ArticlePloS one2015
Analysis of the Human Prostate-Specific Proteome Defined by Transcriptomics and Antibody-Based Profiling Identifies TMEM79 and ACOXL as Two Putative, Diagnostic Markers in Prostate Cancer.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.Nature genetics · 2021Pooled it
- Overcoming T cell tolerance to tumor self-antigens through catch-bond engineering.Science (New York, N.Y.) · 2026Article
- Evolving stratification and biomarker discovery in cancer research with technological advancement of proteomics: 35 years and counting.Bioscience reports · 2025Review
- Association of acyl-CoA oxidase-like gene polymorphisms with risk, onset age, and beta-cell function of type 1 diabetes in Chinese.Frontiers in endocrinology · 2025Article
- Multi-omics Investigations in Endocrine Systems and Their Clinical Implications.Advances in experimental medicine and biology · 2024Article
- Overexpression of TMEM79 combined with SMG5 is related to prognosis, tumor immune infiltration and drug sensitivity in hepatocellular carcinoma.European journal of medical research · 2023Article
- Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis.BMC bioinformatics · 2023Article
- Gene expression based profiling of pleomorphic xanthoastrocytoma highlights two prognostic subgroups.American journal of translational research · 2022Article
- A pan-cancer transcriptomic study showing tumor specific alterations in central metabolism.Scientific reports · 2021Article
- Classification of Homo sapiens gene behavior using linear discriminant analysis fused with minimum entropy mapping.Medical & biological engineering & computing · 2021Article
- Anti-tumor activities ofJournal of ginseng research · 2021Article
- Review
- A Transcription Factor-Based Risk Model for Predicting the Prognosis of Prostate Cancer and Potential Therapeutic Drugs.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- The Human Protein Atlas-Spatial localization of the human proteome in health and disease.Protein science : a publication of the Protein Society · 2021Article
- CAPN3, DCT, MLANA and TYRP1 are overexpressed in skin of vitiligo vulgaris Mexican patients.Experimental and therapeutic medicine · 2018Article
- Article
- Evaluation of skin expression profiles of patients with vitiligo treated with narrow-band UVB therapy by targeted RNA-seq.Anais brasileiros de dermatologiaArticle
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To better understand prostate function and disease, it is important to define and explore the molecular constituents that signify the prostate gland. The aim of this study was to define the prostate specific transcriptome and proteome, in comparison to 26 other human tissues. Deep sequencing of mRNA (RNA-seq) and immunohistochemistry-based protein profiling were combined to identify prostate specific gene expression patterns and to explore tissue biomarkers for potential clinical use in prostate cancer diagnostics. We identified 203 genes with elevated expression in the prostate, 22 of which showed more than five-fold higher expression levels compared to all other tissue types. In addition to previously well-known proteins we identified two poorly characterized proteins, TMEM79 and ACOXL, with potential to differentiate between benign and cancerous prostatic glands in tissue biopsies. In conclusion, we have applied a genome-wide analysis to identify the prostate specific proteome using transcriptomics and antibody-based protein profiling to identify genes with elevated expression in the prostate. Our data provides a starting point for further functional studies to explore the molecular repertoire of normal and diseased prostate including potential prostate cancer markers such as TMEM79 and ACOXL.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.