Whole-exome sequencing identifies mutated PCK2 and HUWE1 associated with carcinoma cell proliferation in a hepatocellular carcinoma patient

  • Authors:
    • Yan-Xuan Liu
    • Shu-Fang Zhang
    • Ying-Hua Ji
    • Sheng‑Ju Guo
    • Geng-Fu Wang
    • Guang-Wen Zhang
  • View Affiliations

  • Published online on: July 26, 2012     https://doi.org/10.3892/ol.2012.825
  • Pages: 847-851
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Abstract

Hepatocellular carcinoma (HCC) is diagnosed in more than half a million individuals worldwide every year. It is often invasive and metastatic, resulting in a poor prognosis. Our knowledge of the genomic alterations implicated in HCC initiation and progression is fragmentary, and few molecular alterations unique to HCC are known. We performed whole‑exome sequencing for a pleomorphic cell‑type HCC tissue and matched normal tissue, and uncovered seven non‑synonymous somatic variants in SPATA21, PPCS, CDH12, OR1L3, PCK2, HUWE1 and PHF16. These variants were validated by PCR and sequencing, with the exception of that in PPCS. We further performed a bioinformatics analysis of the six validated variants. The results suggested that the function of the proteins of the three mutated genes, PCK2, HUWE1 and PHF16, may be changed significantly. Among these genes, PCK2, within the insulin signaling pathway, and HUWE1, within the ubiquitin-mediated proteolysis pathway, may be essential for cell proliferation. These pathways are known to be important for hepatocarcinogenesis. Hence, we suggest that PCK2 and HUWE1 are associated with carcinoma cell proliferation in HCC.

Introduction

Hepatocellular carcinoma (HCC) is diagnosed in more than half a million individuals worldwide every year. Liver cancer is the fifth most common cancer in males and the seventh most common in females. Most of the burden of the disease (85%) is borne in developing countries, with the highest incidence rates reported in regions where infection with hepatitis B virus (HBV) is endemic, including Southeast Asia and sub-Saharan Africa. Additional risk factors for HCC are alcohol, toxins, inlcuding aflatoxin, hemochromatosis, α1-antitrypsin deficiency and non-alcoholic fatty liver disease (NAFLD). HCC rarely occurs before the age of 40 years and reaches a peak at approximately 70 years of age. Rates of liver cancer among males are two to four times as high as the rates among females (15). Despite major efforts to improve the diagnosis and treatment of HCC, therapeutic options remain limited. Most patients, especially in Asia and sub-Saharan Africa, present at end stages of the disease or with underlying liver cirrhosis and consequently surgical options may no longer be indicated. Thus, there is a need for novel therapeutic agents and strategies. Despite its global significance, HCC is understudied compared with other major lethal types of cancer, and hence, our knowledge of the genomic alterations implicated in HCC initiation and progression is fragmentary. An improved understanding of the molecular genetic alterations specific to HCC may lead to the development of more efficient methods of prevention, early diagnosis and cure of this disease.

In this study, we carried out whole-exome sequencing using DNA obtained from HCC and matched normal tissue and found six previously unidentified variants in six genes. We further studied the molecular effects of these variants.

Materials and methods

Tissue and DNA preparation

HCC tissue was obtained from a 69-year-old male patient, who had chronic HBV infection and lymph node metastasis. The matched normal tissue was obtained from a distance of 3–4 cm from the HCC. Informed consent for the research was obtained from the ethical committee of the Hospital. DNA of these tissues was extracted using the traditional phenol chloroform method.

Informed consent was obtained from the patient. The study was approved by the ethics committee of the First Affiliated Hospital of Xinxiang Medical University, Weihui, China.

Targeted sequence capture and sequencing

SeqCap EZ Human Exome Library version 2.0 (Roche Diagnostics, Mannheim, Germany; 44.1 Mb regions are covered by the probes. Cat no. 05860504001) was used for sequence capture according to the manufacturer’s instructions. Genomic DNA (10 μg) was used to prepare the library with the Truseq DNA Sample Prep kit from Illumina (Illumina, San Diego, CA, USA; Cat. no. FC-121-1001). Sequencing was performed at a concentration of 12 pM on an Illumina Genome Analyzer IIx with paired-end 115-bp reads.

The genomic DNA library preparation, targeted sequence capture and massively parallel sequencing were completed by Guangzhou iGenomics Co., Ltd. (Guangzhou, China).

Alignment, variants calling and quality control

The software BWA (version 0.5.9) (6) was used to align the paired-end reads to the reference human genome (hg19). After the alignment, PCR duplications were removed using the SAMtools software package (version 0.1.16) (7). Candidate somatic variants were identified with the VarScan 2 software (version 2.2.8) and filtered by the accessory script (fpfilter.pl, version 1.01) with default parameters (8). To qualify the identified somatic variants, all candidate variants were subjected to manual review using the Integrative Genomics Viewer (9). Common variants were excluded by filtering known germ-line variants in Ensembl (version 64, http://sep2011.archive.ensembl.org/index.html) and an internal database composed of variants which occurred more than twice in 40 publicly available control genomes. A variant was noted if it was annotated as associated with a phenotype by Ensembl.

Bioinformatics analysis of non-synonymous somatic variants

The effects of the non-synonymous somatic variants were evaluated by bioinformatics analysis. The analysis of the chemical polarity and conservation, prediction of secondary structure and the domain of the proteins were performed. The conservation analysis was carried out by PhyloP (10) and MutationTaster (11), the prediction of secondary structure was performed through Jpred (12) and the domain prediction was analyzed with UniProt (http://www.uniprot.org).

Results

Clinical information of the patient

A 69-year-old male patient was diagnosed with pleomorphic cell-type HCC with lymph node metastasis. The primary tumor was on the left lobe of the liver (10×8×6 cm in size) and showed invasive and septal cirrhosis with macro- and micronodules. It was a grade II to III HCC with prominent clear cell components. The results of serological tests for HBV showed that the tumor was positive for surface antigen, Anti-HBe (E) and core antibodies, indicating that the patient had chronic HBV infection.

Summary of exome sequencing

The mean total number of bases sequenced was 4.65 Gb. The mean depth of the target region was 44-fold. The mean percentage of the targeted bases which were covered at least once was 98.6%. The mean percentage of the targeted bases which were covered sufficiently for variant calling (coverage ≥5) was 92.1%. The mean percentage of genes having >95% of their coding bases called was 77.0%. The details of the quality are shown in Table I.

Table I.

Summary of exome sequencing.

Table I.

Summary of exome sequencing.

ItemHCCMatched normalAverage
Total bases sequenced (Gb)4.644.664.65
Mean depth of target region (-fold)246344
Percentage of the targeted bases which were covered at least once (%)98.498.898.6
Percentage of the targeted bases which were covered sufficiently for variant calling (%)87.696.692.1
Percentage of genes having >95% of their coding bases called (%)70.483.577.0

[i] HCC, hepatocellular carcinoma.

Discovery of somatic variants

Raw sequence data revealed 1514 candidate somatic single nucleotide variations (SNVs) and 158 candidate somatic small insertions and deletions (InDels) in the HCC tissue and 63047 candidate germ-line SNVs and 4513 InDels. A series of subsequent qualifications of these data narrowed down these variants into 27 tumor-specific SNVs and seven InDels (Fig. 1). We focused our analysis on the six non-synonymous substitutions and one frameshift mutation affecting the integrity of the open reading frame (ORF). These seven candidate variants were located in different genes, SPATA21, PPCS, CDH12, OR1L3, PCK2, HUWE1 and PHF16. All the candidate variants were validated by PCR and sequencing, with the exception of a non-synonymous substitution in PPCS, which could not be distinguished from noise. Among these genes, HUWE1 and PHF16 were in the X chromosome. The details of the candidate variants are shown in Table II.

Table II.

Non-synonymous somatic variants identified in HCC by whole-exome sequencing.

Table II.

Non-synonymous somatic variants identified in HCC by whole-exome sequencing.

GeneGenomic locusaAccession no.MutationProteinFunctionb
SPATA21Chr1: 16748433NM_198546c.C68Tp.T23MCalcium ion binding
PPCSChr1: 42922652NM_024664c.C416Tp.A139VPhosphopantothenate - cysteine ligase activity
CDH12Chr5: 22078699NM_004061c.G87Cp.Q29HCalcium ion binding
OR1L3Chr9: 125438256NM_001005234c.T848Cp.V283AOdorant receptor
PCK2Chr14: 24566276NM_001018073c.G205Ap.E69KGTP binding/kinase activity
HUWE1ChrX: 53596682NM_031407c.G6418Ap.A2140TAcid - amino acid ligase activity/binding
PHF16ChrX: 46887461NM_001077445c.642_643insAp.G214fsZinc ion binding

a Coordinates refer to the human reference genome hg19 release.

b Gene Ontology (http://www.ebi.ac.uk/GOA/). HCC, hepatocellular carcinoma.

Bioinformatics analysis of validated variants

Six validated non-synonymous somatic variants were involved in the bioinformatics analysis, including five non-synonymous substitutions and one InDel. The chemical polarity of all the variants was changed, with the exception of the variation in OR1L3. Five variants would affect the secondary structure of the protein and the variant of OR1L3 would not. The frameshift variation in PHF16, located in the known domain, disturbed the gene structure. The results of conservation analysis indicated that the variants within PCK2 and HUWE1 may disturb the function of the protein encoded by these genes. The details of the analyzing of the candidate variants are shown in Table III.

Table III.

Bioinformatics analysis of validated variants.

Table III.

Bioinformatics analysis of validated variants.

GeneMutationProteinChemistry polaritySecondary structure of proteinDomainPhyloP valueConservative species at protein level
SPATA21c.C68TP.T23MChangedChangedUnknown−2.074NA
CDH12c.G87Cp.Q29HChangedChangedUnknown2.801Chimp, rhesus, cat, mouse, chicken
OR1L3c.T848Cp.V283ANANAKnown1.866Gorilla
PCK2c.G205Ap.E69KChangedChangedUnknown5.208Rhesus, cat, mouse, fugu, chicken, Xenopus, zebrafish, C. elegans, Drosophila
HUWE1c.G6418Ap.A2140TChangedChangedUnknown5.451Chimp, rhesus, mouse, zebrafish, fugu
PHF16c.642_643insAp.G214fsChangedChangedKnownNANA

Discussion

Using whole-exome sequencing, we identified seven non-synonymous somatic variants and validated six variants, which were previously unidentified in HCC. We further performed a bioinformatics analysis of the validated variants. The results suggest that the function of three mutated genes, PCK2, HUWE1 and PHF16, may be markedly changed.

HCC is a major health problem worldwide (13). Despite its global significance, liver cancer is understudied compared to other major lethal types of cancer, and few known genetic influences on the deveopment of HCC have been reported.

A number of studies in recent years have provided evidence that the p53 tumor suppressor gene plays a major role in hepatocarcinogenesis (14). However, the frequency of p53 variants and its mutation spectrum, with 75% missense variants, are exceptionally diverse in their position and nature, affecting over 200 codons scattered mainly throughout the central portion of the gene (15). There were no candidate somatic variants found within p53 in the patient of the present study.

The insulin-like growth factor (IGF) signaling system is an essential regulator of growth and development (16). The biological actions of the axis comprise a complex network of molecules whose main components are two high affinity mitogenic ligands: IGF1 and IGF2. The type 1 IGF receptor (IGF1R) has tyrosine kinase activity, the type 2 IGF receptor (IGF2R) is involved in the internalization and degradation of IGF2 and at least six high-affinity IGF-binding proteins (IGFBPs), which modulate the amount and bioactivity of locally available IGFs. Despite its role in normal physiology, the IGF axis is involved in the pathogenesis of several human malignancies, including breast, colon, prostate, lung and liver cancer (17). In HCC, the most frequently described aberrant feature concerning this pathway is overexpression of IGF2, which has been found in preneoplastic lesions (18). This mitogen, highly expressed during embryonic development, is markedly downregulated after birth by tight epigenetic regulation of the P2–P4 fetal promoters. Reactivation of IGF2 expression involves loss of specific imprinting and hypomethylation (19). Allelic losses of IGF2R has been detected in 60–70% of HCC cases, with inactivating variants in the remaining allele also reported (20). In addition, reduced expression of IGFBP-3 associated with promoter hypermethylation has been reported in human HCC samples (21). A recent study found aberrant activation of IGF1R in 21% of early stage hepatitis C-related HCC xases, and provided preclinical evidence of antineoplastic activity following IGF1R selective blockade using a monoclonal antibody (22). The potential role of the HBx viral protein as an inducer of IGF-IR expression has also been suggested (23). In the present study, the candidate gene PCK2 is in the insulin signaling pathway. PCK2 encodes a member of the phosphoenolpyruvate carboxykinase (GTP) family. The protein is a mitochondrial enzyme that catalyzes the conversion of oxaloacetate to phosphoenolpyruvate in the presence of GTP. A cytosolic form encoded by a different gene has also been characterized and is the key enzyme of gluconeogenesis in the liver. The encoded protein may serve a similar function, although it is constitutively expressed and not modulated by the hormones, including glucagon and insulin, that regulate the cytosolic form. Hill et al reported that the direct action of TNF to decrease the PEPCK transcription rate was confirmed in vitro with H-4-II-E Reuber hepatoma cells (24). The authors suggested that PCK2 may be associated with hepatocarcinogenesis.

CTNNB1 and AXIN1 variants are frequently found in HCC (25). Variants prevent β-catenin ubiquitination and subsequent degradation. Nuclear accumulation of β-catenin induces the transcription of several genes associated with cell differentiation and proliferation. In our study, the X-linked candidate gene HUWE1 is in the ubiquitin-mediated proteolysis pathway. The mutated gene may prevent β-catenin ubiquitination and subsequent degradation, similar to CTNNB1 and AXIN1. Notably, it is the X-linked gene which may contribute to the higher incidence of HCC in males.

In conclusion, we identified six genes with non-synonymous somatic variants in a HCC patient. Some of these genes are involved in pathways associated with cell proliferation and differentiation, which is known to be important in hepatocarcinogenesis. Our results indicate that the insulin signaling and ubiquitin-mediated proteolysis pathways may be essential to HCC, and their relevant gene signature may be a target for new therapies in HCC. Larger sample sizes are needed to confirm or disprove our hypothesis.

Acknowledgements

We thank Dr Li Tong for the suggestions about the experiment design. This study was supported by the Provincial Education Science Foundation of Henan (2009A330004).

References

1. 

D Motola-KubaD Zamora-ValdésM UribeN Méndez- SánchezHepatocellular carcinoma. An overviewAnn Hepatol516242006

2. 

P SrivatanakulH SriplungS DeerasameeEpidemiology of liver cancer: an overviewAsian Pac J Cancer Prev51181252004

3. 

KA McGlynnWT LondonEpidemiology and natural history of hepatocellular carcinomaBest Pract Res Clin Gastroenterol19323200510.1016/j.bpg.2004.10.00415757802

4. 

JM ClarkThe epidemiology of nonalcoholic fatty liver disease in adultsJ Clin Gastroenterol40Suppl 1S5S10200616540768

5. 

EK TeoKM FockHepatocellular carcinoma: an Asian perspectiveDig Dis19263268200110.1159/00005069211935085

6. 

H LiR DurbinFast and accurate long-read alignment with Burrows-Wheeler transformBioinformatics26589595201010.1093/bioinformatics/btp69820080505

7. 

H LiB HandsakerA Wysoker1000 Genome Project Data Processing Subgroup: The Sequence Alignment/Map format and SAMtoolsBioinformatics2520782079200910.1093/bioinformatics/btp35219505943

8. 

DC KoboldtQ ZhangDE LarsonVarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencingGenome Res22568576201210.1101/gr.129684.11122300766

9. 

JT RobinsonH ThorvaldsdóttirW WincklerIntegrative genomics viewerNat Biotechnol292426201110.1038/nbt.1754

10. 

KS PollardMJ HubiszKR RosenbloomA SiepelDetection of nonneutral substitution rates on mammalian phylogeniesGenome Res20110121201010.1101/gr.097857.10919858363

11. 

JM SchwarzC RödelspergerM SchuelkeD SeelowMutationTaster evaluates disease-causing potential of sequence alterationsNat Methods7575576201010.1038/nmeth0810-57520676075

12. 

C ColeJD BarberGJ BartonThe Jpred 3 secondary structure prediction serverNucleic Acids Res36W197W201200810.1093/nar/gkn23818463136

13. 

JM LlovetAM Di BisceglieJ BruixPanel of Experts in HCC-Design Clinical Trials: Design and endpoints of clinical trials in hepatocellular carcinomaJ Natl Cancer Inst100698711200810.1093/jnci/djn134

14. 

Y EdamotoA HaraW BiernatAlterations of RB1, p53 and Wnt pathways in hepatocellular carcinomas associated with hepatitis C, hepatitis B and alcoholic liver cirrhosisInt J Cancer106334341200310.1002/ijc.11254

15. 

P HainautM Hollsteinp53 and human cancer: the first ten thousand mutationsAdv Cancer Res7781137200010.1016/S0065-230X(08)60785-X10549356

16. 

M PollakInsulin and insulin-like growth factor signalling in neoplasiaNat Rev Cancer8915928200810.1038/nrc253619029956

17. 

D SachdevD YeeDisrupting insulin-like growth factor signaling as a potential cancer therapyMol Cancer Ther6112200710.1158/1535-7163.MCT-06-008017237261

18. 

P Laurent-PuigJ Zucman-RossiGenetics of hepatocellular tumorsOncogene2537783786200610.1038/sj.onc.1209547

19. 

SH TangDH YangW HuangHK ZhouXH LuG YeHypomethylated P4 promoter induces expression of the insulin-like growth factor-II gene in hepatocellular carcinoma in a Chinese populationClin Cancer Res1241714177200610.1158/1078-0432.CCR-05-226116857788

20. 

AT De SouzaGR HankinsMK WashingtonTC OrtonRL JirtleM6P/IGF2R gene is mutated in human hepatocellular carcinomas with loss of heterozygosityNat Genet1144744919957493029

21. 

T HanafusaY YumotoK NousoReduced expression of insulin-like growth factor binding protein-3 and its promoter hypermethylation in human hepatocellular carcinomaCancer Lett176149158200210.1016/S0304-3835(01)00736-4

22. 

V TovarC AlsinetA VillanuevaIGF activation in a molecular subclass of hepatocellular carcinoma and pre-clinical efficacy of IGF-1R blockageJ Hepatol52550559201010.1016/j.jhep.2010.01.01520206398

23. 

SO KimJG ParkYI LeeIncreased expression of the insulin-like growth factor I (IGF-I) receptor gene in hepatocellular carcinoma cell lines: implications of IGF-I receptor gene activation by hepatitis B virus X gene productCancer Res563831383619968706031

24. 

MR HillRE McCallumIdentification of tumor necrosis factor as a transcriptional regulator of the phosphoenolpyruvate carboxykinase gene following endotoxin treatment of miceInfect Immun60404040501992

25. 

A VillanuevaP NewellDY ChiangSL FriedmanJM LlovetGenomics and signaling pathways in hepatocellular carcinomaSemin Liver Dis275576200710.1055/s-2006-96017117295177

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October 2012
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Spandidos Publications style
Liu Y, Zhang S, Ji Y, Guo SJ, Wang G and Zhang G: Whole-exome sequencing identifies mutated PCK2 and HUWE1 associated with carcinoma cell proliferation in a hepatocellular carcinoma patient. Oncol Lett 4: 847-851, 2012
APA
Liu, Y., Zhang, S., Ji, Y., Guo, S., Wang, G., & Zhang, G. (2012). Whole-exome sequencing identifies mutated PCK2 and HUWE1 associated with carcinoma cell proliferation in a hepatocellular carcinoma patient. Oncology Letters, 4, 847-851. https://doi.org/10.3892/ol.2012.825
MLA
Liu, Y., Zhang, S., Ji, Y., Guo, S., Wang, G., Zhang, G."Whole-exome sequencing identifies mutated PCK2 and HUWE1 associated with carcinoma cell proliferation in a hepatocellular carcinoma patient". Oncology Letters 4.4 (2012): 847-851.
Chicago
Liu, Y., Zhang, S., Ji, Y., Guo, S., Wang, G., Zhang, G."Whole-exome sequencing identifies mutated PCK2 and HUWE1 associated with carcinoma cell proliferation in a hepatocellular carcinoma patient". Oncology Letters 4, no. 4 (2012): 847-851. https://doi.org/10.3892/ol.2012.825