Evidence map›Paper›PMID 24308539›Full record

ArticleBMC medical genomics2013

Systematic genomic identification of colorectal cancer genes delineating advanced from early clinical stage and metastasis.

Hojoon Lee, Patrick Flaherty, Hanlee P Ji

Abstract read
In one paragraph

Article in BMC medical genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  8. Frontiers in oncology · 2021
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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.

Hojoon Lee
Patrick Flaherty
Hanlee P JiDivision of Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA. genomics_ji@stanford.edu.

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Functional Analysis of Oncogenic Networks in Primary OrganoidsU01CA176299 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P, KUO, CALVIN J · 2013 to 2016
$3.6M
Integrated Genomic Discovery and Functional Validation of Colorectal Cancer LociU01CA151920 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P, KUO, CALVIN J · 2011 to 2015
$2.6M
Postdoctoral Training in the Radiation ScincesT32CA121940 · NCI · STANFORD UNIVERSITY · PI GRAVES, EDWARD E. · 2007 to 2018
$2.1M
Howard Hughes Medical InstituteNCI NIH HHS 1U01CA15192001-A1NCI NIH HHS 1U01CA176299NCI NIH HHS T32 CA121940NCI NIH HHS U01 CA151920NCI NIH HHS U01 CA176299NHGRI NIH HHS P01 HG000205NHGRI NIH HHS P01HG000205
6 · The paper itself

Abstract

backgroundColorectal cancer is the third leading cause of cancer deaths in the United States. The initial assessment of colorectal cancer involves clinical staging that takes into account the extent of primary tumor invasion, determining the number of lymph nodes with metastatic cancer and the identification of metastatic sites in other organs. Advanced clinical stage indicates metastatic cancer, either in regional lymph nodes or in distant organs. While the genomic and genetic basis of colorectal cancer has been elucidated to some degree, less is known about the identity of specific cancer genes that are associated with advanced clinical stage and metastasis.

methodsWe compiled multiple genomic data types (mutations, copy number alterations, gene expression and methylation status) as well as clinical meta-data from The Cancer Genome Atlas (TCGA). We used an elastic-net regularized regression method on the combined genomic data to identify genetic aberrations and their associated cancer genes that are indicators of clinical stage. We ranked candidate genes by their regression coefficient and level of support from multiple assay modalities.

resultsA fit of the elastic-net regularized regression to 197 samples and integrated analysis of four genomic platforms identified the set of top gene predictors of advanced clinical stage, including: WRN, SYK, DDX5 and ADRA2C. These genetic features were identified robustly in bootstrap resampling analysis.

conclusionsWe conducted an analysis integrating multiple genomic features including mutations, copy number alterations, gene expression and methylation. This integrated approach in which one considers all of these genomic features performs better than any individual genomic assay. We identified multiple genes that robustly delineate advanced clinical stage, suggesting their possible role in colorectal cancer metastatic progression.

Indexed as

Colorectal NeoplasmsGenetic VariationGenomicsHumansInternetMicrosatellite InstabilityNeoplasm MetastasisNeoplasm StagingRegression Analysis

Identifiers

PMID24308539
PMCPMC3907018

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.