Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA377341 | ENA |
REPOSITORIES: ENA
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Project description:Squamous cell lung carcinoma (SCC) corresponds to about 25% of all lung cancers. Therapeutic approaches are very limited and platinum-based chemotherapy remains the main treatment option. Despite multiple studies, there are no generally accepted predictive biomarkers for SCC. Transforming growth factor-β (TGFβ) signaling was shown to be implicated in numerous pro-tumorigenic processes, including immune evasion, inflammation and cancer metastasis. In the context of SCC epithelial-to-mesenchymal transition phenotype that is commonly mediated by TGFβ was widely observed in surgically resected specimens. However, the relation between TGFβ-induced changes and SCC progression remains to be elucidated. In the presented work, we combined phenotypic and transcriptome-wide approaches to identify novel predictive biomarkers for SCC. We show that TGFβ treatment activated Smad-mediated signal transduction and resulted in increase of migratory and invasive properties of SK-MES1 cells. Multiple actin cytoskeleton-related proteins, including myosin motor proteins such as Myosin-X, were up-regulated upon TGFβ stimulation. siRNA-mediated knockdown of Myosin-X completely abrogated TGFβ-induced collagen gel invasion. Finally, analysis of mRNA expression in paired surgically resected tissues of 151 SCC patients with corresponding 80-month clinical follow-up, showed that the mRNA expression ratio of Myosin-X in tumor and adjacent non-tumor tissue is predictive for overall survival and chemotherapy resistance independently of tumor stage. Given Myosin-X role in cellular motility and invasion, it can represent a new biomarker for aggressive disease and serve as a potential molecular target for therapeutic intervention in patients with SCC.
2018-06-15 | GSE95536 | GEO
Project description:The paper describes a model of resistance of cancer to chemotherapy.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modelling chemotherapy resistance in palliation and failed cure
Helen C. Monro, Eamonn A. Gaffney
J Theor Biol. 2009, 257 (2), pp.292
Abstract:
The goal of palliative cancer chemotherapy treatment is to prolong survival and improve quality of life when tumour eradication is not feasible. Chemotherapy protocol design is considered in this context using a simple, robust, model of advanced tumour growth with Gompertzian dynamics, taking into account the effects of drug resistance. It is predicted that reduced chemotherapy protocols can readily lead to improved survival times due to the effects of competition between resistant and sensitive tumour cells. Very early palliation is also predicted to quickly yield near total tumour resistance and thus decrease survival duration. Finally, our simulations indicate that failed curative attempts using dose densification, a common protocol escalation strategy, can reduce survival times.
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2019-08-02 | BIOMD0000000776 | BioModels
Project description:Lung cancer is the leading cause of cancer mortality and is classified by the World Health Organization into two broad histological subtypes. Non–small cell lung cancer (NSCLC), including adenocarcinoma, squamous cell carcinoma, and large cell carcinoma, accounts for ~85% of all lung cancer cases, with the remaining 15% of cases being due to small cell lung cancer (SCLC), which arises from neuroendocrine cells in the lung. Although most SCLC tumors are initially responsive to chemotherapy and radiation, patients often experience relapse, with the tumor acquiring an aggressiveness and therapeutic resistance that lead to a poor clinical outcome. Improvement of overall survival in individuals with SCLC will require the identification of novel therapeutic targets based on a better understanding of the changes in intracellular signaling of aggressive SCLC cells. The malignant progression of SCLC often occurs concomitantly with the acquisition of chemoresistance, suggesting that phenotypic malignant change is related to adaptation to the stresses induced by chemotherapy. In order to analyze gene expression changes associated with malignant transformation in SCLC, we established a cisplatin-resistant SCLC cell line and performed RNA sequencing.
2021-03-04 | GSE168184 | GEO
Project description:Chemotherapy resistance adversely impacts the treatment of some individuals with esophageal cancer. Identifying chemotherapy resistance might help tailor clinical treatments. In this study the impact of microRNAs on chemotherapy resistance in esophageal cancer was investigated. We used microarrays to detail the global programme of microRNA expression underlying chemotherapy resistance and identified distinct classes of up-regulated microRNAs in generated chemotherapy resistant cell lines. An in-vitro model of acquired chemotherapy resistance in esophageal adeno- (EAC) and squamous cell carcinoma (SCC) cells was used, and microRNA expression profiles for cisplatin or 5-fluorouracil (FU) resistant variants vs. chemotherapy sensitive controls were compared using microarray. These results were further validated using qRT-PCR techniques (not shown in this submission).
2013-08-28 | E-GEOD-50224 | biostudies-arrayexpress
Project description:KIAA1522 is aberrantly over-expressed and predicts the outcome of platinum-base chemotherapy. Down-regulation of KIAA1522 sensitizes lung adenocarcinoma cells to cisplatin. To evaluate the molecular mechanisms underlying KIAA1522-induced cisplatin resistance. The RNA sequencing assays were performed in KIAA1522-depleted 889 cells.
2020-08-31 | GSE146072 | GEO
Project description:In this study, we have analyzed the transcriptional patterns of breast cancer cell lines and tumors of NAC resistant patients evaluated by GGI, and screened potential genes associated with chemoresistance. Furthermore, we have constructed a neoadjuvant chemotherapy response risk model and examined the evaluation accuracy of the risk score for NAC response. We conducted molecular bioinformatics analysis of the genes that constitute the chemotherapy resistance risk score, and explored potential drugs to reverse breast cancer chemotherapy resistance. Finally, we have examined the the risk score for predicting prognosis in breast cancer. In all, we have reported a novel signature to evaluate neoadjuvant chemotherapy response and predicts prognosis in breast cancer, and screened out potential drugs to reverse chemotherapy resistance in breast cancer.
2022-10-11 | GSE197931 | GEO
Project description:Triple-negative breast cancer (TNBC) is an aggressive subtype with few treatment options for chemo-resistant disease. In both preclinical models and patient circulating tumor cells, androgen receptor (AR) expression is increased in anchorage independent TNBC. The AR inhibitor enzalutamide (Enza) leads to reduced TNBC growth in soft agar, invasion, mammosphere formation in vitro, and reduced tumorigenicity and recurrence when combined with chemotherapy in vivo pre-clinical models. Transforming growth factor β (TGFβ) pathway gene signatures are also increased during TNBC anchorage independent survival both in vitro and in vivo in pre-clinical models and CTC from patients during relapse while on chemotherapy. We hypothesized that a positive loop between AR and TGFβ signaling facilitates TNBC anchorage independent survival (anoikis resistance). We previously published that AR protein levels and transcriptional activity increased during anchorage independent conditions and we now find that that multiple components of the TGFβ pathway, including TGFβ1 and 3, as well as pathway activity, as measured by nuclear localization and transcriptional activity of pSmad3, are enhanced in anchorage independent conditions. Indeed, exogenous TGFβ increased AR protein and TGFβ inhibition decreased AR and TNBC viability, particularly under anchorage independent culture conditions. ChIP-Seq experiments revealed AR binding to genomic regions near the TGFB1 and SMAD3. TGFB3 and AR expression were positively correlated in clinical datasets and high levels of co-expression correspond to significantly worse recurrence-free and overall survival in both ER- and basal-like breast cancer. Finally, combining Enza with a TGFβ inhibitor decreased cell survival more than either drug alone, particularly under anchorage independent conditions, where the effect was more than additive. These findings warrant further investigations into whether combined inhibition of AR and TGFβ pathways might decrease metastatic recurrence rates and mortality from TNBC.
2021-11-10 | GSE157862 | GEO
Project description:Oesophageal cancer is the ninth most common cancer in the UK and accounts for 5% of all cancer deaths. The incidence of the disease in men has risen 50% in the last 25 years with the commonest pathological subtype in the West being adenocarcinoma, while in East Asia oesophageal squamous cell carcinoma predominates. Despite efforts to screen for Barrett’s oesophagus, and pre-operatively select OAC patients who are likely to benefit from potentially curative surgery, survival remains poor. The five year survival rate is less than 17% and even in early stage locoregional confined disease this figure lies between 25-35%. A significant improvement in overall survival has been demonstrated with neo-adjuvant or peri-operative chemotherapy but the optimal approach for individual patients remains unclear. A consistent finding has been that complete histopathological response to neo-adjuvant chemotherapy is a prognostic biomarker for increased survival benefit. Therefore, there is a pressing need to identify biomarkers capable of predicting response, enabling clinicians to select patients for whom neo-adjuvant therapies would be beneficial. This experiment represents gene expression profiling of 60 pre-treatment formalin-fixed paraffin embedded (FFPE) oesophageal adenocarcinoma biopsies. All patients were treated with neo-adjuvant cisplatin-based chemotherapy prior to surgical resection at the Northern Ireland Cancer Centre from 2004-2012. The aim of the experiment was to carry out functional enrichment of pathological responders and non-responders to neo-adjuvant chemotherapy in order to identify novel mechanism of drug resistance or chemo-sensitivity.
2018-05-10 | E-MTAB-4666 | biostudies-arrayexpress
Project description:Lung cancer is the second leading cause of cancer death worldwide and is strongly associated with cisplatin resistance. The transcription factor STAT3 is constitutively activated in cancer cells and coordinates critical cellular processes as survival, self-renewal, and inflammation. In several types of cancer, STAT3 controls the development, immunogenicity, and malignant behavior of tumor cells while dictates the responsiveness to radio- and chemotherapy. It is known that STAT3 phosphorylation on Ser727 by mTOR is necessary for its maximal activation, but the crosstalk between STAT3 and mTOR signaling in cisplatin resistance remains elusive. In this study, using a proteomic label-based approach, we reveal important targets and signaling pathways increased and decreased in cisplatin-resistant A549 lung adenocarcinoma cells.
2022-02-17 | PXD025778 | Pride
Project description:Lung cancer is the leading cause of cancer related deaths, worldwide. Fibroblast growth factor receptor 1 (FGFR1) gene amplification is one of the most prominent and potentially targetable genetic alterations in squamous cell lung cancer (SQCLC). Highly selective tyrosine kinase inhibitors have been developed to target FGFR1, however, resistance mechanisms originally existing in patients or acquired throughout treatment have limited treatment efficiency in clinical trials, so far. In this study, we performed a wide-scale phosphoproteomic mass spectrometry analysis to explore signaling pathways that lead to FGFR1 inhibition resistance in lung cancer cells with intrinsic, induced and mutational resistance. We identified a CD44/AKT signaling axis as a new and common mechanism of resistance to FGFR1 inhibition in lung cancer. Co-inhibition of AKT or CD44 synergistically sensitized intrinsic and induced resistant cells to FGFR1 inhibition. Furthermore, strong CD44 expression was significantly correlated to AKT activation in squamous cell lung cancer patients. Collectively, our phosphoproteomic analysis of FGFR1 inhibitor resistant lung cancer cells promotes a large data library of resistance associated phosphorylation patterns and proposes a common resistance pathway consisting of CD44 and AKT activation. Examination of CD44/AKT activation could help to predict response to FGFR1 inhibition and combination with AKT inhibitors might path the way for an effective therapy of FGFR1 dependent lung cancer patients in case of treatment resistance.
2022-08-12 | PXD025389 | Pride