Evidence map›Paper›PMID 29313063›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2018

Using gene expression data to direct breast cancer therapy: evidence from a preclinical trial.

Shams Reaz, Deimante Tamkus, Eran R Andrechek

Abstract readReview
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Personalized oncology and BRAFJournal of cancer research and clinical oncology · 2021
    Article
  3. 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

3 authors.

Shams ReazDepartment of Physiology, Michigan State University, 2194 BPS Building, 567 Wilson Road, East Lansing, MI, 48824, USA.
Deimante TamkusDepartment of Medicine, Division of Hematology/Oncology, College of Human Medicine, 788 Service Road, Room B-409, East Lansing, MI, 48824, USA.
Eran R AndrechekDepartment of Physiology, Michigan State University, 2194 BPS Building, 567 Wilson Road, East Lansing, MI, 48824, USA. andrech1@msu.edu.ORCID http://orcid.org/0000-0002-8680-3423

Funding

Dissecting Tumor Heterogeneity by Analyzing Signaling Pathway Requirements.R01CA160514 · NCI · MICHIGAN STATE UNIVERSITY · PI ANDRECHEK, ERAN ROBERT · 2012 to 2016
$1.5M
NCI NIH HHS R01 CA160514Worldwide Cancer Research WCR - 14-1153
6 · The paper itself

Abstract

The heterogeneity both within and between breast cancers presents a significant clinical challenge for both diagnosis and therapy. This heterogeneity is present at all levels of analysis in breast cancer, ranging from genomic to metabolomic. A function of this heterogeneity is that numerous signaling networks are activated, and while treatment of one arm may be initially effective, this allows the tumor to be poised to evolve a resistance mechanism. Here we review the classification of breast cancers and discuss therapy of hormone positive, HER2 positive, and triple negative breast cancers. Model systems for breast cancer are examined allowing for a preclinical trial using a personalized medicine approach to be tested. This preclinical trial was based solely on cell signaling pathway activation and effectively and specifically blocked tumor growth in a preclinical model system.

Indexed as

Breast NeoplasmsAnimalsErb-b2 Receptor Tyrosine KinasesGene ExpressionHumansMolecular Targeted TherapyPrecision MedicineReceptors, SteroidErb-b2 Receptor Tyrosine KinasesReceptors, SteroidBreast cancerGenomicsHeterogeneityMouse modelsSignaling

Identifiers

PMID29313063
PMCPMC5921923

What OpenQuestion holds

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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.