Evidence map›Paper›PMID 25142842›Full record

ReviewThe oncologist2014

How prognostic and predictive biomarkers are transforming our understanding and management of advanced gastric cancer.

Christina Kim, Karen Mulder, Jennifer Spratlin

Open access · bronzeAbstract readReview
In one paragraph

Review in The oncologist, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  9. Observational
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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

3 authors at 1 institution in 1 country.

Christina KimCross Cancer Institute, Edmonton, Alberta, Canada christinakim3@gmail.com.
Karen MulderCross Cancer Institute, Edmonton, Alberta, Canada.
Jennifer SpratlinCross Cancer Institute, Edmonton, Alberta, Canada.
Alberta Cancer Foundation · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is the second leading cause of cancer death worldwide. GC is a heterogeneous disease in terms of histology, anatomy, and epidemiology. There is also wide variability in how GC is treated in both the resectable and unresectable settings. Identification of prognostic and predictive biomarkers is critical to help direct and tailor therapy for this deadly disease.

methodsA literature search was done using Medline and MeSH terms for GC and predictive biomarkers and prognostic biomarkers. The search was limited to human subjects and the English language. There was no limit on dates. Published data and unpublished abstracts with clinical relevance were included.

resultsMany potential prognostic and predictive biomarkers have been assessed for GC, some of which are becoming practice changing. This review is focused on clinically relevant biomarkers, including EGFR, HER2, various markers of angiogenesis, proto-oncogene MET, and the mammalian target of rapamycin.

conclusionGC is a deadly and heterogeneous disease for which biomarkers are beginning to change our understanding of prognosis and management. The recognition of predictive biomarkers, such as HER2 and vascular endothelial growth factor, has been an exciting development in the management of GC, validating the use of targeted drugs trastuzumab and ramucirumab. MET is another potential predictive marker that may be targeted in GC with drugs such as rilotumumab, foretinib, and crizotinib. Further identification and validation of prognostic and predictive biomarkers has the potential transform how this deadly disease is managed.

Indexed as

AdenocarcinomaAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBevacizumabBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesErbB ReceptorsHumansPrognosisProto-Oncogene MasProto-Oncogene Proteins c-metRamucirumabStomach NeoplasmsTOR Serine-Threonine KinasesVascular Endothelial Growth Factor AAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBevacizumabBiomarkers, TumorEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsMAS1 protein, humanMET protein, humanMTOR protein, humanProto-Oncogene MasProto-Oncogene Proteins c-metRamucirumabTOR Serine-Threonine KinasesVascular Endothelial Growth Factor AVascular Endothelial Growth FactorsBiomarkersGastric cancerHER2PredictivePrognostic

Identifiers

PMID25142842
PMCPMC4201005
OpenAlexW2163216057

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.