Evidence map›Paper›PMID 32636416›Full record

ArticleScientific reports2020

Fluorescence-guided resection of tumors in mouse models of oral cancer.

Paula Demétrio de Souza França, Navjot Guru, Sheryl Roberts, Susanne Kossatz, Christian Mason, Marcio Abrahão, Ronald A Ghossein, Snehal G Patel, Thomas Reiner

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A Prospective Double-Blinded Comparison of Reflectance Confocal Microscopy with Conventional Histopathology for In Vivo Assessment in Oral Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. A phase I study of a PARP1-targeted topical fluorophore for the detection of oral cancer.European journal of nuclear medicine and molecular imaging · 2021
    Article
  11. PARP1: A Potential Molecular Marker to Identify Cancer During Colposcopy Procedures.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  12. Review
  13. [Molecular imaging · 2021
    Article
  14. AccurateTheranostics · 2021
    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

9 authors.

Paula Demétrio de Souza FrançaDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Navjot GuruDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Sheryl RobertsDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Susanne KossatzDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Christian MasonDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Marcio AbrahãoDepartment of Otorhinolaryngology and Head and Neck Surgery, Federal University of São Paulo, São Paulo, SP, Brazil.
Ronald A GhosseinDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Snehal G PatelDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Thomas ReinerDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. reinert@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Radioiodinated Multifunctional PARP1 Imaging Probes for Diagnosis and TherapyR01CA204441 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI PILLARSETTY, NAGAVARAKISHORE · 2016 to 2020
$2.9M
Rapid, quantitative and affordable point-of-care diagnostics for oral and oropharyngeal cancerR43CA228815 · NCI · SUMMIT BIOMEDICAL IMAGING, LLC · PI BRAND, CHRISTIAN, REINER, THOMAS · 2018 to 2018
$300k
Evaluation of PARP1 targeted imaging as screening tool for esophageal adenocarcinomaK99CA218875 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KOSSATZ, SUSANNE · 2018 to 2018
$106k
NCI NIH HHS K99 CA218875NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA204441NCI NIH HHS R43 CA228815
6 · The paper itself

Abstract

Complete removal and negative margins are the goal of any surgical resection of primary oral cavity carcinoma. Current approaches to determine tumor boundaries rely heavily on surgeons' expertise, and final histopathological reports are usually only available days after surgery, precluding contemporaneous re-assessment of positive margins. Intraoperative optical imaging could address this unmet clinical need. Using mouse models of oral cavity carcinoma, we demonstrated that PARPi-FL, a fluorescent PARP inhibitor targeting the enzyme PARP1/2, can delineate oral cancer and accurately identify positive margins, both macroscopically and at cellular resolution. PARPi-FL also allowed identification of compromised margins based on fluorescence hotspots, which were not seen in margin-negative resections and control tongues. PARPi-FL was further able to differentiate tumor from low-grade dysplasia. Intravenous injection of PARPi-FL has significant potential for clinical translation and could aid surgeons in assessing oral cancer margins in vivo.

Indexed as

AnimalsCarcinomaCell Line, TumorFluorescent DyesMargins of ExcisionMiceMice, Inbred C57BLMouth NeoplasmsPoly(ADP-ribose) Polymerase InhibitorsSurgery, Computer-AssistedTongueFluorescent DyesPoly(ADP-ribose) Polymerase Inhibitors

Identifiers

PMID32636416
PMCPMC7341853

What OpenQuestion holds

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LicenceCC BY
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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.