Evidence map›Paper›PMID 40659959›Full record

ArticleMolecular imaging and biology2025

Preclinical Evaluation of Novel SGLT2-Targeted Near-Infrared Optical Imaging Agent for Early-Stage Pulmonary Adenocarcinoma.

Katherine Ortmeyer Welch, Kelly Anne McGovern, Lydia Chen, Ryan Krouse, Kevin Guo, Jeffrey Huang, Michael Brown, Jake Mlakar, Venu Bandi, David Holt and 2 more

Abstract read
In one paragraph

Article in Molecular imaging and biology, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
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  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

12 authors.

Katherine Ortmeyer WelchDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kelly Anne McGovernDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Lydia ChenDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ryan KrouseDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kevin GuoDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jeffrey HuangDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Michael BrownDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jake MlakarDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Venu BandiDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
David HoltDepartment of Clinical Studies, University of Pennsylvania Veterinary Hospital, Philadelphia, PA, 19104, USA.
Paul ZhangDepartment of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sunil SinghalDivision of Thoracic Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA. sunil.singhal@pennmedicine.upenn.edu.ORCID 0000-0002-2413-7082

Funding

Shared Resource - Core A: Administrative CoreP01CA254859 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Madduri S Srinivasarao · 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
NCI NIH HHS 5P01CA254859-03NCI NIH HHS 5-T32-CA-251063-05NCI NIH HHS P01 CA254859NCI NIH HHS T32 CA251063
6 · The paper itself

Abstract

purposeLung cancer is increasingly diagnosed at early stages, but intraoperative localization of early lesions remains challenging. Intraoperative molecular imaging (IMI) aids in localization of tumors during surgery; however, no optical agents are targeted specifically for early-stage lesions. The sodium-glucose cotransporter 2 (SGLT2) has been implicated in early lung carcinogenesis. This study aimed to describe SGLT2 expression in early-stage lung adenocarcinoma (LUAD) and develop and validate a novel SGLT2-targeted near-infrared (NIR) contrast agent, GlucoGlo, for imaging LUAD. PROCEDURES: SGLT2 expression was confirmed by immunohistochemistry (IHC) in human samples. GlucoGlo optical properties were characterized and compared to common NIR dyes. Sensitivity and specificity for SGLT2 were assessed using preclinical in vitro and in vivo mouse models.

resultsOn IHC, stage I LUAD displayed higher SGLT2 expression than stage II-III LUAD and normal lung tissue. GlucoGlo exhibited similar depth of penetration and resolution to FDA-approved contrast agents. SGLT2-expressing cell lines treated with GlucoGlo displayed higher fluorescence than the control cell line, confirming SGLT2-dependent uptake. Fluorescence increased with both incubation time and GlucoGlo concentration. Glucose and unconjugated GlucoGlo ligand competitively inhibited GlucoGlo in a dose-dependent manner, indicating high affinity and specificity. GlucoGlo selectively accumulated in SGLT2-expressing flank xenografts, with mean SBR of 2.23 and was inhibited by pretreatment with unconjugated GlucoGlo ligand.

conclusionsThese findings support the potential of GlucoGlo as a targeted IMI contrast agent for early-stage LUAD, and they provide a foundation for future in vivo studies and translational development.

Indexed as

Adenocarcinoma of LungLung NeoplasmsOptical ImagingSodium-Glucose Transporter 2AnimalsCell Line, TumorContrast MediaFemaleHumansMiceMice, NudeNeoplasm StagingContrast MediaSodium-Glucose Transporter 2Localized lung cancerMolecular imagingNon-small cell lung cancerOptical imagingSodium-glucose cotransporter 2

Identifiers

PMID40659959
PMCPMC12405025

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Registered trials

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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.