A novel multiplex assay combining autoantibodies plus PSA has potential implications for classification of prostate cancer from non-malignant cases
© Xie et al; licensee BioMed Central Ltd. 2011
Received: 9 February 2011
Accepted: 19 April 2011
Published: 19 April 2011
The lack of sufficient specificity and sensitivity among conventional cancer biomarkers, such as prostate specific antigen (PSA) for prostate cancer has been widely recognized after several decades of clinical implications. Autoantibodies (autoAb) among others are being extensively investigated as potential substitute markers, but remain elusive. One major obstacle is the lack of a sensitive and multiplex approach for quantifying autoAb against a large panel of clinically relevant tumor-associated antigens (TAA).
To circumvent preparation of phage lysates and purification of recombinant proteins, we identified B cell epitopes from a number of previously defined prostate cancer-associated antigens (PCAA). Peptide epitopes from cancer/testis antigen NY-ESO-1, XAGE-1b, SSX-2,4, as well as prostate cancer overexpressed antigen AMACR, p90 autoantigen, and LEDGF were then conjugated with seroMAP microspheres to allow multiplex measurement of autoAb present in serum samples. Moreover, simultaneous quantification of autoAb plus total PSA was achieved in one reaction, and termed the "A+PSA" assay.
Peptide epitopes from the above 6 PCAA were identified and confirmed that autoAb against these peptide epitopes reacted specifically with the full-length protein. A pilot study was conducted with the A+PSA assay using pre-surgery sera from 131 biopsy-confirmed prostate cancer patients and 121 benign prostatic hyperplasia and/or prostatitis patients. A logistic regression-based A+PSA index was found to enhance sensitivities and specificities over PSA alone in distinguishing prostate cancer from nonmalignant cases. The A+PSA index also reduced false positive rate and improved the area under a receiver operating characteristic curve.
The A+PSA assay represents a novel platform that integrates autoAb signatures with a conventional cancer biomarker, which may aid in the diagnosis and prognosis of prostate cancer and others.
Both the cellular and humoral arms of the human immune system recognize tumor-associated antigens (TAA) derived from endogenously arising cancer cells. Of particular interest to the serological analysis of human cancers is a panel of clinically relevant TAA recognized by autoAb present in the serum of cancer patients including those with prostate cancers [1, 2]. In prostate cancer, autoAb-recognized prostate cancer-associated antigens (PCAA) may be divided into two categories: 1) autoAb recognize α-methylacyl-CoA (AMACR) [3, 4], p90 autoantigen , and lens epithelium-derived growth factor p75 (LEDGF) , which have low levels of expression in normal tissues, but are overexpressed in prostate cancer; 2) autoAb react against cancer/testis antigens such as NY-ESO-1 , SSX-2,4 , and XAGE-1b , which are observed only in cancer patients but not healthy donors (HD) or patients with benign conditions. Cancer/testis antigens are by far the most cancer-specific TAA, which are shared by a number of solid tumors including prostate cancer, lung cancer, and so on. In normal tissues, they are only expressed in immune-privileged germline cells. In this study, we focused on a panel of clinically relevant PCAA, whose expression in prostate cancer tissues and autoAb presence in serum samples have been verified by multiple groups. AutoAb against these targets are also observed prominently in prostate cancer patients than healthy donors.
In contrast to conventional biomarkers produced by tumor cells such as PSA, autoAb against clinically relevant TAA are produced by the body in response to neoplastic transformation. Spontaneous autoAb present in patients' serum samples may reflect cancer-related inflammation, immunocompetence of the host, and immunogenicity of the endogenously arising cancer [10, 11]. Even though more and more studies have shown the significance of circulating autoAb in serving cancer detection, diagnosis, prognosis, and other areas [12–14], sensitive and cost-effective detection of autoAb against multiple TAA still lacks that may serve for clinical laboratories.
Currently, two main strategies are used for broad-based profiling of circulating autoAb: serological surveys using phage lysates encoding specific TAA , protein array and ELISA-based approaches using purified recombinant proteins [15–17]. The former approach requires large amounts of sera individually pre-adsorbed with E. coli phage lysates for reduction of background; the latter require the purification of proteins encoding individual TAA. To circumvent the requirement of purifying phage lysates or individual TAA protein, we have focused on targeted identification of B cell epitopes from TAA , and developed a novel multiplex assay platform that quantifies autoAb plus total PSA in a single reaction for prostate cancer.
Prediction, screening and validation of B-cell epitopes from PCAA
The study focused on 6 PCAA, namely NY-ESO-1, SSX-2,4, XAGE-1b, AMACR, p90, and LEDGF. All had been reported by multiple groups with data on gene expression and autoAb presence in prostate cancer patients. As previously described , prediction and screening of peptide epitopes was conducted using classic ELISA. Peptides were considered positive based on recognition by serum samples from prostate cancer patients (n > 50) but not healthy donors (n > 20). Then, peptide-reacting serum samples were verified for recognition of the full-length or a truncated recombinant protein using Western blot. Only after such a procedure, a validated peptide was conjugated onto seroMAP microbeads for multiplex measurement. All peptides involved in this study were synthesized at Genscript Inc. (Piscataway, NJ) and GeneMedicine, Inc. (San Antonio, TX). Historical serum samples from cancer and HD as described previously  were used for identification of peptide epitopes, which were independent of those used in the subsequent study comparing A+PSA index with PSA. In the case of identifying peptide epitopes from shared cancer/testis antigen XAGE-1b and SSX2,4, serum samples from NSCLC were used. This choice was made based on higher frequency of seropositive subjects in NSCLC and the fact that peptides from shared antigens identified using one type of cancer patients can be equally well recognized by prostate cancer patients .
Clinical and demographic characteristics of serum donors involved in the study
Demographic and clinical characteristics of patients involved in the study
n = 124
n = 121
n = 131
< and = 6
> and = 8
Since this was a pilot study, cohort size and relevant parameters such as age, racial and ethnical background were not sufficient to match samples according to potential clinical co-founders. However, all samples themselves were handled and stored according to the same conditions prior to assay; and normalization with samples from HD was conducted when needed in order to minimize experiment-to-experiment variations.
Conjugation of peptide epitopes with seroMAP mircrobeads and conduct of seroMAP-based assays
Conjugation of peptide epitopes defined in this study onto seroMAP beads was conducted according to the manufacturer's recommendations (Luminex Corporation, Austin, TX). In the final configuration of the A+PSA assay, seroMAP microbeads region 001 were conjugated with the NY-ESO-1 peptide epitope as previously reported , region 010 with the XAGE-1b epitope (amino acid 1-25), region 020 with the SSX2,4 epitope (amino acid 110-139), region 030 with the AMACR epitope (amino acid 251-281), region 040 with the p90 autoantigen epitope (amino acid 796-827), region 050 with a control peptide from β-galactosidase, and region 060 with the LEDGF epitope (amino acid 448-468). A 96-well filter bottom plate (Millipore, Billerica, MA) was pre-washed followed by addition of blocking buffer and incubation for 1 hour at room temperature. About 50 μl of serum samples pre-diluted at 1 to 10, 1 to 20, and 1 to 50 were mixed with an equal volume of the above-conjugated seroMAP microbeads at 5000 beads/region, and were added to each well. After one hour of incubation, plates were washed 3 times, followed by addition of 100 μl PE-labeled detection Ab (Ab against human IgG and Ab against human total PSA) to each well. After 30 min, plates were washed 3 times, and added 100 μl blocking buffer into each well. The plate was read by Bioplex-200 (Bio-Rad Laboratories, Hercules, CA) to obtain the mean florescent intensity (MFI) for each seroMAP region.
In addition to measuring autoAb, seroMAP microbeads region 100 were conjugated with a monoclonal Ab against human PSA (Biocon, Inc. Rockville, MD) to quantify total PSA levels. seroMAP-based PSA quantification was compared with standard ELISA-based PSA assays (American Qualex) and also made compatible with the measurement of the above-mentioned 6 autoAb to constitute the A+PSA assay.
Comparison of signal to noise ratios of seroMAP- and ELISA-based approaches for autoAb measurement
AutoAb present in patients' serum samples were previously measured using a standardized ELISA approach . In brief, 1 μg of a synthetic peptide was diluted in 5 ml phosphate buffered saline (PBS) and adsorbed onto a 96-well MaxiSorp plate (Nunc, Denmark) overnight at room temperature. Control plates were coated with bovine serum albumin (BSA) at 15 μg/plate or about 150 ng/well. Plates were blocked with 5% Fetal Bovine Serum in PBST (PBS plus 0.05% Tween-20) for at least 2 hours, washed with PBST, and loaded with 100 μl of serum samples diluted at 1:25, 1:125, and 1:625 with PBST containing 5% Fetal Bovine Serum. After a 2-hour incubation at room temperature, plates were washed, and loaded with secondary antibodies (goat anti-human immunoglobulin conjugated with horseradish peroxidase, Sigma Co., St. Louis, MO) diluted with 5% Fetal Bovine Serum in PBST. Plates were developed after a one-hour incubation, and absorbance at 450 nm was read by using an ELISA reader. Signal to noise ratio for ELISA-based approaches was defined as the OD against a target epitope/average OD from at least 8 HD. Signal to noise ratio for seroMAP-based approaches was defined as the specific MFI ratio against a target peptide/average specific MFI ratio against the same peptide from at least 8 HD, where the specific MFI ratio is defined as the MFI against a PCAA peptide/MFI against a control peptide.
Statistical analysis and the logistic regression-based A+PSA index
where each Ni represented the average MFI values for an autoAb from three dilutions, N PSA was the average MFI for PSA from three dilutions, and a0,...a7 were estimated regression coefficients of the logistic regression model. In the logistic regression model, the binary dependent variable is 1 for a patient with prostate cancer and 0 for a patient with nonmalignant conditions, for example, BPH and/or prostatitis. The receiver operating characteristic (ROC) curve was used to compare the diagnostic power between PSA alone and the combined A+PSA index for distinguishing prostate cancer from BPH and prostatitis in all subjects and subjects with 4-10 ng/ml PSA. Area Under the Curve (AUC) from Receiver operating characteristic (ROC) analysis was calculated from the logistic regression model. To avoid a potential overfitting issue in modeling and the testing within the same data set, the bootstrap method  was applied to construct 95% confidence intervals for the AUCs and test their difference. Values of P < 0.05 were considered statistically significant.
Identification and validation of B cell epitopes from PCAA
Similarly, a SSX-2,4 peptide epitope was identified and confirmed with Western blot that the serum reacting with SSX-2,4:110-139 was able to recognize the full-length recombinant protein (Additional file 2). In addition, candidate peptides from AMACR, p90 autoantigen, and LEDGF were screened using serum samples from prostate cancer patients and control samples from HD (data not shown). Verification of the AMACR and LEDGF peptide epitopes by Western blot is also shown in Additional file 2.
Peptide epitopes linked to seroMAP microspheres markedly improves signal-to-noise ratios over classic ELISA
The multiplex A+PSA assay quantifies autoAb and total PSA in one reaction
To develop a multiplex assay that measures total PSA and autoAb in a single reaction, conventional PSA tests were first converted from ELISA to seroMAP-based approaches. PE-conjugated secondary Ab against human IgG and PSA were mixed in the multiplex assay to accommodate staining of autoAb and PSA binding to distinct seroMAP regions, allowing simultaneous quantification of autoAb plus PSA in one reaction (termed the A+PSA assay).
To ensure that the multiplex A+PSA assay did not interfere with the quantification of individual autoAb, autoAb against the prototype NY-ESO-1:1-40 epitope using the multiplex A+PSA assay were compared with those measured using seroMAP-based singular assays. It was found that autoAb against NY-ESO-1:1-40 measured by these two assays correlated markedly well among 40 randomly selected subjects (correlation coefficient was 0.98, Figure 2B). Similarly, purified PSA standards (n = 4) determined by the seroMAP-based A+PSA assay produced a trendline with a correlation coefficient of 0.98 with that obtained from a commercial ELISA kit (data not shown). For clinical samples, the correlation coefficient of PSA values obtained by ELISA (Figure 2C, x-axis) and the seroMAP-based A+PSA multiplex assay (y-axis) was 0.89 over a wide dynamic range from 0.1 to 60 ng/ml in 376 randomly selected subjects. Thus, the A+PSA assay format did not appear to produce interference by quantifying autoAb and PSA simultaneously in one reaction. In other words, the A+PSA assay is as specific as measuring individual autoAb and total PSA separately while providing the simplicity and cost-effectiveness of a multiplex assay that requires less sample and handling time of quantifying 6 or more autoAb and PSA simultaneously.
The novel A+PSA index provides superior sensitivities and specificities over PSA alone in differentiating prostate cancer from non-malignant cases
Comparison of A+PSA index and PSA based on mean values at 3 different dilutions
PSA alone in all patients
A+PSA in all patients
0.91 P < 0.0001
To improve PSA tests, a number of approaches have been investigated in the past, including isoforms of PSA such as free PSA and proPSA , new cancer biomarkers such as PCA3 , as well as combinatory assays measuring PSA and other parameters such as AMACR [24, 25]. In this study, a novel assay platform was established that combines the quantification of autoAb against 6 TAA with a conventional biomarker, PSA in one reaction under the seroMAP platform. Even though the presence of autoAb against PSA reported in some patients  could in theory confound the quantification of PSA under the A+PSA assay platform, no significant discrepancy was observed among the more than 300 subjects. This assay platform employed B cell epitopes from previously defined PCAA and avoided peptides from out-of-frame and noncoding sequences, which have been observed in a large-scale autoAb signature study . While the NY-ESO-1:1-40 peptide epitope has been validated by various investigators, the rest of the peptide epitopes panel is first reported in this study. Extensive validation is still necessary before moving forward into clinical trials. Serum samples from prostate cancer patients were collected at the time of diagnosis or surgery and thus included those with a wide range of Gleason scores. Since this pilot study was focused on developing a novel A+PSA platform and comparing A+PSA with the PSA assay, cohort size was not sufficient to match samples according to potential clinical co-founders. However, all samples themselves were handled and stored according to the same conditions prior to assay in order to minimize experiment-to-experiment variations.
It was predicted that peptide-based methods might lose conformational epitopes that could have been detected using full-length proteins. However, autoAb against NY-ESO-1 were detected in 7 of 131 or about 5% prostate cancer patients by seroMAP microspheres conjugated with a single peptide, higher than the reported frequency of 3.3% (3 out of 92) against the same peptide epitope using ELISA or 4.3% (4 out of 92) against the full-length NY-ESO-1 protein using ELISA in a previous study . This result suggested that sero-MAP-based A+PSA assay against dominant peptide epitopes might compensate losses of conformational epitopes, and cover specific patient populations otherwise overlooked using ELISA methods coated with full-length proteins. Considering that sero-MAP based A+PSA assay is performed entirely in liquid phase with enhanced kinetics over surface-bound ELISA, we will investigate whether compensation for conformational epitopes by A+PSA assay also occurs for other PCAA. Furthermore, the multiplex A+PSA assay requires less than 20 μl serum samples for three different dilutions altogether, much fewer handling steps to be completed within two and half hours, making it user-friendly to clinical laboratories.
In order to deliver a fully functional A+PSA assay to clinical laboratories, we plan to cross-validate with larger and broader patient cohorts including sex, age, and racial/ethnic background matched HD and non-cancer controls. In this pilot study, the A+PSA index also reduced the false positive rate of PSA tests, which suggested its potential implications in aiding in prostate cancer diagnosis. Thus, patients with lung cancer and colon cancer, two common cancers for elder men will also be included in the cross-validation in order to enhance the prostate cancer specificity of the assay. Once an optimized A+PSA assay has been developed, prospective studies comparing A+PSA with PSA alone as well as emerging genotype-based tests such as urine PCA3/PSA mRNA ratio detection and TMPRSS2-ERG fusion gene , will be conducted. Other areas of potential implication such as differentiating lethal from indolent prostate cancer will also be investigated in the future. The versatile nature of the multiplex A+PSA assay allows the addition and deletion of specific peptide epitopes to the panel in order to define correlations with the intended clinical implications.
The A+PSA assay represents the first multiplex assay that integrates autoAb signatures with a conventional cancer biomarker PSA in a single reaction. Designed to be user-friendly to clinical laboratories, the A+PSA assay has the potential to aid in the diagnosis and prognosis of prostate cancer.
List of Abbreviations
prostate specific antigen
non-small cell lung cancer
autoantibody plus PSA
benign prostatic hyperplasia
prostate cancer-associated antigen
mean fluorescent intensity
receiver operating characteristic.
Acknowledgements and Funding
This research was supported in part by a grant from the Prevent Cancer Foundation, by NIHR03CA128086 and NIHR21CA137651 grants, and an NCI Early Detection Research Network associate membership to GZ. CX is supported in part by the China Scholarship Council. We thank Jun-ying Zheng and UCLA college students who took the MED99/MED199 courses, Michael Mangubat, Munira Rahman, Duminda Suraweera, Christina Wu, Junyi Xie, and Albert Yang for their contributions. Dr. Eiichi Nakayama (Okayama University, Japan) provided XAGE-1b recombinant protein for this study.
- Sahin U, Tureci O, Pfreundschuh M: Serological identification of human tumor antigens. Curr Opin Immunol. 1997, 9: 709-716. 10.1016/S0952-7915(97)80053-2.View ArticlePubMed
- Finn OJ: Immune response as a biomarker for cancer detection and a lot more. N Engl J Med. 2005, 353: 1288-1290. 10.1056/NEJMe058157.View ArticlePubMed
- Jiang Z, Fanger GR, Woda BA, Banner BF, Algate P, Dresser K, Xu J, Chu PG: Expression of alpha-methylacyl-CoA racemase (P504s) in various malignant neoplasms and normal tissues: astudy of 761 cases. Hum Pathol. 2003, 34: 792-796. 10.1016/S0046-8177(03)00268-5.View ArticlePubMed
- Wang X, Yu J, Sreekumar A, Varambally S, Shen R, Giacherio D, Mehra R, Montie JE, Pienta KJ, Sanda MG: Autoantibody signatures in prostate cancer. N Engl J Med. 2005, 353: 1224-1235. 10.1056/NEJMoa051931.View ArticlePubMed
- Shi FD, Zhang JY, Liu D, Rearden A, Elliot M, Nachtsheim D, Daniels T, Casiano CA, Heeb MJ, Chan EK, Tan EM: Preferential humoral immune response in prostate cancer to cellular proteins p90 and p62 in a panel of tumor-associated antigens. Prostate. 2005, 63: 252-258. 10.1002/pros.20181.View ArticlePubMed
- Daniels T, Zhang J, Gutierrez I, Elliot ML, Yamada B, Heeb MJ, Sheets SM, Wu X, Casiano CA: Antinuclear autoantibodies in prostate cancer: immunity to LEDGF/p75, a survival protein highly expressed in prostate tumors and cleaved during apoptosis. Prostate. 2005, 62: 14-26. 10.1002/pros.20112.View ArticlePubMed
- Stockert E, Jager E, Chen YT, Scanlan MJ, Gout I, Karbach J, Arand M, Knuth A, Old LJ: A survey of the humoral immune response of cancer patients to a panel of human tumor antigens. J Exp Med. 1998, 187: 1349-1354. 10.1084/jem.187.8.1349.PubMed CentralView ArticlePubMed
- Scanlan MJ, Altorki NK, Gure AO, Williamson B, Jungbluth A, Chen YT, Old LJ: Expression of cancer-testis antigens in lung cancer: definition of bromodomain testis-specific gene (BRDT) as a new CT gene, CT9. Cancer Lett. 2000, 150: 155-164. 10.1016/S0304-3835(99)00385-7.View ArticlePubMed
- Egland KA, Kumar V, Duray P, Pastan I: Characterization of overlapping XAGE-1 transcripts encoding a cancer testis antigen expressed in lung, breast, and other types of cancers. Mol Cancer Ther. 2002, 1: 441-450.PubMed
- Johansson M, Denardo DG, Coussens LM: Polarized immune responses differentially regulate cancer development. Immunol Rev. 2008, 222: 145-154. 10.1111/j.1600-065X.2008.00600.x.PubMed CentralView ArticlePubMed
- Dunn GP, Old LJ, Schreiber RD: The Immunobiology of Cancer Immunosurveillance and Immunoediting. Immunity. 2004, 21: 137-148. 10.1016/j.immuni.2004.07.017.View ArticlePubMed
- Bouwhuis MG, Suciu S, Collette S, Aamdal S, Kruit WH, Bastholt L, Stierner U, Sales F, Patel P, Punt CJ, Hernberg M, Spatz A, ten Hagen TL, Hansson J, Eggermont AM: Autoimmune antibodies and recurrence-free interval in melanoma patients treated with adjuvant interferon. J Natl Cancer Inst. 2009, 101: 869-877. 10.1093/jnci/djp132.View ArticlePubMed
- Sittler T, Zhou J, Park J, Yuen NK, Sarantopoulos S, Mollick J, Salgia R, Giobbie-Hurder A, Dranoff G, Hodi FS: Concerted potent humoral immune responses to autoantigens are associated with tumor destruction and favorable clinical outcomes without autoimmunity. Clin Cancer Res. 2008, 14: 3896-3905. 10.1158/1078-0432.CCR-07-4782.View ArticlePubMed
- Sabater L, Titulaer M, Saiz A, Verschuuren J, Gure AO, Graus F: SOX1 antibodies are markers of paraneoplastic Lambert-Eaton myasthenic syndrome. Neurology. 2008, 70: 924-928. 10.1212/01.wnl.0000281663.81079.24.View ArticlePubMed
- Zhang J-Y, Casiano CA, Peng X-X, Koziol JA, Chan EKL, Tan EM: Enhancement of Antibody Detection in Cancer Using Panel of Recombinant Tumor-associated Antigens. Cancer Epidemiol Biomarkers Prev. 2003, 12: 136-143.PubMed
- Stone B, Schummer M, Paley PJ, Thompson L, Stewart J, Ford M, Crawford M, Urban N, O'Briant K, Nelson BH: Serologic analysis of ovarian tumor antigens reveals a bias toward antigens encoded on 17q. Int J Cancer. 2003, 104: 73-84. 10.1002/ijc.10900.View ArticlePubMed
- Lagarkova MA, Koroleva EP, Kuprash DV, Boitchenko VE, Kashkarova UA, Nedospasov SA, Shebzukhov YV: Evaluation of humoral response to tumor antigens using recombinant expression-based serological mini-arrays (SMARTA). Immunol Lett. 2003, 85: 71-74. 10.1016/S0165-2478(02)00209-2.View ArticlePubMed
- Zeng G, Aldridge ME, Wang Y, Pantuck AJ, Wang AY, Liu YX, Han Y, Yuan YH, Robbins PF, Dubinett SM, de Kernion JB, Belldegrun AS: Dominant B cell epitope from NY-ESO-1 recognized by sera from a wide spectrum of cancer patients: implications as a potential biomarker. Int J Cancer. 2005, 114: 268-273. 10.1002/ijc.20716.View ArticlePubMed
- Liu H, Li G, Cumberland WG, Wu T: Testing Statistical Significance of the Area under a Receiving Operating Characteristics Curve for Repeated Measures Design with Bootstrapping. Journal of Data Science. 2005, 3: 22-
- Dubovsky JA, McNeel DG: Inducible expression of a prostate cancer-testis antigen, SSX-2, following treatment with a DNA methylation inhibitor. Prostate. 2007, 67: 1781-1790. 10.1002/pros.20665.View ArticlePubMed
- Koizumi F, Noguchi Y, Saika T, Nakagawa K, Sato S, Eldib AM, Nasu Y, Kumon H, Nakayama E: XAGE-1 mRNA expression in prostate cancer and antibody response in patients. Microbiol Immunol. 2005, 49: 471-476.View ArticlePubMed
- Sokoll LJ, Sanda MG, Feng Z, Kagan J, Mizrahi IA, Broyles DL, Partin AW, Srivastava S, Thompson IM, Wei JT, Zhang Z, Chan DW: A prospective, multicenter, National Cancer Institute Early Detection Research Network study of [-2]proPSA: improving prostate cancer detection and correlating with cancer aggressiveness. Cancer Epidemiol Biomarkers Prev. 2010, 19: 1193-1200. 10.1158/1055-9965.EPI-10-0007.PubMed CentralView ArticlePubMed
- Laxman B, Morris DS, Yu J, Siddiqui J, Cao J, Mehra R, Lonigro RJ, Tsodikov A, Wei JT, Tomlins SA, Chinnaiyan AM: A first-generation multiplex biomarker analysis of urine for the early detection of prostate cancer. Cancer Res. 2008, 68: 645-649. 10.1158/0008-5472.CAN-07-3224.PubMed CentralView ArticlePubMed
- Zehentner BK, Secrist H, Zhang X, Hayes DC, Ostenson R, Goodman G, Xu J, Kiviat M, Kiviat N, Persing DH, Houghton RL: Detection of alpha-methylacyl-coenzyme-A racemase transcripts in blood and urine samples of prostate cancer patients. Mol Diagn Ther. 2006, 10: 397-403.View ArticlePubMed
- Prior C, Guillen-Grima F, Robles JE, Rosell D, Fernandez-Montero JM, Agirre X, Catena R, Calvo A: Use of a combination of biomarkers in serum and urine to improve detection of prostate cancer. World J Urol. 2010, 28: 681-686. 10.1007/s00345-010-0583-x.View ArticlePubMed
- Zisman A, Zisman E, Lindner A, Velikanov S, Siegel YI, Mozes E: Autoantibodies to prostate specific antigen in patients with benign prostatic hyperplasia. J Urol. 1995, 154: 1052-1055. 10.1016/S0022-5347(01)66974-X.View ArticlePubMed
- Marks LS, Bostwick DG: Prostate Cancer Specificity of PCA3 Gene Testing: Examples from Clinical Practice. Rev Urol. 2008, 10: 175-181.PubMed CentralPubMed
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