Evidence map›Paper›PMID 26691761›Full record

ArticleScientific reports2015

Developmental genes significantly afflicted by aberrant promoter methylation and somatic mutation predict overall survival of late-stage colorectal cancer.

Ning An, Xue Yang, Shujun Cheng, Guiqi Wang, Kaitai Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Ning AnState Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, Peking Union Medical College &Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, 100021, China.
Xue YangState Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, Peking Union Medical College &Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, 100021, China.
Shujun ChengState Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, Peking Union Medical College &Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, 100021, China.
Guiqi WangDepartment of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021, China.
Kaitai ZhangState Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, Peking Union Medical College &Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, 100021, China.

Funding

1/4 Alcohol Research Consortium in HIV-Administrative Core (ARCH-AC)U24AA020801 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI CHANDER, GEETANJALI, MCCAUL, MARY E · 2011 to 2021
$3.5M
NIAAA NIH HHS U24 AA020801
6 · The paper itself

Abstract

Carcinogenesis is an exceedingly complicated process, which involves multi-level dysregulations, including genomics (majorly caused by somatic mutation and copy number variation), DNA methylomics, and transcriptomics. Therefore, only looking into one molecular level of cancer is not sufficient to uncover the intricate underlying mechanisms. With the abundant resources of public available data in the Cancer Genome Atlas (TCGA) database, an integrative strategy was conducted to systematically analyze the aberrant patterns of colorectal cancer on the basis of DNA copy number, promoter methylation, somatic mutation and gene expression. In this study, paired samples in each genomic level were retrieved to identify differentially expressed genes with corresponding genetic or epigenetic dysregulations. Notably, the result of gene ontology enrichment analysis indicated that the differentially expressed genes with corresponding aberrant promoter methylation or somatic mutation were both functionally concentrated upon developmental process, suggesting the intimate association between development and carcinogenesis. Thus, by means of random walk with restart, 37 significant development-related genes were retrieved from a priori-knowledge based biological network. In five independent microarray datasets, Kaplan-Meier survival and Cox regression analyses both confirmed that the expression of these genes was significantly associated with overall survival of Stage III/IV colorectal cancer patients.

Indexed as

Genes, DevelopmentalKaplan-Meier EstimatePromoter Regions, GeneticAlgorithmsColorectal NeoplasmsDNA Copy Number VariationsDNA MethylationGene Expression Regulation, NeoplasticGene Regulatory NetworksGenes, NeoplasmGenomicsHumansMeta-Analysis as TopicMultivariate AnalysisMutationNeoplasm Staging

Identifiers

PMID26691761
PMCPMC4686889

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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.