Evidence map›Paper›PMID 32231042›Full record

ReviewCancers2020

Personalized Medicine-Current and Emerging Predictive and Prognostic Biomarkers in Colorectal Cancer.

Christine Koulis, Raymond Yap, Rebekah Engel, Thierry Jardé, Simon Wilkins, Gemma Solon, Jeremy D Shapiro, Helen Abud, Paul McMurrick

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  6. Mortality Outcome Associated with SpecificDiagnostics (Basel, Switzerland) · 2025
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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 3 institutions in 1 country.

Christine KoulisCabrini Monash University Department of Surgery, Cabrini Health, Malvern 3144, VIC, Australia.ORCID 0000-0002-3651-7621
Raymond YapCabrini Monash University Department of Surgery, Cabrini Health, Malvern 3144, VIC, Australia.
Rebekah EngelCabrini Monash University Department of Surgery, Cabrini Health, Malvern 3144, VIC, Australia.
Thierry JardéDepartment of Anatomy and Developmental Biology, Monash University, Clayton 3800, VIC, Australia.ORCID 0000-0001-7483-8672
Simon WilkinsCabrini Monash University Department of Surgery, Cabrini Health, Malvern 3144, VIC, Australia.
Gemma SolonCabrini Monash University Department of Surgery, Cabrini Health, Malvern 3144, VIC, Australia.
Jeremy D ShapiroCabrini Haematology and Oncology Centre, Cabrini Health, Malvern 3144, VIC, Australia.
Helen AbudDepartment of Anatomy and Developmental Biology, Monash University, Clayton 3800, VIC, Australia.
Paul McMurrickCabrini Monash University Department of Surgery, Cabrini Health, Malvern 3144, VIC, Australia.
Cabrini Hospital · AUHudson Institute of Medical Research · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common cancer diagnosed worldwide and is heterogeneous both morphologically and molecularly. In an era of personalized medicine, the greatest challenge is to predict individual response to therapy and distinguish patients likely to be cured with surgical resection of tumors and systemic therapy from those resistant or non-responsive to treatment. Patients would avoid futile treatments, including clinical trial regimes and ultimately this would prevent under- and over-treatment and reduce unnecessary adverse side effects. In this review, the potential of specific biomarkers will be explored to address two key questions-1) Can the prognosis of patients that will fare well or poorly be determined beyond currently recognized prognostic indicators? and 2) Can an individual patient's response to therapy be predicted and those who will most likely benefit from treatment/s be identified? Identifying and validating key prognostic and predictive biomarkers and an understanding of the underlying mechanisms of drug resistance and toxicity in CRC are important steps in order to personalize treatment. This review addresses recent data on biological prognostic and predictive biomarkers in CRC. In addition, patient cohorts most likely to benefit from currently available systemic treatments and/or targeted therapies are discussed in this review.

Indexed as

biomarkerscolorectal cancerconsensus molecular subtypesorganoidpredictiveprognostic

Identifiers

PMID32231042
PMCPMC7225926
OpenAlexW3013423366

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.