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Departments of 1 Pathology, 2 Medical Oncology, 3 Urology, and 4 Biostatistics, University of Michigan School of Medicine, Ann Arbor, Michigan; 5 Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts; 6 Department of Pathology, Dana Farber Cancer Institute, Boston, Massachusetts; and 7 Department of Pathology, Harvard Medical School, Boston, Massachusetts
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ABSTRACT |
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 Top ABSTRACT INTRODUCTIONMATERIALS AND METHODSRESULTSDISCUSSIONREFERENCES |
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-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. |
INTRODUCTION |
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TopABSTRACTINTRODUCTIONMATERIALS AND METHODSRESULTSDISCUSSIONREFERENCES |
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30,000 deaths in 2004 (1)
. With the goal of trying to better understand the biology of prostate tumorigenesis and metastasis, we have developed a rapid autopsy program to collect tumors from multiple sites including solid organs and bone to perform molecular studies to better delineate prostate cancer progression (2)
. Our group has used these samples with a combination of cDNA expression and tissue microarray analysis approaches to identify novel prostate cancer biomarkers, including Enhancer of Zeste homolog 2 (EZH2), Metastasis associated 1 (MTA1), PIM1, and -methylacyl-CoA racemase (AMACR), with a supervised analysis comparing androgen-independent to localized prostate cancer samples (3, 4, 5, 6, 7)
. These previous studies, however, lump metastatic tumors as a single entity, whereas the patterns of dissemination at autopsy suggest that metastatic cancer may better be characterized as a group of diseases rather than a single entity. Our goal of the present study was to study the phenotypic characteristics of metastatic prostate cancer in detail. Our data indicate that metastatic prostate cancer demonstrates substantial heterogeneity, even within the same patient. We believe detailed characterization of the heterogeneous phenotypic spectrum of end stage metastatic prostate cancer will guide future molecular studies on metastatic disease, as well as provide a framework for identifying subtypes that may respond better to novel therapeutics.
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MATERIALS AND METHODS |
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TopABSTRACTINTRODUCTIONMATERIALS AND METHODSRESULTSDISCUSSIONREFERENCES |
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Pathology Data.
Pathology data included detailed histologic evaluation of prostate cancer at metastatic sites, location and systemic distribution pattern of metastasis at both osseous and nonosseous organ sites, and histology of the prostate in event of no previous radical prostatectomy. Microscopic evaluation of all slides from each tumor site was evaluated by the study pathologists (R. B. S., R. M., M. A. R.).
Construction of Tissue Microarray and Immunohistochemistry.
A tissue microarray was constructed from all 30 autopsies to represent all of the prostate cancer metastasis sites and the prostate (if present). Three cores (0.6 mm in diameter) were taken from each representative tissue block. The tissue microarray construction protocol has been described previously (8, 9, 10)
. This tissue microarray was immunostained for a variety of tumor markers, including prostate-specific antigen (PSA), androgen receptor (AR), chromogranin (CGA), synaptophysin (SYN), -methylacylCoA-racemase (AMACR), and the proliferation marker MIB-1. Immunohistochemistry was performed with standard avidin-biotin complex protocol. For PSA, CGA, SYN, AMACR and MIB-1 antibodies, antigen retrieval was performed in citrate buffer at pH 6.0; and for AR, antigen retrieval was performed with EDTA at pH 8.0 in a pressure cooker. The primary antibodies and dilution were as followings: polyclonal PSA (Dako Cytomation, Carpenteria, CA) 1:2000; monoclonal AR-clone AR 441 (NeoMarkers, Fremont, CA) 1:50; CGA (Biogenex, San Ramon, CA) 1:160; SYN (Biogenex) 1:600; AMACR (generated from denatured recombinant antigen to AMACR) 1:5000; and MIB-1 (Dako Corporation, Carpentaria, CA) 1:100. The slides were evaluated for adequacy with a standard bright field microscope. Digital images were then acquired with the BLISS Imaging System (Bacus Laboratory, Lombard, IL).
Immunohistochemistry evaluation was carried out with Chromavision ACIS II version (Chromavision Medical Systems, Inc., San Juan Capistrano, CA; refs. 11, 12, 13 ). The ACIS uses preprogrammed advanced color detection software that measures immunohistochemical stains intensity (range, 0–255) and percentage expression (0–100%). Because the system has no means of distinguishing tumor tissue from noncancerous tissue, all of the images were reviewed by one of the study pathologists (T. A. B.). Tumor tissue was electronically circled on the computer screen, and only those areas were used to measure the percentage of the circled cells that stained positive for each of the tested markers (0–100%). The final data were recorded in a Microsoft Excel datasheet and were used for statistical analysis.
Microarray Analysis (cDNA).
The spotted cDNA microarrays used for the identification of differentially expressed genes in the rapid autopsy series have been previously described (6
, 7)
. The cDNA arrays contained 5,500 known, named genes from the Research Genetics human cDNA clone set, and >4,400 expressed sequence tags (7)
. The expression array data were analyzed with a Cluster and TreeView8
to explore for relationships between samples (14)
.
Statistical Analysis.
Regression tree was fitted with time from chemotherapy to death as response, and each immunohistochemistry marker percentage staining values was dichotomized according to the root node splitter from the fitted tree. Survival time was divided into >14.5 months and <14.5 months to represent good versus bad outcome, and 2 x 2 contingency table was generated to test the association between the outcome and maker staining levels. Exact test and linear regression were also performed with statistical software package (SAS Institute Inc., Cary, NC) to measure association between different clinical variables and immunomarkers with survival time.
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RESULTS |
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TopABSTRACTINTRODUCTIONMATERIALS AND METHODSRESULTSDISCUSSIONREFERENCES |
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. The median age at time of death was 71 years (range, 53–84 years). Twenty-eight men were initially diagnosed with clinically localized prostate cancer but developed widely disseminated disease after 5–10 years. Eight men underwent radical prostatectomy before receiving additional treatment and 17 men received external beam radiation as their primary treatment. Twenty-eight men received combination chemotherapy, and all underwent hormonal manipulation. Initial Gleason score was documented in 20 of 30 men and ranged from 4 to 10. The time that patients were treated with androgen deprivation ranged from 0 to 144 months. Patients survived in the hormone-refractory state (measured as time from first chemotherapy) from 0 to 61 months with a hormone-refractory median survival of 14.5 months.
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. Six cases (20%) had predominantly skeleton system involvement; however, no cases presented with only bone involvement. Five cases (16%) presented with only visceral organ involvement (liver and/or lymph node) without grossly observable evidence of bone involvement. The prostate gland was present in 70% (21 of 30) of cases; of these, 6 cases demonstrated androgen therapy effect as has been previously described in primary prostate cancer (15)
. Residual tumor was identified in 20 of 21 cases, 8 cases had extensive disease with involvement of bladder and pelvic soft tissues, and 12 had low volume of disease.
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and summarized in Table 2
. Four cases had uniform tumor morphology at all sites, growing in solid sheets and nests with or without comedonecrosis, resembling Gleason grade 5 (Fig. 2A and B)
. Three cases demonstrated uniform morphology at all sites, with tumors growing in a confluent cribriform glandular pattern resembling Gleason grade 4 (Fig. 2C)
. The majority of cases (18 cases) had tumors with a mixture of the above two growth patterns resembling a mixture of Gleason grades 4 and 5. Three cases demonstrated neuroendocrine differentiation characterized by tumor growing in nests, trabaculae, and ribbons with uniform round nuclei, high N:C ratio, and salt and pepper chromatin (Fig. 2D and E)
. Only one of these three cases was seen as pure growth pattern, whereas in the remaining two cases, neuroendocrine differentiation was seen in combination with Gleason grade 5 pattern. Two cases had tumors with small-cell neuroendocrine carcinoma, similar to oat-cell carcinoma of the lung, characterized by spindling, crushing, and molding of the nuclei and high mitotic activity (Fig. 2F)
. Three cases had well-formed glands resembling Gleason grade 3 at some metastatic sites in addition to other growth patterns (three cases; Fig. 2G
). In one case, metastatic tumors demonstrated poor cohesion with an undifferentiated growth pattern (Fig. 2H)
, and another case demonstrated focal signet ring cell differentiation (Fig. 2I)
in addition to growth pattern of Gleason grade 5. The wide range of these varied histologic patterns is summarized and illustrated in Fig. 2
and Table 2
. The distribution and overlap of different histologic patterns identified in these cases are schematically demonstrated in Fig. 1B
. In one case, focal sarcomatoid differentiation was present only within the prostate site. Focal to diffuse nuclear pleomorphism within tumor cells was seen in 40% of cases, the remaining cases showed round-to-oval uniform nuclei often with prominent nucleoli, a bland cytology typical of prostate cancer.
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Immunophenotype of Prostate Cancer in Different Patients.
The results are summarized in Table 2
. The data present the median percentage staining with the range of the immunomarkers across all patients according to tissue site as present on the tissue microarray. All of the immunomarkers demonstrated considerable heterogeneity across disease sites. PSA expression was seen to vary for the percentage of PSA-positive cells with median expression of 39.3 (range, 0.3 to 99.44; SEM, 34.5; Table 2
; Fig. 3
). Consistent with its role as a transcription factor, AR was localized in nuclei. AR expression varied across tumor samples with 31% (83 of 265) of tumor samples expressing >50% AR and 41.5% (100 of 265) expressing <10% AR. Overall expression of AR was down-regulated with median AR expression of 20.04% (range, 0–100%, SEM, 34.28; Table 2
; Fig. 3
). The intensity of AMACR expression varied among the metastatic tumors; the median percentage of positive tumor cells was 8.18% (range, 0.19–71.97%; SEM, 14.58). The median MIB-1 expression was 4.55% (range, 0.25–26%; SEM, 4.61). CGA and SYN were infrequently observed in these metastatic prostate cancer cases, as we have reported previously (8)
. The median percentage of metastatic tumor cells demonstrating either CGA or SYN protein expression was 2.23% (range, 0.21–62.51; SEM, 7.55) and 0.83% (range, 0–49.11%; SEM, 8.21), respectively. Cases with neuroendocrine/small-cell morphology usually demonstrated neuroendocrine expression. We investigated whether any of the immunomarkers were predictive of survival time from the initiation of chemotherapy to death. Patients with a PSA median expression >50% demonstrated a significantly better survival than those with <50% expression (P < 0.03).
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and 4
demonstrate the results for four different representative patients. Results are present as the median percentage staining. A range is given if there was more than one sample from that given site in a patient. All of the patients demonstrated marked differences in AR expression between different tissue sites (2- to 50-fold; Table 3
). There was no pattern to the differences in AR expression between the different organ sites that could be distinguished, and this was true across all patients. Perhaps most striking was that several patients demonstrated a high amount of AR staining, although they were no longer responding to androgen-deprivation therapy. PSA expression also varied widely between tissue sites and, sometimes, even within the same tissue site of a patient (Table 4)
. For example, Case 30 demonstrated a range of PSA expression from a median of 3.03 in the prostate to a median of 60.61 in the bone, but the range of expression in the bone itself ranged from 14.67 to 77.86.
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. Only two metastases from a patient with small-cell histology demonstrated comparable cDNA expression results (Fig. 4)
. With the ONCOMINE database, we found that these tumors exhibited a similar expression pattern as small-cell lung cancer (23)
.
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DISCUSSION |
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TopABSTRACTINTRODUCTIONMATERIALS AND METHODSRESULTSDISCUSSIONREFERENCES |
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We, as well as others, have identified several genes that are differentially expressed in primary versus metastatic disease (6
, 7
, 32)
. By definition, these analyses are designed to find potential similarities between samples at a similar disease stage and compare the two groups. Whereas these studies have identified several potential biomarkers, they were also remarkable for the amount of heterogeneity and overlap between primary and metastatic samples. To date, metastatic prostate tissue samples from the same patient and between patients have not been systematically been analyzed in an attempt to quantify this heterogeneity and to determine whether it may be important. Our data demonstrate that there are substantial differences in the genotype and phenotype of metastatic prostate cancer between patients and within the same patient. The data in Tables 2
, 3
, and 4
, as well as in Fig. 3
demonstrate this heterogeneity when comparing metastatic sites. We did not investigate heterogeneity within individual metastatic sites by comparing multiple biopsies from a given site; however, it seems likely that heterogeneity would have been revealed at that level also. This will be the subject of future studies.
Normal prostate tissue and virtually all primary prostate cancer have been found to uniformly express AR; however, information of AR expression in hormone-refractory prostate cancer is limited (33)
. Our study demonstrates heterogeneity in AR expression with frequent AR-positive and AR-negative tumor populations between and within the same patient (Tables 2
and 3
). In this study, overall AR expression is down-regulated in hormone-refractory prostate cancer, with 41.5% of tumor samples demonstrating <10% of AR, which suggests that, in such cases, an alternate AR bypass mechanism may also be important in the progression of androgen independence (34)
. However, the majority of patients still express substantial amounts of AR although they have undergone long-term androgen ablation. Because intracellular AR, a ligand-dependent transcription activator mediates androgen action, abnormalities in AR are believed to play an important role in the progression of prostate cancer (34, 35, 36)
. Chen et al. (37)
have recently demonstrated that the AR in androgen-independent prostate cancer can still be active and fueled by submicromolar amount of testosterone. Our present study supports the observation that the AR still may play a central role in the biology of what has been traditionally termed "androgen-independent" disease.
Another clinically significant finding of this study is the low frequency of neuroendocrine phenotype in prostate cancer patients. It has been suggested that most androgen-independent prostate cancer has a neuroendocrine phenotype, and investigators have reported a correlation between the percentage of neuroendocrine expression with tumor progression and an adverse outcome (8 , 20 , 38 , 39) . Our data, as well as those of others, especially from the University of Washington, Seattle, suggest that this is not the case (20) . In our series, only three patients demonstrated neuroendocrine phenotype by histology (two with pure small-cell histology and one with pure neuroendocrine differentiation but not reaching the threshold of small-cell carcinoma). Immunostaining for SYN and CGA was considerably variable and did not correlate with clinical outcome in the androgen-independent patients (as measured from the time of first chemotherapy).
We have extensively used these tumor samples from the rapid autopsy for research directed at understanding prostate cancer progression. Initial expression array analysis was critical in the identification of prostate- and cancer-specific genes such as Hepsin, EZH2, MTA1, and TPD52. (6
, 7
, 40)
This initial work grouped all of the hormone-refractory metastatic prostate cancer samples together for purposes of analysis and compared them with primary cancers as well as with normal tissue. These analyses were valuable in that they picked out dominant genes that were expressed differently over a majority of different tumor stages; however, these studies were not done by laser-capture microdissection and, therefore, did not take into account the heterogeneity of the tissues at similar stages. After review of the wide spectrum of histology in this study, we also questioned whether there was heterogeneity of gene expression when comparing metastatic tissue in androgen-independent disease. To our knowledge, this type of analysis, comparing metastatic samples against themselves, has not been done previously. We performed hierarchical clustering of 16 tumor samples from eight rapid autopsy cases. One case with two samples from two different sites had small-cell morphology. Whereas a few genes were differentially expressed in the majority of the metastatic sites including topoisomerase II, Mr 170,000 and procollagen-lysine, the majority of metastases did not share a similar gene expression pattern. These data demonstrate that the metastases share more differences than similarities in gene expression when compared with each other. These data were previously obscured when the metastases were used as part of larger arrays comparing normal and primary cancers with metastatic tissue. When we viewed the 95 most substantially differentially expressed genes, there were clusters of genes that were overexpressed only in the small-cell metastatic samples (Fig. 4)
. When small-cell prostate cancer does occur, it seems to have the genotypic pattern of small-cell lung cancer. With ONCOMINE, we were able to interrogate other over-60-expression array datasets that contained information on these differentially expressed genes (23)
. Multiple genes, including TTF-1, PLOD2, TOP2A, Cyclin A2, CDC2, RBBP8, and GNAS, found to be overexpressed in the two samples from a metastatic small-cell cancer of the prostate have all been previously identified as being significantly overexpressed in small-cell cancers of lung as compared with benign lung tissue as demonstrated by the adjusted P-values with ONCOMINE (40, 41, 42, 43)
.
Previous studies have demonstrated the value of using PSA immunohistochemistry in the diagnosis of metastatic prostate cancer (44
, 45)
. As previously noted by Stein et al. (45)
, the majority of end-stage prostate cancers retain PSA expression if all tumor samples are evaluated; however PSA expression is quite variable when individual tumor samples are evaluated (Tables 2
, 4
). There seemed to be no correlation between AR expression and PSA expression, which suggests that PSA expression may be driven by non-AR mechanisms in late-stage prostate cancer. We noted that patients with a median PSA staining of >50% had a longer survival in the androgen-independent setting than those with <50% staining. Roudier et al. (20)
also found that that tumors with >50% of sites with >50% of cells expressing PSA were significantly associated with longer survival.
In conclusion, it is of note that no single biomarker or group of biomarkers has yet been identified that can successfully predict disease recurrence 100% of the time. Although studies have tried to identify subsets of genes that characterize the metastatic phenotype, these, by definition, ignore the heterogeneity of metastatic cancer (6 , 7 , 32) . We demonstrate that end-stage hormone-refractory metastatic prostate cancer is a heterogeneous group of diseases. Understanding this heterogeneity is key to understanding prostate cancer progression and to guiding the development of future treatment paradigms.
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ACKNOWLEDGMENTS |
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FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Note: Presented in part at the United States and Canadian Academy of Pathology Annual Meeting, Vancouver, BC, Canada, March, 2004; M. A. Rubin and K. J. Pienta share senior authorship.
Requests for reprints: Rajal B. Shah, Department of Pathology, University of Michigan, 2G332 UH, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0054. Phone: (734) 936-6776; Fax: (734) 763-4095; E-mail: rajshah{at}umich.edu
Received 7/14/04. Revised 8/18/04. Accepted 9/15/04.
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H. I. Scher, M. Warren, and G. Heller The Association Between Measures of Progression and Survival in Castrate-Metastatic Prostate Cancer Clin. Cancer Res., March 1, 2007; 13(5): 1488 - 1492. [Abstract] [Full Text] [PDF]
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S.-L. Lin, D. Chang, and S.-Y. Ying Hyaluronan stimulates transformation of androgen-independent prostate cancer Carcinogenesis, February 1, 2007; 28(2): 310 - 320. [Abstract] [Full Text] [PDF]
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J. N. Davis, K. J. Wojno, S. Daignault, M. D. Hofer, R. Kuefer, M. A. Rubin, and M. L. Day Elevated E2F1 Inhibits Transcription of the Androgen Receptor in Metastatic Hormone-Resistant Prostate Cancer Cancer Res., December 15, 2006; 66(24): 11897 - 11906. [Abstract] [Full Text] [PDF]
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L. Pootrakul, R. H. Datar, S.-R. Shi, J. Cai, D. Hawes, S. G. Groshen, A. S. Lee, and R. J. Cote Expression of Stress Response Protein Grp78 Is Associated with the Development of Castration-Resistant Prostate Cancer. Clin. Cancer Res., October 15, 2006; 12(20): 5987 - 5993. [Abstract] [Full Text] [PDF]
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R. L. Vessella and E. Corey Targeting factors involved in bone remodeling as treatment strategies in prostate cancer bone metastasis. Clin. Cancer Res., October 15, 2006; 12(20): 6285s - 6290s. [Abstract] [Full Text] [PDF]
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 I. V. Litvinov, D. J. Vander Griend, L. Antony, S. Dalrymple, A. M. De Marzo, C. G. Drake, and J. T. Isaacs Androgen receptor as a licensing factor for DNA replication in androgen-sensitive prostate cancer cells PNAS, October 10, 2006; 103(41): 15085 - 15090. [Abstract] [Full Text] [PDF]
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S. M. Dehm and D. J. Tindall Ligand-independent Androgen Receptor Activity Is Activation Function-2-independent and Resistant to Antiandrogens in Androgen Refractory Prostate Cancer Cells J. Biol. Chem., September 22, 2006; 281(38): 27882 - 27893. [Abstract] [Full Text] [PDF]
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R. Axelrod, D. E. Axelrod, and K. J. Pienta From the Cover: Evolution of cooperation among tumor cells PNAS, September 5, 2006; 103(36): 13474 - 13479. [Abstract] [Full Text] [PDF]
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 P Singh, A Uzgare, I Litvinov, S R Denmeade, and J T Isaacs Combinatorial androgen receptor targeted therapy for prostate cancer. Endocr. Relat. Cancer, September 1, 2006; 13(3): 653 - 666. [Abstract] [Full Text] [PDF]
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S. Perner, F. Demichelis, R. Beroukhim, F. H. Schmidt, J.-M. Mosquera, S. Setlur, J. Tchinda, S. A. Tomlins, M. D. Hofer, K. G. Pienta, et al. TMPRSS2:ERG Fusion-Associated Deletions Provide Insight into the Heterogeneity of Prostate Cancer. Cancer Res., September 1, 2006; 66(17): 8337 - 8341. [Abstract] [Full Text] [PDF]
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S.-Y. Park, Y.-J. Kim, A. C. Gao, J. L. Mohler, S. A. Onate, A. A. Hidalgo, C. Ip, E.-M. Park, S. Y. Yoon, and Y.-M. Park Hypoxia increases androgen receptor activity in prostate cancer cells. Cancer Res., May 15, 2006; 66(10): 5121 - 5129. [Abstract] [Full Text] [PDF]
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L. A. Gomez, A. de las Pozas, and C. Perez-Stable Sequential combination of flavopiridol and docetaxel reduces the levels of X-linked inhibitor of apoptosis and AKT proteins and stimulates apoptosis in human LNCaP prostate cancer cells Mol. Cancer Ther., May 1, 2006; 5(5): 1216 - 1226. [Abstract] [Full Text] [PDF]
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S. Varghese, S. D. Rabkin, P. G. Nielsen, W. Wang, and R. L. Martuza Systemic oncolytic herpes virus therapy of poorly immunogenic prostate cancer metastatic to lung. Clin. Cancer Res., May 1, 2006; 12(9): 2919 - 2927. [Abstract] [Full Text] [PDF]
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B. Han, H. Xie, Q. Chen, and J.-T. Zhang Sensitizing hormone-refractory prostate cancer cells to drug treatment by targeting 14-3-3{sigma}. Mol. Cancer Ther., April 1, 2006; 5(4): 903 - 912. [Abstract] [Full Text] [PDF]
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L. Wallner, J. Dai, J. Escara-Wilke, J. Zhang, Z. Yao, Y. Lu, M. Trikha, J. A. Nemeth, M. H. Zaki, and E. T. Keller Inhibition of Interleukin-6 with CNTO328, an Anti-Interleukin-6 Monoclonal Antibody, Inhibits Conversion of Androgen-Dependent Prostate Cancer to an Androgen-Independent Phenotype in Orchiectomized Mice. Cancer Res., March 15, 2006; 66(6): 3087 - 3095. [Abstract] [Full Text] [PDF]
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K. J. Pienta and D. Bradley Mechanisms underlying the development of androgen-independent prostate cancer. Clin. Cancer Res., March 15, 2006; 12(6): 1665 - 1671. [Full Text] [PDF]
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M. Stanbrough, G. J. Bubley, K. Ross, T. R. Golub, M. A. Rubin, T. M. Penning, P. G. Febbo, and S. P. Balk Increased expression of genes converting adrenal androgens to testosterone in androgen-independent prostate cancer. Cancer Res., March 1, 2006; 66(5): 2815 - 2825. [Abstract] [Full Text] [PDF]
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Y. Kitagawa, J. Dai, J. Zhang, J. M. Keller, J. Nor, Z. Yao, and E. T. Keller Vascular Endothelial Growth Factor Contributes to Prostate Cancer-Mediated Osteoblastic Activity Cancer Res., December 1, 2005; 65(23): 10921 - 10929. [Abstract] [Full Text] [PDF]
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R. W. Ross, S. Halabi, S.-S. Ou, B. R. Rajeshkumar, B. A. Woda, N. J. Vogelzang, E. J. Small, M.-E. Taplin, and P. W. Kantoff Predictors of Prostate Cancer Tissue Acquisition by an Undirected Core Bone Marrow Biopsy in Metastatic Castration-Resistant Prostate Cancer--A Cancer and Leukemia Group B Study Clin. Cancer Res., November 15, 2005; 11(22): 8109 - 8113. [Abstract] [Full Text] [PDF]
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 H. I. Scher and C. L. Sawyers Biology of Progressive, Castration-Resistant Prostate Cancer: Directed Therapies Targeting the Androgen-Receptor Signaling Axis J. Clin. Oncol., November 10, 2005; 23(32): 8253 - 8261. [Abstract] [Full Text] [PDF]
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S. M. Pulukuri, C. S. Gondi, S. S. Lakka, A. Jutla, N. Estes, M. Gujrati, and J. S. Rao RNA Interference-directed Knockdown of Urokinase Plasminogen Activator and Urokinase Plasminogen Activator Receptor Inhibits Prostate Cancer Cell Invasion, Survival, and Tumorigenicity in Vivo J. Biol. Chem., October 28, 2005; 280(43): 36529 - 36540. [Abstract] [Full Text] [PDF]
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J. Dai, J. Keller, J. Zhang, Y. Lu, Z. Yao, and E. T. Keller Bone Morphogenetic Protein-6 Promotes Osteoblastic Prostate Cancer Bone Metastases through a Dual Mechanism Cancer Res., September 15, 2005; 65(18): 8274 - 8285. [Abstract] [Full Text] [PDF]
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K. J. Pienta and D. C. Smith Advances in Prostate Cancer Chemotherapy: A New Era Begins CA Cancer J Clin, September 1, 2005; 55(5): 300 - 318. [Abstract] [Full Text] [PDF]
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H. I. Scher, M. J. Morris, W. K. Kelly, L. H. Schwartz, and G. Heller Prostate Cancer Clinical Trial End Points: "RECIST"ing a Step Backwards Clin. Cancer Res., July 15, 2005; 11(14): 5223 - 5232. [Abstract] [Full Text] [PDF]
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C. J. Dimitroff, L. Descheny, N. Trujillo, R. Kim, V. Nguyen, W. Huang, K. J. Pienta, J. L. Kutok, and M. A. Rubin Identification of Leukocyte E-Selectin Ligands, P-Selectin Glycoprotein Ligand-1 and E-Selectin Ligand-1, on Human Metastatic Prostate Tumor Cells Cancer Res., July 1, 2005; 65(13): 5750 - 5760. [Abstract] [Full Text] [PDF]
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Z Culig, H Steiner, G Bartsch, and A Hobisch Mechanisms of endocrine therapy-responsive and -unresponsive prostate tumours Endocr. Relat. Cancer, June 1, 2005; 12(2): 229 - 244. [Abstract] [Full Text] [PDF]
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 A. K. Witkiewicz, S. Varambally, R. Shen, R. Mehra, M. S. Sabel, D. Ghosh, A. M. Chinnaiyan, M. A. Rubin, and C. G. Kleer {alpha}-Methylacyl-CoA Racemase Protein Expression Is Associated with the Degree of Differentiation in Breast Cancer Using Quantitative Image Analysis Cancer Epidemiol. Biomarkers Prev., June 1, 2005; 14(6): 1418 - 1423. [Abstract] [Full Text] [PDF]
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