3.1 Identification of DEGs using GEO datasets
GEO datasets GSE58840, GSE60335, GSE58878, GSE26465, GSE73935 and GSE54772, containing expression profiles of taxol-sensitive and resistant cell lines, were downloaded using R package “GEOquery”. The study characteristics and sizes of selected datasets were described in Table 1. 226 up-regulated genes and 214 down-regulated genes were found in taxol-resistant SKOV3 cells in microarray GSE58840, GSE60335 and GSE58878 (Figure 1A and Supplementary Table 1), while 494 up-regulated genes and 451 down-regulated genes were identified in taxol-resistant A2780 cell line in microarray GSE26465 (Figure 1B and Supplementary Table 1). 150 DEGs were screened from the GSE73935 dataset, including 71 up-regulated genes and 79 down-regulated genes in taxol-resistant OV90 cell line (Figure 1C and Supplementary Table 1). Additionally, 74 and 48 genes were up-regulated and down-regulated respectively in taxol-resistant SKOV3 cell line in dataset GSE54772 (Figure 1D and Supplementary Table 1). The overlapping up-regulated and down-regulated genes were obtained from the intersection of DEG datasets identified above (Figure 1E-F).
Table 1. mRNA sequencing datasets containing taxol-sensitive/resistant cell lines
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)
3.2 Survival analysis
To explore if DEGs identified in taxol-sensitive and -resistant ovarian cancer cell lines are related to PFI and OS of ovarian cancer patients, samples from TCGA-OV with recurrence and therapy information are selected and analyzed (Supplementary Table 2). To each DEG identified, correlation of the expression of this gene with PFI and OS was evaluated with Kaplan-Meier method. Samples were divided into a high-expression group and a low-expression group according to the cutoff value of the certain gene, which was calculated by maximally selected rank and statistics method using R package “survminer”. For genes that show statistically significant differences in OS and PFI survival analysis, we determined whether the difference of their expression in sensitive and drug-resistant cell lines were consistent with the differences shown in survival analysis. If a specific gene had a higher expression level in taxol-resistant cell line, the survival of patients with this highly expressed gene should be poorer. Interferon Stimulated Gene 15 (ISG15), synuclein alpha (SNCA) and RIPK2 were up-regulated in taxol-resistant cell lines, while their high expression were also correlated with shorter OS and PFI in TCGA-OV dataset. Phospholipase C gamma 2 (PLCG2), ras homolog family member U (RHOU), tribbles pseudokinase 2 (TRIB2) and elongator acetyltransferase complex subunit 3 (ELP3) had low expression in taxol-resistant cell lines and their high expression was related to better survival in TCGA-OV dataset (Figure S1-6).
Dataset GSE30161, GSE32062 and GSE63885 which contained clinical information of patients with serous ovarian cancer including OS and PFI were selected to further validate effects of the expression of ISG15, SNCA, RIPK2, PLCG2, RHOU, TRIB2 and ELP2 on patients’ chemosensitivity to taxol treatment (Table 2 and Supplementary Figure 1-6). In all three datasets, high expression group and low expression group of RIPK2 showed significant difference in survival analysis with both OS and PFI, suggesting that high expression of RIPK2 was a risk factor of survival in patients with serous ovarian cancer (Figure 2).
We further validated the prediction value of RIPK2 expression by dividing TCGA-OV cohort into four groups based on patients’ RIPK2 expression level and if taxol was used during treatment. Survival analysis were carried out and we found that patients with low RIPK2 expression and taxol treatment showed the longest OS, while those with low RIPK2 but were not treated by taxol showed the shortest OS. Meanwhile, there were no significant difference of OS in patients with high expression of RIPK2, no matter they were treated by taxol or not.
Table 2. mRNA sequencing datasets containing overall survival and progress free interval of serous ovarian patients treated with taxol
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)
3.3 Correlations of RIPK2 gene expression with taxol resistance in CCLE
CCLE contains a large panel of human cancer cell lines and their pharmacological profiles, in which the gene expression files and IC50 values to taxol of 21 ovarian cancer cell lines were included (Supplementary table 3). By dividing the expression level of RIPK2 in each cell line by the expression level of GAPDH in the same cell line, the expression of RIPK2 was normalized. Correlation of RIPK2 expression and IC50 of taxol was analyzed by R package “corrplot” with Spearman method. The correlation coefficient was 0.46 (p<0.05), indicating that higher expression of RIPK2 elevated taxol resistance of multiple ovarian cancer cell lines.
3.4 RIPK2 co-expression network in ovarian cancer
In order to gain further insight of the biological function of RIPK2 in development of taxol resistance in ovarian cancer, the co-expression mode of RIPK2 in serous ovarian cancer patients treated with taxol was analyzed. In dataset TCGA-OV, 341 genes were found to show a significant positive co-expression pattern with RIPK2, while no gene showed a negative co-expression. The expression of 704 genes had a positive correlation with RIPK2 expression in GSE30161 and 1706 had a negative correlation. 45 genes positively co-expressed while 37 negatively co-expressed with RIPK2 in GSE32063. 17 genes were found in dataset GSE63885 to have a positive co-expression pattern with RIPK2 and 4 genes had a negative co-expression pattern. A total description of the co-expressed genes was detailed in Supplementary Table 4.
Function analysis were made using the intersections of every two datasets as input. Significant GO term showed that RIPK2 co-expressed genes from multiple datasets participate mainly in cell adhesion molecule binding, positive regulation of cytokine production and focal adhesion(Figure 3A-C). KEGG pathway analysis showed an enrichment in NF-kappa B signaling pathway, NOD-like receptor signaling pathway and Ubiquitin mediated proteolysis pathway. (Figure 3D and Supplementary Table 5).
A PPI network of RIPK2 related genes were created on the basis of information from the STRING database, which further illustrates the connection of these co-expressed genes from the protein level. The average aggregation coefficient was 0.508, and the enrichment p<1.0e-3 (Figure 3E).
3.5 Genomic alterations of RIPK2 in ovarian cancer
cBioPortal tool was used to determine the alterations of RIPK2 in ovarian cancer patients who were treated with taxol in TCGA-OV database. Alterations occurred in 26 of 252 samples (10%), including 1 missense mutation (0.4%), 7 amplification (3%), 21 mRNA upregulation (8%) and 4 mRNA downregulation (2%) (Figure 4A). RIPK2 amplification results of high expression of RIPK2, which may relate to taxol resistance. Thus, AMP is the most common type of RIPK2 copy number alteration (CNA) in ovarian cancer (Figure 4B). Meanwhile there was significant difference of amplification of oxidative stress induced growth inhibitor family member 2 (OSGIN2), nibrin (NBN), Ras-Related Protein Rab-2A (RAB2A) and calbindin 1 (CALB1), etc in RIPK2-altered and -unaltered group (Figure 4C and Supplementary Table 6). Moreover, the mutation frequency of ArfGAP with SH3 domain, ankyrin repeat and PH domain 1 (ASAP1), ATP/GTP binding protein 1 (AGTPBP1), frizzled class receptor 7 (FZD7), HECT and RLD domain containing E3 ubiquitin protein ligase 5 (HERC5), KIAA0232, Mitogen-Activated Protein Kinase Kinase Kinase 10 (MAP3K10), PATJ crumbs cell polarity complex component (PATJ), PDGFA associated protein 1 (PDAP1), xin actin binding repeat containing 1 (XIRP1) was significantly associated with the alteration of RIPK2 (Figure 4D and Supplementary Table 7).
3.6 Evaluation the difference of immune cell infiltration
The immune infiltration of 64 types of immune cells, including adaptive and innate immune cells, hematopoietic progenitors, epithelial cells, and extracellular matrix cells, were evaluated by R package “xCell”, using the method of ssGSEA in ovarian cancer tissues. In dataset TCGA-OV, the infiltration of Macrophages M1, Melanocytes and plasmacytoid dendritic cells (pDC) was positively related to the expression of RIPK2, while the infiltration of Neurons was negatively related to the expression of RIPK2 (Figure 5A and Supplementary Table 8-9). Meanwhile, CD8+ naive T-cells , common lymphoid progenitors (CLP), CD4+ memory T-cells, smooth muscle and Hematopoietic stem cells (HSC) infiltrated more when RIPK2 expression levels were higher, but immature dendritic cells (iDC), Neurons, Basophils, Class-switched memory B-cells, mensenchymal stem cells(MSC), microvascular endothelial cells, natural killer T-cells(NKT), pro B-cells, Pericytes, Melanocytes, Mast cells, CD4+ T-cells, Plasma cells, MEP, lymphatic endothelial cells, Chondrocytes, pDC, endothelial cells, Myocytes and CD4+ central memory T-cells infiltrated less (Figure 5B andSupplementary Table 8-9). The infiltration of dendritic cells (DC) was positively correlated with the expression of RIPK2 and the infiltration of Mast cells was negatively correlated with the expression of RIPK2 in dataset GSE32063 (Figure 5C and Supplementary Table 8-9). In dataset GSE63885, melanocyte’s infiltration was high when RIPK2 had higher expression, while the infiltration of neurons and HSC was low (Figure 5D and Supplementary Table 8-9).