Evidence map›Paper›PMID 28279470›Full record

ReviewSurgical oncology clinics of North America2017

Novel Targeted Therapies for Esophagogastric Cancer.

Steven B Maron, Daniel V T Catenacci

Abstract readReview
In one paragraph

Review in Surgical oncology clinics of North America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Synthesis, preclinical evaluation and pilot clinical translation of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. CDK11Cell cycle (Georgetown, Tex.) · 2019
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. 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.

Steven B MaronSection of Hematology/Oncology, University of Chicago Comprehensive Cancer Center, 900 E 57th St, Suite 7128, Chicago, IL 60637, USA.
Daniel V T CatenacciSection of Hematology/Oncology, University of Chicago Comprehensive Cancer Center, 900 E 57th St, Suite 7128, Chicago, IL 60637, USA. Electronic address: dcatenac@medicine.bsd.uchicago.edu.

Funding

PANGEA: Personalized Antibodies for GastroEsophageal Adenocarcinoma Pilot TrialK23CA178203 · NCI · UNIVERSITY OF CHICAGO · PI CATENACCI, DANIEL · 2014 to 2016
$507k
NCI NIH HHS K23 CA178203
6 · The paper itself

Abstract

Gastroesophageal cancer (GEC) remains a major cause of cancer-related mortality worldwide. Although the incidence of distal gastric adenocarcinoma (GC) is declining in the United States, proximal esophagogastric junction adenocarcinoma (EGJ) is increasing in incidence. GEC, including GC and EGJ, is treated uniformly in the metastatic setting. Overall survival in the metastatic setting remains poor. Molecular characterization of GEC has identified mutations and copy number variations, along with other oncogenes, biomarkers, and immuno-oncologic checkpoints that may serve as actionable therapeutic targets. This article reviews these key aberrations, their impact on protein expression, therapeutic implications, and clinical directions within each pathway.

Indexed as

AdenocarcinomaEsophageal NeoplasmsEsophagogastric JunctionStomach NeoplasmsAntineoplastic AgentsDisease-Free SurvivalDNA Copy Number VariationsHumansMolecular Targeted TherapyNeoplasm StagingProto-Oncogene Proteins c-metSurvival RateAntineoplastic AgentsProto-Oncogene Proteins c-metEGFREsophagogastric junction cancerFGFR2Gastric cancerGastroesophageal adenocarcinomaHER2METVEGFR2

Identifiers

PMID28279470
PMCPMC5347475

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.