scholarly journals Screening common signaling pathways associated with drug resistance in non‐small cell lung cancer via gene expression profile analysis

2019 ◽  
Vol 8 (6) ◽  
pp. 3059-3071 ◽  
Author(s):  
Ting Sun ◽  
Qitai Zhao ◽  
Chaoqi Zhang ◽  
Ling Cao ◽  
Mengjia Song ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Drug Resistance ◽  
Small Cell Lung Cancer ◽  
Signaling Pathways ◽  
Gene Expression Profile ◽  
Profile Analysis ◽  
Small Cell ◽  
Small Cell Lung ◽  
Expression Profile Analysis

scholarly journals P1.05-014 Stemness Gene Expression Profile of Tumorspheres from Non-Small Cell Lung Cancer

2017 ◽  
Vol 12 (1) ◽  
pp. S621-S622
Author(s):  
Alejandro Herreros Pomares ◽  
Silvia Calabuig Fariñas ◽  
Ester Munera Maravilla ◽  
Ana Blasco ◽  
Aminta Isabel Martinez ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung

Gene-expression profile of primary non-small cell lung cancer associated with brain metastasis: A prospective study.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e18028-e18028
Author(s):  
Oscar Arrieta ◽  
David Saavedra-Perez ◽  
Alette Ortega ◽  
Claudia Rangel ◽  
Alejandro Aviles-Salas ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Prospective Study ◽  
Small Cell Lung Cancer ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Cell Lung Cancer ◽  
External Validation ◽  
Small Cell ◽  
Small Cell Lung

e18028 Background: Brain metastases (BM) occur in 30-50% of non-small cell lung cancer (NSCLC) patients and confer worse prognosis and quality of life. Better selection of in-risk patients through an accurate biomarker could improve the benefit of prophylactic therapies. The aim of this prospective study was to determine a gene-expression profile (GEP) of primary tumor (PT) associated with BM in patients with advanced NSCLC. Methods: From January 2009 to June 2011, patients with stage IV of NSCLC were evaluated. PT core biopsy was performed prior to any treatment and snap-frozen. Samples with tumor cellularity > 70% and RNA integrity number > 8 were chosen for RNA isolation. A cDNA microarray platform representing 33,297 genes was used to obtain GEPs. All patients received standard chemotherapy. BM were confirmed by magnetic resonance imaging. Non- and supervised hierarchical clustering methods were employed to identify GEPs. Results: A total of 29 patients were enrolled, 79.4% (23/29) were adenocarcinomas, and 20.6% have other histology. BM were present in 15 (51.7%) patients, 14 at diagnosis and 1 was developed at 5 months of follow-up. Clinical characteristics were similar for patients with and without BM. At non- and supervised analyses, 35 genes up and down regulated were evidenced in BM group. From these, 11 transcripts with proteomic functions previously associated with metastasis processes were identified. Conclusions: Our work provides valuable biological information for development of predictive biomarkers for metastatic brain tumors from primary NSCLC. External validation of our gene-expression signature in a different set of patients is warranted. [Table: see text]

scholarly journals Apoptosis Gene Expression Profile in Early-Stage non Small Cell Lung Cancer

2010 ◽  
Vol 13 (2) ◽  
pp. 47-52
Author(s):  
S Metodieva ◽  
R Cherneva ◽  
D Nikolova ◽  
G Genchev ◽  
D Petrov ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Gene Expression Profile ◽  
Cell Lung Cancer ◽  
Early Stage ◽  
Small Cell ◽  
Small Cell Lung ◽  
Early Stage Nsclc ◽  
Apoptosis Gene

Apoptosis Gene Expression Profile in Early-Stage non Small Cell Lung CancerNon small cell lung cancer (NSCLC) is a highly aggressive malignancy with survival rates limited to some patients in early stages (I and II). Apoptosis resistance is a hallmark of solid tumors that is tightly concerned with their biology. We analyzed the expression of 84 apoptosis-related genes in a group of Bulgarian patients with early-stage NSCLC.RNA samples extracted from 12 early-stage NSCLC patients [five squamous cell carcinomas (SCC) and seven adenocarcinomas (AC)] and eight adjacent non neoplastic pulmonary tissues were used for gene expression analysis. We applied pathway-focused expression profiling of 84 apoptosis-related genes using real-time PCR.Apoptosis-related genes down regulated in NSCLC compared to non tumor lung tissue (p <0.05) included representatives of the tumor necrosis factor (TNF) ligand family [TNF superfamily 8 (TNFSF8)], caspase cascade (CASP8 and CASP10) and caspase recruitment domain (CARD) family (BCL10), the positive apoptosis regulator DAPK1 and BCL2 family member MCL1. The potential of apoptosis-related genes as prognostic and predictive markers should be validated in future studies.

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