Evidence map›Paper›PMID 38886487›Full record

ArticleScientific reports2024

Homeobox and Polycomb target gene methylation in human solid tumors.

Reid Blanchett, Kin H Lau, Gerd P Pfeifer

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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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

3 authors.

Reid BlanchettDepartment of Epigenetics, Van Andel Institute, 333 Bostwick Ave. NE, Grand Rapids, MI, 49503, USA.
Kin H LauBioinformatics and Biostatistics Core, Van Andel Institute, Grand Rapids, MI, USA.
Gerd P PfeiferDepartment of Epigenetics, Van Andel Institute, 333 Bostwick Ave. NE, Grand Rapids, MI, 49503, USA. gerd.pfeifer@vai.org.

Funding

Cancer Epigenetics Training (CET) ProgramT32CA251066 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI Scott Rothbart · 2021 to 2026
$2.4M
DNA hypermethylation in lung tumorsR01CA234595 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI PFEIFER, GERD P · 2019 to 2023
$2.4M
NCI NIH HHS R01 CA234595NCI NIH HHS T32 CA251066NIH HHS CA234595NIH HHS T32CA251066
6 · The paper itself

Abstract

DNA methylation is an epigenetic mark that plays an important role in defining cancer phenotypes, with global hypomethylation and focal hypermethylation at CpG islands observed in tumors. These methylation marks can also be used to define tumor types and provide an avenue for biomarker identification. The homeobox gene class is one that has potential for this use, as well as other genes that are Polycomb Repressive Complex 2 targets. To begin to unravel this relationship, we performed a pan-cancer DNA methylation analysis using sixteen Illumina HM450k array datasets from TCGA, delving into cancer-specific qualities and commonalities between tumor types with a focus on homeobox genes. Our comparisons of tumor to normal samples suggest that homeobox genes commonly harbor significant hypermethylated differentially methylated regions. We identified two homeobox genes, HOXA3 and HOXD10, that are hypermethylated in all 16 cancer types. Furthermore, we identified several potential homeobox gene biomarkers from our analysis that are uniquely methylated in only one tumor type and that could be used as screening tools in the future. Overall, our study demonstrates unique patterns of DNA methylation in multiple tumor types and expands on the interplay between the homeobox gene class and oncogenesis.

Indexed as

DNA MethylationHomeodomain ProteinsNeoplasmsBiomarkers, TumorCpG IslandsEpigenesis, GeneticGene Expression Regulation, NeoplasticGenes, HomeoboxHumansPolycomb-Group ProteinsTranscription FactorsBiomarkers, TumorHomeodomain ProteinsHOXA3 protein, humanPolycomb-Group ProteinsTranscription Factors

Identifiers

PMID38886487
PMCPMC11183203

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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.