Evidence map›Paper›PMID 35962301›Full record

ArticleMolecular imaging and biology2023

HER3 PET Imaging Predicts Response to Pan Receptor Tyrosine Kinase Inhibition Therapy in Gastric Cancer.

Shadi A Esfahani, Carolina de Aguiar Ferreira, Nicholas J Rotile, Bahar Ataeinia, Shriya Krishna, Onofrio A Catalano, Peter Caravan, Yi-Fen Yen, Pedram Heidari, Umar Mahmood

Open access · greenAbstract read
In one paragraph

Article in Molecular imaging and biology, 2023. 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
0.3field-weighted citation impact, top 41% 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, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Addition of Peptide Receptor Radiotherapy to Immune Checkpoint Inhibition Therapy Improves Outcomes in Neuroendocrine Tumors.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    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

10 authors at 2 institutions in 1 country.

Shadi A EsfahaniAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA. esfahani.shadi@mgh.harvard.edu.
Carolina de Aguiar FerreiraAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA.
Nicholas J RotileAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA.
Bahar AtaeiniaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA.
Shriya KrishnaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA.
Onofrio A CatalanoAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA.
Peter CaravanAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA.
Yi-Fen YenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, 149, 13th Street, Charlestown, MA, 02129, USA.
Pedram HeidariAthinoula 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.
Massachusetts General Hospital · USAthinoula A. Martinos Center for Biomedical Imaging · US

Funding

CaNCURE: Cancer Nanomedicine Co-ops For Undergraduate Research ExperiencesR25CA174650 · NCI · NORTHEASTERN UNIVERSITY · PI SRINIVAS SRIDHAR · 2014 to 2026
$3.4M
Quantitative HER3 PET Imaging for Assessing Resistance and Guiding TherapyR01CA211223 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI MAHMOOD, UMAR · 2018 to 2023
$1.9M
Enhancing the therapeutic effect of receptor radionuclide therapy in neuroendocrine tumors by somatostatin receptor upregulationK08CA249047 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HEIDARI, PEDRAM · 2020 to 2024
$1.3M
Molecular Imaging of Fibrosis for Improved Treatment Planning of Pancreatic Ductal AdenocarcinomaK08CA259626 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Shadi Abdar Esfahani · 2022 to 2026
$1.3M
MRI-Compatible PET Insert for Small Bore ScannerS10OD023503 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CARAVAN, PETER D · 2017 to 2017
$600k
A Proof-of-concept of Vitamin B3 for Metabolic MR ImagingR21GM137227 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI YEN, YI-FEN · 2020 to 2021
$461k
NCI NIH HHS K08 CA249047NCI NIH HHS K08 CA259626NCI NIH HHS R01 CA211223NCI NIH HHS R25 CA174650NIGMS NIH HHS R21 GM137227NIH HHS 5R25CA174650NIH HHS S10 OD023503
6 · The paper itself

Abstract

purposeNew generation of receptor tyrosine kinase inhibitors (RTKIs) have shown to improve survival in many solid tumors. However, an imaging biomarker is needed for patient selection and prediction of treatment response. This study evaluates the use of quantitative changes of HER3 on PROCEDURES: GCa cell lines were evaluated for expression of RTKs, and downstream signaling pathways (AKT and MAPK). Cell viability was assessed following 24-72 h of treatment with 0.01-1 µmol/L of afatinib, a pan-RTKI. HER3-expressing afatinib-sensitive (NCI-N87) and resistant cells (SNU16) were selected for evaluation of changes in RTKs expression and downstream pathways, with 24-72 h of 0.1 µmol/L afatinib treatment.

resultsWith afatinib therapy, NCI-N87 cells showed increased total HER3 expression, and reduction of other RTKs and downstream nodes within 72 h, while SNU16 cells showed no significant change in total HER3 and downstream nodes.

conclusionsQuantitative changes in HER3 PET could be used to predict response to pan-RTKI within few days after initiation of treatment and can help with personalizing GCa management.

Indexed as

Stomach NeoplasmsAfatinibCell Line, TumorHumansPositron-Emission TomographyReceptor, ErbB-3AfatinibReceptor, ErbB-3Gastric cancerHER3PET/MRIReceptor tyrosine kinaseTreatment responseTumor detection

Identifiers

PMID35962301
PMCPMC10024929
OpenAlexW4290888601

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.