Evidence map›Paper›PMID 30337839›Full record

ArticleCancer cell international2018

New insights into long noncoding RNAs and pseudogenes in prognosis of renal cell carcinoma.

Binghai Chen, Chengyue Wang, Jin Zhang, Yang Zhou, Wei Hu, Tao Guo

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

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  14. International journal of molecular sciences · 2021
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  18. Cancer, Retrogenes, and Evolution.Life (Basel, Switzerland) · 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 at 3 institutions in 1 country.

Binghai ChenDepartment of Urology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, 212000 Jiangsu People's Republic of China.
Chengyue WangDepartment of Urology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, 212000 Jiangsu People's Republic of China.
Jin ZhangDepartment of General Surgery, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, Jiangsu People's Republic of China.
Yang ZhouDepartment of Urology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, 212000 Jiangsu People's Republic of China.
Wei Hu3Department of Andrology, The First Affiliated Hospital of University of South China, No. 69 Chuan Shan Road, Hengyang, 421001 Hunan People's Republic of China.
Tao GuoDepartment of Urology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, 212000 Jiangsu People's Republic of China.
Jiangsu University · CNAffiliated Hospital of Jiangsu University · CNFirst Affiliated Hospital of University of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence suggests a critical role for long noncoding RNAs (LncRNAs) and pseudogenes in cancer. Renal cell carcinoma (RCC), the most common primary renal neoplasm, is highly aggressive and difficult to treat because of its resistance to chemotherapy and radiotherapy. Despite many identified LncRNAs and pseudogenes, few have been clearly elucidated.

methodsThis study provides new insights into LncRNAs and pseudogenes in the prognosis of RCC. We searched an online database to interrogate alterations and clinical data on cBioPortal. We analysed LncRNA and pseudogene signatures to predict the prognosis of RCC based on a Cox model. We also found potential serum biomarkers of RCC and validated them in 32 RCC patients, as well as healthy controls.

resultsAlterations were found in 2553 LncRNAs and 8901 pseudogenes and occurred in up to 23% of all cases. Among these, 27 LncRNAs and 45 pseudogenes were closely related to prognosis. We also identified signatures of LncRNAs and pseudogenes that can predict overall survival and recurrence of RCC. We then validated the relative levels of these LncRNAs and pseudogenes in the serum of 32 patients. Six of these, including LINC00520, PIK3CD-AS1, LINC01559, CEACAM22P, MSL3P1 and TREML3P, could be non-invasive biomarkers of RCC. Finally, we selected PIK3CD-AS1 to determine its role in RCC and found that upregulation of PIK3CD-AS1 was closely associated with higher tumour stage and metastasis.

conclusionsThese signatures of LncRNAs and pseudogenes can predict overall survival and recurrence of RCC. LINC00520, PIK3CD-AS1, LINC01559, CEACAM22P, MSL3P1 and TREML3P could be non-invasive biomarkers of RCC. These data suggest the important roles of LncRNAs and pseudogenes in RCC, and therefore provides us new insights into the prognosis of RCC.

Indexed as

BiomarkercBioPortalLong noncoding RNAOverall survivalPIK3CD-AS1PseudogenesRecurrenceRenal cell carcinomaSignature

Identifiers

PMID30337839
PMCPMC6180637
OpenAlexW2896045913

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LicenceCC BY
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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.