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miRNome of inflammatory breast cancer.

Maltseva DV, Galatenko VV, Samatov TR, Zhikrivetskaya SO, Khaustova NA, Nechaev IN, Shkurnikov MU, Lebedev AE, Mityakina IA, Kaprin AD, Schumacher U, Tonevitsky AG - BMC Res Notes (2014)

Bottom Line: Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far.Bioinformatic analysis was used to reveal IBC-specific miRNAs, deregulated pathways and potential miRNA targets. 31 differentially expressed miRNAs characterize IBC and mRNAs regulated by them and their associated pathways can functionally be attributed to IBC progression.We found that the mRNAs and pathways likely regulated by these miRNAs are highly relevant to cancer progression.

View Article: PubMed Central - PubMed

Affiliation: SRC Bioclinicum, Ugreshskaya str 2/85, 115088 Moscow, Russia. t.samatov@bioclinicum.com.

ABSTRACT

Background: Inflammatory breast cancer (IBC) is an extremely malignant form of breast cancer which can be easily misdiagnosed. Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far. The aim of this study was to reveal the IBC-specific miRNA expression profile and to evaluate its association with clinicopathological parameters.

Methods: miRNA expression profiles of 13 IBC and 17 non-IBC patients were characterized using comprehensive Affymetrix GeneChip miRNA 3.0 microarray platform. Bioinformatic analysis was used to reveal IBC-specific miRNAs, deregulated pathways and potential miRNA targets.

Results: 31 differentially expressed miRNAs characterize IBC and mRNAs regulated by them and their associated pathways can functionally be attributed to IBC progression. In addition, a minimal predictive set of 4 miRNAs characteristic for the IBC phenotype and associated with the TP53 mutational status in breast cancer patients was identified.

Conclusions: We have characterized the complete miRNome of inflammatory breast cancer and found differentially expressed miRNAs which reliably classify the patients to IBC and non-IBC groups. We found that the mRNAs and pathways likely regulated by these miRNAs are highly relevant to cancer progression. Furthermore a minimal IBC-related predictive set of 4 miRNAs associated with the TP53 mutational status and survival for breast cancer patients was identified.

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Related in: MedlinePlus

Kaplan-Meier survival curves for the patients from GSE19783 dataset classified using the IBC-specific predictive set of 4 miRNAs. The blue curve corresponds to the patients closer to the IBC class (L > 0). The red curve corresponds to the patients closer to non-IBC class (L < 0).
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Fig3: Kaplan-Meier survival curves for the patients from GSE19783 dataset classified using the IBC-specific predictive set of 4 miRNAs. The blue curve corresponds to the patients closer to the IBC class (L > 0). The red curve corresponds to the patients closer to non-IBC class (L < 0).

Mentions: Figure 3 demonstrates overall survival of the patients from the dataset GSE19783 classified using the same IBC-specific set of 4 miRNAs. The patients with the expression pattern characteristic for IBC have poor prognosis (blue curve) whereas the non-IBC-like patients have better survival (red curve). Although the Cox F-test p-value is only 7.3% here indicating moderate statistical significance, the result is consistent with the clinical value of TP53 status and points out to the functional relevance of IBC-specific miRNA expression pattern.Figure 3


miRNome of inflammatory breast cancer.

Maltseva DV, Galatenko VV, Samatov TR, Zhikrivetskaya SO, Khaustova NA, Nechaev IN, Shkurnikov MU, Lebedev AE, Mityakina IA, Kaprin AD, Schumacher U, Tonevitsky AG - BMC Res Notes (2014)

Kaplan-Meier survival curves for the patients from GSE19783 dataset classified using the IBC-specific predictive set of 4 miRNAs. The blue curve corresponds to the patients closer to the IBC class (L > 0). The red curve corresponds to the patients closer to non-IBC class (L < 0).
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4289319&req=5

Fig3: Kaplan-Meier survival curves for the patients from GSE19783 dataset classified using the IBC-specific predictive set of 4 miRNAs. The blue curve corresponds to the patients closer to the IBC class (L > 0). The red curve corresponds to the patients closer to non-IBC class (L < 0).
Mentions: Figure 3 demonstrates overall survival of the patients from the dataset GSE19783 classified using the same IBC-specific set of 4 miRNAs. The patients with the expression pattern characteristic for IBC have poor prognosis (blue curve) whereas the non-IBC-like patients have better survival (red curve). Although the Cox F-test p-value is only 7.3% here indicating moderate statistical significance, the result is consistent with the clinical value of TP53 status and points out to the functional relevance of IBC-specific miRNA expression pattern.Figure 3

Bottom Line: Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far.Bioinformatic analysis was used to reveal IBC-specific miRNAs, deregulated pathways and potential miRNA targets. 31 differentially expressed miRNAs characterize IBC and mRNAs regulated by them and their associated pathways can functionally be attributed to IBC progression.We found that the mRNAs and pathways likely regulated by these miRNAs are highly relevant to cancer progression.

View Article: PubMed Central - PubMed

Affiliation: SRC Bioclinicum, Ugreshskaya str 2/85, 115088 Moscow, Russia. t.samatov@bioclinicum.com.

ABSTRACT

Background: Inflammatory breast cancer (IBC) is an extremely malignant form of breast cancer which can be easily misdiagnosed. Conclusive prognostic IBC molecular biomarkers which are also providing the perspectives for targeted therapy are lacking so far. The aim of this study was to reveal the IBC-specific miRNA expression profile and to evaluate its association with clinicopathological parameters.

Methods: miRNA expression profiles of 13 IBC and 17 non-IBC patients were characterized using comprehensive Affymetrix GeneChip miRNA 3.0 microarray platform. Bioinformatic analysis was used to reveal IBC-specific miRNAs, deregulated pathways and potential miRNA targets.

Results: 31 differentially expressed miRNAs characterize IBC and mRNAs regulated by them and their associated pathways can functionally be attributed to IBC progression. In addition, a minimal predictive set of 4 miRNAs characteristic for the IBC phenotype and associated with the TP53 mutational status in breast cancer patients was identified.

Conclusions: We have characterized the complete miRNome of inflammatory breast cancer and found differentially expressed miRNAs which reliably classify the patients to IBC and non-IBC groups. We found that the mRNAs and pathways likely regulated by these miRNAs are highly relevant to cancer progression. Furthermore a minimal IBC-related predictive set of 4 miRNAs associated with the TP53 mutational status and survival for breast cancer patients was identified.

Show MeSH
Related in: MedlinePlus