Evidence map›Paper›PMID 25110411›Full record

ArticleWorld journal of gastroenterology2014

Beyond KRAS: Predictive factors of the efficacy of anti-EGFR monoclonal antibodies in the treatment of metastatic colorectal cancer.

Alfonso De Stefano, Chiara Carlomagno

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.8field-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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
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  5. Clinical Medicine Insights. Oncology · 2024
    Review
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  9. Effect ofOncology letters · 2020
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  18. Tumour heterogeneity: principles and practical consequences.Virchows Archiv : an international journal of pathology · 2016
    Review
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  20. 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

2 authors at 1 institution in 1 country.

Alfonso De StefanoAlfonso De Stefano, Chiara Carlomagno, Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.
Chiara CarlomagnoAlfonso De Stefano, Chiara Carlomagno, Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.
Federico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic analysis of the epidermal growth factor receptor (EGFR) pathway revealed that biomarkers could be used to predict the response to and outcome of anti-EGFR therapies in patients affected by metastatic colorectal cancer. We have conducted a review on the most recent findings and advances on this topic. To this aim, we searched the PubMed database for articles devoted to predictive and prognostic biomarkers for patients administered cetuximab- and panitumumab-based therapies. Here we review the state of the art and the controversies about the molecular factors known to be predictors of the efficacy of anti-EGFR therapy, namely, KRAS, BRAF, NRAS, PI3KCA and PTEN, and we discuss their prognostic value in colorectal cancer patients.

Indexed as

Biomarkers, TumorMutationAnimalsAntibodies, MonoclonalAntineoplastic AgentsColorectal NeoplasmsErbB ReceptorsGenetic Predisposition to DiseaseGenetic TestingHumansPatient SelectionPhenotypePrecision MedicinePredictive Value of TestsProtein Kinase InhibitorsProto-Oncogene ProteinsAntibodies, MonoclonalAntineoplastic AgentsBiomarkers, TumorEGFR protein, humanErbB ReceptorsKRAS protein, humanProtein Kinase InhibitorsProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsAnti-epidermal growth factor receptorBiomarkersKRASMetastatic colorectal cancer

Identifiers

PMID25110411
PMCPMC4123362
OpenAlexW2098462873

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.