Additional file 3: Table S2. of Improving gastric cancer preclinical studies using diverse in vitro and in vivo model systems

Stage comparison according to ERBB2 expression in Asian (GEO accession: GSE36968). For comparisons, we used one-way ANOVA and Tukey’s test. In the Asian dataset, there were no significant differences between stages according to ERBB2 expression. (DOC 89 kb

Additional file 4: Figure S2A. of Improving gastric cancer preclinical studies using diverse in vitro and in vivo model systems

According to gastric cancer disease stage, ERBB2 expression in Asian (GEO accession: GSE36968) and Caucasian (GEO accession: GSE63288) datasets. a Box plots depicting ERBB2 expression in the Asian dataset (GEO accession: GSE36968). The x-axis represents stages and the y-axis is the logarithm of RPKM (a measure of gene expression). b Box plots depicting ERBB2 expression in the Caucasian dataset (GEO accession: GSE63288). The dataset did not contain stage IV patients. The x-axis represents GC disease stages and the y-axis is the logarithm of RPKMs. (DOC 88 kb

Additional file 1: Figure S1A. of Improving gastric cancer preclinical studies using diverse in vitro and in vivo model systems

Of 38 gastric cancer cell lines, we found that NCI-N87 cells, the basis for most preclinical anti-ERBB2 studies, had the highest ERBB2 expression level. (DOC 152 kb

Additional file 5: Table S3. of Improving gastric cancer preclinical studies using diverse in vitro and in vivo model systems

Stage comparison according to ERBB2 expression in Caucasian (GEO accession: GSE63288). For comparisons, we used one-way ANOVA and Tukey’s test. In the Caucasian dataset, there were significant stage differences according to ERBB2 expression. The significant p-value was in italic. (DOC 75 kb

Additional file 1: Table S1. of Prognostic value of ERBB4 expression in patients with triple negative breast cancer

Baseline characteristics of patients’ cohort. Table S2. The relationship among expression levels of ERBB family RTKs in TNBC. Table S3. elationships between stage of disease and chemotherapeutic agent. Table S4. Univariate analysis of baseline characteristics affecting ERBB4 expression (N=203). (DOCX 29 kb

Additional file 2: Figure S1. of Prognostic value of ERBB4 expression in patients with triple negative breast cancer

Box plots for the expression level of HER family genes and ESR1 gene. (A) Training set (N = 203). (B) Validation set (N = 84). (C) Group consisting of non-triple negative breast cancer (N = 52). Figure S2. Relationship among expression of the ERBB family genes and ESR1 gene in TNBC. Figure S3. Survival analysis according to the expression level of ESR1 and ERBB4 expression in the training set. (A) Kaplan-Meier survival curve for stage I/IIA (N = 149). (B) Kaplan-Meier survival curve for stage IIB/IIIA/IIIC (N = 54). (PPTX 266 kb