Serum microRNA‑21 levels are related to tumor size in gastric cancer patients but cannot predict prognosis

  • Authors:
    • Jianning Song
    • Zhigang Bai
    • Jun Zhang
    • Hua Meng
    • Jun Cai
    • Wei Deng
    • Jintao Bi
    • Xuemei Ma
    • Zhongtao Zhang
  • View Affiliations

  • Published online on: October 15, 2013     https://doi.org/10.3892/ol.2013.1626
  • Pages: 1733-1737
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

In patients with gastric cancer (GC), circulating microRNA‑21 (miR‑21) is overexpressed and may serve as a diagnostic biomarker. In the present study, it was hypothesized that the serum miR‑21 expression levels were associated with prognosis in the patients with GC. The expression levels of serum miR‑21 were measured using quantitative polymerase chain reaction (qPCR) assays in 103 GC patients. Survival and Cox proportional‑hazards regression analyses were performed to determine the correlation between serum miR‑21 expression levels and prognosis in the patients. The correlation between the serum miR‑21 levels and the clinicopathological factors of the patients was also analyzed. Survival curves were not significantly different between the groups exhibiting high and low levels of serum miR‑21 expression. High levels of miR‑21 in the serum were associated with an increased tumor size and an advanced pT stage. These findings suggest that serum miR‑21 could be exploited as a practical biomarker for monitoring tumor burden in patients with GC.

Introduction

Gastric cancer (GC) is one of the most common causes of mortality worldwide (1). In GC patients, survival and prognosis mainly depend on the TNM stage of the tumor at diagnosis. However, novel, specific, non-invasive biomarkers that are able to identify high-risk patients with a poor prognosis are urgently required. microRNAs (miRNAs) are single-stranded RNA molecules (21–23 nucleotides) that regulate gene expression by either interfering with transcription or inhibiting translation. These miRNAs play important roles in various human biological processes, including metabolism, differentiation, cell proliferation and apoptosis (2). Altered miRNA expression has been reported in various types of cancer, indicating that miRNAs may be involved in cancer tumorigenesis. A number of studies have shown that microRNAs circulate in the bloodstream in a highly stable, extracellular form (3,4) and may therefore be used as blood-based biomarkers for cancer and other diseases (57).

One of the most intensively studied miRNAs is miRNA-21 (miR-21). miRNA-21 has been shown to be overexpressed in numerous types of tumor tissues (8). It has been demonstrated that miR-21 is involved in cancer at almost all stages (9). In GC cell lines, miR-21 has been shown to promote proliferation and invasion, inhibit apoptosis and regulate cell migration (10,11). In clinical studies, miR-21 has been consistently overexpressed in GC tissues compared with corresponding normal gastric tissues (12). Tissue miR-21 levels have been reported to be significantly associated with differentiation, lymph node metastasis (11), tumor size, depth of invasion and TNM stage (13,14) in GC patients. Jiang et al(15) reported that miR-21 was significantly associated with S-1/oxaliplatin responses in GC patients. In serum/plasma samples from GC patients, miR-21 was also reported to be overexpressed and was considered to possibly serve as a diagnostic biomarker (16). Serum miR-21 has been reported to be significantly reduced after tumor resection in patients with GC, head and neck squamous cell carcinoma and lung carcinoma (17). In patients with diffuse large B-cell lymphoma, high serum miR-21 levels indicate a shorter relapse-free survival time (18). However, data concerning the possible prognostic role of serum miR-21 levels in GC are limited.

Based on previous data on miR-21, we propose that serum miR-21 may be related to the prognosis in GC. In the present study, the expression levels of serum miR-21 were detected in 103 GC cases using quantitative polymerase chain reaction (qPCR). Survival curves were compared using the log-rank test and Cox regression analysis to test the hypothesis that serum miR-21 levels were related to the prognosis in GC. Furthermore, the expression of serum miR-21 was analyzed and its correlation with the clinicopathological factors in GC was investigated.

Materials and methods

Patients and serum samples

Serum samples were obtained from 103 patients with GC that had been surgically treated in the Beijing Friendship Hospital (Beijing, China) between 2008 and 2009. No patients in this study had received chemotherapy or radiotherapy prior to blood sampling. Venous blood (5 ml) was collected from each patient prior to surgery and centrifuged at 125 × g for 10 min. Supernatants were recovered and stored at −80°C until further analysis. Follow-up data for all recruited patients were acquired and the survival time was calculated from the date of surgery to the date of mortality or last follow-up on 20 June, 2012. Written informed consent was obtained from each patient, and study approval was obtained from the Beijing Friendship Hospital ethics review board.

RNA extraction and reverse transcription

RNA for serum/plasma samples was isolated using an miRcute miRNA isolation kit (Tiangen Biotech, Beijing, China), according to the manufacturer’s instructions, with some modifications. Briefly, 300 μl human serum was mixed with 300 μl lysis buffer. Subsequent to phase separation, the aqueous phase was mixed with ethanol then added to miRspin and miRelute columns. The microRNA was eluted with 30 μl RNase-free water, with 18 μl used for reverse transcription. The RNA concentration and purity were assessed using an Eppendorf BioPhotometer (Eppendorf, Hamburg, Germany). The RNA concentrations ranged from 26–54 ng/μl. The purity of RNA was verified by measuring the absorbance of the samples at 260 and 280 nm and determining the 260/280 ratio (acceptable range, 1.77–1.92).

Reverse transcription was carried out using an all-in-one miRNA first-strand cDNA synthesis kit (GeneCopoeia, Rockville, MD, USA). Final reaction volumes were 25 μl and contained 1 μl 2.5 U/μl poly-A polymerase, 1 μl RTase mix, 5 μl 5X reaction buffer and 18 μl purified miRNA. Reverse transcription was performed in a PTC-200 peltier thermal cycler (Bio-Rad Laboratories, Shanghai, China) at 37°C for 60 min and then 85°C for 5 min.

Detection of serum miRNAs by qPCR

The qPCRs were conducted using an Applied Biosystems (ABI) 7500 thermal cycler (Invitrogen, Carlsbad, CA, USA) in 96-well plates. Each miRNA assay was performed in duplicate with a non-template control contained in each plate. To control for inter-assay variation, the samples analyzed on the same plate were for one specific miRNA. An all-in-one miRNA qPCR kit (GeneCopoeia) was used, with 20 μl qPCR mixtures containing 10 μl 2X all-in-one qPCR mix, 2 μl all-in-one miRNA qPCR primer, 2 μl universal adaptor primer, 0.4 μl 50X ROX reference dye and 5.6 μl cDNA. Amplification was performed on an ABI 7500 with a cycling profile of 50°C for 2 min and 95°C for 10 min, followed by 50 cycles of 95°C for 15 sec and 60°C for 1 min. At the end of the 50th cycle, a melt curve analysis was carried out to verify any non-specific amplification.

Statistical analysis

The relative quantity (Qrel) of miR-21 was quantified using the comparative ΔCt method using the following equation: Qrel = E^ − (Cqtest sample − CqAverage of miR-16 and miR-93), where E^ is the power of the PCR amplification efficiency and Cq is the quantification cycle.

We have previously reported that miR-16 and miR-93 may serve as double reference genes for the qPCR analysis of serum miRNAs in GC samples (19). In the present study, the statistical analysis was performed using SPSS 17.0 (SPSS, Inc., Chicago, IL, USA). Fisher’s exact test was used to compare the difference between the serum miR-21 high and low expression groups. The correlation between overall survival and serum miR-21 was analyzed using the Kaplan-Meier method and the log-rank test. The Cox proportional-hazards regression analysis was used to evaluate whether serum miR-21 was an independent prognostic factor for GC. All statistical tests were two-sided and P<0.05 was considered to indicate a statistically significant difference.

Results

Clinical characteristics of study participants with GC

The clinical characteristics of the study participants are listed in Table I. The study cohort was comprised of 68 males and 35 females. The mean age was 60 years (range, 27–87 years) and the median follow-up period was 35.9 months (range, 24.4–53.1 months). Of these patients, 80 underwent radical surgery and 23 underwent palliative surgery. None of the patients received peri-operative chemotherapy. The patients were at TNM stage I (n=23), II (n=8), III (n=58) and IV (n=14). At the last follow-up on June 20, 2012, 53 patients were still alive.

Table I

Correlation between clinicopathological factors and expression of miR-21 in serum.

Table I

Correlation between clinicopathological factors and expression of miR-21 in serum.

Clinicopathological factorsnmiR-21 expression (mean ± SD)P-value
Gender0.504
 Male68−0.611±0.509
 Female35−0.705±0.434
Age0.712
 ≤6053−0.653±0.491
 >6050−0.631±0.483
Tumor size0.048a
 ≤5 cm52−0.713±0.507
 >5 cm51−0.571±0.455
Tumor thickness0.021a
 pT118−0.798±0.507
 pT2 + pT312−0.577±0.547
 pT4a52−0.712±0.407
 pT4b21−0.375±0.531
Nodal status0.376
 pN025−0.778±0.543
 pN114−0.592±0.521
 pN217−0.526±0.462
 pN347−0.628±0.447
Distant metastasis0.196
 M089−0.667±0.491
 M114−0.486±0.425
Venous invasion0.750
 Positive28−0.617±0.486
 Negative75−0.652±0.485
Tumor differentiation0.443
 Poor59−0.611±0.452
 Moderate/well44−0.685±0.528
UICC stage0.238
 I + II31−0.744±0.509
 III58−0.626±0.481
 IV14−0.486±0.425
Surgery type0.100
 Radical80−0.690±0.470
 Palliative23−0.478±0.508

a Indicates a significant difference (P<0.05).

{ label (or @symbol) needed for fn[@id='tfn2-ol-06-06-1733'] } Since the relative quantity (Qrel) was logarithmic, Qrel was transformed through logarithmic transformation into linear distribution for statistical convenience. The negative expression values indicated that miR-21 was expressed less than arbitrary samples. UICC, Union for International Cancer Control; SD, standard deviation.

Correlation between serum miR-21 levels and GC prognosis

To evaluate whether the serum miR-21 level was associated with prognosis in patients with GC, a survival analysis was performed. The patients were divided into high miR-21 expression (n=51) and low miR-21 expression (n=52) groups. This division was based on the cut-off value determined as the median level of log-transformed relative quantity (−0.64) for the serum miR-21 expression levels. According to the Kaplan-Meier method, survival curves were not significantly different between the two groups (P=0.6341; Fig. 1A). A survival analysis for 80 of the 103 recruited patients who underwent radical surgery yielded the same results (P=0.8636; Fig. 1B).

High serum miR-21 levels were associated with increased tumor size and advanced pT stage

In order to better understand the potential roles of serum miR-21 in GC development and progression, the correlation between the serum miR-21 levels and the clinicopathological factors of the GC patients were also assessed. The Mann-Whitney test showed that there was no marked correlation between the miR-21 levels and factors such as age, gender, differentiation, lymph node metastasis and TNM stage (Table I). However, the serum miR-21 level was significantly elevated in the pT4b cases compared with the pT1, pT2 and T3, and pT4a cases (P<0.05; Fig. 2A). Additionally, a Pearson correlation analysis showed that the serum miR-21 levels rose significantly when the tumor size was increased (r=0.2633, P=0.0072; Fig. 2B).

Cox analyses of clinicopathological factors in GC patients

A univariate analysis showed that the tumor size, depth of invasion, lymph node metastasis, TNM stages and surgical method were significantly correlated with post-operative survival. The multivariate Cox proportional hazard regression analysis indicated that TNM stage and surgical method were significantly independent prognostic factors for patients with GC (P<0.05 and P=0.024, respectively; Table II).

Table II

Univariate and multivariate Cox analysis of prognostic factors in patients with GC.

Table II

Univariate and multivariate Cox analysis of prognostic factors in patients with GC.

UnivariateMultivariate


FactorsCategoriesRRRR (95% CI)P-valueRRRR (95% CI)P-value
GenderMale/female0.7630.429–1.3350.356---
Age>60/≤600.9750.557–1.7080.975---
Tumor size≥5/<52.6851.423–5.0700.002a0.9950.471–2.100.989
Depth of invasionT1 + T2/T3 + T45.9602.140–16.600.001a0.0010.0001–9.400.941
Lymph node metastasis Positive/negative7.0012.173–22.5540.001a2.0660.306–13.920.456
DifferentiationPoor/moderate1.6860.936–3.0390.082---
Venous invasion Positive/negative1.5620.859–2.8420.144---
TNM stageI + II/IV0.0970.034–0.275<0.0001a0.1430.047–0.4350.001a
III/IV0.2720.134–0.553<0.0001a0.4010.177–0.9050.028a
Surgery type Palliative/radical0.1950.110–0.347<0.0001a0.4580.232–0.9040.024a
Serum miR-21 expressionHigh/low0.8730.498–1.5300.873---

a Indicates a significant difference (P<0.05).

{ label (or @symbol) needed for fn[@id='tfn4-ol-06-06-1733'] } CI, confidence interval; GC, gastric cancer.

Discussion

In the present study, serum miR-21 was examined in order to explore its potential role as a prognostic biomarker for patients with GC. The findings showed that serum miR-21 levels were not able to predict a prognosis in the patients with GC. The serum miR-21 expression levels were positively correlated with tumor size, indicating that patients with higher serum miR-21 levels have larger tumors.

In contrast to studies with regard to miR-21 in tissues and cells of various types of cancer, research into miR-21 in the serum of GC patients is lacking. Serum miR-21 has been reported to be overexpressed in numerous types of cancer, but reduced levels have been observed after tumor resection (17,2023). Therefore, it is thought that miR-21 may serve as a potential broad-spectrum serum-based biomarker for the diagnosis of certain solid tumors (24). Despite growing evidence highlighting its diagnostic value in various types of cancer, few studies have systematically explored the prognostic role of serum miR-21. To the best of our knowledge, the present study is the first to determine whether serum miR-21 levels may be used to predict a prognosis in patients with GC.

In the present study, the survival curves showed that there was no significant difference between the higher and lower serum miR-21 expression groups. The subgroup analysis was defined according to whether patients underwent radical surgery, and the same results were shown. Chan et al(12) and Ueda et al(14) reached the conclusion that tissue miR-21 did not affect the clinical prognosis of GC, consistent with the present results. Extensive research has revealed that miR-21 is involved in proliferation, the cell cycle, metastasis and the chemosensitivity of tumor cells by targeting several tumor suppressor genes, including PTEN, MARCKS, PDCD4 and Cdc25A (2528). The correlation of tissue miR-21 expression levels and clinical stage, lymph node metastasis and prognosis of cancer patients were also evaluated (13,14). A correlation has rarely been reported between serum miR-21 expression levels and clinicopathological factors (12). This is likely due to the fact that the origin and biological function of circulating miRNAs is poorly understood. Recently, it was reported that miRNAs are selectively secreted into the circulation and may mediate intercellular communication (29,30). The miRNA expression profiles in tissues and cells are likely to be very different from those miRNAs in circulation. Similar miRNAs expressed in tissues and cells and those in circulation may play different biological roles in cancer development. Therefore, it is necessary to determine how serum miR-21 is involved in GC development. Clarifying the correlation between the serum miR-21 level and the clinicopathological factors in patients with GC may provide certain clues as to why serum miR-21 is not a predictor of GC prognosis.

The present study identified that higher serum miR-21 levels were associated with an increased tumor size and an advanced pT stage. Contradicting these results, Zheng et al identified that miR-21 levels in circulating tumor cells, not circulating miR-21 in serum, were associated with tumor size, TNM stages and tissue categories in GC patients (20). Based on the findings of the present study, we hypothesize that serum miR-21 levels may indirectly reflect the tumor burden in GC patients, with serum miR-21 expression reduced following effective treatment. There have been several reports stating that circulating miR-21 serum levels are significantly reduced after tumor resection (17,2023). The measurement of serum miR-21 levels may have several promising clinical applications inpatients with GC, including confirming the completeness of the tumor resection, evaluating the efficacy of adjuvant therapies and monitoring disease recurrence during the follow-up period.

In the present study, a Cox hazard regression model analysis showed that the tumor size and depth of invasion were predictors of prognosis in the GC patients, but they were not independent factors. This may explain why the serum miR-21 levels were correlated with tumor size and depth of invasion, but were not able to predict prognosis. As expected, the TNM stages and surgical method were significant independent prognostic factors in the patient cohort.

In addition, only serum miR-16 (without internal references) has previously been used for quantifying serum miRNAs. In the present study, serum miR-16 and miR-93 were used as double internal references (19) when calculating the Qrel of serum miR-21 by qPCR (31), leading to more convincing and reliable qPCR data.

In conclusion, serum miR-21 levels were not able to predict the prognosis of patients with GC. However, it was associated with increased tumor size and advanced pT stage. The expression level of serum miR-21 may be an indicator for the tumor burden in GC patients, thereby making serum miR-21 a reliable biomarker for effective therapies, such as chemotherapy and surgical resection.

Acknowledgements

The authors are extremely grateful for the skilled technical assistance of Dr Yingguang Gao and De Jie Yin. The authors would also like to thank Yuan Li for invaluable contributions towards the collection of the clinical data.

Abbreviations:

GC

gastric cancer

miRNAs

microRNAs

miR-21

microRNA-21

References

1 

Parkin DM, Bray F, Ferlay J and Pisani P: Global cancer statistics, 2002. CA Cancer J Clin. 55:74–108. 2005. View Article : Google Scholar

2 

Huang Y, Shen XJ, Zou Q, Wang SP, Tang SM and Zhang GZ: Biological functions of microRNAs: a review. J Physiol Biochem. 67:129–139. 2011. View Article : Google Scholar : PubMed/NCBI

3 

Chen X, Ba Y, Ma L, et al: Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 18:997–1006. 2008. View Article : Google Scholar : PubMed/NCBI

4 

Mitchell PS, Parkin RK, Kroh EM, et al: Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci USA. 105:10513–10518. 2008. View Article : Google Scholar : PubMed/NCBI

5 

Huang Z, Huang D, Ni S, Peng Z, Sheng W and Du X: Plasma microRNAs are promising novel biomarkers for early detection of colorectal cancer. Int J Cancer. 127:118–126. 2010. View Article : Google Scholar : PubMed/NCBI

6 

Zhao H, Shen J, Medico L, Wang D, Ambrosone CB and Liu S: A pilot study of circulating miRNAs as potential biomarkers of early stage breast cancer. PLoS One. 5:e137352010. View Article : Google Scholar : PubMed/NCBI

7 

Zen K and Zhang CY: Circulating MicroRNAs: a novel class of biomarkers to diagnose and monitor human cancers. Med Res Rev. 32:326–348. 2012. View Article : Google Scholar : PubMed/NCBI

8 

Volinia S, Calin GA, Liu CG, et al: A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci USA. 103:2257–2261. 2006. View Article : Google Scholar : PubMed/NCBI

9 

Selcuklu SD, Donoghue MT and Spillane C: miR-21 as a key regulator of oncogenic processes. Biochem Soc Trans. 37:918–925. 2009. View Article : Google Scholar : PubMed/NCBI

10 

Zhang Z, Li Z, Gao C, et al: miR-21 plays a pivotal role in gastric cancer pathogenesis and progression. Lab Invest. 88:1358–1366. 2008. View Article : Google Scholar : PubMed/NCBI

11 

Zhang BG, Li JF, Yu BQ, Zhu ZG, Liu BY and Yan M: microRNA-21 promotes tumor proliferation and invasion in gastric cancer by targeting PTEN. Oncol Rep. 27:1019–1026. 2012.PubMed/NCBI

12 

Chan SH, Wu CW, Li AF, Chi CW and Lin WC: miR-21 microRNA expression in human gastric carcinomas and its clinical association. Anticancer Res. 28:907–911. 2008.PubMed/NCBI

13 

Motoyama K, Inoue H, Mimori K, et al: Clinicopathological and prognostic significance of PDCD4 and microRNA-21 in human gastric cancer. Int J Oncol. 36:1089–1095. 2010.PubMed/NCBI

14 

Ueda T, Volinia S, Okumura H, et al: Relation between microRNA expression and progression and prognosis of gastric cancer: a microRNA expression analysis. Lancet Oncol. 11:136–146. 2010. View Article : Google Scholar : PubMed/NCBI

15 

Jiang J, Zheng X, Xu X, et al: Prognostic significance of miR-181b and miR-21 in gastric cancer patients treated with S-1/Oxaliplatin or Doxifluridine/Oxaliplatin. PLoS One. 6:e232712011. View Article : Google Scholar : PubMed/NCBI

16 

Kim SY, Jeon TY, Choi CI, et al: Validation of circulating miRNA biomarkers for predicting lymph node metastasis in gastric cancer. J Mol Diagn. Jun 24–2013.(Epub ahead of print).

17 

Tsujiura M, Ichikawa D, Komatsu S, et al: Circulating microRNAs in plasma of patients with gastric cancers. Br J Cancer. 102:1174–1179. 2010. View Article : Google Scholar : PubMed/NCBI

18 

Lawrie CH, Gal S, Dunlop HM, et al: Detection of elevated levels of tumour-associated microRNAs in serum of patients with diffuse large B-cell lymphoma. Br J Haematol. 141:672–675. 2008. View Article : Google Scholar : PubMed/NCBI

19 

Song J, Bai Z, Han W, et al: Identification of suitable reference genes for qPCR analysis of serum microRNA in gastric cancer patients. Dig Dis Sci. 57:897–904. 2012. View Article : Google Scholar : PubMed/NCBI

20 

Zheng Y, Cui L, Sun W, et al: MicroRNA-21 is a new marker of circulating tumor cells in gastric cancer patients. Cancer Biomark. 10:71–77. 2011.PubMed/NCBI

21 

Hsu CM, Lin PM, Wang YM, Chen ZJ, Lin SF and Yang MY: Circulating miRNA is a novel marker for head and neck squamous cell carcinoma. Tumour Biol. 33:1933–1942. 2012. View Article : Google Scholar : PubMed/NCBI

22 

Le HB, Zhu WY, Chen DD, et al: Evaluation of dynamic change of serum miR-21 and miR-24 in pre- and post-operative lung carcinoma patients. Med Oncol. 29:3190–3197. 2012. View Article : Google Scholar : PubMed/NCBI

23 

Komatsu S, Ichikawa D, Takeshita H, et al: Circulating microRNAs in plasma of patients with oesophageal squamous cell carcinoma. Br J Cancer. 105:104–111. 2011. View Article : Google Scholar : PubMed/NCBI

24 

Wang B and Zhang Q: The expression and clinical significance of circulating microRNA-21 in serum of five solid tumors. J Cancer Res Clin Oncol. 138:1659–1666. 2012. View Article : Google Scholar : PubMed/NCBI

25 

Lou Y, Yang X, Wang F, Cui Z and Huang Y: MicroRNA-21 promotes the cell proliferation, invasion and migration abilities in ovarian epithelial carcinomas through inhibiting the expression of PTEN protein. Int J Mol Med. 26:819–827. 2010.PubMed/NCBI

26 

Li T, Li D, Sha J, Sun P and Huang Y: MicroRNA-21 directly targets MARCKS and promotes apoptosis resistance and invasion in prostate cancer cells. Biochem Biophys Res Commun. 383:280–285. 2009. View Article : Google Scholar : PubMed/NCBI

27 

Fassan M, Pizzi M, Giacomelli L, et al: PDCD4 nuclear loss inversely correlates with miR-21 levels in colon carcinogenesis. Virchows Arch. 458:413–419. 2011. View Article : Google Scholar : PubMed/NCBI

28 

Wang P, Zou F, Zhang X, et al: microRNA-21 negatively regulates Cdc25A and cell cycle progression in colon cancer cells. Cancer Res. 69:8157–8165. 2009. View Article : Google Scholar : PubMed/NCBI

29 

Vickers KC, Palmisano BT, Shoucri BM, Shamburek RD and Remaley AT: MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins. Nat Cell Biol. 13:423–433. 2011. View Article : Google Scholar : PubMed/NCBI

30 

Wang K, Zhang S, Weber J, Baxter D and Galas DJ: Export of microRNAs and microRNA-protective protein by mammalian cells. Nucleic Acids Res. 38:7248–7259. 2010. View Article : Google Scholar : PubMed/NCBI

31 

Schmittgen TD and Livak KJ: Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. 3:1101–1108. 2008. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

December 2013
Volume 6 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Song J, Bai Z, Zhang J, Meng H, Cai J, Deng W, Bi J, Ma X and Zhang Z: Serum microRNA‑21 levels are related to tumor size in gastric cancer patients but cannot predict prognosis. Oncol Lett 6: 1733-1737, 2013
APA
Song, J., Bai, Z., Zhang, J., Meng, H., Cai, J., Deng, W. ... Zhang, Z. (2013). Serum microRNA‑21 levels are related to tumor size in gastric cancer patients but cannot predict prognosis. Oncology Letters, 6, 1733-1737. https://doi.org/10.3892/ol.2013.1626
MLA
Song, J., Bai, Z., Zhang, J., Meng, H., Cai, J., Deng, W., Bi, J., Ma, X., Zhang, Z."Serum microRNA‑21 levels are related to tumor size in gastric cancer patients but cannot predict prognosis". Oncology Letters 6.6 (2013): 1733-1737.
Chicago
Song, J., Bai, Z., Zhang, J., Meng, H., Cai, J., Deng, W., Bi, J., Ma, X., Zhang, Z."Serum microRNA‑21 levels are related to tumor size in gastric cancer patients but cannot predict prognosis". Oncology Letters 6, no. 6 (2013): 1733-1737. https://doi.org/10.3892/ol.2013.1626