Evidence map›Paper›PMID 26254614›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Prognostic value of long non-coding RNA MALAT1 in cancer patients.

Yihua Wu, Wei Lu, Jinming Xu, Yu Shi, Honghe Zhang, Dajing Xia

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Non-coding RNAs and potential therapeutic targeting in cancer.Biochimica et biophysica acta. Reviews on cancer · 2021
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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

6 authors.

Yihua WuDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China. georgewuer@126.com.
Wei LuDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Jinming XuDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Yu ShiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Honghe ZhangDepartment of Pathology, Medical School, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China.
Dajing XiaDepartment of Toxicology, School of Public Health, Zhejiang University, 866 Yuhangtang Road, Hangzhou, People's Republic of China. dxia@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis associated in lung adenocarcinoma transcript 1 (MALAT1) was identified to be the first long non-coding RNA as a biomarker of independent prognostic value for early stage non-small cell lung cancer patient survival. In recent years, the association between upregulated tissue MALAT1 level and incidence of various cancers including bladder cancer, colorectal cancer, and renal cancer has been widely discussed. The aim of our present study was to assess the potential prognostic value of MALAT1 in various human cancers. PubMed, Embase, Ovid, and Cochrane Library databases were systematically searched, and eligible studies evaluating the prognostic value of MALAT1 in various cancers were included. Finally, 11 studies encompassing 1216 participants reporting with sufficient data were enrolled in the current meta-analysis. The pooled hazard ratio (HR) was 2.05 (95 % confidence interval (CI) 1.64-2.55, p < 0.01) for overall survival (OS) and 2.66 (95 % CI 1.86-3.80, p < 0.01) for disease-free survival (DFS). In conclusion, high tissue MALAT1 level was associated with an inferior clinical outcome in various cancers, suggesting that MALAT1 might serve as a potential prognostic biomarker for various cancers.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorDisease-Free SurvivalFemaleHumansMaleNeoplasmsPrognosisProportional Hazards ModelsRNA, Long NoncodingTreatment OutcomeBiomarkers, TumorMALAT1 long non-coding RNA, humanRNA, Long NoncodingCancerMetastasis associated in lung adenocarcinoma transcript 1 (MALAT1)Prognostic value

Identifiers

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Registered trials

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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.