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[Towards the identification of new markers of pancreatic cancer by gene expression analysis].

The poor prognosis of pancreatic cancer has remained unchanged for many years, with a 5-year survival of less than 5 %. Current methods for diagnosing pancreatic cancer are inadequate at identifying small tumors that can be resected by surgery. Characterization of gene expression patterns in pancreatic cancer provided a list of genes that are specifically overexpressed in cancer cells. These genes are putative novel markers for the diagnosis and the prognosis of pancreatic cancer and for the development of targeted therapies. Gene expression analysis should lead to the discovery of molecular markers for early detection of pancreatic cancer that could benefit patients at high risk of developing pancreatic cancer.

Antigens, Neoplasm↗
PubMed2005

Cardiac troponin I, a possible predictor of survival in patients with stable congestive heart failure.

BACKGROUND: Cardiac troponin I (cTnI) has been validated as a sensitive and specific marker of myocyte damage, and is elevated in some patients with congestive heart failure. OBJECTIVE: To assess the relationship between elevated levels of cTnI and survival in stable patients with congestive heart failure. PATIENTS AND METHODS: It was assessed whether detectable serial levels of cTnI were associated with mortality in 211 patients with stable, severe heart failure at entry and one month into the Prospective Randomized Flosequinan Longevity Evaluation (PROFILE) study. Of these patients, 66 also had measurements taken at 12 months. RESULTS: Patients were New York Heart Association (NYHA) class III (n=197) or IV (n=14), with a baseline left ventricular ejection fraction of 22+/-7% (range 8% to 35%). Patients with a detectable level of cTnI at one month had an increased mortality (OR 2.608 [95% CI 1.061 to 6.409]; P=0.037). The association between mortality and detectable cTnI levels at baseline or 12 months did not reach statistical significance. Patients with a cTnI level that rose or remained elevated between baseline and one month had a higher mortality rate (50%) than those in whom the cTnI level fell (9%) between baseline and one month (P=0.025). In a multivariate model of survival that included sex, treatment, age, left ventricular ejection fraction, NYHA class and creatinine, only detectable levels of cTnI at one month were associated with survival (P=0.037). CONCLUSIONS: cTnI is released in stable, chronic heart failure and is associated with a poor prognosis, independent of other important risk factors. The risk is particularly elevated when detectable cTnI levels rise or remain elevated over time.

Adult↗
PubMed2004

Splicing factors are differentially expressed in tumors.

Although alternative splicing of many genes has been found associated with different stages of tumorigenesis and splicing variants have been characterized as tumor markers, it is still not known whether these examples are sporadic or whether there is a broader association between the two phenomena. In this report we evaluated, through a bioinformatics approach, the expression of splicing factors in both normal and tumor tissues. This was possible by integrating data produced by proteomics, serial analysis of gene expression (SAGE) and microarray experiments. We observed a significant shift in the expression of splicing factors in tumors in both SAGE and microarray data, resulting from a large amount of experiments. We discuss that this supports the notion of a broader association between alternative splicing and cell transformation, and that splicing factors may be involved in oncogenic pathways.

Alternative Splicing↗
PubMed2005

Stage-specific characterization of the vascular endothelial growth factor axis in prostate cancer: expression of lymphangiogenic markers is associated with advanced-stage disease.

PURPOSE: The vascular endothelial growth factor (VEGF) family plays a critical role in tumor angiogenesis and lymphangiogenesis. We characterized, at the mRNA and protein levels, the expression of VEGF-A and VEGF-D and their cognate receptors, VEGFR-1, VEGFR-2, and VEGFR-3 in early- and advanced-stage prostate cancer specimens. EXPERIMENTAL DESIGN: The levels of VEGF-A and VEGF-D mRNA in early- and advanced-stage specimens were compared using an angiogenic gene array and were confirmed by quantitative real-time PCR. Receptor protein levels and activation status were determined by immunoblotting. Spatial expression of the proteins was evaluated using immunohistochemistry with fresh and archival tissues from benign prostatic hypertrophy specimens, early-stage prostate specimens, and advanced-stage metastatic specimens. Circulating plasma levels of these growth factors were measured using ELISAs. RESULTS: We observed that expression patterns of VEGF isotypes corresponded to the prostate cancer stage: high expression of angiogenic growth factor VEGF-A was observed in early-stage prostate specimens, whereas high expression of lymphangiogenic growth factor VEGF-D was associated with advanced-stage metastatic disease. All VEGF receptors were present at variable levels in all specimens, but their activation states varied in a stage-specific manner. VEGFR-1 and, to a limited extent, VEGFR-2 were activated in early-stage specimens, whereas VEGFR-2 and VEGFR-3 were activated in advanced-stage specimens. CONCLUSIONS: Our results suggest that lymphangiogenic markers, such as VEGF-D and VEGFR-2 and VEGFR-3, may be better than angiogenic markers as targets of therapeutic intervention in advanced-stage prostate disease.

Adenocarcinoma↗
PubMed2005

Alterations of lymphoid enhancer factor-1 isoform expression in solid tumors and acute leukemias.

Two major transcripts of lymphoid enhancer factor-1 (LEF-1) have been described. The long isoform with b-catenin binding domain functions as a transcriptional enhancer factor. The short isoform derives from an intronic promoter and exhibits dominant negative activity. Recently, alterations of LEF-1 isoforms distribution have been described in colon cancer. In the current study we employed a quantitative real-time reverse transcription PCR method (TaqMan) to analyze expression of LEF-1 isoforms in a large cohort of human tumor (n = 304) and tumor-free control samples (n = 56). The highest expression level of LEF-1 was found in carcinoma samples whereas brain cancer samples expressed little. Expression of LEF-1 was different in distinct cancer types. For example, the mRNA level of LEF-1 was lower in testicular tumor samples compared with tumor-free control samples. Besides epithelial cancers, significant LEF-1 expression was also found in hematopoietic cells. In hematological malignancies, overall LEF-1 level was higher in lymphocytic leukemias compared with myeloid leukemias and normal hematopoiesis. However, acute myeloid leukemia and acute lymphocytic leukemia showed a significantly increased fraction of the oncogenic LEF-1 compared with chronic lymphocytic leukemia and chronic myeloid leukemia. Taken together, these data suggest that LEF-1 is abundantly expressed in human tumors and the ratio of the oncogenic and the dominant negative short isoform altered not only in carcinomas but also in leukemia.

Biomarkers, Tumor↗
PubMed2005

[Study of gene differential display of hydatidiform moles].

OBJECTIVE: To screen the specific molecular maker of invasive hydatidiform moles (HM) by differential display analysis. METHODS: For dot hybridization, about 1.0 microg of each cDNA sample of invasive and non-invasive HM were labeled as probes using the Dig DNA labeling and Detection Kit (Boehringer Mannheim). The specific expression fragments of invasive HM recovered from PAGE gel were re-amplified by PCR, and the PCR products were dotted onto nylon membrane and hybridized by two probes of invasive and non-invasive HM cDNA respectively. Some fragments with a strong positive hybridization signal were cloned into the polylinker of lasmid PUC19 and were sequenced. The fragments' sequences were searched for homology in the NCBI data using the BLAST (Database: GenBank Human EST entries; Posted date:Aug 31, 2004; Number of letters in database: 1,697,659,032; Number of sequences in database: 3,677,722). RESULTS: The 20 fragments in 28 bands with specific expression in invasive HM were re-amplified, of which 13 showed positive hybridization signals, and 3 were cloned into the polylinker of lasmid PUC19. A fragment in the 3 was a new expressed sequence tag (EST) and the sequence was submitted to NCBI data (dbEST_Id: 10875704; GenBank_Accn: BM403211). CONCLUSION: There are more differences in gene expression between invasive and non-invasive HMs, and differential display analyses are of a potential significance to early diagnosis of invasive HM.

Adult↗
PubMed2005

[Mechanism of inhibiting the proliferation of prostate cancer by finasteride: a study using cDNA microarray].

OBJECTIVE: To screen the genes related to finasteride treatment that reduces the proliferation of prostate cancer cells. METHODS: The prostate cancer cells of the line LNCaP sensitive to finasteride treatment were cultured. Finasteride was added into the culture fluid. A cDNA microarray consisting of 96 human genes was used to identify the genes showing differential expression. RESULTS: Finasteride significantly inhibited the proliferation of the prostate cancer cells of the line LNCaP. Twenty-nine genes out of the 96 genes showed differential expression under finasteride treatment 11 were upregulated and 18 were down-regulated, including those significant in cell metabolism, proliferation, apoptosis, and cell signal transduction, such as AKR1B1, PTEN, NKX3.1, PMEPA1, PSA, and XRCC2. CONCLUSION: Inhibiting the proliferation of prostate cancer cells by finasteride may involve the cooperative effect of multiple genes and pathways.

Antigens, Neoplasm↗
PubMed2003

Can we identify cellular pathways implicated in cancer using gene expression data?

The cancer state of a cell is characterized by alterations of important cellular processes such as cell proliferation, apoptosis, DNA-damage repair, etc. The expression of genes associated with cancer related pathways, therefore, may exhibit differences between the normal and the cancerous states. We explore various means to find these differences. We analyze 6 different pathways (p53, Ras, Brca, DNA damage repair, NFkappab and beta-catenin) and 4 different types of cancer: colon, pancreas, prostate and kidney. Our results are found to be mostly consistent with existing knowledge of the involvement of these pathways in different cancers. Our analysis constitutes proof of principle that it may be possible to predict the involvement of a particular pathway in cancer or other diseases by using gene expression data. Such method would be particularly useful for the types of diseases where biology is poorly understood.

Biomarkers, Tumor↗
PubMed2006

Comparative in vivo evaluation of technetium and iodine labels on an anti-HER2 affibody for single-photon imaging of HER2 expression in tumors.

UNLABELLED: In vivo diagnosis with cancer-specific targeting agents that have optimal characteristics for imaging is an important development in treatment planning for cancer patients. Overexpression of the HER2 antigen is high in several types of carcinomas and has predictive and prognostic value, especially for breast cancer. A new type of targeting agent, the Affibody molecule, was described recently. An Affibody dimer, His6-(ZHER2:4)2 (15.4 kDa), binds to HER2 with an affinity of 3 nmol/L and might be used for the imaging of HER2 expression. The use of 99mTc might improve the availability of the labeled conjugate, and Tc(I)-carbonyl chemistry enables the site-specific labeling of the histidine tag on the Affibody molecule. The goals of the present study were to prepare 99mTc-labeled His6-(ZHER2:4)2 and to evaluate its targeting properties compared with the targeting properties of 125I-4-iodobenzoate-His6-(ZHER2:4)2 [125I-His6-(ZHER2:4)2]. METHODS: The labeling of His6-(ZHER2:4)2 with 99mTc was performed with an IsoLink kit. The specificity of 99mTc-His6-(ZHER2:4)2 binding to HER2 was evaluated in vitro with SK-OV-3 ovarian carcinoma cells. The comparative biodistributions of 99mTc-His6-(ZHER2:4)2 and 125I-His6-(ZHER2:4)2 in tumor-bearing BALB/c nu/nu mice were determined. RESULTS: The labeling yield for 99mTc-His6-(ZHER2:4)2 was approximately 60% (50 degrees C), and the radiochemical purity was greater than 97%. The conjugate was stable during storage and under histidine and cysteine challenges and demonstrated receptor-specific binding. The biodistribution study demonstrated tumor-specific uptake levels (percentage injected activity per gram of tissue [%IA/g]) of 2.6 %IA/g for 99mTc-His6-(ZHER2:4)2 and 2.3 %IA/g for 125I-His6-(ZHER2:4)2 at 4 h after injection. Both conjugates provided clear imaging of SK-OV-3 xenografts at 6 h after injection. The tumor-to-nontumor ratios were much more favorable for the radioiodinated Affibody. CONCLUSION: The use of Tc(I)-carbonyl chemistry enabled us to prepare a stable, site-specifically labeled 99mTc-His6-(ZHER2:4)2 conjugate that was able to bind to HER2-expressing cells in vitro and in vivo. The indirectly radioiodinated conjugate provided better tumor-to-liver ratios. The labeling of Affibody molecules with 99mTc should be investigated further.

Animals↗
PubMed2002

Proteomic analysis of lung adenocarcinoma: identification of a highly expressed set of proteins in tumors.

PURPOSE: The goal of this study was to identify potential protein markers in lung adenocarcinomas. EXPERIMENTAL DESIGN: A series of 93 lung adenocarcinomas (64 stage I and 29 stage III) and 10 uninvolved lung samples were examined for quantitative differences in protein expression using two-dimensional PAGE. Candidate proteins were identified using matrix-assisted laser desorption/ionization mass spectrometry or peptide sequencing. The levels of the individual isoforms of nine proteins found to be overexpressed in the lung tumors were examined. Potential mechanisms for overexpression were examined by comparing mRNA expression levels, assessed using oligonucleotide arrays, to the protein values in the same samples. RESULTS: Antioxidant enzyme AOE372, ATP synthase subunit d (ATP5D), beta1,4-galactosyltransferase, cytosolic inorganic pyrophosphatase, glucose-regulated M(r) 58,000 protein, glutathione-S-transferase M4, prolyl 4-hydroxylase beta subunit, triosephosphate isomerase, and ubiquitin thiolesterase (UCHL1) were identified as being significantly overexpressed in lung adenocarcinomas. The expression of these proteins was increased from 1.4- to 10.6-fold as compared with uninvolved lung tissue. The expression of the individual protein isoforms was correlated with 10 clinicopathological variables as well as with each gene's mRNA level in the same sample. Both isoforms of glucose-regulated M(r) 58,000 protein were found to be significantly correlated with their mRNA expression profiles (P < 0.05), indicating that increased transcription likely underlies the increased expression of these proteins. CONCLUSIONS: Two-dimensional PAGE and mass spectrometry can identify proteins showing increased expression in lung adenocarcinoma. The association of specific isoforms of these proteins with clinical variables and understanding the regulation of their expression will aid in determination of their potential use as biomarkers in this cancer.

Adenocarcinoma↗
PubMed2003

Overexpression of KIT in chromophobe renal cell carcinoma.

We analysed gene-expression profiles in 15 surgical specimens of conventional, papillary, and chromophobe renal cell carcinomas (RCCs) using high-density oligonucleotide arrays. From about 12,000 genes targeted by the array, 67 were upregulated specifically in each histological type of RCC. The oncogene KIT was one of the genes whose expression was upregulated specifically in chromophobe RCCs. Immunohistochemical analysis demonstrated the KIT gene product on the cell membrane of chromophobe RCC in all cases, although it was not detected in conventional RCCs or non-neoplastic kidneys except for weak staining in the cytoplasm of renal tubules. These results suggest that each histological subtype of RCC has a unique gene-expression profile, and in particular indicates for the first time that KIT could be a useful marker for chromophobe RCC. As overexpression of KIT might be involved in tumor growth, KIT could be a new therapeutic target in this special type of RCC.

Biomarkers, Tumor↗
PubMed2005

Altered metabolic profile in the frontal cortex of PS2APP transgenic mice, monitored throughout their life span.

The transgenic mouse line PS2APP (PS2N141I x APP(swe)) develops an age-related cognitive decline associated with severe amyloidosis, mimicking the pathophysiologic processes in Alzheimer disease (AD). In the quest for biomarkers to monitor, noninvasively, the progression of the disease, we used magnetic resonance imaging and 1H-spectroscopy to characterize PS2APP mice throughout their life span. Morphometric measurements revealed only small size differences to controls. The metabolic profile, however, showed clear indicators of hypometabolism with age in the PS2APP mice: both N-acetyl-aspartate and glutamate were significantly reduced in the older animals. These spectroscopic measures in vivo correlated well with the plaque load in the frontal cortex. A diagnostic test, based on these measures, reached 92% sensitivity and 82% specificity at age 20 months. These noninvasive biomarkers can be exploited in preclinical pharmaceutical research to cope with the high variability in transgenic animal models and to enhance the power of drug efficacy studies.

Age Factors↗
PubMed2006

Gene expression profiles of progressive pancreatic endocrine tumours and their liver metastases reveal potential novel markers and therapeutic targets.

The intrinsic nature of tumour behaviour (stable vs progressive) and the presence of liver metastases are key factors in determining the outcome of patients with a pancreatic endocrine tumour (PET). Previous expression profile analyses of PETs were limited to non-homogeneous groups or to primary lesions only. The aim of this study was to investigate the gene expression profiles of a more uniform series of sporadic, non-functioning (NF) PETs with progressive disease and, for the first time, their liver metastases, on the Affymetrix human genome U133A and B GeneChip set. Thirteen NF PET samples (eight primaries and five liver metastases) from ten patients with progressive, metastatic disease, three cell lines (BON, QGP and CM) and four purified islet samples were analysed. The same samples were employed for confirmation of candidate gene expression by means of quantitative RT-PCR, while a further 37 PET and 15 carcinoid samples were analysed by immunohistochemistry. Analysis of genes differentially expressed between islets and primaries and metastases revealed 667 up- and 223 down-regulated genes, most of which have not previously been observed in PETs, and whose gene ontology molecular function has been detailed. Overexpression of bridging integrator 1 (BIN1) and protein Z dependent protease inhibitor (SERPINA10) which may represent useful biomarkers, and of lymphocyte specific protein tyrosine kinase (LCK) and bone marrow stromal cell antigen (BST2) which could be used as therapeutic targets, has been validated. When primary tumours were compared with metastatic lesions, no significantly differentially expressed genes were found, in accord with cluster analysis which revealed a striking similarity between primary and metastatic lesions, with the cell lines clustering separately. We have provided a comprehensive list of differentially expressed genes in a uniform set of aggressive NF PETs. A number of dysregulated genes deserve further in-depth study as potentially promising candidates for new diagnostic and treatment strategies. The analysis of liver metastases revealed a previously unknown high level of similarity with the primary lesions.

Adult↗
PubMed2006

A molecular signature to discriminate dysplastic nodules from early hepatocellular carcinoma in HCV cirrhosis.

BACKGROUND & AIMS: Small liver nodules approximately 2 cm are difficult to characterize by radiologic or pathologic examination. Our aim was to identify a molecular signature to diagnose early hepatocellular carcinoma (HCC). METHODS: The transcriptional profiles of 55 candidate genes were assessed by quantitative real-time reverse-transcription polymerase chain reaction (RT-PCR) in 17 dysplastic nodules (diameter, 10 mm) and 20 early HCC (diameter, 18 mm) from HCV cirrhotic patients undergoing resection/transplantation and 10 nontumoral cirrhotic tissues and 10 normal liver tissues. Candidate genes were confirmed by quantitative RT-PCR in 20 advanced HCCs and by immunohistochemistry in 75 samples and validated in an independent set of 29 samples (dysplastic nodules [10] and small HCC [19; diameter, 20 mm]). RESULTS: Twelve genes were significantly, differentially expressed in early HCCs compared with dysplastic nodules (>2-fold change; area under the receiver operating characteristic curve > or =0.8): this included TERT, GPC3, gankyrin, survivin, TOP2A, LYVE1, E-cadherin, IGFBP3, PDGFRA, TGFA, cyclin D1, and HGF. Logistic regression analysis identified a 3-gene set including GPC3 (18-fold increase in HCC, P = .01), LYVE1 (12-fold decrease in HCC, P = .0001), and survivin (2.2-fold increase in HCC, P = .02), which had a discriminative accuracy of 94%. The validity of the gene signature was confirmed in a prospective testing set. GPC3 immunostaining was positive in all HCCs and negative in dysplastic nodules (22/22 vs 0/14, respectively, P < .001). Nuclear staining for survivin was positive in 12 of 13 advanced HCC cases and in 1 of 9 early tumors. CONCLUSIONS: Molecular data based on gene transcriptional profiles of a 3-gene set allow a reliable diagnosis of early HCC. Immunostaining of GPC3 confirms the diagnosis of HCC.

Biomarkers, Tumor↗
PubMed2002

Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients.

BACKGROUND: The low specificity of the prostate-specific antigen (PSA) test makes it a poor biomarker for early detection of prostate cancer (PCA). Because single biomarkers most likely will not be found that are expressed by all genetic forms of PCA, we evaluated and developed a proteomic approach for the simultaneous detection and analysis of multiple proteins for the differentiation of PCA from noncancer patients. METHODS: Serum samples from 386 men [197 with PCA, 92 with benign prostatic hyperplasia (BPH), and 96 healthy individuals], randomly divided into training (n = 326) and test (n = 60) sets, were analyzed by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry. The 124 peaks detected by computer analyses were analyzed in the training set by a boosting tree algorithm to develop a classifier for separating PCA from the noncancer groups. The classifier was then challenged with the test set (30 PCA samples, 15 BPH samples, 15 samples from healthy men) to determine the validity and accuracy of the classification system. RESULTS: Two classifiers were developed. The AdaBoost classifier completely separated the PCA from the noncancer samples, achieving 100% sensitivity and specificity. The second classifier, the Boosted Decision Stump Feature Selection classifier, was easier to interpret and used only 21 (compared with 74) peaks and a combination of 21 (vs 500) base classifiers to achieve a sensitivity and specificity of 97% for the test set. CONCLUSIONS: The high sensitivity and specificity achieved in this study provides support of the potential for SELDI, coupled with a bioinformatics learning algorithm, to improve the early detection/diagnosis of PCA.

Algorithms↗
PubMed2006

Transcriptional profiling suggests that Barrett's metaplasia is an early intermediate stage in esophageal adenocarcinogenesis.

To investigate the relationship between Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), we determined gene expression profiles of discrete pathological stages of esophageal neoplasia using a sequence-verified human cDNA microarray. Fifty one RNAs, comprising 24 normal esophagi (NE), 18 BEs, and nine EACs were hybridized to cDNA microarrays. Five statistical analyses were used for the data analysis. Genes showing significantly different expression levels among the three sample groups were identified. Genes were grouped into functional categories based on the Gene Ontology Consortium. Surprisingly, the expression pattern of BE was significantly more similar to EAC than to NE, notwithstanding the known histopathologic differences between BE and EAC. The pattern of NE was clearly distinct from that of EAC. Thirty-six genes were the most differentially modulated, according to these microarray data, in BE-associated neoplastic progression. Twelve genes were significantly differentially expressed in cancer-associated BE's plus EAC (as a single combined tissue group) vs noncancer-associated BE's. These genes represent potential biomarkers to diagnose EAC at its early stages. Our results demonstrate that molecular events at the transcriptional level in BE are remarkably similar to BE's-associated adenocarcinoma of the esophagus. This finding alarmingly implies that BE is biologically closer to cancer than to normal esophagus, and that the cancer risk of BE is perhaps higher than we had imagined. These findings suggest that changes modulated at the molecular biologic level supervene earlier than histologic changes, and that BE is an early intermediate stage in the process of EAC.

Adenocarcinoma↗
PubMed2007

Molecular classification of breast tumors: toward improved diagnostics and treatments.

Recent advances in gene expression profiling and other "omics" technologies have revolutionized cancer research and hold the potential of also revolutionizing clinical practice. These high-throughout approaches have radically changed our ability to study cells and tissues in a more comprehensive way. Combined with advanced bioinformatics and the possibility to simulate biological processes in computers, this field of "systems biology" allows us to study the organism as a whole entity. This chapter describes the molecular classification and characterization of breast tumors into distinct subtypes by using DNA microarrays and discusses the statistical relationships of the subgroups with clinical features of the disease.

BRCA1 Protein↗
PubMed2005

Toxicogenomic profiling of the hepatic tumor promoters indole-3-carbinol, 17beta-estradiol and beta-naphthoflavone in rainbow trout.

Indole-3-carbinol (I3C), from cruciferous vegetables, has been found to suppress or enhance tumors in several animal models. We previously reported that dietary I3C promotes hepatocarcinogenesis in rainbow trout (Oncorhynchus mykiss) at concentrations that differentially activated estrogen receptor (ER) or aryl hydrocarbon receptor (AhR)-mediated responses based on individual protein biomarkers. In this study, we evaluated the relative importance of these pathways as potential mechanisms for I3C on a global scale. Hepatic gene expression profiles were examined in trout after dietary exposure to 500 and 1500 ppm I3C and 3,3'-diindolylmethane (DIM), a major in vivo component of I3C, and were compared to the transcriptional signatures of two model hepatic tumor promoters: 17beta-estradiol (E2), an ER agonist, and beta-naphthoflavone, an AhR agonist. We demonstrate that I3C and DIM acted similar to E2 at the transcriptional level based on correlation analysis of expression profiles and clustering of gene responses. Of the genes regulated by E2 (fold change >or =2.0 or < or =0.50), most genes were regulated similarly by DIM (87-92%) and I3C (71%), suggesting a common mechanism of action. Of interest were upregulated genes associated with signaling pathways for cell growth and proliferation, vitellogenesis, and protein folding, stability, and transport. Other genes downregulated by E2, including those involved in acute-phase immune response, were also downregulated by DIM and I3C. Gene regulation was confirmed by qRT-PCR and Western blot. These data indicate I3C promotes hepatocarcinogenesis through estrogenic mechanisms in trout liver and suggest DIM may be an even more potent hepatic tumor promoter in this model.

Animals↗