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Original Research

Biological network-driven gene selection identifies a stromal immune module as a key determinant of triple-negative breast carcinoma prognosis

, , , , , & show all
Article: e1061176 | Received 03 Mar 2015, Accepted 08 Jun 2015, Published online: 12 Jan 2016

Figures & data

Figure 1. Methodology flow chart.

Figure 1. Methodology flow chart.

Figure 2. Heatmaps of the selected genes in the TNBC training set (upper left) and the TNBC validation sets (upper right: validation, lower left: Ignatiadis, lower right: METABRIC).

Figure 2. Heatmaps of the selected genes in the TNBC training set (upper left) and the TNBC validation sets (upper right: validation, lower left: Ignatiadis, lower right: METABRIC).

Table 1 A. Survival analysis (disease-specific survival). Chemotherapy-treated population. Univariate and multivariate analysis.

Table 1 B. Survival analysis (disease-specific survival). Chemotherapy-treated population. Two univariate models. Combination of NPI score and Immunity2 metagene expression

Figure 4. String Software connections between our Immunity1 and Immunity2 genes and the genes of eight previously published prognostic immune signatures. Stronger associations between genes are represented by thicker lines. Associations between genes with a coefficient < 0.9 are shown in green. Associations between genes with a coefficient ≥0.9 are shown in red. Associations between genes with a coefficient between 0.4 to 0.7 are not shown.

Figure 4. String Software connections between our Immunity1 and Immunity2 genes and the genes of eight previously published prognostic immune signatures. Stronger associations between genes are represented by thicker lines. Associations between genes with a coefficient < 0.9 are shown in green. Associations between genes with a coefficient ≥0.9 are shown in red. Associations between genes with a coefficient between 0.4 to 0.7 are not shown.

Table 2 A. Survival analysis (disease-specific survival). Chemotherapy-naive population. Univariate and multivariate analysis.

Table 2 B. Survival analysis (disease-specific survival). Chemotherapy-naive population. Univariate analysis. Combination of NPI score and Immunity2 metagene expression.

Figure 3. (A) Kaplan–Meier plots. Disease-specific survival of the chemotherapy-treated population (n = 139). NPI score. Immunity2 metagene. NPI score/Immunity2 metagene. (B) Kaplan–Meier plots. Disease-specific survival of the noCT population (n = 115). NPI score. Immunity2 metagene. NPI score/Immunity2 metagene.

Figure 3. (A) Kaplan–Meier plots. Disease-specific survival of the chemotherapy-treated population (n = 139). NPI score. Immunity2 metagene. NPI score/Immunity2 metagene. (B) Kaplan–Meier plots. Disease-specific survival of the noCT population (n = 115). NPI score. Immunity2 metagene. NPI score/Immunity2 metagene.

Figure 5. (A) Boxplots of gene expression for the Immunity1 and Immunity2 metagenes, in each breast cancer cell line subtype from the CCLE. (B) Boxplots of gene expression for the Immunity1 and Immunity2 metagenes in each breast cancer cell line subtype from the CGP.

Figure 5. (A) Boxplots of gene expression for the Immunity1 and Immunity2 metagenes, in each breast cancer cell line subtype from the CCLE. (B) Boxplots of gene expression for the Immunity1 and Immunity2 metagenes in each breast cancer cell line subtype from the CGP.
Supplemental material

1061176_supplemental_files.zip

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