Evidence map›Paper›PMID 30477151›Full record

ReviewInternational journal of molecular sciences2018

Heterogeneity in Colorectal Cancer: A Challenge for Personalized Medicine?

Chiara Molinari, Giorgia Marisi, Alessandro Passardi, Laura Matteucci, Giulia De Maio, Paola Ulivi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 5 pooled it
7.8field-weighted citation impact, top 2% 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

147 citing papers in PubMed, 5 syntheses or guidelines pooled it, 265 citations in OpenAlex.

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  6. Trial
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  9. Interrogating the Mechanistic Link between Neighborhood Deprivation and Colorectal Cancer Risk through Transcriptomic Analysis of Normal Colorectal Biopsies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  11. Prognostic model construction and drug prediction in colorectal cancer using mitochondrial programmed cell death-related genes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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87 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Chiara MolinariBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy. chiara.molinari@irst.emr.it.
Giorgia MarisiBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy. giorgia.marisi@irst.emr.it.
Alessandro PassardiDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy. alessandro.passardi@irst.emr.it.ORCID 0000-0002-7099-240X
Laura MatteucciDepartment of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy. laura.matteucci@irst.emr.it.
Giulia De MaioBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy. giulia.demaio86@gmail.com.
Paola UliviBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014 Meldola, Italy. paola.ulivi@irst.emr.it.
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High inter-patient variability and high spatial heterogeneity are features of colorectal cancer (CRC). This may influence the molecular characterization of tumor tissue, now mandatory for patients with metastatic CRC who are candidates for treatment with an anti-EGFR mAb, as false-negative results can occur, leading to non optimal therapy. Moreover, temporal molecular heterogeneity during treatment is known to influence the response to therapy and prognosis. We present a literature overview of advances made in characterizing molecular heterogeneity in CRC, underlining that the analysis of liquid biopsy could represent an efficient non-invasive tool to overcome the problem. We believe that understanding CRC heterogeneity is fundamental for a more accurate diagnosis, for selecting the best targets to ensure prolonged antitumor response, and for monitoring minimal residual disease and the onset of resistance to therapy, all essential components of successful personalized treatment.

Indexed as

Biological Variation, IndividualBiomarkers, TumorColorectal NeoplasmsGenetic HeterogeneityHumansLiquid BiopsyMolecular Diagnostic TechniquesNeoplasm MetastasisNeoplasm StagingPrecision MedicineBiomarkers, TumorcfDNAcolorectal cancerheterogeneityliquid biopsymetastasisresponse to therapytumor tissue

Identifiers

PMID30477151
PMCPMC6321493
OpenAlexW2901481287

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.