Evidence map›Paper›PMID 24533716›Full record

ReviewPharmacogenomics2014

Predictive biomarker candidates for the response of gastric cancer to targeted and cytotoxic agents.

Hark Kyun Kim, Jeffrey E Green

Open access · greenAbstract readReview
In one paragraph

Review in Pharmacogenomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. 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 2 institutions in 2 countries.

Hark Kyun KimCenter for Gastric Cancer, National Cancer Center, Goyang, 410-769, Republic of Korea. hkim@ncc.re.kr.
Jeffrey E Green
National Cancer Center · KRNational Cancer Institute · US

Funding

Gastric Cancer Therapy and Genetically Engineered Mouse ModelsZIABC011230 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GREEN, JEFFREY E · 2009 to 2010
$753k
Intramural NIH HHS ZIA BC011230
6 · The paper itself

Abstract

Gastric cancer is the second most common cause of cancer death worldwide. Recent development of targeted agents provides clinicians with additional systemic treatment options to conventional cytotoxic agents. Predictive markers are undoubtedly important for guiding the appropriate use of targeted and cytotoxic agents. Currently, however, HER2 is the only predictive biomarker validated for gastric cancer. In this review, candidate predictive markers for response to other targeted agents and cytotoxic chemotherapeutic agents are discussed.

Indexed as

BiomarkersMolecular Targeted TherapyAntineoplastic AgentsCytotoxinsErb-b2 Receptor Tyrosine KinasesErbB ReceptorsHumansReceptor, Fibroblast Growth Factor, Type 2Stomach NeoplasmsTOR Serine-Threonine KinasesAntineoplastic AgentsBiomarkersCytotoxinsEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsFGFR2 protein, humanMTOR protein, humanReceptor, Fibroblast Growth Factor, Type 2TOR Serine-Threonine Kinases

Identifiers

PMID24533716
PMCPMC7670597
OpenAlexW2076008185

What OpenQuestion holds

Textmetadata
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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.