Figure S5. Expressed neoepitopes (FPKM≥5) in subtypes of breast cancer. The range of expressed neoepitopes (with FPKM≥5) is highest for the TNBC, followed by HER-2(+); and lowest for the ER/PR(+)HER-2(−) subtype of breast cancer. The median and range of the number of expressed neoepitopes are: 4 (0–131) in ER/PR(+)HER-2(−), 3 (0–82) in HER-2(+) and 8 (0–230) in TNBC. The number of samples in each case are: 583 (ER/PR(+)HER-2(−)), 138 (HER-2(+)), 92 (TNBC). Significant differences between reported FPKM values are computed pairwise for each breast cancer subtype using a Wilcox rank sum test, *** P < 0.001 (PDF 196 kb
Table S2. Patient and tumor characteristics. Demographic data for patients and clinical measurements...
Identification of ER- tumors that are AR-driven. (A) Top 10 C2 gene sets from MSigDB [22] enriched a...
Cox model DRFS analyses including intrinsic subtype in all patients from the MDACC-based cohort (GSE...
Figure S7. Expression analysis for the high affinity neoepitopes (FPKM ≥2). (A) The number of the ex...
Figure S6. Correlation of number of potential binding neoepitopes with number of expressed (FPKM≥2) ...
Figure S3. Correlation of number of potential binding neoepitopes with number of nonsynonymous mutat...
Figure S4. Length of potential binding neoepitopes in breast cancer. The number of potential binding...
Figure S10. Kaplan-Meier estimates by neoepitope load. KM curves of (A) disease-free survival and (B...
Figure S8. Distribution of neoepitopes binding to HLA class I alleles in the three subtypes of breas...
Figure S11. Kaplan-Meier estimates based on mutation burden and neoepitope load. KS curves of (A) di...
Table S1. Number of patients for breast cancer subtype in the TCGA dataset according to IHC status. ...
Table S3. Number of neoepitopes predicted for HLA class I alleles in all the breast cancer samples a...
Figure S1. Frequently mutated genes in TCGA breast cancer data. Here we show the mo for: (A) ER/PR(+...
Figure S2. Comparison of mutations called by the current protocol versus cBioportal ( http://www.cbi...
Figure S9. Kaplan-Meier estimates for high and low mutation burden. KM survival curves are shown for...
Table S2. Patient and tumor characteristics. Demographic data for patients and clinical measurements...
Identification of ER- tumors that are AR-driven. (A) Top 10 C2 gene sets from MSigDB [22] enriched a...
Cox model DRFS analyses including intrinsic subtype in all patients from the MDACC-based cohort (GSE...
Figure S7. Expression analysis for the high affinity neoepitopes (FPKM ≥2). (A) The number of the ex...
Figure S6. Correlation of number of potential binding neoepitopes with number of expressed (FPKM≥2) ...
Figure S3. Correlation of number of potential binding neoepitopes with number of nonsynonymous mutat...
Figure S4. Length of potential binding neoepitopes in breast cancer. The number of potential binding...
Figure S10. Kaplan-Meier estimates by neoepitope load. KM curves of (A) disease-free survival and (B...
Figure S8. Distribution of neoepitopes binding to HLA class I alleles in the three subtypes of breas...
Figure S11. Kaplan-Meier estimates based on mutation burden and neoepitope load. KS curves of (A) di...
Table S1. Number of patients for breast cancer subtype in the TCGA dataset according to IHC status. ...
Table S3. Number of neoepitopes predicted for HLA class I alleles in all the breast cancer samples a...
Figure S1. Frequently mutated genes in TCGA breast cancer data. Here we show the mo for: (A) ER/PR(+...
Figure S2. Comparison of mutations called by the current protocol versus cBioportal ( http://www.cbi...
Figure S9. Kaplan-Meier estimates for high and low mutation burden. KM survival curves are shown for...
Table S2. Patient and tumor characteristics. Demographic data for patients and clinical measurements...
Identification of ER- tumors that are AR-driven. (A) Top 10 C2 gene sets from MSigDB [22] enriched a...
Cox model DRFS analyses including intrinsic subtype in all patients from the MDACC-based cohort (GSE...