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Dive into the research topics where Wei Zhang is active.

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Featured researches published by Wei Zhang.


Oncogene | 2004

Elevated expression of PCGEM1, a prostate-specific gene with cell growth-promoting function, is associated with high-risk prostate cancer patients

Gyorgy Petrovics; Wei Zhang; Mazen Makarem; Jesse P. Street; Roger R. Connelly; Leon Sun; Isabell A. Sesterhenn; Vasantha Srikantan; Judd W. Moul; Shiv Srivastava

PCGEM1 is a novel, highly prostate tissue-specific, androgen-regulated gene. Here, we demonstrate that PCGEM1 expression is significantly higher in prostate cancer (CaP) cells of African-American men than in Caucasian-American men (P=0.0002). Further, increased PCGEM1 expression associates with normal prostate epithelial cells of CaP patients with a family history of CaP (P=0.0400). PCGEM1 overexpression in LNCaP and in NIH3T3 cells promotes cell proliferation and a dramatic increase in colony formation, suggesting a biological role of PCGEM1 in cell growth regulation. Taken together, the cell proliferation/colony formation-promoting functions of PCGEM1 and the association of its increased expression with high-risk CaP patients suggest the potential roles of PCGEM1 in CaP onset/progression, especially in these high-risk groups.


Oncogene | 2002

Androgen-induced expression of endoplasmic reticulum (ER) stress response genes in prostate cancer cells

Takehiko Segawa; Martin Nau; Linda L. Xu; Rao N Chilukuri; Mazen Makarem; Wei Zhang; Gyorgy Petrovics; Isabell A. Sesterhenn; David G. McLeod; Judd W. Moul; Maryanne Vahey; Shiv Srivastava

Evaluations of androgen regulated gene (ARG) repertoire provide new insights into the androgen receptor (AR) mediated signaling at the transcriptional level. Definition of ARGs having critical functions in the biology of normal and malignant prostate should aid in identifying new bio-markers and therapeutic targets for prostate cancer (CaP). Using Affymetrix HuGene FL oligonucleotide arrays, temporal expression profiles of ARGs in widely used hormone responsive LNCaP cells, were analysed by hierarchical clustering methods and functional classification. ARGs in response to different androgen concentrations showed temporal co-regulation of genes involved in specific biochemical pathways. This study focuses on our new observations of the coordinated androgen induction of genes (NDRG1, PDIR, HERPUD1, ORP150) involved in the endoplasmic reticulum (ER) stress response pathway. Expression analysis of the two selected ER stress responsive genes, NDRG1 and HERPUD1 in primary CaPs revealed a significantly reduced tumor associated expression. Intriguing linkage of the androgen signaling to ER stress responsive genes, a protective response to protein unfolding or protein damage resulting from cellular stress signals, suggests that androgens may induce such stress signals in CaP cells. Decreased CaP associated expression of two ER stress responsive genes also suggests that possible abrogation of this pathway in prostate tumorigenesis.


Urology | 1999

Three-dimensional computer-simulated prostate models: lateral prostate biopsies increase the detection rate of prostate cancer.

John J. Bauer; Jianchao Zeng; James Weir; Wei Zhang; Isabell A. Sesterhenn; Roger R. Connelly; Seong Ki Mun; Judd W. Moul

OBJECTIVES Urologists routinely use the systematic sextant needle biopsy technique to detect prostate cancer. However, recent evidence suggests that this technique has a significant sampling error. We developed a novel three-dimensional (3D) computer-assisted prostate biopsy simulator based on whole-mounted step-sectioned radical prostatectomy specimens to compare the diagnostic accuracy of various prostate needle biopsy protocols. METHODS We obtained digital images of 201 step-sectioned whole-mounted radical prostatectomy specimens. 3D computer simulation software was developed to accurately depict the anatomy of the prostate and all individual tumor foci. Additional peripheral devices were incorporated into the system to perform interactive prostate biopsies. We obtained 18 biopsies of each prostate model to determine the detection rates of various biopsy protocols. RESULTS The 10- and 12-pattern biopsy protocols had a 99.0% detection rate; the traditional sextant biopsy protocol rate was only 72.6%. The 5-region biopsy protocol had a 90.5% detection rate and the 14-pattern, which includes all the biopsies used in the patterns above, only added 1 additional positive case (99.5%). Transitional zone and seminal vesicle biopsies did not result in a significantly increased detection rate when added to the patterns above. Only one positive model was obtained when the transitional zone biopsies were added. The lateral sextant pattern had a detection rate of 95.5%, and the 4-pattern lateral biopsy protocol had a 93.5% detection rate. CONCLUSIONS Our results suggest that all the biopsy protocols that use laterally placed biopsies based on the 5-region anatomic model are superior to the routinely used sextant prostate biopsy pattern. Lateral biopsies in the mid and apical zones of the gland are the most important.


The Journal of Urology | 1999

RACIAL DIFFERENCES IN TUMOR VOLUME AND PROSTATE SPECIFIC ANTIGEN AMONG RADICAL PROSTATECTOMY PATIENTS

Judd W. Moul; Roger R. Connelly; Renee M. Mooneyhan; Wei Zhang; Isabell A. Sesterhenn; F. K. Mostofi; David G. McLeod

PURPOSE Black men with and without prostate cancer in general have higher prostate specific antigen (PSA) before screening and treatment than other racial groups. A preliminary study suggested that higher PSA levels may be primarily due to greater tumor burden. We compared PSA and 3-dimensional (D) tumor volume in a consecutive cohort of black and white radical prostatectomy patients in an equal access military health care setting to determine racial differences in these parameters. MATERIALS AND METHODS Prospective data collection, 2.25 mm. step section whole mount specimen processing and 3-D tumor volume assessment were performed in 226 patients with clinical stage T1-T3 prostate cancer undergoing radical prostatectomy at our center between April 1993 and March 1997. Of the patients 25 were excluded from further analysis because of neoadjuvant hormone treatment, T3 disease or Asian race. A total of 155 white and 46 black patients were compared. RESULTS There was no significant racial difference in the distribution of patients by age, clinical stage, pathological stage, Gleason sum or benign prostate gland volume. A significant racial difference was noted for pretreatment PSA and 3-D tumor volume. PSA values were higher in black men than in white men, and the racial difference remained statistically significant in multivariate analysis adjusting for 3-D tumor volume, benign gland volume, age, stage and Gleason sum. CONCLUSIONS Racial difference in PSA persists, despite rigorous covariate adjustment, and further study is needed to explain this PSA difference.


Medical Image Analysis | 2004

Optimized prostate biopsy via a statistical atlas of cancer spatial distribution

Dinggang Shen; Zhiqiang Lao; Jianchao Zeng; Wei Zhang; Isabel A. Sesterhenn; Leon Sun; Judd W. Moul; Edward H. Herskovits; Gabor Fichtinger; Christos Davatzikos

A methodology is presented for constructing a statistical atlas of spatial distribution of prostate cancer from a large patient cohort, and it is used for optimizing needle biopsy. An adaptive-focus deformable model is used for the spatial normalization and registration of 100 prostate histological samples, which were provided by the Center for Prostate Disease Research of the US Department of Defense, resulting in a statistical atlas of spatial distribution of prostate cancer. Based on this atlas, a statistical predictive model was developed to optimize the needle biopsy sites, by maximizing the probability of detecting cancer. Experimental results using cross-validation show that the proposed method can detect cancer with a 99% success rate using seven needles, in these samples.


The Journal of Urology | 2000

INFLAMMATORY INFILTRATE (PROSTATITIS) IN WHOLE MOUNTED RADICAL PROSTATECTOMY SPECIMENS FROM BLACK AND WHITE PATIENTS IS NOT AN ETIOLOGY FOR RACIAL DIFFERENCE IN PROSTATE SPECIFIC ANTIGEN

Wei Zhang; Isabell A. Sesterhenn; Roger R. Connelly; F. K. Mostofi; Judd W. Moul

PURPOSE Although black men with and without prostatic carcinoma in general have higher levels of prostate specific antigen (PSA) than other racial groups, the cause is unknown. Previous studies have shown that black men produce greater PSA per cc of benign gland volume. We determined whether prostatic inflammation varied by race and could account for the racial difference in PSA among prostate cancer patients. MATERIALS AND METHODS Between April 1993 and February 1997, 238 patients underwent radical prostatectomy for clinically localized prostate cancer at Walter Reed Army Medical Center and whole mounted specimens were processed at the Armed Forces Institute of Pathology. Cases were reviewed by 2 pathologists (W. Z. and I. A. S.) blinded to clinical information, and scored for inflammation as 0--rare; 1--mild, 10 to 15 small foci; 2--moderate, greater than 15 foci with a large area or greater than 20 small foci; 3--marked, greater than 20 small foci with a large area, and 4--diffuse, multiple large areas. The extent of inflammation was correlated to pretreatment PSA and other variables. RESULTS A total of 181 white and 57 black men were evaluated. Of the patients 28 were excluded from analysis due to prior hormonal therapy. The percentage of patients with inflammation scores from 1 to 4 was higher among white (113 of 161, 70.2%) than black (30 of 49, 61.2%) men but this difference was not significant (p = 0.299) and the extent of inflammation was not significantly related to racial variation in serum PSA. CONCLUSIONS To our knowledge no significant racial difference exists in the extent of inflammatory infiltrate, and inflammation was not the etiology of the racial difference in serum PSA levels in this clinically localized prostate cancer cohort.


Prostate Cancer and Prostatic Diseases | 2000

Lateral biopsies added to the traditional sextant prostate biopsy pattern increases the detection rate of prostate cancer

John J. Bauer; Jianchao Zeng; Wei Zhang; David G. McLeod; I A Sesterhenn; Roger R. Connelly; Seong Ki Mun; Judd W. Moul

Urologists routinely use the systematic sextant needle biopsy technique to detect prostate cancer. However, recent evidence suggests that this technique has a significant sampling error and data based upon whole-mounted step-sectioned radical prostatectomy specimens using a three-dimensional computer-assisted prostate biopsy simulator suggests that an increased detection rate is possible using laterally placed biopsies. The simulated 10-core biopsy pattern (traditional sextant biopsy cores and four laterally placed biopsies in the right and left apex and mid portion of the prostate gland) was shown to be superior to the traditional sextant biopsy. The objective of this pilot study was to confirm the higher prostate cancer detection rate obtained using the 10-core biopsy pattern in patients. We reviewed data on 35 consecutive patients with a pathologic diagnosis of prostate cancer biopsied by a single urologist using the 10-core biopsy pattern. The frequency of positive biopsy was determined for each core. Additionally, the sextant and 10-core prostate biopsy patterns were compared with respect to prostate cancer detection rate. Of the 35 patients diagnosed with prostate cancer, 54.3%(19/35) were diagnosed by the sextant biopsy only. The 10-core pattern resulted in an additional 45.7%(16/35) of patients being diagnosed solely with the laterally placed biopsies. The laterally placed biopsies had the highest frequency of positive biopsies when compared to the sextant cores. In conclusion, biopsy protocols that use laterally placed biopsies based upon a five region anatomical model are superior to the routinely used sextant prostate biopsy pattern.


Prostate Cancer and Prostatic Diseases | 2006

Quantitative expression profile of PSGR in prostate cancer

Linda Xu; Chen Sun; Gyorgy Petrovics; Mazen Makarem; Bungo Furusato; Wei Zhang; I A Sesterhenn; David G. McLeod; Leon Sun; Judd W. Moul; Shiv Srivastava

PSGR is a novel member of the G-protein-coupled olfactory receptor family. Our initial report showed predominant expression of the PSGR in human prostate gland and significant alterations of PSGR expression in primary prostate cancer (CaP) specimens. The aim of this study was to provide in-depth evaluations of the expression profile of PSGR in prostatic epithelial cells of CaP patients and to evaluate the association of PSGR expression characteristics with clinico-pathologic features. In total, 220 RNA specimens, from laser capture microdissected paired benign and malignant prostatic epithelial cells of 110 CaP patients, were analyzed for PSGR expression by quantitative real-time PCR. The differential expression of PSGR between the prostatic epithelial cells of malignant and benign glands was statistically significant (P<0.0001). Comparison of PSGR expression between paired benign and tumor cells revealed prostate tumor cell-specific overexpression in 67.2% of tumor specimens (74 of 110), decreased expression in 20.9% of tumor specimens (23 of 110) and no difference of PSGR expression between tumor and normal cells in 11.8% of specimens (13 of 110). In representative cases, PSGR expression patterns were independently confirmed by in situ RNA hybridization. The PSGR overexpression associated with higher percentage of pathologic stage, pT3, and a higher level of preoperative serum PSA. CaP cells of African-American CaP patients exhibited about two-fold increase of PSGR expression in comparison to the Caucasian American CaP patients. Strikingly high-percentage CaP cells overexpress PSGR warrants further studies of PSGR expression alterations to define subsets of CaPs.


Prostate Cancer and Prostatic Diseases | 2002

Investigating the distribution of prostate cancer using three-dimensional computer simulation.

M B Opell; Jianchao Zeng; John J. Bauer; Roger R. Connelly; Wei Zhang; I A Sesterhenn; Seong Ki Mun; Judd W. Moul; John H. Lynch

The objective of this work was to investigate the distribution of prostate cancer using three-dimensional (3-D) computer simulation. Two hundred and eighty-one 3-D computer prostate models were constructed from radical prostatectomy specimens. An algorithm was developed which divided each model into 24 symmetrical regions, and it then detected the presence of tumor within an individual region. The distribution rate of prostate cancer was assessed within each region of all 281 prostate models, and the difference between the rates was statistically analyzed using Mantel-Haenszel methodology. There was a statistically significant higher distribution rate of cancer in the posterior half (57.2%) compared to the anterior half ( 40.5%; P=0.001). The base regions (36.8%) had a statistically significant lower distribution rate than either the mid regions (56.3%; P=0.001) or the apical regions (53.5%; P=0.001). The mid regions did have a statistically significant higher distribution rate compared to the apical regions (P=0.032). There was no statistically significant difference between the distribution rate on the left half (48.5%) compared to that on the right half (49.2%; P=0.494). The spatial distribution of prostate cancer can be analyzed using 3-D computer prostate models. The results illustrate that prostate cancer is least commonly located in the anterior half and base regions of the prostate. Through an analysis of the spatial distribution of prostate cancer, we believe that new optimal biopsy strategies and techniques can be developed.


Prostate Cancer and Prostatic Diseases | 2003

p53 Immunostaining guided laser capture microdissection (p53-LCM) defines the presence of p53 gene mutations in focal regions of primary prostate cancer positive for p53 protein

Greg L. Griewe; Robert C. Dean; Wei Zhang; Denise Y. Young; I A Sesterhenn; Naga Shanmugam; David G. McLeod; Judd W. Moul; Sudhir Srivastava

Objectives: A wide range of p53 mutations (5–65%), detected by various methods, has been reported in primary prostate cancers (CaP). IHC staining of radical prostatectomy specimens shows marked heterogeneity of focally distributed p53-positive cells. However, a significant relationship between the focal staining of p53 and cancer recurrence after radical prostatectomy has been noted. Increased frequency of p53 mutations has been generally observed in advanced stage CaP and metastatic prostate cancer cell lines. The significance of focal p53 immunostaining in primary CaP remains uncertain with respect to the p53 gene mutation or tumor progression. The goal of this study was to evaluate p53 gene mutations in focal regions of primary prostate cancers positive by p53 immunostaining.Methods: Whole-mount prostates from men with clinically organ-confined prostate cancer were immunostained for p53 protein. Laser capture microdissection (LCM) was used to harvest p53 positive cells from areas of tumor and prostatic intraepithelial neoplasia and benign gland. DNA from microdissected cells were amplified for p53 exons 5–8 by polymerase chain reaction (PCR) and analyzed for mutations by single strand conformation polymorphism and DNA sequencing. Mutation analysis of the p53 gene exons 5–8 was performed in the p53 immunostaining positive focal regions (1+ to 4+) of whole-mount prostate sections from 16 patients.Results: Of 16 patients with p53 IHC positive tumors, 11 (69%) had p53 gene mutations as determined by DNA sequence analysis. However, randomly microdissected tumor cells from 4 of 18 patients (22%) negative for p53 IHC also demonstrated mutations in the p53 gene. A significant fraction of prostate tumors with focally positive immunostaining for p53 have been confirmed to contain mutations in the p53 gene.Conclusions: p53 immunostaining guided LCM combined with DNA-based analyses emphasizes the presence of focal p53 mutations in primary prostate cancers and underscores the significance of previous observations showing a correlation between focal p53 immunostaining in primary CaP and cancer recurrence after radical prostatectomy.

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David G. McLeod

Uniformed Services University of the Health Sciences

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John J. Bauer

Walter Reed Army Medical Center

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Roger R. Connelly

Uniformed Services University of the Health Sciences

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Shiv Srivastava

Uniformed Services University of the Health Sciences

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Gyorgy Petrovics

Uniformed Services University of the Health Sciences

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I A Sesterhenn

Armed Forces Institute of Pathology

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