MicroRNA-137 and microRNA-29a expression in non-small cell lung cancer diagnosis and prognostic.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e17501-e17501
Author(s):  
Zhao Ming
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Real Time ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Cancer Tissue ◽  
Rt Pcr ◽  
Small Cell Lung ◽  
Nsclc Patients

e17501 Background: Current staging methods are inadequate for predicting the outcome of treatment of non–small-cell lung cancer (NSCLC). We investigated whether microRNA expression profiles can predict clinical outcome of NSCLC patients. Methods: We studied frozen specimens of lung-cancer tissue from 76 randomly selected patients who underwent surgical resection of NSCLC. Using real-time reverse-transcriptase polymerase chain reaction (RT-PCR) analysis, we chosed U6 as the internal control for real-time RT-PCR because it is invariant in clinical cancer specimens. We obtained microRNA137 and 29a expressions level in 76 NSCLC patients and evaluated diagnoisis value and the association between the level of expression and survival. Results: This microRNA137 is with diagnosis value, microRNA29a expression level signature is an independent predictor of the cancer relapse and survival of NSCLC patients. Conclusions: Our microRNA signature is closely associated with relapse-free and overall survival among patients with NSCLC.

scholarly journals Analysis of Long Non-Coding RNA Expression Profiles in Non-Small Cell Lung Cancer

2016 ◽  
Vol 38 (6) ◽  
pp. 2389-2400 ◽  
Author(s):  
Li Wang ◽  
Zhenhong Chen ◽  
Li An ◽  
Yajuan Wang ◽  
Zhijian Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Differentially Expressed ◽  
Expression Level ◽  
Small Cell Lung ◽  
Normal Tissues ◽  
Nsclc Patients

Background/Aims: Long non-coding RNAs (lncRNAs) play an important role in tumorigenesis. However, the role of lncRNA expression in human Non-small cell lung cancer (NSCLC) biology, prognosis and molecular classification remains unknown. Methods: We established the IncRNA profile in NSCLC by re-annotation of microarrays from the Gene expression omnibus database. Quantitative real-time PCR was used to determine expression of LINC00342. Results: 6066 differentially expressed IncRNAs were identified and we found a novel IncRNA, LINC00342 was significantly up-regulated in NSCLC tissues compared with normal tissues. We confirmed the over-expression of LINC00342 in a cohort of NSCLC patients and found LINC00342 expression level was positively correlated with lymph node metastasis and TNM stages. Furthermore, in a large online database of 1942 NSCLC patients, high expression of LINC00342 indicated poor Overall survival (HR = 1.28, 95% CI: 1.13-1.45) and post progression survival (HR = 1.43, 95% CI: 1.09-1.88). Bioinformatics analyses showed that LINC00342 was co-expressed with different protein-coding genes in NSCLC and normal tissues. Additionally, gene set enrichment analyses found that PTEN and P53 pathways genes were enriched in the groups with higher LINC00342 expression level. By small interfering RNAs mediated silence of LINC00342, proliferation ability was significantly inhibited in lung cancer cell line. Conclusion: To summary, our findings indicate that a set of IncRNAs are differentially expressed in NSCLC and we characterized a novel IncRNA, LINC00342 which is significantly up-regulated in NSCLC and could be a prognostic biomarker.

PD-018 Real-time quantification of CK-19 mRNA-positive cells inperipheral blood of patients using with non-small cell lung cancer (NSCLC) using Real Time RT-PCR

Lung Cancer ◽  
2005 ◽  
Vol 49 ◽  
pp. S71-S72
Author(s):  
G. Milaki ◽  
D. Mavroudis ◽  
S. Apostolaki ◽  
I. Souglakos ◽  
M. Perraki ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Real Time ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Rt Pcr ◽  
Small Cell Lung

Tumor-associated exosomal miRNA biomarkers to differentiate metastatic vs. nonmetastatic non-small cell lung cancer

2020 ◽  
Vol 58 (9) ◽  
pp. 1535-1545 ◽  
Author(s):  
Ning Wang ◽  
Wei Guo ◽  
Xingguo Song ◽  
Lisheng Liu ◽  
Limin Niu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Potential Candidate ◽  
Small Cell Lung ◽  
Diagnostic Biomarkers ◽  
Metastatic Nsclc ◽  
Nsclc Patients

AbstractBackgroundExosomal microRNAs (miRNAs) are proposed to be excellent candidate biomarkers for clinical applications. However, little is known about their potential value as diagnostic biomarkers for metastatic non-small cell lung cancer (NSCLC).MethodsIn this study, microarrays were used to determine distinct miRNA profiles of plasma exosomes in a discovery cohort of healthy donors, metastatic NSCLC and nonmetastatic NSCLC patients. Three potential candidate miRNAs were selected based on the differential expression profiles. The discovery set data were validated by quantitative real-time polymerase chain reaction using a validation cohort.ResultsNSCLC patients (n = 80) and healthy controls (n = 30) had different exosome-related miRNA profiles in plasma. Results demonstrated that the level of let-7f-5p was decreased in plasma exosomes of NSCLC patients (p < 0.0001). Further analysis of three differentially expressed miRNAs revealed that miR-320a, miR-622 and let-7f-5p levels could significantly segregate patients with metastatic NSCLC from patients with nonmetastatic NSCLC (p < 0.0001, p < 0.0001 and p = 0.023, respectively). In addition, the combination of let-7f-5p, CEA and Cyfra21-1 generated an area under the curve (AUC) of 0.981 for the diagnosis of NSCLC patients, and the combination of miR-320a, miR-622, CEA and Cyfra21-1 had an AUC of 0.900 for the diagnosis of patients with metastatic NSCLC.ConclusionsThis novel study demonstrated that plasma exosomal miRNAs are promising noninvasive diagnostic biomarkers for metastatic NSCLC.

scholarly journals Prognostic Value of Mature MicroRNA-21 and MicroRNA-205 Overexpression in Non–Small Cell Lung Cancer by Quantitative Real-Time RT-PCR

2008 ◽  
Vol 54 (10) ◽  
pp. 1696-1704 ◽  
Author(s):  
Athina Markou ◽  
Emily G Tsaroucha ◽  
Loukas Kaklamanis ◽  
Marianthi Fotinou ◽  
Vassilis Georgoulias ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Real Time ◽  
Cell Lung Cancer ◽  
Mirna Expression ◽  
Prognostic Value ◽  
Small Cell ◽  
Rt Pcr ◽  
Small Cell Lung ◽  
Mature Microrna

Abstract Background: microRNA (miRNA) expression profiles are being intensively investigated for their involvement in carcinogenesis. We evaluated the prognostic value of mature microRNA-21 (miR-21) and mature microRNA-205 (miR-205) overexpression in non–small cell lung cancer (NSCLC). Patients and methods: We studied 48 pairs of NSCLC fresh frozen tissue specimens collected at time of surgery and before chemotherapy. Highly specific amplification and quantification of mature miR-21 and mature miR-205 was achieved using looped real time RT-PCR. Results: miRNA expression, determined by real time RT-PCR, was defined by ΔΔCt measurements. We detected overexpression of mature miR-21 in 25 (52.0%) of the 48 NSCLC paired specimens and overexpression of miR-205 in 31 (64.6%). Overexpression was assessed after comparison of miRNA expression in NSCLC tissues and in their corresponding noncancerous tissues with respect to U6 expression. During the follow-up period, 29 of 48 (60.4%) patients relapsed, and 23 of 48 died (47.9%). Mature miR-21 was upregulated in 16 of 29 (55.2%) patients who relapsed and 15 of 23 (65.2%) patients who died. Mature miR-205 was overexpressed in 19 of 29 patients who relapsed (65.5%) and 15 of 23 patients who died (65.2%). Mature miR-21 overexpression correlated with overall survival (OS) of the patients (P = 0.027), whereas overexpression of mature miR-205 did not. Conclusions: Our results suggest that overexpression of mature miR-21 is an independent negative prognostic factor for OS in NSCLC patients.

Neutrophils Correlate with Hypoxia Microenvironment and Promote Progression of Non-Small-Cell Lung Cancer

2021 ◽  
Author(s):  
Chunyan Zhang ◽  
Bingxiang Tang ◽  
Jianping Hu ◽  
Xiang Fang ◽  
Hongzhi Bian ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Migration And Invasion ◽  
Small Cell Lung ◽  
Significant Difference ◽  
Nsclc Patients

Abstract Background: Hypoxia, a strong and selective pressure, has been involved in invasion, metastasis, and angiogenesis of tumor cells. Methods: Our study performed the transcriptome profiles of 666 non-small-cell lung cancer (NSCLC) patients with clinical parameters from 3 microarray datasets. Various bioinformatic approaches were combined to evaluate the immune cell infiltration in the high hypoxia risk patients. In addition, in vitro experiments were performed to assess the effects of TANs on NSCLC cells proliferation, migration and invasion and to reveal the underlying mechanisms.Results: To develop a prognostic prediction model for NSCLC patients, we divided NSCLC into two groups (Cluster1/2) based on the expression profiles of hypoxia-associated genes. Compared with the Cluster1 subgroup, the Cluster2 had a worse prognosis. Significant enrichment analysis revealed that PI3K/AKT/mTOR signaling pathway and tumor-associated neutrophils (TANs) were highly related to hypoxia microenvironment. Eleven hypoxia-related genes were scored by LASSO COX regression to yield risk scores, and we revealed a significant difference in overall survival (OS) between the low- and high-risk groups. The receiver operating characteristic (ROC) curve and calibration curves suggested that the risk score can predict survival in NSCLC. Mechanistically, CXCL6 in hypoxic cancer cells promoted the migration of TANs in vitro, and in turn promote NSCLC cells proliferation, migration and invasion. Conclusions: In summary, this study revealed a 11‐hypoxia gene signature that predicted OS of NSCLC patients, and improved our understanding of the role of TANs in hypoxia microenvironment.

scholarly journals Systematic Analysis of Expression Profiles and Prognostic Significance for FAM83 Family in Non-small-Cell Lung Cancer

2020 ◽  
Vol 7 ◽  
Author(s):  
Junqing Gan ◽  
Yanjing Li ◽  
Qingwei Meng
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Sequence Similarity ◽  
Expression Profiles ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

BackgroundLung cancer remains a common malignancy and the leading cause of cancer-related deaths in the world. Although dramatic progress made in multimodal therapies, it still has a poor prognosis. The Family with sequence similarity 83 (FAM83) of poorly characterized proteins are defined by the presence of the conserved DUF1669 domain of unknown function at their N-termini, most of which significantly elevated levels of expression in multiple cancers. However, the expression and prognostic values of different FAM83 family in lung cancer, especially in non-small-cell lung cancer (NSCLC), have not been clarified.MethodsONCOMINE, UALCAN, GEPIA, Kaplan–Meier Plotter, cBioPortal, and STRING databases were utilized in this study.ResultsThe transcriptional levels of FAM83A/B/C/D/F/G/H were up-regulated in patients with NSCLC. A noticeable correlation was found between the over-expressions of FAM83A/B/D/F/H and clinical cancer stages in NSCLC patients. Besides, higher mRNA expressions of FAM83A/B/C/D/F/H were discovered to be expressively associated with overall survival (OS) in lung cancer patients, furthermore, FAM83A, FAM83C, and FAM83H in OS group achieved 0.9475/1, 0.971897/1, and 0.9454545/0.8974359 specificity/sensitivity in distinguishing short survivors from long survivors, respectively. Moreover, a high mutation rate of FAM83 family (51%) was also observed in lung adenocarcinoma (LUAD) patients, and genetic alteration in the FAM83 family was associated with shorter OS and disease-free survival (DFS) in LUAD patients.ConclusionOur results indicated that FAM83A/H might play important roles in NSCLC tumorigenesis and might be risk factor for the survival of NSCLC patients.

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