Mapping of the serum proteome of hepatocellular carcinoma induced by targeted overexpression of epidermal growth factor to liver cells of transgenic mice

Serum proteome mapping of EGF transgenic mice reveal mechanistic biomarkers of lung cancer precursor lesions with clinical significance for human adenocarcinomas

Atypical adenomatous hyperplasia (AAH) of the lung is a pre-invasive lesion (PL) with high risk of progression to lung cancer (LC). However, the pathways involved are uncertain. We searched for novel mechanistic biomarkers of AAH in an EGF transgenic disease model of lung cancer. Disease regulated proteins were validated by Western immunoblotting and immunohistochemistry (IHC) of control and morphologically altered respiratory epithelium. Translational work involved clinical resection material. Collectively, 68 unique serum proteins were identified by 2DE-MALDI-TOF mass spectrometry and 13 reached statistical significance (p < 0.05). EGF, amphiregulin and the EGFR endosomal sorting protein VPS28 were induced up to 5-fold while IHC confirmed strong induction of these proteins. Furthermore, ApoA1, α-2-macroglobulin, and vitamin-D binding protein were nearly 6- and 2-fold upregulated in AAH; however, ApoA1 was oppositely regulated in LC to evidence disease stage dependent regulation of this tumour suppressor. Conversely, plasminogen and transthyretin were highly significantly repressed by 3- and 20-fold. IHC confirmed induced ApoA1, Fetuin-B and transthyretin expression to influence calcification, inflammation and tumour-infiltrating macrophages. Moreover, serum ApoA4, ApoH and ApoM were 2-, 2- and 6-fold repressed; however tissue ApoM and sphingosine-1-phosphate receptor expression was markedly induced to suggest a critical role of sphingosine-1-phosphate signalling in PL and malignant transformation. Finally, a comparison of three different LC models revealed common and unique serum biomarkers mechanistically linked to EGFR, cMyc and cRaf signalling. Their validation by IHC on clinical resection material established relevance for distinct human lung pathologies. In conclusion, we identified mechanistic biomarker candidates recommended for in-depth clinical evaluation.

Loss of hepatocyte ERBB3 but not EGFR impairs hepatocarcinogenesis

Epidermal growth factor receptor (EGFR) and ERBB3 have been implicated in hepatocellular carcinogenesis (HCC). However, it is not known whether altering the activity of either EGFR or ERBB3 affects HCC development. We now show that Egfr(Dsk5) mutant mice, which have a gain-of-function allele that increases basal EGFR kinase activity, develop spontaneous HCC by 10 mo of age. Their tumors show increased activation of EGFR, ERBB2, and ERBB3 as well as AKT and ERK1,2. Hepatocyte-specific models of EGFR and ERBB3 gene ablation were generated to evaluate how the loss of these genes affected tumor progression. Loss of either receptor tyrosine kinase did not alter liver development or regenerative liver growth following carbon tetrachloride injection. However, using a well-characterized model of HCC in which N-nitrosodiethylamine is injected into 14-day-old mice, we discovered that loss of hepatocellular ERBB3 but not EGFR, which occurred after tumor initiation, retarded liver tumor formation and cell proliferation. We found no evidence that this was due to increased apoptosis or diminished phosphatidylinositol-3-kinase activity in the ERBB3-null cells. However, the relative amount of phospho-STAT3 was diminished in tumors derived from these mice, suggesting that ERBB3 may promote HCC through STAT3 activation.

Proteome mapping of epidermal growth factor induced hepatocellular carcinomas identifies novel cell metabolism targets and mitogen activated protein kinase signalling events

Background

Hepatocellular carcinoma (HCC) is on the rise and the sixth most common cancer worldwide. To combat HCC effectively research is directed towards its early detection and the development of targeted therapies. Given the fact that epidermal growth factor (EGF) is an important mitogen for hepatocytes we searched for disease regulated proteins to improve an understanding of the molecular pathogenesis of EGF induced HCC. Disease regulated proteins were studied by 2DE MALDI-TOF/TOF and a transcriptomic approach, by immunohistochemistry and advanced bioinformatics.

Results

Mapping of EGF induced liver cancer in a transgenic mouse model identified n = 96 (p < 0.05) significantly regulated proteins of which n = 54 were tumour-specific. To unravel molecular circuits linked to aberrant EGFR signalling diverse computational approaches were employed and this defined n = 7 key nodes using n = 82 disease regulated proteins for network construction. STRING analysis revealed protein-protein interactions of > 70% disease regulated proteins with individual proteins being validated by immunohistochemistry. The disease regulated network proteins were mapped to distinct pathways and bioinformatics provided novel insight into molecular circuits associated with significant changes in either glycolysis and gluconeogenesis, argine and proline metabolism, protein processing in endoplasmic reticulum, Hif- and MAPK signalling, lipoprotein metabolism, platelet activation and hemostatic control as a result of aberrant EGF signalling. The biological significance of the findings was corroborated with gene expression data derived from tumour tissues to evntually define a rationale by which tumours embark on intriguing changes in metabolism that is of utility for an understanding of tumour growth. Moreover, among the EGF tumour specific proteins n = 11 were likewise uniquely expressed in human HCC and for n = 49 proteins regulation in human HCC was confirmed using the publically available Human Protein Atlas depository, therefore demonstrating clinical significance.

Conclusion

Novel insight into the molecular pathogenesis of EGF induced liver cancer was obtained and among the 37 newly identified proteins several are likely candidates for the development of molecularly targeted therapies and include the nucleoside diphosphate kinase A, bifunctional ATP-dependent dihydroyacetone kinase and phosphatidylethanolamine-binding protein1, the latter being an inhibitor of the Raf-1 kinase.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1312-z) contains supplementary material, which is available to authorized users.

Plasma biomarkers of mouse aging

Normal aging is accompanied by a series of physiological changes such as gray hair, cataracts, reduced immunity, and increased susceptibility to disease. To identify novel biomarkers of normal aging, we analyzed plasma proteins of male mice longitudinally from 2 to 19 months of age. Plasma proteins were analyzed by two-dimensional gel electrophoresis and identified using mass spectrometry (MS), MS/MS and liquid chromatography MS/MS. We found that many plasma proteins exist as multiple isoforms with different masses and/or charges. Thirty-nine protein spots (corresponding to six distinct proteins) have been identified, 13 of which exhibited significant changes with age. For example, several proteins increased significantly during aging including one isoform of transthyretin, two isoforms of haptoglobin, and three isoforms of immunoglobulin kappa chain. Conversely, several proteins decreased significantly during aging including peroxiredoxin-2, serum amyloid protein A-1, and five isoforms of albumin. Identification of these proteins provides new biomarkers of normal aging in mice. If validated in humans, these biomarkers may facilitate therapeutic interventions to identify premature aging, delay aging, and/or improve healthspan of the elderly.

Combined serum and tissue proteomic study applied to a c-Myc transgenic mouse model of hepatocellular carcinoma identified novel disease regulated proteins suitable for diagnosis and therapeutic intervention strategies

Hepatocellular carcinoma (HCC) is the third leading cause of cancer death in the U.S. Notably, most HCCs display c-Myc hyperactivity but this transcription factor participates in the regulation of as many as 15-20% of genes of the human genome. To better understand its oncogenic activity, a mass spectrometry-based proteomic approach was employed to search for disease-regulated proteins in liver tissue and serum of c-Myc transgenic mice that specifically developed HCC. Overall, a total of 90 differentially expressed proteins were identified with retinol binding protein 4, transthyretin, major urinary protein family, apolipoprotein E, and glutathione peroxidase being regulated in common in tissue and serum of HCC mice. Importantly, this study identified n = 22 novel tumor tissue-regulated proteins to function in cell cycle and proliferation, nucleotide and ribosomal biogenesis, oxidative stress, and GSH metabolism, while bioinformatics revealed the coding sequences of regulated proteins to enharbour c-Myc binding sites. Translation of the findings to human disease was achieved by Western immunoblotting of serum proteins and by immunohistochemistry of human HCC. Taken collectively, our study helps to define a c-Myc proteome suitable for diagnostic and possible therapeutic intervention strategies.

Screening of differentially expressed low-abundance proteins among serum samples from patients with different HBV-related hepatic diseases by SELDI-TOF-MS

AIM: To screen differentially expressed low-abundance proteins among serum samples from patients with different HBV-related hepatic diseases and to evaluate their possible value in the diagnosis of these diseases.

METHODS: The surface-enhanced laser desorption or ionization time-of-flight mass spectroscopy (SELDI-TOF-MS) was used to screen differentially expressed proteins among serum samples, in which high-abundance proteins had been removed with acetonitrile, collected from patients with asymptomatic chronic hepatitis B (ASC), chronic hepatitis B (CHB), liver cirrhosis (LC), hepatocellular carcinoma (HCC), and normal controls. Diagnostic models for each disease were then established with differentially expressed proteins. Protein databases were searched to predict the possible structure and function of differentially expressed proteins.

RESULTS: Compared with the normal control group, 63 differentially expressed protein peaks were detected in the ASC group, of which 29 were up-regulated and 34 down-regulated (P < 0.05); 57 in the CHB group, of which 29 up-regulated and 34 down-regulated; 68 in the LC group, of which 33 up-regulated and 35 down-regulated; and 74 in the HCC group, of which 28 up-regulated and 46 down-regulated. A peak with a m/z of 15 889.8 corresponded to a protein whose expression was up-regulated gradually in an order of healthy controls, ASC, CHB and LC patients, and its expression level in the HCC group was lower than those in the CHB group and LC group. The expression of a protein with a m/z of 11 742.2 was higher in the LC group and HCC group than in other groups, and its expression was gradually increased in an order of healthy controls, CHB, and LC patients, or in another order of healthy controls, CHB, and HCC patients. The sensitivity and specificity using the protein peak at 11 742.2 for diagnosis of LC were 90% and 86.67% and for HCC were 93.33% and 83.33%, respectively.

CONCLUSION: Ten protein peaks with m/z values of 8 709.7, 13 759.8, 14 004.0, 15 361.89, 16 072.3, 2 746.8, 3 449.1, 3 941.06, 4 098.3, and 9 445.5 correspond to proteins that might be involved in HBV infection. The protein peak with a m/z of 15 889.8 might be used as a biomarker for early diagnosis of HBV-related liver cirrhosis, while that with a m/z of 11 742.2 might be an important biomarker for the development of HBV-related liver cirrhosis or HCC.

Expression and dynamic alteration of hepatoma-related growth factors during malignant transformation of hepatocytes

Hepatocellular carcinoma (HCC) is a common hepatic malignancy worldwide. Its nature of rapid growth results in a grave prognosis. Its treatment is challenging because the mechanisms underlying tumor progression are still largely unknown. Recently, new molecular targets have been confirmed and various targeted agents are now being investigated for the treatment of HCC. The progression of HCC is closely associated with expression of hepatic growth factors that may be molecular targets for HCC treatment. This paper concludes the expression characters and dynamic changes of several hepatoma-related growth factors such as IGF-Ⅱ, VEGF, TGF-β1 and HGF.