Next-generation prostate cancer biobanking: toward a processing protocol amenable for the International Cancer Genome Consortium

Ex Vivo Fluorescence Confocal Microscopy (FCM) Ensures Representative Tissue in Prostate Cancer Biobanking: A Feasibility Study

Background: Biobanking of prostate carcinoma is particularly challenging due to the actual cancer within the organ often without clear margins. Frozen sections are to date the only way to examine the biobank material for its tumor content. We used ex vivo fluorescence confocal microscopy (FCM) to analyze biobank samples prior to cryoasservation. Methods: 127 punch biopsies were acquired from prostatectomy-specimens from 40 patients. These biopsies were analyzed with a Vivascope 2500-G4 prior to their transfer to the biobank. In difficult cases, larger samples of the prostatectomy specimens were FCM scanned in order to locate tumor foci. After patient acquisition, all samples were taken from the biobank and analyzed. We compared the results of the FCM examinations with the results of conventional histology and measured the DNA content. Results: With upstream FCM, the tumor content of biobank samples could be determined with high confidence. The detection rate of representative biobank samples was increased due to the rapid feedback. The biobank samples were suitable for further molecular analysis. Conclusion: FCM allows for the first time lossless microscopic analysis of biobank samples prior to their cryoasservation and guarantees representative tumor and normal tissue for further molecular analysis.

The rs78378222 prevalence and the copy loss of the protective allele A in the tumor tissue of diffuse large B-cell lymphoma

Background

Rare single nucleotide polymorphisms (SNPs) are likely to be a crucial genetic factor for human diseases, including cancer. rs78378222 is rare SNP in 3′-untranslated region (UTR) of TP53 gene leading to disturbance of 3′-end mRNA processing. The frequency of rs78378222 varies in several studied populations. The meta-analysis of 34 genome-wide association studies indicated that rs78378222 was significantly associated with an increased risk of cancer overall. Bioinformatic analysis indicates that somatic loss of the protective A allele of rs78378222 occurs in the tumor tissue of some malignant. The goal of the current study is to document the rs78378222 prevalence and evaluate the copy loss status of the protective allele A in the tumor tissue of patients with diffuse large B-cell lymphoma (DLBCL).

Methods

Total DNA was isolated from FFPE-samples and peripheral blood of patients with DLBCL and comparable in age and sex controls. rs78378222 genotyping was performed by the PCR-RFLP method using restriction endonuclease HindIII. Direct Sanger’s sequencing was used to confirm the presence of C allele of the rs78378222. The search for TP53 gene mutations was carried out by Sanger’s direct sequencing method, according to the IARC protocol.

Results

The result of genotyping of 136 DNA samples from DLBCL tumor tissue suggested that frequency of the rs78378222 was 11/136 (8.1%). Rare allele C frequency was 11/272 (4.2%). A total of 5/11 DLBCL rs78378222 heterozygous samples had the heterozygosity loss in the TP53 gene. Only one of these cases was combined with TP53 gene mutations which have proven oncogenic potential—p.Arg196Gln, other four cases have not mutations in the coding regions of gene.

Conclusions

At the stages of DLBCL initiation or progression a loss of the protective allele A of rs78378222 occurs. Further efforts are needed to study possible molecular mechanisms underlying somatic alterations in DLBCL in this region of the TP53 3′-UTR as well as functional studies to illustrate how the presents of rs78378222 may affect tumor progression of lymphoma.

A New Technique in Fresh Prostate Cancer Tissue Biobanking Based on MRI-Transrectal Ultrasound Fusion Biopsy

OBJECTIVE

To present and validate a new technique for biobanking fresh-frozen prostate cancer tissue based on MRI-transrectal ultrasound fusion biopsy.

MATERIALS AND METHODS

From August 2014 to August 2016, patients with elevated levels of PSA and at least 1 suspicious lesion on MRI were invited to this study. Each MRI-suspicious lesion was biopsied repeatedly for at least 2 cores in the same location. These repeated cores were labelled A/A', B/B', etc. The A/B cores were submitted for histologic assessment, and the corresponding A'/B' cores were stored in an -80°C freezer for biobanking. Sixty biobanked samples were processed for histologic assessment to compare their pathologic parameters with their corresponding paraffin samples. Another 20 biobanked samples were processed for RNA quality evaluation.

RESULTS

Fifty-six of the 60 selected banking samples matched their corresponding paraffin samples for benign vs malignant diagnosis, leading an overall concordance rate of 93.3%. There was no significant difference between banking samples and the corresponding paraffin samples in cancer percentage and Gleason score. The RNA Integrity Number value ranged from 6.8 to 9.3 (mean 7.89).

CONCLUSION

The current study demonstrates that the histologic identity of the banked prostate biopsy sample can be accurately predicted by its corresponding paraffin samples. MRI-TRUS fusion biopsy based biobanking method is highly efficient, timesaving, and has high quality tissues both at the histologic and RNA integrity levels.

PEOPLE: PatiEnt prOstate samPLes for rEsearch, a tissue collection pathway utilizing magnetic resonance imaging data to target tumor and benign tissue in fresh radical prostatectomy specimens

BACKGROUND

Over 1 million men are diagnosed with prostate cancer each year worldwide, with a wide range of research programs requiring access to patient tissue samples for development of improved diagnoses and treatments. A random sampling of prostate tissue is sufficient for certain research studies; however, there is growing research need to target areas of the aggressive tumor as fresh tissue. Here we set out to develop a new pathway "PEOPLE: PatiEnt prOstate samPLes for rEsearch" to collect high-quality fresh tissue for research use, using magnetic resonance imaging (MRI) to target areas of tumor and benign tissue.

METHODS

Prostate tissue was sampled following robotic radical prostatectomy, using MRI data to target areas of benign and tumor tissue. Initially, 25 cases were sampled using MRI information from clinical notes. A further 59 cases were sampled using an optimized method that included specific MRI measurements of tumor location along with additional exclusion criteria. All cases were reviewed in batches with detailed clinical and histopathological data recorded. For one subset of samples, DNA was extracted and underwent quality control. Ex vivo culture was carried out using the gelatin sponge method for an additional subset.

RESULTS

Tumor was successfully fully or partially targeted in 64% of the initial cohort and 70% of the optimized cohort. DNA of high quality and concentration was isolated from 39 tumor samples, and ex vivo culture was successfully carried out in three cases with tissue morphology, proliferation, and apoptosis remaining comparable before and after 72 hours culture.

CONCLUSION

Here we report initial data from the PEOPLE pathway; using a method for targeting areas of tumor within prostate samples using MRI. This method operates alongside the standard clinical pathway and minimizes additional input from surgical, radiological, and pathological teams, while preserving surgical margins and diagnostic tissue.

Molecular alterations in prostate cancer and association with MRI features

BACKGROUND

Multiparametric magnetic resonance imaging (mpMRI) has been increasingly used for prostate cancer (PCa). Recent studies identified distinct molecular subclasses of PCa with recurrent genomic alterations. However, the associations between molecular alterations in PCa and characteristics on mpMRI are unknown. Therefore, the objective of this study was to investigate recurrent molecular alterations in PCa and their associations with mpMRI features.

METHODS

Sixty-two PCa nodules >0.5 cm had a preoperative mpMRI. Nodules were evaluated for ERG rearrangement, PTEN deletion, SPINK1 overexpression, SPOP mutation and CHD1 deletion. Each PCa focus was matched to the corresponding location on mpMRI. Lesions were scored by single observer according to the PI-RADSv2 scale.

RESULTS

Of the 62 nodules, 22 (35.5%) were ERG positive, 6 (9.7%) had SPINK1 overexpression, 6 (9.7%) had SPOP mutations, 4 (6.5%) had CHD1 deletions and 1 (1.6%) had PTEN deletion. All of the nodules with CHD1 deletions were not visible on mpMRI (P=0.037). All of the nodules with SPINK1 overexpression were visible on mpMRI, although the association was not statistically significant (P=0.06). There were no significant associations between any molecular alteration with the severity of the PI-RADS scores (all P>0.05).

CONCLUSIONS

This investigation represents the first description of an association between recurrent molecular alterations and the characterization of PCa nodules on mpMRI. This study can be considered hypothesis-generating for future studies to rigorously evaluate the association of specific PCa molecular subclasses with imaging features and potentially define specific subsets of PCa for which the utility of MRI is higher or lower.

Next-Generation Rapid Autopsies Enable Tumor Evolution Tracking and Generation of Preclinical Models

PURPOSE

Patients with cancer who graciously consent for autopsy represent an invaluable resource for the study of cancer biology. To advance the study of tumor evolution, metastases, and resistance to treatment, we developed a next-generation rapid autopsy program integrated within a broader precision medicine clinical trial that interrogates pre- and postmortem tissue samples for patients of all ages and cancer types.

MATERIALS AND METHODS

One hundred twenty-three (22%) of 554 patients who consented to the clinical trial also consented for rapid autopsy. This report comprises the first 15 autopsies, including patients with metastatic carcinoma (n = 10), melanoma (n = 1), and glioma (n = 4). Whole-exome sequencing (WES) was performed on frozen autopsy tumor samples from multiple anatomic sites and on non-neoplastic tissue. RNA sequencing (RNA-Seq) was performed on a subset of frozen samples. Tissue was also used for the development of preclinical models, including tumor organoids and patient-derived xenografts.

RESULTS

Three hundred forty-six frozen samples were procured in total. WES was performed on 113 samples and RNA-Seq on 72 samples. Successful cell strain, tumor organoid, and/or patient-derived xenograft development was achieved in four samples, including an inoperable pediatric glioma. WES data were used to assess clonal evolution and molecular heterogeneity of tumors in individual patients. Mutational profiles of primary tumors and metastases yielded candidate mediators of metastatic spread and organotropism including CUL9 and PIGM in metastatic ependymoma and ANKRD52 in metastatic melanoma to the lung. RNA-Seq data identified novel gene fusion candidates.

CONCLUSION

A next-generation sequencing-based autopsy program in conjunction with a pre-mortem precision medicine pipeline for diverse tumors affords a valuable window into clonal evolution, metastasis, and alterations underlying treatment. Moreover, such an autopsy program yields robust preclinical models of disease.

Genomic Characterization and Comparison of Multi-Regional and Pooled Tumor Biopsy Specimens

A single tumor biopsy specimen is typically used in cancer genome studies. However, it may represent incompletely the underlying mutational and transcriptional profiles of tumor biology. Multi-regional biopsies have the advantage of increased sensitivity for genomic profiling, but they are not cost-effective. The concept of an alternative method such as the pooling of multiple biopsies is a challenge. In order to determine if the pooling of distinct regions is representative at the genomic and transcriptome level, we performed sequencing of four regional samples and pooled samples for four cancer types including colon, stomach, kidney and liver cancer. Subsequently, a comparative analysis was conducted to explore differences in mutations and gene expression profiles between multiple regional biopsies and pooled biopsy for each tumor. Our analysis revealed a marginal level of regional difference in detected variants, but in those with low allele frequency, considerable discrepancies were observed. In conclusion, sequencing pooled samples has the benefit of detecting many variants with moderate allele frequency that occur in partial regions, but it is not applicable for detecting low-frequency mutations that require deep sequencing.

Divergent clonal evolution of castration-resistant neuroendocrine prostate cancer

An increasingly recognized resistance mechanism to androgen receptor (AR)-directed therapy in prostate cancer involves epithelial plasticity, in which tumor cells demonstrate low to absent AR expression and often have neuroendocrine features. The etiology and molecular basis for this 'alternative' treatment-resistant cell state remain incompletely understood. Here, by analyzing whole-exome sequencing data of metastatic biopsies from patients, we observed substantial genomic overlap between castration-resistant tumors that were histologically characterized as prostate adenocarcinomas (CRPC-Adeno) and neuroendocrine prostate cancer (CRPC-NE); analysis of biopsy samples from the same individuals over time points to a model most consistent with divergent clonal evolution. Genome-wide DNA methylation analysis revealed marked epigenetic differences between CRPC-NE tumors and CRPC-Adeno, and also designated samples of CRPC-Adeno with clinical features of AR independence as CRPC-NE, suggesting that epigenetic modifiers may play a role in the induction and/or maintenance of this treatment-resistant state. This study supports the emergence of an alternative, 'AR-indifferent' cell state through divergent clonal evolution as a mechanism of treatment resistance in advanced prostate cancer.

A Multidisciplinary Biospecimen Bank of Renal Cell Carcinomas Compatible with Discovery Platforms at Mayo Clinic, Scottsdale, Arizona

To address the need to study frozen clinical specimens using next-generation RNA, DNA, chromatin immunoprecipitation (ChIP) sequencing and protein analyses, we developed a biobank work flow to prospectively collect biospecimens from patients with renal cell carcinoma (RCC). We describe our standard operating procedures and work flow to annotate pathologic results and clinical outcomes. We report quality control outcomes and nucleic acid yields of our RCC submissions (N=16) to The Cancer Genome Atlas (TCGA) project, as well as newer discovery platforms, by describing mass spectrometry analysis of albumin oxidation in plasma and 6 ChIP sequencing libraries generated from nephrectomy specimens after histone H3 lysine 36 trimethylation (H3K36me3) immunoprecipitation. From June 1, 2010, through January 1, 2013, we enrolled 328 patients with RCC. Our mean (SD) TCGA RNA integrity numbers (RINs) were 8.1 (0.8) for papillary RCC, with a 12.5% overall rate of sample disqualification for RIN <7. Banked plasma had significantly less albumin oxidation (by mass spectrometry analysis) than plasma kept at 25 °C (P<.001). For ChIP sequencing, the FastQC score for average read quality was at least 30 for 91% to 95% of paired-end reads. In parallel, we analyzed frozen tissue by RNA sequencing; after genome alignment, only 0.2% to 0.4% of total reads failed the default quality check steps of Bowtie2, which was comparable to the disqualification ratio (0.1%) of the 786-O RCC cell line that was prepared under optimal RNA isolation conditions. The overall correlation coefficients for gene expression between Mayo Clinic vs TCGA tissues ranged from 0.75 to 0.82. These data support the generation of high-quality nucleic acids for genomic analyses from banked RCC. Importantly, the protocol does not interfere with routine clinical care. Collections over defined time points during disease treatment further enhance collaborative efforts to integrate genomic information with outcomes.

Next-gen tissue: preservation of molecular and morphological fidelity in prostate tissue

BACKGROUND

Personalization of cancer therapy requires molecular evaluation of tumor tissue. Traditional tissue preservation involves formalin fixation, which degrades the quality of nucleic acids. Strategies to bank frozen prostate tissue can interfere with diagnostic studies. PAXgene is an alternative fixative that preserves protein and nucleic acid quality.

METHODS

Portions of prostates obtained from autopsy specimens were fixed in either 10% buffered formalin or PAXgene, and processed and embedded in paraffin. Additional sections were immediately embedded in OCT and frozen. DNA and RNA were extracted from the formalin-fixed, PAXgene-fixed, or frozen tissue. Quantitative PCR was used to compare the quality of DNA and RNA obtained from all three tissue types. In addition, 5 μm sections were cut from specimens devoid of cancer and from prostate cancer specimens obtained at prostatectomy and fixed in PAXgene. They were either stained with hematoxylin and eosin or interrogated with antibodies for p63, PSA and p504.

RESULTS

Comparable tissue morphology was observed in both the formalin and PAXgene-fixed specimens. Similarly, immunohistochemical expression of the P63, PSA and P504 proteins was comparable between formalin and PAXgene fixation techniques. DNA from the PAXgene-fixed tissue was of similar quality to that from frozen tissue. RNA was also amplified with up to 8-fold greater efficiency in the PAXgene fixed tissue compared to the formalin-fixed tissue.

CONCLUSIONS

Prostate specimens fixed with PAXgene have preserved histologic morphology, stain appropriately, and have preserved quality of nucleic acids. PAXgene fixation facilitates the use of prostatectomy tissue for molecular biology techniques such as next-generation sequencing.

Concurrent deletion of 16q23 and PTEN is an independent prognostic feature in prostate cancer

The deletion of 16q23-q24 belongs to the most frequent chromosomal changes in prostate cancer, but the clinical consequences of this alteration have not been studied in detail. We performed fluorescence in situ hybridization analysis using a 16q23 probe in more than 7,400 prostate cancers with clinical follow-up data assembled in a tissue microarray format. Chromosome 16q deletion was found in 21% of cancers, and was linked to advanced tumor stage, high Gleason grade, accelerated cell proliferation, the presence of lymph node metastases (p < 0.0001 each) and positive surgical margin (p = 0.0004). 16q Deletion was more frequent in ERG fusion-positive (27%) as compared to ERG fusion-negative cancers (16%, p < 0.0001), and was linked to other ERG-associated deletions including phosphatase and tensin homolog (PTEN) (p < 0.0001) and 3p13 (p = 0.0303). In univariate analysis, the deletion of 16q was linked to early biochemical recurrence independently from the ERG status (p < 0.0001). Tumors with codeletions of 16q and PTEN had a worse prognosis (p = 0.0199) than those with PTEN or the deletion of 16q alone. Multivariate modeling revealed that the prognostic value of 16q/PTEN deletion patterns was independent from the established prognostic factors. In summary, the results of our study demonstrate that the deletion of 16q and PTEN cooperatively drives prostate cancer progression, and suggests that deletion analysis of 16q and PTEN could be of important clinical value particularly for preoperative risk assessment of the clinically most challenging group of low- and intermediated grade prostate cancers.

Spanning the genomics era: the vital role of a single institution biorepository for childhood cancer research over a decade

The 'genomics era' is considered to have begun with the commencement of the Human Genome Project. As translational genomic studies can only be established when human tissue samples are available for analysis, biospecimens are now proven to be an essential element for their success. During the genomics era the necessity for more extensive biobanking infrastructure has been highlighted. With the increased number of genomic studies into cancer, it is considered that the availability of biospecimens will become the rate limiting step. Despite the efforts in international biobanking, translational genomics is hampered when there low numbers of biospecimens for a particular rare diseases and is most apparent for paediatric cancer. As there is a call for biobanking practice to be responsive to the current experimental needs of the time and for more expansive systems of tissue procurement to be established we have asked the question what role does a single institution biorepository play in the current highly networked world of translational genomics. Here we describe such a case. The Tumour Bank at The Children's Hospital at Westmead (TB-CHW) in the western suburbs of Sydney was formally established in 1998 as a key resource for translational paediatric cancer research. During the genomics era, we show that the TB-CHW has developed into a key biospecimen repository for the cancer research community, during which time it has increasingly found itself having a vital role in the establishment of translational genomics for paediatric cancer. Here we detail metrics that demonstrate how as a single institution biorepository, the TB-CHW has been a strong participant in the advancement of translational genomics throughout the genomics era. This paper describes the significant contribution of a single institutional hospital embedded tumour biobank to the genomic research community. Despite the increased stringencies placed on biobanking practice, the TB-CHW has shown that a single institution biorespository can have a consistent and effective contribution to translational research into rare paediatric malignancy demonstrating its long term benefit throughout the genomics era.

Strategies for biochemical and pathologic quality assurance in a large multi-institutional biorepository; The experience of the PROCURE Quebec Prostate Cancer Biobank

Well-characterized, high-quality fresh-frozen prostate tissue is required for prostate cancer research. As part of the PROCURE Prostate Cancer Biobank launched in 2007, four University Hospitals in Quebec joined to bank fresh frozen prostate tissues from radical prostatectomies (RP). As the biobank progressed towards allocation, the nature and quality of the tissues were determined. RP tissues were collected by standardized alternate mirror-image or biopsy-based targeted methods, and frozen for banking. Clinical/pathological parameters were captured. For quality control, two presumed benign and two presumed cancerous frozen, biobanked tissue blocks per case (10/site) were randomly selected during the five years of collection. In a consensus meeting, 4 pathologists blindly evaluated slides (n=160) and graded quality, Gleason score (GS), and size of cancer foci. The quality of tissue RNA (37/40 cases) was assessed using the RNA Integrity Number. The biobank included 1819 patients of mean age: 62.1 years; serum PSA: 8 ng/ml; prostate weight: 47.8 g; GS: 7; and pathological stage: T2 in 64.5%, T3A in 25.5% and T3B in 10% of cases. Of the 157 evaluable slides, 79 and 78 had benign and cancer tissue, respectively. GS for the 37 cancer-positive cases were: 6 in 9, 7 in 18 and >7 in 10 and, in most instances, in concordance with final GS. In 40% of slides containing cancer, foci occupied ≥50% of block surface and 42% had a diameter ≥1 cm. Tissue was well preserved and consistently yielded RNA of very good quality with RNA Integrity Number (RIN) >7 for 97% of cases (mean=8.7 ± 0.7) during the five-year collection period. This study confirms the high quality of randomly selected benign and cancerous fresh-frozen prostate tissues of the PROCURE Quebec Prostate Cancer Biobank. These results strengthen the uniqueness of this large prospective resource for prostate cancer research.

Biobanking for Personalized Medicine

A biobank is an entity that collects, processes, stores, and distributes biospecimens and relevant data for use in basic, translational, and clinical research. Biobanking of high-quality human biospecimens such as tissue, blood and other bodily fluids along with associated patient clinical information provides a fundamental scientific infrastructure for personalized medicine. Identification of biomarkers that are specifically associated with particular medical conditions such as cancer, cardiovascular disease and neurological disorders are useful for early detection, prevention, and treatment of the diseases. The ability to determine individual tumor biomarkers and to use those biomarkers for disease diagnosis, prognosis and prediction of response to therapy is having a very significant impact on personalized medicine and is rapidly changing the way clinical care is conducted. As a critical requirement for personalized medicine is the availability of a large collection of patient samples with well annotated patient clinical and pathological data, biobanks thus play an important role in personalized medicine advancement. The goal of this chapter is to explore the role of biobanks in personalized medicine and discuss specific needs regarding biobank development for translational and clinical research, especially for personalized medicine advancement.

Prostate cancer with Paneth cell-like neuroendocrine differentiation has recognizable histomorphology and harbors AURKA gene amplification

Aurora kinase A (AURKA) gene amplification has been documented in 67% of hormone-naive prostate cancer cases that progress to a highly aggressive variant of castrate-resistant disease, clinically referred to as "neuroendocrine" prostate cancer, "small cell" prostate carcinoma, or "anaplastic" prostate cancer. Therefore, AURKA amplification is a potential prognostic biomarker that may help to identify patients with prostate cancer who are at high risk for developing castrate-resistant disease with clinical features of small cell carcinoma. Furthermore, AURKA inhibitors are currently being tested in clinical trials. In a previous study, we found AURKA amplification in 6 cases of prostate cancer with Paneth cell-like cells. This morphologic pattern has been suggested to represent low-grade neuroendocrine differentiation (NED) with generally favorable prognosis. We sought to investigate the frequency of AURKA amplification and the histologic characteristics of prostate cancer with Paneth cell-like NED. Twenty-five cases from 172 prostatectomies were evaluated for the presence of 18 morphologic features and AURKA amplification. Most prostate cancers with Paneth cell-like NED had macronucleoli (92%), basophilic appearance (88%), perineural invasion (72%), and nuclear stratification (76%). The frequency of AURKA amplification was 45%, present throughout the examined tumor nodule including areas without Paneth cell-like cells. When histologically similar cases with and without AURKA amplification were compared, this gene alteration was associated with larger extent of Paneth cell-like NED identified at magnification ×20 (P = .015), higher percentage of Paneth cell-like NED throughout the tumor nodule (P = .033), ductal features (P = .02), and higher overall Gleason grade (P = .039). AURKA amplification was not associated with age, serum prostate specific antigen, or tumor stage. The high frequency of AURKA amplification (45%) in localized prostate cancer with Paneth cell-like NED and its potential prognostic significance warrant further investigation.

Biobanking of derivatives from radical retropubic and robot-assisted laparoscopic prostatectomy tissues as part of the prostate cancer biorepository network

BACKGROUND

The goal of the Prostate Cancer Biorepository Network (PCBN) is to develop a biorepository with high-quality, well-annotated specimens obtained in a systematic, reproducible fashion using optimized and standardized protocols, and an infrastructure to facilitate the growth of the resource and its wide usage by the prostate cancer research community. An emerging area of concern in the field of prostate cancer biobanking is an apparent shift in the proportion of surgical procedures performed for prostate cancer treatment from radical retropubic prostatectomy (RRP) to robot-assisted laparoscopic prostatectomy (RALP). Our study aimed to determine the potential impact of the RALP procedure on the detection of known prostate cancer biomarkers, and the subsequent suitability of RALP-derived specimens for prostate cancer biomarker studies.

METHODS

DNA and RNA were extracted from RRP and RALP specimens. Quality assessment was conducted using spectrophotometric analysis and RNA was analyzed for RNA integrity number (RIN) and by real-time reverse-transcription PCR (qRT-PCR) for racemase, hepsin, ERG, TMPRSS2-ERG gene fusions, and the microRNAs miR-26a, miR-26b, miR-141, and miR-221.

RESULTS

We demonstrate that extraction of derivatives from frozen tissues from RRP and RALP specimens yields samples of equally high quality as assessed by spectrophotometric and RIN analysis. Likewise, expression levels of genes analyzed by qRT-PCR did not differ between RRP and RALP-derived tissues.

CONCLUSIONS

Our studies indicate that samples obtained from RALP specimens may be suitable for prostate cancer biomarker studies-an important finding given the current shift in surgical procedures for prostate cancer treatment.

[Personalized urooncology based on molecular uropathology: what is the future?]

Targeted therapies and biomarker validation are key drivers in the advancement of personalized oncology which is a growing topic in all clinical areas. Compared with other professions, such as pulmonology and gynecology, development in urology has so far been retarded but has recently gained increasing momentum. A basis for this is the currently growing and in future accelerated application of new knowledge derived from molecular biology in the field of uropathology. The rapid gain of knowledge is driven by a whole new class of analytical methods, such as massively parallel sequencing (deep sequencing or next generation sequencing), which enables analysis of virtually a new universe of potential biomarkers. This article describes the emerging paradigm shift in molecular pathological diagnostics of urological tumors using the example of prostate cancer.

Biopsies: next-generation biospecimens for tailoring therapy

The majority of samples in existing tumour biobanks are surgical specimens of primary tumours. Insights into tumour biology, such as intratumoural heterogeneity, tumour-host crosstalk, and the evolution of the disease during therapy, require biospecimens from the primary tumour and those that reflect the patient's disease in specific contexts. Next-generation 'omics' technologies facilitate deep interrogation of tumours, but the characteristics of the samples can determine the ultimate accuracy of the results. The challenge is to biopsy tumours, in some cases serially over time, ensuring that the samples are representative, viable, and adequate both in quantity and quality for subsequent molecular applications. The collection of next-generation biospecimens, tumours, and blood samples at defined time points during the disease trajectory--either for discovery research or to guide clinical decisions--presents additional challenges and opportunities. From an organizational perspective, it also requires new additions to the multidisciplinary therapeutic team, notably interventional radiologists, molecular pathologists, and bioinformaticians. In this Review, we describe the existing procedures for sample procurement and processing of next-generation biospecimens, and highlight the issues involved in this endeavour, including the ethical, logistical, scientific, informational, and financial challenges accompanying next-generation biobanking.

Biobanking: The Melding of Research with Clinical Care

The number of biobanks around the world has increased dramatically, owing in part, to the need for researchers to have access to large numbers of samples for genomic research. Policies for enrolling participants, returning research results and obtaining samples and data can have a far reaching impact on the type of research that can be performed with each biobank. Research using biobank samples includes studies of the impact of environmental and other risk exposures on health, understanding genetic risks for common disease, identification of biomarkers in disease progression and prognosis, and implementation of personalized medicine projects. This research has been instrumental in the progress of genetic and genomic research and translational medicine. This article will highlight some of the controversies and recent research associated with biobanking over the past year.