Combining Gene Expression Profiles and Clinical Parameters for Risk Stratification in Medulloblastomas

2004 ◽  
Vol 22 (6) ◽  
pp. 994-998 ◽  
Author(s):  
Ana Fernandez-Teijeiro ◽  
Rebecca A. Betensky ◽  
Lisa M. Sturla ◽  
John Y.H. Kim ◽  
Pablo Tamayo ◽  
...  

Purpose Stratification of risk in patients with medulloblastoma remains a challenge. As clinical parameters have been proven insufficient for accurately defining disease risk, molecular markers have become the focus of interest. Outcome predictions on the basis of microarray gene expression profiles have been the most accurate to date. We ask in a multivariate model whether clinical parameters enhance survival predictions of gene expression profiles. Patients and Methods In a cohort of 55 young patients (whose medulloblastoma samples have been analyzed previously for gene expression profile), associations between clinical and gene expression variables and survival were assessed using Cox proportional hazards models. Available clinical variables included age, stage (ie, the presence of disseminated disease at diagnosis), sex, histologic subtype, treatment, and status. Results Univariate analysis demonstrated expression profiles to be the only significant clinical prognostic factor (P = .03). In multivariate analysis, gene expression profiles predicted outcome independent of other criteria. Clinical criteria did not significantly contribute additional information for outcome predictions, although an exploratory analysis noted a trend for decreased survival of patients with metastases at diagnosis but favorable gene expression profile. Conclusion Gene expression profiling predicts medulloblastoma outcome independent of clinical variables. These results need to be validated in a larger prospective study.

Blood ◽  
2002 ◽  
Vol 99 (7) ◽  
pp. 2285-2290 ◽  
Author(s):  
James Z. Huang ◽  
Warren G. Sanger ◽  
Timothy C. Greiner ◽  
Louis M. Staudt ◽  
Dennis D. Weisenburger ◽  
...  

Recently we have identified subgroups of de novo primary diffuse large B-cell lymphoma (DLBCL) based on complementary DNA microarray-generated gene expression profiles. To correlate the gene expression profiles with cytogenetic abnormalities in these DLBCLs, we examined the occurrence of the t(14;18)(q32;q21) in the 2 distinctive subgroups of DLBCL: one with the germinal center B-cell gene expression signature and the other with the activated B cell–like gene expression signature. The t(14;18) was detected in 7 of 35 cases (20%). All 7 t(14;18)-positive cases had a germinal center B-cell gene expression profile, representing 35% of the cases in this subgroup, and 6 of these 7 cases had very similar gene expression profiles. The expression of bcl-2 and bcl-6 proteins was not significantly different between the t(14;18)-positive and -negative cases, whereas CD10 was detected only in the group with the germinal center B-cell expression profile, and CD10 was most frequently expressed in the t(14;18)-positive cases. This study supports the validity of subdividing DLBCL into 2 major subgroups by gene expression profiling, with the t(14;18) being an important event in the pathogenesis of a subset of DLBCL arising from germinal center B cells. CD10 protein expression is useful in identifying cases of DLBCL with a germinal center B-cell gene expression profile and is often expressed in cases with the t(14;18).


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 911-911 ◽  
Author(s):  
Martin Neumann ◽  
Sandra Heesch ◽  
Stefan Schwartz ◽  
Nicola Gökbuget ◽  
Dieter Hoelzer ◽  
...  

Abstract Abstract 911 Introduction: Recently, a small subgroup of pediatric acute T-lymphoblastic leukemia (T-ALL) was described, which is closely associated with the gene expression profile of early T-cell precursors (ETPs). This subtype, termed ETP-ALL, showed a highly unfavorable outcome compared to non-ETP(='typical')-ALL. Based on the results of Coustan-Smith et al. (Lancet Oncology, 2009), the Italian national study Associazione Italiana Ematologia Oncologia Pediatrica (AIEOP) and St-Jude Children's hospital modified their treatment in children with ETP-ALL to a more intensive regime including stem cell transplantation. ETP-ALL is characterized by a specific immunophenotype (CD1a-, CD8-, CD5weak with expression of stem cell or myeloid markers). Here we explored the existence of ETP-ALL in adults and further studied the molecular characteristics of this specific T-ALL subtype. Patients and methods: We examined the gene expression profiles of 86 adult T-ALL patients obtained from the Microarray Innovations in LEukemia (MILE) multicenter study (HG-U133 Plus 2.0, Affymetrix, Haferlach et al., JCO in press). In addition, bone marrow of 296 patients from the German Acute Lymphoblastic Leukemia Multicenter Study Group (GMALL) were analyzed by flow cytometry and expression levels of BAALC, IGFBP7, MN1, and WT1 were determined by real-time-PCR. Results: Using the published list of differentially expressed genes in ETPs (Coustan-Smith et al. 2009) we performed unsupervised clustering analyses of the 86 T-ALL samples. A cluster of 17 samples (19.8%) displayed an ETP-associated gene expression profile and were defined as ETP-ALL. Comparing the gene expression profiles of ETP-ALL and typical T-ALL, 2065 probe sets were differentially expressed in ETP-ALL (FDR 0.05). In addition to genes used for classification, we also identified genes known to be involved in the pathogenesis of T-ALL (e.g. PROM1, BCL2, LMO2, LYL1). In particular, stem cell associated genes such as, BAALC (2.52-fold, p=0.003), IGFBP7 (2.76-fold, p=0.002) or MN1 (3.41-fold, p<0.001) were upregulated in ETP-ALL, whereas HOX11 (45-fold, p=0.004), a marker for thymic T-ALL, was downregulated. An independent cohort of 297 patient samples from the GMALL study group was examined by flow cytometry and real-time PCR. 19 (6.4%) samples revealed the ETP-ALL immunophenotype. As expected, all patient samples were found in the group of early T-ALL, representing 23.5% of all early T-ALLs. There was a significant correlation between a lower leukocyte count at first diagnosis and the classification of ETP-ALL (p=0.001). Gene expression measured by real-time-PCR was performed for genes associated with poor outcome in T-ALL: BAALC (2.11-fold, p<0.001) and IGFBP7 (3.59-fold, p=0.003) were significantly upregulated in the group of ETP-ALL. Similarly, the genes MN1 (4.52-fold, p<0.001) and WT1 (2.76-fold, p=0.036), described as poor prognostic markers in cytogenetically normal AML, were also upregulated in ETP-ALL. Conclusion: In adult T-ALL, a subset of patients shares the gene expression profil and immunophenotype of ETP-ALL, which is in line with recent findings in pediatric patients. The gene expression profile of this subset is significantly correlated to stem cell associated markers predictive for inferior outcome in T-ALL. Interestingly, adverse factors in CN-AML are also aberrantly expressed in ETP-ALL suggesting a myeloid origin of ETPs and indicating a closer relationship between ETP-ALL and AML. The prognostic impact and the determination of the most appropiate set of markers needs to be further investigated. These results support the GMALL strategy to regard early T-ALL patients as high risk with assignment to stem cell transplantation. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership.


Cancers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1212 ◽  
Author(s):  
Ingeborg E. de Kruijff ◽  
Anieta M. Sieuwerts ◽  
Wendy Onstenk ◽  
Jaco Kraan ◽  
Marcel Smid ◽  
...  

(1) Background: Markers identifying which patients with metastatic, castration-resistant prostate cancer (mCRPC) will benefit from cabazitaxel therapy are currently lacking. Therefore, the aim of this study was to identify markers associated with outcome to cabazitaxel therapy based on counts and gene expression profiles of circulating tumor cells (CTCs). (2) Methods: From 120 mCRPC patients, CellSearch enriched CTCs were obtained at baseline and after 6 weeks of cabazitaxel therapy. Furthermore, 91 genes associated with prostate cancer were measured in mRNA of these CTCs. (3) Results: In 114 mCRPC patients with an evaluable CTC count, the CTC count was independently associated with poor progression-free survival (PFS) and overall survival (OS) in multivariable analysis with other commonly used variables associated with outcome in mCRPC (age, prostate specific antigen (PSA), alkaline phosphatase, lactate dehydrogenase (LDH), albumin, hemoglobin), together with alkaline phosphatase and hemoglobin. A five-gene expression profile was generated to predict for outcome to cabazitaxel therapy. However, even though this signature was associated with OS in univariate analysis, this was not the case in the multivariate analysis for OS nor for PFS. (4) Conclusion: The established five-gene expression profile in CTCs was not independently associated with PFS nor OS. However, along with alkaline phosphatase and hemoglobin, CTC-count is independently associated with PFS and OS in mCRPC patients who are treated with cabazitaxel.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Nan Song ◽  
Hongpeng Yang ◽  
Wei Pang ◽  
Zhiwei Qie ◽  
Hao Lu ◽  
...  

Mulberry, which contained high amounts of anthocyanins, has been used in traditional Chinese medicine. Mulberry fruit extracts (ME) have demonstrated the antioxidant activity and neuroprotection. The study was to investigate the neuroprotective efficacy of ME againstβ-amyloid 25–35- (Aβ25–35-) induced PC12 cells injury. Cells preincubated with or without ME (200 μg/mL) for 24 h were treated with Aβ25–35(20 μmol/L) for another 24 h. Cell viability was assessed by MTT, gene expression profiles were examined by cDNA microarrays, and RT-PCR were used to confirm the results of microarray assays. ME pretreatment was found to neutralize the cytotoxicity and prevent Aβ25–35-induced cells injury. Analyses of gene expression profile revealed that genes involving cell adhesion, peptidase activity, cytokine activity, ion binding activity, and angiogenesis regulation were significantly modulated by ME pretreatment. Among those genes, Apaf1, Bace2, and Plcb4 were enriched in the “Alzheimer’s disease-reference pathway” and downregulated after ME intervention. RT-PCR results showed that ME preincubation could significantly inhibit Aβ25–35increased mRNA levels of these three genes. Overall, ME pretreatment could substantially alleviate PC12 cells injury and downregulate expression of AD-related genes, such as Apaf1, Bace2, and Plcb4. This study has a great nutrigenomics interest and brings new and important light in the field of AD intervention.


2019 ◽  
Author(s):  
Roman U. Goz ◽  
Ari Silas ◽  
Sara Buzel ◽  
Joseph J. LoTurco

AbstractBACKGROUNDFrequent de-novo somatic mutations in major components (PI3KCA, AKT3, TSC1, TSC2, mTOR, BRAF) of molecular pathways crucial for cell differentiation, proliferation, growth and migration (mTOR, MAPK) has been previously implicated in malformations of cortical development (MCDs) and low-grade neuroepithelial tumors (LNETs) 1–7. LNETs are the most frequent tumors found in patients undergoing resective surgery for refractory epilepsy treatment. BRAFV600E is found in up to 70% of LNETs. Previous studies suggest a causal relationship between those de-novo somatic mutations in mTOR, MAPK pathways and seizures occurrence, even without presence of malformation or a tumor 2, 3, 8–13. Recently Koh and colleagues 14 showed that BRAFV600E mutation may cause seizures through activation of RE1-silecing transcription factor (REST). Additionally, they showed a significant downregulation of synaptic transmission and plasticity pathways and decreased expression of multiple ion channels subunits including HCN1, KCNQ3, SCN2A and SCN3B. The downregulation of those genes including GABA receptors subunits and protein expression specific to interneurons subpopulations (SST, VIP) suggests that a dysregulated inhibitory circuits are responsible for seizures in GGs. The experimental manipulation - In-Utero electroporation of episomal activating Cre plasmids that they used to test their hypothesis in mice however activated mutant BRAFV637 only in excitatory neurons. And the downregulated genes in mice were confirmed by qRT-PCR in the whole tissue samples. The question of how electrophysiological properties of the affected and surrounding neurons are changed were not addressed. The changes in ion conductances and neuronal circuits responsible for seizures could be only inferred from gene expression profiles. Purpose of the current work was to investigate how overactive human BRAFV600E mutated protein incorporated into the mouse genome through piggyBase transposition increase neuronal excitability in ex-vivo mouse cortical slices and whether it induces histopathological features and gene expression profile alteration observed in low-grade neuroepithelial tumors (LNETs).METHODSUsing In-Utero Electroporation we have introduced human BRAFV600E protein into radial glia progenitors in mouse embryonic cortex on the background of piggyBac transposon system that allows incorporation of the DNA sequence of interest into the genome. Immunohistochemistry was used for examination of known markers in LNETs. RNA sequencing on Illumina NextSeq 500 was used to examine alterations in gene expression profiles. Whole-cell current- and voltage-clamp was used to examine changes in electrophysiological properties. Unsupervised Hierarchical Clustering Analysis was used to examine grouping of different conditions based on their gene expression profile and electrophysiological properties. Video electrocorticographic recordings were used to test whether BRAFV600E transgenic mice have spontaneous seizures.RESULTSUnder GLAST driving promoter BRAFV600E induced astrogenesis, caused morphological alterations in transgenic cells akin to balloon-like cells, and delayed neuronal migration. Under NESTIN driver promoter BRAFV600E increased neurogenesis, induced balloon-like cells and caused some cells to remain close to the lateral ventricle displaying large soma size compared to neurons in the upper cortical layers. Some of the balloon-like cells were immunopositive for astroglial marker glial fibrillary acidic protein (GFAP), and for both upper and lower cortical layers markers (Cux1 and Ctip2). Gene ontology analysis for BRAFV600E gene expression profile showed that there is a tissue-wide increased inflammatory immune response, complement pathway activation, microglia recruitment and astrocytes activation, which supported increased immunoreactivity to microglial marker iba1, and to GFAP respectively. In current clamp BRAFV600E neurons have increased excitability properties including more depolarized resting membrane potential, increased input resistance, low capacitance, low rheobase, low action potential (AP) voltage threshold, and increased AP firing frequency. Additionally, BRAFV600E neurons have increased SAG and rebound excitation, indicative of increased hyperpolarization activated depolarizing conductance (IH), which is confirmed in voltage-clamp. The sustained potassium current sensitive to tetraethylammonium was decreased in BRAFV600E neurons.. In 4 out of 59 cells, we have also observed a post-action potential depolarizing waves, frequencies of which increased in potassium current recording when Ca2+ was substituted to Co2+ in the extracellular solution (5/24). We show that using 20 electrophysiological properties BRAFV600E neurons segregate separately from other conditions. Comparison of electrophysiological properties of those neurons with neurons bearing somatic mutations in mechanistic target of rapamycin (MTOR) pathway regulatory components, overactivation of which is been shown in malformations of cortical development (MCDs), showed that expression of PIK3CAE545K under GLAST+ promoter and TSC1 knockdown (KD) with CRISPR-Cas9 have different effects on neuronal excitability.


2020 ◽  
Vol 36 (12) ◽  
pp. 3788-3794
Author(s):  
Wenjian Xu ◽  
Xuanshi Liu ◽  
Fei Leng ◽  
Wei Li

Abstract Motivation Gene expression profiling is widely used in basic and cancer research but still not feasible in many clinical applications because tissues, such as brain samples, are difficult and not ethnical to collect. Gene expression in uncollected tissues can be computationally inferred using genotype and expression quantitative trait loci. No methods can infer unmeasured gene expression of multiple tissues with single tissue gene expression profile as input. Results Here, we present a Bayesian ridge regression-based method (B-GEX) to infer gene expression profiles of multiple tissues from blood gene expression profile. For each gene in a tissue, a low-dimensional feature vector was extracted from whole blood gene expression profile by feature selection. We used GTEx RNAseq data of 16 tissues to train inference models to capture the cross-tissue expression correlations between each target gene in a tissue and its preselected feature genes in peripheral blood. We compared B-GEX with least square regression, LASSO regression and ridge regression. B-GEX outperforms the other three models in most tissues in terms of mean absolute error, Pearson correlation coefficient and root-mean-squared error. Moreover, B-GEX infers expression level of tissue-specific genes as well as those of non-tissue-specific genes in all tissues. Unlike previous methods, which require genomic features or gene expression profiles of multiple tissues, our model only requires whole blood expression profile as input. B-GEX helps gain insights into gene expressions of uncollected tissues from more accessible data of blood. Availability and implementation B-GEX is available at https://github.com/xuwenjian85/B-GEX. Supplementary information Supplementary data are available at Bioinformatics online.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
D Haouzi ◽  
F Entezami ◽  
S Brouillet ◽  
F Barry ◽  
A Gala ◽  
...  

Abstract Study question Covid-19 pandemic has significantly affected the assisted reproductive technology (ART) practice. Understanding whether SARS-CoV-2 could infect endometrial tissues during ART is crucial for risk mitigation Summary answer Analyses of gene expression profiles of SARS-CoV-2 host entry candidates from microarray data suggest that endometrium should be considered as potential target for SARS-CoV-2 infection. What is known already Very few studies analyzed the gene expression profiles of SARS-CoV-2-associated receptors and proteases, mainly focusing on ACE2 and TMPRSS2 expression, resulting incomplete knowledge in different specimens from female genital tract. However, no studies have analyzed the potential impact of controlled ovarian stimulation (COS) protocols during ART procedure on the endometrial gene expression profiles of SARS-CoV-2-associated receptors and proteases Study design, size, duration To address this question, we retrospectively examined the gene expression profile of SARS-CoV-2-associated receptors and proteases in endometrial biopsies of a cohort of ART candidates using Affymetrix microarray data Participants/materials, setting, methods Human endometrial tissue under natural (n = 62) and COS cycles (n = 42) were analyzed. A focus was particularly made on the renin-angiotensin system relates genes with a prominent role in the virus infection, and gene expression levels of receptors and proteases closely related to SARS-CoV-2 infectionwas also studied. Main results and the role of chance Using our large cohort of endometrial samples, we reported a high prevalence of genes related to the ACE2 pathway, including AGT, AGTR1, ANPEP, CTSA, ENPEP, LNPEP, MME, NLN, THOP1, BSG and CTSL during both phases(early- and mid-secretory phase), and mainly during the mid-secretory phase for ACE2. The highest signal intensities were found for CTSA, LNPEP, MME, NLN, BSG and CTSL. The most representative of dual coexpression of SARS-CoV-2-associated receptor and protease in endometrium was BSG-CSTL and BSG-CTSA. It s also important to note high variation of SARS-CoV-2 receptors inter-patients under natural cycle.Globally, the impact of COS on endometrial gene expression profile of SARS-CoV-2-associated receptors and proteases of non Covid-19 patients is low, suggesting no additional potential risks of SARS-CoV-2 infection during stimulated ART procedure compared with natural cycles. Limitations, reasons for caution Analyses of Affymetrix microarray gene expression data were performed in non-COVID-19 patients. Whether the SARS-CoV-2 infection changes the endometrial gene expression profile of SARS-CoV-2-associated receptors and proteases is under investigation Wider implications of the findings Specimens from female genital tract may be considered as potential targets for SARS-CoV-2. Trial registration number not applicable


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Malgorzata Oczko-Wojciechowska ◽  
Michal Swierniak ◽  
Jolanta Krajewska ◽  
Malgorzata Kowalska ◽  
Monika Kowal ◽  
...  

Abstract Medullary thyroid cancer (MTC) can be caused by germline mutations of the RET proto-oncogene or occurs as a sporadic form. It is well known that RET mutations affecting the cysteine-rich region of the protein (MEN2A-like mutations) are correlated with different phenotypes than those in the kinase domain (MEN2B-like mutations). Our aim was to analyse the whole-gene expression profile of MTC with regard to the type of RET gene mutation and the cancer genetic background (hereditary vs sporadic). We studied 86 MTC samples. We demonstrated that there were no distinct differences in the gene expression profiles of hereditary and sporadic MTCs. This suggests a homogeneous nature of MTC. We also noticed that the site of the RET gene mutation slightly influenced the gene expression profile of MTC. We found a significant association between the localization of RET mutations and the expression of three genes: NNAT (suggested to be a tumour suppressor gene), CDC14B (involved in cell cycle control) and NTRK3 (tyrosine receptor kinase that undergoes rearrangement in papillary thyroid cancer). This study suggests that these genes are significantly deregulated in tumours with MEN2A-like and MEN2B-like mutations; however, further investigations are necessary to demonstrate any clinical impact of these findings.


2017 ◽  
Vol 102 (1-2) ◽  
pp. 39-46 ◽  
Author(s):  
Woo Young Kim ◽  
Jae Bok Lee ◽  
Seung Pil Jung ◽  
Hoon Yub Kim ◽  
Sang Uk Woo ◽  
...  

The objective was to identify gene expression profile of papillary thyroid microcarcinoma. To help improve diagnosis of papillary thyroid microcarcinoma, we performed gene expression profiling and compared it to pair normal thyroid tissues. We performed microarray analysis with 6 papillary thyroid microcarcinoma and 6 pair normal thyroid tissues. Differentially expressed genes were selected using paired t test, linear models for microarray data, and significance analysis of microarrays. Real-time quantitative reverse transcription–polymerase chain reaction was used to validate the representative 10 genes (MET, TIMP1, QPCT, PROS1, LRP4, SDC4, CITED1, DPP4, LRRK2, RUNX2). We identified 91 differentially expressed genes (84 upregulated and 7 downregulated) in the gene expression profile and validated 10 genes of the profile. We identified a significant genetic difference between papillary thyroid microcarcinoma and normal tissue by 10 upregulated genes greater than 2-fold (P &lt; 0.05).


2011 ◽  
Vol 54 (6) ◽  
pp. 1849
Author(s):  
A. Razuvaev ◽  
J. Ekstrand ◽  
L. Folkersen ◽  
H. Agardh ◽  
D. Markus ◽  
...  

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