The use of PSA as biomarker in nutritional intervention studies of prostate cancer

Epidemiological evidence suggests that environmental factors, such as diet, play a role in the development and progression of prostate cancer (PC). The number of potential protective dietary compounds or whole dietary products that are indicated to have preventive effects is piling up and demands further evaluation. The number of options urges for a reliable high-throughput screening system. To face this growing field, we suggest a strategy that combines prostate-specific antigen (PSA)-based clinical trials with experimental human xenograft studies to evaluate potential chemopreventive agents for PC. This review describes the first results that have come available using this method. In Rotterdam, two nutrition-based tertiary chemoprevention trials were conducted in patients aiming to delay progression of minimal PC. In these studies two different supplements were used both consisting of a (different) mixture of components reported to be related to cancer prevention. PC patients that were locally treated but had rising levels of circulating PSA of unknown origin were randomised into a double-blind, placebo-controlled study with a crossover design. PSA kinetics was followed during the two intervention periods. The time frame of the study design was 6 months. Results of these intervention studies showed increased PSA doubling times after dietary supplementation as compared to placebo. The lack of information on tumor burden in these patients requires the need for additional xenograft studies that can provide supplement-induced PSA and tumor responses. Such parallel experimental studies will enable to validate PSA as a biomarker for tumor volume response and may link clinical PSA kinetics to actual tumor response. For one of the clinical study, such an experimental confirmation study was performed. The dietary supplement similar to what was used in the clinical study was administered to animals that were injected intraprostatically with human PC-346C cells. Responses on tumor growth and PSA were recorded over time and allowed to monitor a potential differential effect on PSA or tumor growth. This animal study revealed no difference in response as determined by tumor volume or PSA release between supplemented and placebo mice, and confirmed that PSA levels reflected tumor response under this specific dietary intervention. We propose that the strategy of PSA-based early phase II clinical trials accompanied by experimental human xenograft studies, to assess the reliability of PSA response to reflect tumor response, allows for a concise, relatively fast test system that is able to screen the various treatment options for chemoprevention in a relatively short period of time.     

A stroma-related lncRNA panel for predicting recurrence and adjuvant chemotherapy benefit in patients with early-stage colon cancer

The heterogeneity in prognoses and chemotherapeutic responses of colon cancer patients with similar clinical features emphasized the necessity for new biomarkers that help to improve the survival prediction and tailor therapies more rationally and precisely. In the present study, we established a s troma-related l ncRNA s ignature (SLS) based on 52 lncRNAs to comprehensively predict clinical outcome. The SLS model could not only distinguish patients with different recurrence and mortality risks through univariate analysis, but also served as an independent factor for relapse-free and overall survival. Compared with the conventionally used TNM stage system, the SLS model clearly possessed higher predictive accuracy. Moreover, the SLS model also effectively screened chemotherapy-responsive patients, as only patients in the low-SLS group could benefit from adjuvant chemotherapy. The following cell infiltration and competing endogenous RNA (ceRNA) network functional analyses further confirmed the association between the SLS model and stromal activation-related biological processes. Additionally, this study also identified three phenotypically distinct colon cancer subtypes that varied in clinical outcome and chemotherapy benefits. In conclusion, our SLS model may be a significant determinant of survival and chemotherapeutic decision-making in colon cancer and may have a strong clinical transformation value.     

A tumor-associated macrophages related model for predicting biochemical recurrence and tumor immune environment in prostate cancer

ObjectiveTo identify tumor-associated macrophages (TAMs) related molecular subtypes and develop a TAMs related prognostic model for prostate cancer (PCa).MethodsConsensus clustering analysis was used to identify TAMs related molecular clusters. A TAMs related prognostic model was developed using univariate and multivariate Cox analysis.ResultsThree TAMs related molecular clusters were identified and were confirmed to be associated with prognosis, clinicopathological characteristics, PD-L1 expression levels and tumor microenvironment. A TAMs related prognostic model was constructed. Patients in low-risk group all showed a more appreciable biochemical recurrence-free survival (BCRFS) than patients in high-risk group in train cohort, test cohort, entire TCGA cohort and validation cohort. SLC26A3 attenuated progression of PCa and prevented macrophage polarizing to TAMs phenotype, which was initially verified.ConclusionsWe successfully identified molecular clusters related to TAMs. Additionally, we developed a prognostic model involving TAMs that exhibits excellent predictive performance for biochemical recurrence-free survival in PCa.     

Thioredoxin 1 as a subcellular biomarker of redox imbalance in human prostate cancer progression

We determined protein levels and subcellular distribution of thioredoxin 1 (Trx1) in human prostate tissues using tissue microarrays and analyzed redox changes in Trx1 in the nucleus and cytoplasm in cell culture models with a redox Western blot technique. We demonstrated increased nuclear Trx1 levels in high- versus low-grade human prostate cancers. Despite increased protein levels, the oxidized forms of nuclear Trx1 were higher in prostate cancer cell lines compared to their benign counterparts, suggesting that nuclear redox imbalance occurred selectively in cancer cells. A growth-stimulating dose of androgen caused transient oxidation of Trx1 in androgen-responsive prostate cancer cells only, suggesting a loss of both androgen- and redox-signaling mechanisms during cancer progression. Androgen-independent PC3 cells showed a significant increase in nuclear and cytoplasmic Trx1 protein levels, but a significant decrease in total Trx activity. Trx1 redox state and activity correlated with the sensitivity of prostate cancer cells to pro-oxidant agents, and downregulation of Trx1 sensitized cancer cells to these agents. Our findings suggest that loss of Trx function because of oxidation and corresponding redox imbalance may play important roles in prostate cancer progression and response to therapies; and Trx1 may serve as a biomarker of subcellular redox imbalance in prostate cancer.     

Thioredoxin 1 as a subcellular biomarker of redox imbalance in human prostate cancer progression

We determined protein levels and subcellular distribution of thioredoxin 1 (Trx1) in human prostate tissues using tissue microarrays and analyzed redox changes in Trx1 in the nucleus and cytoplasm in cell culture models with a redox Western blot technique. We demonstrated increased nuclear Trx1 levels in high- versus low-grade human prostate cancers. Despite increased protein levels, the oxidized forms of nuclear Trx1 were higher in prostate cancer cell lines compared to their benign counterparts, suggesting that nuclear redox imbalance occurred selectively in cancer cells. A growth-stimulating dose of androgen caused transient oxidation of Trx1 in androgen-responsive prostate cancer cells only, suggesting a loss of both androgen- and redox-signaling mechanisms during cancer progression. Androgen-independent PC3 cells showed a significant increase in nuclear and cytoplasmic Trx1 protein levels, but a significant decrease in total Trx activity. Trx1 redox state and activity correlated with the sensitivity of prostate cancer cells to pro-oxidant agents, and downregulation of Trx1 sensitized cancer cells to these agents. Our findings suggest that loss of Trx function because of oxidation and corresponding redox imbalance may play important roles in prostate cancer progression and response to therapies; and Trx1 may serve as a biomarker of subcellular redox imbalance in prostate cancer.     

A prognostic eight-lncRNA expression signature in predicting recurrence of ER-positive breast cancer receiving endocrine therapy

Long noncoding RNAs (lncRNAs) have the main role in the tumorigenesis of breast cancer. In the present study, lncRNA expression profiling was collected to identify a lncRNA expression signature from the Gene Expression Omnibus database. An eight-lncRNA signature was established to predict the survival of patients with estrogen receptor (ER)-positive breast cancer receiving endocrine therapy. Patients were separated into a low-risk group and a high-risk group based on this signature. Patients in high-risk group have worse survival compared to those in low-risk group using Kaplan–Meier curve analysis with log-rank test. Receiver operating characteristic analysis suggested good diagnostic efficiency of the eight-lncRNA signature. When adjusting the clinical features, including age, grade, lymph node status, and tumor size, this signature was independently associated with the relapse-free survival. The prognostic value of the lncRNA prognostic model was then validated in validation sets. When validated in a cohort of patients treated with neoadjuvant chemotherapy and endocrine therapy, this signature demonstrated good performance as well. Besides, we have built a nomogram that integrated the conventional clinicopathological features and the eight-lncRNA-based signature. To sum up, our results indicated that the eight-lncRNA prognostic model was a reliable tool to group patients at high and low risk of disease relapse. This signature may have possible implication in prognostic evaluations of patients with ER-positive breast cancer receiving endocrine therapy.     

Proteomics in prostate cancer biomarker discovery

Despite advances in molecular medicine, genomics, proteomics and translational research, prostate cancer remains the second most common cause of cancer-related mortality for men in the Western world. Clearly, early detection, targeted treatment and post-treatment monitoring are vital tools to combat this disease. Tumor markers can be useful for diagnosis and early detection of cancer, assessment of prognosis, prediction of therapeutic effect and treatment monitoring. Such tumor markers include prostate-specific antigen (prostate), cancer antigen (CA)15.3 (breast), CA125 (ovarian), CA19.9 (gastrointestinal) and serum α-fetoprotein (testicular cancer). However, all of these biomarkers lack sensitivity and specificity and, therefore, there is a large drive towards proteomic biomarker discovery. Current research efforts are directed towards discovering biosignatures from biological samples using novel proteomic technologies that provide high-throughput, in-depth analysis and quantification of the proteome. Several of these studies have revealed promising biomarkers for use in diagnosis, assessment of prognosis, and targeting treatment of prostate cancer. This review focuses on prostate cancer proteomic biomarker discovery and its future potential.     

Evaluation of serum exosomal LncRNA‐based biomarker panel for diagnosis and recurrence prediction of bladder cancer

Exosomes are small membrane vesicles released by many cells. These vesicles can mediate cellular communications by transmitting active molecules including long non‐coding RNAs (lncRNAs). In this study, our aim was to identify a panel of lncRNAs in serum exosomes for the diagnosis and recurrence prediction of bladder cancer (BC). The expressions of 11 candidate lncRNAs in exosome were investigated in training set (n = 200) and an independent validation set (n = 320) via quantitative real‐time PCR. A three‐lncRNA panel (PCAT‐1, UBC1 and SNHG16) was finally identified by multivariate logistic regression model to provide high diagnostic accuracy for BC with an area under the receiver‐operating characteristic curve (AUC) of 0.857 and 0.826 in training set and validation set, respectively, which was significantly higher than that of urine cytology. The corresponding AUCs of this panel for patients with Ta, T1 and T2‐T4 were 0.760, 0.827 and 0.878, respectively. In addition, Kaplan‐Meier analysis showed that non‐muscle‐invasive BC (NMIBC) patients with high UBC1 expression had significantly lower recurrence‐free survival (P = 0.01). Multivariate Cox analysis demonstrated that UBC1 was independently associated with tumour recurrence of NMIBC (P = 0.018). Our study suggested that lncRNAs in serum exosomes may serve as considerable diagnostic and prognostic biomarkers of BC.     

Cancer stem cell in prostate cancer progression,metastasis and therapy resistance

Prostate cancer (PCa) is the most diagnosed malignancy in the men worldwide. Cancer stem cells (CSCs) are the sub-population of cells present in the tumor which possess unique properties of self-renewal and multilineage differentiation thus thought to be major cause of therapy resistance, disease relapse, and mortality in several malignancies including PCa. CSCs have also been shown positive for the common stem cells markers such as ALDH EZH2, OCT4, SOX2, c-MYC, Nanog etc. Therefore, isolation and characterization of CSCs specific markers which may discriminate CSCs and normal stem cells are critical to selectively eliminate CSCs. Rapid advances in the field offers a theoretical explanation for many of the enduring uncertainties encompassing the etiology and an optimism for the identification of new stem-cell targets, development of reliable and efficient therapies in the future. The emerging reports have also provided unprecedented insights into CSCs plasticity, quiescence, renewal, and therapeutic response. In this review, we discuss the identification of PCa stem cells, their unique properties, stemness-driving pathways, new diagnostics, and therapeutic interventions.     

Advances in proteomic prostate cancer biomarker discovery

Prostate cancer is the most common non-cutaneous cancer in men in the United States. For reasons largely unknown, the incidence of prostate cancer has increased in the last two decades, in spite or perhaps because of a concomitant increase in serum prostate-specific antigen (PSA) screening. While PSA is acknowledged not to be an ideal biomarker for prostate cancer detection, it is however widely used by physicians due to lack of an alternative. Thus, the identification of a biomarker(s) that can complement or replace PSA represents a major goal for prostate cancer research. Screening complex biological specimens such as blood, urine, and tissue to identify protein biomarkers has become increasingly popular over the last decade thanks to advances in proteomic discovery methods. The completion of human genome sequence together with new development in mass spectrometry instrumentation and bioinformatics has been a major driving force in biomarker discovery research. Here we review the current state of proteomic applications as applied to various sample sources including blood, urine, tissue, and “secretome” for the purpose of prostate cancer biomarker discovery. Additionally, we review recent developments in validation of putative markers, efforts at systems biology approach, and current challenges of proteomics in biomarker discovery.     

Association of HLA class I antigen abnormalities with disease progression and early recurrence in prostate cancer

Defects in HLA class I antigen processing machinery (APM) component expression often have a negative impact on the clinical course of tumors and on the response to T cell-based immunotherapy. Since only scant information is available about the frequency and clinical significance of HLA class I APM component abnormalities in prostate cancer, the APM component expression pattern was analyzed in 59 primary prostate carcinoma, adjacent normal tissues, as well as in prostate carcinoma cell lines. The IFN-γ inducible proteasome subunits LMP2 and LMP7, TAP1, TAP2, calnexin, calreticulin, ERp57, and tapasin are strongly expressed in the cytoplasm of normal prostate cells, whereas HLA class I heavy chain (HC) and β₂-microglobulin are expressed on the cell surface. Most of the APM components were downregulated in a substantial number of prostate cancers. With the exception of HLA class I HC, TAP2 and ERp57 not detectable in about 0.5% of tumor lesions, all other APM components were not detected in at least 21% of lesions analyzed. These APM component defects were associated with a higher Gleason grade of tumors and an early disease recurrence. Prostate carcinoma cell lines also exhibit a heterogeneous, but reduced constitutive APM component expression pattern associated with lack or reduced HLA class I surface antigens, which could be upregulated by IFN-γ. Our results suggest that HLA class I APM component abnormalities are mainly due to regulatory mechanisms, play a role in the clinical course of prostate cancer and on the outcome of T cell-based immunotherapies.     

Interleukin-6 and prostate cancer progression

Prostate cancer, while initially dependent on androgens for proliferation, progresses to an androgen-independent state. Evidence has been accumulating that interleukin-6 (IL-6) may contribute to prostate cancer progression. Serum levels of IL-6 correlate with prostate tumor burden and patient morbidity. The prostate tissue itself appears to be a source of IL-6 and its receptor. Furthermore, experimental data suggest that IL-6 is an autocrine and paracrine growth factor for androgen-independent prostate cancer cell lines. For example, inhibition of IL-6, with anti-IL-6 antibody, sensitizes androgen-independent prostate cancer cells to chemotherapeutic agents in vitro. Finally, IL-6 activates a variety of signal transduction cascades, some which stimulate androgen receptor activity, in prostate cancer cells. These data suggest that targeting IL-6 may have multiple benefits in prostate cancer patients.     

PSA lo and behold: prostate cancer stem cells

Human prostate cancers contain multiple cell populations marked by varying levels of the differentiation marker prostate-specific antigen (PSA). In this issue of Cell Stem Cell, Qin et?al. (2012) show that PSA(-/lo) cells are enriched for cells with tumor-initiating characteristics and may participate in resistance to androgen-ablative therapies.     

MALDI mass spectrometry in prostate cancer biomarker discovery

Matrix-assisted laser desorption/ionisation (MALDI) mass spectrometry (MS) is a highly versatile and sensitive analytical technique, which is known for its soft ionisation of biomolecules such as peptides and proteins. Generally, MALDI MS analysis requires little sample preparation, and in some cases like MS profiling it can be automated through the use of robotic liquid-handling systems. For more than a decade now, MALDI MS has been extensively utilised in the search for biomarkers that could aid clinicians in diagnosis, prognosis, and treatment decision making. This review examines the various MALDI-based MS techniques like MS imaging, MS profiling and proteomics in-depth analysis where MALDI MS follows fractionation and separation methods such as gel electrophoresis, and how these have contributed to prostate cancer biomarker research. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.