Evidence map›Paper›PMID 28713985›Full record

ArticleOncology reports2017

Microarray expression profiles of long non-coding RNAs in germinal center-like diffuse large B-cell lymphoma.

Hong-Yu Gao, Bin Wu, Wei Yan, Zi-Mu Gong, Qi Sun, Hui-Han Wang, Wei Yang

Open access · bronzeAbstract read
In one paragraph

Article in Oncology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 32% 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

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

  1. Pooled it
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  13. Expression of exportin-1 in diffuse large B-cell lymphoma: immunohistochemistry and TCGA analyses.International journal of clinical and experimental pathology · 2018
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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 1 institution in 1 country.

Hong-Yu GaoDepartment of Hematology, Shengjing Hospital of China Medical University, Tiexi, Shenyang, Liaoning 110000, P.R. China.
Bin WuDepartment of Hematology, Shengjing Hospital of China Medical University, Tiexi, Shenyang, Liaoning 110000, P.R. China.
Wei YanDepartment of Hematology, Shengjing Hospital of China Medical University, Tiexi, Shenyang, Liaoning 110000, P.R. China.
Zi-Mu GongDepartment of Hematology, Shengjing Hospital of China Medical University, Tiexi, Shenyang, Liaoning 110000, P.R. China.
Qi SunDepartment of Hematology, Shengjing Hospital of China Medical University, Tiexi, Shenyang, Liaoning 110000, P.R. China.
Hui-Han WangDepartment of Hematology, Shengjing Hospital of China Medical University, Tiexi, Shenyang, Liaoning 110000, P.R. China.
Wei YangDepartment of Hematology, Shengjing Hospital of China Medical University, Tiexi, Shenyang, Liaoning 110000, P.R. China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are continuously transcribed and are involved in various cellular activities. However, their contributions to the occurrence and development of germinal center B-cell (GCB)-like diffuse large B-cell lymphoma (DLBCL) remain largely unknown. We applied microarray technology to profile the expression of lncRNAs in two different GCB-DLBCL cell lines (OCI-ly1 and OCI-ly19) and normal B lymphocytes. We demonstrated that 21,539 lncRNAs were expressed in all of the samples analyzed. This included 1,648 lncRNAs that showed a ≥2-fold upregulation and 2,671 lncRNAs that displayed a ≥2-fold downregulation in tumor cell lines (P<0.05). The expression levels of 8 lncRNAs were validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Bioinformatic analyses (Gene Ontology, pathway and network analysis) were performed to predict how the differentially expressed lncRNAs may function in GCB-DLBCL. Results from the pathway analysis suggested that totals of 64 and 62 biological pathways corresponded to upregulated and downregulated transcripts, respectively (P<0.05). Additionally, we constructed a lncRNA‑mRNA network for the purpose of identifying specific coding genes which were co-expressed with 5 selected lncRNAs. Conclusively, our results may contribute to a better understanding of GCB-DLBCL pathogenesis.

Indexed as

B-LymphocytesCell Line, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGerminal CenterHumansLymphoma, Large B-Cell, DiffuseMicroarray AnalysisRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, Messenger

Identifiers

PMID28713985
PMCPMC5549037
OpenAlexW2734802033

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.