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PubMed2004

Cross-species global and subset gene expression profiling identifies genes involved in prostate cancer response to selenium.

BACKGROUND: Gene expression technologies have the ability to generate vast amounts of data, yet there often resides only limited resources for subsequent validation studies. This necessitates the ability to perform sorting and prioritization of the output data. Previously described methodologies have used functional pathways or transcriptional regulatory grouping to sort genes for further study. In this paper we demonstrate a comparative genomics based method to leverage data from animal models to prioritize genes for validation. This approach allows one to develop a disease-based focus for the prioritization of gene data, a process that is essential for systems that lack significant functional pathway data yet have defined animal models. This method is made possible through the use of highly controlled spotted cDNA slide production and the use of comparative bioinformatics databases without the use of cross-species slide hybridizations. RESULTS: Using gene expression profiling we have demonstrated a similar whole transcriptome gene expression patterns in prostate cancer cells from human and rat prostate cancer cell lines both at baseline expression levels and after treatment with physiologic concentrations of the proposed chemopreventive agent Selenium. Using both the human PC3 and rat PAII prostate cancer cell lines have gone on to identify a subset of one hundred and fifty-four genes that demonstrate a similar level of differential expression to Selenium treatment in both species. Further analysis and data mining for two genes, the Insulin like Growth Factor Binding protein 3, and Retinoic X Receptor alpha, demonstrates an association with prostate cancer, functional pathway links, and protein-protein interactions that make these genes prime candidates for explaining the mechanism of Selenium's chemopreventive effect in prostate cancer. These genes are subsequently validated by western blots showing Selenium based induction and using tissue microarrays to demonstrate a significant association between downregulated protein expression and tumorigenesis, a process that is the reverse of what is seen in the presence of Selenium. CONCLUSIONS: Thus the outlined process demonstrates similar baseline and selenium induced gene expression profiles between rat and human prostate cancers, and provides a method for identifying testable functional pathways for the action of Selenium's chemopreventive properties in prostate cancer.

Adenocarcinoma↗
PubMed2003

Gene expression profiling detects gene amplification and differentiates tumor types in breast cancer.

Global gene expression analysis using microarrays has been used to characterize the molecular profile of tumors. Gene expression variability at the mRNA level can be caused by a number of different events, including novel signaling, downstream activation of transcription enhancers or silencers, somatic mutation, and genetic amplification or deletion. Genomic amplifications are commonly observed in cancer and often include known oncogenes. The tyrosine kinase-type cell surface receptor, ERBB2, is an oncogene located on chromosome 17q21.1 that is amplified in 10-40% of breast tumors. We report for the first time that phenylethanolamine N-methyltransferase (PNMT), proteasome subunit, beta type 3 (PSMB3), ribosomal protein L19 (RPL19), and nuclear receptor subfamily 1, group D, member 1 (NR1D1) are coexpressed with ERBB2 in 34 breast cancer biopsies and also mapped within the same chromosomal location as the ERBB2 gene. Consistent with previous reports, we also observed that the steroidogenic acute regulatory protein-related gene, MLN64, and growth factor receptor bound protein 7 were coexpressed with ERBB2. Coexpression and colocalization of PNMT and MLN64 with ERBB2 suggested that the amplification of ERBB2 includes the chromosomal region harboring these genes. This hypothesis was validated in a subset of 12 biopsies. Gene amplification of ERBB2, PNMT, and MLN64 significantly correlated with increased mRNA gene expression (P < 0.05). These results suggest that gene expression profiling of breast biopsies may become a valuable method for adequately characterizing and choosing treatment modality for patients with breast cancer.

Breast Neoplasms↗
PubMed2004

DBRF-MEGN method: an algorithm for deducing minimum equivalent gene networks from large-scale gene expression profiles of gene deletion mutants.

MOTIVATION: Large-scale gene expression profiles measured in gene deletion mutants are invaluable sources for identifying gene regulatory networks. Signed directed graph (SDG) is the most common representation of gene networks in genetics and cell biology. However, no practical procedure that deduces SDGs consistent with such profiles has been developed. RESULTS: We developed the DBRF-MEGN (difference-based regulation finding-minimum equivalent gene network) method in which an algorithm deduces the most parsimonious SDGs consistent with expression profiles of gene deletion mutants. Positive (or negative) directed edges representing positive (or negative) gene regulations are deduced by comparing the gene expression level between the wild-type and mutant. The most parsimonious SDGs are deduced using graph theoretical procedures. Compensation for excess removal of edges by restoring a minimum number of edges makes the method applicable to cyclic gene networks. Use of independent groups of edges greatly reduces the computational cost, thus making the method applicable to large-scale expression profiles. We confirmed the applicability of our method by applying it to the gene expression profiles of 265 Saccharomyces cerevisiae deletion mutants, and we confirmed our method's validity by comparing the pheromone response pathway, general amino acid control system, and copper and iron homeostasis system deduced by our method with those reported in the literature. Interpretation of the gene network deduced from the S. cerevisiae expression profiles by using our method led to the prediction of 132 transcriptional targets and modulators of transcriptional activity of 18 transcriptional regulators. AVAILABILITY: The software is available on request.

Algorithms↗
PubMed2006

Gene expression profiling reveals stromal genes expressed in common between Barrett's esophagus and adenocarcinoma.

BACKGROUND & AIMS: Barrett's esophagus is a precursor of esophageal adenocarcinoma. DNA microarrays that enable a genome-wide assessment of gene expression enhance the identification of specific genes as well as gene expression patterns that are expressed by Barrett's esophagus and adenocarcinoma compared with normal tissues. Barrett's esophagus length has also been identified as a risk factor for progression to adenocarcinoma, but whether there are intrinsic biological differences between short-segment and long-segment Barrett's esophagus can be explored with microarrays. METHODS: Gene expression profiles for endoscopically obtained biopsy specimens of Barrett's esophagus or esophageal adenocarcinoma and associated normal esophagus and duodenum were identified for 17 patients using DNA microarrays. Unsupervised and supervised approaches for data analysis defined similarities and differences between the tissues as well as correlations with clinical phenotypes. RESULTS: Each tissue displays a unique expression profile that distinguishes it from others. Barrett's esophagus and esophageal adenocarcinoma express a unique set of stromal genes that is distinct from normal tissues but similar to other cancers. Adenocarcinoma also showed lower and higher expression for many genes compared with Barrett's esophagus. No difference in gene expression was found between short-segment and long-segment Barrett's esophagus. CONCLUSIONS: The genome-wide assessment provided by current DNA microarrays reveals many candidate genes and patterns not previously identified. Stromal gene expression in Barrett's esophagus and adenocarcinoma is similar, indicating that these changes precede malignant transformation.

Adenocarcinoma↗
PubMed2006

Biologically relevant effects of mRNA amplification on gene expression profiles.

BACKGROUND: Gene expression microarray technology permits the analysis of global gene expression profiles. The amount of sample needed limits the use of small excision biopsies and/or needle biopsies from human or animal tissues. Linear amplification techniques have been developed to increase the amount of sample derived cDNA. These amplified samples can be hybridised on microarrays. However, little information is available whether microarrays based on amplified and unamplified material yield comparable results. In the present study we compared microarray data obtained from amplified mRNA derived from biopsies of rat cardiac left ventricle and non-amplified mRNA derived from the same organ. Biopsies were linearly amplified to acquire enough material for a microarray experiment. Both amplified and unamplified samples were hybridized to the Rat Expression Set 230 Array of Affymetrix. RESULTS: Analysis of the microarray data showed that unamplified material of two different left ventricles had 99.6% identical gene expression. Gene expression patterns of two biopsies obtained from the same parental organ were 96.3% identical. Similarly, gene expression pattern of two biopsies from dissimilar organs were 92.8% identical to each other.Twenty-one percent of reporters called present in parental left ventricular tissue disappeared after amplification in the biopsies. Those reporters were predominantly seen in the low intensity range. Sequence analysis showed that reporters that disappeared after amplification had a GC-content of 53.7+/-4.0%, while reporters called present in biopsy- and whole LV-samples had an average GC content of 47.8+/-5.5% (P <0.001). Those reporters were also predicted to form significantly more (0.76+/-0.07 versus 0.38+/-0.1) and longer (9.4+/-0.3 versus 8.4+/-0.4) hairpins as compared to representative control reporters present before and after amplification. CONCLUSION: This study establishes that the gene expression profile obtained after amplification of mRNA of left ventricular biopsies is representative for the whole left ventricle of the rat heart. However, specific gene transcripts present in parental tissues were undetectable in the minute left ventricular biopsies. Transcripts that were lost due to the amplification process were not randomly distributed, but had higher GC-content and hairpins in the sequence and were mainly found in the lower intensity range which includes many transcription factors from specific signalling pathways.

Animals↗
PubMed2004

Gene expression profiling identifies genes associated with invasive intraductal papillary mucinous neoplasms of the pancreas.

The molecular pathology of intraductal papillary mucinous neoplasms (IPMNs) of the pancreas has not been well characterized, and there are no reliable markers to predict the presence of an associated invasive carcinoma in IPMNs. Using oligonucleotide microarrays, we performed a large-scale gene expression profiling of 12 IPMNs with or without an associated invasive carcinoma. A subset of genes identified was validated for the gene expression patterns in a large panel of IPMNs by reverse-transcription polymerase chain reaction and/or immunohistochemistry. A total of 673 transcripts were identified as expressed at significantly higher levels (P < 0.05 and at fivefold or greater) in IPMNs relative to normal pancreatic ductal epithelial samples. Of interest, many of the genes identified as overexpressed in IPMNs have also been previously reported to be highly expressed in infiltrating ductal adenocarcinoma of the pancreas. By analyzing genes overexpressed selectively in IPMNs with an associated invasive carcinoma (n = 7), we also identified a panel of genes potentially associated with the invasive phenotype of the neoplasms. Immunohistochemical validation revealed that claudin 4, CXCR4, S100A4, and mesothelin were expressed at significantly high frequency in invasive IPMNs than in noninvasive IPMNs. Notably, the expression of at least two of the four proteins was observed in 73% of 22 invasive IPMNs but in none of 16 noninvasive IPMNs (P < 0.0001). Our findings suggest that preoperative assessment of gene expression profiles may be able to differentiate invasive from noninvasive IPMNs.

Adenocarcinoma, Mucinous↗
PubMed2005

Gene expression profile analysis of mouse colon embryonic development.

During late embryogenesis, the mouse colon develops from a pseudostratified, undifferentiated endoderm to a single-layered columnar epithelium with accompanying mesenchymal maturation. To identify regulatory genetic programs underlying these morphological changes, we profiled gene expression of the developing mouse colon by microarray from embryonic day (E)13.5 to E18.5. Unbiased cluster analysis of 13,484 cDNA elements revealed two distinct groups of genes whose expression changes reflect the dynamic morphological events of the epithelium and mesenchyme during this period. Additional analyses revealed two subsets of genes whose expression is either upregulated or downregulated over the same developmental period. Of those genes whose expression increases from E13.5 to E18.5 (n = 158), known functions include acquisition and/or maintenance of colonic differentiation. Genes whose transcription is downregulated over this period (n = 49) have demonstrated roles in nuclear organization, transcriptional regulation, and cell proliferation. These results provide the basis for a molecular portrait of colonic development during late embryogenesis and should be a valuable resource for investigators interested in colonic development and neoplasia, as well as comparative organogenesis.

Animals↗
PubMed2005

Unique gene expression profile based on pathologic response in epithelial ovarian cancer.

PURPOSE: We investigated whether tumor tissue obtained at diagnosis expresses a specific gene profile that is predictive of findings at second-look surgery in patients with epithelial ovarian cancer (EOC). PATIENTS AND METHODS: Tumor tissue obtained at the time of diagnosis was profiled with oligonucleotide microarrays. Class prediction analysis was performed in a training set of 24 patients who had undergone a second-look procedure. The resultant predictive signature was then tested on an independent validation set comprised of 36 patients. RESULTS: A 93-gene signature referred to as the Chemotherapy Response Profile (CRP) was identified through its association with pathologic complete response. When applied to a separate validation set, the CRP distinguished between patients with unfavorable versus favorable overall survival (median 41 months v not yet reached, respectively, log-rank P = .007), with a median follow-up of 52 months. The signature maintained independent prognostic value in multivariate analysis, controlling for other known prognostic factors such as age, stage, grade, and debulking status. There was no genetic overlap between the CRP and our previously described Ovarian Cancer Prognostic Profile (OCPP), which demonstrated similar prognostic value. The combination of the CRP and OCPP yielded better prognostic discrimination then either profile alone. Genes present in the CRP include BAX, a proapoptotic protein previously associated with chemotherapy response in ovarian cancer. CONCLUSION: Identification of a gene expression profile based on pathologic response in EOC provides independent prognostic information and offers potential insights into the mechanism of drug resistance. Efforts to identify a more tailored profile using selected genes from both the CRP and OCPP are underway.

Adenocarcinoma, Clear Cell↗
PubMed2006

Gene expression profiling of target genes in ventilator-induced lung injury.

In the lungs, high-pressure mechanical ventilation induces an inflammatory response similar to that observed in acute respiratory distress syndrome. To further characterize these responses and to compare them with classical inflammatory pathways, we performed gene expression profiling analysis of 20,000 mouse genes in isolated blood-free (to exclude genes from sequestered leukocytes) perfused mouse lungs exposed to low-pressure ventilation (10 cmH2O), high-pressure ventilation (25 cmH2O, overventilation), and LPS treatment. A large number of inflammatory and apoptotic genes were increased by both overventilation and LPS. However, certain growth factor-related genes, as well as genes related to development, cellular communication, and the cytoskeleton, were only regulated by overventilation. We validated and confirmed increased mRNA expression pattern of five genes (amphiregulin, gravin, Nur77, Cyr61, interleukin-11) by real-time PCR; furthermore, we confirmed increased protein expression of amphiregulin by immunohistochemistry and immunoblotting assays. These genes represent novel candidate genes in ventilator-induced lung injury.

A Kinase Anchor Proteins↗
PubMed2003

Molecular pharmacology of cancer therapy in human colorectal cancer by gene expression profiling.

Global gene expression profiling has potential for elucidating the complex cellular effects and mechanisms of action of novel targeted anticancer agents or existing chemotherapeutics for which the precise molecular mechanism of action may be unclear. In this study, decreased expression of genes required for RNA and protein synthesis, and for metabolism were detected in rectal cancer biopsies taken from patients during a 5-fluorouracil infusion. Our observations demonstrate that this approach is feasible and can detect responses that may have otherwise been missed by conventional methods. The results suggested new mechanism-based combination treatments for colorectal cancer and demonstrated that expression profiling could provide valuable information on the molecular pharmacology of established and novel drugs.

Adult↗
PubMed2006

[Percentage of neoplastic cells in papillary thyroid carcinoma: implications for DNA microarray studies of gene expression profile].

Studies of gene expression profile using DNA microarray technology are usually performed using either tumor-derived sample material or isolated neoplastic cells obtained through microdissection. The scope of information about neoplastic transformation gained from studying profile of gene expression in microdissected samples would be much wider but collection of sufficient amounts of intact RNA is very difficult. A compromise could be reached by relating gene expression profile to percentage of neoplastic cells in the investigated tissue sample. The ratio of neoplastic cells in the investigated sample of papillary thyroid cancer was assessed through evaluation of approximated count of cell number in 10-18 examined image fields. This information was related to gene expression profiles obtained from DNA microarrays. The study involved 40 cases of papillary thyroid cancer; the percentage of PTC cells varied between 20 and 95% and only in half of the cases exceeded 75%. Correct differentiation of tumor and normal sample by means of gene expression profile was possible only when the percentage of tumor cells exceeded 25-30%. Seventeen genes showing the best correlation with the tumor cell numbers were selected and their classification potential was evaluated. Strength of information derived from gene expression profile studies by DNA microarrays in papillary thyroid cancer cells is very reliable and permits distinguishing correctly between normal and neoplastic tissues even when the percentage of cancer cells does not exceed 25-50%. However, the differentiation potential of gene expression profile is not markedly improved by selection of genes showing best correlation with the number of tumor cells.

Adolescent↗
PubMed2006

Gene expression profiles of the fibroblasts from breast tumors and normal tissue compared with the tumor expression profiles.

OBJECTIVE: The study was designed to examine whether the gene expression profiles of fibroblast cell lines, established from the tumor and the normal tissue from the same breast, exhibit any similarities with the profiles of the original tissues. METHODS: Fibroblast cell lines were established from invasive ductal carcinoma (IDC) and ductal carcinoma in situ (DCIS) of the breast and the adjacent normal tissues. Isolated total RNA from the cell lines and tissues were used to prepare labeled cDNA which was hybridized to Becton Dickinson Atlas microarrays for obtaining profiles of expressed genes. The profiles of tumors and cell lines were compared. This study was carried out at King Faisal specialist Hospital and Research Center, Riyadh, Kingdom of Saudi Arabia, during 2004 and 2005. RESULTS: Alterations of expression of most of the genes in the tissues were not detectable in the cell lines. The expression of a lower number of genes was altered in DCIS compared with that in IDC tumors. CONCLUSION: Although the fibroblasts discharge important functions, their gene expression profiles do not represent the breast tissue to the extent that any prognostic decisions could be made.

Adult↗
PubMed2002

Relation between resistance of Philadelphia-chromosome-positive acute lymphoblastic leukaemia to the tyrosine kinase inhibitor STI571 and gene-expression profiles: a gene-expression study.

BACKGROUND: The ABL tyrosine kinase inhibitor STI571 is a promising agent for treatment of advanced Philadelphia-chromosome-positive (Ph+) acute lymphoblastic leukaemia. However, resistance to this drug develops within a few months in most patients. We aimed to predict resistance to STI571. METHODS: Total RNA was extracted from 25 bone-marrow samples from 19 patients with Ph+ acute lymphoblastic leukaemia who were enrolled into a phase II study. 17 samples were obtained before STI571 treatment was started: ten from individuals who were classified as good responders to STI571 (sensitive), and seven from individuals who did not to respond to STI571 (primary resistance). Eight samples were obtained from patients during treatment with STI571. We analysed six matched samples, which were obtained before and during treatment with STI571. Oligonucleotide microarray analysis of samples was done with high-density microarrays. FINDINGS: We identified 95 genes whose expression could be used to predict sensitivity of leukaemic cells to STI571. On this basis, all the STI571-sensitive samples could clearly be distinguished from the resistant cases. 56 highly differentially expressed genes were identified in leukaemic cells that were secondarily resistant to STI571. Resistant leukaemic cells expressed high levels of Bruton's tyrosine kinase and two ATP synthetases (ATP5A1 and ATP5C1), and showed significantly reduced expression of the proapoptotic gene BAK1 and the cell-cycle control gene p15 INK4b. INTERPRETATION: We have shown the clinical relevance of gene expression data for the pretreatment assessment of acute lymphoblastic leukaemia. Our results have implications for future clinical studies of tyrosine kinase inhibitors.

Adult↗
PubMed2000

Gene expression profile in mouse myocardium after ischemia.

This study was designed to elaborate a molecular profile of expressed genes during ischemic injury to the mouse heart after surgical constriction of the left coronary artery without reperfusion. A mouse cDNA array containing 588 known genes was used to compare gene expression in heart RNA after 24-h ischemia with control tissue. Alterations in gene expression on the array were supported by relative reverse transcription-polymerase chain reaction analysis after timed periods of ischemia. Decreased levels of the cell cycle regulator p18ink4 and the oxidative responsive gene glutathione S-transferase were accompanied by an upregulation of the genes associated with cardiac muscle development, alpha-myosin heavy chain and fetal myosin alkali light chain. Other stress responses elicited by cardiac injury included an induction of Egr-1 and Egr-3 transcription factors, as well as the apoptotic regulator Bax. Altogether, these findings indicate that expression of genes associated with a fetal transcription program may be involved with the post ischemic remodeling process in heart ventricles.

Animals↗
PubMed2002

Differentially expressed gene profiles between multidrug resistant gastric adenocarcinoma cells and their parental cells.

To better understand the molecular mechanisms of multidrug resistance (MDR) of human cancers, we isolated differentially expressed genes from drug-resistant human gastric adenocarcinoma cell lines using a polymerase chain reaction-based subtractive hybridization technique. Sixty three genes were identified to be differentially expressed in the drug-resistant human gastric adenocarcinoma cell lines. Among the 63 up-regulated genes, 27 were known genes, of which two have been reported to be associated with MDR. The remaining ones were undefined genes or expressed sequenced tags. The results suggest that this strategy is efficient for large-scale cloning of differentially expressed genes in drug-resistant cells. Further characterization of these genes will shed more light on the understanding of molecular mechanisms of MDR of human cancer cells.

Adenocarcinoma↗
PubMed2004

Quantitative gene expression profiling implicates genes for susceptibility and resistance to alveolar bone loss.

Periodontal disease is one of the most prevalent chronic inflammatory diseases. There is a genetic component to susceptibility and resistance to this disease. Using a mouse model, we investigated the progression of alveolar bone loss by gene expression profiling of susceptible and resistant mouse strains (BALB/cByJ and A/J, respectively). We employed a novel and sensitive quantitative real-time PCR method to compare basal RNA transcription of a 48-gene set in the gingiva and the spleen and the subsequent changes in gene expression due to Porphyromonas gingivalis oral infection. Basal expression of interleukin-1 beta (Il1b) and tumor necrosis factor alpha (Tnf) mRNA was higher in the gingiva of the susceptible BALB/cByJ mice than in the gingiva of resistant A/J mice. Gingival Il1b gene expression increased further and Stat6 gene expression was turned on after P. gingivalis infection in BALB/cByJ mice but not in A/J mice. The basal expression of interleukin-15 (Il15) in the gingiva and the basal expression of p-selectin (Selp) in the spleen were higher in the resistant A/J mice than in the susceptible BALB/cByJ mice. In the resistant A/J mice the expression of no genes detectably changed in the gingiva after infection. These results suggest a molecular phenotype in which discrete sets of differentially expressed genes are associated with genetically determined susceptibility (Il1b, Tnf, and Stat6) or resistance (Il15 and Selp) to alveolar bone loss, providing insight into the genetic etiology of this complex disease.

Alveolar Bone Loss↗
PubMed2004

Gene expression profiling in human insulinoma tissue: genes involved in the insulin secretion pathway and cloning of novel full-length cDNAs.

Insulinoma is a clinically common cause of organic hypoglycemia. The prominent characteristic of insulinoma is endogenous hyperinsulinism. Until now, the molecular biology of human insulinoma has been little understood. In this study, gene expression profiling of human insulinoma was established by expressed sequence tag (EST) sequencing and cDNA array. A total of 2063 clones were obtained, of these, 1589 clones were derived from EST sequencing, 975 clones were derived from cDNA array and 501 clones were shared by the two methods. G protein alpha-stimulating activity polypeptide (Gsalpha) and carboxypeptidase E (CPE) were the most highly expressed genes in human insulinoma, as derived by EST sequencing and cDNA array respectively. The genes involved in the protein/insulin secretion pathway were strongly expressed in human insulinoma tissue. Meanwhile, eight full-length cDNAs of novel genes were cloned and sequenced. The results demonstrated the molecular biology of human insulinoma tissue at the level of transcript abundance and validated the efficacy of EST sequencing combined with cDNA array in the construction of gene expression profiling. In conclusion, the predominance of the genes participating in the secretory pathway suggested that regulation of secretion might be a major mechanism by which insulin release is abnormally increased in patients with insulinomas. It was also concluded that overexpression of the Gsalpha gene played an important role in the pathogenesis of insulinoma.

Cloning, Molecular↗
PubMed1999

Classification of small cell lung cancer and pulmonary carcinoid by gene expression profiles.

Small cell lung cancer is a common type of lung cancer that is generally classified within the spectrum of neuroendocrine lung neoplasms. Using high-density cDNA arrays, we profiled gene expression of small cell lung cancers and compared these expression profiles to those of normal bronchial epithelial cells and pulmonary carcinoids, which are classified as benign neuroendocrine tumors. We found the overall expression profiles of two small cell lung cancer cell lines, two microdissected tissue samples of primary small cell lung cancer, and cultured bronchial epithelial cells to be relatively similar to one another, with an average Pearson correlation coefficient for these comparisons of 0.63. However, we found the expression profiles of small cell lung cancers (and bronchial epithelial cells) to be surprisingly dissimilar to those of two samples of pulmonary carcinoid tumors, with an average correlation coefficient for these comparisons of 0.20. We then compared the pulmonary carcinoid expression profiles to those of two samples of infiltrating astrocytic brain cancers (oligodendroglioma and high-grade astrocytoma) and found similarity of gene expression among these four samples (average correlation coefficient, 0.57). These gene expression profiles suggest that small cell lung cancers are closely related to (and possibly derived from) epithelial cells, and that pulmonary carcinoids are related to neural crest-derived brain tumors. More generally, our results suggest that broad profiles of gene expression may reveal similarities and differences between tumors that are not apparent by traditional morphological criteria.

Carcinoid Tumor↗