13 research outputs found

    Unsupervised hierarchical clustering based on our 2188-gene signature applied to external data sets.

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    <p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RNAseqv2 data sets. MMR proficient tumors (green), microsatellite-low tumors (blue) and MMR deficient tumors (red) along the x-axis.</p

    qRT-PCR analysis of 5 target genes in the four different colorectal cancer subsets.

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    <p>Differential expression of <i>MYC, NDUFA9</i>, <i>H2AFZ</i>, <i>AXIN2</i>, and <i>DNA2</i> was done for 12 representative samples (3 from each group) and qRT-PCR ratios were normalized to rRNA18S and median centered.</p

    Clinicopathologic features of malignant and borderline ovarian tumors in the study cohort.

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    <p><i>Feature</i>: M = Malignant, Bo = Borderline; <i>Tissue type</i>: tissue used for RNA extraction, FT = Fallopian Tube, N/A = Unknown; <i>Survival</i>: Disease specific survival, Alive = alive at start of study; <i>C-signature</i>: corresponding ovarian molecular subtype <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107643#pone.0107643-Tothill1" target="_blank">[18]</a>; <i>BC subtype</i>: corresponding intrinsic breast cancer subtype <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107643#pone.0107643-Hu1" target="_blank">[22]</a>.</p><p>Clinicopathologic features of malignant and borderline ovarian tumors in the study cohort.</p

    The 10 most significantly enriched biological processes in the malignant ovarian tumors in the study cohort [31].

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    <p>*FDR<0.05 and ≥3 recognized genes/biological function were required to consider a gene ontology (GO) process significant. 731 significant.</p><p>GO processes were identified.</p>a<p>Number of genes in the study cohort correlating to the GO process.</p>b<p>Number of genes in the GO process.</p><p>The 10 most significantly enriched biological processes in the malignant ovarian tumors in the study cohort <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107643#pone.0107643-Chen1" target="_blank">[31]</a>.</p

    Intrinsic breast cancer subtypes.

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    <p>Serous ovarian tumors in the study cohort with corresponding intrinsic breast cancer subtypes <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107643#pone.0107643-Hu1" target="_blank">[22]</a>. The rows outline the tumor types with the representation in each subtype in percent within parentheses. The p-value is calculated using Fisher's exact test.</p><p>Intrinsic breast cancer subtypes.</p

    Ovarian cancer subtypes.

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    <p>Serous ovarian tumors in the study cohort with corresponding ovarian cancer subtypes (“C-signatures”) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107643#pone.0107643-Tothill1" target="_blank">[18]</a>. The rows outline the tumor types with the representation in each subtype in percent within parentheses. The p-value is calculated using Fisher's exact test.</p><p>Ovarian cancer subtypes.</p

    Correlations between ovarian and breast cancer molecular subtypes.

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    <p>Correlations between specific ovarian cancer C-signatures <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107643#pone.0107643-Tothill1" target="_blank">[18]</a> and the intrinsic breast cancer subtypes <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107643#pone.0107643-Hu1" target="_blank">[22]</a> in the serous ovarian tumors in the study cohort. Tumors within each ovarian cancer C-signature are shown along the X axis, and the colored bars represent the percentage (on the Y axis) of each intrinsic breast cancer subtype within the respective C-signatures.</p
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