Evidence map›Paper›PMID 29113238›Full record

ArticleOncology letters2017

Selection of reference genes for gene expression studies in human bladder cancer using SYBR-Green quantitative polymerase chain reaction.

Chuanxia Zhang, Yong Qiang Wang, Guangyi Jin, Song Wu, Jun Cui, Rong-Fu Wang

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Chuanxia ZhangKey Laboratory of Gene Engineering of The Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, P.R. China.
Yong Qiang WangDepartment of Urology, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, Guangdong 510060, P.R. China.
Guangyi JinShenzhen Key Laboratory of Translational Medicine of Tumor, Cancer Research Center, School of Medicine, Shenzhen University, Shenzhen, Guangdong 518060, P.R. China.
Song WuDepartment of Urological Surgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Guangzhou, Guangdong 510275, P.R. China.
Jun CuiKey Laboratory of Gene Engineering of The Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, P.R. China.
Rong-Fu WangCenter for Inflammation and Epigenetics, Houston Methodist Research Institute, Houston, TX 77030, USA.
Sun Yat-sen University · CNHouston Methodist · USShenzhen Second People's Hospital · CNShenzhen University · CNState Key Laboratory of Oncology in South China

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is a rapid, reliable and widely used method of studying gene expression profiles that requires appropriate normalization for accurate and reliable results. Reference genes are usually used to normalize mRNA levels; however, the expression levels of these reference genes may vary between cell types, developmental stages, species and experimental conditions. Therefore, a normalization strategy is an important precondition for reliable conclusions, with endogenous controls requiring determination for every experimental system. In the present study, 18 reference genes used in various prior studies were analyzed to determine their applicability in bladder cancer. A total of 35 matched malignant and non-malignant bladder cancer (specifically transitional cell carcinoma) tissue specimens were examined. RNA and cDNA quality was stringently controlled. Candidate reference genes were assessed using SYBR-Green RT-qPCR. mRNA abundance was compared and reference genes with distinct ranges of expression to possible target genes were excluded. Genes that were differentially expressed in matched non-cancerous and cancerous samples were also excluded, using quantification cycle analysis. Subsequently, the stability of the selected reference genes was analyzed using three different methods: geNorm, NormFinder and BestKeeper. The rarely used ribosomal protein S23 (RPS23) was the most stable single reference gene, with RPS23, tumor protein, translationally controlled 1 and RPS13 comprising the optimal reference gene set for all the bladder samples. These stable reference genes should be employed in normalization and quantification of transcript levels in future expression studies of bladder cancer-associated genes.

Indexed as

biomarkerbladder cancerquantification cycle valuereference geneSYBR Green quantitative polymerase chain reaction

Identifiers

PMID29113238
PMCPMC5661485
OpenAlexW2755706804

What OpenQuestion holds

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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.