Evidence map›Paper›PMID 29088881›Full record

ArticleOncotarget2017

LncRNA PVT1 as an effective biomarker for cancer diagnosis and detection based on transcriptome data and meta-analysis.

Yunhong Zeng, Tieqiang Wang, Yi Liu, Zhan Su, Pingtao Lu, Xiaoliang Chen, Dongsheng Hu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Expression of microRNA-99a-3p in Prostate Cancer Based on Bioinformatics Data and Meta-Analysis of a Literature Review of 965 Cases.Medical science monitor : international medical journal of experimental and clinical research · 2018
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  8. Frontiers in oncology · 2020
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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

7 authors at 3 institutions in 1 country.

Yunhong ZengGuangming District People's Hospital of Shenzhen, Shenzhen, Guangdong, P.R. China.
Tieqiang WangShenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, P.R. China.
Yi LiuShenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, P.R. China.
Zhan SuShenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, P.R. China.
Pingtao LuGuangming District People's Hospital of Shenzhen, Shenzhen, Guangdong, P.R. China.
Xiaoliang ChenShenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, P.R. China.
Dongsheng HuDepartment of Preventive Medicine, Shenzhen University Health Science Center, Shenzhen, Guangdong, P.R. China.
Shenzhen Center for Disease Control and Prevention · CNShenzhen Bao'an District People's Hospital · CNShenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLong noncoding RNA (lncRNA) PVT1 was detected all types of cancer from Cancer Genome Atlas (TCGA) project; however, the role of PVT1 in cancer is not clear. This study aimed to reanalyze and determine the effect of PVT1 on cancer diagnosis, especially detection in serum. MATERIALS AND

methodsDifferential expression of PVT1 between cancers and corresponding normal tissues and receiver operating characteristic (ROC) curve were analyzed for all types of cancers in TCGA database. RevMan5.3, Meta-DiSc1.4 and STATA14.0 were used to estimate pooled diagnostic effects of PVT1 in tissue as well as serum.

resultsCompared to corresponding normal tissues, PVT1 expression was significantly upregulated in 18 types of cancer and further being an effective diagnosis biomarker in 16 of them. For the 23 diagnosis tests performed in tissue, the pooled AUC and diagnostic odd ratio (DOR) were estimated to be 0.81 (95% CI: 0.76-0.86) and 17.25 (95% CI: 8.43-35.27), when the pooled AUC and DOR were 0.83 (95%CI: 0.75-0.91) and 13.86 (95% CI: 4.70-40.66) for serum tests. Furthermore, the pooled sensitivity and specificity were 0.83 (95% CI: 0.76-0.89) and 0.74 (95% CI:0.70-0.84) for tissue as well as 0.81 (95% CI: 0.76-0.86) and 0.76 (95% CI:0.70-0.81) for serum.

conclusionsPVT1, especially in serum, might be a usable biomarker for cancer diagnosis / detection.

Indexed as

carcinomadiagnosismeta-analysismetastasisPVT1

Identifiers

PMID29088881
PMCPMC5650436
OpenAlexW2750583169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.