Identification of molecular markers for the early detection of human squamous cell carcinoma of the uterine cervix

Analysis of PPI networks of transcriptomic expression identifies hub genes associated with Newcastle disease virus persistent infection in bladder cancer

Bladder cancer cells can acquire persistent infection of oncolytic Newcastle disease virus (NDV) but the molecular mechanism(s) remain unelucidated. This poses a major barrier to the effective clinical translation of oncolytic NDV virotherapy of cancers. To improve our understanding of the molecular mechanism(s) associated with the development of NDV persistent infection in bladder cancer, we used mRNA expression profiles of persistently infected bladder cancer cells to construct PPI networks. Based on paths and modules in the PPI network, the bridges were found mainly in the upregulated mRNA-pathways of p53 signalling, ECM-receptor interaction, and TGF-beta signalling and downregulated mRNA-pathways of antigen processing and presentation, protein processing in endoplasmic reticulum, completement and coagulation cascades in persistent TCCSUPPi cells. In persistent EJ28Pi cells, connections were identified mainly through upregulated mRNA-pathways of renal carcinoma, viral carcinogenesis, Ras signalling and cell cycle and the downregulated mRNA-pathways of Wnt signalling, HTLV-I infection and pathways in cancers. These connections were mainly dependent on RPL8-HSPA1A/HSPA4 in TCCSUPPi cells and EP300, PTPN11, RAC1-TP53, SP1, CCND1 and XPO1 in EJ28Pi cells. Oncomine validation showed that the top hub genes identified in the networks that include RPL8, THBS1, F2 from TCCSUPPi and TP53 and RAC1 from EJ28Pi are involved in the development and progression of bladder cancer. Protein-drug interaction networks identified several putative drug targets that could be used to disrupt the linkages between the modules and prevent bladder cancer cells from acquiring NDV persistent infection. This novel PPI network analysis of differentially expressed mRNAs of NDV persistently infected bladder cancer cell lines provide an insight into the molecular mechanisms of NDV persistency of infection in bladder cancers and the future screening of drugs that can be used together with NDV to enhance its oncolytic efficacy.

HIV-Associated Cancer Biomarkers: A Requirement for Early Diagnosis

Globally, HIV/AIDS and cancer are increasingly public health problems and continue to exist as comorbidities. The sub-Saharan African region has the largest number of HIV infections. Malignancies previously associated with HIV/AIDS, also known as the AIDS-defining cancers (ADCs) have been documented to decrease, while the non-AIDS defining cancer (NADCs) are on the rise. On the other hand, cancer is a highly heterogeneous disease and precision oncology as the most effective cancer therapy is gaining attraction. Among HIV-infected individuals, the increased risk for developing cancer is due to the immune system of the patient being suppressed, frequent coinfection with oncogenic viruses and an increase in risky behavior such as poor lifestyle. The core of personalised medicine for cancer depends on the discovery and the development of biomarkers. Biomarkers are specific and highly sensitive markers that reveal information that aid in leading to the diagnosis, prognosis and therapy of the disease. This review focuses mainly on the risk assessment, diagnostic, prognostic and therapeutic role of various cancer biomarkers in HIV-positive patients. A careful selection of sensitive and specific HIV-associated cancer biomarkers is required to identify patients at most risk of tumour development, thus improving the diagnosis and prognosis of the disease.

HumanaFly: high-throughput transgenesis and expression of breast cancer transcripts in Drosophila eye discovers the RPS12-Wingless signaling axis

Drosophila melanogaster has been a model for multiple human disease conditions, including cancer. Among Drosophila tissues, the eye development is particularly sensitive to perturbations of the embryonic signaling pathways, whose improper activation in humans underlies various forms of cancer. We have launched the HumanaFly project, whereas human genes expressed in breast cancer patients are screened for their ability to aberrate development of the Drosophila eye, hoping to thus identify novel oncogenes. Here we report identification of a breast cancer transgene, which upon expression in Drosophila produces eye malformation similar to the famous Glazed phenotype discovered by Thomas Morgan and decades later dissected to originate from mis-expression of Wingless (Wg). Wg is the ortholog of human Wnt proteins serving as ligands to initiate the developmental/oncogenic Wnt signaling pathway. Through genetic experiments we identified that this transgene interacted with the Wg production machinery, rather than with Wg signal transduction. In Drosophila imaginal discs, we directly show that the transgene promoted long-range diffusion of Wg, affecting expression of the Wg target genes. The transgene emerged to encode RPS12—a protein of the small ribosomal subunit overexpressed in several cancer types and known to also possess extra-ribosomal functions. Our work identifies RPS12 as an unexpected regulator of secretion and activity of Wnts. As Wnt signaling is particularly important in the context of breast cancer initiation and progression, RPS12 might be implicated in tumorigenesis in this and other Wnt-dependent cancers. Continuation of our HumanaFly project may bring further discoveries on oncogenic mechanisms.

Circular RNA hsa_circ_0006848 Related to Ribosomal Protein L6 Acts as a Novel Biomarker for Early Gastric Cancer

Objective

Circular RNAs (circRNAs) have been reported to be widely involved in pathological processes of various cancers. However, little is known about their diagnostic values in early gastric cancer (EGC). This study is aimed at exploring whether circulating circRNAs in plasma could act as biomarkers for EGC diagnosis.

Materials and Methods

Mass spectrometry (MS) was performed to identify the proteins that at significantly aberrantly levels in gastric cancer (GC) tissues. The target circRNA was identified by bioinformatics analysis. A receiver operating characteristic (ROC) curve was generated to evaluate the diagnostic utility.

Results

MS revealed that the ribosomal protein L6 (RPL6) expression was significantly downregulated only in EGC tissues vs. nontumorous tissues; this was validated by western blotting (n = 30, p = 0.0094). Bioinformatics analysis predicted that there is a hsa_circ_0006848/hsa_miR-329-5p/RPL6 axis in GC progression. The hsa_circ_0006848 expression was significantly downregulated in EGC tissues (vs. nontumorous tissues, n = 30, p = 0.0073) and plasma samples from EGC patients (vs. paired healthy volunteers, n = 30, p = 0.0089). In addition, the hsa_circ_0006848 plasma level in postoperative patients was significantly higher than that of preoperative patients (n = 30, p = 0.047). Furthermore, the decreased hsa_circ_0006848 expression in plasma was negatively correlated with poor differentiation (p = 0.037) and tumor size (p = 0.046). The area under the ROC curve (AUC) of hsa_circ_0006848 in plasma was 0.733, suggesting a good diagnostic value. The plasma hsa_circ_0006848 level combined with the carcinoembryonic antigen (CEA), carbohydrate-associated antigen 19-9 (CA19-9), and carbohydrate-associated antigen 72-4 (CA72-4) level increased the AUC to 0.825.

Conclusion

Our results indicated that plasma hsa_circ_0006848 may be a novel noninvasive biomarker in EGC diagnosis.

Identification of β-catenin target genes in colorectal cancer by interrogating gene fitness screening data

β-catenin regulates its target genes which are associated with proliferation, differentiation, migration and angiogenesis, and the dysregulation of Wnt/β-catenin signaling facilitates hallmarks of colorectal cancer (CRC). Identification of β-catenin targets and their potential roles in tumorigenesis has gained increased interest. However, the number of identified targets remains limited. The present study implemented a novel strategy, interrogating gene fitness profiles derived from large-scale RNA interference and CRISPR-CRISPR associated protein 9 screening data to identify β-catenin target genes in CRC cell lines. Using these data sets, pair wise gene fitness similarities were determined which highlighted a total of 13 genes whose functions were highly correlated with β-catenin. It was further demonstrated that the expression of these genes were altered in CRC, illustrating their potential roles in the progression of CRC. The present study further demonstrated that these targets could be used to predict disease-free survival in CRC. In conclusion, the findings provided novel approaches for the identification of β-catenin targets, which may become prognostic biomarkers or drug targets for the management of CRC.

Flavonoids Luteolin and Quercetin Inhibit RPS19 and contributes to metastasis of cancer cells through c-Myc reduction

Flavonoids luteolin and quercetin can inhibit growth and metastasis of cancer cells. In our previous report, luteolin and quercetin was shown to block Akt/mTOR/c-Myc signaling. Here, we found luteolin and quercetin reduced protein level and transactivation activity of RPS19 in A431-III cells, which is isolated from parental A431 (A431-P) cell line. Further investigation the inhibitory mechanism of luteolin and quercetin on RPS19, we found c-Myc binding sites on RPS19 promoter. The Akt inhibitor LY294002, mTOR inhibitor rapamycin and c-Myc inhibitor 10058-F4 significantly suppressed RPS19 expression and transactivation activities. Overexpression and knockdown of c-Myc in cancer cells show RPS19 expression was regulated by c-Myc. Furthermore, Knockdown and overexpression of RPS19 was used to analyze of the function of RPS19 in cancer cells. The epithelial-mesenchymal transition (EMT) markers and metastasis abilities of cancer cells were also regulated by RPS19. These data suggest that luteolin and quercetin might inhibit metastasis of cancer cells by blocking Akt/mTOR/c-Myc signaling pathway to suppress RPS19-activated EMT signaling.

Cancer molecular markers: A guide to cancer detection and management

Cancer is generally caused by the molecular alterations which lead to specific mutations. Advances in molecular biology have provided an impetus to the study of cancers with valuable prognostic and predictive significance. Over the hindsight various attempts have been undertaken by scientists worldwide, in the management of cancer; where, we have witnessed a number of molecular markers which allow the early detection of cancers and lead to a decrease in its mortality rate. Recent advances in oncology have led to the discovery of cancer markers that has allowed early detection and targeted therapy of tumors. In this context, current review provides a detail outlook on various molecular markers for diagnosis, prognosis and management of therapeutic response in cancer patients.

Quantitative mass spectrometry analysis reveals a panel of nine proteins as diagnostic markers for colon adenocarcinomas

Adenocarcinomas are cancers originating from the gland forming cells of the colon and rectal lining, and are known to be the most common type of colorectal cancers. The current diagnosis strategies for colorectal cancers include biopsy, laboratory tests, and colonoscopy which are time consuming. Identification of protein biomarkers could aid in the detection of colon adenocarcinomas (CACs). In this study, tissue proteome of colon adenocarcinomas (n = 11) was compared with the matched control specimens (n = 11) using isobaric tags for relative and absolute quantitation (iTRAQ) based liquid chromatography-mass spectrometry (LC-MS/MS) approach. A list of 285 significantly altered proteins was identified in colon adenocarcinomas as compared to its matched controls, which are associated with growth and malignancy of the tumors. Protein interaction analysis revealed the association of altered proteins in colon adenocarcinomas with various transcription factors and their targets. A panel of nine proteins was validated using multiple reaction monitoring (MRM). Additionally, S100A9 was also validated using immunoblotting. The identified panel of proteins may serve as potential biomarkers and thereby aid in the detection of colon adenocarcinomas.

Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning-based early diagnosis and proposes novel diagnostic and prognostic biomarkers

Although many outstanding achievements in the management of cervical cancer (CxCa) have obtained, it still imposes a major burden which has prompted scientists to discover and validate new CxCa biomarkers to improve the diagnostic and prognostic assessment of CxCa. In this study, eight different gene expression data sets containing 202 cancer, 115 cervical intraepithelial neoplasia (CIN), and 105 normal samples were utilized for an integrative systems biology assessment in a multi-stage carcinogenesis manner. Deep learning-based diagnostic models were established based on the genetic panels of intrinsic genes of cervical carcinogenesis as well as on the unbiased variable selection approach. Survival analysis was also conducted to explore the potential biomarker candidates for prognostic assessment. Our results showed that cell cycle, RNA transport, mRNA surveillance, and one carbon pool by folate were the key regulatory mechanisms involved in the initiation, progression, and metastasis of CxCa. Various genetic panels combined with machine learning algorithms successfully differentiated CxCa from CIN and normalcy in cross-study normalized data sets. In particular, the 168-gene deep learning model for the differentiation of cancer from normalcy achieved an externally validated accuracy of 97.96% (99.01% sensitivity and 95.65% specificity). Survival analysis revealed that ZNF281 and EPHB6 were the two most promising prognostic genetic markers for CxCa among others. Our findings open new opportunities to enhance current understanding of the characteristics of CxCa pathobiology. In addition, the combination of transcriptomics-based signatures and deep learning classification may become an important approach to improve CxCa diagnosis and management in clinical practice.

O-GlcNAcylation: a bridge between glucose and cell differentiation

Glucose is the major energy supply and a critical metabolite for most cells and is especially important when cell is differentiating. High or low concentrations of glucose enhances or inhibits the osteogenic, chondrogenic and adipogenic differentiation of cell via the insulin, transforming growth factor‐β and peroxisome proliferator‐activated receptor γ pathways, among others. New evidence implicates the hexosamine biosynthetic pathway as a mediator of crosstalk between glucose flux, cellular signalling and epigenetic regulation of cell differentiation. Extracellular glucose flux alters intracellular O‐GlcNAcylation levels through the hexosamine biosynthetic pathway. Signalling molecules that are important for cell differentiation, including protein kinase C, extracellular signal‐regulated kinase, Runx2, CCAAT/enhancer‐binding proteins, are modified by O‐GlcNAcylation. Thus, O‐GlcNAcylation markedly alters cell fate during differentiation via the post‐transcriptional modification of proteins. Furthermore, O‐GlcNAcylation and phosphorylation show complex interactions during cell differentiation: they can either non‐competitively occupy different sites on a substrate or competitively occupy a single site or proximal sites. Therefore, the influence of glucose on cell differentiation via O‐GlcNAcylation offers a potential target for controlling tissue homoeostasis and regeneration in ageing and disease. Here, we review recent progress establishing an emerging relationship among glucose concentration, O‐GlcNAcylation levels and cell differentiation.

Biomarkers of HIV-associated Cancer

Cancer biomarkers have provided great opportunities for improving the management of cancer patients by enhancing the efficiency of early detection, diagnosis, and efficacy of treatment. Every cell type has a unique molecular signature, referred to as biomarkers, which are identifiable characteristics such as levels or activities of a myriad of genes, proteins, or other molecular features. Biomarkers can facilitate the molecular definition of cancer, provide information about the course of cancer, and predict response to chemotherapy. They offer the hope of early detection as well as tracking disease progression and recurrence. Current progress in the characterization of molecular genetics of HIV-associated cancers may form the basis for improved patient stratification and future targeted or individualized therapies. Biomarker use for cancer staging and personalization of therapy at the time of diagnosis could improve patient care. This review focuses on the relevance of biomarkers in the most common HIV-associated malignancies, namely, Kaposi sarcoma, non-Hodgkin’s lymphoma, and invasive cervical cancer.

Overexpression, purification, molecular characterization and the effect on tumor growth of ribosomal protein L22 from the Giant Panda (Ailuropoda melanoleuca)

The ribosomal protein L22 (RPL22) protein belongs to the L22E family of ribosomal proteins. It is located in the cytoplasm. The purpose of this paper was to explore the structure and anti-cancer function of RPL22 of the Giant Panda (Ailuropoda melanoleuca). The cDNA of RPL22 was cloned successfully from the Giant Panda using RT-PCR technology. We constructed a recombinant expression vector containing RPL22 cDNA and over-expressed it in Escherichia coli using pET28a plasmids. The expression product obtained was purified by using Ni chelating affinity chromatography. The result indicated that the length of the fragment cloned is 414 bp, and it contains an open-reading frame of 387 bp encoding 128 amino acids. Primary structure analysis revealed that the molecular weight of the putative RPL22 protein is 14.74 kDa with a theoretical pI 9.21. The RPL22 gene can be really expressed in E. coli and the RPL22 protein, fusioned with the N-terminally His-tagged protein, gave rise to the accumulation of an expected 20.1 kDa polypeptide. The data showed that the recombinant protein RPL22 had a time- and dose-dependency on the cell growth inhibition rate. The human laryngeal carcinoma Hep-2 cells treated with 0.05-6 μg/ml of RPL22 for 24 h displayed significant cell growth inhibition (p<0.05, n=8) in assayed using MTT compared to the control (untreated) cells. The data indicate that the effect at low concentrations is better than high concentrations, and the concentration of 1.5 μg/ml has the best rate of growth inhibition of 47.70%. The inhibitory rate in mice treated with 1.5 μg/ml RPL22 protein can reach 43.75%. Histology of tumor organs shows that the tissues arranged looser in RPL22 group than those in control group. Meanwhile, there is no obvious damage to other organs, such as heart, lung and kidney. Further research is on going to determine the bioactive principle(s) of recombinant protein RPL22 responsible for its anticancer activity.

RPS12-specific shRNA inhibits the proliferation, migration of BGC823 gastric cancer cells with S100A4 as a downstream effector

Our previous study using suppression subtractive hybridization (SSH), cDNA microarray and semi-quantitative RT-PCR showed that RPS12 was overexpressed in gastric cancer and it was closely related to metastasis. However, the role of RPS12 in gastric cancer is not clear, which led us to conduct the current study to further investigate the effects of RPS12 on the proliferation and migration of gastric cancer cells, and also to explore the underlying molecular mechanisms. RNA interference was used to inhibit the expression of RPS12. The expression of RPS12 and S100A4 in gastric cancer cells was determined using semi-quantitative RT-PCR and western blot analysis. Cell proliferation and migration were detected by MTT and transwell assay, respectively. In addition, the promoter activity of S100A4 was measured by a Dual-Luciferase Reporter Assay System. We found that RNAi‑mediated RPS12 downregulation led to reduced proliferation and migration of BGC823 and SGC7901 gastric cancer cells. Further results showed that RPS12 inhibition led to reduced S100A4 expression and decreased promoter activity of S100A4 in BGC823 cells. We demonstrated that ectopic expression of S100A4 reversed the reduced proliferation and migration ability after RPS12 inhibition in BGC823 cells. Our findings provide the first demonstration that RPS12 plays important roles in regulating the proliferation and migration of gastric cancer cells. S100A4 can mediate the effects of RPS12 as a downstream effector.

Downregulation of RPL6 by siRNA inhibits proliferation and cell cycle progression of human gastric cancer cell lines

Our previous study revealed that human ribosomal protein L6 (RPL6) was up-regulated in multidrug-resistant gastric cancer cells and over-expression of RPL6 could protect gastric cancer from drug-induced apoptosis. It was further demonstrated that up-regulation of RPL6 accelerated growth and enhanced in vitro colony forming ability of GES cells while down-regulation of RPL6 exhibited the opposite results. The present study was designed to investigate the potential role of RPL6 in therapy of gastric cancer for clinic. The expression of RPL6 and cyclin E in gastric cancer tissues and normal gastric mucosa was evaluated by immunohistochemisty. It was found that RPL6 and cyclin E were expressed at a higher level in gastric cancer tissues than that in normal gastric mucosa and the two were correlative in gastric cancer. Survival time of postoperative patients was analyzed by Kaplan- Meier analysis and it was found that patients with RPL6 positive expression showed shorter survival time than patients that with RPL6 negative expression. RPL6 was then genetically down-regulated in gastric cancer SGC7901 and AGS cell lines by siRNA. It was demonstrated that down-regulation of RPL6 reduced colony forming ability of gastric cancer cells in vitro and reduced cell growth in vivo. Moreover, down-regulation of RPL6 could suppress G1 to S phase transition in these cells. Further, we evidenced that RPL6 siRNA down-regulated cyclin E expression in SGC7901 and AGS cells. Taken together, these data suggested that RPL6 was over-expressed in human gastric tissues and caused poor prognosis. Down-regulation of RPL6 could suppress cell growth and cell cycle progression at least through down-regulating cyclin E and which might be used as a novel approach to gastric cancer therapy.

Ribosomal proteins and colorectal cancer

The ribosome is essential for protein synthesis. The composition and structure of ribosomes from several organisms have been determined, and it is well documented that ribosomal RNAs (rRNAs) and ribosomal proteins (RPs) constitute this important organelle. Many RPs also fill various roles that are independent of protein biosynthesis, called extraribosomal functions. These functions include DNA replication, transcription and repair, RNA splicing and modification, cell growth and proliferation, regulation of apoptosis and development, and cellular transformation. Previous investigations have revealed that RP regulation in colorectal carcinomas (CRC) differs from that found in colorectal adenoma or normal mucosa, with some RPs being up-regulated while others are down-regulated. The expression patterns of RPs are associated with the differentiation, progression or metastasis of CRC. Additionally, the recent literature has shown that the perturbation of specific RPs may promote certain genetic diseases and tumorigenesis. Because of the implications of RPs in disease, especially malignancy, our review sought to address several questions. Why do expression levels or categories of RPs differ in different diseases, most notably in CRC? Is this a cause or consequence of the diseases? What are their possible roles in the diseases? We review the known extraribosomal functions of RPs and associated changes in colorectal cancer and attempt to clarify the possible roles of RPs in colonic malignancy.

Discovery and validation of prognostic markers in gastric cancer by genome-wide expression profiling

AIM: To develop a prognostic gene set that can predict patient overall survival status based on the whole genome expression analysis.

METHODS: Using Illumina HumanWG-6 BeadChip followed by semi-supervised analysis, we analyzed the expression of 47 296 transcripts in two batches of gastric cancer patients who underwent surgical resection. Thirty-nine samples in the first batch were used as the training set to discover candidate markers correlated to overall survival, and thirty-three samples in the second batch were used for validation.

RESULTS: A panel of ten genes were identified as prognostic marker in the first batch samples and classified patients into a low- and a high-risk group with significantly different survival times (P = 0.000047). This prognostic marker was then verified in an independent validation sample batch (P = 0.0009). By comparing with the traditional Tumor-node-metastasis (TNM) staging system, this ten-gene prognostic marker showed consistent prognosis results. It was the only independent prognostic value by multivariate Cox regression analysis (P = 0.007). Interestingly, six of these ten genes are ribosomal proteins, suggesting a possible association between the deregulation of ribosome related gene expression and the poor prognosis.

CONCLUSION: A ten-gene marker correlated with overall prognosis, including 6 ribosomal proteins, was identified and verified, which may complement the predictive value of TNM staging system.

MYC as a regulator of ribosome biogenesis and protein synthesis

MYC regulates the transcription of thousands of genes required to coordinate a range of cellular processes, including those essential for proliferation, growth, differentiation, apoptosis and self-renewal. Recently, MYC has also been shown to serve as a direct regulator of ribosome biogenesis. MYC coordinates protein synthesis through the transcriptional control of RNA and protein components of ribosomes, and of gene products required for the processing of ribosomal RNA, the nuclear export of ribosomal subunits and the initiation of mRNA translation. We discuss how the modulation of ribosome biogenesis by MYC may be essential to its physiological functions as well as its pathological role in tumorigenesis.

Cancer biomarkers: are we ready for the prime time?

A biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. In cancer, a biomarker refers to a substance or process that is indicative of the presence of cancer in the body. A biomarker might be either a molecule secreted by a tumor or it can be a specific response of the body to the presence of cancer. Genetic, epigenetic, proteomic, glycomic, and imaging biomarkers can be used for cancer diagnosis, prognosis and epidemiology. These markers can be assayed in non-invasively collected biofluids. However, few cancer biomarkers are highly sensitive and specific for cancer detection at the present time. Consequently, biomarkers are not yet ready for routine use due to challenges in their clinical validation for early disease detection, diagnosis and monitoring to improve long-term survival of patients.

Ribosomal protein L6 promotes growth and cell cycle progression through upregulating cyclin E in gastric cancer cells

Our previous study revealed that human ribosomal protein L6 (RPL6) was upregulated in multidrug-resistant gastric cancer cells and over-expression of RPL6 could protect gastric cancer cells from drug-induced apoptosis. The present study was designed to explore the role of RPL6 in tumorigenesis and development of gastric cancer. The expression of RPL6 in gastric cancer tissues and normal gastric mucosa was evaluated by immunohistochemical staining. It was found RPL6 was expressed at a higher level in gastric cancer tissues than that in normal gastric mucosa. RPL6 was then genetically overexpressed or knocked down in human immortalized gastric mucosa epithelial GES cells. It was demonstrated that upregulation of RPL6 accelerated the growth and enhanced in vitro colony forming ability of GES cells whereas downregulation of RPL6 showed adverse effects. Moreover, over-expression of RPL6 could promote G1 to S phase transition of GES cells. It was further evidenced that upregulation of RPL6 resulted in elevated cyclin E expression while downregulation of RPL6 caused decreased cyclin E expression in GES cells. Taken together, these data indicated that RPL6 was overexpressed in human gastric cancer and its over-expression could promote cell growth and cell cycle progression at least through upregulating cyclin E expression.

Cross-species hybridization of woodchuck hepatitis viral infection-induced woodchuck hepatocellular carcinoma using human, rat and mouse oligonucleotide microarrays

BACKGROUND AND AIM

We aimed to evaluate the transcriptional characteristics of viral infection-induced woodchuck hepatocellular carcinoma (HCC), to compare the use of human, rat and mouse gene arrays for cross-species hybridization, and to look into gene expression profiles in woodchuck HCC by the combined use of these arrays.

METHODS

Commercially available human, rat and mouse oligonucleotide microarrays were used to determine the gene expression profiles on the same woodchuck liver samples. Differentially expressed genes between HCC and the surrounding hepatic tissues found in the arrays were selected for quantitative reverse transcription polymerase chain reaction.

RESULTS

Despite the difference in the number of the probes from each array, the percentage of genes that were detectable was similar. Stringent microarray data analysis using both supervised and unsupervised methods identified 281 differentially expressed genes via the human array with a false discovery rate (FDR) of 0.99%, 107 genes via the rat array with an FDR of 1.85% and 78 genes via the mouse array with an FDR of 7.41%. Eleven genes were differentially changed in all three arrays that include the upregulation of NPM1, H2AFZ, EEF1G, HNRPAB, RPS18, EIF5, CKS2, ARIH1, RPS12 and RPS10, and the downregulation of EGR1. The quantitative reverse transcription polymerase chain reaction with woodchuck-specific primers confirmed the reliability of the microarray results.

CONCLUSION

This study further demonstrated the utility of cross-species hybridization of microarrays on woodchuck HCC. A combined use of three types of arrays identified more differential genes in HCC than individual arrays with the human array providing the richest information among the three arrays used.

Gene expression profiling in cervical cancer: identification of novel markers for disease diagnosis and therapy

Cervical cancer, a potentially preventable disease, remains the second most common malignancy in women worldwide. Human papillomavirus is the single most important etiological agent in cervical cancer. HPV contributes to neoplastic progression through the action of two viral oncoproteins E6 and E7, which interfere with critical cell cycle pathways, p53, and retinoblastoma. However, evidence suggests that HPV infection alone is insufficient to induce malignant changes and other host genetic variations are important in the development of cervical cancer. Advances in molecular biology and high throughput gene expression profiling technologies have heralded a new era in biomarker discovery and identification of molecular targets related to carcinogenesis. These advancements have improved our understanding of carcinogenesis and will facilitate screening, early detection, management, and personalised targeted therapy. In this chapter, we have described the use of high density microarrays to assess gene expression profiles in cervical cancer. Using this approach we have identified a number of novel genes which are differentially expressed in cervical cancer, including several genes involved in cell cycle regulation. These include p16ink4a, MCM 3 and 5, CDC6, Geminin, Cyclins A-D, TOPO2A, CDCA1, and BIRC5. We have validated expression of mRNA using real-time PCR and protein by immunohistochemistry.

Gene discovery in cervical cancer : towards diagnostic and therapeutic biomarkers

Cervical cancer is a potentially preventable disease; however, it remains the second most common malignancy in women worldwide. The human papillomavirus (HPV) is the single most important etiological agent in cervical cancer. HPV contributes to neoplastic progression through the action of two viral oncoproteins E6 and E7, which interfere with critical cell cycle pathways, tumor protein p53, and retinoblastoma protein. However, evidence suggests that HPV infection alone is insufficient to induce malignant changes, and other host genetic variations are important in the development of cervical cancer. Advances in molecular biology and high throughput technologies have heralded a new era in biomarker discovery and identification of molecular targets related to carcinogenesis. These advancements have improved our understanding of carcinogenesis and will facilitate screening, early detection, management, and personalized targeted therapy. A number of these developments and molecular targets associated with cervical cancer will be addressed in this review.

Quantitative gene expression assessment identifies appropriate cell line models for individual cervical cancer pathways

BACKGROUND

Cell lines have been used to study cancer for decades, but truly quantitative assessment of their performance as models is often lacking. We used gene expression profiling to quantitatively assess the gene expression of nine cell line models of cervical cancer.

RESULTS

We find a wide variation in the extent to which different cell culture models mimic late-stage invasive cervical cancer biopsies. The lowest agreement was from monolayer HeLa cells, a common cervical cancer model; the highest agreement was from primary epithelial cells, C4-I, and C4-II cell lines. In addition, HeLa and SiHa cell lines cultured in an organotypic environment increased their correlation to cervical cancer significantly. We also find wide variation in agreement when we considered how well individual biological pathways model cervical cancer. Cell lines with an anti-correlation to cervical cancer were also identified and should be avoided.

CONCLUSION

Using gene expression profiling and quantitative analysis, we have characterized nine cell lines with respect to how well they serve as models of cervical cancer. Applying this method to individual pathways, we identified the appropriateness of particular cell lines for studying specific pathways in cervical cancer. This study will allow researchers to choose a cell line with the highest correlation to cervical cancer at a pathway level. This method is applicable to other cancers and could be used to identify the appropriate cell line and growth condition to employ when studying other cancers.

Gene profiling in Pap-cell smears of high-risk human papillomavirus-positive squamous cervical carcinoma

OBJECTIVE

The purpose of the study was to investigate benign and malignant squamous cervical cells obtained by cervical swabs with regard to differentially expressed genes and gene expression profiling, in order to evaluate the biological behavior and clinical outcome of cervical malignancies.

METHODS

Cervical squamous cells from six women with high-risk human papillomavirus positive [HR-HPV(+)] cervical carcinoma and from six HPV-negative women with normal ectocervical cells were analyzed by cDNA array.

RESULTS

cDNA over-expression of several genes such as MET (c-met), Nm23-H1 (NME1), EGFR, KGFR, Nm23-H2 (NME2), ERBB2 (c-erbB-2), cyclin-dependent kinase inhibitor 4 (CDKN2A, p16INK4A), cytokeratin 8 (KRT8), KRAS (K-ras), FLT1, KGF (FGF7), BCL2-like 2 protein (BCL2L2), ERBB4, MYCN (N-myc), cyclin D1 (CCND1), KIT (c-kit), secreted phosphoprotein 1 (SPP1) and STAT1, was significant in cervical squamous cell carcinoma (CSCC). Gene expression was downregulated for 13 genes in CSCC, such as interleukin 1 alpha (IL1A), the transforming growth factor receptor beta superfamily (TGFbeta; TGFB), some members of the insulin-like growth factor binding proteins (IGFBPs) and the integrin family (ITGA6, ITGB1).

CONCLUSION

This study was focused on the gene expression profiling of HR-HPV(-) and (+) cervical squamous cells and CSCC obtained by cytobrush. We observed gene expression patterns and signaling pathways that permit the investigator to distinguish between benign squamous cervical cells and CSCC with and without HPV infection.

Comparative proteome analysis of breast cancer and adjacent normal breast tissues in human

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and matrix-assisted laser desorption/ionization tandem time-of-flight mass spectrometry (MALDI-TOF/TOF-MS), incorporated with online database searching, were performed to investigate differential proteins of breast cancer and adjacent normal breast tissues. Considering that serum albumin is abundantly presented in normal control samples, 15 differential spots detected in 11 out of 12 (91.7%) breast cancer samples were identified by online SIENA-2DPAGE database searching and MALDI-TOF/TOF-MS analysis. The results indicate that pathological changes of breast cancer are concerned with augmentation of substance metabolism, promotion of proteolytic activity, decline of activity of some inhibitors of enzymes, and so on. Some important proteins involved in the pathological process of breast cancer with changed expression may be useful biomarkers, such as alpha-1-antitrypsin, EF-1-beta, cathepsin D, TCTP, SMT3A, RPS12, and PSMA1, among which SMT3A, RPS12, and PSMA1 were first reported for breast cancer in this study.

Systemic analysis of the differential gene expression profile in a colonic adenoma-normal SSH library

BACKGROUND

The discovery of differentially expressed genes of colonic adenoma minus normal mucosa enables the understanding of early molecular events in colorectal carcinogenesis. In our previous study, we have developed an adenoma minus normal mucosa suppression subtractive hybridization (SSH) library and identified 109 differentially expressed clones.

METHODS

An in-house EST pipeline and the Gene Ontology web-based tool () were used to analyze these clones. Realtime quantitative RT-PCR (Q-PCR) was applied to detect the expression of 14-3-3 zeta, REG4 and 6 ribosomal protein genes (RPS2, RPS12, RPS27A, RPL5, RPL7a and RPL10a) in 14 adenomas (8 with concurrent cancers) and 44 colorectal adenocarcinomas with paired normal mucosa.

RESULTS

Sixty-two candidate genes were obtained from this library. Bioinformatics analysis indicated that both ribosomal protein genes and immune-related genes were enriched. REG4 was significantly upregulated in colorectal adenomas (medium fold: 1.676, p<0.05, Wilcoxon test) and 14-3-3 zeta in cancers (medium fold: 1.202, p<0.01, Wilcoxon test), as compared with those of paired normal mucosa. However, all ribosomal protein genes were not significantly overexpressed in colorectal adenomas or cancers.

CONCLUSIONS

A differential gene expression profile in A-N SSH library may be helpful in understanding the molecular mechanism of colorectal cancer initiation and progression. REG4 and 14-3-3 zeta may be potential biomarkers for early colorectal cancer detection.

Gene expression profiling in cervical cancer: an exploration of intratumor heterogeneity

PURPOSE

To explore intratumor heterogeneity in gene expression profiles from patients with cervical cancer.

EXPERIMENTAL DESIGN

A total of 33 biopsies were obtained from 11 patients, sampling between two and five different areas for each tumor. The extracted RNA was hybridized onto the Affymetrix U133 Plus 2.0 oligonucleotide chip. The variance of expression within a patient (W), between patients (B) and the total variance (T = W + B) were calculated for each ProbeSet, and the ratio W/T was used as a measure of intratumor heterogeneity. Gene Ontology functional analysis was done to assess the function of genes that had high W/T (top 10%) and low W/T (bottom 10%) values.

RESULTS

In total, 448 ProbeSets (2.2% of the total) had W/T < 0.10, indicating low intratumor heterogeneity, and 537 ProbeSets (2.7% of the total) had W/T > 0.90, indicating high intratumor heterogeneity. In total 14,473 ProbeSets (72.4%) had higher intertumor than intratumor heterogeneity (W/T < 0.5). Genes with low intratumor heterogeneity were characterized by a statistically significant enrichment of immune-related functions (P < 0.0001). Genes with high intratumor heterogeneity were characterized by a significant tendency towards nuclear localization and nucleic acid binding (both P < 0.0001). For genes with W/T > 0.5, more than six biopsies would be required to minimize the intratumoral heterogeneity to <0.15; if W/T is 0.3 to 0.4, four biopsies are required; and for low W/T of 0.16 to 0.3, only two to three biopsies would be needed.

CONCLUSION

Although the intratumor heterogeneity was low for the majority of the tested ProbeSets, for many genes, multiple biopsies are required to obtain a reliable estimate of gene expression.

Expression and functional study of ribosomal protein L5 in gastric cancer

AIM: To investigate the expression of ribosomal protein L15 (RPL5) in gastric cancer as well as its effect on the proliferation of gastric cancer cells.

METHODS: The expression of RPL5 was detected in gastric cancer cell lines AGS, MKN45, SGC7901 and MGC803 by Western blot. The specific siRNA vector of RPL5 was constructed and then transfected into AGS cells. The expression of RPL5 in the transfectants was examined by Western blot. The growth of transfected cells was evaluated by MTT assay and flow cytometry.

RESULTS: The expression of RPL5 in gastric cancer cell lines AGS, MKN45, SGC7901 and MGC803 were all significantly higher than that in GES-1 and normal epithelial cells of gastric mucosa. The specific siRNA vectors of RPL5, named U6-RPL5A and U6-RPL5B, were successfully constructed and transfected into AGS cells. U6-RPL5A could inhibit the expression of RPL5 significantly. The growth rate of U6-RPL5A transfected cells, named AGS-U6-RPL5A, was lower than the control cells, and the percentage of the cells that was in proliferation phase was decreased by about 5%.

CONCLUSION: RPL5 can inhibit the proliferation of gastric cancer cells, and further investigation of RPL5 function will be helpful in the diagnosis and treatment of gastric cancer.

Two-dimensional gel analysis of protein expression profile in squamous cervical cancer patients

OBJECTIVES

Screening in cervical cancer is progressing to find out candidate genes and proteins, which may work as biological markers and play a role in tumor progression. We examined the protein expression patterns of squamous cell carcinoma (SCC) tissues from Korean women using two-dimensional polyacrylamide gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization-time of fight (MALDI-TOF) mass spectrometer.

METHODS

Normal cervix and SCC tissues were solubilized and 2-DE was performed using the pH 3-10 linear IPG strips of 17 cm length and silver stained. Protein expression was evaluated using PDQuest 2-D software. The differentially expressed protein spots were identified with MALDI-TOF mass spectrometer and the peptide mass spectra identification was performed using Mascot program searching the Swiss-prot or NCBInr databases.

RESULTS

A total of 35 proteins were detected in SCC. 17 proteins were up-regulated and 18 proteins were down-regulated. Among the proteins identified, 12 proteins (pigment epithelium derived factor, annexin A2 and A5, keratin 19 and 20, heat shock protein 27, smooth muscle protein 22 alpha, alpha-enolase, squamous cell carcinoma antigen 1 and 2, glutathione S-transferase, apolipoprotein a1) were previously known proteins involved in tumor and 21 proteins were newly identified in this study.

CONCLUSIONS

2-DE offers total protein expression profiles of SCC tissues and further characterization of proteins that are differentially expressed will give a chance to identify tumor-specific diagnostic markers for SCC.

Identification of differentially regulated genes in bovine blastocysts using an annealing control primer system

The identification of embryo-specific genes would provide insights into early embryonic development. However, the current methods employed to identify the genes that are expressed at a specific developmental stage are labor intensive and suffer from high rates of false positives. Here we employed a new and accurate reverse transcription-polymerase chain reaction (RT-PCR) technology that involves annealing control primers (ACPs) to identify the genes that are specifically or prominently expressed in bovine early blastocysts and hatched blastocysts produced in vitro. Using these techniques, a total of nine expressed sequence tags (ESTs) of genes that were differentially expressed in hatched blastocysts, as compared to blastocyst embryos, were cloned and sequenced. The cloned genes or ESTs (C1-C9) all exhibited significant sequence similarity with known bovine genes (99-100%; FTL, RPS12, LAPTM4a, and RPL12) or ESTs (80-94%; AIBP, CULLIN-1, HDLP, COX5a, and RECS1) of other species. As revealed by real time RT-PCR, these genes were regulated upstream in the hatched blastocyst stage during early implantation. These results suggest that this new, PCR-based differential display RT-PCR technique is a very useful tool for the identification of stage-specific genes of preimplantation embryos.

cDNA array analysis of cytobrush-collected normal and malignant cervical epithelial cells: a feasibility study

Analysis of gene expression pattern is a useful approach to evaluating the biological behavior and clinical outcome of several human malignancies. Differentially expressed genes in malignant squamous cervical cells and the feasibility of gene expression profiling on squamous cervical cells obtained from cervical swabs were investigated. Cervical squamous cells from three women with high-risk human papilloma virus (HR-HPV) positive invasive squamous cervical carcinoma and from three HPV-negative women with normal ectocervical smears were analyzed with cDNA array. Immunoblot analysis was performed to detect the proteins corresponding to the highest upregulated genes with cDNA array. mRNA expression of ERBB2, KIT, FLT1, MYCN, RAS, CDKN2A, CCND1, NME1, NME2, MET, FGF7, FGFR2, and STAT1 was increased in malignant samples. Several expressed genes associated with antiapoptosis (such as BCL2), cell structuring, or cell attachment were also upregulated in carcinoma cells. Decreased gene expression was observed for members of the transforming growth factor receptor superfamily (TGF) and integrin family, interleukin 1 (IL1), and insulin-like growth factor binding proteins (IGFBPs). This study shows the feasibility of gene expression profiling of cervical squamous cells obtained with cytobrushes by identifying a characteristic gene expression pattern that clearly distinguishes between malignant and normal cervical epithelia of squamous type. We hypothesize that this noninvasive technique could be used in the evaluation of ambiguous Papanicolaou (PAP) smears.

Autoantibodies to Annexin XI-A and Other Autoantigens in the Diagnosis of Breast Cancer

We report on the identification of autoantigens commonly recognized by sera from patients with breast cancer. We selected ten sera from patients with invasive ductal carcinoma (IDC) of the breast with high titer IgG autoantibodies for biopanning of a T7 phage breast cancer cDNA display library. A high throughput method involved the assembly of 938 T7 phages encoding potential breast cancer autoantigens. Microarrays of positive phages were probed with sera from 90 patients with breast cancer [15 patients with ductal carcinoma in situ (DCIS) and 75 patients with IDC of the breast], with 51 non-cancer control sera and with sera from 21 patients with systemic autoimmune diseases. A 12-phage breast cancer predictor group was constructed with phage inserts recognized by sera from patients with breast cancer and not by non-cancer or autoimmune control sera (P < 0.0001). Several autoantigens including annexin XI-A, the p80 subunit of the Ku antigen, ribosomal protein S6, and other unknown autoantigens could significantly discriminate between breast cancer and non-cancer control sera. Biopanning with three different sera led to the cloning of partial cDNA sequences identical to annexin XI-A. IgG autoantibodies reacting with the amino acid 41-74 sequence of annexin XI-A were found in 19% of all women with breast cancer but in 60% of sera from women with DCIS of the breast. In addition, partial sequences identical to annexin XI-A, nucleolar protein interacting with the forkhead-associated (FHA) domain of pKi-67, the KIAA1671 gene product, ribosomal protein S6, cyclin K, elongation factor-2, Grb2-associated protein 2, and other unknown proteins could distinguish DCIS from IDC of the breast and appear to be potential biomarkers for the diagnosis of breast cancer.

Transcriptional activation of H- and N-ras oncogenes in human cervical cancer

OBJECTIVE

Overexpression of p21 protein has been detected in human cervical cancer. However, to date, there are no data on the differential activation of the three ras genes at the transcriptional level in cervical lesions. The purpose of this study was to evaluate the quantitative and qualitative changes of expression of the ras family genes in the development of human cervical cancer.

METHODS

The expression of ras mRNA levels in 35 human cervical specimens [11 normal cervix, 15 cervical intraepithelial neoplasia (CIN), 9 cervical cancer] was examined using the RT-PCR technique. In addition, we studied the incidence of point mutations in codon 12 of each ras gene using RFLP analysis and human papilloma virus (HPV) status.

RESULTS

The transcript levels for H-ras and N-ras were significantly higher in cancer cases compared to normal cervical tissues (P=0.0002 and P=0.001, respectively) and CIN lesions (P<0.0001 and P=0.002, respectively). The transcript levels for K-ras were similar in normal cervical tissue, CIN and cervical cancer. A strong positive correlation was found between H- and N-ras expression (P=0.001) and no correlation between H- and K- or N- and K-ras expression. Point mutations were detected only in three samples, located in codon 12 of K-ras gene. No relationship was found between expression levels of each ras gene and the presence of HPV.

CONCLUSION

Our findings indicate the expression pattern of the three ras genes in cervical tissue and the involvement of H- and N-ras up-regulation in the pathogenesis of cervical cancer independent of HPV infection.

Extra-Ribosomal Functions of the Ribosomal Protein, RPS3 as Predicted by In Silico Analysis

Products of ribosomal protein (RP) genes have been found to play extra-ribosomal roles that range from DNA repair to RNA splicing. Their association with congenital disorders or cancers has also been widely documented. However, the relatively large number of different RPs, each with perhaps unique biological roles, has compounded the comprehensive elucidation of the physiological functions of each RPs. Experimental functional studies on the many and variegated RPs are labour intensive, time-consuming and costly. Moreover, experimental studies unguided by theoretically insights entail inaccurate results. Therefore, knowledge on the actual roles of these proteins remains largely undefined. A valid alternative is the use of bioinformatics resources to computationally predict functional roles of these biomolecules. Findings from such in silico studies of the RPS3 are reported herein. We reveal an array of possible extra-ribosomal functions that includes regulation of transcription (including via NF-κB-mediated, POK-induced and DNA-dependent), regulation of p53 activities and its stabilisation, inflammatory immune response, modulation of nNOS activities, and anti-oxidative capabilities. Our findings provide computational prediction of de novo extra-ribosomal functions of RPS3. These results will enhance the theoretical basis for designing future experimental studies on elucidating its definitive physiological roles.