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Jeffrey R Marks

Publications and source records attributed to Jeffrey R Marks.

28 records · Page 2Linked to original sources
PubMed2004

Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays.

OBJECTIVE: The purpose of this study was to define gene expression patterns that are associated with the optimal versus suboptimal debulking of advanced-stage serous ovarian cancers. STUDY DESIGN: RNA from 44 advanced serous ovarian cancers (19 optimal, 25 suboptimal) was evaluated with microarrays that contain >22,000 genes. Genes were screened on the basis of their association with debulking status to obtain the top 120 differentially expressed genes. These genes were then used to develop a predictive model for debulking status, which was subjected to out-of-sample cross validation. RESULTS: We found that patterns of expression of 32 genes can distinguish between optimal and suboptimal debulking with 72.7% predictive accuracy. An analysis of the data that were based on clusters of co-ordinately expressed genes resulted in only a marginal improvement in predictive accuracy (75%). CONCLUSION: These data support the hypothesis that favorable survival that is associated with optimal debulking of advanced ovarian cancers is due to, at least in part, the underlying biologic characteristics of these cancers.

Biomarkers, Tumor↗
PubMed2004

Gene expression patterns that characterize advanced stage serous ovarian cancers.

OBJECTIVE: To identify gene expression patterns that characterize advanced stage serous ovarian cancers by using microarray expression analysis. METHODS: Using genome-wide expression analysis, we compared a series of 31 advanced stage (III or IV) serous ovarian cancers from patients who survived either less than 2 years or more than 7 years with three normal ovarian epithelial samples. Array findings were validated by analysis of expression of the insulin-like growth factor binding protein 2 (IGFBP2) and tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) genes using quantitative real-time polymerase chain reaction (QRT-PCR). RESULTS: Hierarchical clustering identified patterns of gene expression that distinguished cancer from normal ovarian epithelium. We also identified gene expression patterns that distinguish cancers on the basis of patient survival. These genes include many that are associated with immune function. Expression of IGFBP2 and TRAIL genes measured by array and QRT-PCR analysis demonstrated correlation coefficients of 0.63 and 0.78, respectively. CONCLUSION: Global expression analysis can identify expression patterns and individual genes that contribute to ovarian cancer development and outcome. Many of the genes that determine ovarian cancer survival are associated with the immune response, suggesting that immune function influences ovarian cancer virulence. With the generation of newer arrays with more transcripts, larger studies are possible to fully characterize genetic signatures that predict survival that may ultimately be used to guide therapeutic decision-making.

Apoptosis Regulatory Proteins↗
PubMed2004

Cell cycle progression in G1 and S phases is CCR4 dependent following ionizing radiation or replication stress in Saccharomyces cerevisiae.

To identify new nonessential genes that affect genome integrity, we completed a screening for diploid mutant Saccharomyces cerevisiae strains that are sensitive to ionizing radiation (IR) and found 62 new genes that confer resistance. Along with those previously reported (Bennett et al., Nat. Genet. 29:426-434, 2001), these genes bring to 169 the total number of new IR resistance genes identified. Through the use of existing genetic and proteomic databases, many of these genes were found to interact in a damage response network with the transcription factor Ccr4, a core component of the CCR4-NOT and RNA polymerase-associated factor 1 (PAF1)-CDC73 transcription complexes. Deletions of individual members of these two complexes render cells sensitive to the lethal effects of IR as diploids, but not as haploids, indicating that the diploid G1 cell population is radiosensitive. Consistent with a role in G1, diploid ccr4Delta cells irradiated in G1 show enhanced lethality compared to cells exposed as a synchronous G2 population. In addition, a prolonged RAD9-dependent G1 arrest occurred following IR of ccr4Delta cells and CCR4 is a member of the RAD9 epistasis group, thus confirming a role for CCR4 in checkpoint control. Moreover, ccr4Delta cells that transit S phase in the presence of the replication inhibitor hydroxyurea (HU) undergo prolonged cell cycle arrest at G2 followed by cellular lysis. This S-phase replication defect is separate from that seen for rad52 mutants, since rad52Delta ccr4Delta cells show increased sensitivity to HU compared to rad52Delta or ccr4Delta mutants alone. These results indicate that cell cycle transition through G1 and S phases is CCR4 dependent following radiation or replication stress.

Cell Cycle Proteins↗
PubMed2004

Acquired expression of periostin by human breast cancers promotes tumor angiogenesis through up-regulation of vascular endothelial growth factor receptor 2 expression.

The late stages of human breast cancer development are poorly understood complex processes associated with the expression of genes by cancers that promote specific tumorigenic activities, such as angiogenesis. Here, we describe the identification of periostin as a mesenchyme-specific gene whose acquired expression by human breast cancers leads to a significant enhancement in tumor progression and angiogenesis. Undetectable in normal human breast tissues, periostin was found to be overexpressed by the vast majority of human primary breast cancers examined. Tumor cell lines engineered to overexpress periostin showed a phenotype of accelerated growth and angiogenesis as xenografts in immunocompromised animals. The underlying mechanism of periostin-mediated induction of angiogenesis was found to derive in part from the up-regulation of the vascular endothelial growth factor receptor Flk-1/KDR by endothelial cells through an integrin alpha(v)beta(3)-focal adhesion kinase-mediated signaling pathway. These findings demonstrate the presence of a novel mechanism by which tumor angiogenesis is acquired with the expression of a mesenchyme-specific gene as a crucial step in late stages of tumorigenesis.

Animals↗
PubMed2004

TAFII70 isoform-specific growth suppression correlates with its ability to complex with the GADD45a protein.

TAFII70, a member of the basal transcription complex implicated in p53-mediated transcription, is synthesized as several alternately spliced variants. The predominant forms found in normal and neoplastic breast epithelial cells are shown to be 72 kDa (TAFII70) and 78 kDa (TAFII80). Most cancers express higher levels of the TAFII80 isoform, whereas normal breast epithelia express higher levels of the TAFII70 isoform. Expression of TAFII70, but not TAFII80, causes dramatic growth suppression of normal and transformed breast epithelial cell lines in a p53-independent manner. Growth suppression correlates with mitotic inhibition resulting from an increased number of cells in G2. Both isoforms induce expression of the G2 arrest associated gene, GADD45a, but a novel protein-protein interaction was observed between TAFII70 (not TAFII80) and GADD45a, suggesting that this interaction is important for the observed growth arrest phenotype induced by the TAFII70 isoform. GADD45a null cells are not subject to TAFII70 inhibition, further supporting the relevance of this interaction.

Amino Acid Sequence↗
PubMed2003

Genomic amplification and oncogenic properties of the KCNK9 potassium channel gene.

Representational difference analysis (RDA) of human breast cancer was used to discover a novel amplicon located at chromosomal region 8q24.3. We examined a series of breast cancer samples harboring amplification of this region and determined that KCNK9 is the sole overexpressed gene within the amplification epicenter. KCNK9 encodes a potassium channel that is amplified from 3-fold to 10-fold in 10% of breast tumors and overexpressed from 5-fold to over 100-fold in 44% of breast tumors. Overexpression of KCNK9 in cell lines promotes tumor formation and confers resistance to both hypoxia and serum deprivation, suggesting that its amplification and overexpression plays a physiologically important role in human breast cancer.

Animals↗
PubMed2002

BRCA2 monoclonal antibodies react with differentiating epithelium.

The BRCA2 gene has previously been suggested to play a role in proliferation and DNA repair. Germline mutations in the BRCA2 gene predispose individuals to early onset, hereditary breast cancer. To better understand the expression pattern and function of the BRCA2 gene product, we have developed immunological reagents specific for BRCA2. These reagents recognize full-length (384 kDa) recombinant human BRCA2 proteins in transfected cell lysates as well as multiple smaller recombinant BRCA2 polypeptides. Detection of native BRCA2 protein in most tissue types, including breast epithelium, requires sensitive techniques such as immunoprecipitation-Western blot analysis. However, we have demonstrated strong reactivity of our immunological reagents with differentiating epithelium, including epidermis, thymic epithelium, and squamous cell carcinoma. These data suggest that BRCA2 may play a role in processes associated with cellular differentiation, in addition to its previously suggested roles in proliferation and DNA repair.

Animals↗
PubMed2002

Prediction and uncertainty in the analysis of gene expression profiles.

We have developed a complete statistical model for the analysis of tumor specific gene expression profiles. The approach provides investigators with a global overview on large scale gene expression data, indicating aspects of the data that relate to tumor phenotype, but also summarizing the uncertainties inherent in classification of tumor types. We demonstrate the use of this method in the context of a gene expression profiling study of 27 human breast cancers. The study is aimed at defining molecular characteristics of tumors that reflect estrogen receptor tatus. In addition to good predictive performance with respect to pure classification of the expression profiles, the model also uncovers conflicts in the data with respect to the classification of some of the tumors, highlighting them as critical cases for which additional investigations are appropriate.

Bayes Theorem↗