Evidence map›Paper›PMID 28733706›Full record

ArticleMolecular imaging and biology2018

Phage Display Selection, In Vitro Characterization, and Correlative PET Imaging of a Novel HER3 Peptide.

Benjamin M Larimer, Nicholas Phelan, Eric Wehrenberg-Klee, Umar Mahmood

Open access · greenAbstract read
In one paragraph

Article in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. HER3 PET Imaging:Cancers · 2021
    Article
  5. PET and SPECT Imaging of the EGFR Family (RTK Class I) in Oncology.International journal of molecular sciences · 2021
    Review
  6. The Radiolabeled HER3 Targeting Molecules for Tumor Imaging.Iranian journal of pharmaceutical research : IJPR · 2021
    Review
  7. Application of Phage-Displayed Peptides in Tumor Imaging Diagnosis and Targeting Therapy.International journal of peptide research and therapeutics · 2021
    Review
  8. Article
  9. Increase in negative charge ofScientific reports · 2019
    Article
  10. PET Imaging of Receptor Tyrosine Kinases in Cancer.Molecular cancer therapeutics · 2018
    Review
  11. HER3-Mediated Resistance to Hsp90 Inhibition Detected in Breast Cancer Xenografts by Affibody-Based PET Imaging.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    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

4 authors at 2 institutions in 1 country.

Benjamin M LarimerAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA. blarimer@mgh.harvard.edu.
Nicholas PhelanAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Eric Wehrenberg-KleeAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Umar MahmoodAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA. umahmood@mgh.harvard.edu.
Athinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · US

Funding

Quantitative HER3 PET Imaging for Assessing Resistance and Guiding TherapyR01CA211223 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI MAHMOOD, UMAR · 2018 to 2023
$1.9M
NCI NIH HHS R01 CA211223U.S. Department of Defense (US) W81XWH-14-1-0406U.S. Department of Defense (US) W81XWH-16-1-0447
6 · The paper itself

Abstract

purposeHER3 (ERBB3) is a receptor tyrosine kinase that is implicated in treatment resistance across multiple cancers, including those of the breast, lung, and prostate. Overexpression of HER3 following targeted therapy can occur rapidly and heterogeneously both within a single lesion and across sites of metastasis, making protein quantification by biopsy highly challenging. A global, non-invasive methodology such as positron emission tomography (PET) imaging can permit serial quantification of HER3, providing a useful approach to monitor HER3 expression across the entire tumor burden both prior to and following treatment. PET imaging of HER3 expression may permit a more personalized approach to targeted therapy by allowing for detection of HER3-mediated resistance, in addition to informing clinical trial patient selection for novel therapies targeting HER3. PROCEDURES: Phage display selection targeting the HER3 extracellular domain was performed in order to develop a peptide with optimal blood clearance and highly accurate HER3 quantification.

resultsThe selection converged to a consensus peptide sequence that was subsequently found to bind HER3 with an affinity of 270 ± 151 nM. The peptide, termed HER3P1, was bound with high selectivity to HER3 over other similar receptor tyrosine kinases such as EGFR and HER2. Furthermore, HER3P1 was able to distinguish between high and low HER3-expressing cells in vitro. The peptide was radiolabeled with Ga-68 and demonstrated to specifically bind HER3 by in vivo PET imaging. Uptake of [

conclusionsHER3P1 accurately quantifies expression of HER3 by PET imaging and has potential utility as a clinical imaging agent.

Indexed as

Cell Surface Display TechniquesPositron-Emission TomographyAnimalsBiotinCell Line, TumorGallium RadioisotopesMicePeptidesProtein BindingReceptor, ErbB-3Tissue DistributionBiotinGallium-68Gallium RadioisotopesPeptidesReceptor, ErbB-3HER3PeptidePETPhage display

Identifiers

PMID28733706
PMCPMC7339641
OpenAlexW2739016897

What OpenQuestion holds

Textmetadata
LicenceTDM
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.