Evidence map›Paper›PMID 35644263›Full record

ArticleThe Annals of thoracic surgery2023

Glycoprotein Receptor CEACAM5-Targeted Intraoperative Molecular Imaging Tracer in Non-Small Cell Lung Cancer.

Feredun Azari, Gregory T Kennedy, Ashley Chang, Elizabeth Bernstein, Bilal Nadeem, André Pèlegrin, Françoise Cailler, Neil T Sullivan, John Kucharczuk, Sunil Singhal

Open access · greenAbstract read
In one paragraph

Article in The Annals of thoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Feredun AzariDepartment of Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Gregory T KennedyDepartment of Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Ashley ChangDepartment of Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Elizabeth BernsteinPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Bilal NadeemDepartment of Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
André PèlegrinSurgiMab, Montpellier, France; Montpellier Cancer Research Institute, University of Montpellier, INSERM, ICM, Montpellier, France.
Françoise CaillerSurgiMab, Montpellier, France.
Neil T SullivanDepartment of Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
John KucharczukDepartment of Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Sunil SinghalDepartment of Thoracic Surgery, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: sunil.singhal@pennmedicine.upenn.edu.
University of Pennsylvania · USInserm · FRSurgimab (France) · FR

Funding

Shared Resource - Core A: Administrative CoreP01CA254859 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Sunil Singhal · 2022 to 2026
$10.0M
SURGICAL ONCOLOGY RESEARCH TRAINING PROGRAM AT PENNT32CA251063 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Ronald P. Dematteo · 2020 to 2026
$2.6M
Intraoperative Molecular Imaging of Pulmonary Squamous Cell CarcinomaF32CA254210 · NCI · UNIVERSITY OF PENNSYLVANIA · PI KENNEDY, GREGORY T · 2020 to 2021
$143k
NCI NIH HHS F32 CA254210NCI NIH HHS P01 CA254859NCI NIH HHS T32 CA251063
6 · The paper itself

Abstract

backgroundIntraoperative molecular imaging has emerged as a potential tool in addressing challenges faced during lung cancer surgery by localizing small lesions, ensuring negative margins, and identifying synchronous cancers. Carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5) glycoprotein has emerged as a potential target in fluorescent labeling of non-small cell lung cancer given the high antigen density in tumor cells and absence of expression in normal parenchyma. The goal of our study was to determine whether anti-CEACAM5 targeted near-infrared fluorochrome could be a suitable target in non-small cell lung cancer.

methodsThe CEACAM5 expression was evaluated in AB-12 (known negative control), HT29 (known positive control), and H460 (non-small cell lung cancer) cell lines by polymerase chain reaction. SGM-101, a CEACAM5 antibody, coupled with a BM-104 near-infrared fluorescent tracer was evaluated with dose escalation, in vitro cellular localization, and immunofluorescence microscopy. Subsequently, in vivo validation was performed in 52 athymic nude xenografts.

resultsPolymerase chain reaction analysis demonstrated 3000x relative expression of CEACAM5 in HT-29 cells compared with AB-12. The H460 cells showed 1000x relative expression compared with AB12 (P < .05). Both HT29 and H460 cells showed tracer internalization with signal to background ratio of 4.5 (SD 0.34) whereas there was minimal uptake by AB12 cells with signal to background ratio 1.1 (SD 0.1; P < .05). There was linear fluorescence increase with increasing tracer dosing in receptor expressing cell lines. In preclinical models, HT-29 and H460 cells lines produced near-infrared fluorescence with average tumor to background ratio of 3.89 (SD 0.25) irrespective of tumor size compared with no fluorescence by AB12 tumors (P < .05). The CEACAM5 expressing tumors had excellent dye uptake compared with AB12 tumors.

conclusionsCEACAM5 serves as a possible receptor for targeted intraoperative molecular imaging resections in lung cancer. This study sets a path for evaluation of CEACAM5 targets in future clinical trials.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsCarcinoembryonic AntigenCell Adhesion MoleculesCell Line, TumorHumansMolecular ImagingCarcinoembryonic AntigenCell Adhesion Molecules

Identifiers

PMID35644263
PMCPMC9701246
OpenAlexW4281635606

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.