Evidence map›Paper›PMID 34919761›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2022

Molecular immuno-imaging improves tumor detection in head and neck cancer.

Jing-Hui Li, Reza Forghani, Lionel Bure, Gregory R Wojtkiewicz, Yue Wu, Yoshiko Iwamoto, Muhammad Ali, Anning Li, Cuihua Wang, Negin Jalali Motlagh and 6 more

Open access · greenAbstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

16 authors at 4 institutions in 3 countries.

Jing-Hui LiInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Reza ForghaniInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-8572-1864
Lionel BureInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Gregory R WojtkiewiczInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Yue WuInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Yoshiko IwamotoInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Muhammad AliInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Anning LiInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Cuihua WangInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Negin Jalali MotlaghInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Andreas I PapadakisDepartment of Pathology, Jewish General Hospital & McGill University, Montreal, Quebec, Canada.
Marc P PusztaszeriDepartment of Pathology, Jewish General Hospital & McGill University, Montreal, Quebec, Canada.
Alan SpatzDepartment of Pathology, Jewish General Hospital & McGill University, Montreal, Quebec, Canada.
Hugh CurtinDepartment of Radiology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts, USA.
Ying-Sheng ChengDepartment of Radiology, The Affiliated Sixth People's Hospital of Shanghai Jiao Tong University, Shanghai, China.
John W ChenInstitute for Innovation in Imaging, Department of Radiology, and Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7388-9590
Harvard University · USJewish General Hospital · CAMassachusetts Eye and Ear Infirmary · USShanghai Jiao Tong University · CN

Funding

Imaging macrophage and microglial functional diversity in strokeR01NS103998 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHEN, JOHN W · 2018 to 2022
$2.6M
Tracking M2-Like Macrophages in Cardiopulmonary Diseases by Magnetic Resonance ImagingK25HL150305 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI WANG, CUIHUA · 2020 to 2024
$763k
NHLBI NIH HHS K25 HL150305NINDS NIH HHS R01 NS103998
6 · The paper itself

Abstract

Detection and accurate delineation of tumor is important for the management of head and neck squamous cell carcinoma (HNSCC) but is challenging with current imaging techniques. In this study, we evaluated whether molecular immuno-imaging targeting myeloperoxidase (MPO) activity, an oxidative enzyme secreted by many myeloid innate immune cells, would be superior in detecting tumor extent compared to conventional contrast agent (DTPA-Gd) in a carcinogen-induced immunocompetent HNSCC murine model and corroborated in human surgical specimens. In C57BL/6 mice given 4-nitroquinoline-N-oxide (4-NQO), there was increased MPO activity in the head and neck region as detected by luminol bioluminescence compared to that of the control group. On magnetic resonance imaging, the mean enhancing volume detected by the MPO-targeting agent (MPO-Gd) was higher than that by the conventional agent DTPA-Gd. The tumor volume detected by MPO-Gd strongly correlated with tumor size on histology, and higher MPO-Gd signal corresponded to larger tumor size found by imaging and histology. On the contrary, the tumor volume detected by DTPA-Gd did not correlate as well with tumor size on histology. Importantly, MPO-Gd imaging detected areas not visualized with DTPA-Gd imaging that were confirmed histopathologically to represent early tumor. In human specimens, MPO was similarly associated with tumors, especially at the tumor margins. Thus, molecular immuno-imaging targeting MPO not only detects oxidative immune response in HNSCC, but can better detect and delineate tumor extent than nonselective imaging agents. Thus, our findings revealed that MPO imaging could improve tumor resection as well as be a useful imaging biomarker for tumor progression, and potentially improve clinical management of HNSCC once translated.

Indexed as

Head and Neck NeoplasmsMagnetic Resonance ImagingMolecular ImagingNeoplasms, Experimental4-Nitroquinoline-1-oxideAnimalsBiomarkers, TumorCell Line, TumorFemaleMiceQuinolones4-Nitroquinoline-1-oxide4-nitroquinolone-1-oxideBiomarkers, TumorQuinoloneshead and neck squamous cell carcinomainflammationmagnetic resonance imagingmolecular imagingmyeloperoxidase

Identifiers

PMID34919761
PMCPMC9584652
OpenAlexW4200157636

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.