Evidence map›Paper›PMID 21321566›Full record

ReviewNature reviews. Clinical oncology2011

Implementing prognostic and predictive biomarkers in CRC clinical trials.

Sandra Van Schaeybroeck, Wendy L Allen, Richard C Turkington, Patrick G Johnston

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

76 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. Non-coding RNAS and colorectal cancer liver metastasis.Molecular and cellular biochemistry · 2020
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16 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

4 authors.

Sandra Van SchaeybroeckDrug Resistance Group, Centre for Cancer Research and Cell Biology, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7BL, Northern Ireland.
Wendy L Allen
Richard C Turkington
Patrick G Johnston

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, several protein and genomic markers have refined the prognostic information of colorectal cancer (CRC) and helped to predict which patient group may benefit most from systemic treatment or targeted therapies. Of all these markers, KRAS represents the first biomarker integrated into clinical practice for CRC. Microarray-based gene-expression profiling has been used to identify prognostic signatures and to a lesser degree predictive signatures in CRC; however, common challenges with these types of studies are clinical study design, reproducibility, interpretation and reporting of the results. We focus on the clinical application of a range of published prognostic and predictive protein and genomic markers in CRC and discuss the different challenges associated with microarray-based gene-expression profiling. While none of these genomic signatures is currently in routine clinical use in CRC, novel adaptive clinical trial designs that incorporate putative genomic prognostic/predictive markers in prospective randomized trials, will enable a clinical validation of these markers and may facilitate the implementation of these biomarkers into routine medical practice.

Indexed as

Antineoplastic AgentsBiomarkers, TumorClinical Trials as TopicColorectal NeoplasmsDrug Resistance, NeoplasmHumansPrognosisResearch DesignAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID21321566

What OpenQuestion holds

Textmetadata
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.