Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Sep 6:10:186.
doi: 10.1186/1479-5876-10-186.

Circulating miR-200c as a diagnostic and prognostic biomarker for gastric cancer

Affiliations

Circulating miR-200c as a diagnostic and prognostic biomarker for gastric cancer

Manuel Valladares-Ayerbes et al. J Transl Med. .

Abstract

Background: MicroRNAs are aberrantly expressed and correlate with tumourigenesis and the progression of solid tumours. The miR-200 family determines the epithelial phenotype of cancer cells and regulates invasiveness and migration. Thus, we hypothesised that the quantitative detection of the miR-200 family as epithelial-specific microRNAs in the blood could be a useful clinical biomarker for gastric cancer (GC).

Methods: We initially validated the expression levels of miR-200a, 200b, 200c and 141 in GC cell lines (n = 2) and blood from healthy controls (n = 19) using real-time quantitative reverse transcription PCR (qRT-PCR). The microarray expression profiles of the miR-200 family in 160 paired samples of non-tumour gastric mucosae and GC were downloaded through ArrayExpress and analysed. MiR-200c was selected for clinical validation. The qRT-PCR prospective assessment of miR-200c was performed using 67 blood samples (52 stage I-IV GC patients and 15 controls); the area under the receiver operating characteristic curve (AUC-ROC) was estimated. The Kaplan-Meier and Breslow-Wilcoxon tests were used to assess the correlation of miR-200c with overall and progression-free survival (OS and PFS). Multivariate analyses were performed using the Cox model.

Results: The miR-200c blood expression levels in GC patients were significantly higher than in normal controls (p = 0.018). The AUC-ROC was 0.715 (p = 0.012). The sensitivity, specificity and accuracy rates of 65.4%, 100% and 73.1%, respectively, were observed. The levels of miR-200c in the blood above the cutoff defined by the ROC curve was found in 17.6% of stage I-II GC patients, 20.6% of stage III patients and 67.7% of stage IV patients (p < 0.001). The miR-200c expression levels were not associated with clinical or pathological characteristics or recent surgical procedures. There was a correlation (p = 0.016) with the number of lymph node metastases and the increased expression levels of miR-200c in blood were significantly associated with a poor OS (median OS, 9 vs 24 months; p = 0.016) and PFS (median PFS, 4 vs 11 months; p = 0.044). Multivariate analyses confirmed that the upregulation of miR-200c in the blood was associated with OS (HR = 2.24; p = 0.028) and PFS (HR = 2.27; p = 0.028), independent of clinical covariates.

Conclusions: These data suggest that increased miR-200c levels are detected in the blood of gastric cancer patients. MiR-200c has the potential to be a predictor of progression and survival.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Real-time PCR of the miR-200 family in control blood and gastric cancer cell lines. The raw quantification cycle (Cq) data for the miR-200 cluster in the control blood samples (n = 19) and gastric cancer cell lines (OE-19 and MKN-45) are depicted. In the blood, the mean Cq was lower for miR-141 (Cq = 28) compared with those for miR-200a (Cq = 35), 200b (Cq = 35) and 200c (Cq = 35; ANOVA, p < 0.001; Bonferroni post hoc test, p < 0.001). In the GC cell lines, the mean Cqs were 15.3, 16.7, 17.7 and 16.1 for miR-141, 200a, 200b and 200c, respectively, without significant differences (ANOVA, p = 0.133). The red boxes indicate control blood samples, while the light-blue boxes indicate the gastric cancer cell lines.
Figure 2
Figure 2
Real time PCR of miR-200c in blood samples. The graph depicts the increasing relative expression levels for the mean blood expression levels of miR-200c (Kruskal-Wallis test, p =0.018) from controls (n = 15) and gastric cancer samples (n = 52). Significant differences were observed between the blood expression levels of miR-200c in each TNM stage subgroup and the control group (Bonferroni post hoc test: stage I-III vs control, *p = 0.018; stage IV vs control, **p < 0.001). MiR-200c was measured in triplicate using qRT-PCR and normalised to U6 snRNA and 5S rRNA. The horizontal bar denotes the mean value for each group.
Figure 3
Figure 3
The role of blood miR-200c in gastric cancer diagnosis. The receiver-operating characteristic (ROC) curve analysis using blood miR-200c expression levels for discriminating gastric cancer (n = 52) and controls (n = 15) is shown. The area under the ROC curve is shown [AUC 0.715 (95% CI, 0.597–0.833); p = 0.012; cutoff value is 62.4; sensitivity, 65.4%; specificity, 100%].
Figure 4
Figure 4
miR-200c expression levels measured in the peripheral blood are associated with poor prognosis in gastric cancer patients. Kaplan-Meier curves showing (a) the overall survival (OS) and (b) the progression-free survival (PFS) of 52 subjects with high or low blood expression levels of miR-200c. Continuous miR-200c expression levels measured using qRT-PCR were converted to a dichotomous variable using the mean level of expression as a threshold. The p values were computed using the Breslow-Wilcoxon test.

Similar articles

Cited by

References

    1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893–2917. doi: 10.1002/ijc.25516. - DOI - PubMed
    1. Garcia-Esquinas E, Perez-Gomez B, Pollan M, Boldo E, Fernández-Navarro P, Lope V, Vidal E, López-Abente G, Aragonés N. Gastric cancer mortality trends in Spain, 1975–2005: differences by autonomous region and sex. BMC Cancer. 2009;9:346. doi: 10.1186/1471-2407-9-346. - DOI - PMC - PubMed
    1. Sturgeon CM, Duffy MJ, Hofmann BR, Lamerz R, Fritsche HA, Gaarenstroom K, Bonfrer J, Ecke TH, Grossman HB, Hayes P, Hoffmann RF, Lerner SP, Löhe F, Louhimo J, Sawczuk I, Taketa K, Diamandis EP. National academy of clinical biochemistry laboratory medicine practice guidelines for use of tumor markers in liver, bladder, cervical, and gastric cancers. Clin Chem. 2010;56:e1–e48. doi: 10.1373/clinchem.2009.133124. - DOI - PubMed
    1. Sun YF, Yang XR, Zhou J, Qiu SJ, Fan J, Xu Y. Circulating tumor cells, advances in detection methods, biological issues, and clinical relevance. J Cancer Res Clin Oncol. 2011;137:1151–1173. doi: 10.1007/s00432-011-0988-y. - DOI - PMC - PubMed
    1. Schwarzenbach H, Hoon DSB, Pantel K. Cell-free nucleic acids as biomarkers in cancer patients. Nat Rev Cancer. 2011;11:426–437. doi: 10.1038/nrc3066. - DOI - PubMed

Publication types