Gennadi V. Glinsky

Gene expression profiling predicts clinical outcome of prostate cancer.

One of the major problems in management of prostate cancer is the lack of reliable genetic markers predicting the clinical course of the disease. We analyzed expression profiles of 12,625 transcripts in prostate tumors from patients with distinct clinical outcomes after therapy as well as metastatic human prostate cancer xenografts in nude mice. We identified small clusters of genes discriminating recurrent versus nonrecurrent disease with 90% and 75% accuracy in two independent cohorts of patients. We examined one group of samples (21 tumors) to discover the recurrence predictor genes and then validated the predictive power of these genes in a different set (79 tumors). Kaplan-Meier analysis demonstrated that recurrence predictor signatures are highly informative (P < 0.0001) in stratification of patients into subgroups with distinct relapse-free survival after therapy. A gene expression-based recurrence predictor algorithm was informative in predicting the outcome in patients with early-stage disease, with either high or low preoperative prostate-specific antigen levels and provided additional value to the outcome prediction based on Gleason sum or multiparameter nomogram. Overall, 88% of patients with recurrence of prostate cancer within 1 year after therapy were correctly classified into the poor-prognosis group. The identified algorithm provides additional predictive value over conventional markers of outcome and appears suitable for stratification of prostate cancer patients at the time of diagnosis into subgroups with distinct survival probability after therapy.

Increased Expression of Apoptosis Inhibitor Protein XIAP Contributes to Anoikis Resistance of Circulating Human Prostate Cancer Metastasis Precursor Cells

Survival in lymph or blood is an essential prerequisite for metastasis of carcinoma cells to distant organs. Recently, we reported isolation and initial biological characterization of circulating metastatic cells in a fluorescent, orthotopic, metastatic nude-mouse model of human prostate cancer. Here we show that the metastatic human prostate carcinoma cells selected for survival in the circulation have increased resistance to anoikis, which is apoptosis induced by cell detachment. Using gene silencing and gene transfer techniques, we show that increased expression of the apoptosis inhibitory protein XIAP contributes to anoikis resistance of the circulating metastatic human prostate carcinoma cells. We also provide initial preclinical data on the antimetastatic efficacy of recently discovered small-molecule antagonists of XIAP.

Essential Role for Activation of the Polycomb Group (PcG) Protein Chromatin Silencing Pathway in Metastatic Prostate Cancer

The Polycomb-group (PcG) gene BMI1 is required for the proliferation and self-renewal of normal and leukemic stem cells. Overexpression of the BMI1 oncogene causes neoplastic transformation of lymphocytes and plays an essential role in the pathogenesis of myeloid leukemia. Another PcG protein, Ezh2, was implicated in metastatic prostate and breast cancers, suggesting that PcG pathway activation is relevant for epithelial malignancies. Whether an oncogenic role of the BMI1 and PcG pathway activation may be extended beyond leukemia and may affect progression of solid tumors as well remains unknown. Here we demonstrate that activation of the BMI1 oncogene-associated PcG pathway plays an essential role in metastatic prostate cancer, thus mechanistically linking the pathogenesis of leukemia, self-renewal of stem cells, and prostate cancer metastasis. To characterize the functional status of the PcG pathway in metastatic prostate cancer, we utilized advanced cell- and whole animal-imaging technologies, gene and protein expression profiling, stable siRNA gene targeting, and tissue microarray (TMA) analysis in relevant experimental and clinical settings. We demonstrate that in multiple experimental models of metastatic prostate cancer both the BMI1 and Ezh2 genes are amplified and gene amplification is associated with increased expression of corresponding mRNAs and proteins. For the first time, we provide images of human prostate carcinoma metastasis precursor cells isolated from the circulation which overexpress both the BMI1 and Ezh2 oncoproteins. Consistent with the PcG pathway activation hypothesis, increased BMI1 and Ezh2 expression in metastatic cancer cells is associated with elevated levels of H2AubiK119 and H3metK27 histones. Quantitative immunofluorescence colocalization analysis and expression profiling experiments documented increased the BMI1 and Ezh2 expression in clinical prostate carcinoma samples and demonstrated that high levels of BMI1 and Ezh2 expression are associated with markedly increased likelihood of therapy failure and disease relapse after radical prostatectomy. Gene-silencing analysis reveals that activation of the PcG pathway is mechanistically linked with highly malignant behavior of human prostate carcinoma cells and is essential for in vivo growth and metastasis of human prostate cancer. We conclude that the results of experimental and clinical analyses indicate important biological role of PcG pathway activation in metastatic prostate cancer. Our work suggests that the PcG pathway activation is a common oncogenic event in pathogenesis of metastatic solid tumors and provides justification for development of small molecule inhibitors of the PcG chromatin silencing pathway as a novel therapeutic modality for treatment of metastatic prostate cancer.

MDA-MB-435 Human Breast Carcinoma Cell Homo- and Heterotypic Adhesion under Flow Conditions Is Mediated in Part by Thomsen-Friedenreich Antigen-Galectin-3 Interactions

The importance of Thomsen-Friedenreich antigen (T antigen)-galectin-3 interactions in adhesion of human breast carcinoma cells to the endothelium under conditions of flow was studied. Highly metastatic cells (MDA-MB-435) expressing high levels of both galectin-3 and T antigen demonstrated significantly increased adhesion to monolayers of endothelial cells compared with their non-metastatic counterpart (MDA-MB-468) in vitro. Within minutes of adhesion, the highly metastatic cells acquire the ability of enhanced homotypic adhesion, leading to the formation of multicellular aggregates at sites of attachment to endothelial cells in vitro. Treatment of cells with lactulosyl-l-leucine, a synthetic T antigen antagonist that targets galectin-3 by mimicking T antigen, caused a 60–80% inhibition of both homo- and heterotypic adhesion of MDA-MB-435 cells. Confocal microscopy and fluorescence-activated cell sorter analysis revealed redistribution of endothelial galectin-3 to the site of heterotypic intercellular contacts, whereas galectin-3 in MDA-MB-435 cells accumulated at sites of homotypic interaction. MDA-MB-435 cells also exhibited increased adhesion and intravascular retention within the microvessels of transplanted lung allografts in nude mice. T antigen and galectin-3-mediated interactions of metastatic cancer cells with endothelium under conditions of flow are characterized by a unique adhesion mechanism that qualitatively distinguishes their homo- and heterotypic adhesive behavior from other cell types such as leukocytes.

Apoptosis and metastasis: increased apoptosis resistance of metastatic cancer cells is associated with the profound deficiency of apoptosis execution mechanisms.

Programmed cell death, particularly adhesion-dependent regulation of cell survival and apoptosis, is recognized as one of the main homeostatic mechanisms designed to control cell positioning, eliminate misplaced cells and block metastatic dissemination. Recently we reported that highly metastatic cancer cells exhibit a higher resistance to the programmed cell death compared to their poorly metastatic counterparts (Cancer Lett., 101, 43-51, 1996). However, the molecular and genetic basis for the association of aggressive metastatic phenotype with resistance toward apoptosis remains to be elucidated. Here we extended our investigation on apoptosis and metastasis using a panel of nine murine and human cancer cell lines with different metastatic potential. We examined the relationship of the metastatic ability and the sensitivity to apoptosis as well as determined the status of two major apoptosis execution mechanisms (induction of nuclear Ca2+-dependent endonucleases and activation of ICE-like proteases) in cancer cells with distinct metastatic potential and different sensitivity to apoptosis. We found that high metastatic potential is strictly associated with the increased resistance to apoptosis, diminished level of nuclear Ca2+-dependent endonucleases, and significantly reduced activity of CPP32/Yama death protease. We concluded that high resistance to apoptosis of metastatic cancer cells is associated with and may depend upon the profound deficiency of major apoptosis execution mechanisms.

Genomic models of metastatic cancer: functional analysis of death-from-cancer signature genes reveals aneuploid, anoikis-resistant, metastasis-enabling phenotype with altered cell cycle control and activated Polycomb Group (PcG) protein chromatin silencing pathway.

A recent discovery of death-from-cancer signature genes identifies potential markers predicting the high likelihood of treatment failure in cancer patients. This knowledge provides the opportunity to analyze in functional terms the therapy-resistant and metastasis-enabling phenotypes of cancer cells. Here we summarize the current data regarding the biological functions of genes comprising a death-from-cancer signature. This analysis predicts that cancer cells manifesting a stem cell-like expression profile of a death-from-cancer signature would exhibit the following features: a concomitantly increased expression of certain members of inhibitor of apoptosis protein (IAP) family (Survivin and XIAP); activation of mitotic spindle check point proteins (BUB1, BUB3, KNTC2, Mad2, PLK1, PLK4, STK6/Aurora A); and elevated levels of certain cell cycle control/marker proteins (CCNB1, CCNB2, CCND1, CCNA2, CDC2, CDC25, Ki67, USP22). Consequently, these cancer cells would acquire metastasis-enabling anoikis-resistance aneuploid phenotype with aberrant cell cycle control. A functionally complementary role of multiple cooperating oncogenic pathways and the essential role of Polycomb Group (PcG) protein chromatin silencing pathway in emergence of the stem cell cancer phenotype is highlighted.

Apoptosis and metastasis: a superior resistance of metastatic cancer cells to programmed cell death

We studied the response to different external signals leading to apoptosis of several poorly and highly metastatic cell lines employing a murine B16 melanoma experimental metastasis model. We found that highly metastatic cells exhibit a superior survival ability and resistance to apoptosis compared to poorly metastatic cells which would give the former an obvious selective growth advantage during tumor progression. Our results indicate that there is a genetic link between aggressive metastatic phenotype and resistance to apoptosis.

Death-From-Cancer Signatures and Stem Cell Contribution to Metastatic Cancer

Genome-wide expression profiling studies reveal a transcriptionally distinct sub-type of human solid tumors with a marked propensity toward metastatic dissemination, highly malignant clinical behavior, and poor therapy outcome in cancer patients diagnosed with the early stage carcinomas of various origins. This sub-set of tumors acquires full metastatic potential, including an emergence and seeding of potent metastasis precursor cells, early in tumor progression. Collectively, these data suggest an early involvement in development of this transcriptionally defined sub-type of human carcinomas of a highly malignant combination of mutant alleles conferring the proclivity to metastasize and/or an engagement in transformation and tumor progression of stem cells and/or early progenitor cells. Enrichment of primary tumors with normal stem cells increases the likelihood of horizontal genomic transfer (large-scale transfer of DNA and chromatin) between stem cells and cancer cells via cell fusion and/or uptake of apoptotic bodies and generation of reprogrammed somatic cell hybrids with self-renewing highly malignant phenotype.

Classification of Human Breast Cancer Using Gene Expression Profiling as a Component of the Survival Predictor Algorithm

Purpose: Selection of treatment options with the highest likelihood of successful outcome for individual breast cancer patients is based to a large degree on accurate classification into subgroups with poor and good prognosis reflecting a different probability of disease recurrence and survival after therapy. Here we propose a breast cancer classification algorithm taking into account three main prognostic features determined at the time of diagnosis: estrogen receptor (ER) status; lymph node (LN) status; and gene expression signatures associated with distinct therapy outcome. Experimental Design: Using microarray expression profiling and quantitative reverse transcription-PCR analyses, we compared expression profiles of the 70-gene breast cancer survival signature in established breast cancer cell lines and primary breast carcinomas from cancer patients. We classified 295 breast cancer patients using 14-, 13-, 6-, and 4-gene survival predictor signatures into subgroups having statistically distinct probability of therapy failure (P < 0.0001). We evaluated the prognostic power of breast cancer survival predictor signatures alone and in combination with ER and LN status using Kaplan-Meier analysis. Results: The breast cancer survival predictor algorithm allowed highly accurate classification into subgroups with dramatically distinct 5- and 10-year survival after therapy of a large cohort of 295 breast cancer patients with either ER+ or ER− tumors as well as LN+ or LN− disease (P < 0.0001, log-rank test). Conclusions: Our data imply that quantitative laboratory tests measuring expression profiles of a limited set of identified small gene clusters may be useful in stratification of breast cancer patients at the time of diagnosis into subgroups with statistically distinct probability of positive outcome after therapy and assisting in selection of optimal treatment strategies. The estimated increase in survival due to the optimization of treatment protocols may reach many thousands of breast cancer survivors every year at the 10-year follow-up check point.

Role of rpoS (katF) in oxyR-independent regulation of hydroperoxidase I in Escherichia coli

We present evidence showing that rpoS (katF) is a regulator of katG gene transcription In an oxyR‐independent manner. Mutation of the rpoS gene in several different Escherichia coli strains caused a significant reduction in catalase HPI activity. In rpoSδoxyR double mutants, the level of HPI was considerably lower compared to the δoxyR parent strain, and was restored when transformed with an rpoS+ plasmid. Overproduction of HPI in oxyR suppressor strains was greatly diminished after inactivation of the rpoS gene and was accompanied by a substantial increase in sensitivity to menadione. Beta‐galactostdase expression from a katG::lacZ promoter was lower in rpoS strains compared to rpoS+ isogenic parents. Several δoxyR strains had detectable levels of katG transcription that was significantly diminished after rpoS gene inactivation.