Evidence map›Paper›PMID 25184754›Full record

ArticlePloS one2014

Unambiguous detection of multiple TP53 gene mutations in AAN-associated urothelial cancer in Belgium using laser capture microdissection.

Selda Aydin, Anne-France Dekairelle, Jérôme Ambroise, Jean-François Durant, Michel Heusterspreute, Yves Guiot, Jean-Pierre Cosyns, Jean-Luc Gala

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Selda AydinDepartment of Pathology, Cliniques Universitaires Saint-Luc (CUSL), Université Catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Brussels, Belgium.
Anne-France DekairelleCenter for Applied Molecular Technologies (CTMA), Cliniques Universitaires Saint-Luc (CUSL), Université Catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Brussels, Belgium.
Jérôme AmbroiseCenter for Applied Molecular Technologies (CTMA), Cliniques Universitaires Saint-Luc (CUSL), Université Catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Brussels, Belgium.
Jean-François DurantCenter for Applied Molecular Technologies (CTMA), Cliniques Universitaires Saint-Luc (CUSL), Université Catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Brussels, Belgium.
Michel HeusterspreuteCenter for Applied Molecular Technologies (CTMA), Cliniques Universitaires Saint-Luc (CUSL), Université Catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Brussels, Belgium.
Yves GuiotDepartment of Pathology, Cliniques Universitaires Saint-Luc (CUSL), Université Catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Brussels, Belgium.
Jean-Pierre Cosyns
Jean-Luc GalaCenter for Applied Molecular Technologies (CTMA), Cliniques Universitaires Saint-Luc (CUSL), Université Catholique de Louvain (UCL), Institut de Recherche Expérimentale et Clinique (IREC), Brussels, Belgium.
UCLouvain · BECliniques Universitaires Saint-Luc · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Balkan and Taiwan, the relationship between exposure to aristolochic acid and risk of urothelial neoplasms was inferred from the A>T genetic hallmark in TP53 gene from malignant cells. This study aimed to characterize the TP53 mutational spectrum in urothelial cancers consecutive to Aristolochic Acid Nephropathy in Belgium. Serial frozen tumor sections from female patients (n=5) exposed to aristolochic acid during weight-loss regimen were alternatively used either for p53 immunostaining or laser microdissection. Tissue areas with at least 60% p53-positive nuclei were selected for microdissecting sections according to p53-positive matching areas. All areas appeared to be carcinoma in situ. After DNA extraction, mutations in the TP53 hot spot region (exons 5-8) were identified using nested-PCR and sequencing. False-negative controls consisted in microdissecting fresh-frozen tumor tissues both from a patient with a Li-Fraumeni syndrome who carried a p53 constitutional mutation, and from KRas mutated adenocarcinomas. To rule out false-positive results potentially generated by microdissection and nested-PCR, a phenacetin-associated urothelial carcinoma and normal fresh ureteral tissues (n=4) were processed with high laser power. No unexpected results being identified, molecular analysis was pursued on malignant tissues, showing at least one mutation in all (six different mutations in two) patients, with 13/16 exonic (nonsense, 2; missense, 11) and 3/16 intronic (one splice site) mutations. They were distributed as transitions (n=7) or transversions (n=9), with an equal prevalence of A>T and G>T (3/16 each). While current results are in line with A>T prevalence previously reported in Balkan and Taiwan studies, they also demonstrate that multiple mutations in the TP53 hot spot region and a high frequency of G>T transversion appear as a complementary signature reflecting the toxicity of a cumulative dose of aristolochic acid ingested over a short period of time.

Indexed as

AdultAristolochic AcidsBelgiumFemaleHumansLaser Capture MicrodissectionMiddle AgedPoint MutationTaiwanTumor Suppressor Protein p53Urologic Neoplasmsaristolochic acid IAristolochic AcidsTumor Suppressor Protein p53

Identifiers

PMID25184754
PMCPMC4153646
OpenAlexW2066546086

What OpenQuestion holds

Textmetadata
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.