Evidence map›Paper›PMID 24885112›Full record

Trial reportBMC cancer2014

Correlating tumor metabolic progression index measured by serial FDG PET-CT, apparent diffusion coefficient measured by magnetic resonance imaging (MRI) and blood genomics to patient's outcome in advanced colorectal cancer: the CORIOLAN study.

Amelie Deleporte, Marianne Paesmans, Camilo Garcia, Caroline Vandeputte, Marc Lemort, Jean-Luc Engelholm, Frederic Hoerner, Philippe Aftimos, Ahmad Awada, Nicolas Charette and 4 more

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01591590 (Correlating the Tumoral Metabolic Progression Index Measured by Serial FDG PET-CT and Apparent Diffusion Coefficient Measured by MRI to Patient's Outcome in Advanced Colorectal Cancer), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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.

NCT01591590 nacompletednot on this map

Correlating the Tumoral Metabolic Progression Index Measured by Serial FDG PET-CT and Apparent Diffusion Coefficient Measured by MRI to Patient's Outcome in Advanced Colorectal Cancer

TypeinterventionalSponsorJules Bordet InstituteRan2012 to 2021Enrolled53ConditionsColorectal CancerArmsFDG PET-CT, Diffusion MRI, Blood samples (plasma preparation and CTC)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Development and Validation of anJCO clinical cancer informatics · 2025
    Article
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

14 authors at 2 institutions in 1 country.

Amelie DeleporteMedicine Department, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium. amelie.deleporte@bordet.be.
Marianne Paesmans
Camilo Garcia
Caroline Vandeputte
Marc Lemort
Jean-Luc Engelholm
Frederic Hoerner
Philippe Aftimos
Ahmad Awada
Nicolas Charette
Godelieve Machiels
Martine Piccart
Patrick Flamen
Alain Hendlisz
Institut Jules Bordet · BEUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic colorectal cancer (mCRC) may present various behaviours that define different courses of tumor evolution. There is presently no available tool designed to assess tumor aggressiveness, despite the fact that this is considered to have a major impact on patient outcome. METHODS/

designCORIOLAN is a single-arm prospective interventional non-therapeutic study aiming mainly to assess the natural tumor metabolic progression index (TMPI) measured by serial FDG PET-CT without any intercurrent antitumor therapy as a prognostic factor for overall survival (OS) in patients with mCRC.Secondary objectives of the study aim to test the TMPI as a prognostic marker for progression-free survival (PFS), to assess the prognostic value of baseline tumor FDG uptake on PFS and OS, to compare TMPI to classical clinico-biological assessment of prognosis, and to test the prognostic value on OS and PFS of MRI-based apparent diffusion coefficient (ADC) and variation of vADC using voxel-based diffusion maps.Additionally, this study intends to identify genomic and epigenetic factors that correlate with progression of tumors and the OS of patients with mCRC. Consequently, this analysis will provide information about the signaling pathways that determine the natural and therapy-free course of the disease. Finally, it would be of great interest to investigate whether in a population of patients with mCRC, for which at present no known effective therapy is available, tumor aggressiveness is related to elevated levels of circulating tumor cells (CTCs) and to patient outcome. DISCUSSION: Tumor aggressiveness is one of the major determinants of patient outcome in advanced disease. Despite its importance, supported by findings reported in the literature of extreme outcomes for patients with mCRC treated with chemotherapy, no objective tool allows clinicians to base treatment decisions on this factor. The CORIOLAN study will characterize TMPI using FDG-PET-based metabolic imaging of patients with chemorefractory mCRC during a period of time without treatment. Results will be correlated to other assessment tools like DW-MRI, CTCs and circulating DNA, with the aim to provide usable tools in daily practice and in clinical studies in the future. ClinicalTrials.gov Number: NCT01591590.

Indexed as

Diffusion Magnetic Resonance ImagingDisease ProgressionPositron-Emission TomographyAged, 80 and overColorectal NeoplasmsDisease-Free SurvivalFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedNeoplasm StagingNeoplastic Cells, CirculatingPrognosisTreatment OutcomeFluorodeoxyglucose F18

Identifiers

PMID24885112
PMCPMC4051382
OpenAlexW2061436958

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.