Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kenneth J. Pienta is active.

Publication


Featured researches published by Kenneth J. Pienta.


Nature | 2002

The polycomb group protein EZH2 is involved in progression of prostate cancer

Sooryanarayana Varambally; Saravana M. Dhanasekaran; Ming Zhou; Terrence R. Barrette; Chandan Kumar-Sinha; Martin G. Sanda; Debashis Ghosh; Kenneth J. Pienta; Richard George Antonius Bernardus Sewalt; Arie P. Otte; Mark A. Rubin; Arul M. Chinnaiyan

Prostate cancer is a leading cause of cancer-related death in males and is second only to lung cancer. Although effective surgical and radiation treatments exist for clinically localized prostate cancer, metastatic prostate cancer remains essentially incurable. Here we show, through gene expression profiling, that the polycomb group protein enhancer of zeste homolog 2 (EZH2) is overexpressed in hormone-refractory, metastatic prostate cancer. Small interfering RNA (siRNA) duplexes targeted against EZH2 reduce the amounts of EZH2 protein present in prostate cells and also inhibit cell proliferation in vitro. Ectopic expression of EZH2 in prostate cells induces transcriptional repression of a specific cohort of genes. Gene silencing mediated by EZH2 requires the SET domain and is attenuated by inhibiting histone deacetylase activity. Amounts of both EZH2 messenger RNA and EZH2 protein are increased in metastatic prostate cancer; in addition, clinically localized prostate cancers that express higher concentrations of EZH2 show a poorer prognosis. Thus, dysregulated expression of EZH2 may be involved in the progression of prostate cancer, as well as being a marker that distinguishes indolent prostate cancer from those at risk of lethal progression.


Clinical Cancer Research | 2008

Circulating Tumor Cells Predict Survival Benefit from Treatment in Metastatic Castration-Resistant Prostate Cancer

Johann S. de Bono; Howard I. Scher; R. Bruce Montgomery; Chris Parker; M. Craig Miller; Henk Tissing; Gerald V. Doyle; Leon W.W.M. Terstappen; Kenneth J. Pienta; Derek Raghavan

Purpose: A method for enumerating circulating tumor cells (CTC) has received regulatory clearance. The primary objective of this prospective study was to establish the relationship between posttreatment CTC count and overall survival (OS) in castration-resistant prostate cancer (CRPC). Secondary objectives included determining the prognostic utility of CTC measurement before initiating therapy, and the relationship of CTC to prostate-specific antigen (PSA) changes and OS at these and other time points. Experimental Design: Blood was drawn from CRPC patients with progressive disease starting a new line of chemotherapy before treatment and monthly thereafter. Patients were stratified into predetermined Favorable or Unfavorable groups (<5 and ≥5 CTC/7.5mL). Results: Two hundred thirty-one of 276 enrolled patients (84%) were evaluable. Patients with Unfavorable pretreatment CTC (57%) had shorter OS (median OS, 11.5 versus 21.7 months; Cox hazard ratio, 3.3; P < 0.0001). Unfavorable posttreatment CTC counts also predicted shorter OS at 2 to 5, 6 to 8, 9 to 12, and 13 to 20 weeks (median OS, 6.7-9.5 versus 19.6-20.7 months; Cox hazard ratio, 3.6-6.5; P < 0.0001). CTC counts predicted OS better than PSA decrement algorithms at all time points; area under the receiver operator curve for CTC was 81% to 87% and 58% to 68% for 30% PSA reduction (P = 0.0218). Prognosis for patients with (a) Unfavorable baseline CTC who converted to Favorable CTC improved (6.8 to 21.3 months); (b) Favorable baseline CTC who converted to Unfavorable worsened (>26 to 9.3 months). Conclusions: CTC are the most accurate and independent predictor of OS in CRPC. These data led to Food and Drug Administration clearance of this assay for the evaluation of CRPC.


Nature | 2012

The mutational landscape of lethal castration-resistant prostate cancer

Catherine S. Grasso; Yi Mi Wu; Dan R. Robinson; Xuhong Cao; Saravana M. Dhanasekaran; Amjad P. Khan; Michael J. Quist; Xiaojun Jing; Robert J. Lonigro; J. Chad Brenner; Irfan A. Asangani; Bushra Ateeq; Sang Y. Chun; Javed Siddiqui; Lee Sam; Matt Anstett; Rohit Mehra; John R. Prensner; Nallasivam Palanisamy; Gregory A Ryslik; Fabio Vandin; Benjamin J. Raphael; Lakshmi P. Kunju; Daniel R. Rhodes; Kenneth J. Pienta; Arul M. Chinnaiyan; Scott A. Tomlins

Characterization of the prostate cancer transcriptome and genome has identified chromosomal rearrangements and copy number gains and losses, including ETS gene family fusions, PTEN loss and androgen receptor (AR) amplification, which drive prostate cancer development and progression to lethal, metastatic castration-resistant prostate cancer (CRPC). However, less is known about the role of mutations. Here we sequenced the exomes of 50 lethal, heavily pre-treated metastatic CRPCs obtained at rapid autopsy (including three different foci from the same patient) and 11 treatment-naive, high-grade localized prostate cancers. We identified low overall mutation rates even in heavily treated CRPCs (2.00 per megabase) and confirmed the monoclonal origin of lethal CRPC. Integrating exome copy number analysis identified disruptions of CHD1 that define a subtype of ETS gene family fusion-negative prostate cancer. Similarly, we demonstrate that ETS2, which is deleted in approximately one-third of CRPCs (commonly through TMPRSS2:ERG fusions), is also deregulated through mutation. Furthermore, we identified recurrent mutations in multiple chromatin- and histone-modifying genes, including MLL2 (mutated in 8.6% of prostate cancers), and demonstrate interaction of the MLL complex with the AR, which is required for AR-mediated signalling. We also identified novel recurrent mutations in the AR collaborating factor FOXA1, which is mutated in 5 of 147 (3.4%) prostate cancers (both untreated localized prostate cancer and CRPC), and showed that mutated FOXA1 represses androgen signalling and increases tumour growth. Proteins that physically interact with the AR, such as the ERG gene fusion product, FOXA1, MLL2, UTX (also known as KDM6A) and ASXL1 were found to be mutated in CRPC. In summary, we describe the mutational landscape of a heavily treated metastatic cancer, identify novel mechanisms of AR signalling deregulated in prostate cancer, and prioritize candidates for future study.


Nature | 2007

Distinct classes of chromosomal rearrangements create oncogenic ETS gene fusions in prostate cancer.

Scott A. Tomlins; Bharathi Laxman; Saravana M. Dhanasekaran; Beth E. Helgeson; Xuhong Cao; David S. Morris; Anjana Menon; Xiaojun Jing; Qi Cao; Bo Han; Jindan Yu; Lei Wang; James E. Montie; Mark A. Rubin; Kenneth J. Pienta; Diane Roulston; Rajal B. Shah; Sooryanarayana Varambally; Rohit Mehra; Arul M. Chinnaiyan

Recently, we identified recurrent gene fusions involving the 5′ untranslated region of the androgen-regulated gene TMPRSS2 and the ETS (E26 transformation-specific) family genes ERG, ETV1 or ETV4 in most prostate cancers. Whereas TMPRSS2–ERG fusions are predominant, fewer TMPRSS2–ETV1 cases have been identified than expected on the basis of the frequency of high (outlier) expression of ETV1 (refs 3–13). Here we explore the mechanism of ETV1 outlier expression in human prostate tumours and prostate cancer cell lines. We identified previously unknown 5′ fusion partners in prostate tumours with ETV1 outlier expression, including untranslated regions from a prostate-specific androgen-induced gene (SLC45A3) and an endogenous retroviral element (HERV-K_22q11.23), a prostate-specific androgen-repressed gene (C15orf21), and a strongly expressed housekeeping gene (HNRPA2B1). To study aberrant activation of ETV1, we identified two prostate cancer cell lines, LNCaP and MDA-PCa 2B, that had ETV1 outlier expression. Through distinct mechanisms, the entire ETV1 locus (7p21) is rearranged to a 1.5-megabase prostate-specific region at 14q13.3–14q21.1 in both LNCaP cells (cryptic insertion) and MDA-PCa 2B cells (balanced translocation). Because the common factor of these rearrangements is aberrant ETV1 overexpression, we recapitulated this event in vitro and in vivo, demonstrating that ETV1 overexpression in benign prostate cells and in the mouse prostate confers neoplastic phenotypes. Identification of distinct classes of ETS gene rearrangements demonstrates that dormant oncogenes can be activated in prostate cancer by juxtaposition to tissue-specific or ubiquitously active genomic loci. Subversion of active genomic regulatory elements may serve as a more generalized mechanism for carcinoma development. Furthermore, the identification of androgen-repressed and insensitive 5′ fusion partners may have implications for the anti-androgen treatment of advanced prostate cancer.


Cancer Research | 2004

Androgen-Independent Prostate Cancer Is a Heterogeneous Group of Diseases Lessons from a Rapid Autopsy Program

Rajal B. Shah; Rohit Mehra; Arul M. Chinnaiyan; Ronglai Shen; Debashis Ghosh; Ming Zhou; Gary R. MacVicar; Soorynarayana Varambally; Jason Harwood; Tarek A. Bismar; Robert Kim; Mark A. Rubin; Kenneth J. Pienta

Understanding the biology of prostate cancer metastasis has been limited by the lack of tissue for study. We studied the clinical data, distribution of prostate cancer involvement, morphology, immunophenotypes, and gene expression from 30 rapid autopsies of men who died of hormone-refractory prostate cancer. A tissue microarray was constructed and quantitatively evaluated for expression of prostate-specific antigen, androgen receptor, chromogranin, synaptophysin, MIB-1, and α-methylacylCoA-racemase markers. Hierarchical clustering of 16 rapid autopsy tumor samples was performed to evaluate the cDNA expression pattern associated with the morphology. Comparisons were made between patients as well as within the same patient. Metastatic hormone-refractory prostate cancer has a heterogeneous morphology, immunophenotype, and genotype, demonstrating that “metastatic disease” is a group of diseases even within the same patient. An appreciation of this heterogeneity is critical to evaluating diagnostic and prognostic biomarkers as well as to designing therapeutic targets for advanced disease.


Proceedings of the National Academy of Sciences of the United States of America | 2008

Temporal activation of p53 by a specific MDM2 inhibitor is selectively toxic to tumors and leads to complete tumor growth inhibition

Sanjeev Shangary; Dongguang Qin; Donna McEachern; Meilan Liu; Rebecca Miller; Su Qiu; Zaneta Nikolovska-Coleska; Ke Ding; Guoping Wang; Jianyong Chen; Denzil Bernard; Jian Zhang; Yipin Lu; Qingyang Gu; Rajal B. Shah; Kenneth J. Pienta; Xiaolan Ling; Sanmao Kang; Ming Guo; Yi Sun; Dajun Yang; Shaomeng Wang

We have designed MI-219 as a potent, highly selective and orally active small-molecule inhibitor of the MDM2–p53 interaction. MI-219 binds to human MDM2 with a Ki value of 5 nM and is 10,000-fold selective for MDM2 over MDMX. It disrupts the MDM2–p53 interaction and activates the p53 pathway in cells with wild-type p53, which leads to induction of cell cycle arrest in all cells and selective apoptosis in tumor cells. MI-219 stimulates rapid but transient p53 activation in established tumor xenograft tissues, resulting in inhibition of cell proliferation, induction of apoptosis, and complete tumor growth inhibition. MI-219 activates p53 in normal tissues with minimal p53 accumulation and is not toxic to animals. MI-219 warrants clinical investigation as a new agent for cancer treatment.


Science Translational Medicine | 2011

Personalized Oncology Through Integrative High-Throughput Sequencing: A Pilot Study

Sameek Roychowdhury; Matthew K. Iyer; Dan R. Robinson; Robert J. Lonigro; Yi Mi Wu; Xuhong Cao; Shanker Kalyana-Sundaram; Lee Sam; O. Alejandro Balbin; Michael J. Quist; Terrence R. Barrette; Jessica Everett; Javed Siddiqui; Lakshmi P. Kunju; Nora M. Navone; John C. Araujo; Patricia Troncoso; Christopher J. Logothetis; Jeffrey W. Innis; David C. Smith; Christopher D. Lao; Scott Y. H. Kim; J. Scott Roberts; Stephen B. Gruber; Kenneth J. Pienta; Moshe Talpaz; Arul M. Chinnaiyan

The mutations present in advanced cancers can be identified by integrative high-throughput sequencing to enable biomarker-driven clinical trials and, ultimately, treatment. First Steps to Personalized Cancer Treatment In an optimistic vision of personalized medicine, each cancer patient is treated with drugs tailored for their particular tumor. This sounds appealing, but is it even possible? Roychowdhury and his colleagues tested this approach by extensively characterizing cancers in several patients and then convening a Sequencing Tumor Board of experts to determine the appropriate treatment. With a combination of whole genome and exome sequencing plus sequencing of transcribed RNA, the authors were able to find informative mutations within 3 to 4 weeks, a short enough time to be useful clinically. To verify that their sequencing strategy would work before testing it on actual patients, they assessed two xenografts established from patients with metastatic prostate cancer. They found that one of these carried the common prostate cancer–specific gene fusion of TMPRSS2 and ERG and another, previously undescribed, gene fusion. Also, the androgen receptor gene was amplified and two tumor suppressors were inactivated. The Board concluded that this pattern of mutations could in theory be treated by combined block of the PI3K and androgen receptor signaling pathways. The authors then turned to an actual patient, a 46 year old with colorectal cancer, who had been unsuccessfully treated. Characterization of his metastatic tumor showed mutations in the oncogene NRAS, the tumor suppressor TP53, aurora kinase A, a myosin heavy chain and the FAS death receptor, plus amplification of CDK8. Of these, the Sequencing Tumor Board concluded that the NRAS and CDK8 aberrations could potentially be matched to clinical trials, although none were available at the time. Similar analysis of another patient with metastatic melanoma revealed a structural rearrangement in CDKN2C and HRas. Although the HRAS mutation has not been described before in melanoma, the Sequencing Tumor Board suggested that combined treatment with PI3K and MEK inhibitors would be suitable for this patient. The good news resulting from these studies was that the patients’ tumors were analyzed with in 24 days for ~


Urology | 1997

MEASURING QUALITY OF LIFE IN MEN WITH PROSTATE CANCER USING THE FUNCTIONAL ASSESSMENT OF CANCER THERAPY-PROSTATE INSTRUMENT

Peg Esper; Fei Mo; Gerald Chodak; Michael Sinner; David Cella; Kenneth J. Pienta

3600, well within the cost of routine clinical tests. But aspects need improvement: Additional testing for epigenetic and small RNA variants will allow more informative characterization. Sequencing at higher depth or enrichment methods will be needed for tumors of lower purity. And perhaps most important, we need a broader array of clinical trials, as highlighted by the fact that none was available for these two patients. Individual cancers harbor a set of genetic aberrations that can be informative for identifying rational therapies currently available or in clinical trials. We implemented a pilot study to explore the practical challenges of applying high-throughput sequencing in clinical oncology. We enrolled patients with advanced or refractory cancer who were eligible for clinical trials. For each patient, we performed whole-genome sequencing of the tumor, targeted whole-exome sequencing of tumor and normal DNA, and transcriptome sequencing (RNA-Seq) of the tumor to identify potentially informative mutations in a clinically relevant time frame of 3 to 4 weeks. With this approach, we detected several classes of cancer mutations including structural rearrangements, copy number alterations, point mutations, and gene expression alterations. A multidisciplinary Sequencing Tumor Board (STB) deliberated on the clinical interpretation of the sequencing results obtained. We tested our sequencing strategy on human prostate cancer xenografts. Next, we enrolled two patients into the clinical protocol and were able to review the results at our STB within 24 days of biopsy. The first patient had metastatic colorectal cancer in which we identified somatic point mutations in NRAS, TP53, AURKA, FAS, and MYH11, plus amplification and overexpression of cyclin-dependent kinase 8 (CDK8). The second patient had malignant melanoma, in which we identified a somatic point mutation in HRAS and a structural rearrangement affecting CDKN2C. The STB identified the CDK8 amplification and Ras mutation as providing a rationale for clinical trials with CDK inhibitors or MEK (mitogen-activated or extracellular signal–regulated protein kinase kinase) and PI3K (phosphatidylinositol 3-kinase) inhibitors, respectively. Integrative high-throughput sequencing of patients with advanced cancer generates a comprehensive, individual mutational landscape to facilitate biomarker-driven clinical trials in oncology.


Lancet Oncology | 2009

Circulating tumour cells as prognostic markers in progressive, castration-resistant prostate cancer: a reanalysis of IMMC38 trial data

Howard I. Scher; Xiaoyu Jia; Johann S. de Bono; Martin Fleisher; Kenneth J. Pienta; Derek Raghavan; Glenn Heller

OBJECTIVES As the incidence of prostate cancer in the United States exceeds 330,000 in 1997, increasingly more men are faced with treatment choices for which there is no clear approach. At every stage of disease, these treatment choices may involve clinically equivalent modalities that differ in side effects and impact upon quality of life (QOL). Comprehensive, yet efficient, questionnaires are needed to measure QOL in patients with prostate cancer. METHODS Developed as a disease-specific adjunct to the Functional Assessment of Cancer Therapy (FACT) measurement system, a 12-item prostate cancer subscale (PCS) was developed and tested in three independent samples: a subscale development sample (n = 43), validity sample 1 (n = 34), and validity sample 2 (n = 96). The 12 items ask about symptoms and problems specific to prostate cancer. These questions are added to the general (FACT-G) instrument, thereby comprising a 47-item questionnaire. RESULTS Internal consistency of the PCS ranged from 0.65 to 0.69, with coefficients for FACT-G subscales and aggregated scores ranging from 0.61 to 0.90. Concurrent validity was confirmed by the ability to discriminate patients by disease stage, performance status, and baseline prostate-specific antigen (PSA) level. Sensitivity to change in performance status and PSA score over a 2-month period suggested that some subscales of the FACT-Prostate (P) (including the PCS) are sensitive to meaningful clinical change. CONCLUSIONS Our findings support use of the FACT-P as a meaningful component of QOL evaluation in men undergoing therapy for prostate cancer.


Journal of Clinical Investigation | 2011

Human prostate cancer metastases target the hematopoietic stem cell niche to establish footholds in mouse bone marrow

Yusuke Shiozawa; Elisabeth A. Pedersen; Aaron M. Havens; Younghun Jung; Anjali Mishra; Jeena Joseph; Jin Koo Kim; Lalit Patel; Chi Ying; Anne M. Ziegler; Michael J. Pienta; Junhui Song; Jingcheng Wang; Robert D. Loberg; Paul H. Krebsbach; Kenneth J. Pienta; Russell S. Taichman

BACKGROUND Intermediate or surrogate endpoints for survival can shorten time lines for drug approval. We aimed to assess circulating tumour cell (CTC) count as a prognostic factor for survival in patients with progressive, metastatic, castration-resistant prostate cancer receiving first-line chemotherapy. METHODS We identified patients with progressive metastatic castration-resistant prostate cancer starting first-line chemotherapy in the IMMC38 trial. CTCs were isolated by immunomagnetic capture from blood samples at baseline and after treatment. Baseline variables, including CTC count, titre of prostate-specific antigen (PSA), and concentration of lactate dehydrogenase (LDH), and post-treatment variables (change in CTCs and PSA) were tested for association with survival with Cox proportional hazards models. Concordance probability estimates were used to gauge discriminatory strength of the informative factors in identifying patients at low-risk and high-risk of survival. FINDINGS Variables associated with high risk of death were high LDH concentration (hazard ratio 6.44, 95% CI 4.24-9.79), high CTC count (1.58, 1.41-1.77), and high PSA titre (1.26, 1.10-1.45), low albumin (0.10, 0.03-0.39), and low haemoglobin (0.72, 0.64-0.81) at baseline. At 4 weeks, 8 weeks, and 12 weeks after treatment, changes in CTC number were strongly associated with risk, whereas changes in PSA titre were weakly or not associated (p>0.04). The most predictive factors for survival were LDH concentration and CTC counts (concordance probability estimate 0.72-0.75). INTERPRETATION CTC number, analysed as a continuous variable, can be used to monitor disease status and might be useful as an intermediate endpoint of survival in clinical trials. Prospective recording of CTC number as an intermediate endpoint of survival in randomised clinical trials is warranted.

Collaboration


Dive into the Kenneth J. Pienta's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Rohit Mehra

University of Michigan

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Michael A. Gorin

Johns Hopkins University School of Medicine

View shared research outputs
Researchain Logo
Decentralizing Knowledge