Evidence map›Paper›PMID 30563495›Full record

ArticleBMC cancer2018

Gene expression profiles in genome instability-based classes of colorectal cancer.

Vincenza Barresi, Giacomo Cinnirella, Giovanna Valenti, Giorgia Spampinato, Nicolò Musso, Sergio Castorina, Daniele F Condorelli

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. Review
  6. Effects of PIM3 in prognosis of colon cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
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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 1 institution in 1 country.

Vincenza BarresiDepartment of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Viale Santa Sofia 89-97, 95123, Catania, Italy. barregi@unict.it.ORCID http://orcid.org/0000-0003-1183-6981
Giacomo CinnirellaDepartment of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Viale Santa Sofia 89-97, 95123, Catania, Italy.
Giovanna ValentiDepartment of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Viale Santa Sofia 89-97, 95123, Catania, Italy.
Giorgia SpampinatoDepartment of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Viale Santa Sofia 89-97, 95123, Catania, Italy.
Nicolò MussoDepartment of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Viale Santa Sofia 89-97, 95123, Catania, Italy.
Sergio CastorinaDepartment of Surgical Medical Sciences and Advanced Technologies "G. F. Ingrassia", University of Catania, Catania, Italy.
Daniele F CondorelliDepartment of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Viale Santa Sofia 89-97, 95123, Catania, Italy. daniele.condorelli@unict.it.
University of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBroad copy number aberrations (BCNAs) represent a common form of genome instability in colorectal cancer (CRC). CRCs show large variations in their level of aneuploidy: microsatellite-instable (MSI) tumors are known to have a near-diploid karyotype while microsatellite-stable (MSS) tumors show high level of chromosomal instability. However, MSS tumors have great heterogeneity in the number of BCNAs, with a minor percentage of samples showing an almost normal karyotype. In the present work we subdivided MSS CRCs according to a "BCNA score" and characterized their transcriptome profiles, considered as a proxy to their phenotypic features.

methodsMicrosatellite testing, genome-wide DNA copy number and whole-transcript expression analysis (HTA) were performed on 33 tumor samples and 25 normal colonic tissue samples from 32 CRC patients. 15.1% of the samples were MSI tumors (n = 5), whereas 84.9% were MSS tumors (n = 28). Gene expression data of 34 additional MSI tumors was retrieved from a public functional genomics data repository.

resultsUsing as a threshold the first quartile of the BCNA score distribution, MSS samples were classified as low-BCNA (LB, n = 7) or high-BCNA (HB, n = 21). LB tumors were enriched for mucinous CRCs and their gene-expression profile resembled that of MSI samples for what concerns a subset of genes involved in secretory processes, mucosal protection, and extracellular matrix remodeling. HB tumors were predominantly non-mucinous adenocarcinomas and showed overexpression of a subset of genes typical of surface colonocytes and EGF signaling. A large percentage of unclassified samples according to the consensus molecular subtypes (CMS) classifier was found in the LB group (43%), whereas 76% HB tumors belonged to CMS2.

conclusionsA classification of colorectal tumors based on the number of BCNAs identifies two groups of MSS tumors which differ for histopathology and gene expression profile. Such information can be exploited for its translational relevance in different aspects of CRC clinical management.

Indexed as

AgedChromosomal InstabilityColonColorectal NeoplasmsDNA Copy Number VariationsFemaleGene Expression Regulation, NeoplasticGenomic InstabilityHumansMaleMicrosatellite InstabilityMiddle AgedTranscriptomeBroad copy number aberrationsColorectal cancerConsensus molecular subtypesGene expression profilesMucinous colorectal tumors

Identifiers

PMID30563495
PMCPMC6299572
OpenAlexW2904924876

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.