Clinical significance of alterations of chromosome 8 detected by fluorescence in situ hybridization analysis in pathologic organ-confined prostate cancer

Chromosomal deletion of 9p21 is linked to poor patient prognosis in papillary and clear cell kidney cancer

BACKGROUND

The ongoing approval of adjuvant systemic therapy in high-risk kidney tumor will increase the demand for prognostic assessment in these tumors. 9p21 deletion has been suggested as a possible prognostic feature in clear cell kidney cancer.

MATERIAL AND METHODS

To learn more on the prognostic relevance of 9p21 deletions in clear cell and other kidney tumors, 1,809 kidney tumor specimens were analyzed by dual-labeling fluorescence in situ hybridization (FISH) with probes for 9p21 and centromere 9 in a tissue microarray format. Results were compared to histologic tumor type, pT stage, grade, and patient outcome.

RESULTS

A total of 1,341 (74%) of tumor samples had interpretable FISH results. 9p21 deletion was found in 4.4% of 894 clear cell, 5.1% of 197 papillary, and 4.2% of 71 chromophobe carcinomas. 9p21 deletions were not found in 112 oncocytomas and in 21 clear cell tubulo-papillary cancers. In clear cell carcinomas, 9p deletions were associated with advanced stage (P = 0.009) and nodal metastasis (P = 0.0067), but not with ISUP grade (P = 0.1039) and distant metastasis (P = 0.4809). Also, in papillary carcinomas, 9p deletions were associated with advanced stage (P = 0.0008) and nodal metastasis (P = 0.0202) but not with ISUP grade (0.0904) and distant metastasis (P = 0.2022). Follow-up data were available for 789 clear cell and 177 papillary cancers. In both tumor entities, 9p21 deletions were associated with shortened overall survival, tumor-specific death, and progression-free survival in univariate analysis (P < 0.02 each). In a multivariate analysis, 9p21 deletion was an independent predictor of early tumor recurrence (P = 0.04).

CONCLUSION

9p21 deletions, 9p21 deletions identify a small subset of aggressive renal carcinomas. 9p deletion assessment may be clinically useful to identify high-risk renal cell carcinomas.

Deletion of 8p is an independent prognostic parameter in prostate cancer

Deletion of chromosome 8p is the second most frequent genomic alteration in prostate cancer. To better understand its clinical significance, 8p deletion was analyzed by fluorescence in-situ hybridization on a prostate cancer tissue microarray. 8p deletion was found in 2,581 of 7,017 cancers (36.8%), and was linked to unfavorable tumor phenotype. 8p deletion increased from 29.5% in 4,456 pT2 and 47.8% in 1,598 pT3a to 53.0% in 931 pT3b-pT4 cancers (P < 0,0001). Deletions of 8p were detected in 25.5% of 1,653 Gleason ≤ 3 + 3, 36.6% of 3,880 Gleason 3 + 4, 50.2% of 1,090 Gleason 4 + 3, and 51.1% of 354 Gleason ≥ 4 + 4 tumors (P < 0,0001). 8p deletions were strongly linked to biochemical recurrence (P < 0.0001) independently from established pre- and postoperative prognostic factors (P = 0.0100). However, analysis of morphologically defined subgroups revealed, that 8p deletion lacked prognostic significance in subgroups with very good (Gleason ≤ 3 + 3, 3 + 4 with ≤ 5% Gleason 4) or very poor prognosis (pT3b, Gleason ≥ 8, pN1). 8p deletions were markedly more frequent in cancers with (53.5%) than without PTEN deletions (36.4%; P < 0,0001) and were slightly more frequent in ERG-positive (40.9%) than in ERG-negative cancers (34.7%, P < 0.0001) due to the association with the ERG-associated PTEN deletion. Cancers with 8p/PTEN co-deletions had a strikingly worse prognosis than cancers with deletion of PTEN or 8p alone (P ≤ 0.0003). In summary, 8p deletion is an independent prognostic parameter in prostate cancer that may act synergistically with PTEN deletions. Even statistically independent prognostic biomarkers like 8p may have limited clinical impact in morphologically well defined high or low risk cancers.

Systematic identification of functionally relevant risk alleles to stratify aggressive versus indolent prostate cancer

Novel approaches for classification, including molecular features, are needed to direct therapy for men with low-grade prostate cancer (PCa), especially men on active surveillance. Risk alleles identified from genome-wide association studies (GWAS) could improve prognostication. Those risk alleles that coincided with genes and somatic copy number aberrations associated with progression of PCa were selected as the most relevant for prognostication.

In a systematic literature review, a total of 698 studies were collated. Fifty-three unique SNPs residing in 29 genomic regions, including 8q24, 10q11 and 19q13, were associated with PCa progression. Functional studies implicated 21 of these single nucleotide polymorphisms (SNPs) as modulating the expression of genes in the androgen receptor pathway and several other oncogenes. In particular, 8q24, encompassing MYC, harbours a high density of SNPs conferring unfavourable pathological characteristics in low-grade PCa, while a copy number gain of MYC in low-grade PCa was associated with prostate-specific antigen recurrence after radical prostatectomy.

By combining GWAS data with gene expression and structural rearrangements, risk alleles were identified that could provide a new basis for developing a prognostication tool to guide therapy for men with early prostate cancer.

Tissue-based biomarkers in prostate cancer

INTRODUCTION

Prostate cancer is a heterogeneous disease. Existing risk stratification tools based on standard clinlicopathologic variables (prostate specific antigen [PSA], Gleason score, and tumor stage) provide a modest degree of predictive ability. Advances in high-throughput sequencing has led to the development of several novel tissue-based biomarkers that can improve prognostication in prostate cancer management.

AREAS COVERED

The authors review commercially-available, tissue-based biomarker assays that improve upon existing risk-stratification tools in several areas of prostate cancer management, including the appropriateness of active surveillance and aiding in decision making regarding the use of adjuvant therapy. Additionally, some of the obstacles to the widespread adoption of these biomarkers and discuss several investigational sources of new biomarkers are discussed.

EXPERT COMMENTARY

Work is ongoing to answer pertinent clinical questions in prostate cancer management including which patients should undergo biopsy, active surveillance, receive adjuvant therapy, and what systemic therapy is best in the first-line. Incorporation into novel biomarkers may allow for the incorporation of a 'personalized' approach to management. Further validation will be required and questions of cost must be considered before wide scale adoption of these biomarkers. Tumor heterogeneity may impose a ceiling on the prognostic ability of biomarkers using currently available techniques.

DNA alterations in the tumor genome and their associations with clinical outcome in prostate cancer

Although most prostate cancer (PCa) cases are not life-threatening, approximately 293 000 men worldwide die annually due to PCa. These lethal cases are thought to be caused by coordinated genomic alterations that accumulate over time. Recent genome-wide analyses of DNA from subjects with PCa have revealed most, if not all, genetic changes in both germline and PCa tumor genomes. In this article, I first review the major, somatically acquired genomic characteristics of various subtypes of PCa. I then recap key findings on the relationships between genomic alterations and clinical parameters, such as biochemical recurrence or clinical relapse, metastasis and cancer-specific mortality. Finally, I outline the need for, and challenges with, validation of recent findings in prospective studies for clinical utility. It is clearer now than ever before that the landscape of somatically acquired aberrations in PCa is highlighted by DNA copy number alterations (CNAs) and TMPRSS2-ERG fusion derived from complex rearrangements, numerous single nucleotide variations or mutations, tremendous heterogeneity, and continuously punctuated evolution. Genome-wide CNAs, PTEN loss, MYC gain in primary tumors, and TP53 loss/mutation and AR amplification/mutation in advanced metastatic PCa have consistently been associated with worse cancer prognosis. With this recently gained knowledge, it is now an opportune time to develop DNA-based tests that provide more accurate patient stratification for prediction of clinical outcome, which will ultimately lead to more personalized cancer care than is possible at present.

PTEN loss and chromosome 8 alterations in Gleason grade 3 prostate cancer cores predicts the presence of un-sampled grade 4 tumor: implications for active surveillance

Men who enter active surveillance because their biopsy exhibits only Gleason grade 3 (G3) frequently have higher grade tumor missed by biopsy. Thus, biomarkers are needed that, when measured on G3 tissue, can predict the presence of higher grade tumor in the whole prostate. We evaluated whether PTEN loss, chromosome 8q gain (MYC) and/or 8p loss (LPL) measured only on G3 cores is associated with un-sampled G4 tumor. A tissue microarray was constructed of prostatectomy tissue from patients whose prostates exhibited only Gleason score 3+3, only 3+4 or only 4+3 tumor (n=50 per group). Cores sampled only from areas of G3 were evaluated for PTEN loss by immunohistochemistry, and PTEN deletion, LPL/8p loss and MYC/8q gain by fluorescence in situ hybridization. Biomarker results were compared between Gleason score 6 vs 7 tumors using conditional logistic regression. PTEN protein loss, odds ratio=4.99, P=0.033; MYC/8q gain, odds ratio=5.36, P=0.010; and LPL/8p loss, odds ratio=3.96, P=0.003 were significantly more common in G3 cores derived from Gleason 7 vs Gleason 6 tumors. PTEN gene deletion was not statistically significant. Associations were stronger comparing Gleason 4+3 vs 6 than for Gleason 3+4 vs 6. MYC/8q gain, LPL/8p loss and PTEN protein loss measured in G3 tissue microarray cores strongly differentiate whether the core comes from a Gleason 6 or Gleason 7 tumor. If validated to predict upgrading from G3 biopsy to prostatectomy these biomarkers could reduce the likelihood of enrolling high-risk men and facilitate safe patient selection for active surveillance.

MicroRNA-449a enhances radiosensitivity by downregulation of c-Myc in prostate cancer cells

MicroRNAs (miRNAs) have been reported to be involved in DNA damage response induced by ionizing radiation (IR). c-Myc is reduced when cells treated with IR or other DNA damaging agents. It is unknown whether miRNAs participate in c-Myc downregulation in response to IR. In the present study, we found that miR-449a enhanced radiosensitivity in vitro and in vivo by targeting c-Myc in prostate cancer (LNCaP) cells. MiR-449a was upregulated and c-Myc was downregulated in response to IR in LNCaP cells. Overexpression of miR-449a or knockdown of c-Myc promoted the sensitivity of LNCaP cells to IR. By establishing c-Myc as a direct target of miR-449a, we revealed that miR-449a enhanced radiosensitivity by repressing c-Myc expression in LNCaP cells. Furthermore, we showed that miR-449a enhanced radiation-induced G2/M phase arrest by directly downregulating c-Myc, which controlled the Cdc2/CyclinB1 cell cycle signal by modulating Cdc25A. These results highlight an unrecognized mechanism of miR-449a-mediated c-Myc regulation in response to IR and may provide alternative therapeutic strategies for the treatment of prostate cancer.

Biomarkers for prostate cancer: present challenges and future opportunities

Prostate cancer (PCa) has variable biological potential with multiple treatment options. A more personalized approach, therefore, is needed to better define men at higher risk of developing PCa, discriminate indolent from aggressive disease and improve risk stratification after treatment by predicting the likelihood of progression. This may improve clinical decision-making regarding management, improve selection for active surveillance protocols and minimize morbidity from treatment. Discovery of new biomarkers associated with prostate carcinogenesis present an opportunity to provide patients with novel genetic signatures to better understand their risk of developing PCa and help forecast their clinical course. In this review, we examine the current literature evaluating biomarkers in PCa. We also address current limitations and present several ideas for future studies.

Should Gleason 6 be labeled as cancer?

PUPOSE OF REVIEW

The review covers arguments for and against removing the label of 'cancer' in Gleason score 6 prostate tumors.

RECENT FINDINGS

While there are a number of factors that determine whether men elect active surveillance, the most powerful predictor remains the Gleason score. Gleason grading remains a robust and powerful predictor of outcome in patients with prostate cancer. A pure Gleason score 6 (GS6) tumor is exceedingly unlikely to cause harm in the near term, and there have been discussions regarding whether the term cancer should still be applied. In this review, we update the largely clinico-pathological arguments that have led to the suggestion to remove the cancer label from GS6 tumors, and we provide counter arguments on the basis of practical matters of needle biopsy sampling, classical histopathology, and molecular biology findings.

SUMMARY

The implications are that by retaining the label of cancer and implementing the recently proposed concept of prognostic groups, with patients harboring GS6 tumors placed into the lowest category, there is still a strong rationale in support of the choice of active surveillance or watchful waiting for most patients with GS6 lesions.

Genomic Predictors of Outcome in Prostate Cancer

CONTEXT

Given the highly variable behavior and clinical course of prostate cancer (PCa) and the multiple available treatment options, a personalized approach to oncologic risk stratification is important. Novel genetic approaches offer additional information to improve clinical decision making.

OBJECTIVE

To review the use of genomic biomarkers in the prognostication of PCa outcome and prediction of therapeutic response.

EVIDENCE ACQUISITION

Systematic literature review focused on human clinical studies reporting outcome measures with external validation. The literature search included all Medline, Embase, and Scopus articles from inception through July 2014.

EVIDENCE SYNTHESIS

An improved understanding of the genetic basis of prostate carcinogenesis has produced an increasing number of potential prognostic and predictive tools, such as transmembrane protease, serine2:v-ets avian erythroblastosis virus E26 oncogene homolog (TMPRSS2:ERG) gene fusion status, loss of the phosphatase and tensin homolog (PTEN) gene, and gene expression signatures utilizing messenger RNA from tumor tissue. Several commercially available gene panels with external validation are now available, although most have yet to be widely used. The most studied commercially available gene panels, Prolaris, Oncotype DX Genomic Prostate Score, and Decipher, may be used to estimate disease outcome in addition to clinical parameters or clinical nomograms. ConfirmMDx is an epigenetic test used to predict the results of repeat prostate biopsy after an initial negative biopsy. Additional future strategies include using genetic information from circulating tumor cells in the peripheral blood to guide treatment decisions at the initial diagnosis and at subsequent decision points.

CONCLUSIONS

Major advances have been made in our understanding of PCa biology in recent years. Our field is currently exploring the early stages of a personalized approach to augment traditional clinical decision making using commercially available genomic tools. A more comprehensive appreciation of value, limitations, and cost is important.

PATIENT SUMMARY

We summarized current advances in genomic testing in prostate cancer with a special focus on the estimation of disease outcome. Several commercial tests are currently available, but further understanding is needed to appreciate the potential benefits and limitations of these novel tests.

Genetic markers associated with early cancer-specific mortality following prostatectomy

BACKGROUND

This study sought to identify novel effectors and markers of localized but potentially life-threatening prostate cancer (PCa), by evaluating chromosomal copy number alterations (CNAs) in tumors from patients who underwent prostatectomy and correlating these with clinicopathologic features and outcome.

METHODS

CNAs in tumor DNA samples from 125 patients in the discovery cohort who underwent prostatectomy were assayed with high-resolution Affymetrix 6.0 single-nucleotide polymorphism microarrays and then analyzed using the Genomic Identification of Significant Targets in Cancer (GISTIC) algorithm.

RESULTS

The assays revealed 20 significant regions of CNAs, 4 of them novel, and identified the target genes of 4 of the alterations. By univariate analysis, 7 CNAs were significantly associated with early PCa-specific mortality. These included gains of chromosomal regions that contain the genes MYC, ADAR, or TPD52 and losses of sequences that incorporate SERPINB5, USP10, PTEN, or TP53. On multivariate analysis, only the CNAs of PTEN (phosphatase and tensin homolog) and MYC (v-myc myelocytomatosis viral oncogene homolog) contributed additional prognostic information independent of that provided by pathologic stage, Gleason score, and initial prostate-specific antigen level. Patients whose tumors had alterations of both genes had a markedly elevated risk of PCa-specific mortality (odds ratio = 53; 95% CI = 6.92-405, P = 1 × 10(-4)). Analyses of 333 tumors from 3 additional distinct patient cohorts confirmed the relationship between CNAs of PTEN and MYC and lethal PCa.

CONCLUSIONS

This study identified new CNAs and genes that likely contribute to the pathogenesis of localized PCa and suggests that patients whose tumors have acquired CNAs of PTEN, MYC, or both have an increased risk of early PCa-specific mortality.

A 12-gene expression signature is associated with aggressive histological in prostate cancer: SEC14L1 and TCEB1 genes are potential markers of progression

The main challenge for clinical management of prostate cancer is to distinguish tumors that will progress faster and will show a higher tendency to recur from the more indolent ones. We have compared expression profiles of 18 prostate cancer samples (seven with a Gleason score of 6, eight with a Gleason score of 7, and three with a Gleason score of ≥8) and five nonneoplastic prostate samples, using the Affymetrix Human Array GeneChip Exon 1.0 ST. Microarray analysis revealed 99 genes showing statistically significant differences among tumors with Gleason scores of 6, 7, and ≥8. In addition, mRNA expression of 29 selected genes was analyzed by real-time quantitative RT-PCR with microfluidic cards in an extended series of 30 prostate tumors. Of the 29 genes, 18 (62%) were independently confirmed in the extended series by quantitative RT-PCR: 14 were up-regulated and 4 were down-regulated in tumors with a higher Gleason score. Twelve of these genes were differentially expressed in tumors with a Gleason score of 6 to 7 versus ≥8. Finally, IHC validation of the protein levels of two genes from the 12-gene signature (SEC14L1 and TCEB1) showed strong protein expression levels of both genes, which were statistically associated with a high combined Gleason score, advanced stage, and prostate-specific antigen progression. This set of genes may contribute to a better understanding of the molecular basis of prostate cancer. TCEB1 and SELC14L1 are good candidate markers for predicting prognosis and progression of prostate cancer.

Chromosomes 4 and 8 implicated in a genome wide SNP linkage scan of 762 prostate cancer families collected by the ICPCG

BACKGROUND

In spite of intensive efforts, understanding of the genetic aspects of familial prostate cancer (PC) remains largely incomplete. In a previous microsatellite-based linkage scan of 1,233 PC families, we identified suggestive evidence for linkage (i.e., LOD ≥ 1.86) at 5q12, 15q11, 17q21, 22q12, and two loci on 8p, with additional regions implicated in subsets of families defined by age at diagnosis, disease aggressiveness, or number of affected members.

METHODS

In an attempt to replicate these findings and increase linkage resolution, we used the Illumina 6000 SNP linkage panel to perform a genome-wide linkage scan of an independent set of 762 multiplex PC families, collected by 11 International Consortium for Prostate Cancer Genetics (ICPCG) groups.

RESULTS

Of the regions identified previously, modest evidence of replication was observed only on the short arm of chromosome 8, where HLOD scores of 1.63 and 3.60 were observed in the complete set of families and families with young average age at diagnosis, respectively. The most significant linkage signals found in the complete set of families were observed across a broad, 37 cM interval on 4q13-25, with LOD scores ranging from 2.02 to 2.62, increasing to 4.50 in families with older average age at diagnosis. In families with multiple cases presenting with more aggressive disease, LOD scores over 3.0 were observed at 8q24 in the vicinity of previously identified common PC risk variants, as well as MYC, an important gene in PC biology.

CONCLUSIONS

These results will be useful in prioritizing future susceptibility gene discovery efforts in this common cancer.

Chromosome 8 markers of metastatic prostate cancer in African American men: gain of the MIR151 gene and loss of the NKX3-1 gene

BACKGROUND

Radical prostatectomy (RP) is not curative if patients have undetected metastatic prostate cancer. Markers that indicate the presence of metastatic disease would identify men who may benefit from systemic adjuvant therapy. Our approach was to analyze the primary tumors of men with metastatic disease versus organ-confined disease to identify molecular changes that distinguish between these groups.

METHODS

Patients were identified based on long-term follow-up of serum prostate specific antigen (PSA) levels following RP. We compared the tumors of African American (AA) men with undetectable serum PSA for >9 year after RP (good outcome) versus those of AA men with a rising PSA and recurrence after radiation or androgen ablation or both (poor outcome). We used real-time quantitative PCR to assay gene copy number alterations in tumor DNA relative to patient-matched non-tumor DNA isolated from paraffin-embedded tissue. We assayed several genes located in the specific regions of chromosome 8p and 8q that frequently undergo loss and/or gain, respectively, in prostate cancer, and the androgen receptor gene at Xq12.

RESULTS

Gain of the MIR151 gene at 8q24.3 (in 33% of poor outcome vs. 6% of good outcome tumors) and/or loss of the NKX3-1 gene at 8p21.2 (in 39% of poor outcome vs. 11% of good outcome tumors) affected 67% of poor outcome tumors, compared to only 17% of good outcome tumors.

CONCLUSIONS

Copy number gain of the MIR151 gene and/or loss of the NKX3-1 gene in the primary tumor may indicate the presence of metastatic disease.

Distinct germ line polymorphisms underlie glioma morphologic heterogeneity

Two recent genome-wide association studies reported that single nucleotide polymorphisms (SNPs) in (or near) TERT (5p15), CCDC26 (8q24), CDKN2A/B (9p21), PHLDB1 (11q23), and RTEL1 (20q13) are associated with infiltrating glioma. From these reports, it was not clear whether the single nucleotide polymorphism associations predispose to glioma in general or whether they are specific to certain glioma grades or morphologic subtypes. To identify hypothesized associations between susceptibility loci and tumor subtype, we genotyped two case-control groups composed of the spectrum of infiltrating glioma subtypes and stratified the analyses by type. We report that specific germ line polymorphisms are associated with different glioma subtypes. CCDC26 (8q24) region polymorphisms are strongly associated with oligodendroglial tumor risk (rs4295627, odds ratio [OR] = 2.05, P = 8.3 × 10(-11)) but not glioblastoma risk. The opposite is true of RTEL (20q13) region polymorphisms, which are significantly associated with glioblastoma (rs2297440, OR = 0.56, P = 4.6 × 10(-10)) but not oligodendroglial tumor. The SNPs in or near CCDC26 (8q24) are associated with oligodendroglial tumors regardless of combined 1p and 19q deletion status; however, the association is greatest for those with combined deletion (rs4295627, OR = 2.77, P = 2.6 × 10(-9)). These observations generate hypotheses concerning the possible mechanisms by which specific SNPs (or alterations in linkage disequilibrium with such SNPs) are associated with glioma development.

Chromosome 8p deletions and 8q gains are associated with tumor progression and poor prognosis in prostate cancer

PURPOSE

Deletions of 8p and gains of 8q belong to the most frequent cytogenetic alterations in prostate cancer. The target genes of these alterations and their biological significance are unknown.

EXPERIMENTAL DESIGN

To determine the relationship between chromosome 8 changes, and prostate cancer phenotype and prognosis, a set of 1.954 fully annotated prostate cancers were analyzed in a tissue microarray format by fluorescence in situ hybridization.

RESULTS

Both 8p deletions and 8q gains increased in number during different stages of prostate cancer progression. 8p deletions/8q gains were found in 26.1%/4.8% of 1,239 pT(2) cancers, 38.5%/9.8% of 379 pT(3a) cancers, 43.5%/8.9% of 237 pT(3b) cancers, 40.7%/14.8% of 27 pT(4) cancers, 39.1%/34.8% of 23 nodal metastases, 51.9%/33.3% of 27 bone metastases, and 45.5%/59.9% of 22 hormone refractory cancers (P < 0.0001 each). Both 8p deletions and 8q gains were also significantly associated with high Gleason grade and with each other (P < 0.0001 each). In primary tumors, 8p deletions were seen in only 27.3% of 1,882 cancers without 8q gain but in 57.4% of 122 tumors with 8q gain (P < 0.0001). Among cancers treated with radical prostatectomy, 8p deletions (P = 0.003) and 8q gains (P = 0.02) were associated with biochemical tumor recurrence. However, multivariate analysis (including prostate-specific antigen, pT/pN stage, Gleason score, and surgical margin status) did not reveal any statistically independent effect of 8p or 8q alterations on biochemical tumor recurrence.

CONCLUSIONS

8p deletions and 8q gains are relatively rare in early stage prostate cancer but often develop during tumor progression. The prognostic effect does not seem to be strong enough to warrant clinical application.

Genetic profile identification in clinically localized prostate carcinoma

PURPOSE

To confirm our previously obtained results, we genetically characterized prostate cancer from patients undergo radical prostatectomy in a retrospective study.

MATERIALS AND METHODS

Histological sections were evaluated for 106 patients treated with surgery from 1991 to 2004. With fluorescence in situ hybridization (FISH) method, the status of LPL (8p22), c-MYC (8q24) genes and 7, 8, X chromosomes was evaluated.

RESULTS

Chromosomes 7, 8, X aneusomy was demonstrated in 91.5%, 78.3%, and 51.9% of the samples, respectively, whereas LPL deletion and MYC amplification were found in 76.0% and 1.6%. A genetic profile was considered as unfavorable when at least two aneusomic chromosomes and one altered gene were present. Tumors with an adverse genetic profile were more frequently present in patients with higher stages (P = 0.02), biochemical/clinical progression (P = 0.03), and Gleason grade 4 + 3 (P = 0.02). Multiple correspondence analysis identified one tumor group characterized by chromosome 8 aneusomy, X polysomy, LPL gene deletion, Gleason > 7 and 4 + 3 associated with progression.

CONCLUSIONS

In this study, we recognized the predictive power of previously identified cytogenetic profiles. Assessment of genetic set may characterize each patient and have influence on postoperative therapeutic strategies.

A tissue biomarker panel predicting systemic progression after PSA recurrence post-definitive prostate cancer therapy

Background

Many men develop a rising PSA after initial therapy for prostate cancer. While some of these men will develop a local or metastatic recurrence that warrants further therapy, others will have no evidence of disease progression. We hypothesized that an expression biomarker panel can predict which men with a rising PSA would benefit from further therapy.

Methodology/Principal Findings

A case-control design was used to test the association of gene expression with outcome. Systemic (SYS) progression cases were men post-prostatectomy who developed systemic progression within 5 years after PSA recurrence. PSA progression controls were matched men post-prostatectomy with PSA recurrence but no evidence of clinical progression within 5 years. Using expression arrays optimized for paraffin-embedded tissue RNA, 1021 cancer-related genes were evaluated–including 570 genes implicated in prostate cancer progression. Genes from 8 previously reported marker panels were included. A systemic progression model containing 17 genes was developed. This model generated an AUC of 0.88 (95% CI: 0.84–0.92). Similar AUCs were generated using 3 previously reported panels. In secondary analyses, the model predicted the endpoints of prostate cancer death (in SYS cases) and systemic progression beyond 5 years (in PSA controls) with hazard ratios 2.5 and 4.7, respectively (log-rank p-values of 0.0007 and 0.0005). Genes mapped to 8q24 were significantly enriched in the model.

Conclusions/Significance

Specific gene expression patterns are significantly associated with systemic progression after PSA recurrence. The measurement of gene expression pattern may be useful for determining which men may benefit from additional therapy after PSA recurrence.

Diagnostic significance of allelic imbalance in cancer

Allelic imbalance (AI), a deviation from the normal 1:1 ratio of maternal and paternal alleles, occurs in virtually all solid and blood-borne malignancies. The frequency and spectrum of AI in a tumor cell reflects the karyotypic complexity of the cancer genome. Hence, many investigations have assessed the extent of AI to analyze differences between normal and tumor tissues in a variety of different organs. In this review, the authors describe established and emerging technologies used to assess the extent of AI in human tissues, and their application in the diagnosis of cancer. The four major methods to be reviewed represent powerful and widely used tools for the identification of allelic imbalances accompanying cancer initiation and progression. These are fluorescent in situ hybridization, comparative genomic hybridization, single nucleotide polymorphism arrays and the use of microsatellite markers. For each method, the authors provide a brief description of the approach and elaborate on specific studies that highlight its utility in the diagnosis of human cancers.

Statistical recombinant mapping in extended high-risk Utah pedigrees narrows the 8q24 prostate cancer locus to 2.0 Mb

BACKGROUND

Chromosome 8q24 is a region of compelling interest for prostate cancer (PRCA). Linkage, association, and admixture analysis initially indicated the region. Subsequently, several variants at 8q24 have been found to independently associate with PRCA. One compelling hypothesis is allelic heterogeneity, whereby multiple variants affect the regulation of the same gene. In addition to potential allelic heterogeneity, 8q24 exhibits strong linkage disequilibrium over vast distances and is prone to chromosomal aberrations.

METHODS

Allelic heterogeneity and complex chromosomal structure are factors that hinder progress towards gene identification using association. Linkage techniques, however, are robust to allelic heterogeneity and therefore can contribute important localization information. We have used a linkage-based localization technique to perform recombinant mapping in eight high-risk Utah pedigrees.

RESULTS

Using pedigree-based recombinant mapping we identify a 5.7 Mb region at 8q24.21-22, between markers D8S1774 and D8S557. Considering our region with the localization previously presented, we can delimit the 8q24 PRCA locus to a 2.0 Mb consensus interval from 127.5 to 129.5 Mb.

CONCLUSION

We have used a linkage-based, recombinant mapping technique in extended high-risk Utah pedigrees to successfully narrow the 8q24 PRCA locus. The region we present halves the 95% credible interval previously described using admixture analysis and contains only three annotated genes: FAM84B, MYC, and TMEM75. It should be noted that LD stretches far beyond the interval we describe, and hence this region adds important information about where to focus future efforts to isolate the causal variants and underlying gene, whether by linkage or association techniques.

Genomic profiling of hormone-naïve lymph node metastases in patients with prostate cancer

The progression of organ-confined prostate cancer to metastatic cancer is inevitably fatal. Consequently, identification of structural changes in the genome and associated transcriptional responses that drive this progression is critical to understanding the disease process and the development of biomarkers and therapeutic targets. In this study, whole genome copy number changes in genomes of hormone-naïve lymph node metastases were profiled using array comparative genomic hybridization, and matched primaries were included for a subset. Matched primaries and lymph node metastases showed very similar copy number profiles that are distinct from primary tumors that fail to metastasize.

Fluorescence in situ hybridization analysis of c-myc amplification in stage TNM prostate cancer in Japanese patients

OBJECTIVE

Genetic aberration such as the amplification of c-myc has been commonly found in advanced prostate cancer. The aim of this study was to elucidate chromosome 8 alteration, including a gain and amplification of 8q24 (c-myc gene), related to the progression and survival in advanced (Stage C) prostate cancer.

MATERIALS AND METHODS

We used dual-probe fluorescence in situ hybridization with a centromere-specific probe for chromosome 8 (8cen), and with a region-specific probe for c-myc (8q24) to evaluate genetic changes in tumor samples from 50 patients who had undergone radical retropubic prostatectomy from 1986 to 2001.

RESULTS

We classified the 8cen and c-myc copy numbers as normal, gain and amplification. The carcinoma foci with extra copies of c-myc, which was defined in 35 cases (70%), were divided into two groups: (a) a simple gain of the whole chromosome 8 (no increase in the c-myc copy number relative to the chromosome 8 centromere), which was identified in 15 cases (30%); and (b) a substantial amplification of c-myc (additional increases [AI] in the c-myc copy number relative to the chromosome 8 centromere), which was detected in 20 cases (40%). AI-c-myc was strongly associated with higher histopathological grades and Gleason's scores (P = 0.0330, 0.0190, respectively). Patients with the AI-c-myc had earlier disease progression (P = 0.0029) and earlier cancer death (P = 0.0087) than did patients with normal patterns.

CONCLUSION

Identification of an AI-c-myc may serve as a potential marker of prostate cancer progression.

Expression analysis of imbalanced genes in prostate carcinoma using tissue microarrays

To identify candidate genes relevant for prostate tumour prognosis and progression, we performed an exhaustive gene search in seven previously described genomic-profiling studies of 161 prostate tumours, and four expression profiling studies of 61 tumours. From the resulting list of candidate genes, six were selected for protein-expression analysis based on the availability of antibodies applicable to paraffinised tissue: fatty acid synthase (FASN), MYC, β-adrenergic receptor kinase 1 (BARK1, GRK2) the catalytic subunits of protein phosphatases PP1α (PPP1CA) and PP2A (PPP2CB) and metastasis suppressor NM23-H1. These candidates were analysed by immunohistochemistry (IHC) on a tissue microarray containing 651 cores of primary prostate cancer samples and benign prostatic hyperplasias (BPH) from 175 patients. In univariate analysis, expression of PP1α (P=0.001) was found to strongly correlate with Gleason score. MYC immunostaining negatively correlated with both pT-stage and Gleason score (P<0.001 each) in univariate as well as in multivariate analysis. Furthermore, a subgroup of patients with high Gleason scores was characterised by a complete loss of BARK1 protein (P=0.023). In conclusion, our study revealed novel molecular markers of potential diagnostic and therapeutic relevance for prostate carcinoma.

Relative copy number gain of MYC in diagnostic needle biopsies is an independent prognostic factor for prostate cancer patients

OBJECTIVES

We have recently shown using comparative genomic hybridization (CGH) that 8q gain is an independent predictor of poor survival for prostate cancer patients. Because CGH may be difficult to implement in the clinical practice, we tested the feasibility of using a three-color fluorescent assay to assess 8q status in diagnostic, paraffin-embedded biopsy samples from prostate cancer patients.

METHODS

Fluorescence in situ hybridization with a dual-color probe flanking the MYC gene at 8q24 and a control probe for chromosome 18 was performed in a retrospective series of paraffin-embedded biopsies from 60 prostate cancer patients. The prognostic significance of 8q status was assessed by calculating disease-specific survival curves for these patients.

RESULTS

Whereas 44 (73%) samples displayed copy number gains of the MYC gene, a MYC/CEP18 ratio > or = 1.5 was detected in 36 (60%) samples. Kaplan-Meier curves with log-rank test showed that patients whose tumors displayed MYC/CEP18 ratio > or = 1.5 had a significantly worse disease-specific survival (p=0.003). The dual-color labelling of the MYC probe further allowed us to detect structural rearrangements of this gene in six (10%) carcinomas.

CONCLUSIONS

We show that a standard fluorescent protocol can successfully be applied to diagnostic needle biopsies to identify relative 8q gain in prostate carcinomas and that patients with a MYC/CEP18 ratio > or = 1.5 present a significantly higher risk of dying from the disease. The prognostic significance of this genetic variable was seen even for patients with Gleason score 7 or clinical stage II/III carcinomas, whose clinical behavior is currently difficult to predict.

Assessment of aberrations on chromosome 8 in prostatic atrophy

OBJECTIVE

To systematically examine the genetic alterations on chromosome 8 in prostate epithelia deriving from atrophic areas, and to compare these alterations with those of cells derived from prostatic intraepithelial neoplasia (PIN) and prostate cancer in the same organ.

MATERIAL AND METHODS

Tissue microarrays were constructed from 50 patients with histologically different tissues, including normal, PIN, atrophy and cancer lesions. Control samples were obtained from 10 patients who died from causes other than prostate cancer. Multicolour DNA probes for 8p22, centromere 8 and 8q24 were used to detect genetic alterations by fluorescence in situ hybridisation analysis.

RESULTS

Chromosomal alterations were detected on chromosome 8 in all analysed tissues. Including all observed signal patterns, a gradual increase of nuclei with loss of 8p22 was detected in normal (16%), in atrophy (21%), in PIN (25%) and in cancer tissue (31%), and there was gain in 8q24 in normal tissue (10%), in atrophy lesions (19%), in PIN (21%) and in cancer (27%). Generally, in all three lesion types the percentage of cells with 8q24 gain was significantly lower than the percentage of cells with loss of 8p22.

CONCLUSION

This investigation confirms the presence of severe chromosomal aberrations in the epithelium of the atrophic glands of the prostate. The aberrations are the same those that can be found in PIN and in prostate cancer. These findings confirm the genetic instability of the cells in the atrophic areas of the prostate, which can be a target for further injuries, leading to prostate cancer.

A molecular correlate to the Gleason grading system for prostate adenocarcinoma

Adenocarcinomas of the prostate can be categorized into tumor grades based on the extent to which the cancers histologically resemble normal prostate glands. Because grades are surrogates of intrinsic tumor behavior, characterizing the molecular phenotype of grade is of potential clinical importance. To identify molecular alterations underlying prostate cancer grades, we used microdissection to obtain specific cohorts of cancer cells corresponding to the most common Gleason patterns (patterns 3, 4, and 5) from 29 radical prostatectomy samples. We paired each cancer sample with matched benign lumenal prostate epithelial cells and profiled transcript abundance levels by microarray analysis. We identified an 86-gene model capable of distinguishing low-grade (pattern 3) from high-grade (patterns 4 and 5) cancers. This model performed with 76% accuracy when applied to an independent set of 30 primary prostate carcinomas. Using tissue microarrays comprising >800 prostate samples, we confirmed a significant association between high levels of monoamine oxidase A expression and poorly differentiated cancers by immunohistochemistry. We also confirmed grade-associated levels of defender against death (DAD1) protein and HSD17 beta4 transcripts by immunohistochemistry and quantitative RT-PCR, respectively. The altered expression of these genes provides functional insights into grade-associated features of therapy resistance and tissue invasion. Furthermore, in identifying a profile of 86 genes that distinguish high- from low-grade carcinomas, we have generated a set of potential targets for modulating the development and progression of the lethal prostate cancer phenotype.

Epithelial-Restricted Gene Profile of Primary Cultures from Human Prostate Tumors: A Molecular Approach to Predict Clinical Behavior of Prostate Cancer

The histopathologic and molecular heterogeneity of prostate cancer and the limited availability of human tumor tissue make unraveling the mechanisms of prostate carcinogenesis a challenging task. Our goal was to develop an ex vivo model that could be reliably used to define a prognostic signature based on gene expression profiling of cell cultures that maintained the tumor phenotype. To this end, we derived epithelial cultures from tissue explanted from 59 patients undergoing radical prostatectomy or cistoprostatectomy because of prostate benign hyperplasia/prostate cancer or bladder carcinoma. Patient selection criteria were absence of hormonal neoadjuvant treatment before surgery and diagnosis of clinically localized disease. Using this unique experimental material, we analyzed expression of 22,500 transcripts on the Affymetrix Human U133A GeneChip platform (Affymetrix, Inc., High Wycombe, United Kingdom). Cultures from normal/hyperplastic tissues with a prevalent luminal phenotype and from normal prostate epithelial tissue with basal phenotype (PrEC) served as controls. We have established a large number of prostate primary cultures highly enriched in the secretory phenotype. From them, we derived an epithelial-restricted transcriptional signature that (a) differentiated normal from tumor cells and (b) clearly separated cancer-derived lines into two distinct groups, which correlated with indolent or aggressive clinical behavior of the disease. Our findings provide (a) a method to expand human primary prostate carcinoma cells with a luminal phenotype, (b) a powerful experimental model to study primary prostate cancer biology, and (c) a novel means to characterize these tumors from a molecular genetic standpoint for prognostic and/or predictive purposes.

Allelic loss at 16q23.2 is associated with good prognosis in high grade prostate cancer

PURPOSE

Loss of heterozygosity (LOH) at 16q23.2 is an early and frequent event in prostate cancer. LOH is thought to be involved in tumor development and progression mainly through inactivation of tumor suppressor genes. However, it has been demonstrated that LOH at 16q23.2 is an independent marker of good prognosis in breast cancer. In the present study, we evaluated the clinical relevance of 16q23.2 LOH in prostate cancer, together with other LOH frequently associated with this disease.

EXPERIMENTAL DESIGN

Tumoral and normal DNA were extracted from 61 radical prostatectomies, including 30 pT2 tumors with low Gleason score 5,6 (group 1), and 31 pT3 high grade (G8-9) tumors (group 2). Median follow-up after surgery was 42 months. Three patients reccured in group 1, and 20 in group 2. LOH analysis was performed using highly informative microsatellites markers, at 16q23.2, and at other chromosome loci frequently deleted in prostate cancer: 7q31, 8p22, 12p13, 13q14, and 18q21.

RESULTS

LOH at 16q23.2 is associated with low stage low grade tumors and lower preoperative PSA, while LOH at 8p22 is more frequent in high stage high grade prostate cancer. In group 2, 16q23.2 LOH was the only predictor of disease-free survival in univariate and multivariate analysis, and the cumulative LOH rate was not higher in patients non-deleted for 16q23.2.

CONCLUSION

These results emphasize the interest of 16q23.2 as an independent prognostic factor in high-grade prostate cancer, and suggest that this chromosomal region may contain a gene involved in tumor progression.

Relationship of NKX3.1 and MYC gene copy number ratio and DNA hypomethylation to prostate carcinoma stage

OBJECTIVE

High stage prostate cancers have been reported to frequently harbor chromosome 8 alterations and hypomethylation of LINE-1 retrotransposons. The potential of these parameters for molecular staging of prostate carcinoma was investigated.

METHODS

High molecular weight DNA was extracted from 63 carcinoma tissues (22 pT2, 38 pT3, 3 pT4). Chromosome 8 alterations were followed by determining the ratio of NKX3.1 (at 8p21) to MYC (at 8q24) gene copy numbers (NKX3.1:MYC ratio) using a new real-time PCR technique. LINE-1 hypomethylation was quantified by Southern blot analysis.

RESULTS

In 42 carcinomas NKX3.1 copy numbers were altered, with decreases in 32 cases. Copy numbers of MYC were increased in 38 cases and diminished in four. The NKX3.1:MYC ratio was altered in 45 specimens, with a decrease in all but two. NKX3.1 loss was associated with tumor stage (p<0.03) and MYC gain with Gleason score (p<0.03). The NKX3.1:MYC ratio was highly significantly associated with tumor stage (p<0.002), displaying 66% sensitivity and 87% specificity. LINE-1 hypomethylation was related (p<0.004) to tumor stage, but exhibited lower sensitivity (59%) and specificity (77%).

CONCLUSION

A straightforward PCR technique detecting chromosome 8 alterations might be useful to predict which prostate cancers are organ-confined while determination of hypomethylation appears to be somewhat less well suited.

Molecular pathology of prostate cancer

The molecular pathology of prostate cancer is complex; not only are multiple genes involved in its pathogenesis, but additional environmental factors such as diet and inflammation are also involved. The exhaustive research into prostate cancer to date has demonstrated a complex interaction of multiple genes and environmental factors, some of which may be more important in individual prostate cancer cases. This is an exciting era, with the emergence of new investigative tools such as DNA microarray technology and the application of the field of proteomics to the study of human cancers. Knowledge of genetic changes underlying the initiation, development, and progression of prostate cancer is accumulating rapidly. With increasing knowledge, it may be possible to distinguish indolent from aggressive prostate tumours by molecular fingerprinting. This review discusses the most consistently reported molecular pathological findings in hereditary and sporadic prostate cancer, together with new concepts and technologies.

Cytogenetic profiles as additional markers to pathological features in clinically localized prostate carcinoma

Fluorescence in situ hybridization analysis for evaluation of 7, 8, X chromosomes and EGFR, LPL, MYC, AR genes in 79 neoplastic foci from 56 patients with clinically localized prostate cancer was performed. We found aneusomy for chromosome 7, 8 and X in 74/77 (96.1%), 56/76 (73.7%), 26/70 (37.1%) of examined foci respectively. No specimen was amplified for EGFR and AR genes, only 2/71 (2.8%) specimens showed MYC gene amplified. LPL deletion was present in 52/76 (68.4%) specimens. Statistically association between Gleason score and both chromosome 7 aneusomy and 8p21 deletion was present. The frequency of chromosome 7 aneusomy was statistically higher in T3-4 cases than T2c and T2a-T2b ones. We considered as unfavorable a genetic set if aneusomy for at least two chromosomes and one altered gene were present. The percentage of tumors, with unfavorable genetic pattern, increased from 36.4 to 75.0% in those with Gleason >7 and from 40.0 to 73.7% in those with stage T3 or more. These alterations could be considered potent genetic markers adjunctive to conventional prognostic parameters. Our objective was to establish specific genetic profiles which may discriminate favorable and unfavorable genetic prognosis tumors.

High frequency of allelic losses in high-grade prostate cancer is associated with biochemical progression after radical prostatectomy

Loss of heterozygosity (LOH) is the most consistent genetic change in prostate cancer (CaP). We aimed, to correlate specific LOH and the overall LOH frequency, to disease progression after radical prostatectomy (RP) in high-grade CaP. Between January 1990 through December 1998, 126 patients who underwent RP (cT1-T2), Gleason 8-10, were pT3, or pN1, or SM(+) (surgical margins). Nine were lost of follow-up, 39/117 (33%) had no biochemical progression (mean follow-up: 45 months). After exclusion for preoperative PSA >50 ng/mL, a case-control study was designed by matching 26 of these cases with 26 similar patients without biochemical progression (criteria: pT, pN, year of surgery). Using microsatellite markers, LOH were assessed on six chromosomal regions (7q31, 8p22, 12p13, 13q14, 16q23.2, 18q21). No prognostic value was associated with LOH at any one specific locus. However, the overall LOH frequency (five classes, cutoff of 60%), was significantly higher if progression (P = 0.02; P = 0.03) in SM(+) patients, and was near statistical significance (P = 0.08; P = 0.07) for the overall case-control population. In multivariate analysis (overall population), the overall LOH rate > or =60% was independently associated with progression [P = 0.035; Odds Ratio (OR) = 5.54]. An overall LOH rate > or =60% predicted poor outcome in 85% of SM(+) patients and 69% of the whole population. Our results suggest that the overall rate of LOH at chromosomal "hot spots" is more likely to be predictive of recurrence than the presence of LOH at any one particular locus. Moreover, the identification of a threshold of LOH could help in predicting patients with poor outcome who may be candidates for local or systemic adjuvant therapies.

Molecular Markers and Prostate Cancer Prognosis

Prostate cancer is the most common malignancy among American men and is the second-leading cause of cancer-related mortality. Although radical prostatectomy and radiation therapy offer hope for cure for the majority of men with localized tumors, we continue to lack the tools to definitively determine which cancers need to be treated, which cancers will recur after treatment, and which cancers will behave aggressively when they have metastasized. Recent breakthroughs in molecular biology have led to the identification of a number of potential biomarkers for prostate cancer, many of which have been suggested to have prognostic significance. Eventually, combinations of these markers will hopefully enable us to more rationally facilitate counseling and direct management for men with prostate cancer.

Surgical margin and Gleason score as predictors of postoperative recurrence in prostate cancer with or without chromosome 8p allelic imbalance

BACKGROUND

Identification of prostate cancer patients at risk for postoperative disease recurrence is an important clinical issue. Existing pathological markers can predict disease recurrence only to a certain extent, and there is a need for more accurate predictors.

METHODS

Using "counting alleles," a novel experimental method, we determined allelic status of chromosome 8p in 107 prostatectomy specimens. Statistical analyses examined the association between pathologic predictors (Gleason score, stage, surgical margin, etc.) and cancer recurrence in patients with and without 8p allelic imbalance (8p AI).

RESULTS

8p AI cancers were more likely to recur in the presence of a positive surgical margin, whereas recurrence of 8p retaining tumors was associated with the Gleason score, but not with the surgical margin.

CONCLUSIONS

Our findings suggest that chromosome 8p allelic status affects the predictive value of "traditional" markers of prostate cancer recurrence. If confirmed by larger studies, these results may have important clinical implications.

Fluorescence in situ hybridization of cytologic specimens from Barrett's esophagus: a pilot feasibility study

BACKGROUND

Endoscopic brush cytology is a promising surveillance technique for Barrett's esophagus. However, there is a need for ancillary biomarkers to increase the sensitivity of cytology and to allow identification of patients at increased risk for disease progression. The aims of this study were to evaluate the feasibility of fluorescence in situ hybridization of endoscopic brush cytology specimens and to determine if there are specific chromosomal changes in cytologic specimens from patients with cancer that are not present in patients without dysplasia.

METHODS

Archival cytology slides from 16 patients with Barrett's esophagus were studied: 8 negative for dysplasia and 8 positive for adenocarcinoma. Fluorescence in situ hybridization was used to detect two alterations: HER-2 gene (17q11.2-q12) and 20q13.2 region amplification.

OBSERVATIONS

For 7 of 8 adenocarcinoma cases, there was amplification/aneusomy of at least one of the two analyzed regions by fluorescence in situ hybridization. None of the samples negative for dysplasia were abnormal for either of the two genomic regions studied.

CONCLUSIONS

Fluorescence in situ hybridization is feasible by using routine Barrett's esophagus cytologic specimens. Differences in genomic makeup can be detected in cells from patients negative for dysplasia and in those with adenocarcinoma.

Human prostate cancer risk factors

Prostate cancer has the highest prevalence of any nonskin cancer in the human body, with similar likelihood of neoplastic foci found within the prostates of men around the world regardless of diet, occupation, lifestyle, or other factors. Essentially all men with circulating androgens will develop microscopic prostate cancer if they live long enough. This review is a contemporary and comprehensive, literature-based analysis of the putative risk factors for human prostate cancer, and the results were presented at a multidisciplinary consensus conference held in Crystal City, Virginia, in the fall of 2002. The objectives were to evaluate known environmental factors and mechanisms of prostatic carcinogenesis and to identify existing data gaps and future research needs. The review is divided into four sections, including 1) epidemiology (endogenous factors [family history, hormones, race, aging and oxidative stress] and exogenous factors [diet, environmental agents, occupation and other factors, including lifestyle factors]); 2) animal and cell culture models for prediction of human risk (rodent models, transgenic models, mouse reconstitution models, severe combined immunodeficiency syndrome mouse models, canine models, xenograft models, and cell culture models); 3) biomarkers in prostate cancer, most of which have been tested only as predictive factors for patient outcome after treatment rather than as risk factors; and 4) genotoxic and nongenotoxic mechanisms of carcinogenesis. The authors conclude that most of the data regarding risk relies, of necessity, on epidemiologic studies, but animal and cell culture models offer promise in confirming some important findings. The current understanding of biomarkers of disease and risk factors is limited. An understanding of the risk factors for prostate cancer has practical importance for public health research and policy, genetic and nutritional education and chemoprevention, and prevention strategies.

Molecular markers to identify patients at risk for recurrence after primary treatment for prostate cancer

Accurate prognostication is a prerequisite for accurate therapeutics and management of prostate cancer because indolent tumors may require no intervention, whereas aggressive tumors lead to patient mortality. There is a critical need to define these subgroups of patients with prostate cancer differing in clinical outcome. Prognostic nomograms based on clinical data provide useful predictions of clinical states and outcomes, but they need further refinements to improve accuracy and universality. Genomic and proteomic analyses have provided many novel markers that may help define prognostic parameters based on the underlying biology of prostate cancer progression at the molecular level. These molecular markers are likely to augment traditional prognostic modalities by providing a set of molecularly defined and quantifiable variables. Encompassing the genome, transcriptome, and proteome of prostate cancer will likely provide "molecular signatures" that will bridge prognostication, prediction, and treatment in a single continuum.

Allelic losses in localized prostate cancer: association with prognostic factors

PURPOSE

Loss of heterozygosity (LOH) is the most consistent genetic alteration in prostate cancer (CaP), frequently associated with advanced cancer and metastasis. We performed LOH analysis on 6 chromosomal regions of interest in localized CaP to obtain an overview of allelic losses in organ confined tumors and test the association with the usual prognostic factors.

MATERIALS AND METHODS

Tumoral and normal DNA were extracted from 48 radical prostatectomy specimens (all organ confined) with a Gleason score of 5 to 7. Biological and pathological data, such as prostate specific antigen (PSA), Gleason score and perineural invasion (PNI), were correlated with allelic losses at 7q31, 8p22, 12p13, 13q14, 16q23.2 and 18q21. Analysis was done by genotyping using highly informative microsatellites markers.

RESULTS

The rate of LOH was 25% for chromosomes 13 and 18, and between 40% and 47% for chromosomes 7, 8, 12 and 16. The mean frequency of overall LOH events was less than 34%. Except for the 12p13 and 16q23.2 loci no significant correlation was found between LOH and PSA or Gleason score. PNI was significantly associated with LOH on 8p22 (p = 0.003) and with a high frequency of LOH events (greater than 34%) (p = 0.02).

CONCLUSIONS

The frequency of allelic losses in localized and differentiated CaP is associated with PNI but not with the usual prognostic markers, such as PSA and Gleason score. The relationship between LOH on 8p22 and PNI suggests the presence on this region of a gene involved in epithelium/nerve interaction.

PROTEOME-3D: an interactive bioinformatics tool for large-scale data exploration and knowledge discovery

Comprehensive understanding of biological systems requires efficient and systematic assimilation of high-throughput datasets in the context of the existing knowledge base. A major limitation in the field of proteomics is the lack of an appropriate software platform that can synthesize a large number of experimental datasets in the context of the existing knowledge base. Here, we describe a software platform, termed PROTEOME-3D, that utilizes three essential features for systematic analysis of proteomics data: creation of a scalable, queryable, customized database for identified proteins from published literature; graphical tools for displaying proteome landscapes and trends from multiple large-scale experiments; and interactive data analysis that facilitates identification of crucial networks and pathways. Thus, PROTEOME-3D offers a standardized platform to analyze high-throughput experimental datasets for the identification of crucial players in co-regulated pathways and cellular processes.

Myc-driven murine prostate cancer shares molecular features with human prostate tumors

Increased Myc gene copy number is observed in human prostate cancer. To define Myc's functional role, we generated transgenic mice expressing human c-Myc in the mouse prostate. All mice developed murine prostatic intraepithelial neoplasia followed by invasive adenocarcinoma. Microarray-based expression profiling identified a Myc prostate cancer expression signature, which included the putative human tumor suppressor NXK3.1. Human prostate tumor databases revealed modules of human genes that varied in concert with the Myc prostate cancer signature. This module includes the Pim-1 kinase, a gene known to cooperate with Myc in tumorigenesis, and defines a subset of human, "Myc-like" human cancers. This approach illustrates how genomic technologies can be applied to mouse cancer models to guide evaluation of human tumor databases.

Molecular regulation of human cathepsin B: implication in pathologies

Cathepsin B is a papain-family cysteine protease that is normally located in lysosomes, where it is involved in the turnover of proteins and plays various roles in maintaining the normal metabolism of cells. This protease has been implicated in pathological conditions, e.g., tumor progression and arthritis. In disease conditions, increases in the expression of cathepsin B occur at both the gene and protein levels. At the gene level, the altered expression results from gene amplification, elevated transcription, use of alternative promoters and alternative splicing. These molecular changes lead to increased cathepsin B protein levels and in turn redistribution, secretion and increased activity. Here we focus on the molecular regulation of cathepsin B and attendant implications for tumor progression and arthritis. The potential of cathepsin B as a therapeutic target is also discussed.

[Molecular diagnostics of prostate cancer]

Although a number of studies have identified molecular markers for prostate cancer, their clinical utility remains mainly unclear. Markers, which allow improved determination of the biological aggressiveness of individual prostate cancers, may help to optimize therapeutic management of this heterogeneous tumor type. Here, a subset of molecular markers, which are intensively discussed in the literature or which are supposed to gain clinical utility in the future, are described in more detail. For a better survey, the markers are divided into (a) susceptibility markers, (b) malignancy markers, and (c) aggressiveness markers. The number of markers described as well as the inconsistency across studies in assessing their clinical utility reflect the heterogeneity of prostate cancer also on a genetic level so that it is unlikely that a single marker will gain clinical relevance. Future research must include systematic analysis of the clinical utility of not only single markers but rather of marker profiles in appropriate studies.

The novel human MOST-1 (C8orf17) gene exhibits tissue specific expression, maps to chromosome 8q24.2, and is overexpressed/amplified in high grade cancers of the breast and prostate

AIMS

To elucidate genes that participate in the process of oncogenesis, primers based on the E6 genes of genital human papillomaviruses (HPVs) were used to amplify potential expressed sequence tags (ESTs) from the MOLT-4 T lymphoblastic leukaemia cell line.

METHODS

Using the polymerase chain reaction (PCR) with human papillomavirus E6 gene primers, an EST from the MOLT-4 T lymphoblastic leukaemia cell line was amplified. Via rapid amplification of cDNA ends (RACE) and cycle sequencing from MOLT-4 and fetal lung cDNA libraries, overlapping cDNAs of 2786 bp and 2054 bp of the corresponding novel human intronless gene designated MOST-1 (for MOLT-4 sequence tag-1) were characterised and assigned the symbol C8orf17 by the HUGO Nomenclature Committee.

RESULTS

Both cDNAs contained a potential open reading frame (ORF) of 297 bp incorporating a methionine codon with an ideal Kozak consensus sequence for translation initiation, and encoding a putative hydrophilic polypeptide of 99 amino acids. Although reverse transcription PCR (RT-PCR) demonstrated MOST-1 expression in all 19 cancer and two normal cell lines tested, differential expression was seen in only nine of 16 normal tissues tested (heart, kidney, liver, pancreas, small intestine, ovary, testis, prostate, and thymus). A 388 bp fragment was amplified from the NS-1 mouse myeloma cell line, the sequence of which was identical to that within the MOST-1 ORF. The MOST-1 gene was mapped by fluorescent in situ hybridisation to chromosome 8q24.2, a region amplified in many breast cancers and prostate cancers, which is also the candidate site of potential oncogene(s) other than c-myc located at 8q24.1. Analysis of paired biopsies of invasive ductal breast cancer and adjacent normal tissue by semiquantitative and real time RT-PCR revealed average tumour to normal ratios of MOST-1 expression that were two times greater in grade 3 cancers than in grade 1 and 2 cancers. Quantitative real time PCR of archival prostatic biopsies displayed MOST-1 DNA values that were 9.9, 7.5, 4.2, and 1.4 times higher in high grade carcinomas, intermediate grade carcinomas, low grade carcinomas, and benign hyperplasias, respectively, than in normal samples.

CONCLUSIONS

These data suggest a role for MOST-1 in cellular differentiation, proliferation, and carcinogenesis.