ArticleOncotarget2014
Development and prospective multicenter evaluation of the long noncoding RNA MALAT-1 as a diagnostic urinary biomarker for prostate cancer.
Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
101 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches.Prostate cancer and prostatic diseases · 2022Pooled it
- High expression of long non-coding RNA MALAT1 in breast cancer is associated with poor relapse-free survival.Breast cancer research and treatment · 2018Pooled it
- Molecular determinants of AR-enhancer interaction and cistrome reprogramming in prostate cancer progression.Endocrine-related cancer · 2026Review
- Prostate cancer diagnosis using sensitive and sophisticated machine learning classifiers based on non-invasive urinary RNA biomarkers (PCASSO).Scientific reports · 2025Article
- Pathogenesis-Guided Biomarker Assessment: A Shift in Prostate Cancer Diagnostics.International journal of molecular sciences · 2025Review
- LncRNA-Histone Modification Crosstalk: Orchestrating Cancer Pathobiology.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Biomarkers in Localized Prostate Cancer: From Diagnosis to Treatment.International journal of molecular sciences · 2025Review
- Fluorescence imaging of MALAT1 expression using a Cy5.5-labeled antisense oligonucleotide in lung cancer and epidermal carcinoma cells.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Natural products and long non-coding RNAs in prostate cancer: insights into etiology and treatment resistance.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Androgen receptor-regulated lncRNA PRCAT71 promotes AR signaling through the interaction with KHSRP in prostate cancer.Science advances · 2025Article
- Long Non-Coding RNAs: Key Regulators of Tumor Epithelial/Mesenchymal Plasticity and Cancer Stemness.Cells · 2025Review
- LINC01518 predicts poor prognosis of prostate cancer and promotes its progression by regulating hsa-miR-320a/CNKSR2 axis.Discover oncology · 2024Article
- Extracellular RNAs from Whole Urine to Distinguish Prostate Cancer from Benign Prostatic Hyperplasia.International journal of molecular sciences · 2024Article
- Long non-coding RNAs: regulators of autophagy and potential biomarkers in therapy resistance and urological cancers.Frontiers in pharmacology · 2024Review
- LncRNA MALAT1 signaling pathway and clinical applications in overcome on cancers metastasis.Clinical and experimental medicine · 2023Review
- Long non-coding RNAs in bone metastasis: progresses and perspectives as potential diagnostic and prognostic biomarkers.Frontiers in endocrinology · 2023Review
- LncRNA weighted gene co-expression network analysis reveals novel biomarkers related to prostate cancer metastasis.BMC medical genomics · 2022Article
- Targeting the MALAT1 gene with the CRISPR/Cas9 technique in prostate cancer.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2022Article
- The roles of long noncoding RNAs in the regulation of OCT4 expression.Stem cell research & therapy · 2022Review
- Silencing of TP73-AS1 impairs prostate cancer cell proliferation and induces apoptosis via regulation of TP73.Molecular biology reports · 2022Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current strategy for diagnosing prostate cancer (PCa) is mainly based on the serum prostate-specific antigen (PSA) test. However, PSA has low specificity and has led to numerous unnecessary biopsies. We evaluated the effectiveness of urinary metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1), a long noncoding RNA, for predicting the risk of PCa before biopsy. The MALAT-1 score was tested in a discovery phase and a multi-center validation phase. The predictive power of the MALAT-1 score was evaluated by the area under receiver operating characteristic (ROC) curve (AUC) and by decision curve analysis. As an independent predictor of PCa, the MALAT-1 score was significantly higher in men with a positive biopsy than in those with a negative biopsy. The ROC analysis showed a higher AUC for the MALAT-1 score (0.670 and 0.742) vs. the total PSA (0.545 and 0.601) and percent free PSA (0.622 and 0.627) in patients with PSA values of 4.0-10 ng/ml. According to the decision curve analysis, using a probability threshold of 25%, the MALAT-1 model would prevent 30.2%-46.5% of unnecessary biopsies in PSA 4-10 ng/ml cohorts, without missing any high-grade cancers. Our results demonstrate that urine MALAT-1 is a promising biomarker for predicting prostate cancer risk.
Indexed as
Identifiers
What OpenQuestion holds
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.