Abstract

The discovery that microRNAs (miRNAs) regulate proliferation, invasion and metastasis provides a principal molecular basis of tumor heterogeneity. Microvessel distribution is an important characteristic of solid tumors, with significant hypoxia occurring in the center of tumors with low blood flow. The distribution of miR-374a in breast tumors was examined as a factor likely to be important in breast cancer progression. Breast tissue samples from 40 patients with breast cancer were classified into two groups: a highly invasive and metastatic group (HIMG) and a low-invasive and metastatic Group (LIMG). Samples were collected from the center and edge of each tumor. In each group, six specimens were examined by microRNA array, and the remaining 14 specimens were used for real-time RT-qPCR, Western blot and immunohistochemical analyses. Correlation analysis was performed for the miRNAs and target proteins. Follow-up was carried out during 28 months to 68 months after surgery, and survival data were analyzed. In the LIMG, the relative content of miR-374a was lower in the center of the tumor than at its edge; in the HIMG, it was lower at the edge of the tumor, and miR-374a levels were lower in breast cancer tissues than in normal tissues. There was no difference between VEGF-A and VCAM-1 mRNA levels at the edge and center of the tumor; however, we observed a significant difference between VEGF-A and VCAM-1 protein expression levels in these two regions. There was a negative correlation between miR-374a and target protein levels. The microvessel density (MVD) was lower in the center of the tumor than at its edge in HIMG, but the LIMG vessels were uniformly distributed. There was a significant positive correlation between MVD and the number of lymph node metastases (Pearson correlation, r=0.912, P<0.01). The median follow-up time was 48.5 months. LIMG had higher rate of disease-free survival (100%, P=0.013) and longer median survival time (66 months) than HIMG, which had a lower rate of 75% and shorter median survival time (54 months). Our data demonstrated miR-374a to be differentially distributed in breast cancer; VEGF-A and VCAM-1 mRNA had coincident distribution, and the distribution of teh respective proteins was uneven and opposite to that for the miR-374a. These data might explain the differences in the distribution of MVD in breast cancer and variation in breast cancer prognosis.

Highlights

  • Solid tumors cannot develop beyond the size of 1–2mm without the induction of angiogenesis, which is regulated by natural inhibitors (Jakóbisiak et al, 2003)

  • The relative expression of miR-374a was lower in the center of the low-invasive and metastatic Group (LIMG) tumor than that at the edge; in the highly invasive and metastatic group (HIMG) tumor, it was lower at the edge than that in the center, and lower in breast cancer tissues than in normal tissues (Figure 3A)

  • VEGF-A and VCAM-1 mRNA levels were higher in the HIMG than in the LIMG, and they were higher in HIMG and LIMG than in the Normal group; there were no differences between the expression levels at the edge and in the center of the tumor (Figure 3B)

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Summary

Introduction

Solid tumors cannot develop beyond the size of 1–2mm without the induction of angiogenesis, which is regulated by natural inhibitors (Jakóbisiak et al, 2003). We found that miR-374a was differentially distributed in breast cancer; VEGF-A and VCAM-1 mRNA had coincident distribution, and the distribution of VEGF-A and VCAM-1 proteins was uneven and opposite to that for the miR-374a These data might explain the differences in the distribution of MVD in breast cancer and the differences in breast cancer prognoses. Conclusions: Our data demonstrated miR-374a to be differentially distributed in breast cancer; VEGF-A and VCAM-1 mRNA had coincident distribution, and the distribution of teh respective proteins was uneven and opposite to that for the miR-374a. These data might explain the differences in the distribution of MVD in breast cancer and variation in breast cancer prognosis

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