2008
DOI: 10.1016/j.ccr.2007.12.008
|View full text |Cite
|
Sign up to set email alerts
|

MicroRNA Signature Predicts Survival and Relapse in Lung Cancer

Abstract: We investigated whether microRNA expression profiles can predict clinical outcome of NSCLC patients. Using real-time RT-PCR, we obtained microRNA expressions in 112 NSCLC patients, which were divided into the training and testing sets. Using Cox regression and risk-score analysis, we identified a five-microRNA signature for the prediction of treatment outcome of NSCLC in the training set. This microRNA signature was validated by the testing set and an independent cohort. Patients with high-risk scores in their… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

13
569
3
5

Year Published

2008
2008
2018
2018

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 735 publications
(590 citation statements)
references
References 46 publications
13
569
3
5
Order By: Relevance
“…Invasive lung carcinoma is characterised by the presence of many various genetic and epigenetic alterations in tumour cells [80]. This leads to deregulated expression of certain miRNAs [81], resulting in significant changes in their concentrations and compositions and, consequently, their activities (described as miRNA under-or overexpression), and these miRNAs are potential biomarkers of clinical relevance [82,83]. Previous studies have confirmed the usefulness of miRNAs as biomarkers of NSCLC [48,[84][85][86].…”
Section: Methods Of Mirna Expression Analysismentioning
confidence: 99%
“…Invasive lung carcinoma is characterised by the presence of many various genetic and epigenetic alterations in tumour cells [80]. This leads to deregulated expression of certain miRNAs [81], resulting in significant changes in their concentrations and compositions and, consequently, their activities (described as miRNA under-or overexpression), and these miRNAs are potential biomarkers of clinical relevance [82,83]. Previous studies have confirmed the usefulness of miRNAs as biomarkers of NSCLC [48,[84][85][86].…”
Section: Methods Of Mirna Expression Analysismentioning
confidence: 99%
“…Several groups showed that miRNA profiling allows to distinguish histological lung cancer subtypes (Lebanony et al, 2009;Bishop et al, 2010). Furthermore, specific miRNA profiles have been evaluated to predict prognosis and disease recurrence in early-stage lung cancer (Yu et al, 2008;Patnaik et al, 2010). For example, let-7, which targets KRAS, was one of the first miRNAs found dysregulated in lung cancer with a prognostic role (Takamizawa et al, 2004).…”
Section: Introductionmentioning
confidence: 99%
“…The tumorigenic relevance of miRNAs is highlighted by the expression signatures inferred from miRNA expression profiling in a large variety of human cancers (Calin and Croce, 2006). In addition to a broadly relevant signature including 21 miRNAs overexpressed in the majority of solid tumors (Volinia et al, 2006), a variety of tumorspecific miRNA expression profiles are highly predictive for the diagnosis and prognosis of human malignancies, such as breast and lung cancer Yu et al, 2008). Importantly, miRNAs exhibit high therapeutic potential, as shown by the in vivo application of chemically modified miRNA inhibitors (antagomirs), for treatment of animal models of human disease (Elmen et al, 2008).…”
Section: Introductionmentioning
confidence: 99%