Evidence map›Paper›PMID 34997048›Full record

ArticleScientific reports2022

Comprehensive quantitative analysis of alternative splicing variants reveals the HNF1B mRNA splicing pattern in various tumour and non-tumour tissues.

Jan Hojny, Romana Michalkova, Eva Krkavcova, Quang Hiep Bui, Michaela Bartu, Kristyna Nemejcova, Marta Kalousova, Petra Kleiblova, Pavel Dundr, Ivana Struzinska

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Clinical kidney journal · 2026
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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

10 authors at 2 institutions in 1 country.

Jan HojnyInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic.
Romana MichalkovaInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic.
Eva KrkavcovaInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic.
Quang Hiep BuiInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic.
Michaela BartuInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic.
Kristyna NemejcovaInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic.
Marta KalousovaInstitute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Kateřinská 32, 121 08, Prague 2, Czech Republic.
Petra KleiblovaInstitute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Albertov 4, 128 00, Prague 2, Czech Republic.
Pavel DundrInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic.
Ivana StruzinskaInstitute of Pathology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Studničkova 2, 12800, Prague 2, Czech Republic. ivana.struzinska@vfn.cz.
Charles University · CZGeneral University Hospital in Prague · CZ

Funding

European Regional Development Fund CZ.02.1.01/0.0/0.0/18_046/ 0015959Ministerstvo Zdravotnictví Ceské Republiky 64165Univerzita Karlova v Praze 204065
6 · The paper itself

Abstract

Hepatocyte nuclear factor-1-beta (HNF1B) is a transcription factor and putative biomarker of solid tumours. Recently, we have revealed a variety of HNF1B mRNA alternative splicing variants (ASVs) with unknown, but potentially regulatory, functions. The aim of our work was to quantify the most common variants and compare their expression in tumour and non-tumour tissues of the large intestine, prostate, and kidney. The HNF1B mRNA variants 3p, Δ7, Δ7-8, and Δ8 were expressed across all the analysed tissues in 28.2-33.5%, 1.5-2%, 0.8-1.7%, and 2.3-6.9% of overall HNF1B mRNA expression, respectively, and occurred individually or in combination. The quantitative changes of ASVs between tumour and non-tumour tissue were observed for the large intestine (3p, Δ7-8), prostate (3p), and kidney samples (Δ7). Decreased expression of the overall HNF1B mRNA in the large intestine and prostate cancer samples compared with the corresponding non-tumour samples was observed (p = 0.019 and p = 0.047, respectively). The decreased mRNA expression correlated with decreased protein expression in large intestine carcinomas (p < 0.001). The qualitative and quantitative pattern of the ASVs studied by droplet digital PCR was confirmed by next-generation sequencing, which suggests the significance of the NGS approach for further massive evaluation of the splicing patterns in a variety of genes.

Indexed as

Alternative SplicingBiomarkers, TumorGene Expression Regulation, NeoplasticHepatocyte Nuclear Factor 1-betaHigh-Throughput Nucleotide SequencingHumansNeoplasmsPolymerase Chain ReactionProtein IsoformsRetrospective StudiesRNA, MessengerRNA, NeoplasmBiomarkers, TumorHepatocyte Nuclear Factor 1-betaHNF1B protein, humanProtein IsoformsRNA, MessengerRNA, Neoplasm

Identifiers

PMID34997048
PMCPMC8741901
OpenAlexW4206043051

What OpenQuestion holds

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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.