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Catherine L Nutt

Publications and source records attributed to Catherine L Nutt.

13 recordsLinked to original sources
PubMed2006

Expression of oligodendroglial and astrocytic lineage markers in diffuse gliomas: use of YKL-40, ApoE, ASCL1, and NKX2-2.

The phenotypic heterogeneity of astrocytic and oligodendroglial tumor cells complicates establishing accurate diagnostic criteria, and lineage-specific markers would facilitate diagnosis of glioma subtypes. Based on data from the literature and from expression microarrays, we selected molecules relevant to gliogenesis and glial lineage specificity and then used immunohistochemistry to assess expression of these molecules in 55 diffuse gliomas, including 8 biphasic oligoastrocytomas, 21 oligodendrogliomas (all with 1p/19qloss), 21 astrocytomas, and 5 glioblastomas. For the astrocytic lineage markers (GFAP, YKL-40, and ApoE), GFAP expression was significantly higher in the astrocytic component of oligoastrocytomas compared with the oligodendroglial part; similar patterns were detected for YKL-40 and ApoE, although the differences were not significant. GFAP, YKL-40, and ApoE reliably distinguished grade II-III oligodendrogliomas from grade II-IV astrocytomas (p < 0.0001, p = 0.002, and p < 0.0001, respectively). Among the oligodendroglial lineage markers (Olig2, Sox10, ASCL1, and NKX2-2), ASCL1 and NKX2-2 displayed significantly different immunostaining between oligodendrogliomas and astrocytomas (p = 0.017 and 0.004, respectively), but none clearly differentiated between the 2 glial populations of oligoastrocytomas. In addition to GFAP, therefore, YKL-40, ApoE, ASCL1, and NKX2-2 represent promising tumor cell markers to distinguish oligodendrogliomas from astrocytomas.

Adipokines↗
PubMed2006

Activation of STAT3, MAPK, and AKT in malignant astrocytic gliomas: correlation with EGFR status, tumor grade, and survival.

Diffuse astrocytic gliomas are the most common human glial tumors with glioblastoma being the most malignant form. Epidermal growth factor receptor (EGFR) gene amplification is one of the most common genetic changes in glioblastoma and can lead to the activation of various downstream signaling molecules, including STAT3, MAPK, and AKT. In this study, we investigated the activation status of these 3 signaling molecules as well as wild-type (EGFRwt) and mutant (EGFRvIII) EGFR in 82 malignant astrocytic gliomas (55 glioblastomas and 27 anaplastic astrocytomas) using immunohistochemistry. The presence of EGFRwt, but not EGFRvIII, immunopositivity correlated significantly with prevalent EGFR gene amplification in glioblastomas. STAT3 and AKT activation correlated significantly with EGFR status, although the correlation for p-STAT3 was attributed exclusively to EGFRvIII. The distribution of these 3 activated molecules varied significantly with tumor grade; although activation of STAT3 was essentially identical between anaplastic astrocytomas and glioblastomas, an increase in the activation of MAPK and AKT appeared to correlate with the progression of anaplastic astrocytoma to glioblastoma. Finally, activated STAT3 and AKT were marginally predictive of improved and worse prognosis, respectively. Taken together, these findings begin to elucidate the interrelationship between these signaling pathways in astrocytic gliomas in vivo.

Astrocytoma↗
PubMed2005

Molecular genetics of oligodendrogliomas: a model for improved clinical management in the field of neurooncology.

Over the last several years, oligodendroglial tumors have become a model for the positive role of molecular genetics in improved treatment of patients with brain tumors. Oligodendrogliomas, in contrast to astrocytic gliomas, frequently respond to chemotherapy and have a better overall prognosis. Combined loss of chromosomes 1p and 19q has proven to be a powerful predictor of chemotherapeutic response and survival in oligodendrogliomas. In contrast, other genetic alterations, such as TP53 and PTEN mutations, EGFR amplification, and homozygous deletion of CDKN2A have been correlated with worse outcome in these tumors. Furthermore, 1p/19q loss has been shown to correlate with unequivocal oligodendroglial tumor histology, location and growth pattern of tumors within the brain, and magnetic resonance imaging characteristics. Although much is also known about the molecular pathological characteristics of astrocytic gliomas, the significance of this information to clinical management in patients with these tumors has not been as striking as has been the case for oligodendrogliomas; possible reasons for this are discussed. In this paper the author will summarize these advances, thus attempting to highlight the molecular genetic study of oligodendrogliomas as a model for improved clinical management in the field of neurooncology.

Brain Neoplasms↗
PubMed2005

Autocrine platelet-derived growth factor-dependent gene expression in glioblastoma cells is mediated largely by activation of the transcription factor sterol regulatory element binding protein and is associated with altered genotype and patient survival in human brain tumors.

A complex profile of gene expression elicited by autocrine platelet-derived growth factor (PDGF) signaling was identified in U87 MG glioblastoma cells by microarray analysis. The most striking pattern observed was a PDGF-dependent activation of at least 25 genes involved with biosynthesis and/or uptake of cholesterol and isoprenoids, including mevalonate pyrophosphate decarboxylase, 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) synthase, HMG-CoA reductase, and low-density lipoprotein receptor. Activity of the HMG-CoA synthase promoter was induced by autocrine PDGF activity as indicated by significant reductions following forced expression of dominant-negative PDGF-A (88%) or treatment with the PDGF receptor antagonist CT52923 (50%). Induction of the HMG-CoA synthase promoter required a binding site for sterol regulatory element binding proteins (SRE-BP), consistent with a key role for these transcription factors in the induction of this gene network. Neither proteolytic activation nor nuclear localization of SRE-BP was affected by disruption of the PDGF autocrine loop, indicating that PDGF signaling is required for other signaling events involved in activation of SRE-BP target genes. Analysis of an expression databank derived from human glial tumors (n = 77) identified a subgroup exhibiting a profile consistent with PDGF dependence, including increased expression of SRE-BP target genes. This subgroup displayed an absence of epidermal growth factor receptor gene amplification, decreased incidence of allelic loss of 10q, increased frequency of TP53 mutations and allelic losses of 1p and 19q, and longer patient survival. This study identifies genes associated with oncogenic activity of PDGF and provides important insights into biomarkers and therapeutic targets in malignant gliomas.

Brain Neoplasms↗
PubMed2005

YKL-40 is a differential diagnostic marker for histologic subtypes of high-grade gliomas.

PURPOSE AND EXPERIMENTAL DESIGN: In modern neuro-oncology, no variable affects therapeutic decisions and prognostic estimation more than tumor classification. We showed recently that class prediction models, based on gene expression profiles, classify diagnostically challenging malignant gliomas in a manner that better correlates with clinical outcome than standard pathology. In the present study, we used immunohistochemistry to investigate YKL-40 protein expression in independent sets of glioblastomas and anaplastic oligodendrogliomas to determine whether this single marker can aid classification of these high-grade gliomas. RESULTS AND CONCLUSIONS: Glioblastomas show strikingly more YKL-40 expression than anaplastic oligodendrogliomas. Only 2 of 37 glioblastomas showed completely negative YKL-40 staining in both tumor cells and extracellular matrix, whereas 18 of 29 anaplastic oligodendrogliomas were completely negative in non-microgemistocytic tumor cells and extracellular matrix. Tumor cell staining intensity was also markedly different: 84% of glioblastomas showed strong staining intensities of 2+ or 3+ whereas 76% of anaplastic oligodendrogliomas either did not stain or stained at only 1+. YKL-40 staining provided a better class distinction of glioblastoma versus anaplastic oligodendroglioma than glial fibrillary acidic protein, the current standard immunohistochemical marker used to distinguish diagnostically challenging gliomas. Moreover, a combination of YKL-40 and glial fibrillary acidic protein immunohistochemistry afforded even greater diagnostic accuracy in anaplastic oligodendrogliomas.

Adipokines↗
PubMed2005

Statistical considerations for immunohistochemistry panel development after gene expression profiling of human cancers.

In recent years there have been a number of microarray expression studies in which different types of tumors were classified by identifying a panel of differentially expressed genes. Immunohistochemistry is a practical and robust method for extending gene expression data to common pathological specimens with the advantage of being applicable to paraffin-embedded tissues. However, the number of assays required for successful immunohistochemical classification remains unclear. We propose a simulation-based method for assessing sample size for an immunohistochemistry investigation after a promising gene expression study of human tumors. The goals of such an immunohistochemistry study would be to develop and validate a marker panel that yields improved prognostic classification of cancer patients. We demonstrate how the preliminary gene expression data, coupled with certain realistic assumptions, can be used to estimate the number of immunohistochemical assays required for development. These assumptions are more tenable than alternative assumptions that would be required for crude analytic sample size calculations and that may yield underpowered and inefficient studies. We applied our methods to the design of an immunohistochemistry study for glioma classification and estimated the number of assays required to ensure satisfactory technical and prognostic validation. Simulation approaches for computing power and sample size that are based on existing gene expression data provide a powerful tool for efficient design of follow-up genomic studies.

Computer Simulation↗
PubMed2005

Histology-based expression profiling yields novel prognostic markers in human glioblastoma.

Although the prognosis for patients with glioblastoma is poor, survival is variable, with some patients surviving longer than others. For this reason, there has been longstanding interest in the identification of prognostic markers for glioblastoma. We hypothesized that specific histologic features known to correlate with malignancy most likely express molecules that are directly related to the aggressive behavior of these tumors. We further hypothesized that such molecules could be used as biomarkers to predict behavior in a manner that might add prognostic power to sole histologic observation of the feature. We reasoned that perinecrotic tumor cell palisading, which denotes the most aggressive forms of malignant gliomas, would be a striking histologic feature on which to test this hypothesis. We therefore used laser capture microdissection and oligonucleotide arrays to detect molecules differentially expressed in perinecrotic palisades. A set of RNAs (including POFUT2, PTDSR, PLOD2, ATF5, and HK2) that were differentially expressed in 3 initially studied, microdissected glioblastomas also provided prognostic information in an independent set of 28 glioblastomas that did not all have perinecrotic palisades. On validation in a second, larger independent series, this approach could be applied to other human glioma types to derive tissue biomarkers that could offer ancillary prognostic and predictive information alongside standard histopathologic examination.

Biomarkers, Tumor↗
PubMed2004

The oligodendroglial lineage marker OLIG2 is universally expressed in diffuse gliomas.

Astrocytomas, oligodendrogliomas, and oligoastrocytomas, collectively referred to as diffuse gliomas, are the most common primary brain tumors. These tumors are classified by histologic similarity to differentiated astrocytes and oligodendrocytes, but this approach has major limitations in guiding modern treatment and research. Lineage markers represent a potentially useful adjunct to morphologic classification. The murine bHLH transcription factors Olig1 and Olig2 are expressed in neural progenitors and oligodendroglia and are essential for oligodendrocyte development. High OLIG expression alone has been proposed to distinguish oligodendrogliomas from astrocytomas, so we critically evaluated OLIG2 as a marker by immunohistochemical and oligonucleotide microarray analysis. OLIG2 protein is faithfully restricted to normal oligodendroglia and their progenitors in human brain. Immunohistochemical analysis of 180 primary, metastatic, and non-neural human tumors shows OLIG2 is highly expressed in all diffuse gliomas. Immunohistochemistry and microarray analyses demonstrate higher OLIG2 in anaplastic oligodendrogliomas versus glioblastomas, which are heterogeneous with respect to OLIG2 levels. OLIG2 protein expression is present but inconsistent and generally lower in most other brain tumors and is absent in non-neuroectodermal tumors. Overall, OLIG2 is a useful marker of diffuse gliomas as a class. However, expression heterogeneity of OLIG2 in astrocytomas precludes immunohistochemical classification of individual gliomas by OLIG2 alone.

Animals↗
PubMed2004

Genetic alterations of phosphoinositide 3-kinase subunit genes in human glioblastomas.

Genetic alterations of PI3K (phosphoinositide 3-kinase) subunits have been documented in a number of tumor types, with increased PI3K activity linked to gene amplification and mutation of catalytic subunits, as well as mutations of regulatory subunits. Among high grade gliomas, activation of the PI3K-AKT signaling pathway through loss of PTEN function is common. We therefore investigated whether genetic alteration of class IA PI3Ks might provide a mechanism for deregulation of this pathway in glioblastomas. We studied a series of glioblastomas with FISH to assess copy number of catalytic subunits (PIK3CA and PIK3CD) and with PCR-SSCP to screen for somatic mutations of conserved regions of both catalytic and regulatory subunits. FISH revealed frequent balanced copy number increases of both PIK3CA and PIK3CD, and one case showed an extra copy limited to PIK3CA. One glioblastoma exhibited a 9-bp deletion that encompassed the exon-intron junction of exon 12 of PIK3R1, documenting for the first time a mutation within a PI3K regulatory subunit in human glioblastoma. This deletion would be predicted to yield a truncated protein that lacks the inhibitory domain, resulting in increased PI3K activity. Furthermore, the case with selected PIK3CA copy number gain and the case with a truncating PIK3R1 mutation both featured AKT activation without PTEN mutation. These results suggest that genetic alterations of class IA PI3K subunit genes can occasionally play a role in human glioblastoma by activating the PI3K-AKT signaling pathway independently of PTEN mutation.

Brain Neoplasms↗
PubMed2003

Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.

In modern clinical neuro-oncology, histopathological diagnosis affects therapeutic decisions and prognostic estimation more than any other variable. Among high-grade gliomas, histologically classic glioblastomas and anaplastic oligodendrogliomas follow markedly different clinical courses. Unfortunately, many malignant gliomas are diagnostically challenging; these nonclassic lesions are difficult to classify by histological features, generating considerable interobserver variability and limited diagnostic reproducibility. The resulting tentative pathological diagnoses create significant clinical confusion. We investigated whether gene expression profiling, coupled with class prediction methodology, could be used to classify high-grade gliomas in a manner more objective, explicit, and consistent than standard pathology. Microarray analysis was used to determine the expression of approximately 12000 genes in a set of 50 gliomas, 28 glioblastomas and 22 anaplastic oligodendrogliomas. Supervised learning approaches were used to build a two-class prediction model based on a subset of 14 glioblastomas and 7 anaplastic oligodendrogliomas with classic histology. A 20-feature k-nearest neighbor model correctly classified 18 of the 21 classic cases in leave-one-out cross-validation when compared with pathological diagnoses. This model was then used to predict the classification of clinically common, histologically nonclassic samples. When tumors were classified according to pathology, the survival of patients with nonclassic glioblastoma and nonclassic anaplastic oligodendroglioma was not significantly different (P = 0.19). However, class distinctions according to the model were significantly associated with survival outcome (P = 0.05). This class prediction model was capable of classifying high-grade, nonclassic glial tumors objectively and reproducibly. Moreover, the model provided a more accurate predictor of prognosis in these nonclassic lesions than did pathological classification. These data suggest that class prediction models, based on defined molecular profiles, classify diagnostically challenging malignant gliomas in a manner that better correlates with clinical outcome than does standard pathology.

Brain Neoplasms↗
PubMed2003

Selection pressures of TP53 mutation and microenvironmental location influence epidermal growth factor receptor gene amplification in human glioblastomas.

Epidermal growth factor receptor (EGFR) gene amplification occurs in glioblastomas as so-called double minutes. Because double minutes are extrachromosomal fragments, selection pressures must operate to maintain high EGFR copy number over multiple cell divisions. In analyses of glioblastoma lysates, EGFR amplification has been observed almost exclusively in glioblastomas harboring wild-type TP53 genes, which raises the alternative hypotheses that TP53 mutation either prevents amplification or selects against maintenance of EGFR-amplified cells. To address these possibilities at the cellular level, we studied 14 glioblastomas for TP53 mutation and EGFR gene amplification status, using fluorescence in situ hybridization (FISH) for the latter. Remarkably, four of the six cases with TP53 mutation had isolated EGFR-amplified cells in different regions, demonstrating that EGFR amplification occurs frequently at the cellular level in TP53-mutant glioblastomas. Thus, TP53 mutation does not prevent EGFR amplification but does not facilitate selection of EGFR-amplified cells. Of the eight cases without TP53 mutation, five had widespread EGFR amplification. In four of these five cases, multiple regions of the tumor were available for examination; FISH demonstrated a gradation of EGFR amplification, with highly amplified cells, primarily at the invading edges rather than the relatively solid tumor centers, suggesting that EGFR overexpression, when selected for in vivo, may be related to tumor invasion.

ErbB Receptors↗