Molecular techniques for studying gene expression in carcinogenesis

Arsenic and UVR co-exposure results in unique gene expression profile identifying key co-carcinogenic mechanisms

Changes in gene expression underlie many pathogenic endpoints including carcinogenesis. Metals, like arsenic, alter gene expression; however, the consequences of co-exposures of metals with other stressors are less understood. Although arsenic acts as a co-carcinogen by enhancing the development of UVR skin cancers, changes in gene expression in arsenic UVR co-carcinogenesis have not been investigated. We performed RNA-sequencing analysis to profile changes in gene expression distinct from arsenic or UVR exposures alone. A large number of differentially expressed genes (DEGs) were identified after arsenic exposure alone, while after UVR exposure alone fewer genes were changed. A distinct increase in the number of DEGs was identified after exposure to combined arsenic and UVR exposure that was synergistic rather than additive. In addition, a majority of these DEGs were unique from arsenic or UVR alone suggesting a distinct response to combined arsenic-UVR exposure. Globally, arsenic alone and arsenic plus UVR exposure caused a global downregulation of genes while fewer genes were upregulated. Gene Ontology analysis using the DEGs revealed cellular processes related to chromosome instability, cell cycle, cellular transformation, and signaling were targeted by combined arsenic and UVR exposure, distinct from UVR alone and arsenic alone, while others were related to epigenetic mechanisms such as the modification of histones. This result suggests the cellular functions we identified in this study may be key in understanding how arsenic enhances UVR carcinogenesis and that arsenic-enhanced gene expression changes may drive co-carcinogenesis of UVR exposure.

Development of novel diagnostic and prognostic molecular markers for sporadic colon cancer

Gene expression studies are informative about changes in colon cancer, increase understanding of the biology of tumorigenesis and aid in developing diagnostic and prognostic markers. In this review, expression techniques used to examine the multistage process of colon cancer are discussed. Many genes have been found to differ in expression between normal and tumorigenic states, as early as the seemingly normal colonic crypts. The clinical usefulness of markers varies with stage, ethnicity and anatomic location of colon cancer. Thus, combinations of markers can be used to develop an approach to molecularly screen and follow the progression of this prevalent cancer.

Subtractive hybridization analysis of gastric diseases-associated Helicobacter pylori identifies peptidyl-prolyl isomerase as a potential marker for gastric cancer

Helicobacter pylori, a microaerophilic Gram-negative bacterium, is known to cause chronic gastritis, peptic ulcer and gastric cancer. Genes that are present in certain isolates may determine strain-specific traits such as disease association and drug resistance. In order to understand the pathogenic mechanisms of gastric diseases, identify molecular markers of the diseases associated with H. pylori strains and provide clues for target treatment of H. pylori-related diseases, a subtracted DNA library was constructed from a gastric cancer-associated H. pylori strain and a superficial gastritis-associated H. pylori strain by suppression subtractive hybridization. The presence of gastric cancer-specific genes was identified by dot blot hybridization, DNA sequencing and PCR-based screening. Twelve gastric cancer-specific high-copy genes and nine low-copy genes were found in gastric cancer compared with the superficial gastritis strain. These genes were confirmed by PCR analysis of H. pylori isolates. Notably, peptidyl-prolyl cis-trans isomerase (PPIase) was detected positively in 11 out of 22 (50%) gastric cancer-associated H. pylori strains. In contrast, <24% of the H. pylori strains from superficial gastritis showed positive results. Given the potential role of PPIases in cell growth, apoptosis and oncogenic transformation, our results suggest that PPIase may represent a novel marker and potential therapeutic target for gastric cancer.

Quantitative gene expression profiles in real time from expressed sequence tag databases

An accumulation of expressed sequence tag (EST) data in the public domain and the availability of bioinformatic programs have made EST gene expression profiling a common practice. However, the utility and validity of using EST databases (e.g., dbEST) has been criticized, particularly for quantitative assessment of gene expression. Problems with EST sequencing errors, library construction, EST annotation, and multiple paralogs make generation of specific and sensitive qualitative arid quantitative expression profiles a concern. In addition, most EST-derived expression data exists in previously assembled databases. The Virtual Northern Blot (VNB) (http: //tlab.bu.edu/vnb.html) allows generation, evaluation, and optimization of expression profiles in real time, which is especially important for alternatively spliced, novel, or poorly characterized genes. Representative gene families with variable nucleotide sequence identity, tissue specificity, and levels of expression (bcl-xl, aldoA, and cyp2d9) are used to assess the quality of VNB's output. The profiles generated by VNB are more sensitive and specific than those constructed with ESTs listed in preindexed databases at UCSC and NCBI. Moreover, quantitative expression profiles produced by VNB are comparable to quantization obtained from Northern blots and qPCR. The VNB pipeline generates real-time gene expression profiles for single-gene queries that are both qualitatively and quantitatively reliable.

Salmonid microarrays identify intestinal genes that reliably monitor P deficiency in rainbow trout aquaculture

Nutrient-responsive genes can identify important metabolic pathways and evaluate optimal dietary levels. Using a 16K Salmo salar microarray, we identified in rainbow trout (Oncorhynchus mykiss) 21 potential phosphorus (P)-responsive genes, mainly involved in immune response, proteolysis or transport, whose expression levels changed in the intestine after 5 days of feeding a low-P (LP) diet. Diet-induced changes in the expression levels of several genes in each fish were tightly correlated with changes in serum P, and the changes persisted for an additional 15 days after dietary P deficiency. We then evaluated these and previously identified P-responsive genes under simulated farm conditions, and monitored the intestinal gene expression from 6 h to 7 days after the trout were switched from a sufficient-P (SP) diet to a LP diet (SP-->LP), and from a LP diet to a SP diet (LP-->SP). After 7 days, mean serum P decreased 0.14 mM/day for SP-->LP and increased 0.10 mm/day for LP-->SP. The mRNA abundance of the metalloendopeptidase meprin 1alpha (MEP1alpha), the Na(+)-dependent phosphate co-transporter (NaPi2b,SLC34A2), the sulfotransferase SULT2beta1 and carbonic anhydrase XIII genes all increased after SP-->LP and decreased after LP-->SP, suggesting that adaptive expression is reversible and correlated with dietary P. The duration of change in gene expression in response to SP-->LP was generally shorter than that of LP-->SP, suggesting potentially different mechanisms of adaptation to deficiency as opposed to excess. Diet-induced changes in mRNA abundance of other genes were either transient or modest. We identified, by heterologous microarray hybridization, new genes sensitive to perturbations in dietary P, and then showed that these genes can reliably monitor P deficiency under field conditions. Simultaneous changes in the expression of these P biomarkers could predict either P deficiency (to prevent economic losses to the farmers) or P excess (to prevent inadvertent pollution of nearby waters).

Gene activation by bioactive glasses

Bioactive glasses have been shown to regulate gene expression in both hard and soft tissue repair. New resorbable bioactive glass constructs are now being developed that can influence gene expression in the local environment by manipulating material properties such as the surface chemistry, topography and the release of dissolution ions. The success of these scaffolds, however, may depend upon a greater understanding of the bioactive glass stimulated gene expression pathways. This will allow the construction of tissue specific scaffolds with tailored surface chemistry, topography and ion release rates. This paper summarises the advances made in understanding gene expression in response to bioactive glasses and discusses the future steps required for further insights into these molecular mechanisms.

Diagnostic and prognostic value of cell-cycle regulatory genes in malignant thyroid neoplasms

BACKGROUND

Approximately 30% of patients with thyroid nodules have indeterminate or suspicious fine-needle aspiration (FNA) biopsy results. Because their risk of cancer is approximately 20%, these patients undergo thyroidectomy. We hypothesized that genes that regulate cell-cycle progression would be differentially expressed in malignant versus benign thyroid nodules and could serve as diagnostic markers and markers of disease aggressiveness.

METHODS

We used a cDNA array with 96 cell-cycle regulatory genes to identify differentially expressed genes in pooled benign versus malignant thyroid neoplasms. Genes up- or down-regulated by more than 2-fold in malignant thyroid neoplasms were further evaluated by real-time quantitative polymerase chain reaction (PCR) in 95 patients with hyperplastic nodules (n = 19), follicular adenoma (n = 19), follicular thyroid cancer (n = 19), the follicular variant of papillary thyroid cancer (n = 19), and papillary thyroid cancer (n = 19).

RESULTS

cDNA array analysis showed that cyclin B1, MCM5, MCM7, RAD9, ubiquitin C, CDK6, SKP2, and APAF1 were up-regulated in malignant thyroid neoplasms. Real-time quantitative PCR showed that MCM5, MCM7, and RAD9 mRNA expression were significantly higher in malignant than in benign thyroid neoplasms (< or = 0.0012). The combined use of MCM5, MCM7, and RAD9 mRNA expression had a sensitivity of 98.2% and a specificity of 65.7%. The level of MCM7 mRNA expression was higher in T4 than in T1, T2, and T3 differentiated thyroid cancers (P < 0.0127).

CONCLUSIONS

MCM5, MCM7, and RAD9 are overexpressed in malignant thyroid neoplasms of follicular cell origin. These genes may be useful markers of malignant thyroid neoplasms as an adjunct to FNA biopsy. MCM7 mRNA expression is higher in locally invasive differentiated thyroid cancer.

Gene-gene, gene-environment & multiple interactions in colorectal cancer

This review comprehensively evaluates the influence of gene-gene, gene-environment and multiple interactions on the risk of colorectal cancer (CRC). Methods of studying these interactions and their limitations have been discussed herein. There is a need to develop biomarkers of exposure and of risk that are sensitive, specific, present in the pathway of the disease, and that have been clinically tested for routine use. The influence of inherited variation (polymorphism) in several genes has been discussed in this review; however, due to study limitations and confounders, it is difficult to conclude which ones are associated with the highest risk (either individually or in combination with environmental factors) to CRC. The majority of the sporadic cancer is believed to be due to modification of mutation risk by other genetic and/or environmental factors. Micronutrient deficiency may explain the association between low consumption of fruit/vegetables and CRC in human studies. Mitochondrial modulation by dietary factors influences the balance between cell renewal and death critical in colon mucosal homeostasis. Both genetic and epigenetic interactions are intricately dependent on each other, and collectively influence the process of colorectal tumorigenesis. The genetic and environmental interactions present a good prospect and a challenge for prevention strategies for CRC because they support the view that this highly prevalent cancer is preventable.

An exercise to estimate differential gene expression in human cells

The expression of genes in cells of various tissue types varies considerably and is correlated with the function of a particular organ. The pattern of gene expression changes in diseased tissues, in response to therapy or infection and exposure to environmental mutagens, chemicals, ultraviolet light, and ionizing radiation. To better understand the disease at the molecular level, the alterations in gene expression can provide clues to identify the cellular pathways involved. There are a wide variety of techniques that have been developed to study differential gene expression. Most of these methodologies are technically challenging. We developed an exercise to examine and quantify differential gene expression based on reverse transcription-PCR. Our goal was to have this technique successfully performed by college level students. This technique is easy to perform and does not require the use of radioactive substances. We examined the ionizing radiation-induced changes in gene expression in human cells. After exposure to ionizing radiation, total RNA was isolated at 4, 8, 12, and 24 h. The RNA was converted to cDNA and subjected to PCR amplification using gene-specific primers and commercially available β-actin internal standards in a multiplex format. The differences in gene expression were quantified with freely available imaging software. This technique should have a wide application to investigate differential gene expression in a variety of organisms and under various experimental and treatment conditions.

Identification of differently expressed genes in human colorectal adenocarcinoma

AIM: To investigate the differently expressed genes in human colorectal adenocarcinoma.

METHODS: The integrated approach for gene expression profiling that couples suppression subtractive hybridization, high-throughput cDNA array, sequencing, bioinformatics analysis, and reverse transcriptase real-time quantitative polymerase chain reaction (PCR) was carried out. A set of cDNA clones including 1260 SSH inserts amplified by PCR was arrayed using robotic printing. The cDNA arrays were hybridized with florescent-labeled probes prepared from RNA of human colorectal adenocarcinoma (HCRAC) and normal colorectal tissues.

RESULTS: A total of 86 genes were identified, 16 unknown genes and 70 known genes. The transcription factor Sox9 influencing cell differentiation was downregulated. At the same time, Heat shock protein 10 KDis downregulated and Calmoulin is up-regulated.

CONCLUSION: Downregulation of heat shock protein 10 KD lost its inhibition of Ras, and then attenuated the Ras GTPase signaling pathway, increased cell proliferation and inhibited cell apoptosis. Down-regulated transcription factor So x 9 influences cell differentiation and cell-specific gene expression. Down-regulated So x 9 also decreases its binding to calmodulin, accumulates calmodulin as receptor-activated kinase and phosphorylase kinase due to the activation of PhK.

Identification and validation of commonly overexpressed genes in solid tumors by comparison of microarray data

Cancers originating from epithelial cells are the most common malignancies. No common expression profile of solid tumors compared to normal tissues has been described so far. Therefore we were interested if genes differentially expressed in the majority of carcinomas could be identified using bioinformatic methods. Complete data sets were downloaded for carcinomas of the prostate, breast, lung, ovary, colon, pancreas, stomach, bladder, liver, and kidney, and were subjected to an expression analysis using SAM. In each experiment, a gene was scored as differentially expressed if the q value was below 25%. Probe identifiers were unified by comparing the respective probe sequences to the Unigene build 155 using BlastN. To obtain differentially expressed genes within the set of analyzed carcinomas, the number of experiments in which differential expression was observed was counted. Differential expression was assigned to genes if they were differentially expressed in at least eight experiments of tumors from different origin. The identified candidate genes ADRM1, EBNA1BP2, FDPS, FOXM1, H2AFX, HDAC3, IRAK1, and YY1 were subjected to further validation. Using this comparative approach, 100 genes were identified as upregulated and 21 genes as downregulated in the carcinomas.

Gene expression profiles reveal that DCN, DIO1, and DIO2 are underexpressed in benign and malignant thyroid tumors

To investigate the molecular events involved in the pathogenesis and/or progression of thyroid tumors, we compared the gene expression profiles of three thyroid carcinoma cell lines, which represent major tumor subtypes of thyroid cancer and normal thyroid tissue. Using cDNA array methodology, we investigated the expression of 1807 open reading frame expressed sequence tags (ORESTES), selected from head and neck tumor libraries generated through the Brazilian Human Cancer Project-LICR/FAPESP. We found that 505 transcripts were differentially expressed in the thyroid carcinoma cell lines. Using a more stringent criterion, transcripts underexpressed or overexpressed more than fivefold in 1 of 3 or 3 of 3 carcinoma cell lines, a list of 55 ESTs were detected. Five candidate genes were further validated by quantitative polymerase chain reaction (qPCR) in an independent set of 52 thyroid tumors and 22 matched normal thyroid tissues. DCN was found underexpressed in a high percentage of the follicular thyroid adenomas, follicular thyroid carcinomas, and follicular variant of papillary thyroid carcinomas. DIO1 and DIO2 were underexpressed in nearly all papillary thyroid carcinomas. These genes not only could help to better define a tumor signature for thyroid tumors, but may, in part, also become useful as potential targets for thyroid tumor treatment.

Improved methods for extracting RNA from exfoliated human colonocytes in stool and RT-PCR analysis

In order to diagnose colon cancer at an earlier, more localized stage, there is a need to develop diagnostic markers (genes) which can detect early patterns of gene expression in exfoliated colonocytes shed in the stool during routine screening for this disease. An RNA-based detection is more pertinent than either a DNA-based or a protein-based method as a screening procedure, but it has not been widely used as a cancer screen because of the difficulty of handling and stabilizing the RNA molecule. We describe a method that permits extraction of intact nondegraded total RNA from human colonocytes in stool and from normal and malignant colon tissues (which were employed for comparison with stool). Because it utilizes commercially available kits, this method is simpler than other published methods and does not require isolation of messenger (m)RNA, thereby reducing the chances of contaminating the preparations with degrading nucleases, and even a small amount of isolated total RNA can be adequately reverse transcribed, making high-quality copy (c) DNA. This is followed by PCR (either qualitative end point or semiquantitative real-time) using colon cancer-specific gene primers. By routinely and systematically being able to perform quantitative gene expression measurements on noninvasive samples, the goal of this pilot work is to lay the groundwork for conducting a large clinical study to identify groups of selected genes whose expression is consistently altered at an early stage in the neoplastic process. Such work will permit noninvasive monitoring of at-risk patients through the analysis of their stool samples. Correct diagnosis will allow for surgical and/or other interventions before the tumor is well established and, thus, should decrease mortality from this preventable disease.

Construction and selection of subtracted cDNA library of mouse hepatocarcinoma cell lines with different lymphatic metastasis potential

AIM: In order to elucidate the molecular mechanism of lymphatic metastasis of hepatocarcinoma, we detected the difference of gene expression between mouse hepatocarcinoma cell lines Hca-F and Hca-P with different lymphatic metastasis potential.

METHODS: cDNA of Hca-F cells was used as a tester and cDNA of Hca-P cells was used as a driver. cDNAs highly expressed in Hca-F cells were isolated by the suppression subtractive hybridization (SSH) method. The isolated cDNA was cloned into T/A cloning vector. The ligation products were transformed into DH5 α competent cells. Individual clones were randomly selected and used for PCR amplification. Vector DNA from positive clones was isolated for sequencing.

RESULTS: There were 800 positive clones in amplified subtracted cDNA library. Random analysis of 160 clones with PCR showed that 95% of the clones contained 100-700 bp inserts. Analysis of 20 sequenced cDNA clones randomly picked from the SSH library revealed 4 known genes (mouse heat shock protein 84 ku, DNA helicase, ribosomal protein S13 ,ethanol induced 6 gene) and 3 expressed sequence tags (ESTs). Four cDNAs showed no homology and presumably represent novel genes.

CONCLUSION: A subtracted cDNA library of differentially expressed genes in mouse heptocarcinoma cell lines with different lymphatic metastasis potential was successfully constructed with SSH and T/A cloning techniques. The library is efficient and lays a solid foundation for searching new lymphatic metastasis related genes. The expression of mouse heat shock protein gene, DNA helicase and other 4 novel gene may be different between mouse heptocarcinoma cell lines with different lymphatic metastasis potential.

A new reverse transcription-polymerase chain reaction method for accurate quantification

BACKGROUND

Reverse transcription-polymerase chain reaction (RT-PCR) is a very sensitive technique to measure and to compare mRNA levels among samples. However, it is extremely difficult to maintain linearity across the entire procedure, especially at the step of PCR amplification. Specific genes have been used as baseline controls to be co-amplified with target genes to normalize the amplification efficiency, but development or selection of reliable controls itself has created a new challenge.

RESULTS

Here, we describe a new quantitative RT-PCR to compare two mRNA samples directly without the requirement of synthetic control DNAs for reference. First, chimeric RT primers carrying gene-specific and universal PCR priming sequences with or without a linker for size distinction were utilized to generate cDNAs. The size-different cDNAs were then combined in a single reaction for PCR amplification using the same primer set. The two amplified products were resolved and detected with gel electrophoresis and fluorescence imaging. Relative abundance of the two products was obtained after a baseline correction.

CONCLUSION

This methodology is simple and accurate as indicated by equal amplification efficiency throughout PCR cycling. It is also easily implemented for many existing protocols. In addition, parameters affecting RT linearity are characterized in this report.

Colon cancer: prevalence, screening, gene expression and mutation, and risk factors and assessment

Colon cancer detection at an early stage and identifying susceptible individuals can result in reduced mortality from this prevalent cancer. Genetic events leading to the development of this cancer involve a multistage progression of adenoma polyps to invasive metastatic carcinomas. Currently, there is no satisfactory screening method that is highly specific, sensitive, or reliable. Dietary patterns associated with the greatest increase in colon cancer risk are the ones that typify a diet rich in fat and calories, and low in vegetable, fruits, and fibers. Genetic susceptibility to environmental carcinogenesis must be factored into the risk assessment for this cancer. Many genes have been shown to be associated with increased expression and mutations in colorectal cancer patients. These genes have been reviewed; it is hoped that by carefully selecting a number of them, a molecular approach that is suitable for arriving at a tumorigenic expression index is developed, which will reliably detect this cancer at an early stage (i.e., before it metastasizes), especially in exfoliated samples (e.g., stool and blood), so that appropriate intervention strategies can be implemented. Illustrated herein is the utility of employing real-time reverse transcriptase polymerase chain reaction (RT-PCR) to quantitatively measure gene expression, and develop an index that is specific for this cancer, which if perfected may result in a reliable and sensitive screening technique for colorectal cancer detection.