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PubMed2026

Genomic profiling as an option for ovarian cancer diagnostics.

INTRODUCTION: Ovarian cancer (OC) is a highly heterogeneous and lethal gynecological malignancy. Precision oncology has shifted the management paradigm to comprehensive molecular profiling. Genomic-based diagnostics are now a clinical necessity for accurate prognostic stratification and the rational selection of targeted therapeutics, such as PARP and immune checkpoint inhibitors. AREAS COVERED: This review evaluates current literature regarding the distinct genomic landscapes defining OC histotypes to underlined the role of molecular profiling in the diagnostic field of OC. We discuss the practical implementation, technical aspect, and clinical validity of the main molecular diagnostic platforms, focusing on tissue-based Comprehensive Genomic Profiling (CGP) and Homologous Recombination Deficiency (HRD). Furthermore, we explore emerging translational data on liquid biopsy (LBx) applications. EXPERT OPINION: While current tissue-based methodologies provide critical baseline data, the OC diagnostic paradigm must pivot from static testing to proactive and longitudinal tracking. Integrating advanced LBx approaches enables a real-time monitoring of dynamic parameters as minimal residual disease (MRD) and acquired resistance. Integrating these dynamic blood-based assays with multi-omic profiling and artificial intelligence (AI)-driven tools allows a full understanding of the complex tumor behavior.

Humans↗
PubMed2002

Tumor specific gene expression profiles in human leiomyosarcoma: an evaluation of intratumor heterogeneity.

Leiomyosarcomas are malignant smooth muscle tumors characterized by a spectrum of histopathologic features and clinical behavior. Gene expression profiling of leiomyosarcomas may identify differential gene signatures that may allow for the clinical stratification of the tumors. Typically, surgical specimens from these tumors are large and manifest a variegated macroscopic appearance. Because of their large size at the time of diagnosis, sufficient tissue is available for regional and clonal heterogeneity assessment. However, if the gene expression profiles of samples taken from different locations in the tumors are drastically different, biologic classification on the basis of random sample analysis may not be adequate. Therefore, to assess intertumor and intratumor heterogeneity, the authors performed a gene expression study using leiomyosarcoma specimens from three excised sarcomas from an equal number of different patients. Comparisons between tumor and normal samples from the three patients as well as between carefully mapped peripheral and core specimens from the same tumor (excised from one of the patients), were performed. Analysis of the expression profiles demonstrated minimal intratumor variations compared with intertissue variations, indicating homogeneous tumor specific gene expression profiles. The authors also identified genes that are expressed differentially in tumor and normal tissue.

Biomarkers, Tumor↗
PubMed2002

Transcriptional expression profiles of oral squamous cell carcinomas.

BACKGROUND: Currently, the classification of oral squamous cell carcinoma (OSCC) depends heavily on the clinical and pathologic examination of tissue. This system can lead to the classification of potentially heterogeneous tumors into single groups when they may have different degrees of aggressiveness. No system to date has incorporated genetic changes as a factor by which to classify OSCC tumors. METHODS: To test the hypothesis that OSCC has a genome-wide genetic expression profile that differs from normal oral tissue and that transcriptional expression profiling can be used to characterize the heterogeneity among tumors, the authors examined the genetic expression profiles of 26 invasive squamous cell carcinomas of the oral cavity and oropharynx, 2 premalignant lesions, and 18 normal oral tissue samples using oligonucleotide arrays that contained probes representing approximately 7000 full-length human genes. RESULTS: Using hierarchical clustering analysis, the data show that oral carcinomas are distinguishable from normal oral tissue based on genome-wide transcriptional expression patterns. However, there is genetic expression profile heterogeneity among tumors of a particular histopathologic grade and stage. In addition, using a statistical approach that integrated normalization and regression analysis, the authors found 314 genes that were expressed differentially in the OSCC samples with statistical significance (P <or= 0.05). Of these, 239 genes were overexpressed in the OSCC samples, whereas 75 genes were down-regulated. CONCLUSIONS: No statistically significant differences in gene expression were found between early-stage disease and late-stage disease or between metastatic tumors and nonmetastatic tumors. The implications of these findings for the prediction of clinical outcome and for the discovery of new OSCC tumor markers are discussed.

Carcinoma, Squamous Cell↗
PubMed2002

Using mRNA expression profiling to determine anticancer drug efficacy.

Pharmacogenomics is a fast-growing field of investigations that aims to further elucidate the inherited nature of interindividual differences in drug disposition and effects, with the ultimate goal of providing a stronger scientific basis for selecting the optimal drug therapy. Providing the right drug for the right patient is an important problem in the treatment of cancer. This is mainly due to the lack of information about the sensitivity of the tumor for a specific treatment modality, such as either chemotherapy or radiation treatment. This presentation highlights two approaches to identify responsiveness to treatment. Both approaches are based on the identification of expression profiles. The first approach concentrates on drug resistance and the second on the signaling pathways leading up to the death of the cell. Both approaches provide expression profiles; however, the more dynamic expression profiling as used to determine the signaling in damage cells promises to be a better determinant for the pharmacogenomic changes in expression profiles and, consequently, a potential better determinant for drug efficacy.

Antineoplastic Agents↗
PubMedDate not supplied

Alterations in gene expression profiles and the DNA-damage response in ionizing radiation-exposed TK6 cells.

Identifying genes that are differentially expressed in response to DNA damage may help elucidate markers for genetic damage and provide insight into the cellular responses to specific genotoxic agents. We utilized cDNA microarrays to develop gene expression profiles for ionizing radiation-exposed human lymphoblastoid TK6 cells. In order to relate changes in the expression profiles to biological responses, the effects of ionizing radiation on cell viability, cloning efficiency, and micronucleus formation were measured. TK6 cells were exposed to 0.5, 1, 5, 10, and 20 Gy ionizing radiation and cultured for 4 or 24 hr. A significant (P < 0.0001) decrease in cloning efficiency was observed at all doses at 4 and 24 hr after exposure. Flow cytometry revealed significant decreases in cell viability at 24 hr in cells exposed to 5 (P < 0.001), 10 (P < 0.0001), and 20 Gy (P < 0.0001). An increase in micronucleus frequency occurred at both 4 and 24 hr at 0.5 and 1 Gy; however, insufficient binucleated cells were present for analysis at the higher doses. Gene expression profiles were developed from mRNA isolated from cells exposed to 5, 10, and 20 Gy using a 350 gene human cDNA array platform. Overall, more genes were differentially expressed at 24-hr than at the 4-hr time point. The genes upregulated (> 1.5-fold) or downregulated (< 0.67-fold) at 4 hr were those primarily involved in the cessation of the cell cycle, cellular detoxification pathways, DNA repair, and apoptosis. At 24 hr, glutathione-associated genes were induced in addition to genes involved in apoptosis. Genes involved in cell cycle progression and mitosis were downregulated at 24 hr. Real-time quantitative PCR was used to confirm the microarray results and to evaluate expression levels of selected genes at the low doses (0.5 and 1.0 Gy). The expression profiles reflect the cellular and molecular responses to ionizing radiation related to the recognition of DNA damage, a halt in progression through the cell cycle, activation of DNA-repair pathways, and the promotion of apoptosis.

Analysis of Variance↗
PubMed2004

Expression profiling of the influence of RAS mutants on the TGFB1-induced phenotype of the pancreatic cancer cell line PANC-1.

Expression profiling analyses were used to elucidate the functional relevance of RAS proteins in mediating the effect of TGFB1 on the transcriptional phenotype of the pancreatic cancer cell line PANC-1. Despite the presence of one mutated KRAS2 allele in parental PANC-1 pancreatic cancer cells, RAS-dependent signal transduction remained susceptible to stimulation by EGF and TGFB1. To analyze the impact of RAS proteins on the TGFB1-induced transcriptional phenotype, we used PANC-1 cells stably transfected with a dominant negative HRAS(S17N) mutant or with a constitutively active KRAS2(G12V) mutant. TGFB1 treatment of mock-transfected PANC-1 cells led to an expression profile suggestive of epithelial-mesenchymal transdifferentiation (EMT). Profiling of the HRAS(S17N)-expressing clone demonstrated that induction of endogenous RAS activity by TGFB1 is required for the development of the TGFB1-induced transcriptional phenotype of PANC-1 cells. The expression of the KRAS2(G12V) mutant by itself repressed transcription of markers of epithelial differentiation and induced transcription of several extracellular matrix-associated genes. This effect was not enhanced further by TGFB1 treatment. In contrast, transcript levels of genes associated with proliferation and cell cycle progression did not appear to be the primary targets of the synergism between the RAS- and TGFB1-dependent cascades. The introduction of the dominant negative and the constitutively active RAS mutants induced partly overlapping and partly inverse effects on the TGFB1-induced expression profile of PANC-1 cells. Additional mechanisms such as the induction of autocrine loops and the use of different RAS isoforms or alternate, ERK-independent signaling pathways may be involved in the interaction between the RAS- and the TGFB1-dependent signaling cascades.

Amino Acid Substitution↗
PubMed2005

Intratumor versus intertumor heterogeneity in gene expression profiles of soft-tissue sarcomas.

Soft-tissue sarcomas (STSs) constitute more than 30 histologic entities. In addition, within each entity, tumors are often heterogeneous in macroscopic features, genetic alterations, microscopic appearance, and clinical course. Therefore, there has been concern about whether a single tumor sample can provide a gene expression profile representative of the entire tumor. We used 27-k cDNA microarray slides to assess the importance of intratumor versus intertumor heterogeneity of the gene expression profiles of 2 morphologically heterogeneous STSs. Multiple pieces of tumor (8 and 10 pieces) were obtained from a myxoid variant of malignant fibrous histiocytoma (MFH) and a leiomyosarcoma (LMS), respectively, and the expression patterns were compared with single tumor samples from 20 MFHs and 16 LMSs. Hierarchical clustering analysis of the expression profiles showed that samples from the same tumor clustered together. The average intratumor distance was considerably shorter than the average intertumor distance in both LMS and MFH. In addition, tumor subclusters that distinguished different macroscopic parts of the tumor could be discerned. We concluded that intratumor variability exists but that accurate gene expression profiling also could be obtained using single samples from a large STS.

Adult↗
PubMed2006

Does the whole equal the sum of the parts? Patient-assigned utility scores for IBS-related health states and profiles.

The quality-adjusted life year (QALY) assumes that the value of a health state is linearly related to the time spent in it, which implies that the value of a health state is independent of the states which precede or follow it. Irritable bowel syndrome (IBS) is a suitable condition to test this assumption since it is subject to considerable fluctuations over time. Forty-nine IBS patients were asked to rate their own health using generic measures of health and a condition specific classification. They were then asked to value five IBS states and four profiles using a self-completed version of the standard gamble technique. The implied value of each profile was estimated using the QALY assumption of linearity over time and compared with the direct profile valuations. The directly elicited profile values suggest that reductions in the duration of IBS symptoms has less of an impact on the value of quality of life than would be implied by the QALY assumption of linearity over time, though the differences were small. There are a number of competing explanations for this finding, including possible sequence effects, quantity effects or time preference, or it might be due to gestalt effects resulting in a neglect of time spent in symptomatic states of health.

Costs and Cost Analysis↗
PubMed2004

Molecular identification of ERalpha-positive breast cancer cells by the expression profile of an intrinsic set of estrogen regulated genes.

Estrogens exert a key biological role in mammary gland epithelial cells and promote breast carcinogenesis and tumor progression. We recently identified a new large set of estrogen responsive genes from breast cancer (BC) cells by DNA microarray analysis of the gene expression profiles induced by 17beta-estradiol in ZR-75.1 and MCF-7 cells. The purpose of the present study was to test whether the expression pattern of hormone regulated genes from this set identifies estrogen receptor (ERalpha) positive, hormone responsive BC cells. To this aim, we carried out in silico metanalysis of ERalpha positive and ERalpha negative human BC cell line transcriptomes, focusing on two sets of 171 and 218 estrogen responsive genes, respectively. Results show that estrogen dependent gene activity in hormone responsive BC cells is significantly different from that of non-responsive cells and, alone, allows to discriminate these two cellular phenotypes. Indeed, we have identified 61 genes whose expression profile specifically marks ERalpha positive BC cells, suggesting that this gene set may be exploited for phenotypic characterization of breast tumors. This possibility was tested with data obtained by gene expression profiling of BC surgical samples, where the ERalpha positive phenotypes were highlighted by the expression profile of a subset of 27 such hormone responsive genes and four additional BC marker genes, not including ERs. These results provide direct evidence that the expression pattern of a limited number of estrogen responsive genes can be exploited to assess the estrogen signaling status of BC cells both in vitro and ex-vivo.

Biopsy↗
PubMed2002

Gene expression profiling in developing human hippocampus.

The gene expression profile of developing human hippocampus is of particular interest and importance to neurobiologists devoted to development of the human brain and related diseases. To gain further molecular insight into the developmental and functional characteristics, we analyzed the expression profile of active genes in developing human hippocampus. Expressed sequence tags (ESTs) were selected by sequencing randomly selected clones from an original 3'-directed cDNA library of 150-day human fetal hippocampus, and a digital expression profile of 946 known genes that could be divided into 16 categories was generated. We also used for comparison 14 other expression profiles of related human neural cells/tissues, including human adult hippocampus. To yield more confidence regarding differential expression, a method was applied to attach normalized expression data to genes with a low false-positive rate (<0.05). Finally, hierarchical cluster analysis was used to exhibit related gene expression patterns. Our results are in accordance with anatomical and physiological observations made during the developmental process of the human hippocampus. Furthermore, some novel findings appeared to be unique to our results. The abundant expression of genes for cell surface components and disease-related genes drew our attention. Twenty-four genes are significantly different from adult, and 13 genes might be developing hippocampus-specific candidate genes, including wnt2b and some Alzheimer's disease-related genes. Our results could provide useful information on the ontogeny, development, and function of cells in the human hippocampus at the molecular level and underscore the utility of large-scale, parallel gene expression analyses in the study of complex biological phenomena.

Adult↗
PubMed2007

Nonsupervised construction and application of mass spectral and retention time index libraries from time-of-flight gas chromatography-mass spectrometry metabolite profiles.

Gas chromatography-mass spectrometry (GC-MS) is routinely applied to the metabolite profiling of biological samples. Time-of-flight (TOF)-GC-MS metabolite profiling is based on highly reproducible electron impact ionization. Single chromatograms may comprise 200-1000 mass spectral components. The nature and composition of these mass spectral components depend on the choice of metabolite extraction, type of biological sample, and experimental condition. The components represent mass spectral tags (MSTs) of volatile metabolites or metabolite derivatives. Identification of MSTs is the major challenge in GC-MS metabolite profiling. We describe methods suitable for the automated construction of mass spectral and retention time index databases from large sets of TOF-GC-MS profiles. Application of these libraries for automated identification by pure reference compounds and classification of hitherto unidentified MSTs from biological sources is demonstrated.

Carbohydrate Metabolism↗
PubMed2004

Understanding human dendritic cell biology through gene profiling.

Dendritic cells are potent antigen presenting cells whose function has been associated with a variety of immunological disorders. Because of their relevance to human disease, extensive efforts have been made to gain a better understanding of their biology. One aspect of these efforts has been in the identification of pertinent molecules expressed in these cells through gene profiling experiments and proteomics. In this review, we summarize the results from the various profiling studies that have been done with human dendritic cells. We focus on molecules, which have been confirmed by other methods, such as quantitative PCR, or have been identified in multiple profiling studies to be expressed in the respective dendritic cell type. Through such profiling experiments and subsequent analysis, interesting molecules have been identified which can be further studied to determine their role in dendritic cell biology.

Dendritic Cells↗
PubMed2004

[Molecular classification in leukemias using gene expression profiling].

A comprehensive approach to the diagnosis in leukemias relies on cytomorphology, cytochemistry, cytogenetics, fluorescence in situ hybridization, multiparameter flow cytometry, and molecular methods. Recently, gene expression profiling using microarrays was invented to measure the expression of thousands of genes in one step. A specific signature stands for the molecular fingerprint of a tumor sample. Therefore, gene expression profiling may lead to a better molecular classification of leukemias and insights into pathophysiology. Furthermore, gene expression profiling may lead to new targeted therapies and can detect genes to be used for minimal residual disease studies. Very recent studies point also to the possibility to use gene expression profiling for prognostication. In conclusion, microarrays may lead to a single platform approach in leukemia diagnosis with quick and very robust results. This new technique should be further validated in parallel to the standard work-flow and has to be proven before substituting other methods in the future.

Algorithms↗
PubMed2006

Gene expression profiling of ATP-binding cassette (ABC) transporters as a predictor of the pathologic response to neoadjuvant chemotherapy in breast cancer patients.

Drug resistance is a major obstacle to the successful chemotherapy. Several ATP-binding cassette (ABC) transporters including ABCB1, ABCC1 and ABCG2 have been known to be important mediators of chemoresistance. Using oligonucleotide microarrays (HG-U133 Plus 2.0; Affymetrix), we analyzed the ABC transporter gene expression profiles in breast cancer patients who underwent sequential weekly paclitaxel/FEC (5-fluorouracil, epirubicin and cyclophosphamide) neoadjuvant chemotherapy. We compared the ABC transporter expression profile between two classes of pretreatment tumor samples divided by the patients' pathological response to neoadjuvant chemotherapy (residual disease [RD] versus pathologic complete response [pCR]) ABCB3, ABCC7 and ABCF2 showed significantly high expression in the pCR. Several ABC transporters including ABCC5, ABCA12, ABCA1 ABCC13, ABCB6 and ABCC11 showed significantly increased expression in the RD (p<0.05). We evaluated the feasibility of developing a multigene predictor model of pathologic response to neoadjuvant chemotherapy using gene expression profiles of ABC transporters. The prediction error was evaluated by leave-one-out cross-validation (LOOCV). A multigene predictor model with the ABC transporters differentially expressed between the two classes (p<or=0.003) showed an average 92.8% of predictive accuracy (95% CI, 88.0-97.4%) with a 93.2% (95% CI, 85.2-100%) positive predictive value for pCR, a 93.6% (95% CI, 87.8-99.4%) negative predictive value, a sensitivity of 88.1%(95% CI, 76.8-99.4%), and a specificity of 95.9% (91.1% CI, 87.8-100%). Our results suggest that several ABC transporters in human breast cancer cells may affect the clinical response to neoadjuvant chemotherapy, and transcriptional profiling of these genes may be useful to predict the pathologic response to sequential weekly paclitaxel/FEC in breast cancer patients.

ATP-Binding Cassette Transporters↗
PubMed2005

Proteome profiling of human epithelial ovarian cancer cell line TOV-112D.

A proteome profiling of the epithelial ovarian cancer cell line TOV-112D was initiated as a protein expression reference in the study of ovarian cancer. Two complementary proteomic approaches were used in order to maximise protein identification: two-dimensional gel electrophoresis (2DE) protein separation coupled to matrix assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) and one-dimensional gel electrophoresis (1DE) coupled to liquid-chromatography tandem mass spectrometry (LC MS/MS). One hundred and seventy-two proteins have been identified among 288 spots selected on two-dimensional gels and a total of 579 proteins were identified with the 1DE LC MS/MS approach. This proteome profiling covers a wide range of protein expression and identifies several proteins known for their oncogenic properties. Bioinformatics tools were used to mine databases in order to determine whether the identified proteins have previously been implicated in pathways associated with carcinogenesis or cell proliferation. Indeed, several of the proteins have been reported to be specific ovarian cancer markers while others are common to many tumorigenic tissues or proliferating cells. The diversity of proteins found and their association with known oncogenic pathways validate this proteomic approach. The proteome 2D map of the TOV-112D cell line will provide a valuable resource in studies on differential protein expression of human ovarian carcinomas while the 1DE LC MS/MS approach gives a picture of the actual protein profile of the TOV-112D cell line. This work represents one of the most complete ovarian protein expression analysis reports to date and the first comparative study of gene expression profiling and proteomic patterns in ovarian cancer.

Cell Line, Transformed↗
PubMed2004

Transcript profiling of transcription factor genes during silique development in Arabidopsis.

Flower development is a key process for all angiosperms and is essential for sexual reproduction. The last phase in flower development is fertilization of the ovules and formation of the fruits, which are both biologically and economically of importance. Here, we report the expression profiles of over 1100 unique Arabidopsis genes coding for known and putative transcription factors (TFs) during silique development using high-density filter array hybridizations. Hierarchical cluster analyses revealed distinct expression profiles for the different silique developmental stages. This allowed a functional classification of these expression profiles in groups, namely pistil development, embryogenesis, seed maturation, fruit maturation, and fruit development. A further focus was made on the MADS-box family, which contains many members that are functionally well-characterized. The expression profiles of these MADS-box genes during silique development give additional clues on their functions and evolutionary relationship.

Arabidopsis↗
PubMed2006

Transcription profile analyses identify genes and pathways central to root cap functions in maize.

Affymetrix GeneChips arrayed with about one-half (~23K) of the rice genes were used to profile gene transcription activity in three tissues comprising the maize root tip; the proximal meristem (PM), the quiescent center (QC), and the root cap (RC). Here we analyze the gene transcription profile of the RC, compared to both the PM and the QC, from three biological replicates. In the RC, a total of 669 genes were identified as being differentially upregulated, and 365 differentially downregulated. Real-time quantitative RT-PCR analysis was used to confirm upregulated genes in the RC. In addition, using the technique of laser microdissection (LMD) we localized upregulated gene expression to the lateral RC cells. Taken as a whole, transcription profile analyses revealed the upregulation in the maize RC of clusters of genes linked to major metabolic processes and pathways, including: (1) transport, both the export of carbohydrates and the uptake of nutrients; (2) sensing and responding to (often stressful) biotic and abiotic environmental stimuli; (3) integrating the responses of at least 3 major growth regulators (auxin, ethylene, jasmonic acid); (4) processing the large amount of carbohydrate transported into the RC. Although the profile data are derived using heterologous rice GeneChips, with about half of the total rice gene set, this study, nevertheless, provides a genomic scale characterization of the entire RC, and serves as a new platform from which to advance studies of the network of pathways operating in the maize RC.

Arabidopsis↗
PubMed2005

A new cancer diagnostic system based on a CDK profiling technology.

A series of molecular pathological investigations of the molecules that stimulate the cyclin dependent kinases (CDK1, 2, 4, and 6) have led to enormous accumulation of knowledge of the clinical significance of these molecules for cancer diagnosis. However, the molecules have yet to be applied to clinical cancer diagnosis, as there is no available technology for application of the knowledge in a clinical setting. We hypothesized that the direct measurement of CDK activities and expressions (CDK profiling) might produce clinically relevant values for the diagnosis. This study investigated the clinical relevance of CDK profiling in gastrointestinal carcinoma tissues by using originally developed expression and activity analysis methods. We have established novel methods and an apparatus for analyzing the expression and activities of the CDK molecules in lysate of tumor tissue in a clinical setting, and examined 30 surgically dissected gastrointestinal carcinomas and corresponding normal mucosal specimens. We demonstrate here that remarkably elevated CDK2 activity is evident in more than 70% of carcinoma tissues. Moreover, a G1-CDK activity profiling accurately mirrored the differences in proliferation between tumor and normal colonic tissues. Our results suggest that CDK profiling is a potent molecular-clinical approach to complement the conventional pathological diagnosis, and to further assist in the individualized medications.

Adult↗