889 resultados para Nonsmall cell lung cancer
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Objective: Positron emission tomography (PET)/CT scans can improve target definition in radiotherapy for non-small cell lung cancer (NSCLC). As staging PET/CT scans are increasingly available, we evaluated different methods for co-registration of staging PET/CT data to radiotherapy simulation (RTP) scans.
Methods: 10 patients underwent staging PET/CT followed by RTP PET/CT. On both scans, gross tumour volumes (GTVs) were delineated using CT (GTVCT) and PET display settings. Four PET-based contours (manual delineation, two threshold methods and a source-to-background ratio method) were delineated. The CT component of the staging scan was co-registered using both rigid and deformable techniques to the CT component of RTP PET/CT. Subsequently rigid registration and deformation warps were used to transfer PET and CT contours from the staging scan to the RTP scan. Dice’s similarity coefficient (DSC) was used to assess the registration accuracy of staging-based GTVs following both registration methods with the GTVs delineated on the RTP PET/CT scan.
Results: When the GTVCT delineated on the staging scan after both rigid registration and deformation was compared with the GTVCT on the RTP scan, a significant improvement in overlap (registration) using deformation was observed (mean DSC 0.66 for rigid registration and 0.82 for deformable registration, p50.008). A similar comparison for PET contours revealed no significant improvement in overlap with the use of deformable registration.
Conclusions: No consistent improvements in similarity measures were observed when deformable registration was used for transferring PET-based contours from a staging PET/CT. This suggests that currently the use of rigid registration remains the most appropriate method for RTP in NSCLC.
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Clinically, our ability to predict disease outcome for patients with early stage lung cancer is currently poor. To address this issue, tumour specimens were collected at surgery from non-small cell lung cancer (NSCLC) patients as part of the European Early Lung Cancer (EUELC) consortium. The patients were followed-up for three years post-surgery and patients who suffered progressive disease (PD, tumour recurrence, metastasis or a second primary) or remained disease-free (DF) during follow-up were identified. RNA from both tumour and adjacent-normal lung tissue was extracted from patients and subjected to microarray expression profiling. These samples included 36 adenocarcinomas and 23 squamous cell carcinomas from both PD and DF patients. The microarray data was subject to a series of systematic bioinformatics analyses at gene, network and transcription factor levels. The focus of these analyses was 2-fold: firstly to determine whether there were specific biomarkers capable of differentiating between PD and DF patients, and secondly, to identify molecular networks which may contribute to the progressive tumour phenotype. The experimental design and analyses performed permitted the clear differentiation between PD and DF patients using a set of biomarkers implicated in neuroendocrine signalling and allowed the inference of a set of transcription factors whose activity may differ according to disease outcome. Potential links between the biomarkers, the transcription factors and the genes p21/CDKN1A and Myc, which have previously been implicated in NSCLC development, were revealed by a combination of pathway analysis and microarray meta-analysis. These findings suggest that neuroendocrine-related genes, potentially driven through p21/CDKN1A and Myc, are closely linked to whether or not a NSCLC patient will have poor clinical outcome.
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Background: The authors consider whether differences in stage at diagnosis could explain the variation in lung cancer survival between six developed countries in 2004-2007. Methods: Routinely collected population-based data were obtained on all adults (15-99 years) diagnosed with lung cancer in 2004-2007 and registered in regional and national cancer registries in Australia, Canada, Denmark, Norway, Sweden and the UK. Stage data for 57 352 patients were consolidated from various classification systems. Flexible parametric hazard models on the log cumulative scale were used to estimate net survival at 1 year and the excess hazard up to 18 months after diagnosis. Results: Age-standardised 1-year net survival from non-small cell lung cancer ranged from 30% (UK) to 46% (Sweden). Patients in the UK and Denmark had lower survival than elsewhere, partly because of a more adverse stage distribution. However, there were also wide international differences in stage-specific survival. Net survival from TNM stage I non-small cell lung cancer was 16% lower in the UK than in Sweden, and for TNM stage IV disease survival was 10% lower. Similar patterns were found for small cell lung cancer. Conclusions: There are comparability issues when using population-based data but, even given these constraints, this study shows that, while differences in stage at diagnosis explain some of the international variation in overall lung cancer survival, wide disparities in stage-specific survival exist, suggesting that other factors are also important such as differences in treatment. Stage should be included in international cancer survival studies and the comparability of population-based data should be improved.
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AIMS: To investigate the potential dosimetric and clinical benefits predicted by using four-dimensional computed tomography (4DCT) compared with 3DCT in the planning of radical radiotherapy for non-small cell lung cancer.
MATERIALS AND METHODS:
Twenty patients were planned using free breathing 4DCT then retrospectively delineated on three-dimensional helical scan sets (3DCT). Beam arrangement and total dose (55 Gy in 20 fractions) were matched for 3D and 4D plans. Plans were compared for differences in planning target volume (PTV) geometrics and normal tissue complication probability (NTCP) for organs at risk using dose volume histograms. Tumour control probability and NTCP were modelled using the Lyman-Kutcher-Burman (LKB) model. This was compared with a predictive clinical algorithm (Maastro), which is based on patient characteristics, including: age, performance status, smoking history, lung function, tumour staging and concomitant chemotherapy, to predict survival and toxicity outcomes. Potential therapeutic gains were investigated by applying isotoxic dose escalation to both plans using constraints for mean lung dose (18 Gy), oesophageal maximum (70 Gy) and spinal cord maximum (48 Gy).
RESULTS:
4DCT based plans had lower PTV volumes, a lower dose to organs at risk and lower predicted NTCP rates on LKB modelling (P < 0.006). The clinical algorithm showed no difference for predicted 2-year survival and dyspnoea rates between the groups, but did predict for lower oesophageal toxicity with 4DCT plans (P = 0.001). There was no correlation between LKB modelling and the clinical algorithm for lung toxicity or survival. Dose escalation was possible in 15/20 cases, with a mean increase in dose by a factor of 1.19 (10.45 Gy) using 4DCT compared with 3DCT plans.
CONCLUSIONS:
4DCT can theoretically improve therapeutic ratio and dose escalation based on dosimetric parameters and mathematical modelling. However, when individual characteristics are incorporated, this gain may be less evident in terms of survival and dyspnoea rates. 4DCT allows potential for isotoxic dose escalation, which may lead to improved local control and better overall survival.
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RESUMO: O cancro do pulmão (LC), uma das principais causas de mortalidade relacionada com cancro em Portugal, pode levar à formação de metástases hematogénicas. A adesão das células tumorais ao endotélio é considerada um dos passos fundamentais envolvidos na metástase. Em células sanguíneas, esta adesão é mediada por ligandos de E-selectina (E-SL), glicoproteínas ou glicolípidos decorados principalmente com sialyl-Lewis x (sLex) e sialyl-Lewis a (sLea). Tem sido descrito a expressão destes antigénios em LC, contudo o seu papel funcional em permitir a adesão das células de LC ao endotélio é ainda pouco compreendido. Foram analisadas amostras emparelhadas normais e tumorais de pacientes com cancro de pulmão de não-pequenas células (NSCLC) e três linhas celulares de LC. Immunoblotting assays com anti-sLex/sLea e molécula quimérica de E-selectina demonstraram que tecidos tumorais de LC sobreexpressam significativamente E-SL e resultados de citometria de fluxo demonstraram uma expressão elevada de E-SL nas linhas celulares. Para compreender o mecanismo da sobreexpressão de E-SL em tecidos tumorais e linhas celulares de LC, foi analisada a expressão de genes envolvidos na biossíntese de E-SL, nomeadamente FUT3, FUT4, FUT6, FUT7, ST3GAL3, ST3GAL4, ST3GAL6, β4GALT1, GCNT1 e GALNT3. Observou-se a sobreexpressão das fucosiltransferases FUT3, FUT6 e FUT7 em tecidos tumorais de LC e FUT3 em linhas celulares de LC, sendo que neste último, esta expressão é correlacionada com um aumento da adesão das células de LC às selectinas endoteliais. Foi observado que uma baixa expressão de FUT4 em tecidos tumorais está associada com estadios menos avançados de NSCLC. Foram analisadas ainda proteínas decoradas com sLex/sLea, tendo-se identificado como E-SL o antigénio carcinoembrionário em NSCLC. Em resumo, esta tese contribuiu para uma melhor compreensão das alterações glicosídicas e moléculas que podem influenciar a progressão tumoral do LC, podendo permitir identificar futuramente novos biomarcadores de diagnóstico/prognóstico e potenciais alvos terapêuticos para o NSCLC.--------------------------ABSTRACT: Lung cancer (LC), one of the major causes of mortality related to cancer in Portugal, may lead to hematogenous metastasis. Adhesion of cancer cells to endothelium is considered one of the crucial steps involved in metastasis. In blood cells, this adhesion is initiated by endothelial selectin ligands (E-SL) that are glycoproteins or glycolipids decorated mostly with sialyl-Lewis x (sLex) and sialyl-Lewis a (sLea). While LC has been described as expressing these sialyl Lewis antigens, its functional role in allowing LC adhesion to endothelium is still poorly understood. We analyzed paired tumor and normal tissues samples from non-small cell lung cancer (NSCLC) patients and three LC cell lines. Immunoblotting assays with anti-sLex/sLea and E-selectin chimera demonstrated that LC tumor tissues significantly overexpress E-SL and flow cytometry results indicated that E-SL are also abundantly expressed in LC cell lines. To understand the mechanism behind the overexpression of E-SL in LC tissues and cell lines, we analyzed the expression of genes involved in its biosynthesis, namely FUT3, FUT4, FUT6, FUT7, ST3GAL3, ST3GAL4, ST3GAL6, β4GALT1, GCNT1 and GALNT3. It was observed the overexpression of fucosyltransferases FUT3, FUT6 and FUT7 in LC tumor tissues and FUT3 in LC cell lines, being this last one correlated with an increased reactivity of the LC cells to endothelial selectins. It was described that low expression of FUT4 in tumor tissues is correlated with early stages of NSCLC. We also analyzed scaffolds proteins of sLex/sLea and it was identified the carcinoembryonic antigen as an E-SL in NSCLC. In summary, this thesis contributed to a better understanding of the glycosidic changes and molecules that can influence tumor progression of LC, allowing identifying in the future new diagnosis/prognosis biomarkers and potential therapeutic targets for NSCLC.
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Surgery has historically been the standard of care for operable stage I non-small cell lung cancer (NSCLC). However, nearly one-quarter of patients with stage I NSCLC will not undergo surgery because of medical comorbidity or other factors. Stereotactic ablative radiotherapy (SABR) is the new standard of care for these patients. SABR offers high local tumour control rates rivalling the historical results of surgery and is generally well tolerated by patients with both peripheral and centrally located tumours. This article reviews the history of SABR for stage I NSCLC, summarises the currently available data on efficacy and toxicity, and describes some of the currently controversial aspects of this treatment.
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Cancer cells display enhanced growth rates and a resistance to apoptosis. Lung cancer accounts for the most cancer related deaths and non-small cell lung cancer (NSCLC) represents an aggressive form of lung cancer, accounting for almost 80% of all lung cancer cases. The phytochemical rosemary extract (RE) has been reported to have anticancer effects in vitro and in vivo however, limited evidence exists regarding the effects of RE and its polyphenolic constituents carnosic acid (CA) and rosmarinic acid (RA) in lung cancer. The present study shows RE, CA and RA inhibit lung cancer cell proliferation and survival in various NSCLC cell lines and that CA and RA interact synergistically to inhibit cell proliferation. Moreover RE, CA and RA are capable of altering activation and/or expression of Akt, ERK and AMPK, signaling molecules which regulate cell proliferation and survival. RE shows potential as an anticancer agent and should be further investigated.
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Purpose: We sought to determine the mechanisms of downregulation of the airway transcription factor Foxa2 in lung cancer and the expression status of Foxa2 in non-small-cell lung cancer (NSCLC). Methods: A series of 25 lung cancer cell lines were evaluated for Foxa2 protein expression, FOXA2 mRNA levels, FOXA2 mutations, FOXA2 copy number changes and for evidence of FOXA2 promoter hypermethylation. In addition, 32 NSCLCs were sequenced for FOXA2 mutations and 173 primary NSCLC tumors evaluated for Foxa2 expression using an immunohistochemical assay. Results: Out of the 25 cell lines, 13 (52%) had undetectable FOXA2 mRNA. The expression of FOXA2 mRNA and Foxa2 protein were congruent in 19/22 cells (p = 0.001). FOXA2 mutations were not identified in primary NSCLCs and were infrequent in cell lines. Focal or broad chromosomal deletions involving FOXA2 were not present. The promoter region of FOXA2 had evidence of hypermethylation, with an inverse correlation between FOXA2 mRNA expression and presence of CpG dinucleotide methylation (p < 0.0001). In primary NSCLC tumor specimens, there was a high frequency of either absence (42/173, 24.2%) or no/low expression (96/173,55.4%) of Foxa2. In 130 patients with stage I NSCLC there was a trend towards decreased survival in tumors with no/low expression of Foxa2 (HR of 1.6, 95%CI 0.9-3.1; p = 0.122). Conclusions: Loss of expression of Foxa2 is frequent in lung cancer cell lines and NSCLCs. The main mechanism of downregulation of Foxa2 is epigenetic silencing through promoter hypermethylation. Further elucidation of the involvement of Foxa2 and other airway transcription factors in the pathogenesis of lung cancer may identify novel therapeutic targets. (C) 2012 Elsevier Ireland Ltd. All rights reserved.
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Introduction: Denosumab, a fully human anti-RANKL monoclonal antibody, reduces the incidence of skeletal-related events in patients with bone metastases from solid tumors. We present survival data for the subset of patients with lung cancer, participating in the phase 3 trial of denosumab versus zoledronic acid (ZA) in the treatment of bone metastases from solid tumors (except breast or prostate) or multiple myeloma. Methods: Patients were randomized 1:1 to receive monthly subcutaneous denosumab 120 mg or intravenous ZA 4 mg. An exploratory analysis, using Kaplan-Meier estimates and proportional hazards models, was performed for overall survival among patients with non-small-cell lung cancer (NSCLC) and SCLC. Results: Denosumab was associated with improved median overall survival versus ZA in 811 patients with any lung cancer (8.9 versus 7.7 months; hazard ratio [HR] 0.80) and in 702 patients with NSCLC (9.5 versus 8.0 months; HR 0.78) (p = 0.01, each comparison). Further analysis of NSCLC by histological type showed a median survival of 8.6 months for denosumab versus 6.4 months for ZA in patients with squamous cell carcinoma (HR 0.68; p = 0.035). Incidence of overall adverse events was balanced between treatment groups; serious adverse events occurred in 66.0% of denosumab-treated patients and 72.9% of ZA-treated patients. Cumulative incidence of osteonecrosis of the jaw was similar between groups (0.7% denosumab versus 0.8% ZA). Hypocalcemia rates were 8.6% with denosumab and 3.8% with ZA. Conclusion: In this exploratory analysis, denosumab was associated with improved overall survival compared with ZA, in patients with metastatic lung cancer.
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La radioterapia è una tecnica molto impiegata per la cura del cancro. Attualmente la somministrazione avviene principalmente attraverso la intensity modulated radiotherapy (IMRT, sovrapposizione di campi ad intensità modulata), un cui sviluppo recente è la volumetric modulated arc therapy (VMAT, irradiazione continua lungo un arco ininterrotto). La generazione di piani richiede esperienza ed abilità: un dosimetrista seleziona cost functions ed obiettivi ed un TPS ottimizza la disposizione dei segmenti ad intensità modulata. Se il medico giudica il risultato non soddisfacente, il processo riparte da capo (trial-and-error). Una alternativa è la generazione automatica di piani. Erasmus-iCycle, software prodotto presso ErasmusMC (Rotterdam, The Netherlands), è un algoritmo di ottimizzazione multicriteriale di piani radioterapici per ottimizzazione di intensità basato su una wish list. L'output consiste di piani Pareto-ottimali ad intensità modulata. La generazione automatica garantisce maggiore coerenza e qualità più elevata con tempi di lavoro ridotti. Nello studio, una procedura di generazione automatica di piani con modalità VMAT è stata sviluppata e valutata per carcinoma polmonare. Una wish list è stata generata attraverso una procedura iterativa su un gruppo ristretto di pazienti con la collaborazione di fisici medici ed oncologi e poi validata su un gruppo più ampio di pazienti. Nella grande maggioranza dei casi, i piani automatici sono stati giudicati dagli oncologi migliori rispetto ai rispettivi piani IMRT clinici generati manualmente. Solo in pochi casi una rapida calibrazione manuale specifica per il paziente si è resa necessaria per soddisfare tutti i requisiti clinici. Per un sottogruppo di pazienti si è mostrato che la qualità dei piani VMAT automatici era equivalente o superiore rispetto ai piani VMAT generati manualmente da un dosimetrista esperto. Complessivamente, si è dimostrata la possibilità di generare piani radioterapici VMAT ad alta qualità automaticamente, con interazione umana minima. L'introduzione clinica della procedura automatica presso ErasmusMC è iniziata (ottobre 2015).
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Hepatoma-derived growth factor (HDGF) is overexpressed in lung cancer and the overexpression correlates with aggressive biological behaviors and poor clinical outcomes. We developed anti-HDGF monoclonal antibodies and tested their antitumor activity in lung cancer xenograft models. We also determined biological effects in tumors treated with the antibody alone or in combination with bevacizumab/avastin (an anti-vascular endothelial growth factor antibody) and/or gemcitabine (a chemotherapeutic agent). We found the anti-HDGF was effective to inhibit tumor growth in non-small cell lung cancer xenograft models. In the A549 model, compared with control IgG, tumor growth was substantially inhibited in animals treated with anti-HDGF antibodies, particularly HDGF-C1 (P = 0.002) and HDGF-H3 (P = 0.005). When HDGF-H3 was combined with either bevacizumab or gemcitabine, we observed enhanced tumor growth inhibition, particularly when the three agents were used together. HDGF-H3-treated tumors exhibited significant reduction of microvessel density with a pattern distinctive from the microvessel reduction pattern observed in bevacizumab-treated tumors. HDGF-H3-treated but not bevacizumab-treated tumors also showed a significant increase of apoptosis. Interestingly, many of the apoptotic cells in HDGF-H3-treated tumors are stroma cells, suggesting that the mechanism of the antitumor activity is, at least in part, through disrupting formation of tumor-stroma structures. Our results show that HDGF is a novel therapeutic target for lung cancer and can be effectively targeted by an antibody-based approach.
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Lung cancer remains the most common cause of cancer deaths worldwide, yet there is currently a lack of diagnostic noninvasive biomarkers that could guide treatment decisions. Small molecules (<1,500 Da) were measured in urine collected from 469 patients with lung cancer and 536 population controls using unbiased liquid chromatography/mass spectrometry. Clinical putative diagnostic and prognostic biomarkers were validated by quantitation and normalized to creatinine levels at two different time points and further confirmed in an independent sample set, which comprises 80 cases and 78 population controls, with similar demographic and clinical characteristics when compared with the training set. Creatine riboside (IUPAC name: 2-{2-[(2R,3R,4S,5R)-3,4-dihydroxy-5-(hydroxymethyl)-oxolan-2-yl]-1-methylcarbamimidamido}acetic acid), a novel molecule identified in this study, and N-acetylneuraminic acid (NANA) were each significantly (P < 0.00001) elevated in non-small cell lung cancer and associated with worse prognosis [HR = 1.81 (P = 0.0002), and 1.54 (P = 0.025), respectively]. Creatine riboside was the strongest classifier of lung cancer status in all and stage I-II cases, important for early detection, and also associated with worse prognosis in stage I-II lung cancer (HR = 1.71, P = 0.048). All measurements were highly reproducible with intraclass correlation coefficients ranging from 0.82 to 0.99. Both metabolites were significantly (P < 0.03) enriched in tumor tissue compared with adjacent nontumor tissue (N = 48), thus revealing their direct association with tumor metabolism. Creatine riboside and NANA may be robust urinary clinical metabolomic markers that are elevated in tumor tissue and associated with early lung cancer diagnosis and worse prognosis.
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Anticancer therapies currently used in the clinic often can neither eradicate the tumor nor prevent disease recurrence due to tumor resistance. In this study, we showed that chemoresistance to pemetrexed, a multi-target anti-folate (MTA) chemotherapeutic agent for non-small cell lung cancer (NSCLC), is associated with a stem cell-like phenotype characterized by an enriched stem cell gene signature, augmented aldehyde dehydrogenase activity and greater clonogenic potential. Mechanistically, chemoresistance to MTA requires activation of epithelial-to-mesenchymal transition (EMT) pathway in that an experimentally induced EMT per se promotes chemoresistance in NSCLC and inhibition of EMT signaling by kaempferol renders the otherwise chemoresistant cancer cells susceptible to MTA. Relevant to the clinical setting, human primary NSCLC cells with an elevated EMT signaling feature a significantly enhanced potential to resist MTA, whereas concomitant administration of kaempferol abrogates MTA chemoresistance, regardless of whether it is due to an intrinsic or induced activation of the EMT pathway. Collectively, our findings reveal that a bona fide activation of EMT pathway is required and sufficient for chemoresistance to MTA and that kaempferol potently regresses this chemotherapy refractory phenotype, highlighting the potential of EMT pathway inhibition to enhance chemotherapeutic response of lung cancer.
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The achaete-scute genes encode essential transcription factors in normal Drosophila and vertebrate nervous system development. Human achaete-scute homolog-1 (hASH1) is constitutively expressed in a human lung cancer with neuroendocrine (NE) features, small cell lung cancer (SCLC), and is essential for development of the normal pulmonary NE cells that most resemble this neoplasm. Mechanisms regulating achaete-scute homolog expression outside of Drosophila are presently unclear, either in the context of the developing nervous system or in normal or neoplastic cells with NE features. We now provide evidence that the protein hairy-enhancer-of-split-1 (HES-1) acts in a similar manner as its Drosophila homolog, hairy, to transcriptionally repress achaete-scute expression. HES-1 protein is detected at abundant levels in most non-NE human lung cancer cell lines which lack hASH1 but is virtually absent in hASH1-expressing lung cancer cells. Moreover, induction of HES-1 in a SCLC cell line down-regulates endogenous hASH1 gene expression. The repressive effect of HES-1 is directly mediated by binding of the protein to a class C site in the hASH1 promoter. Thus, a key part of the process that determines neural fate in Drosophila is conserved in human lung cancer cells. Furthermore, modulation of this pathway may underlie the constitutive hASH1 expression seen in NE tumors such as SCLC, the most virulent human lung cancer.