Overexpression of PDZK1IP1, EEF1A2 and RPL41 genes in intrahepatic cholangiocarcinoma

Introduction

Intrahepatic cholangiocarcinoma (iCCA) is the second most common type of aggressive malignancy of the liver, resulting in a poor prognosis (1). Over the past two decades, the incidence of iCCA has increased by 22%, and iCCA is associated with high rates of mortality with <10% of patients surviving 5 years following diagnosis (2) due to its rapid growth and tendency to invade adjacent organs and metastasize. However, the molecular pathogenesis of iCCA remains to be elucidated.

Genome-wide analysis of gene expression with microarray and RNA-Seq technology has enabled an overall insight into iCCA molecular processes, and will enable characterization of the complex mechanism underlying the development of iCCA. Numerous microarray studies have identified hundreds of differentially expressed genes (DEGs) in tumor tissues or cell lines of iCCA when compared with normal intrahepatic bile duct epithelia or normal liver tissues (3,4), and a series of genes have been revealed as potential biomarkers or therapeutic targets for iCCA. A recent RNA-Seq study determined fusion and mutation in iCCA para-tumor/tumor sample pairs (5), allowing the comparison of gene expression in tumor samples of iCCA.

The present study analyzed RNA-Seq data from seven para-tumor and tumor sample pairs of iCCA. In order to clarify the transcriptomic difference between tumor and para-tumor tissue of iCCA, DEG analysis was performed. The RPL41 gene has two ensemble ID (ENSG00000279483 and ENSG00000229117) in the latest release of the Ensembl GRCh38 human reference genome. In the present analysis, only the differential expression of ENSG00000279483 was identified. It was identified that the expression of PDZK1IP1, EEF1A2 and RPL41 genes was significantly upregulated in the iCCA samples, this may indicate that PDZK1IP1, EEF1A2 and RPL41 are key molecular markers associated with the tumorigenesis and progression of iCCA. Notably, RPL41 has been annotated in the Genome Reference Consortium (GRC)h38 database for the first time and is also identified to be overexpressed in iCCA. Furthermore, genes associated with the immune system, metabolism and metabolic energy were significantly downregulated in iCCA tumor tissues, which indicates that the basic functions of the liver and cholangiole was affected in iCCA. The present study provided a global gene expression view of the tumorigenesis of iCCA.

Materials and methods

RNA-Seq data processing and expression profiling

Seven para-tumor/tumor pairs of iCCA RNA-Seq data were downloaded from the NCBI Gene Expression Omnibus (GEO; accession no. GSE63420; http://www.ncbi.nlm.nih.gov/geo/) and subsequently reanalyzed. These data were obtained from fresh frozen tumour tissue and corresponding normal tissue from 7 resected patients with iCCA, which were collected from the Biorepository Tissue Bank at the Icahn School of Medicine at Mount Sinai (New York, NY, USA) (5). Data were generated by the Illumina HiSeq 2500 system with 100 nucleotide single-end reads. High-quality sequences were aligned to Ensembl human genome GRCh38 (released on Jul 2014), which contain 20,364 coding genes and 196,345 gene transcripts, using a TopHat (v2.0.13) alignment tool with default parameters (6). Gene/transcripts expression levels were quantified by Cufflinks (v2.0.2) (7), yielding raw read counts and normalized FPKM values (reads per kilobase per million reads) which enables the comparison between para-tumor and tumor samples. Then, the gene/transcript expression values were log2 transformed and genes with null values were removed in all 7 pairs of samples. Pearson correlation coefficient and hierarchical clustering analysis (HCA), calculated by the Ward method (8) based on a distance matrix of the Pearson correlation of the samples, were performed in the R (www.r-project.org/) environment using its 'base' function and 'stat' packages. Samples with similar gene expression profiles were clustered together.

Differential expression analysis

Differential expression of genes between tumor samples and matched para-tumor samples was identified. Cuffdiff (v2.0.2) was applied to calculate fold changes using the FPKM value of each gene between tumor and matched para-tumor samples, and statistical significance of DEGs was presented by calculating a P-value according to Poisson distribution. Then, significance of a DEG/transcript between two samples was determined according the threshold of |log2 (fold change)|>5 and false discovery rate (FDR) adjusted to P<0.05.

Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs

Upregulated genes and downregulated genes identified by comparing gene expression between tumor and para-tumor samples were analyzed using the KEGG pathway database, as previously described (9), in order to determine the biological function of these DEGs. Enriched pathway was determined by significant fisher exact test (P<0.05), and at least 3 DEGs were involved in the pathway. The pathway enrichment analysis was performed using 'KEGG.db' and 'KEGGprofile' packages from R project.

Results

Overall gene expression profiling of iCCA samples

In order to characterize the global gene expression changes of iCCA samples, all the sequenced reads were aligned to the Ensembl GRCh38 human genome. Expression level values (FPKM) for 64,232 genes (including coding and non-coding genes) were obtained, and 20,880 genes with zero FPKM in all the 14 samples were excluded, finally, ~43,352 genes remained. After log2 transformation of FPKM values, HCA revealed the variability of each sample in terms of their gene expression levels. Samples were clearly clustered into two groups according to tumor and para-tumor samples (Fig. 1). The results of HCA showed marked gene expression alteration in iCCA tumor tissues. In addition, high correlation coefficient within the tumor and para-tumor groups indicates a satisfactory reproducibility and low variability in iCCA biological samples.

Figure 1 Hierarchical clustering analysis and heatmap of the correlation coefficients between the seven gene expression profiles of intrahepatic cholangiocarcinoma. ῾T᾿ represents tumor samples, and ῾N᾿ represents para-tumor samples. Green-red indicates correlation coefficients from low to high, respectively.

DEG analysis

DEGs were identified by comparing the gene expression profiles of 7 tumor samples and matched para-tumor tissues. The same cutoffs of P<0.05 and fold change >2 were applied to select DEGs for all tumor samples. As shown in Fig. 2, the number of DEGs in 7 tumor samples varied from 45 to 115, and 284 unique genes were identified to be DEGs in at least one iCCA patient. No overlapping DEGs were identified between the 7 iCCA samples. In addition, except for the iCCA4 sample, the number of downregulated genes was at least double that of the upregulated genes in each sample. This may indicate an overall downregulation transcriptomic expression in iCCA tumors. Differential expression of genes specific to iCCA were identified as deregulated genes in ≥4 of the iCCA samples.

Figure 2 Number of DEGs in each of the seven iCCA samples. The absolute number of differentially expressed genes are shown on the y-axis and the seven iCCA samples are shown on the x-axis. DEGs, differentially expressed genes; iCCA, intrahepatic cholangiocarcinoma.

Pathway enrichment analysis of DEGs

To further clarify the biological function of identified DEGs, pathway enrichment analysis was performed by analyzing the DEGs using the KEGG pathway database. Pathways with a fisher's exact P<0.05 and with at least three genes involved were determined to be significantly enriched. The results of the enriched pathways of the 140 downregulated genes are listed in Table I. The top enriched pathway was associated with fat digestion and absorption; other pathways were associated with the basic biological processes of the liver and gallbladder. The downregulation of these key metabolism genes may indicate the loss of these functions in iCCA tumors.

Table I Enriched pathways of downregulated genes.

Table I

Enriched pathways of downregulated genes.

Pathway	DEGs	Genes	DEGs/Genes (%)	P-value
Fat digestion and absorption	8	46	0.17	6.65E-10
Bile secretion	8	71	0.11	3.54E-08
Caffeine metabolism	3	7	0.43	3.79E-07
Steroid hormone biosynthesis	5	57	0.09	2.41E-05
Complement and coagulation cascades	5	69	0.07	7.14E-05
Metabolism of xenobiotics by cytochrome P450	5	71	0.07	8.38E-05
Drug metabolism-cytochrome P450	5	73	0.07	9.79E-05
Linoleic acid metabolism	3	30	0.1	2.44E-04
Retinol metabolism	4	64	0.06	4.95E-04
ABC transporters	3	44	0.07	1.07E-03
Drug metabolism-other enzymes	3	52	0.06	2.00E-03
Starch and sucrose metabolism	3	54	0.06	2.30E-03
Pancreatic secretion	4	101	0.04	3.73E-03
Cytokine-cytokine receptor interaction	7	265	0.03	4.78E-03
PPAR signaling pathway	3	70	0.04	5.83E-03
Vascular smooth muscle contraction	4	116	0.03	6.64E-03

[i] DEGs, differentially expressed genes.

Following analysis of the 107 upregulated genes, only three pathways were enriched (Table II). The top enriched pathway was salivary secretion, and no metabolic pathways were identified to be enriched. Notably, 4 upregulated genes were assigned to the significantly enriched Wnt signaling pathway and cytokine-cytokine receptor interaction pathway, respectively. The relevance of these pathways in cholangiocarcinoma or hepatocellular carcinoma has previously been confirmed by several studies (10,11).

Table II Enriched pathways of upregulated genes.

Table II

Enriched pathways of upregulated genes.

Pathway	DEGs	Genes	DEGs/Genes (%)	P-value
Salivary secretion	4	89	0.04	8.17E-05
Wnt signaling pathway	4	151	0.03	9.18E-04
Cytokine-cytokine receptor interaction	4	265	0.02	9.65E-03

[i] DEGs, differentially expressed genes.

Identification of iCCA specific DEGs

Whole-transcriptome sequencing allows the determination of key alterations in gene expression profiles that are associated with the pathogenesis of iCCA. As shown in Fig. 3, genes which were differentially expressed in at least 4 tumor samples were identified as specifically upregulated or downregulated in iCCA. The genes PDZK1IP1 (also termed MAP17), RPL41 and EEF1A2 were significantly upregulated in iCCA tumor samples.

Figure 3 Heatmap for genes differentially expressed in at least 4 iCCA tumor samples. iCCA, intrahepatic cholangiocarcinoma.

Furthermore, several genes associated with the immune system and metabolism were significantly downregulated (Table III). MBL2, ORM2, C8A and CD5L are important elements in the innate immune system. The downregulation of these genes may indicate a defect in immune function contributing to the tumorigenesis of iCCA. LPA, APOF, HAO1, SLC10A1, GYS2 and SULT2A1 involved in the lipid metabolism and circulation of bile acids were also found to be downregulated in iCCA. Furthermore, genes involved in metabolic energy and glycogen synthesis, such as GYS2, ABCG8 and NUGGC are negatively regulated in iCCA tumor tissues. Thus, the basic biological functions of the liver, including glycogen synthesis, are influenced by iCCA tumors.

Table III Gene ontology annotation of key intrahepatic cholangiocarcinoma-related genes.

Table III

Gene ontology annotation of key intrahepatic cholangiocarcinoma-related genes.

Category	Term	Term name	Genes
Immune↓	GO:0006950	Response to stress	C8A, MBL2, LPA, F9, CD5L, ORM2
	GO:0006952	Defense response	C8A, MBL2, CD5L, ORM2
	GO:0006954	Inflammatory response	C8A, MBL2, ORM2
	GO:0006629	Lipid metabolic process	HAO1, LPA, SULT2A1, APOF
	GO:0002682	Regulation of immune system process	C8A, MBL2, ORM2
Metabolism↓	GO:0006869	Lipid transport	ABCG8, LPA, APOF
	GO:0007586	Digestion	ABCG8, SULT2A1
	GO:0046395	Carboxylic acid catabolic process	HAO1, SULT2A1
Cancer↓	GO:0006414	Translational elongation	RPL41, EEF1A2

Discussion

iCCA is an aggressive primary liver tumor arising from the epithelial cells of intrahepatic bile ducts and the incidence of this disease has increased over the past two decades (2). Dioxin exposure, inflammatory disease, and parasitic liver diseases may be predominant risk factors of iCCA. However, the molecular mechanism of iCCA tumorigenesis remains unclear. The genome-wide gene expression of iCCA was investigated in order to demonstrate the molecular pathogenesis of iCCA. The expression of 43,352 genes was quantified using RNA-Seq data. Differential gene expression analysis and functional annotation tools were employed to clarify the changes in expression profiles, and further demonstrated the molecular mechanism underlying the tumorigenesis and progression of iCCA. In this study, PDZK1IP1, RPL41 and EEF1A2 were identified to be significantly overexpressed in iCCA.

RPL41, which is a novel protein coding gene annotated in the GRCh38 human genome database (12), was upregulated in the present study. To the best of our knowledge, this is the first annotation of RPL41 overexpression in iCCA. As a small ribosomal peptide deregulated in tumors, RPL41 is essential for mitosis and centrosome integrity (13), and also functions as a tumor suppressor and deregulates the bioactivity of tumor cells (13,14). The correlation between RPL41 and iCCA requires further investigation.

PDZK1IP1, PDZK1-interacting protein 1, is a small 17 kDa non-glycosylated membrane protein, researchers have revealed the overexpression of PDZK1IP1 in a variety of human carcinomas (15). As a common characteristic of carcinoma (15) overexpression of PDZK1IP1 enhances malignant behavior such as aggression and invasion of tumor cells (16). Overexpression of this gene was also observed in the present study, demonstrating its important role in the progression of iCCA. Upregulation of PDZK1IP1 has been demonstrated to enhance reactive oxygen species (ROS) production and tumorigenesis (16) as well as inhibit Myc-induced apoptosis through PI3K/AKT pathway activation (17). Therefore, PDZK1IP1 may be a key element in the tumorigenesis and progression of iCCA and may be associated with a poor prognosis.

EEF1A2, Elongation factor 1-α2, is upregulated in numerous cancer types and is essential for cell migration, invasion and metastasis in cancer (18,19). As a translation elongation factor, EEF1A2 binds to amino acylated tRNA directly and guides its connection with the ribosome and mRNA codon (20). Previous studies have identified the overexpression of EEF1A2 in various tumors, including breast cancer, ovarian cancer and prostate cancer (18,21–23). In addition, it was demonstrated that the upregulation of EEF1A2 can promote cancer cell migration, invasion and metastasis (19); therefore, as the present study identified EEF1A2 overexpression in iCCA, EEF1A2 may be a useful prognostic factor for iCCA.

In addition, the SLC25A47 gene is significantly downregulated in iCCA, and its encoded protein has the hallmark features of mitochondrial carrier proteins in hepatocellular carcinoma (24). Furthermore, downregulation of a solute carrier family gene SLC25A47 (also termed HDMCP) and a serpin peptidase inhibitor SERPINA11 was also associated with iCCA pathogenesis. Consistently, downregulation of SLC25A47 has been shown to induce the dissipation of the mitochondrial membrane potential in hepatocellular carcinoma, a common phenomenon observed in cancer cells (24). SERPINA11 is correlated with pathological stage of hepatocellular carcinoma, and is downregulated in oral squamous cell carcinomas (25). Thus, these genes could be a potential therapeutic target and biomarker in the treatment of iCCA.

Overall expression profiling identified a difference between para-tumor and tumor tissues, however, consistency was observed among the profiles of tumor tissues from different individuals. In total, 164 downregulated genes and 121 upregulated genes were identified in at least one tumor sample. KEGG pathway enrichment analysis of the DEGs demonstrated that dysregulated genes were predominantly associated with fat digestion and absorption, bile secretion and other metabolism pathways, which may indicate that the basic biological functions of the liver and cholangiole were altered in iCCA. In addition, 4 genes associated with the Wnt signaling pathway were significantly upregulated. Thus tumorigenesis and progression of iCCA may lead to the dysfunction of liver metabolism. Consistent with the present results, the expression of the SLC10A1 gene (a member of the sodium/bile acid cotransporter family which participates in the enterohepatic circulation of bile acids) was decreased in cholangiocarcinoma (26). SULT2A1, encoding a protein which catalyzes the sulfation of steroids and bile acids in the liver and adrenal glands, and the ABCG8 gene, which is associated with cholesterol absorption, were downregulated in iCCA. SULT2A1 and ABCG8 are important role in the bile secretion pathway. LPA (also termed APOA) and APOF involved in transport and/or esterification of cholesterol were also decreased in iCCA. This may indicate the dysfunction in lipid metabolism and the influence of iCCA on the biological functions of the liver.

In conclusion, PDZK1IP1, RPL41 and EEF1A2 were significantly upregulated in iCCA and may be associated with the poor prognosis of iCCA. Metabolism and immune function-related genes, MBL2, ORM2, C8A, CD5L and LPA, APOF, HAO1, SLC10A1, GYS2 were significantly downregulated and influenced in iCCA patients respectively. Therefore, the present study elucidated the gene expression patterns associated with the tumorigenesis of iCCA, which may be novel diagnostic factors for iCCA

Acknowledgments

This study was funded by the Outstanding Leaders Training Program of Pudong Health Bureau of Shanghai (grant no. PWR12015-04) and the Scientific Research Start-up Funding of the Seventh People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine.

References