Evidence map›Paper›PMID 24964857›Full record

ArticleBMC cancer2014

DNA methylation alterations of AXIN2 in serrated adenomas and colon carcinomas with microsatellite instability.

Yuta Muto, Takafumi Maeda, Koichi Suzuki, Takaharu Kato, Fumiaki Watanabe, Hidenori Kamiyama, Masaaki Saito, Kei Koizumi, Yuichiro Miyaki, Fumio Konishi and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  9. How theGastroenterology research and practice · 2018
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  13. Algorithmic methods to infer the evolutionary trajectories in cancer progression.Proceedings of the National Academy of Sciences of the United States of America · 2016
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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

13 authors at 5 institutions in 3 countries.

Yuta Muto
Takafumi Maeda
Koichi SuzukiDepartment of Surgery, Saitama Medical Center, Jichi Medical University, 1-847, Amanuma-cho, Omiya-ku, Saitama 330-8503, Japan. ksuzbnhm@yahoo.co.jp.
Takaharu Kato
Fumiaki Watanabe
Hidenori Kamiyama
Masaaki Saito
Kei Koizumi
Yuichiro Miyaki
Fumio Konishi
Sergio Alonso
Manuel Perucho
Toshiki Rikiyama
Jichi Medical University · JPJichi Medical University Saitama Medical Center · JPHamamatsu University School of Medicine · JPInstitució Catalana de Recerca i Estudis Avançats · ESInstitute of Predictive and Personalized Medicine of Cancer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent work led to recognize sessile serrated adenomas (SSA) as precursor to many of the sporadic colorectal cancers with microsatellite instability (MSI). However, comprehensive analyses of DNA methylation in SSA and MSI cancer have not been conducted.

methodsWith an array-based methylation sensitive amplified fragment length polymorphism (MS-AFLP) method we analyzed 8 tubular (TA) and 19 serrated (SSA) adenomas, and 14 carcinomas with (MSI) and 12 without (MSS) microsatellite instability. MS-AFLP array can survey relative differences in methylation between normal and tumor tissues of 9,654 DNA fragments containing all NotI sequences in the human genome.

resultsUnsupervised clustering analysis of the genome-wide hypermethylation alterations revealed no major differences between or within these groups of benign and malignant tumors regardless of their location in intergenic, intragenic, promoter, or 3' end regions. Hypomethylation was less frequent in SSAs compared with MSI or MSS carcinomas. Analysis of variance of DNA methylation between these four subgroups identified 56 probes differentially altered. The hierarchical tree of this subset of probes revealed two distinct clusters: Group 1, mostly composed by TAs and MSS cancers with KRAS mutations; and Group 2 with BRAF mutations, which consisted of cancers with MSI and MLH1 methylation (Group 2A), and SSAs without MLH1 methylation (Group 2B). AXIN2, which cooperates with APC and β-catenin in Wnt signaling, had more methylation alterations in Group 2, and its expression levels negatively correlated with methylation determined by bisulfite sequencing. Within group 2B, low and high AXIN2 expression levels correlated significantly with differences in size (P = 0.01) location (P = 0.05) and crypt architecture (P = 0.01).

conclusionsSomatic methylation alterations of AXIN2, associated with changes in its expression, stratify SSAs according to some clinico-pathological differences. We conclude that hypermethylation of MLH1, when occurs in an adenoma cell with BRAF oncogenic mutational activation, drives the pathway for MSI cancer by providing the cells with a mutator phenotype. AXIN2 inactivation may contribute to this tumorigenic pathway either by mutator phenotype driven frameshift mutations or by epigenetic deregulation contemporary with the unfolding of the mutator phenotype.

Indexed as

Adaptor Proteins, Signal TransducingAdenomaAgedAged, 80 and overAxin ProteinCarcinomaColonic NeoplasmsDNA MethylationEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansMaleMicrosatellite InstabilityMiddle AgedMutL Protein Homolog 1Adaptor Proteins, Signal TransducingAXIN2 protein, humanAxin ProteinBRAF protein, humanMLH1 protein, humanMutL Protein Homolog 1Nuclear ProteinsProto-Oncogene Proteins B-raf

Identifiers

PMID24964857
PMCPMC4099028
OpenAlexW2007990146

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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.