Skip to main content
Erschienen in: Journal of Translational Medicine 1/2011

Open Access 01.12.2011 | Research

Prognostic Impact of MiR-155 in Non-Small Cell Lung Cancer Evaluated by in Situ Hybridization

verfasst von: Tom Donnem, Katrine Eklo, Thomas Berg, Sveinung W Sorbye, Kenneth Lonvik, Samer Al-Saad, Khalid Al-Shibli, Sigve Andersen, Helge Stenvold, Roy M Bremnes, Lill-Tove Busund

Erschienen in: Journal of Translational Medicine | Ausgabe 1/2011

Abstract

Background

In recent years, microRNAs (miRNAs) have been found to play an essential role in tumor development. In lung tumorigenesis, targets and pathways of miRNAs are being revealed, and further translational research in this field is warranted. MiR-155 is one of the miRNAs most consistently involved in various neoplastic diseases. We aimed to investigate the prognostic impact of the multifunctional miR-155 in non-small cell lung cancer (NSCLC) patients.

Methods

Tumor tissue samples from 335 resected stage I to IIIA NSCLC patients were obtained and tissue microarrays (TMAs) were constructed with four cores from each tumor specimen. In situ hybridization (ISH) was used to evaluate the expression of miR-155.

Results

There were 191 squamous cell carcinomas (SCCs), 95 adenocarcinomas (ACs), 31 large cell carcinomas and 18 bronchioalveolar carcinomas. MiR-155 expression did not have a significant prognostic impact in the total cohort (P = 0.43). In ACs, high miR-155 expression tended to a significant negative prognostic effect on survival in univariate analysis (P = 0.086) and was an independent prognostic factor in multivariate analysis (HR 1.87, CI 95% 1.01 - 3.48, P = 0.047). In SCC patients with lymph node metastasis, however, miR-155 had a positive prognostic impact on survival in univariate (P = 0.034) as well as in multivariate (HR 0.45, CI 95% 0.21-0.96, P = 0.039) analysis.

Conclusions

The prognostic impact of miR-155 depends on histological subtype and nodal status in NSCLC.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1479-5876-9-6) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

TD participated in the design of the study, contributed to the clinical and demographic database, did the statistical analysis and drafted the manuscript. KE, TB and KL carried out and supervised the ISH. SWS and KE scored the cores. KAS, SAS, SA and HS contributed in the clinical and demographic database and KAS and SAS in making the TMAs. RB and LTB supervised and participated in the study design, result interpretation and in the writing.
All authors read and approved the final manuscript.

Introduction

Lung cancer is the leading cause of cancer-related mortality in both men and women [1]. Despite several new treatment achievements, the consistently poor 5-year survival for lung cancer patients underscores the need for novel modalities for early detection, prognostification and targeted therapies [1, 2].
MicroRNAs (miRNAs) are approximately 19-22 nucleotides single stranded RNAs playing crucial roles in regulating gene expression by either inducing mRNA degradation or inhibiting translation [3, 4]. These non-coding RNAs can simultaneously regulate hundreds to thousands of their target genes or up to one third of the genome, thereby controlling a wide range of biological functions including apoptosis, proliferation and differentiation [3, 5].
To date miR-155 is one of the miRNAs most consistently involved in neoplastic diseases in both hematopoietic malignancies (i.e. Hodgkin's lymphoma, some types of Non Hodgkin's lymphoma, AML and CML) and solid tumors (e.g. breast, colon, cervical, thyroid, pancreatic and lung cancer) [616]. MiR-155 is also involved in other biological processes like hematopoiesis, inflammation and immunity [6]. The frequently detected up-regulation of miR-155 in malignant cells indicates a major role as an oncogene, however, a possible tumor suppression function has also been suggested [17]. In non-small cell lung cancer (NSCLC), miR-155 has so far been considered as an oncogene and been associated with a poor prognosis [13, 16], though a recent large scale study did not find miR-155 to have any prognostic or predictive impact [18].
NSCLC classification according to histology and nodal status are two of the most important determinants for NSCLC treatment strategies [13, 19]. However, a considerable variability in prognosis has been observed for subsets of patients with the same clinical features. Consequently, the clinical incorporation of predictive and prognostic molecular biomarkers with traditional cancer staging should improve the management of patients with NSCLC.
Squamous cell carcinomas (SCCs) and adenocarcinomas (ACs) are the major histological subtypes of NSCLC. During recent years, treatment responses and side effects by novel therapies have been correlated to NSCLC subgroups according to histology, gender, ethnicity and smoking status. The vascular endothelial growth factor (VEGF) monoclonal antibody, bevacizumab, is only given to non-SCCs due to the risk of fatal bleeding in SCCs [20]. Further, mutations in epidermal growth factor receptor (EGFR) and response to EGFR tyrosine kinase inhibitors appear related to ACs, female gender, Asian ethnicity and non-smokers, and the new antifolate agent pemetrexed appears to have better response in non-SCC patients and females [21, 22]. Consequently, ACs and SCCs are increasingly recognized as different diseases instead of one.
In an unselected NSCLC cohort of 335 patients [23] we aimed to explore, using in situ hybridization on a high throughput platform, possible prognostic roles by miR-155 in all NSCLC cases and subgroups according to histology and stage.

Patients and Methods

Patients and Clinical Samples

Primary tumor tissues from anonymized patients diagnosed with NSCLC pathologic stage I to IIIA at the University Hospital of Northern Norway (UNN) and Nordland Central Hospital (NLCH) from 1990 through 2004 were used in this retrospective study. In total, 371 patients were registered from the hospital database. Of these, 36 patients were excluded from the study due to: (i) Radiotherapy or chemotherapy prior to surgery (n = 10); (ii) Other malignancy within five years prior to NSCLC diagnosis (n = 13); (iii) Inadequate paraffin-embedded fixed tissue blocks (n = 13). Adjuvant chemotherapy was not introduced in Norway during this period (1990 - 2004). Thus, 335 patients with complete medical records and adequate paraffin-embedded tissue blocks were eligible.
This report includes follow-up data as of November 30, 2008. The median follow-up of survivors was 86 (range 48-216) months. The tumors were staged according to the new 7th edition of TNM in Lung Cancer and histologically subtyped and graded according to the World Health Organization guidelines [19, 24]. Regarding N-status, ipsilateral peribronchial or hilar nodes and intrapulmonary nodes are defined as N1, while N2 includes ipsilateral mediastinal or subcarinal nodes. The term N+ (lymph node metastasis present) includes both N1 and N2. The National Data Inspection Board and The Regional Committee for Research Ethics approved the study.

Microarray Construction

All lung cancer cases were histologically reviewed by two pathologists (S.A.S. and K.A.S.) and the most representative areas of viable tumor cells were carefully selected. The TMAs were assembled using a tissue-arraying instrument (Beecher Instruments, Silver Springs, MD). The Detailed methodology has been previously reported [23]. Briefly, we used a 0.6 mm diameter stylet, and the study specimens were routinely sampled with four replicate core samples (different areas) of tumor tissue. In addition normal lung tissue localized distant from the primary tumor, and one slide with normal lung tissue samples from 20 patients without a cancer diagnosis were stained. Multiple 4-μm sections were cut with a Micron microtome (HM355S) and used for in situ hybridization analysis.

In Situ Hybridization (ISH)

In situ hybridization was performed following the protocol developed by Nuovo et al.[25], with some minor adjustments. Digoxigenin (DIG) labeled locked nucleic acid (LNA) modified probes for miR-155 (hsa-miR-155), positive control (U6, hsa/mmu/rno) and negative control (scramble-miR) were purchased from Exiqon, Vedbek, Denmark.
Briefly, we placed 4 μm sections of the TMA blocks in a heater at 59°C over night to attach cores to the silane-coated slide. Sections were deparaffinised with xylene (2 × 5 min), rehydrated with ethanol (100 - 50 - 25% for 5 min each), and treated with DEPC water for 1 min. Protease treatment was performed with pepsin solution (1.3 mg/ml) (Dako, Glostrup, Denmark) at 37°C for 50 min. Following a postfixation step in 4% paraformaldehyde (PFA), hybridization of the LNA-probe was carried out in a Hybrite (Abbott Laboratories, IL) at 60°C for 5 min and 37°C over night (12-18 h). Low-stringency post-hybridization wash done at 4°C in SSC with 2% BSA for 5 min, followed by incubation with anti-DIG/alkaline phosphate conjugate antibodies (Enzo Diagnostics, NY) in a heater at 37°C for 30 min. The blue color was developed by incubation of the slide with nitroblue tetrazolium and bromchloroindolyl phosphate (NBT/BCIP) (Enzo Diagnostics, NY) at 37°C. The colorimetric reaction was monitored visually and stopped by placing the slides in water when background coloring started to appear on the negative control (scrambled probe), varying from 15-30 min. The slides were counterstained with nuclear fast red (Enzo Diagnostics, NY) to visualize the nuclei, before cover glass mounting.

Scoring of ISH

The ARIOL imaging system (Genetix, San Jose, CA) was used to scan the TMA slides of ISH staining. The slides were loaded in the automated loader (Applied Imaging SL 50) and specimens were scanned at low (1.25×) and high resolution (20×) using the Olympus BX 61 microscope with an automated platform (Prior). Representative and viable tissue sections were scored manually semiquantitatively for cytoplasmic staining on computer screen. The dominant staining intensity in tumor cells was scored as: 0 = negative; 1 = weak; 2 = intermediate; 3 = strong (Figure 1). In case of disagreement (score discrepancy >1), the slides were re-examined and a consensus was reached by the observers. In most cores there was a mixture of stromal cells and tumor cells. By morphological criteria only tumor cells were scored staining intensity.
All samples were anonymized and independently scored by one experienced pathologist and one technician (S.W.S. and K.E.). When assessing a variable for a given core, the observers were blinded to the scores of the other observer and to outcome. Mean score for each case was calculated from all four cores and both examiners. The median miR-155 expression value was used as cut-off.

Statistics

All statistical analyses were done using the statistical package SPSS (Chicago, IL), version 17. The Chi-square test and Fishers Exact test were used to examine the association between molecular marker expression and various clinicopathological parameters. The ISH scores from each observer were compared for interobserver variability by use of a two-way random effect model with absolute agreement definition. The intraclass correlation coefficient (reliability coefficient) was obtained from these results. Plots of the disease-specific survival (DSS) according to marker expression were drawn using Kaplan-Meier method, and statistical significance between survival curves was assessed by the log rank test. DSS was determined from the date of surgery to the time of lung cancer death. The multivariate analysis was carried out using the Cox proportional hazards model. Variables with P < 0.1 from the univariate analysis were entered into the Cox regression analysis. The significance level used was P < 0.05.

Results

Clinicopathological Variables

Demographic, clinical, and histopathological variables are shown in Table 1. The median age was 67 (range, 28-85) years and the majority of patients were male (75%). The NSCLC tumors comprised 191 squamous cell carcinomas (SCCs), 95 adenocarcinomas (ACs), 31 large cell carcinomas and 18 bronchioloalveolar carcinomas. Due to nodal metastasis or non-radical surgical margins, 59 (18%) patients received adjuvant radiotherapy.
Table 1
Prognostic Clinicopathologic Variables as Predictors for Disease-Specific Survival in 335 NSCLC Patients (Univariate Analyses; Log-rank Test).
Characteristic
Patients (n)
Patients (%)
Median survival (months)
5-Year survival (%)
P
Age
    
0.34
   ≤65 years
156
47
83
55
 
   >65 years
179
53
NR
60
 
Sex
    
0.20
   Female
82
25
190
63
 
   Male
253
75
83
56
 
Smoking
    
0.23
   Never
15
5
19
43
 
   Current
215
64
NR
60
 
   Former
105
31
71
54
 
Performance status
    
0.013
   ECOG 0
197
59
NR
63
 
   ECOG 1
120
36
64
52
 
   ECOG 2
18
5
25
33
 
Weight loss
    
0.71
   <10%
303
90
127
58
 
   >10%
32
10
98
57
 
Histology
    
0.028
   SCC
191
57
NR
66
 
   Adenocarcinoma
95
34
47
41
 
   LCC
31
9
98
56
 
   BAC
18
 
NR
71
 
Differentiation
    
<0.001
   Poor
138
41
47
47
 
   Moderate
144
43
190
64
 
   Well
53
16
NR
68
 
Surgical procedure
    
0.004
   Lobectomy + Wedge*
243
73
190
61
 
   Pneumonectomy
92
27
37
47
 
Pathological stage
    
<0.001
   I
157
47
190
71
 
   II
136
41
61
51
 
   IIIa
42
12
17
23
 
Tumor status
    
<0.001
   1
85
25
190
74
 
   2
188
56
84
57
 
   3
62
19
25
36
 
Nodal status
    
<0.001
   0
232
69
190
66
 
   1
76
23
35
43
 
   2
27
8
18
18
 
Surgical margins
    
0.29
   Free
307
92
190
58
 
   Not free
28
8
47
47
 
Vascular infiltration
    
<0.001
   No
284
85
190
58
 
   Yes
51
15
27
32
 
NR, not reached
* Wedge, n = 10
Abbreviations: SCC; squamous cell carcinoma; LCC, large-cell carcinoma; BAC, bronchioalveolar carcinoma

Interobserver variability

Interobserver scoring agreement was tested for miR-155. The scoring agreement was good (r = 0.91, P < 0.001).

Expression of miR-155 and Correlations

MiR-155 was expressed in the cytoplasm of most neoplastic tumor cells and to a lesser extent expressed in the cytoplasm of normal epithelial cells in lung tissue. Based on morphological criteria, inflammatory cells (macrophages, lymphocytes, granulocytes and plasma cells), pneumocytes and fibroblasts, normal as well as tumor associated, showed variable and in general reduced cytoplasmic expression compared to tumor cells.
There were no significant correlations between miR-155 expression and any of the clinicopathological variables in the total material or in histological subgroups. There was a tendency (P = 0.076) towards higher frequency of high miR-155 expression in SCCs (52.4%) than ACs (40.4%). From our large database with expression data on different ligands, receptors and downstream proteins related to angiogenesis, hypoxia, epithelial-mesenchymal transition (EMT) as well as immunologic markers [23, 2633], the strongest association was found between miR-155 and phosphatase and tensin homologue (PTEN). There was an inverse correlation between miR-155 and PTEN expression, r = - 0.23, P < 0.001 (Table 2).
Table 2
Crosstab showing the inverse correlation between miR-155 and phosphatase and tensin homologue (PTEN).
  
PTEN
Total
  
Low expression
High expression
 
miR-155
Low expression
119
40
159
 
High expression
144
13
157
Total
 
263
53
316
Spearman correlation, r = - 0.23, P < 0.001

Univariate Analysis

Survival analyses according to clinicophatological variables are shown Table 1. Performance status (P = 0.013), histology (P = 0.028), histological differentiation (P < 0.001), surgical procedure (P < 0.004), pathological stage (P < 0.001), T-stage (P < 0.001), N-stage (P < 0.001) and vascular infiltration (P < 0.001) were all significant prognostic indicators for DSS. DSS according to miR-155 expression is shown in Table 3 and Figure 2 and 3. In the total material (P = 0.43) and in the SCC subgroup (P = 0.88), miR-155 expression showed no significant prognostic impact. High miR-155 expression tended to a negative prognostic role in ACs (P = 0.086).
Table 3
Prognostic impact of miR-155 expression in the total material and histological and nodal status subgroups.
Characteristic
Pts (n)
Pts (%)
Median survival (months)
5-Year survival (%)
Uni-variate P
Multivariate P
Total (n = 335)
    
0.43
NS
   Low
162
48
190
59
  
   High
158
47
84
58
  
   Missing
15
5
    
SCC (n = 191)
     
NS
   Low
89
47
133
64
0.88
 
   High
98
51
120
68
  
   Missing
4
2
    
   SCC, N0
    
0.15
NS
Low
59
47
160
79
  
High
68
53
129
67
  
   SCC, N+
    
0.034
 
Low
30
50
49
32
  
High
30
50
95
68
 
HR 0.45, CI 95% 0.21-0.96, P = 0.039
AC (n = 95)
    
0.086
 
   Low
56
62
104
47
  
   High
38
37
71
33
 
HR 1.87, CI 95% 1.01-3.48, P = 0.047
   Missing
1
1
    
   AC, N0
    
0.37
NS
Low
38
60
117
53
  
High
25
40
93
47
  
   AC, N+
    
0.059
NS
Low
18
58
59
32
  
High
13
42
20
0
  
NS, not significant
In SCC patients with lymph node metastasis, high miR-155 expression appeared as a favorable prognostic factor (P = 0.034) while none of the clinicopathological variables were significant associated with DSS.

Multivariate Cox Proportional Hazards Analysis

In the overall material, performance status (P = 0.008), histology (P = 0.001), pathological T-stage (P > 0.001), N-stage (P < 0.001), histological differentiation (P = 0.02) and vascular infiltration (P = 0.002) appeared as independent prognostic factors.
Results of miR-155 expression in multivariate analysis are presented in Table 3. For SCCs patients, N-stage (P = 0.001), histological differentiation (P = 0.011) and vascular infiltration (P = 0.037) were independent prognostic factors. In the SCC subgroup with nodal metastasis, high miR-155 expression was an independent significant positive prognostic factor (HR 0.45, CI 95% 0.21-0.96, P = 0.039) while none of the clinicopathological variables had independent prognostic impact.
For ACs patients, N-stage (P = 0.001), performance status (P = 0.001), vascular infiltration (P = 0.012) and miR-155 expression (HR 1.87, CI 95% 1.01 - 3.48, P = 0.047) were independent prognostic factors.

Discussion

We present the first large-scale study combining high-throughput TMA and in situ hybridization to evaluate the prognostic impact of miR-155 expression. In this unselected population of surgically resected NSCLC patients, high miR-155 expression was an independent negative prognostic factor in ACs, while high miR-155 expression was an independent favorable prognosticator in SCC patients with regional nodal metastasis.
MiRNAs are well preserved in formalin-fixed tissue, making them attractive candidates for use in routinely processed material [34, 35]. Most of the previous studies on miRNA expression were done on microarrays using RNA extracted from human cancer tissues samples and containing a mixture of neoplastic tumor cells and tumor related stromal cells. A major advantage of in situ hybridization is to precisely identify positive signals at the cellular level. For instance, recent data have demonstrated that some miRNAs had high expression levels in stromal cells but not in tumor cells [36]. Using RNA extracts from whole tumors, this finding would easily be missed.
Strengthening the relevance of our miR-155 expression data, there was a significant inverse correlation with PTEN. This corroborates a study by Yamanaka et al. showing that reduced expression of miR-155 led to up-regulation of PTEN in NK lymphoma cell lines [37].
Several studies have shown miR-155 to be overexpressed in NSCLC [13, 14, 16]. But, to our knowledge, only three studies have investigated the prognostic impact of miR-155 in NSCLC, all using quantitative RT-PCR as the principal method [13, 16, 18]. Yanaihara et al. [16], also using the median value as cut-off, found high miR-155 expression to be an independent negative prognostic factor in 64 stage I adenocarcinomas, corroborating our results.
Recently, Voortman et al. studied the prognostic and predictive values of a panel of miRs by quantitative real-time PCR in formalin-fixed paraffin-embedded tumor specimens from 639 resected NSCLC patients participating in the International Adjuvant Lung Cancer Trial (IALT) [18]. In the total cohort they found, consistent with our results, miR-155 to have no significant prognostic impact. However, subgroup analysis on the prognostic impact with regard to nodal status and histology was not reported. Raponi and coworkers identified 15 miRNAs that were differently expressed between epithelial cells in normal lung and stage I-III SCC, among them miR-155 [13]. Analysis of 54 SCC patients (63% N0) showed that high miR-155 expression tended to have a significant effect on survival (P = 0.06), while it was an unfavorable independent variable in multivariate analysis (HR 2.3, CI 95% 1.0 - 5.6). We found the same tendency (P = 0.15) in our N0 patients. More surprisingly, we found the opposite association in our SCC lymph node positive patients. This may indicate that the oncogenic miR-155 effect may become inhibited or overridden by other mechanisms in SCC patient with nodal metastasis. Though, as the number of cases in this subanalysis is limited (n = 30 in each arm) the result has to be interpreted carefully. There is always a danger of false positive results when stratifying in multiple subgroups. However, we have only stratified for histological classification and nodal status which are considered to be the two most important clinicopathological variables in NSCLC treatment strategies.
As an independent prognostic factor, miR-155 may be a relevant addition to clinicopathological variables in predicting outcome in adenocarcinoma patients. As a prognosticator, however, miR-155 expression appears more interesting in SCCs with nodal metastasis, as none of the clinicopathological variables were significant prognosticators in this subgroup. In the clinic, valid prognostic marker in the subpopulation of N+ patients is warranted and miR-155 seems to be a potentially interesting candidate, though further prospective validation studies are needed to confirm these results. Potential microRNA-based therapy is now being exploited in cancer, attempting to modulate their expression, reintroducing microRNAs lost in cancer, or inhibiting oncogenic microRNAs by using anti-micro oligonucleotides [38]. In a novel approach to inhibit microRNA function, synthetic mRNAs, called microRNA sponges, are able to bind up the microRNA, preventing its association with endogenous targets [39]. MiR-155 has also been suggested as a possible target in future treatment strategies. Indeed, as miR-155 (together with let-7a, miR-21 and miR17-92 cluster) is aberrantly expressed in a wide variety of hematological and solid malignancies, it has been speculated that strategies to silence miR-155 may have impact on multiple groups of cancer patients [40]. But according to our results, the miR-155 effect is apparently context specific, and though it may be relevant for a diversity of malignancies, an "individualized" approach is needed.

Conclusion

MicroRNAs are well preserved in formalin-fixed tissue, making them ideal candidates for investigation in routinely processed material. Among the miRNAs, miR-155 is particularly interesting as it is consistently involved in several neoplastic diseases. By in situ hybridization we have been able to study cell specific expression of miR-155. Our results confirm that tumor cell miR-155 expression is a negative independent prognostic factor in adenocarcinomas. Further, we found high miR-155 expression to be a favorable independent prognostic factor in SCCs with lymph node metastasis. Further studies are needed to reveal the complexity of miR-155 function and, hopefully, the miR-155 status in various histological subtypes and stages of lung cancer may help to predict the toxicity and susceptibility to future RNA targeted therapies.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

TD participated in the design of the study, contributed to the clinical and demographic database, did the statistical analysis and drafted the manuscript. KE, TB and KL carried out and supervised the ISH. SWS and KE scored the cores. KAS, SAS, SA and HS contributed in the clinical and demographic database and KAS and SAS in making the TMAs. RB and LTB supervised and participated in the study design, result interpretation and in the writing.
All authors read and approved the final manuscript.
Anhänge

Authors’ original submitted files for images

Literatur
1.
Zurück zum Zitat Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ: Cancer statistics, 2009. CA Cancer J Clin. 2009, 59: 225-49. 10.3322/caac.20006.CrossRefPubMed Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ: Cancer statistics, 2009. CA Cancer J Clin. 2009, 59: 225-49. 10.3322/caac.20006.CrossRefPubMed
2.
Zurück zum Zitat Curran WJ: Treatment of locally advanced non-small cell lung cancer: what we have and have not learned over the past decade. Semin Oncol. 2005, 32: S2-S5. 10.1053/j.seminoncol.2005.03.002.CrossRefPubMed Curran WJ: Treatment of locally advanced non-small cell lung cancer: what we have and have not learned over the past decade. Semin Oncol. 2005, 32: S2-S5. 10.1053/j.seminoncol.2005.03.002.CrossRefPubMed
3.
4.
Zurück zum Zitat Peter ME: Targeting of mRNAs by multiple miRNAs: the next step. Oncogene. 2010, 29: 2161-4. 10.1038/onc.2010.59.CrossRefPubMed Peter ME: Targeting of mRNAs by multiple miRNAs: the next step. Oncogene. 2010, 29: 2161-4. 10.1038/onc.2010.59.CrossRefPubMed
5.
Zurück zum Zitat Esquela-Kerscher A, Slack FJ: Oncomirs - microRNAs with a role in cancer. Nat Rev Cancer. 2006, 6: 259-69. 10.1038/nrc1840.CrossRefPubMed Esquela-Kerscher A, Slack FJ: Oncomirs - microRNAs with a role in cancer. Nat Rev Cancer. 2006, 6: 259-69. 10.1038/nrc1840.CrossRefPubMed
6.
Zurück zum Zitat Faraoni I, Antonetti FR, Cardone J, Bonmassar E: miR-155 gene: a typical multifunctional microRNA. Biochim Biophys Acta. 2009, 1792: 497-505.CrossRefPubMed Faraoni I, Antonetti FR, Cardone J, Bonmassar E: miR-155 gene: a typical multifunctional microRNA. Biochim Biophys Acta. 2009, 1792: 497-505.CrossRefPubMed
7.
Zurück zum Zitat Iorio MV, Ferracin M, Liu CG: MicroRNA gene expression deregulation in human breast cancer. Cancer Res. 2005, 65: 7065-70. 10.1158/0008-5472.CAN-05-1783.CrossRefPubMed Iorio MV, Ferracin M, Liu CG: MicroRNA gene expression deregulation in human breast cancer. Cancer Res. 2005, 65: 7065-70. 10.1158/0008-5472.CAN-05-1783.CrossRefPubMed
8.
Zurück zum Zitat Kluiver J, Poppema S, de JD: BIC and miR-155 are highly expressed in Hodgkin, primary mediastinal and diffuse large B cell lymphomas. J Pathol. 2005, 207: 243-9. 10.1002/path.1825.CrossRefPubMed Kluiver J, Poppema S, de JD: BIC and miR-155 are highly expressed in Hodgkin, primary mediastinal and diffuse large B cell lymphomas. J Pathol. 2005, 207: 243-9. 10.1002/path.1825.CrossRefPubMed
9.
Zurück zum Zitat Lee EJ, Gusev Y, Jiang J: Expression profiling identifies microRNA signature in pancreatic cancer. Int J Cancer. 2007, 120: 1046-54. 10.1002/ijc.22394.PubMedCentralCrossRefPubMed Lee EJ, Gusev Y, Jiang J: Expression profiling identifies microRNA signature in pancreatic cancer. Int J Cancer. 2007, 120: 1046-54. 10.1002/ijc.22394.PubMedCentralCrossRefPubMed
10.
Zurück zum Zitat Marton S, Garcia MR, Robello C: Small RNAs analysis in CLL reveals a deregulation of miRNA expression and novel miRNA candidates of putative relevance in CLL pathogenesis. Leukemia. 2008, 22: 330-8. 10.1038/sj.leu.2405022.CrossRefPubMed Marton S, Garcia MR, Robello C: Small RNAs analysis in CLL reveals a deregulation of miRNA expression and novel miRNA candidates of putative relevance in CLL pathogenesis. Leukemia. 2008, 22: 330-8. 10.1038/sj.leu.2405022.CrossRefPubMed
11.
Zurück zum Zitat Nikiforova MN, Tseng GC, Steward D, Diorio D, Nikiforov YE: MicroRNA expression profiling of thyroid tumors: biological significance and diagnostic utility. J Clin Endocrinol Metab. 2008, 93: 1600-8. 10.1210/jc.2007-2696.PubMedCentralCrossRefPubMed Nikiforova MN, Tseng GC, Steward D, Diorio D, Nikiforov YE: MicroRNA expression profiling of thyroid tumors: biological significance and diagnostic utility. J Clin Endocrinol Metab. 2008, 93: 1600-8. 10.1210/jc.2007-2696.PubMedCentralCrossRefPubMed
12.
Zurück zum Zitat O'Connell RM, Rao DS, Chaudhuri AA: Sustained expression of microRNA-155 in hematopoietic stem cells causes a myeloproliferative disorder. J Exp Med. 2008, 205: 585-94.PubMedCentralCrossRefPubMed O'Connell RM, Rao DS, Chaudhuri AA: Sustained expression of microRNA-155 in hematopoietic stem cells causes a myeloproliferative disorder. J Exp Med. 2008, 205: 585-94.PubMedCentralCrossRefPubMed
13.
Zurück zum Zitat Raponi M, Dossey L, Jatkoe T: MicroRNA classifiers for predicting prognosis of squamous cell lung cancer. Cancer Res. 2009, 69: 5776-83. 10.1158/0008-5472.CAN-09-0587.CrossRefPubMed Raponi M, Dossey L, Jatkoe T: MicroRNA classifiers for predicting prognosis of squamous cell lung cancer. Cancer Res. 2009, 69: 5776-83. 10.1158/0008-5472.CAN-09-0587.CrossRefPubMed
14.
Zurück zum Zitat Volinia S, Calin GA, Liu CG: A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA. 2006, 103: 2257-61. 10.1073/pnas.0510565103.PubMedCentralCrossRefPubMed Volinia S, Calin GA, Liu CG: A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA. 2006, 103: 2257-61. 10.1073/pnas.0510565103.PubMedCentralCrossRefPubMed
15.
Zurück zum Zitat Wang X, Tang S, Le SY: Aberrant expression of oncogenic and tumor-suppressive microRNAs in cervical cancer is required for cancer cell growth. PLoS One. 2008, 3: e2557-10.1371/journal.pone.0002557.PubMedCentralCrossRefPubMed Wang X, Tang S, Le SY: Aberrant expression of oncogenic and tumor-suppressive microRNAs in cervical cancer is required for cancer cell growth. PLoS One. 2008, 3: e2557-10.1371/journal.pone.0002557.PubMedCentralCrossRefPubMed
16.
Zurück zum Zitat Yanaihara N, Caplen N, Bowman E: Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell. 2006, 9: 189-98. 10.1016/j.ccr.2006.01.025.CrossRefPubMed Yanaihara N, Caplen N, Bowman E: Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell. 2006, 9: 189-98. 10.1016/j.ccr.2006.01.025.CrossRefPubMed
17.
Zurück zum Zitat Dorsett Y, McBride KM, Jankovic M: MicroRNA-155 suppresses activation-induced cytidine deaminase-mediated Myc-Igh translocation. Immunity. 2008, 28: 630-8. 10.1016/j.immuni.2008.04.002.PubMedCentralCrossRefPubMed Dorsett Y, McBride KM, Jankovic M: MicroRNA-155 suppresses activation-induced cytidine deaminase-mediated Myc-Igh translocation. Immunity. 2008, 28: 630-8. 10.1016/j.immuni.2008.04.002.PubMedCentralCrossRefPubMed
18.
Zurück zum Zitat Voortman J, Goto A, Mendiboure J: MicroRNA expression and clinical outcomes in patients treated with adjuvant chemotherapy after complete resection of non-small cell lung carcinoma. Cancer Res. 2010, 70: 8288-98. 10.1158/0008-5472.CAN-10-1348.PubMedCentralCrossRefPubMed Voortman J, Goto A, Mendiboure J: MicroRNA expression and clinical outcomes in patients treated with adjuvant chemotherapy after complete resection of non-small cell lung carcinoma. Cancer Res. 2010, 70: 8288-98. 10.1158/0008-5472.CAN-10-1348.PubMedCentralCrossRefPubMed
19.
Zurück zum Zitat Goldstraw P: The 7th Edition of TNM in Lung Cancer: what now?. J Thorac Oncol. 2009, 4: 671-3. 10.1097/JTO.0b013e31819e7814.CrossRefPubMed Goldstraw P: The 7th Edition of TNM in Lung Cancer: what now?. J Thorac Oncol. 2009, 4: 671-3. 10.1097/JTO.0b013e31819e7814.CrossRefPubMed
20.
Zurück zum Zitat Sandler A, Gray R, Perry MC: Paclitaxel-carboplatin alone or with bevacizumab for non-small-cell lung cancer. N Engl J Med. 2006, 355: 2542-50. 10.1056/NEJMoa061884.CrossRefPubMed Sandler A, Gray R, Perry MC: Paclitaxel-carboplatin alone or with bevacizumab for non-small-cell lung cancer. N Engl J Med. 2006, 355: 2542-50. 10.1056/NEJMoa061884.CrossRefPubMed
21.
Zurück zum Zitat Besse B, Ropert S, Soria JC: Targeted therapies in lung cancer. Ann Oncol. 2007, 18 (Suppl 9): ix135-ix142. 10.1093/annonc/mdm308.PubMed Besse B, Ropert S, Soria JC: Targeted therapies in lung cancer. Ann Oncol. 2007, 18 (Suppl 9): ix135-ix142. 10.1093/annonc/mdm308.PubMed
22.
Zurück zum Zitat Scagliotti G, Hanna N, Fossella F: The differential efficacy of pemetrexed according to NSCLC histology: a review of two Phase III studies. Oncologist. 2009, 14: 253-63. 10.1634/theoncologist.2008-0232.CrossRefPubMed Scagliotti G, Hanna N, Fossella F: The differential efficacy of pemetrexed according to NSCLC histology: a review of two Phase III studies. Oncologist. 2009, 14: 253-63. 10.1634/theoncologist.2008-0232.CrossRefPubMed
23.
Zurück zum Zitat Donnem T, Al-Saad S, Al-Shibli K: Inverse prognostic impact of angiogenic marker expression in tumor cells versus stromal cells in non small cell lung cancer. Clin Cancer Res. 2007, 13: 6649-57. 10.1158/1078-0432.CCR-07-0414.CrossRefPubMed Donnem T, Al-Saad S, Al-Shibli K: Inverse prognostic impact of angiogenic marker expression in tumor cells versus stromal cells in non small cell lung cancer. Clin Cancer Res. 2007, 13: 6649-57. 10.1158/1078-0432.CCR-07-0414.CrossRefPubMed
24.
Zurück zum Zitat World Health Organization: Histological Typing of Lung and Pleural Tumours. 1999, Geneva, Switzerland: Springer-Verlag, 3 World Health Organization: Histological Typing of Lung and Pleural Tumours. 1999, Geneva, Switzerland: Springer-Verlag, 3
25.
Zurück zum Zitat Nuovo GJ, Elton TS, Nana-Sinkam P, Volinia S, Croce CM, Schmittgen TD: A methodology for the combined in situ analyses of the precursor and mature forms of microRNAs and correlation with their putative targets. Nat Protoc. 2009, 4: 107-15. 10.1038/nprot.2008.215.PubMedCentralCrossRefPubMed Nuovo GJ, Elton TS, Nana-Sinkam P, Volinia S, Croce CM, Schmittgen TD: A methodology for the combined in situ analyses of the precursor and mature forms of microRNAs and correlation with their putative targets. Nat Protoc. 2009, 4: 107-15. 10.1038/nprot.2008.215.PubMedCentralCrossRefPubMed
26.
Zurück zum Zitat Al-Saad S, Al-Shibli K, Donnem T, Persson M, Bremnes RM, Busund LT: The prognostic impact of NF-kappaB p105, vimentin, E-cadherin and Par6 expression in epithelial and stromal compartment in non-small-cell lung cancer. Br J Cancer. 2008, 99: 1476-83. 10.1038/sj.bjc.6604713.PubMedCentralCrossRefPubMed Al-Saad S, Al-Shibli K, Donnem T, Persson M, Bremnes RM, Busund LT: The prognostic impact of NF-kappaB p105, vimentin, E-cadherin and Par6 expression in epithelial and stromal compartment in non-small-cell lung cancer. Br J Cancer. 2008, 99: 1476-83. 10.1038/sj.bjc.6604713.PubMedCentralCrossRefPubMed
27.
Zurück zum Zitat Al-Saad S, Donnem T, Al-Shibli K, Persson M, Bremnes RM, Busund LT: Diverse prognostic roles of Akt isoforms, PTEN and PI3K in tumor epithelial cells and stromal compartment in non-small cell lung cancer. Anticancer Res. 2009, 29: 4175-83.PubMed Al-Saad S, Donnem T, Al-Shibli K, Persson M, Bremnes RM, Busund LT: Diverse prognostic roles of Akt isoforms, PTEN and PI3K in tumor epithelial cells and stromal compartment in non-small cell lung cancer. Anticancer Res. 2009, 29: 4175-83.PubMed
28.
Zurück zum Zitat Al-Saad S, Al-Shibli K, Donnem T, Andersen S, Bremnes RM, Busund LT: Clinical significance of epidermal growth factor receptors in non-small cell lung cancer and a prognostic role for HER2 gene copy number in female patients. J Thorac Oncol. 2010, 5: 1536-43. 10.1097/JTO.0b013e3181ea510a.CrossRefPubMed Al-Saad S, Al-Shibli K, Donnem T, Andersen S, Bremnes RM, Busund LT: Clinical significance of epidermal growth factor receptors in non-small cell lung cancer and a prognostic role for HER2 gene copy number in female patients. J Thorac Oncol. 2010, 5: 1536-43. 10.1097/JTO.0b013e3181ea510a.CrossRefPubMed
29.
Zurück zum Zitat Al-Shibli KI, Donnem T, Al-Saad S, Persson M, Bremnes RM, Busund LT: Prognostic effect of epithelial and stromal lymphocyte infiltration in non-small cell lung cancer. Clin Cancer Res. 2008, 14: 5220-7. 10.1158/1078-0432.CCR-08-0133.CrossRefPubMed Al-Shibli KI, Donnem T, Al-Saad S, Persson M, Bremnes RM, Busund LT: Prognostic effect of epithelial and stromal lymphocyte infiltration in non-small cell lung cancer. Clin Cancer Res. 2008, 14: 5220-7. 10.1158/1078-0432.CCR-08-0133.CrossRefPubMed
30.
Zurück zum Zitat Andersen S, Eilertsen M, Donnem T: Diverging prognostic impacts of hypoxic markers according to NSCLC histology. Lung Cancer. 2010, Andersen S, Eilertsen M, Donnem T: Diverging prognostic impacts of hypoxic markers according to NSCLC histology. Lung Cancer. 2010,
31.
Zurück zum Zitat Donnem T, Al-Saad S, Al-Shibli K, Andersen S, Busund LT, Bremnes RM: Prognostic impact of platelet-derived growth factors in non-small cell lung cancer tumor and stromal cells. J Thorac Oncol. 2008, 3: 963-70. 10.1097/JTO.0b013e3181834f52.CrossRefPubMed Donnem T, Al-Saad S, Al-Shibli K, Andersen S, Busund LT, Bremnes RM: Prognostic impact of platelet-derived growth factors in non-small cell lung cancer tumor and stromal cells. J Thorac Oncol. 2008, 3: 963-70. 10.1097/JTO.0b013e3181834f52.CrossRefPubMed
32.
Zurück zum Zitat Donnem T, Al-Shibli K, Al-Saad S, Busund LT, Bremnes RM: Prognostic impact of fibroblast growth factor 2 in non-small cell lung cancer: coexpression with VEGFR-3 and PDGF-B predicts poor survival. J Thorac Oncol. 2009, 4: 578-85. 10.1097/JTO.0b013e31819f2e38.CrossRefPubMed Donnem T, Al-Shibli K, Al-Saad S, Busund LT, Bremnes RM: Prognostic impact of fibroblast growth factor 2 in non-small cell lung cancer: coexpression with VEGFR-3 and PDGF-B predicts poor survival. J Thorac Oncol. 2009, 4: 578-85. 10.1097/JTO.0b013e31819f2e38.CrossRefPubMed
33.
Zurück zum Zitat Donnem T, Andersen S, Al-Shibli K, Al-Saad S, Busund LT, Bremnes RM: Prognostic impact of Notch ligands and receptors in nonsmall cell lung cancer: coexpression of Notch-1 and vascular endothelial growth factor-A predicts poor survival. Cancer. 2010, 116: 5676-85. 10.1002/cncr.25551.CrossRefPubMed Donnem T, Andersen S, Al-Shibli K, Al-Saad S, Busund LT, Bremnes RM: Prognostic impact of Notch ligands and receptors in nonsmall cell lung cancer: coexpression of Notch-1 and vascular endothelial growth factor-A predicts poor survival. Cancer. 2010, 116: 5676-85. 10.1002/cncr.25551.CrossRefPubMed
34.
Zurück zum Zitat Li J, Smyth P, Flavin R: Comparison of miRNA expression patterns using total RNA extracted from matched samples of formalin-fixed paraffin-embedded (FFPE) cells and snap frozen cells. BMC Biotechnol. 2007, 7: 36-10.1186/1472-6750-7-36.PubMedCentralCrossRefPubMed Li J, Smyth P, Flavin R: Comparison of miRNA expression patterns using total RNA extracted from matched samples of formalin-fixed paraffin-embedded (FFPE) cells and snap frozen cells. BMC Biotechnol. 2007, 7: 36-10.1186/1472-6750-7-36.PubMedCentralCrossRefPubMed
35.
Zurück zum Zitat Xi Y, Nakajima G, Gavin E: Systematic analysis of microRNA expression of RNA extracted from fresh frozen and formalin-fixed paraffin-embedded samples. RNA. 2007, 13: 1668-74. 10.1261/rna.642907.PubMedCentralCrossRefPubMed Xi Y, Nakajima G, Gavin E: Systematic analysis of microRNA expression of RNA extracted from fresh frozen and formalin-fixed paraffin-embedded samples. RNA. 2007, 13: 1668-74. 10.1261/rna.642907.PubMedCentralCrossRefPubMed
36.
Zurück zum Zitat Hu Y, Correa AM, Hoque A: Prognostic significance of differentially expressed miRNAs in esophageal cancer. Int J Cancer. 2011, 128: 132-43. 10.1002/ijc.25330.PubMedCentralCrossRefPubMed Hu Y, Correa AM, Hoque A: Prognostic significance of differentially expressed miRNAs in esophageal cancer. Int J Cancer. 2011, 128: 132-43. 10.1002/ijc.25330.PubMedCentralCrossRefPubMed
37.
Zurück zum Zitat Yamanaka Y, Tagawa H, Takahashi N: Aberrant overexpression of microRNAs activate AKT signaling via down-regulation of tumor suppressors in natural killer-cell lymphoma/leukemia. Blood. 2009, 114: 3265-75. 10.1182/blood-2009-06-222794.CrossRefPubMed Yamanaka Y, Tagawa H, Takahashi N: Aberrant overexpression of microRNAs activate AKT signaling via down-regulation of tumor suppressors in natural killer-cell lymphoma/leukemia. Blood. 2009, 114: 3265-75. 10.1182/blood-2009-06-222794.CrossRefPubMed
38.
39.
Zurück zum Zitat Ebert MS, Neilson JR, Sharp PA: MicroRNA sponges: competitive inhibitors of small RNAs in mammalian cells. Nat Methods. 2007, 4: 721-6. 10.1038/nmeth1079.CrossRefPubMed Ebert MS, Neilson JR, Sharp PA: MicroRNA sponges: competitive inhibitors of small RNAs in mammalian cells. Nat Methods. 2007, 4: 721-6. 10.1038/nmeth1079.CrossRefPubMed
40.
Zurück zum Zitat Garzon R, Calin GA, Croce CM: MicroRNAs in Cancer. Annu Rev Med. 2009, 60: 167-79. 10.1146/annurev.med.59.053006.104707.CrossRefPubMed Garzon R, Calin GA, Croce CM: MicroRNAs in Cancer. Annu Rev Med. 2009, 60: 167-79. 10.1146/annurev.med.59.053006.104707.CrossRefPubMed
Metadaten
Titel
Prognostic Impact of MiR-155 in Non-Small Cell Lung Cancer Evaluated by in Situ Hybridization
verfasst von
Tom Donnem
Katrine Eklo
Thomas Berg
Sveinung W Sorbye
Kenneth Lonvik
Samer Al-Saad
Khalid Al-Shibli
Sigve Andersen
Helge Stenvold
Roy M Bremnes
Lill-Tove Busund
Publikationsdatum
01.12.2011
Verlag
BioMed Central
Erschienen in
Journal of Translational Medicine / Ausgabe 1/2011
Elektronische ISSN: 1479-5876
DOI
https://doi.org/10.1186/1479-5876-9-6

Weitere Artikel der Ausgabe 1/2011

Journal of Translational Medicine 1/2011 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.