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Oncotarget

Research Papers:

Differential microRNA expression profiling in primary tumors and matched liver metastasis of patients with colorectal cancer

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Oncotarget. 2017; 8:35783-35791. https://doi.org/10.18632/oncotarget.16206

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Wenhua Li, Jinjia Chang, Duo Tong, Junjie Peng, Dan Huang, Weijian Guo, Wen Zhang and Jin Li _

Abstract

Wenhua Li1,2,*, Jinjia Chang1,2,*, Duo Tong1,2, Junjie Peng2,3, Dan Huang2,4, Weijian Guo1,2, Wen Zhang1,2, Jin Li1,2,5

1Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China

2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China

3Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China

4Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China

5East Hospital, Tongji University School of Medicine, Shanghai, China

*These authors contributed equally to this work

Correspondence to:

Jin Li, email: [email protected]

Keywords: colorectal carcinoma, microRNA, liver metastasis

Received: November 15, 2016     Accepted: February 28, 2017     Published: March 15, 2017

ABSTRACT

Background: Liver metastasis is common in patients with colorectal cancer (CRC), and is correlated with poor outcome. MicroRNAs (miRNAs) are small non-coding RNAs involved in cancer development and progression, but their role in CRC liver metastasis has not been extensively investigated.

Results: Thirteen miRNAs were deregulated in pCRCs compared to their matched liver metastases. Seventeen miRNAs were chosen for validation, which confirmed significantly reduced expression of miR-99b-5p, miR-377 and miR-200c and increased expression of miR-196b-5p in the tissue of liver metastasis. Furthermore, miR-200c and miR-196b-5p were positively correlated with shorter overall survival in pCRC patients with liver metastasis.

Materials and Methods: Firstly, affymetrix microarrays involving 1036 miRNAs were performed in two pairs of primary CRCs (pCRCs) and their matched liver metastases. Secondly, validation of the results was carried out on an independent cohort of 48 pairs of pCRCs and matched liver metastases using quantitative real-time polymerase chain reaction assay.

Conclusions: We discovered a pCRC liver metastasis-specific miRNA panel including miR-377, miR-99b-5p, miR-200c and miR-196b-5p through intensive validation. These miRNAs may function as prognostic factors in patients with metastatic CRC.


INTRODUCTION

Colorectal cancer (CRC) ranks as the third most prevalent cancer and the third leading cause of cancer mortality worldwide [1]. Liver is the most common site of metastasis. Even after resection of liver metastases, more than half the patients will not be cured due to relapse of liver metastases and emergence of other distant metastases [2, 3]. Therefore, it is critical to develop metastasis-specific molecular biomarkers for patients’ outcome prediction and treatment options.

MicroRNAs (miRNAs) are a class of endogenous, small (17–25 nucleotides), noncoding, single-stranded, evolutionarily conserved RNA molecules that regulate target gene expression by interfering with their transcription or by inhibiting translation. MiRNAs are known to be involved in the process of tumor cell growth, invasion and metastasis of CRC by regulating the expression of down-stream target genes [47]. Several studies reported that certain miRNAs were associated with CRC liver metastasis [4, 810]. For example, miR-181a and miR-200c promote liver metastases by inducing epithelial-mesenchymal transition in CRC [9, 10]. MiR-192 inhibits liver metastases by down-regulating the expression B-cell lymphoma 2, vascular endothelial growth factor A, and zinc finger E-box-binding homeobox 2 [4].

In our previous study, we found that miR-99b-5p was significantly more expressed in primary tumor than in matched liver metastasis. In vitro, miR-99b-5p was demonstrated to inhibit expression of mechanistic target of rapamycin (mTOR) by directly targeting its 3’ UTR. Moreover, miR-99b-5p was associated with a survival benefit in CRC patients with liver metastasis, suggesting that miR-99b-5p may serve as a predictive factor for metastasis and prognosis of CRC patients [8].

Herein, we report our metastasis-specific miRNA biomarker discovery approach which outlines the extensive miRNA difference between the primary tumor and paired liver metastasis specimens and validates newfound miRNA biomarkers in other independent cohorts of specimens. We also evaluated the correlation of the differential miRNAs expression profile with clinicopathological features and patient prognosis.

RESULTS

Differential miRNAs expression profile in primary tumros and matched liver metastasis tissues

We firstly performed miRNA microarray analysis in two pairs of matched pCRC and liver metastasis frozen specimens. The basic clinicopathological characteristics of these two patients were well matched. We identified 13 microRNAs whose expression levels differed between pCRC and liver metastasis tissues with a fold-change of > 1.5. Among these miRNAs, seven (miR-513a-5p, miR-181a-5p, miR-182-5p, miR-613, miR-152, miR-644a and miR-550a-5p) were up-regulated and six (miR-192-5p, miR-506-3p, miR-99b-5p, miR-29a-3p, miR-27b-3p and miR-934) were down-regulated in liver metastasis tissues compared with pCRC tissues.

For the validation step, qRT-PCR assay was performed in 48 isolated pairs of pCRC and liver metastasis tissues; the clinicopathological characteristics of these 48 patients are shown in Table 1. To extend the study, we added another four microRNAs (miR-196b-5p, miR-377, miR-200c and miR-10a-5p) with fold change between 1.3 and 1.5. As a result, four miRNAs (miR-99b-5p, miR-377, miR-200c and miR-196b-5p) were found to have significant differential expression between pCRC and liver metastasis tissues. MiR-99b-5p, miR-377 and miR-200c were down-regulated, while miR-196b-5p was up-regulated in liver metastasis tissues compared to pCRC (see Table 2, Figure 1 Supplementary Figure 1).

Table 1: The clinicopathological characteristics of 48 colorectal cancer patients with liver metastases

Characteristics

No.

Percent

Gender

 Male

29

60.4

 Female

19

39.6

Age, years

Median (SD)

52 (28–74)

 < 60

34

70.8

 ≥ 60

14

29.2

Primary tumor site

 Rectum

17

35.4

 Colon

31

64.6

 pT

 2+3

9

18.7

 4

39

81.3

pN

 0

12

25.0

 1

21

43.8

 2

15

31.2

Vascular invasion

 Negative

27

62.8

 Positive

16

37.2

 NK

5

Perineural invasion

 Negative

27

62.8

 Positive

16

37.2

 NK

5

Differentiation

 Poor/poor-moderate

12

25.0

 moderate/moderate-high

36

75.0

Time of occurrence of liver metastasis

 Synchronous

43

89.6

 Metachronous

5

10.4

Combined with other metastases

 No

41

85.4

 Yes

7

14.6

Abbreviations: NK, not known; NR, not reached; SD, standard deviation.

Table 2: Expression level of miRNAs in the primary tumor and matched liver metastases of 48 colorectal cancer patients with liver metastases

miRNA

Tumor status

Median

SEM

Foldchange (primary/ metastasis)

p value

miR-513a-5p

Primary

28.9670

7.87524

0.54

0.113

Metastasis

53.6298

15.04555

miR-181a-5p

Primary

2.2210

1.11954

0.51

0.188

Metastasis

4.3494

0.99962

miR-182-5p

Primary

19.8616

4.40714

1.48

0.253

Metastasis

13.3865

4.96276

miR-613

Primary

64.2181

41.80958

1.20

0.877

Metastasis

53.7233

52.13662

miR-152

Primary

31.6605

18.05150

9.32

0.114

Metastasis

3.3972

0.93292

miR-644a

Primary

18.0385

9.14903

0.26

0.313

Metastasis

69.2121

54.83062

miR--550a-5p

Primary

179.4224

87.74360

0.51

0.291

Metastasis

354.2439

219.88422

miR-196b-5p

Primary

8.8372

4.05013

0.18

0.046*

Metastasis

49.5967

20.74880

miR-10a-5p

Primary

5.4569

2.19123

0.16

0.062

Metastasis

33.9821

16.66163

miR-192-5p

Primary

4304.9628

1690.66343

4.77

0.051

Metastasis

903.1332

275.60286

miR-506-3p

Primary

11.2938

5.02323

1.07

0.908

Metastasis

10.5453

6.00231

miR-99b-5p

Primary

8.8244

2.75573

6.77

0.007*

Metastasis

1.3043

0.29901

miR-29a-3p-

Primary

1.3543

0.90819

4.44

0.169

Metastasis

0.3049

0.18774

miR-27b-3p

Primary

2.6432

0.61204

0.07

0.170

Metastasis

39.7780

26.64356

miR-377

Primary

92.8067

40.17213

433.47

0.026*

Metastasis

0.2141

0.13345

miR-200c

Primary

13.4106

3.51479

3.77

0.009*

Metastasis

3.5561

0.95874

miR-934

Primary

15.6664

11.61170

1.78

0.515

Metastasis

8.8113

2.47346

Abbreviations: miRNA, microRNA; SEM, standard error of the mean. *p ≤ 0.05.

Unsupervised hierarchical cluster analysis of the 528 differentially expressed miRNAs.

Figure 1: Unsupervised hierarchical cluster analysis of the 528 differentially expressed miRNAs. Glue Grant Human Transcriptome Array (Affymetrix, Santa Clara, CA, USA) screened the differential expression of miRNA between primary tumor and liver metastases in two pairs of fresh tissue. Green and red represent the down-regulated and up-regulated miRNAs, respectively. LM, liver metastasis; miRNA, microRNA; pCRC, primary CRC; Pt, patient.

MiR-377 and miR-99b-5p expression levels serve as invasive biomarkers in pCRC patients with liver metastasis

To explore the clinical significance of these liver metastasis-specific miRNAs, we further validated the correlation between microRNAs and clinicopathological characteristics. Three up-regulated miRNAs (miR-99b-5p, miR-377 and miR-200c) and one down-regulated miRNA (miR-196b-5p) in pCRC compared to liver metastasis tissues were analyzed. As shown in Table 3, increased miR-377 expression level was associated with advanced lymph node stage (p = 0.043). Likewise, decreased miR-99b-5p expression was positively correlated with perineural invasion in pCRC (p = 0.043).

Table 3: Relationship between the expression level of miRNAs in the primary tumor and clinicopathologic parameters in 48 colorectal cancer patients with liver metastases

Abbreviations: NK, not known; SD, standard deviation; SEM, standard error of the mean.

MiR-200c and miR-196-5p expression levels serve as prognostic biomarkers in pCRC patients with liver metastasis

We tested the association between miRNA expression and overall survival by performing survival analysis. As shown in Figure 2 and Table 4, patients with elevated expression levels of miR-200c in pCRC and miR-196b-5p in liver metastases had significantly longer survival by Kaplan-Meier analysis (p = 0.048 and p = 0.02, respectively). Notably, higher expression of miR-99b-5p in pCRC also showed a better trend of survival, although statistical significance was not reached (p = 0.052).

Kaplan-Meier survival curves of CRC patients subdivided by miRNAs levels in pCRC and LM tissues from CRC patients.

Figure 2: Kaplan-Meier survival curves of CRC patients subdivided by miRNAs levels in pCRC and LM tissues from CRC patients. Overall survival analysis based on miR-377, miR-200c, miR-99b-5p and miR-196b-5p in pCRC or LM tissues are shown. The p value was determined by log-rank test. LM, liver metastasis; miRNA, microRNA; pCRC, primary CRC.

Table 4: Relationship between the expression level of miRNAs and overall survival in 48 colorectal cancer patients with liver metastases

Abbreviations: CI: confidence interval; miRNA, microRNA; NR: not reached; OS, overall survival; SEM, standard error of the mean. *p ≤ 0.05.

DISCUSSION

Patients with liver metastasis in CRC were with a poor prognosis and early recurrence. Previous researches in the fields of molecular and genetic studies have contributed to our understanding of CRC liver metastasis in the cellular level [11, 12]. However, heterogeneity of research methods as well as tumor tissue acquisition limited the diagnostic and prognostic role of specific genes in metastases.

Recent findings have highlighted the role of miRNAs in the tumorigenesis of CRC cells acting as oncogenes or tumor suppressor genes [13, 14]. Similar studies have been performed to gain better insight into genomic changes involved in pCRC initiation and progression [15]. However, there are few studies of miRNA expression accounting for distant metastasis of pCRC. In this study, we aim to identify a differential microRNA expression profile in pCRC and their matched liver metastasis.

In this study, expression profiling of 1036 miRNAs based on an RNA array platform in clinical samples of pCRC tissues with matched liver metastasis tissues was carried out to identify advanced CRC signatures and to use miRNA expression profiles to classifying CRC with liver metastasis. The confirmation of the array data was done by using qRT-PCR. The results, by microarray analysis in two paired colorectal cancers, showed 17 miRNAs were dysregulated in liver metastasis tissues compared with pCRC tissues. These differentially expressed miRNAs were further validated by qRT-PCR in 48 isolated pairs of pCRC and liver metastasis tissues, and four miRNAs (miR-99b-5p, miR-377, miR-200c and miR-196b-5p) were found to have significant differential expression between pCRC tissues and liver metastasis tissues. While examining the potential clinical impact of these four liver metastasis-specific miRNAs, we noticed that up-regulation of miR-200c in pCRC tissues and miR-196b-5p in liver metastasis tissues were associated with significantly longer survival by Kaplan-Meier analysis (p = 0.048 and p = 0.02, respectively).

We previously demonstrated that miR-99b-5p is a tumor suppressing miRNA in metastatic CRC, and that its suppressive effects are mediated chiefly by suppressing mTOR expression [8]. MiR-196b was reported to be highly expressed in CRC tissues and was correlated with rapid progression and poor prognosis [16, 17]. MiR-196b was also a predictive factor in palliative chemotherapy and neoadjuvant radiochemotherapy [18, 19]. Similar to our findings, high expression of miR-200c was observed in liver metastasis [10] and its expression in serum was reported to be a prognostic factor in patients with CRC [20]. It has been found that miR-200c could mediate epithelial-mesenchymal transition in liver metastases by regulating the TGF-TGFegu signal pathway [21, 22]. MiR-377 was a novel biomarker for poor prognosis in gastrointestinal cancer, which induced tumorigenesis by targeting multiple tumor-suppressor genes [23].

Our study is distinct from previous studies in several aspects. First, we directly compared pCRC and matching liver metastasis tissues from the same patients, which avoid heterogeneity due to distinct miRNA from different patients. Second, to improve the predictive value of the miRNA markers, we developed a miRNA-based classifier panel rather than just suggesting each miRNA as a predictor.

In conclusion, four miRNAs (miR-99b-5p, miR-377, miR-200c and miR-196b-5p) were found to be differently expressed between primary tumors of patients with CRC and their matched liver metastases. Moreover, we nominate the candidate microRNAs, miR-200 and miR-196b-5p as potential prognostic markers. Our study suggested that these miRNAs could hopefully serve as metastasis-specific miRNA biomarkers for the management of patients with CRC.

MATERIALS AND METHODS

Patient samples

The fresh-frozen/formalin-fixed, paraffin-embedded primary CRC and matched corresponding liver metastatic tissues were collected from 2004 to 2012 in the Department of Colorectal Cancer, Fudan University Shanghai Cancer Center. The tissue bank of the hospital stored the specimens. The study was approved by the Ethics Committee of Fudan University Shanghai Cancer Center and written informed consent was obtained from all patients.

RNA extraction and miRNA array hybridization

Total RNAs from two CRC patients with liver metastasis were analyzed by microarray. Total RNA was isolated using Trizol (Invitrogen, Carlsbad, CA, USA). RNA was labeled and hybridized to Glue Grant Human Transcriptome Array (Affymetrix, Santa Clara, CA, USA) [2426] according to manufacturer’s instructions. Command Console® Software version 3.1 was used for microarray analysis. A total of 1036 miRNAs were covered using miRBase version 18.0.

Quantitative real-time polymerase chain reaction

miR-513a-5p, miR-181a-5p, miR-182-5p, miR-613, miR-152, miR-644a, miR-550a-5p, miR-192-5p, miR-506-3p, miR-99b-5p, miR-29a-3p, miR-27b-3p, miR-934, miR-196b-5p, miR-200c, miR-377, miR-10a-5p and RNU6B (internal control) specific cDNA syntheses were carried out using the miScript Reverse Transcription Kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocols. The expression level of miRNAs above was measured using TaqMan miRNA assays (Applied Biosystems, Carlsbad, CA, USA). U6 was used as an endogenous control and the fold change was calculated using the 2-ΔΔCt method.

Statistical analysis

The data were analyzed with SPSS version 18.0. The student t-test and one factor analysis of variance were used for analysis as appropriate. Kaplan-Meier method and log-rank test were used to estimate the survival. P < 0.05 was considered statistically significant.

Abbreviations

CRC, colorectal cancer; miRNA, microRNA; mTOR, mechanistic target of rapamycin; pCRC, primary colorectal cancer; qRT-PCR, quantitative real-time polymerase chain reaction.

ACKNOWLEDGMENTS

We thank Dr. Menghong Sun (Chief of the Tissue Bank of Fudan University Shanghai Cancer Center) for tumor tissues acquisition and Mary Smith (Ph.D) for language editing.

CONFLICTS OF INTEREST

The authors declare that they have no competing interests.

REFERENCES

1. Siegel R, Ma J, Zou Z, Jemal A. Cancer statistics, 2014. CA Cancer J Clin. 2014; 64:9–29. doi: 10.3322/caac.21208.

2. Adam R, Haller DG, Poston G, Raoul JL, Spano JP, Tabernero J, Van Cutsem E. Toward optimized front-line therapeutic strategies in patients with metastatic colorectal cancer--an expert review from the International Congress on Anti-Cancer Treatment (ICACT) 2009. Ann Oncol. 2010; 21:1579–84. doi: 10.1093/annonc/mdq043.

3. Adam R, De Gramont A, Figueras J, Guthrie A, Kokudo N, Kunstlinger F, Loyer E, Poston G, Rougier P, Rubbia-Brandt L, Sobrero A, Tabernero J, Teh C, et al. The oncosurgery approach to managing liver metastases from colorectal cancer: a multidisciplinary international consensus. Oncologist. 2012; 17:1225–39. doi: 10.1634/theoncologist.2012-0121.

4. Geng L, Chaudhuri A, Talmon G, Wisecarver JL, Are C, Brattain M, Wang J. MicroRNA-192 suppresses liver metastasis of colon cancer. Oncogene. 2014; 33:5332–40. doi: 10.1038/onc.2013.478.

5. Ma Y, Zhang P, Wang F, Zhang H, Yang Y, Shi C, Xia Y, Peng J, Liu W, Yang Z, Qin H. Elevated oncofoetal miR-17-5p expression regulates colorectal cancer progression by repressing its target gene P130. Nat Commun. 2012; 3: 1291. doi: 10.1038/ncomms2276.

6. Yuan K, Xie K, Fox J, Zeng H, Gao H, Huang C, Wu M. Decreased levels of miR-224 and the passenger strand of miR-221 increase MBD2, suppressing maspin and promoting colorectal tumor growth and metastasis in mice. Gastroenterology. 2013; 145:853–64 e9. doi: 10.1053/j.gastro.2013.06.008.

7. Zhang L, Pickard K, Jenei V, Bullock MD, Bruce A, Mitter R, Kelly G, Paraskeva C, Strefford J, Primrose J, Thomas GJ, Packham G, Mirnezami AH. miR-153 supports colorectal cancer progression via pleiotropic effects that enhance invasion and chemotherapeutic resistance. Cancer Res. 2013; 73:6435–47. doi: 10.1158/0008-5472.CAN-12-3308.

8. Li W, Chang J, Wang S, Liu X, Peng J, Huang D, Sun M, Chen Z, Zhang W, Guo W, Li J. miRNA-99b-5p suppresses liver metastasis of colorectal cancer by down-regulating mTOR. Oncotarget. 2015; 6:24448–62. doi: 10.18632/oncotarget.4423.

9. Ji D, Chen Z, Li M, Zhan T, Yao Y, Zhang Z, Xi J, Yan L, Gu J. MicroRNA-181a promotes tumor growth and liver metastasis in colorectal cancer by targeting the tumor suppressor WIF-1. Mol Cancer. 2014; 13: 86. doi: 10.1186/1476-4598-13-86.

10. Hur K, Toiyama Y, Takahashi M, Balaguer F, Nagasaka T, Koike J, Hemmi H, Koi M, Boland CR, Goel A. MicroRNA-200c modulates epithelial-to-mesenchymal transition (EMT) in human colorectal cancer metastasis. Gut. 2013; 62:1315–26. doi: 10.1136/gutjnl-2011-301846.

11. Shanghai Municipal Center for Disease Control and Prevention. Shanghai Cancer Report 2007 Shanghai: SCDC, 2007.

12. Simmonds PC, Primrose JN, Colquitt JL, Garden OJ, Poston GJ, Rees M. Surgical resection of hepatic metastases from colorectal cancer: a systematic review of published studies. Br J Cancer. 2006; 94:982–99. doi: 10.1038/sj.bjc.6603033.

13. Asangani IA, Rasheed SA, Nikolova DA, Leupold JH, Colburn NH, Post S, Allgayer H. MicroRNA-21 (miR-21) post-transcriptionally downregulates tumor suppressor Pdcd4 and stimulates invasion, intravasation and metastasis in colorectal cancer. Oncogene. 2008; 27:2128–36. doi: 10.1038/sj.onc.1210856.

14. Valeri N, Croce CM, Fabbri M. Pathogenetic and clinical relevance of microRNAs in colorectal cancer. Cancer Genomics Proteomics. 2009; 6:195–204. doi:

15. Kanaan Z, Rai SN, Eichenberger MR, Barnes C, Dworkin AM, Weller C, Cohen E, Roberts H, Keskey B, Petras RE, Crawford NP, Galandiuk S. Differential microRNA expression tracks neoplastic progression in inflammatory bowel disease-associated colorectal cancer. Hum Mutat. 2012; 33:551–60. doi: 10.1002/humu.22021.

16. Wang YX, Zhang XY, Zhang BF, Yang CQ, Chen XM, Gao HJ. Initial study of microRNA expression profiles of colonic cancer without lymph node metastasis. J Dig Dis. 2010; 11:50–4. doi: 10.1111/j.1751-2980.2009.00413.x.

17. Ge J, Chen Z, Li R, Lu T, Xiao G. Upregulation of microRNA-196a and microRNA-196b cooperatively correlate with aggressive progression and unfavorable prognosis in patients with colorectal cancer. Cancer Cell Int. 2014; 14: 128. doi: 10.1186/s12935-014-0128-2.

18. Boisen MK, Dehlendorff C, Linnemann D, Nielsen BS, Larsen JS, Osterlind K, Nielsen SE, Tarpgaard LS, Qvortrup C, Pfeiffer P, Hollander NH, Keldsen N, Hansen TF, et al. Tissue microRNAs as predictors of outcome in patients with metastatic colorectal cancer treated with first line Capecitabine and Oxaliplatin with or without Bevacizumab. PLoS One. 2014; 9: e109430. doi: 10.1371/journal.pone.0109430.

19. Svoboda M, Sana J, Fabian P, Kocakova I, Gombosova J, Nekvindova J, Radova L, Vyzula R, Slaby O. MicroRNA expression profile associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer patients. Radiat Oncol. 2012; 7: 195. doi: 10.1186/1748-717X-7-195.

20. Toiyama Y, Hur K, Tanaka K, Inoue Y, Kusunoki M, Boland CR, Goel A. Serum miR-200c is a novel prognostic and metastasis-predictive biomarker in patients with colorectal cancer. Ann Surg. 2014; 259:735–43. doi: 10.1097/SLA.0b013e3182a6909d.

21. Shen A, Lin W, Chen Y, Liu L, Chen H, Zhuang Q, Lin J, Sferra TJ, Peng J. Pien Tze Huang inhibits metastasis of human colorectal carcinoma cells via modulation of TGF-beta1/ZEB/miR-200 signaling network. Int J Oncol. 2015; 46:685–90. doi: 10.3892/ijo.2014.2772.

22. Tian Y, Pan Q, Shang Y, Zhu R, Ye J, Liu Y, Zhong X, Li S, He Y, Chen L, Zhao J, Chen W, Peng Z, et al. MicroRNA-200 (miR-200) cluster regulation by achaete scute-like 2 (Ascl2): impact on the epithelial-mesenchymal transition in colon cancer cells. J Biol Chem. 2014; 289:36101–15. doi: 10.1074/jbc.M114.598383.

23. Wen X, Wu JQ, Peng W, Feng JF, Tang JH. MicroRNA-377 predicts poor clinical outcome of gastric cancer and induces tumorigenesis by targeting multiple tumor-suppressor genes. Oncol Rep. 2015; 34:203–10. doi: 10.3892/or.2015.3981.

24. Xu W, Seok J, Mindrinos MN, Schweitzer AC, Jiang H, Wilhelmy J, Clark TA, Kapur K, Xing Y, Faham M, Storey JD, Moldawer LL, Maier RV, et al. Human transcriptome array for high-throughput clinical studies. Proc Natl Acad Sci USA. 2011; 108:3707–12. doi: 10.1073/pnas.1019753108.

25. Qiu JJ, Ye LC, Ding JX, Feng WW, Jin HY, Zhang Y, Li Q, Hua KQ. Expression and clinical significance of estrogen-regulated long non-coding RNAs in estrogen receptor alpha-positive ovarian cancer progression. Oncol Rep. 2014; 31:1613–22. doi: 10.3892/or.2014.3000.

26. Sun NX, Ye C, Zhao Q, Zhang Q, Xu C, Wang SB, Jin ZJ, Sun SH, Wang F, Li W. Long noncoding RNA-EBIC promotes tumor cell invasion by binding to EZH2 and repressing E-cadherin in cervical cancer. PLoS One. 2014; 9:e100340. doi: 10.1371/journal.pone.0100340.


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