Expression and Prognostic Relevance of Annexin A3 in Prostate Cancer

Aniline-induced nitrosative stress in rat spleen: proteomic identification of nitrated proteins

Aniline exposure is associated with toxicity to the spleen which is characterized by splenomegaly, hyperplasia, fibrosis, and a variety of sarcomas on chronic exposure in rats. However, mechanisms by which aniline elicits splenotoxic responses are not well understood. Earlier we have shown that aniline exposure leads to increased nitration of proteins in the spleen. However, nitrated proteins remain to be characterized. Therefore, in the current study using proteomic approaches, we focused on characterizing the nitrated proteins in the spleen of aniline-exposed rats. Aniline exposure led to increased tyrosine nitration of proteins, as determined by 2D Western blotting with anti-3-nitrotyrosine specific antibody, compared to the controls. The analyzed nitrated proteins were found in the molecular weight range of 27.7 to 123.6kDa. A total of 37 nitrated proteins were identified in aniline-treated and control spleens. Among them, 25 were found only in aniline-treated rats, 11 were present in both aniline-treated and control rats, while one was found in controls only. The nitrated proteins identified mainly represent skeletal proteins, chaperones, ferric iron transporter, enzymes, nucleic acids binding protein, and signaling and protein synthesis pathways. Furthermore, aniline exposure led to significantly increased iNOS mRNA and protein expression in the spleen, suggesting its role in increased reactive nitrogen species formation and contribution to increased nitrated proteins. The identified nitrated proteins provide a global map to further investigate alterations in their structural and functional properties, which will lead to a better understanding of the role of protein nitration in aniline-mediated splenic toxicity.

A multiplex model of combining gene-based, protein-based, and metabolite-based with positive and negative markers in urine for the early diagnosis of prostate cancer

BACKGROUND

Multiplex urine-based assay emerged outperforms single biomarker (e.g., prostate-specific antigen, PSA) for predicting prostate cancer (CaP), whereas its combined mode has to be fully optimized. Our aim is to determine whether a strategy of combining gene-based, protein-based, metabolite-based with positive, negative makers in urine could optimize a multiplex model for detecting CaP.

METHODS

Using quantitative PCR, Western blot, and liquid chromatography-mass spectrometry, expression patterns of PCA3, TMPRSS2: ERG, Annexin A3, Sarcosine, and urine PSA were evaluated in urine samples from 86 untreated patients with CaP and 45 patients with no evidence of malignancy. Multivariate logistic regression analysis was used to generate a final model and receiver-operating characteristic (ROC) analysis and special bootstrap software to assess diagnostic performance of tested variables.

RESULTS

The expression patterns of PCA3, TMPRSS2: ERG, Annexin A3, Sarcosine, and a panel including these biomarkers were significant predictors of CaP both in patients with PSA 4-10 ng/ml and in all patients (all P < 0.05). Employing ROC analysis, the area under the curves of the panel in these both cohorts were 0.840 and 0.856, respectively, which outperform that of any single biomarker (PCA3: 0.733 and 0.739; TMPRSS2: ERG: 0.720 and 0.732; Annexin A3: 0.716 and 0.728; Sarcosine: 0.659 and 0.665, respectively).

CONCLUSIONS

Compared with single biomarker, the multiplex model including PCA3, TMPRSS2: ERG, Annexin A3 and Sarcosine adds even more to the diagnostic performance for predicting CaP. Further validation experiments and optimization for the strategy of constructing this model are warranted.

Urine markers and prostate cancer

Prostate cancer (PCa) is globally the most common cancer in men, with an estimated prevalence of more than two million cases. Given the poor success rate in treating advanced PCa, intervention in early stages may reduce the progression of a small, localized carcinoma to a large metastatic lesion, thereby reducing disease-related deaths. Urine is readily available and can be used to detect either exfoliated cancer cells or secreted products. The major advantages of urine-based assays are their noninvasive character and ability to monitor PCa with heterogeneous foci. The aim of this review was to summarize the current evidence regarding performance characteristics of tests proposed for urine-based prostate cancer detection.

Epidermal Growth Factor Receptor (EGFR) mutation analysis, gene expression profiling and EGFR protein expression in primary prostate cancer

BACKGROUND

Activating mutations of the epidermal growth factor receptor (EGFR) confer sensitivity to the tyrosine kinase inhibitors (TKi), gefitinib and erlotinib. We analysed EGFR expression, EGFR mutation status and gene expression profiles of prostate cancer (PC) to supply a rationale for EGFR targeted therapies in this disease.

METHODS

Mutational analysis of EGFR TK domain (exons from 18 to 21) and immunohistochemistry for EGFR were performed on tumour tissues derived from radical prostatectomy from 100 PC patients. Gene expression profiling using oligo-microarrays was also carried out in 51 of the PC samples.

RESULTS

EGFR protein overexpression (EGFRhigh) was found in 36% of the tumour samples, and mutations were found in 13% of samples. Patients with EGFRhigh tumours experienced a significantly increased risk of biochemical relapse (hazard ratio-HR 2.52, p=0.02) compared with patients with tumours expressing low levels of EGFR (EGFRlow). Microarray analysis did not reveal any differences in gene expression between EGFRhigh and EGFRlow tumours. Conversely, in EGFRhigh tumours, we were able to identify a 79 gene signature distinguishing mutated from non-mutated tumours. Additionally, 29 genes were found to be differentially expressed between mutated/EGFRhigh (n=3) and mutated/EGFRlow tumours (n=5). Four of the down-regulated genes, U19/EAF2, ABCC4, KLK3 and ANXA3 and one of the up-regulated genes, FOXC1, are involved in PC progression.

CONCLUSIONS

Based on our findings, we hypothesize that accurate definition of the EGFR status could improve prognostic stratification and we suggest a possible role for EGFR-directed therapies in PC patients. Having been generated in a relatively small sample of patients, our results warrant confirmation in larger series.

2D-difference gel electrophoretic proteomic analysis of a cell culture model of alveolar rhabdomyosarcoma

To evaluate the consequences of expression of the protein encoded by PAX3-FOXO1 (P3F) in the pediatric malignancy alveolar rhabdomyosarcoma (A-RMS), we developed and evaluated a genetically defined in vitro model of A-RMS tumorigenesis. The expression of P3F in cooperation with simian virus 40 (SV40) Large-T (LT) antigen in murine C3H10T1/2 fibroblasts led to robust malignant transformation. Using 2-dimensional-difference gel electrophoresis (2D-DIGE), we compared proteomes from lysates from cells that express P3F + LT versus from cells that express LT alone. Analysis of 2D gel spot patterns by DeCyder image analysis software indicated 93 spots that were different in abundance. Peptide mass fingerprint analysis of the 93 spots by matrix assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis identified 37 nonredundant proteins. 2D-DIGE analysis of cell culture media conditioned by cells transduced by P3F + LT versus by LT alone found 29 spots in the P3F + LT cells leading to the identification of 11 nonredundant proteins. A substantial number of proteins with potential roles in tumorigenesis and myogenesis were detected, most of which have not been identified in previous wide-scale expression studies of RMS experimental models or tumors. We validated the 2D gel image analysis findings by Western blot analysis and immunohistochemistry (IHC). Thus, the 2D-DIGE proteomics methodology described here provided an important discovery approach to the study of RMS biology and complements the findings of previous mRNA expression studies.

From gene to clinic: TMA-based clinical validation of molecular markers in prostate cancer

Current high-throughput screening techniques using DNA arrays have identified hundreds of new candidate biomarkers for diagnosis and risk prediction of prostate cancer. Large-scale analysis of clinical prostate cancer specimens is a key prerequisite for the validation of these genes. We have constructed a tissue microarray from more than 2,500 prostate cancers with full histo-pathological and clinical long-term follow-up data and analyzed expression and gene copy number patterns of 16 different candidate markers for their ability to predict prostate cancer progression and patient prognosis. The best candidates were used to extend established clinical prediction tools (nomograms) that were based on nonmolecular data only, such as prostate-specific antigene (PSA), clinical stage, and histological grading (Gleason grade). Using this approach, we could identify ANXA3 as an independent marker, which was capable of increasing the accuracy of the clinical nomogram, thereby fulfilling the criteria of a novel prognostic prostate cancer marker. This approach of integrating large-scale clinical and molecular variables may provide a new paradigm for the use of molecular profiling to predict the clinical outcome in prostate cancer.

Markers for detection of prostate cancer

Early detection of prostate cancer is problematic, not just because of uncertainly whether a diagnosis will benefit an individual patient, but also as a result of the imprecise and invasive nature of establishing a diagnosis by biopsy. Despite its low sensitivity and specificity for identifying patients harbouring prostate cancer, serum prostate specific antigen (PSA) has become established as the most reliable and widely-used diagnostic marker for this condition. In its wake, many other markers have been described and evaluated. This review focuses on the supporting evidence for the most prominent of these for detection and also for predicting outcome in prostate cancer.

Decreased annexin A3 expression correlates with tumor progression in papillary thyroid cancer

PURPOSE

The aim of this study is to identify the potential tumor markers that function in carcinogenesis and tumor progression, thus providing important diagnostic and prognostic information.

EXPERIMENTAL DESIGN

We performed 2-D gel electrophoresis and MALDI-TOF MS to investigate the differentially expressed proteins in 25 papillary thyroid carcinoma tissues. For validation of candidate proteins and investigation of clinical significance, we performed Western, Northern blot analysis and immunohistochemical staining.

RESULTS

Our proteomic analyses revealed significantly decreased annexin A3 expression in papillary thyroid carcinoma at both the protein and mRNA levels, compared with normal thyroid tissue. ANXA3 immunoreactivity was not significantly correlated with lymph node metastasis, multifocality, capsular invasion or perithyroidal extension in thyroid cancer. However, the tumor subgroup with a lymph node metastasis score of >3 displayed significantly lower ANXA3 expression than did subgroups with negative and ≤3 scores (p=0.001). Moreover, ANXA3 expression was markedly lower in large tumors (>1  cm in diameter) than in microcarcinomas (p=0.001).

CONCLUSION AND CLINICAL RELEVANCE

Decreased expression of ANXA3 in papillary thyroid cancer supports the idea that ANXA3 may be an effective marker of microcarcinoma, and a negative predictor of papillary thyroid cancer progression.

Primary cell cultures from human renal cortex and renal-cell carcinoma evidence a differential expression of two spliced isoforms of Annexin A3

Primary cell cultures from renal cell carcinoma (RCC) and normal renal cortex tissue of 60 patients have been established, with high efficiency (more than 70%) and reproducibility, and extensively characterized. These cultures composed of more than 90% of normal or tumor tubular cells have been instrumental for molecular characterization of Annexin A3 (AnxA3), never extensively studied before in RCC cells although AnxA3 has a prognostic relevance in some cancer and it has been suggested to be involved in the hypoxia-inducible factor-1 pathway. Western blot analysis of 20 matched cortex/RCC culture lysates showed two AnxA3 protein bands of 36 and 33 kDa, and two-dimensional Western blot evidenced several specific protein spots. In RCC cultures the 36-kDa isoform was significantly down-regulated and the 33-kDa isoform up-regulated. Furthermore, the inversion of the quantitative expression pattern of two AnxA3 isoforms in tumor cultures correlate with hypoxia-inducible factor-1alpha expression. The total AnxA3 protein is down-regulated in RCC cultures as confirmed also in tissues by tissue microarray. Two AnxA3 transcripts that differ for alternative splicing of exon III have been also detected. Real-time PCR quantification in 19 matched cortex/RCC cultures confirms the down-regulation of longer isoform in RCC cells. The characteristic expression pattern of AnxA3 in normal and tumor renal cells, documented in our primary cultures, may open new insight in RCC management.

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.

Intra- and interobserver reproducibility of interpretation of immunohistochemical stains of prostate cancer

The evaluation of immunohistochemistry (IHC) is usually semiquantitative, and thus subject to observer variability. We analyzed the reproducibility of different IHC measures. Fifty TMA cores of prostate cancer were stained for PDX-1, a transcription factor overexpressed in the cytoplasm of prostate cancer cells. The strongest intensity was scored 0-3 and 1-3 was used for extent (1-33%, 34-66%, and 67-100%). The stains were evaluated twice by four observers: two genitourinary pathologists, and two medical doctors with no formal pathology training. Staining intensity was also measured with automated image analysis. The pathologists read the slides faster than nonpathologists (total time 88 and 178 min, respectively, p = 0.03). Mean weighted kappa for intraobserver agreement was 0.85 (range 0.81-0.89) for intensity and 0.43 (range 0.38-0.51) for extent with similar results among pathologists and nonpathologists. Mean weighted kappa for interobserver agreement was 0.80 (range 0.77-0.84) for intensity and 0.21 (range 0.11-0.26) for extent. The subjective estimations of intensity correlated with results of image analysis (r = 0.61-0.66, p < 0.001), but the correlation between observers was stronger (r = 0.75-0.81) and correlated better with Gleason grade. Thus, subjective assessment of intensity can be done with a high level of reproducibility while estimation of staining extent is less reliable. Although educated pathologists were faster, the level of pathology training is not crucial for obtaining reproducible results in the analysis of TMA-based studies.

Urinary protein biomarkers of cancer

BACKGROUND

Although several cancer biomarkers are now in use, few have the necessary sensitivity and specificity to eliminate the need for invasive diagnostic procedures. With the expansion of proteomics, new technologies have been used to study various cancers, resulting in the discovery of several potential urine biomarkers. Urine is an ideal medium for the detection of biomarkers because of the non-invasive means of collecting samples and demonstrated shedding of cells, proteins, enzymes, nucleic acids and metabolic products into urine during various pathological processes.

OBJECTIVE

To review the contemporary literature regarding urinary protein markers of cancer.

METHODS

A PubMed search for 'urinary protein biomarkers of cancer' revealed 4679 scientific publications. The search was limited to studies published over the last 5 years and reviewed pertinent findings regarding biomarker evaluation and discovery.

RESULTS

Several urinary protein biomarkers have been described for urologic, gynecologic, gastrointestinal and neurologic tumors. Some have been selected for use in clinical practice, whereas others have been abandoned owing to inconclusive follow-up studies.

CONCLUSION

Several potential urinary protein markers for cancer exist, yet multi-institutional, prospective trials are needed to validate results before implementation in clinical scenarios.

Combined analysis of transcriptome and proteome data as a tool for the identification of candidate biomarkers in renal cell carcinoma

Results obtained from expression profilings of renal cell carcinoma using different "ome"-based approaches and comprehensive data analysis demonstrated that proteome-based technologies and cDNA microarray analyses complement each other during the discovery phase for disease-related candidate biomarkers. The integration of the respective data revealed the uniqueness and complementarities of the different technologies. While comparative cDNA microarray analyses though restricted to up-regulated targets largely revealed genes involved in controlling gene/protein expression (19%) and signal transduction processes (13%), proteomics/PROTEOMEX-defined candidate biomarkers include enzymes of the cellular metabolism (36%), transport proteins (12%), and cell motility/structural molecules (10%). Candidate biomarkers defined by proteomics and PROTEOMEX are frequently shared, whereas the sharing rate between cDNA microarray and proteome-based profilings is limited. Putative candidate biomarkers provide insights into their cellular (dys)function and their diagnostic/prognostic value but still warrant further validation in larger patient numbers. Based on the fact that merely three candidate biomarkers were shared by all applied technologies, namely annexin A4, tubulin alpha-1A chain, and ubiquitin carboxyl-terminal hydrolase L1, the analysis at a single hierarchical level of biological regulation seems to provide only limited results thus emphasizing the importance and benefit of performing rather combinatorial screenings which can complement the standard clinical predictors.

[Identification and validation of clinically relevant molecular alterations in prostate cancer]

Significant cellular alterations required for the development and progression of cancers are detectable at the molecular level and represent potential targets for gene-specific therapies. Modern chip techniques allow the parallel analysis of virtually all known human genes and proteins in a single experiment. Using modern high-throughput techniques, numerous potential new biomarkers for the diagnosis and prediction of prostate cancer have been identified. However, so far none of these markers has improved clinical practice. One of the most important challenges in the coming years is the extensive clinical validation of molecular data using clinically relevant end points. For this venture the pivotal prerequisite is the availability of large, comprehensively annotated and standardized high-quality bioresources.

Protein expression profiling in esophageal adenocarcinoma patients indicates association of heat-shock protein 27 expression and chemotherapy response

PURPOSE

To identify pretherapeutic predictive biomarkers in tumor biopsies of patients with locally advanced esophageal adenocarcinomas treated with neoadjuvant chemotherapy, we used an explorative proteomic approach to correlate pretherapeutic protein expression profiles with tumor response to neoadjuvant chemotherapy.

EXPERIMENTAL DESIGN

Thirty-four patients with locally advanced esophageal adenocarcinomas who received neoadjuvant platin/5-fluorouracil-based chemotherapy before surgical resection were enrolled in this study. Response to chemotherapy was determined (a) by the amount of decline of [18F]fluorodeoxyglucose tumor uptake 2 weeks after the start of chemotherapy measured by positron emission tomography and (b) by histopathologic evaluation of tumor regression after surgical resection. Explorative quantitative and qualitative protein expression analysis was done through a quantitative differential protein expression analysis that used dual-isotope radioactive labeling of protein extracts. Selected identified biomarkers were validated by immunohistochemistry and quantitative real time reverse transcription-PCR.

RESULTS

Proteomic analysis revealed four cellular stress response-associated proteins [heat-shock protein (HSP) 27, HSP60, glucose-regulated protein (GRP) 94, GRP78] and a number of cytoskeletal proteins whose pretherapeutic abundance was significantly different (P < 0.001) between responders and nonresponders. Immunohistochemistry and gene expression analysis confirmed these data, showing a significant association between low HSP27 expression and nonresponse to neoadjuvant chemotherapy (P = 0.049 and P = 0.032, respectively).

CONCLUSIONS

Albeit preliminary, our encouraging data suggest that protein expression profiling may distinguish cancers with a different response to chemotherapy. Our results suggest that response to chemotherapy may be related to a different activation of stress response and inflammatory biology in general. Moreover, the potential of HSPs and GRPs as biomarkers of chemotherapy response warrants further validation.

[Identification and validation of clinically relevant molecular alterations in prostate cancer]

Significant cellular alterations required for the development and progression of cancers are detectable at the molecular level and represent potential targets for gene-specific therapies. Modern chip techniques allow the parallel analysis of virtually all known human genes and proteins in a single experiment. Using modern high-throughput techniques, numerous potential new biomarkers for the diagnosis and prediction of prostate cancer have been identified. However, so far none of these markers has improved clinical practice. One of the most important challenges in the coming years is the extensive clinical validation of molecular data using clinically relevant end points. For this venture the pivotal prerequisite is the availability of large, comprehensively annotated and standardized high-quality bioresources.

Annexin A3 in urine: a highly specific noninvasive marker for prostate cancer early detection

PURPOSE

In prostate cancer cases the early diagnosis of tumors carrying a high risk of progression is of the utmost importance. There is an urgent clinical need to avoid unnecessary biopsies and subsequent overtreatment. We validated annexin A3 as a diagnostic marker for prostatic disease in typical clinical populations and relevant segments, such as patients with a negative digital rectal examination and low prostate specific antigen.

MATERIALS AND METHODS

We performed a blinded clinical study (ClinicalTrials.gov Identifier NCT00400894) from September 2005 to January 2007 in 591 patients who were continuously recruited from 4 European urological clinics. Urine was obtained directly after digital rectal examination and the annexin A3 concentration in urine was quantified by Western blot. Statistical analysis included combinations of annexin A3 with total, percent free, complexed and percent complexed prostate specific antigen.

RESULTS

Combined readouts of prostate specific antigen and urinary annexin A3 were superior to all others with an area under the ROC curve of 0.82 for a total prostate specific antigen range of 2 to 6 ng/ml, 0.83 for a total prostate specific antigen range of 4 to 10 ng/ml and 0.81 in all patients. The best performing prostate specific antigen derivative was percent free prostate specific antigen with an area under the ROC curve of 0.68 for a total prostate specific antigen range of 2 to 6 ng/ml, 0.72 for a total prostate specific antigen range of 4 to 10 ng/ml and 0.73 in all patients. Annexin A3 has an inverse relationship to cancer and, therefore, its specificity was much better than that of prostate specific antigen.

CONCLUSIONS

Annexin A3 quantification in urine provides a novel noninvasive biomarker with high specificity. Annexin A3 is complementary to prostate specific antigen or to any other cancer marker. It has a huge potential to avoid unnecessary biopsies with a particular strength in the clinically relevant large group of patients who have a negative digital rectal examination and prostate specific antigen in the lower range of values (2 to 10 ng/ml).

The role of annexins in tumour development and progression

The annexins are a super-family of closely related calcium and membrane-binding proteins. They have a diverse range of cellular functions that include vesicle trafficking, cell division, apoptosis, calcium signalling and growth regulation. Many studies have shown the annexins to be among the genes whose expression are consistently differentially altered in neoplasia. Some annexins show increased expression in specific types of tumours, while others show loss of expression. Mechanistic studies relating the changes in annexin expression to tumour cell function, particularly tumour invasion and metastasis, angiogenesis and drug resistance, are now also emerging. Changes in the expression of individual annexins are associated with particular types of tumour and hence the annexins may also be useful biomarkers in the clinic.

[Stem cell-based in vitro models as alternative methods for toxicity and efficacy tests in animals]

Regarding toxicity and efficacy tests of pharmacological and chemical substances (REACH legislation in Europe), there is a strong need to develop alternative methods for animal in vivo studies, in particular for human in vitro models. Here we present results from early phases of projects exploring the potential of embryonic stem cell models, with a special emphasis on embryo toxicity and neuronal stress.We have been able to demonstrate key functional read-outs of neural hESC models, in addition to representing mechanistic aspects which are characteristic for ischemia or excitotoxicity. There is agreement that these mechanisms underlie a variety of human neurodegenerative diseases. We discuss the possibilities to develop more precise endpoints on the molecular level and present an example of a protein biomarker signature emerging from a European FP6 project about embryo toxicity (www.reprotect.eu), employing murine and human embryonic stem cell models.