Evidence map›Paper›PMID 29845475›Full record

SynthesisBreast cancer research and treatment2018

High expression of long non-coding RNA MALAT1 in breast cancer is associated with poor relapse-free survival.

Zhanwei Wang, Dionyssios Katsaros, Nicoletta Biglia, Yi Shen, Yuanyuan Fu, Lenora W M Loo, Wei Jia, Yuki Obata, Herbert Yu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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  5. Longitudinal tracking ofMolecular therapy. Oncology · 2025
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  12. The Role of EMT-Related lncRNAs in Ovarian Cancer.International journal of molecular sciences · 2023
    Review
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  18. Small molecule quercetin bindsMolecular therapy. Nucleic acids · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zhanwei WangCancer Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Dionyssios KatsarosDepartment of Surgical Sciences, Gynecology, AOU Città della Salute, University of Torino School of Medicine, Turin, Italy.
Nicoletta BigliaDepartment of Surgical Sciences, Division of Obstetrics and Gynecology, University of Torino School of Medicine, Mauriziano Hospital, Turin, Italy.
Yi ShenCancer Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Yuanyuan FuCancer Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Lenora W M LooCancer Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Wei JiaCancer Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Yuki ObataCollege of Pharmacy, Kinjo Gakuin University, Nagoya, Aichi, Japan.
Herbert YuCancer Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA. hyu@cc.hawaii.edu.ORCID http://orcid.org/0000-0003-3950-4815

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
Epidemiologic Study of Hepatocellular Carcinoma in the USR01CA138698 · NCI · YALE UNIVERSITY · PI YU, HERBERT · 2010 to 2015
$5.7M
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA138698
6 · The paper itself

Abstract

purposeMetastasis-associated lung adenocarcinoma transcript 1 (MALAT1) has been identified as a prognostic marker for the metastasis of early-stage non-small cell lung cancer (NSCLCs). We studied MALAT1 expression in breast cancer in relation to disease features and patient survival.

methodsQuantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) was used to measure MALAT1 expression in tumor samples of 509 breast cancer patients. Hazards ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the association between MALAT1 expression and breast cancer survival using the Cox proportional hazards regression model, and the analysis was adjusted for age at surgery, tumor grade, disease stage, and hormone receptor status. Meta-analysis of multiple microarray datasets from online databases and our own study was performed to evaluate the association of MALAT1 with breast cancer survival.

resultsPatients with low-grade or ER-positive tumors had higher expression of MALAT1 compared to those with high-grade (p = 0.013) or ER-negative (p = 0.0002) tumors. Patients with PR-positive tumors also had higher MALAT1 expression than those with PR-negative tumors (p < 0.0001). In patients with positive hormone receptors or low tumor grade, tumors with high MALAT1 expression were more likely to recur. Survival analysis showed that patients with high expression of MALAT1 had a twofold increase in risk of relapse (p = 0.0083) compared to those with low expression. This association remained significant after adjustment for age at surgery, disease stage, tumor grade, and hormone receptor status. Meta-analysis showed that high MALAT1 expression was associated with poor relapse-free survival in patients with hormone receptor-positive tumors (HR 1.44, 95% CI 1.08-1.92).

conclusionsHigh expression of lncRNA MALAT1 is associated with breast cancer relapse and may play a role in tumor progression.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticAdultAgedBreast NeoplasmsCell Line, TumorCpG IslandsDisease ProgressionDNA MethylationFemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm GradingNeoplasm StagingOdds RatioBiomarkers, TumorMALAT1 long non-coding RNA, humanReceptors, EstrogenRNA, Long NoncodingBreast cancerEstrogen receptorMALAT1Meta-analysisSurvival

Identifiers

PMID29845475
PMCPMC6488226

What OpenQuestion holds

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Registered trials

None linked

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.