Evidence map›Paper›PMID 27448299›Full record

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

Profiling of mRNA and long non-coding RNA of urothelial cancer in recipients after renal transplantation.

Donghao Shang, Tie Zheng, Jian Zhang, Ye Tian, Yuting Liu

Abstract read
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In one paragraph

Article 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. MALAT1: a therapeutic candidate for a broad spectrum of vascular and cardiorenal complications.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
    Review
  5. Article
  6. Article
  7. A porcine model to study the effect of brain death on kidney genomic responses.Journal of clinical and translational science · 2018
    Article
  8. The role of CD36 in renal and bladder cancer.Discoveries (Craiova, Romania)
    Review
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

5 authors at 2 institutions in 1 country.

Donghao ShangDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Tie ZhengDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jian ZhangDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Ye TianDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Yuting LiuDepartment of Pathology, Capital Medical University, Beijing, 100069, China. lyt@ccmu.edu.cn.
Capital Medical University · CNBeijing Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular mechanism and signal transduction pathways involved in urothelial cancer (UC) after renal transplantation (RTx) remain unknown. In this study, we investigated the profiling of messenger RNA (mRNA) and long non-coding RNA (lncRNA) in RTx recipients with UC. The mRNA and lncRNA of six pairs of UC and corresponding normal urothelial tissues in RTx recipients were profiled using Arraystar Human lncRNA Microarray V3.0, which is designed for the global profiling of 26,109 coding transcripts and 30,586 lncRNAs. Quantitative real-time PCR (qRT-PCR) was used to validate the differentially expressed mRNAs and lncRNAs. Molecular function classification and biological process classification for the differentially expressed mRNAs were analyzed with Gene Ontology. The key pathways that were associated with UC after RTx were analyzed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Compared to normal urothelial tissues, 1597 mRNAs were upregulated and 1032 mRNAs were downregulated in UC; 2107 lncRNAs were upregulated and 1794 lncRNAs were downregulated (greater than twofold). Further qRT-PCR analysis of mRNA and lncRNA expression showed well consistency with the data of microarray analysis. The expression of matrix metalloprotease (MMP)-3, MMP-10, MMP-12, and MMP-13 was significantly increased, while the expression of CD36 was decreased in UC after RTx. Co-expression analysis of lncRNAs and their nearby coding genes showed that lncRNAs may play critical roles in regulating nearby genes in the carcinogenesis of UC. Our results also suggest that peroxisome proliferator-activated receptor (PPAR) signaling may be involved in UC after RTx. Moreover, several cytokines and their receptors were also significantly upregulated in UC after RTx, suggesting that cytokines might be modulated and participated in the carcinogenesis of UC after RTx. We analyzed the potential molecular mechanism and pathways involved in the UC of RTx recipients. Our results revealed that several key regulatory pathways and lncRNAs play critical roles in the carcinogenesis of UC, and suggest that UC in RTx recipients may be more likely to invade and metastasis. However, the detailed functional analysis of these mechanisms should be further performed in the future.

Indexed as

Cluster AnalysisFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansKidney TransplantationMaleMiddle AgedOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, Long NoncodingRNA, MessengerSignal TransductionUrologic NeoplasmsUrotheliumRNA, Long NoncodingRNA, MessengerGene expressionlncRNARenal transplantationUrothelial cancer

Identifiers

PMID27448299
OpenAlexW2486282737

What OpenQuestion holds

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Read underepoch 390

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.