Evidence map›Paper›PMID 27153559›Full record

ArticleOncotarget2016

Stratified analysis reveals chemokine-like factor (CKLF) as a potential prognostic marker in the MSI-immune consensus molecular subtype CMS1 of colorectal cancer.

Philip D Dunne, Paul G O'Reilly, Helen G Coleman, Ronan T Gray, Daniel B Longley, Patrick G Johnston, Manuel Salto-Tellez, Mark Lawler, Darragh G McArt

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06108310 (ATTRACT - ArTificial inTelligence-based RAdiogenomics in Colon Tumors), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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.

NCT06108310 unknown statusnot on this mapstarted 2021, after this paper: background citation

ATTRACT - ArTificial inTelligence-based RAdiogenomics in Colon Tumors

TypeobservationalSponsorUniversity of Roma La SapienzaRan2021 to 2025Enrolled500ConditionsColon Cancer Stage II, Colon Cancer Stage III
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

9 authors at 1 institution in 1 country.

Philip D DunneCentre for Cancer Research and Cell Biology, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Paul G O'ReillyCentre for Cancer Research and Cell Biology, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Helen G ColemanCentre for Public Health, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Ronan T GrayCentre for Public Health, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Daniel B LongleyCentre for Cancer Research and Cell Biology, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Patrick G JohnstonCentre for Cancer Research and Cell Biology, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Manuel Salto-TellezCentre for Cancer Research and Cell Biology, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Mark LawlerCentre for Cancer Research and Cell Biology, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Darragh G McArtCentre for Cancer Research and Cell Biology, Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Queen's University Belfast · GB

Funding

Cancer Research UK 13721Cancer Research UK 15333Cancer Research UK 17592
6 · The paper itself

Abstract

The Colorectal Cancer (CRC) Subtyping Consortium (CRCSC) recently published four consensus molecular subtypes (CMS's) representing the underlying biology in CRC. The Microsatellite Instable (MSI) immune group, CMS1, has a favorable prognosis in early stage disease, but paradoxically has the worst prognosis following relapse, suggesting the presence of factors enabling neoplastic cells to circumvent this immune response. To identify the genes influencing subsequent poor prognosis in CMS1, we analyzed this subtype, centered on risk of relapse. In a cohort of early stage colon cancer (n=460), we examined, in silico, changes in gene expression within the CMS1 subtype and demonstrated for the first time the favorable prognostic value of chemokine-like factor (CKLF) gene expression in the adjuvant disease setting [HR=0.18, CI=0.04-0.89]. In addition, using transcription profiles originating from cell sorted CRC tumors, we delineated the source of CKLF transcription within the colorectal tumor microenvironment to the leukocyte component of these tumors. Further to this, we confirmed that CKLF gene expression is confined to distinct immune subsets in whole blood samples and primary cell lines, highlighting CKLF as a potential immune cell-derived factor promoting tumor immune-surveillance of nascent neoplastic cells, particularly in CMS1 tumors. Building on the recently reported CRCSC data, we provide compelling evidence that leukocyte-infiltrate derived CKLF expression is a candidate biomarker of favorable prognosis, specifically in MSI-immune stage II/III disease.

Indexed as

Gene Expression Regulation, NeoplasticMicrosatellite InstabilityAgedAged, 80 and overBiomarkers, TumorChemokinesColorectal NeoplasmsConsensusFemaleGene Expression ProfilingHumansKaplan-Meier EstimateLeukocytesMaleMARVEL Domain-Containing ProteinsMiddle AgedBiomarkers, TumorChemokinesCKLF protein, humanMARVEL Domain-Containing Proteinschemokine-like factorcolorectal cancergene expression profilingmolecular stratificationrelapse risk

Identifiers

PMID27153559
PMCPMC5095027
OpenAlexW2346922868

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.