Evidence map›Paper›PMID 23416983›Full record

ArticleOncogene2014

Cancer driver-passenger distinction via sporadic human and dog cancer comparison: a proof-of-principle study with colorectal cancer.

J Tang, Y Li, K Lyon, J Camps, S Dalton, T Ried, S Zhao

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Oncogene, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

29 citing papers in PubMed, 40 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

7 authors at 3 institutions in 1 country.

J TangDepartment of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA, USA.
Y LiDepartment of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA, USA.
K LyonDepartment of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA, USA.
J CampsGenetics Branch, Center for Cancer Research, National Cancer Institute/NIH, Bethesda, MD, USA.
S DaltonDepartment of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA, USA.
T RiedGenetics Branch, Center for Cancer Research, National Cancer Institute/NIH, Bethesda, MD, USA.
S ZhaoDepartment of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA, USA.
University of Georgia · USCenter for Cancer Research · USNational Cancer Institute · US

Funding

UNDERSTANDING MECHANISMS OF hESC SELF-RENEWAL AND CELL FATE COMMITMENTP01GM085354 · NIGMS · UNIVERSITY OF GEORGIA · PI DALTON, STEPHEN · 2008 to 2018
$18.3M
Identification and functional characterization of colorectal cancer genesZIABC010833 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2022
$12.1M
TARGETING DEATH RECEPTOR-MEDIATED APOPTOSIS FOR HEAD AND NECK CANCERP50CA128613 · NCI · EMORY UNIVERSITY · PI ROGATKO, ANDRE · 2007 to 2011
$12.0M
Consequences of Genomic Instability and Aneuploidy on the Colorectal Cancer TranZIABC010835 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2016
$6.8M
NCI NIH HHS P50 CA128613NIGMS NIH HHS GM085354NIGMS NIH HHS P01 GM085354
6 · The paper itself

Abstract

Herein we report a proof-of-principle study illustrating a novel dog-human comparison strategy that addresses a central aim of cancer research, namely cancer driver-passenger distinction. We previously demonstrated that sporadic canine colorectal cancers (CRCs) share similar molecular pathogenesis mechanisms as their human counterparts. In this study, we compared the genome-wide copy number abnormalities between 29 human and 10 canine sporadic CRCs. This led to the identification of 73 driver candidate genes (DCGs), altered in both species, and with 27 from the whole genome and 46 from dog-human genomic rearrangement breakpoint (GRB) regions, as well as 38 passenger candidate genes (PCGs), altered in humans only and located in GRB regions. We noted that DCGs significantly differ from PCGs in every analysis conducted to assess their cancer relevance and biological functions. Importantly, although PCGs are not enriched in any specific functions, DCGs possess significantly enhanced functionality closely associated with cell proliferation and death regulation, as well as with epithelial cell apicobasal polarity establishment/maintenance. These observations support the notion that, in sporadic CRCs of both species, cell polarity genes not only contribute in preventing cancer cell invasion and spreading, but also likely serve as tumor suppressors by modulating cell growth. This pilot study validates our novel strategy and has uncovered four new potential cell polarity and colorectal tumor suppressor genes (RASA3, NUPL1, DENND5A and AVL9). Expansion of this study would make more driver-passenger distinctions for cancers with large genomic amplifications or deletions, and address key questions regarding the relationship between cancer pathogenesis and epithelial cell polarity control in mammals.

Indexed as

Genes, Tumor SuppressorAdenocarcinomaAnimalsAntineoplastic Agents, PhytogenicCell PolarityCell ProliferationColorectal NeoplasmsDogsGenetic Predisposition to DiseaseGenome-Wide Association StudyGuanine Nucleotide Exchange FactorsHCT116 CellsHumansMolecular Sequence AnnotationPaclitaxelPilot ProjectsAntineoplastic Agents, PhytogenicDENND5A protein, humanGuanine Nucleotide Exchange Factorsinositol-1,3,4,5-tetrakisphosphate receptorPaclitaxelrab GTP-Binding ProteinsReceptors, Cytoplasmic and Nuclear

Identifiers

PMID23416983
PMCPMC3932186
OpenAlexW1971024005

What OpenQuestion holds

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Read underepoch 390

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.