Evidence map›Paper›PMID 36900378›Full record

ArticleCancers2023

ImmunoPET Imaging Identifies the Optimal Timepoint for Combination Therapy in Xenograft Models of Triple-Negative Breast Cancer.

Ziqi Li, Erika Belitzky, Ondrej Blaha, Alessandra Cavaliere, Samantha R Katz, Mariam Aboian, Lindy Melegari, Khashayar Rajabimoghadam, Stephen Kurpiewski, Xiaohua Zhu and 1 more

Open access · goldFull text read
In one paragraph

Article in Cancers, 2023. 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
0.5field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

11 authors at 3 institutions in 2 countries.

Ziqi LiDepartment of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Erika BelitzkyDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.
Ondrej BlahaYale Center for Analytical Sciences, Yale School of Public Health, Yale University, New Haven, CT 06520, USA.ORCID 0000-0003-3665-3276
Alessandra CavaliereDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.
Samantha R KatzDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.
Mariam AboianDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.ORCID 0000-0002-4877-8271
Lindy MelegariDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.
Khashayar RajabimoghadamDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.
Stephen KurpiewskiDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.
Xiaohua ZhuDepartment of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.ORCID 0000-0003-0495-9510
Bernadette Marquez-NostraDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.ORCID 0000-0001-9024-0750
Yale University · USTongji Hospital · CNUniversity of Alabama at Birmingham · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Imaging for Assessment and Prediction of Response to Therapy in Triple Negative Breast CancerR00CA201601 · NCI · YALE UNIVERSITY · PI MARQUEZ-NOSTRA, BERNADETTE · 2017 to 2019
$747k
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NCI NIH HHS R00 CA201601NIH HHS R00CA201601
6 · The paper itself

Abstract

(1) Purpose: The glycoprotein non-metastatic melanoma B (gpNMB) is a type 1 transmembrane protein that is overexpressed in numerous cancers, including triple-negative breast cancer (TNBC). Its overexpression is associated with lower overall survival of patients with TNBC. Tyrosine kinase inhibitors such as dasatinib can upregulate gpNMB expression, which has the potential to enhance therapeutic targeting with anti-gpNMB antibody drug conjugates such as glembatumumab vedotin (CDX-011). Our primary aim is to quantify the degree and identify the timeframe of gpNMB upregulation in xenograft models of TNBC after treatment with the Src tyrosine kinase inhibitor, dasatinib, by longitudinal positron emission tomography (PET) imaging with the

Indexed as

89ZrCDX-011dasatinibgpNMBPET imagingtriple-negative breast cancerupregulation

Identifiers

PMID36900378
PMCPMC10001369
OpenAlexW4323317682

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read39
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.