Evidence map›Paper›PMID 30472501›Full record

ArticleNeoplasia (New York, N.Y.)2019

Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer.

Anum K Syed, Ryan Woodall, Jennifer G Whisenant, Thomas E Yankeelov, Anna G Sorace

Abstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. A FABulous approach to image human macrophages.European journal of nuclear medicine and molecular imaging · 2026
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  13. ImmunoPET Imaging with 89Zr-Labeled Atezolizumab Enables In Vivo Evaluation of PD-L1 in Tumorgraft Models of Renal Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
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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

5 authors.

Anum K SyedDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712.
Ryan WoodallDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712.
Jennifer G WhisenantDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232.
Thomas E YankeelovDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX 78712; Department of Oncology, The University of Texas at Austin, Austin, TX 78712; Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712.
Anna G SoraceDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX 78712; Department of Oncology, The University of Texas at Austin, Austin, TX 78712; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712. Electronic address: anna.sorace@austin.utexas.edu.

Funding

Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast CancerU01CA174706 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, YANKEELOV, THOMAS E · 2013 to 2018
$2.5M
Evaluation and Validation of Imaging Biomarkers of Tumor Response to TreatmentR01CA138599 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MCINTYRE, JAMES OLIVER · 2010 to 2015
$2.2M
NCI NIH HHS R01 CA138599NCI NIH HHS U01 CA174706NIBIB NIH HHS T32 EB007507
6 · The paper itself

Abstract

The purpose of this study is to investigate imaging and histology-based measurements of intratumoral heterogeneity to evaluate early treatment response to targeted therapy in a murine model of HER2+ breast cancer. BT474 tumor-bearing mice (N = 30) were treated with trastuzumab or saline and imaged longitudinally with either dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) or

Indexed as

Diagnostic ImagingImmunohistochemistryAnimalsBreast NeoplasmsCell Line, TumorDisease Models, AnimalErb-b2 Receptor Tyrosine KinasesFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMiceMisonidazolePositron-Emission TomographyReproducibility of ResultsTrastuzumabErb-b2 Receptor Tyrosine KinasesfluoromisonidazoleMisonidazoleTrastuzumab

Identifiers

PMID30472501
PMCPMC6260456

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.