In addition, the potential application of composite gene delivery platforms is highlighted which may provide an alternative delivery strategy to traditional systemic administration.
Resumo:
he term "carcinoma of unknown primary" (CUP) defines a malignant condition in which a metastatic cancer is documented in absence of a detectable primary site. It occurs in about 2÷6 % of cancer patients, according to various literature reports. The primary tumor site results indefinable because of several either single or associated factors, even remaining occult at autopsy in 15÷25% of CUP patients. The metastatic spread pattern of CUP is quite unlike that expected for analogous known primary malignancy. For instance, the unknown prostate cancer often metastasizes to the lungs and liver while the its known analogous usually spreads to the bone. Whether certain genetic abnormalities might play a role in determining a CUP condition, it remains undefined. Most CUP are adenocarcinoma, squamous cell carcinoma, either undifferentiated or differentiated carcinoma, whereas less frequently may be sarcoma, melanoma or neuroendocrine tumor. As CUP diagnostic management is concerned, two opposite approach modalities may be adopted, one, named "shotgun modality", consisting in a multiplicity of examinations aimed at achieving the identification of the primary tumor and the other, a nihilistic modality, by adopting tout court a palliative therapy of the metastatic disease. A reasonable intermediate diagnostic strategy consists in undertaking some procedures with a specific target and low cost/benefit ratio. Selected imaging studies, serum tumor markers, immunohistochemical analyses and genetic- molecular examinations on biopsy material allow sometimes to reach the detection of primary malignancies that might be responsive to a potential treatments. Nevertheless, in spite of recent sophisticated -laboratory and imaging progress, CUP remains a strong challenge in clinical oncology.
Resumo:
Even though a large amount of evidence would suggest that PP2A serine/threonine protein phosphatase acts as a tumour suppressor the genomics data to support this claim is limited. We fit a sparse binary Markov random field with individual sample's total mutational frequency as an additional covariate to model the dependencies between the mutations occurring in the PP2A encoding genes. We utilize the data from recent large scale cancer genomics studies, where the whole genome from a human tumour biopsy has been analysed. Our results show a complex network of interactions between the occurrence of mutations in our twenty examined genes. According to our analysis the mutations occurring in the genes PPP2R1A, PPP2R3A, and PPP2R2B are identified as the key mutations. These genes form the core of the network of conditional dependency between the mutations in the investigated twenty genes. Additionally, we note that the mutations occurring in PPP2R4 seem to be more influential in samples with higher number of total mutations. The mutations occurring in the set of genes suggested by our results has been shown to contribute to the transformation of human cells. We conclude that our evidence further supports the claim that PP2A acts as a tumour suppressor and restoring PP2A activity is an appealing therapeutic strategy.
Resumo:
L’irinotécan est un agent de chimiothérapie largement utilisé pour le traitement de tumeurs solides, particulièrement pour le cancer colorectal métastatique (mCRC). Fréquemment, le traitement par l’irinotécan conduit à la neutropénie et la diarrhée, des effets secondaires sévères qui peuvent limiter la poursuite du traitement et la qualité de vie des patients. Plusieurs études pharmacogénomiques ont évalué les risques associés à la chimiothérapie à base d’irinotécan, en particulier en lien avec le gène UGT1A, alors que peu d’études ont examiné l’impact des gènes codant pour des transporteurs. Par exemple, le marqueur UGT1A1*28 a été associé à une augmentation de 2 fois du risque de neutropénie, mais ce marqueur ne permet pas de prédire la toxicité gastrointestinale ou l’issue clinique. L’objectif de cette étude était de découvrir de nouveaux marqueurs génétiques associés au risque de toxicité induite par l’irinotécan, en utilisant une stratégie d’haplotype/SNP-étiquette permettant de maximiser la couverture des loci génétiques ciblés. Nous avons analysé les associations génétiques des loci UGT1 et sept gènes codants pour des transporteurs ABC impliqués dans la pharmacocinétique de l’irinotécan, soient ABCB1, ABCC1, ABCC2, ABCC5, ABCG1, ABCG2 ainsi que SLCO1B1. Les profils de 167 patients canadiens atteints de mCRC sous traitement FOLFIRI (à base d’irinotécan) ont été examinés et les marqueurs significatifs ont par la suite été validés dans une cohorte indépendante de 250 patients italiens. Nous avons découvert dans la région intergénique en aval du gène UGT1, un nouveau marqueur (rs11563250G) associé à un moindre risque de neutropénie sévère (rapport des cotes (RC)=0.21; p=0.043 chez les canadiens, RC=0.27; p=0.036 chez les italiens, et RC=0.31 p=0.001 pour les deux cohortes combinées). De plus, le RC est demeuré significatif après correction pour multiples comparaisons (p=0.041). Par ailleurs, pour l’haplotype défini par les marqueurs rs11563250G et UGT1A1*1 (rs8175347 TA6), le RC était de 0.17 (p=0.0004). Un test génétique évaluant ces marqueurs permettrait d’identifier les patients susceptibles de bénéficier d’une augmentation de dose d’irinotécan. En revanche, une autre combinaison de marqueurs, ABCC5 rs3749438 et rs10937158 (T–C), a prédit un risque plus faible de diarrhée sévère dans les deux cohortes (RC = 0.43; p=0.001). La coexistence des marqueurs ABCG1 rs225440T et ABCC5 rs2292997A a prédit un risque accru de neutropénie (RC=5.93; p=0.0002), alors qu’une prédiction encore plus significative a été obtenue lorsque ces marqueurs sont combinés au marqueur de risque bien établi UGT1A1*28 rs8175347 (RC=7.68; p<0.0001). Enfin, les porteurs de l’allèle de protection UGT1 rs11563250G en absence d’allèles de risque, ont montré une incidence réduite de neutropénie sévère (8.2% vs. 34.0%; p<0.0001). Nous concluons que ces nouveaux marqueurs génétiques prédictifs pourraient permettre d’améliorer l’évaluation du risque de toxicité et personnaliser le traitement à base d’irinotécan pour les patients atteints du cancer colorectal métastatique.
Resumo:
Cancer and cardio-vascular diseases are the leading causes of death world-wide. Caused by systemic genetic and molecular disruptions in cells, these disorders are the manifestation of profound disturbance of normal cellular homeostasis. People suffering or at high risk for these disorders need early diagnosis and personalized therapeutic intervention. Successful implementation of such clinical measures can significantly improve global health. However, development of effective therapies is hindered by the challenges in identifying genetic and molecular determinants of the onset of diseases; and in cases where therapies already exist, the main challenge is to identify molecular determinants that drive resistance to the therapies. Due to the progress in sequencing technologies, the access to a large genome-wide biological data is now extended far beyond few experimental labs to the global research community. The unprecedented availability of the data has revolutionized the capabilities of computational researchers, enabling them to collaboratively address the long standing problems from many different perspectives. Likewise, this thesis tackles the two main public health related challenges using data driven approaches. Numerous association studies have been proposed to identify genomic variants that determine disease. However, their clinical utility remains limited due to their inability to distinguish causal variants from associated variants. In the presented thesis, we first propose a simple scheme that improves association studies in supervised fashion and has shown its applicability in identifying genomic regulatory variants associated with hypertension. Next, we propose a coupled Bayesian regression approach -- eQTeL, which leverages epigenetic data to estimate regulatory and gene interaction potential, and identifies combinations of regulatory genomic variants that explain the gene expression variance. On human heart data, eQTeL not only explains a significantly greater proportion of expression variance in samples, but also predicts gene expression more accurately than other methods. We demonstrate that eQTeL accurately detects causal regulatory SNPs by simulation, particularly those with small effect sizes. Using various functional data, we show that SNPs detected by eQTeL are enriched for allele-specific protein binding and histone modifications, which potentially disrupt binding of core cardiac transcription factors and are spatially proximal to their target. eQTeL SNPs capture a substantial proportion of genetic determinants of expression variance and we estimate that 58% of these SNPs are putatively causal. The challenge of identifying molecular determinants of cancer resistance so far could only be dealt with labor intensive and costly experimental studies, and in case of experimental drugs such studies are infeasible. Here we take a fundamentally different data driven approach to understand the evolving landscape of emerging resistance. We introduce a novel class of genetic interactions termed synthetic rescues (SR) in cancer, which denotes a functional interaction between two genes where a change in the activity of one vulnerable gene (which may be a target of a cancer drug) is lethal, but subsequently altered activity of its partner rescuer gene restores cell viability. Next we describe a comprehensive computational framework --termed INCISOR-- for identifying SR underlying cancer resistance. Applying INCISOR to mine The Cancer Genome Atlas (TCGA), a large collection of cancer patient data, we identified the first pan-cancer SR networks, composed of interactions common to many cancer types. We experimentally test and validate a subset of these interactions involving the master regulator gene mTOR. We find that rescuer genes become increasingly activated as breast cancer progresses, testifying to pervasive ongoing rescue processes. We show that SRs can be utilized to successfully predict patients' survival and response to the majority of current cancer drugs, and importantly, for predicting the emergence of drug resistance from the initial tumor biopsy. Our analysis suggests a potential new strategy for enhancing the effectiveness of existing cancer therapies by targeting their rescuer genes to counteract resistance. The thesis provides statistical frameworks that can harness ever increasing high throughput genomic data to address challenges in determining the molecular underpinnings of hypertension, cardiovascular disease and cancer resistance. We discover novel molecular mechanistic insights that will advance the progress in early disease prevention and personalized therapeutics. Our analyses sheds light on the fundamental biological understanding of gene regulation and interaction, and opens up exciting avenues of translational applications in risk prediction and therapeutics.
Resumo:
Objective: To know the perception of informal caregivers regarding the care for a family member with head and neck cancer. Methods: Qualitative study conducted between March and May 2014 in the radiotherapy outpatient center of the Centro de Alta Complexidade em Oncologia – CACON (Oncology High Complexity Center) of the Hospital Universitário de Brasília – HUB (University Hospital of Brasília) using semi-structured interviews with nine caregivers about the experience of caring for family members. Data underwent Content Analysis and four units of meaning were identified: “Representation of cancer in the Family”, “The care as debt, individual reward or reconstruction of family ties”, “Repercussions of cancer on the caregiver’s personal life” and “Social support and network used by caregivers”. Results: Feelings of sadness and surprise at the moment of diagnosis were attributed to cancer, as well as the idea of punishment. The care was seen as personal satisfaction, accomplishment and opportunity for family rapprochement. Work overload and change in routine were altered functions. Religiosity, exchange of experience in the waiting room and institutional support appeared as coping strategies. Conclusion: The experience of caring for family members with head and neck cancer directly interferes in the lives of caregivers. Pointing out the institutional embracement as a strategy within the social network reinforces the importance of integrating the caregivers as a significant part of the health care plan developed by the health team.
Resumo:
Breast cancer is one of the most prevalent forms of cancer in women. Despite all recent advances in early diagnosis and therapy, mortality data is not decreasing. This is an outcome of the inexistence of validated serum biomarkers allowing an early prognosis, out coming from the limited understanding of the natural history of the disease. In this context, miRNAs have been attracting a special interest throughout the scientific community as promising biomarkers in the early diagnosis of cancer. In breast cancer, several miRNAs and their levels of expression are significantly different between normal tissue and tissue with neoplasia, as well as between different molecular subtypes of breast cancer, also associated with prognosis. Thus, this these presents a meta-analysis that allows identifying a reliable miRNA biomarker for the early detection of breast cancer. In this, miRNA-155 was identified as the best one and an electrochemical biosensor was developed for its detection in serum samples. The biosensor was assembled by following three button-up stages: (1) the complementary miRNA sequence thiol terminated (anti-miRNA-155) was immobilized on a commercial gold screen-printed electrode (Au-SPE), followed by (2) blocking non-specific binding with mercaptosuccinic acid and by (3) miRNA hybridization. The biosensor was able to detect miRNA concentrations lying in the 10-18 mol/L (aM) range, displaying a linear response from 10 aM to 1nM. The device showed a limit of detection of 5.7 aM in human serum samples and good selectivity against other biomolecules in serum, such as cancer antigen CA-15.3 and bovine serum albumin (BSA). Overall, this simple and sensitive strategy is a promising approach for the quantitative and/or simultaneous analysis of multiple miRNA in physiological fluids, aiming at further biomedical research devoted to biomarker monitoring and point-of-care diagnosis.
Resumo:
Background There is evidence that certain mutations in the double-strand break repair pathway ataxia-telangiectasia mutated gene act in a dominant-negative manner to increase the risk of breast cancer. There are also some reports to suggest that the amino acid substitution variants T2119C Ser707Pro and C3161G Pro1054Arg may be associated with breast cancer risk. We investigate the breast cancer risk associated with these two nonconservative amino acid substitution variants using a large Australian population-based case–control study. Methods The polymorphisms were genotyped in more than 1300 cases and 600 controls using 5' exonuclease assays. Case–control analyses and genotype distributions were compared by logistic regression. Results The 2119C variant was rare, occurring at frequencies of 1.4 and 1.3% in cases and controls, respectively (P = 0.8). There was no difference in genotype distribution between cases and controls (P = 0.8), and the TC genotype was not associated with increased risk of breast cancer (adjusted odds ratio = 1.08, 95% confidence interval = 0.59–1.97, P = 0.8). Similarly, the 3161G variant was no more common in cases than in controls (2.9% versus 2.2%, P = 0.2), there was no difference in genotype distribution between cases and controls (P = 0.1), and the CG genotype was not associated with an increased risk of breast cancer (adjusted odds ratio = 1.30, 95% confidence interval = 0.85–1.98, P = 0.2). This lack of evidence for an association persisted within groups defined by the family history of breast cancer or by age. Conclusion The 2119C and 3161G amino acid substitution variants are not associated with moderate or high risks of breast cancer in Australian women.