DualChip®microarray as a new tool in cancer research

Multidrug resistance-linked gene signature predicts overall survival of patients with primary ovarian serous carcinoma

PURPOSE

This study assesses the ability of multidrug resistance (MDR)-associated gene expression patterns to predict survival in patients with newly diagnosed carcinoma of the ovary. The scope of this research differs substantially from that of previous reports, as a very large set of genes was evaluated whose expression has been shown to affect response to chemotherapy.

EXPERIMENTAL DESIGN

We applied a customized TaqMan low density array, a highly sensitive and specific assay, to study the expression profiles of 380 MDR-linked genes in 80 tumor specimens collected at initial surgery to debulk primary serous carcinoma. The RNA expression profiles of these drug resistance genes were correlated with clinical outcomes.

RESULTS

Leave-one-out cross-validation was used to estimate the ability of MDR gene expression to predict survival. Although gene expression alone does not predict overall survival (OS; P = 0.06), four covariates (age, stage, CA125 level, and surgical debulking) do (P = 0.03). When gene expression was added to the covariates, we found an 11-gene signature that provides a major improvement in OS prediction (log-rank statistic P < 0.003). The predictive power of this 11-gene signature was confirmed by dividing high- and low-risk patient groups, as defined by their clinical covariates, into four specific risk groups on the basis of expression levels.

CONCLUSION

This study reveals an 11-gene signature that allows a more precise prognosis for patients with serous cancer of the ovary treated with carboplatin- and paclitaxel-based therapy. These 11 new targets offer opportunities for new therapies to improve clinical outcome in ovarian cancer.

Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance

Although in vitro models have been a cornerstone of anti-cancer drug development, their direct applicability to clinical cancer research has been uncertain. Using a state-of-the-art Taqman-based quantitative RT-PCR assay, we investigated the multidrug resistance (MDR) transcriptome of six cancer types, in established cancer cell lines (grown in monolayer, 3D scaffold, or in xenograft) and clinical samples, either containing >75% tumor cells or microdissected. The MDR transcriptome was determined a priori based on an extensive curation of the literature published during the last three decades, which led to the enumeration of 380 genes. No correlation was found between clinical samples and established cancer cell lines. As expected, we found up-regulation of genes that would facilitate survival across all cultured cancer cell lines evaluated. More troubling, however, were data showing that all of the cell lines, grown either in vitro or in vivo, bear more resemblance to each other, regardless of the tissue of origin, than to the clinical samples they are supposed to model. Although cultured cells can be used to study many aspects of cancer biology and response of cells to drugs, this study emphasizes the necessity for new in vitro cancer models and the use of primary tumor models in which gene expression can be manipulated and small molecules tested in a setting that more closely mimics the in vivo cancer microenvironment so as to avoid radical changes in gene expression profiles brought on by extended periods of cell culture.

Advances in the molecular detection of ABC transporters involved in multidrug resistance in cancer

ATP-Binding Cassette (ABC) transporters are important mediators of multidrug resistance (MDR) in patients with cancer. Although their role in MDR has been extensively studied in vitro, their value in predicting response to chemotherapy has yet to be fully determined. Establishing a molecular diagnostic assay dedicated to the quantitation of ABC transporter genes is therefore critical to investigate their involvement in clinical MDR. In this article, we provide an overview of the methodologies that have been applied to analyze the mRNA expression levels of ABC transporters, by describing the technology, its pros and cons, and the experimental protocols that have been followed. We also discuss recent studies performed in our laboratory that assess the ability of the currently available high-throughput gene expression profiling platforms to discriminate between highly homologous genes. This work led to the conclusion that high-throughput TaqMan-based qRT-PCR platforms provide standardized clinical assays for the molecular detection of ABC transporters and other families of highly homologous MDR-linked genes encoding, for example, the uptake transporters (solute carriers-SLCs) and the phase I and II metabolism enzymes.

Expression profiling of senescent-associated genes in human dermis from young and old donors. Proof-of-concept study

It is often described that it is difficult to really discriminate the cause of intrinsic skin aging. The aim of this study was to compare the profiles of expression of senescence-associated genes in biopsies of dermis from young and old human donors. TGF-beta1 was up-regulated in the dermis of old donors as well as the TGF-beta1-regulated genes. The anti-oxidant enzymes Selenium-dependent Glutathione peroxidase and Glutatione S-Transferase Theta 1 were also up-regulated in old dermis as well as Tumor Necrosis Factor Receptor Superfamily 1A. None of these genes had altered expression level in skin fibroblasts embedded in a collagen matrix and exposed to sublethal doses of UVB, suggesting their involvement in intrinsic aging. This study represents a proof-of-concept of larger whole transcriptome studies where all avenues should be used to subtract changes in gene expression due to extrinsic aging from changes potentially due to intrinsic aging.

Gene expression signature in peripheral blood cells from medical students exposed to chronic psychological stress

To assess response to chronic psychological stress, gene expression profiles in peripheral blood from 18 medical students confronting license examination were analyzed using an original microarray. Total RNA was collected from each subject 9 months before the examination and mixed to be used as a universal control. At that time, most students had normal scores on the state-trait anxiety inventory (STAI). However, STAI scores were significantly elevated at 2 months and at 2 days before the examination. Pattern of the gene expression profile was more uniform 2 days before than 2 months before the examination. We identified 24 genes that significantly and uniformly changed from the universal control 2 days before the examination. Of the 24 genes, real-time PCR validated changes in mRNA levels of 10 (PLCB2, CSF3R, ARHGEF1, DPYD, CTNNB1, PPP3CA, POLM, IRF3, TP53, and CCNI). The identified genes may be useful to assess chronic psychological stress response.

Physical exercise-associated gene expression signatures in peripheral blood

OBJECTIVE

To assess response to physical stress, gene expression profiles in peripheral blood cells were analyzed using an original microarray carrying 1467 stress-responsive complementary DNA probes.

DESIGN

Gene expression was analyzed at 4, 24, and 48 hours after exercising on a cycle ergometer at 60% VO2 max for 1 hour (aerobic exercise) or until exhausted (exhaustive exercise).

SETTING

Institute of Health Biosciences, University of Tokushima Graduate School.

PARTICIPANTS

Twelve healthy male students of the postgraduate or undergraduate school.

INTERVENTIONS

The volunteers performed the aerobic or exhaustive exercise on a cycle ergometer.

MAIN OUTCOME MEASUREMENTS

Detection of aerobic exercise-responsive or exhaustive exercise-responsive genes in peripheral blood cells.

RESULTS

Aerobic and exhaustive exercise transiently changed the expression of 21 and 16 genes, respectively, with the peak at 4 hours. Only 2 genes significantly responded to both types of exercise. Exhaustive but not aerobic exercise produced a secondary response with significantly altered expression of 14 genes at 24 hours. Five of those genes encode receptors for neurotransmitters (HTR1A, CHRNB2, GABRB3, GABRG3, and LOC51289).

CONCLUSIONS

The behavior of the individual genes shown here may be informative to objectively assess acute physical stress and exhaustion-associated responses.