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Jianjun Yu

Publications and source records attributed to Jianjun Yu.

9 recordsLinked to original sources
PubMed2005

Autoantibody signatures in prostate cancer.

BACKGROUND: New biomarkers, such as autoantibody signatures, may improve the early detection of prostate cancer. METHODS: With a phage-display library derived from prostate-cancer tissue, we developed and used phage protein microarrays to analyze serum samples from 119 patients with prostate cancer and 138 controls, with the samples equally divided into training and validation sets. A phage-peptide detector that was constructed from the training set was evaluated on an independent validation set of 128 serum samples (60 from patients with prostate cancer and 68 from controls). RESULTS: A 22-phage-peptide detector had 88.2 percent specificity (95 percent confidence interval, 0.78 to 0.95) and 81.6 percent sensitivity (95 percent confidence interval, 0.70 to 0.90) in discriminating between the group with prostate cancer and the control group. This panel of peptides performed better than did prostate-specific antigen (PSA) in distinguishing between the group with prostate cancer and the control group (area under the curve for the autoantibody signature, 0.93; 95 percent confidence interval, 0.88 to 0.97; area under the curve for PSA, 0.80; 95 percent confidence interval, 0.71 to 0.88). Logistic-regression analysis revealed that the phage-peptide panel provided additional discriminative power over PSA (P<0.001). Among the 22 phage peptides used as a detector, 4 were derived from in-frame, named coding sequences. The remaining phage peptides were generated from untranslated sequences. CONCLUSIONS: Autoantibodies against peptides derived from prostate-cancer tissue could be used as the basis for a screening test for prostate cancer.

Aged↗
PubMed2005

The unfolded protein response modulates toxicity of the expanded glutamine androgen receptor.

Kennedy disease, a degenerative disorder caused by an expanded glutamine tract, is mediated by misfolding of the mutant androgen receptor (AR) protein, a process that may disrupt proteasome function. We hypothesized that this might lead to endoplasmic reticulum (ER) stress and induction of the unfolded protein response (UPR), a complex physiologic pathway that regulates cell survival. To test this hypothesis, we used aminoterminal fragments of wild type (AR16Q) or mutant (AR112Q) AR that triggered glutamine length-dependent cell death and activated an ER stress-inducible promoter. To evaluate the role of the UPR, we examined the contributions of three proximal sensors of ER stress: activating transcription factor 6 (ATF6), inositol requiring 1 (IRE1), and PKR-like endoplasmic reticulum kinase (PERK). AR112Q toxicity was significantly increased by a dominant negative ATF6 mutant and significantly decreased by a constitutively active ATF6 mutant, indicating that ATF6 promoted cell survival. In contrast, co-transfection with three separate IRE1alpha dominant negative mutants failed to alter glutamine length-dependent toxicity, suggesting that this arm of the UPR did not significantly affect AR112Q induced cell death. Activation of PERK, an ER transmembrane protein that functions as the third proximal UPR sensor, promoted glutamine length-dependent toxicity. Although nuclear localization sequence- and nuclear export sequence-targeted proteins both activated the UPR, this pathway more potently influenced toxicity when proteins were targeted to the cytoplasm. Taken together, our data demonstrate that the UPR is activated in cells expressing long glutamine tracts and that this pathway modulates polyglutamine toxicity.

Activating Transcription Factor 6↗
PubMed2005

Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression.

Molecular profiling of cancer at the transcript level has become routine. Large-scale analysis of proteomic alterations during cancer progression has been a more daunting task. Here, we employed high-throughput immunoblotting in order to interrogate tissue extracts derived from prostate cancer. We identified 64 proteins that were altered in prostate cancer relative to benign prostate and 156 additional proteins that were altered in metastatic disease. An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed, revealing only 48%-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.

Disease Progression↗
PubMed2004

Molecular profiling of human prostate tissues: insights into gene expression patterns of prostate development during puberty.

Testosterone production surges during puberty and orchestrates massive growth and reorganization of the prostate gland, and this glandular architecture is maintained thereafter throughout adulthood. Benign prostatic hyperplasia (BPH) and prostate adenocarcinoma (PCA) are common diseases in adulthood that do not develop in the absence of androgens. Our objective was to gain insight into gene expression changes of the prostate gland at puberty, a crucial juncture in prostate development that is androgen dependent. Understanding the role played by androgens in normal prostate development may provide greater insight into androgen involvement in prostatic diseases. Benign prostate tissues obtained from pubertal and adult age group cadaveric organ donors were harvested and profiled using 20,000 element cDNA microarrays. Statistical analysis of the microarray data identified 375 genes that were differentially expressed in pubertal prostates relative to adult prostates including genes such as Nkx3.1, TMEPAI, TGFBR3, FASN, ANKH, TGFBR2, FAAH, S100P, HoxB13, fibronectin, and TSC2 among others. Comparisons of pubertal and BPH expression profiles revealed a subset of genes that shared the expression pattern between the two groups. In addition, we observed that several genes from this list were previously demonstrated to be regulated by androgen and hence could also be potential in vivo targets of androgen action in the pubertal human prostate. Promoter searches revealed the presence of androgen response elements in a cohort of genes including tumor necrosis factor-alpha induced adipose related protein, which was found to be induced by androgen. In summary, this is the first report that provides a comprehensive view of the molecular events that occur during puberty in the human prostate and provides a cohort of genes that could be potential in vivo targets of androgenic action during puberty.

Adolescent↗
PubMed2004

Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.

Many studies have used DNA microarrays to identify the gene expression signatures of human cancer, yet the critical features of these often unmanageably large signatures remain elusive. To address this, we developed a statistical method, comparative metaprofiling, which identifies and assesses the intersection of multiple gene expression signatures from a diverse collection of microarray data sets. We collected and analyzed 40 published cancer microarray data sets, comprising 38 million gene expression measurements from >3,700 cancer samples. From this, we characterized a common transcriptional profile that is universally activated in most cancer types relative to the normal tissues from which they arose, likely reflecting essential transcriptional features of neoplastic transformation. In addition, we characterized a transcriptional profile that is commonly activated in various types of undifferentiated cancer, suggesting common molecular mechanisms by which cancer cells progress and avoid differentiation. Finally, we validated these transcriptional profiles on independent data sets.

Cell Transformation, Neoplastic↗
PubMed2003

Prostate cancer biomarkers: a current perspective.

Genomic- and proteomic-based studies have led to the identification of a large number of candidate biomarkers, as well as signature patterns of multiple markers for prostate cancer diagnosis, disease progression and prediction of survival. While these candidates include the usual suspects, including oncogenes, proliferation markers and cytoskeletal proteins, there are many additional unexpected molecules such as those involved in processes such as transcriptional repression and fatty acid metabolism. Patterns of expression serving as useful biomarkers is a new and, as yet, clinically untested concept which promises to permit a consideration of the complex milieu of cancer. Exciting as these developments are, clinical application will have to await careful validation of these candidates by independent biochemical approaches over large and diverse samples.

Biomarkers, Tumor↗
PubMed2002

[The correlated study on CREM expression and testicular breeding sperm functional lesion in rats with varicocele].

OBJECTIVE: To study male infertility's mechanism caused by varicocele. METHODS: 30 rats were selected at random, of 20 were operated, as varicocele's group;of 10 were pseudo-operated, as controlled group, testes were removed, stained and sectioned. Makler Score were adopted to analyse the bore, limitan's thickness, layer number of cell, the degree of cell's maturity and average score in 200 and 100 seminiferous tubulae respectively. CREM was determined by hybridization in situ, the difference between two groups was compared. RESULTS: In varicocele' group, seminiferous tubule's bore was decreased (101.2 +/- 2.2 vs 146.0 +/- 4.1), limitan became thicker (3.5 +/- 0.1 vs 1.9 +/- 0.2), cell' s layer number was reduced (3.0 +/- 0.2 vs 5.5 +/- 0.1), cell's maturity turned to disturbance (3.6 +/- 0.3 vs 4.9 +/- 0.1), the average score was lower than controlled group (16.0 +/- 1.2 vs 8.5 +/- 0.6), they had significant differences (P < 0.001). CREM expression was lower in varicocele group than in controlled one (VG 2.0 +/- 0.32, SoG 3.90 +/- 0.32) (P < 0.001), which was located in spermatogenous cell to spermatocyte stage. The quantu of expression and score value brought out positive correlation (r = 0.746, P < 0.001). CONCLUSIONS: CREM lower expression could lead to breeding sperm functional lesion, which probably was one of the mechanisms of infertility caused by varicocele.

Animals↗
PubMedDate not supplied

ONCOMINE: a cancer microarray database and integrated data-mining platform.

DNA microarray technology has led to an explosion of oncogenomic analyses, generating a wealth of data and uncovering the complex gene expression patterns of cancer. Unfortunately, due to the lack of a unifying bioinformatic resource, the majority of these data sit stagnant and disjointed following publication, massively underutilized by the cancer research community. Here, we present ONCOMINE, a cancer microarray database and web-based data-mining platform aimed at facilitating discovery from genome-wide expression analyses. To date, ONCOMINE contains 65 gene expression datasets comprising nearly 48 million gene expression measurements form over 4700 microarray experiments. Differential expression analyses comparing most major types of cancer with respective normal tissues as well as a variety of cancer subtypes and clinical-based and pathology-based analyses are available for exploration. Data can be queried and visualized for a selected gene across all analyses or for multiple genes in a selected analysis. Furthermore, gene sets can be limited to clinically important annotations including secreted, kinase, membrane, and known gene-drug target pairs to facilitate the discovery of novel biomarkers and therapeutic targets.

Databases, Genetic↗