Evidence map›Paper›PMID 36855119›Full record

ArticleBMC urology2023

RNA-seq reveals novel mechanistic targets of Livin in bladder cancer.

Xianwen Li, Chunhua Fu, Guofeng Li, Haolin He

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Xianwen LiDepartment of Urology, Shenzhen Yantian District People's Hospital, 2010 Wu Tong Road, Yantian District, Shenzhen, 518081, Guangdong Province, China. Xianwen_li@sina.com.
Chunhua FuDepartment of Intensive Care Medicine, Peking University Shenzhen Hospital, Shenzhen, China.
Guofeng LiDepartment of Urology, Shenzhen Yantian District People's Hospital, 2010 Wu Tong Road, Yantian District, Shenzhen, 518081, Guangdong Province, China.
Haolin HeDepartment of Urology, Shenzhen Yantian District People's Hospital, 2010 Wu Tong Road, Yantian District, Shenzhen, 518081, Guangdong Province, China.
Shenzhen Bao'an District People's Hospital · CNPeking University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer is a very common malignancy with a high recurrence rate. The survival of patients with muscle-invasive bladder cancer is poor, and new therapies are needed. Livin has been reported to be upregulated in bladder cancer and influence the proliferation of cancer cells. MATERIALS AND

methodsThe Livin gene in human bladder cancer cell line T24 was knocked out, and the differentially expressed genes were identified by RNA-seq and qPCR.

resultsLivin knockdown affects gene expression and has strong negative effects on some cancer-promoting pathways. Furthermore, combined with bladder cancer clinical sample data downloaded from TCGA and GEO, 2 co-up-regulated genes and 58 co-down-regulated genes were identified and validated, which were associated with cancer proliferation and invasion.

conclusionAll these results suggest that Livin plays an important role in bladder cancer and could be a potential anticancer target in clinical therapy.

Indexed as

Urinary Bladder NeoplasmsAdaptor Proteins, Signal TransducingCell LineHumansInhibitor of Apoptosis ProteinsNeoplasm ProteinsRNA-SeqAdaptor Proteins, Signal TransducingBIRC7 protein, humanInhibitor of Apoptosis ProteinsNeoplasm ProteinsBladder cancerLivinRNA-seqT24 cell

Identifiers

PMID36855119
PMCPMC9976429
OpenAlexW4322619216

What OpenQuestion holds

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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.