Evidence map›Paper›PMID 36707872›Full record

ArticleJournal of nanobiotechnology2023

Mannosylated-serum albumin nanoparticle imaging to monitor tumor-associated macrophages under anti-PD1 treatment.

Gyo Jeong Gu, Hyewon Chung, Ji Yong Park, Ranji Yoo, Hyung-Jun Im, Hongyoon Choi, Yun-Sang Lee, Seung Hyeok Seok

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

  1. Challenges in tracer development for tumor microenvironment (TME) imaging.European journal of nuclear medicine and molecular imaging · 2026
    Review
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  5. Feasibility of [Nuclear medicine and molecular imaging · 2026
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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

8 authors at 3 institutions in 3 countries.

Gyo Jeong GuMacrophage Laboratory, Department of Microbiology and Immunology, Institute of Endemic Disease, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hyewon ChungMacrophage Laboratory, Department of Microbiology and Immunology, Institute of Endemic Disease, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ji Yong ParkDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ranji YooDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hyung-Jun ImDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
Hongyoon ChoiDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. chy1000@snu.ac.kr.
Yun-Sang LeeDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. wonza43@snu.ac.kr.
Seung Hyeok SeokMacrophage Laboratory, Department of Microbiology and Immunology, Institute of Endemic Disease, Seoul National University College of Medicine, Seoul, Republic of Korea. lamseok@snu.ac.kr.
Seoul National University · KRNational University College · PRSeoul National University Hospital · KR

Funding

Korean government the Ministry of Science, ICT and Future Planning 2020M3A9B6038086Korean government the Ministry of Science, ICT and Future Planning 2020R1A2C2010202Korean government the Ministry of Science, ICT and Future Planning 2021M2E7A2079570Ministry of Health and Welfare HI19C0339Ministry of Health and Welfare HN22C0644National Research Foundation of Korea (NRF), funded by the Ministry of Education NRF-2020R1A6A3A13069409
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors such as anti-programmed cell death protein 1 (PD1) block tumor growth by reinvigorating the immune system; however, determining their efficacy only by the changes in tumor size may prove inaccurate. As the immune cells including macrophages in the tumor microenvironment (TME) are associated with the response to anti-PD1 therapy, tumor-associated macrophages (TAMs) imaging using nanoparticles can noninvasively provide the immune enrichment status of TME. Herein, the mannosylated-serum albumin (MSA) nanoparticle was labeled with radioactive isotope

resultsB16F10-Luc and MC38-Luc tumor-bearing mice were treated with anti-PD1, and the response to anti-PD1 was determined by the tumor volume. According to the flow cytometry, the responders to anti-PD1 showed an increased proportion of TAMs, as well as lymphocytes, and the most enriched immune cell population in the TME was also TAMs. For noninvasive imaging of TAMs as a surrogate of immune cell augmentation in the TME via anti-PD1, we acquired [

conclusionAs representative immune cells in the TME, non-invasive imaging of TAMs using MSA nanoparticles can reflect the immune cell enrichment status in the TME closely associated with the response to anti-PD1. As non-invasive imaging using MSA nanoparticles, this approach shows a potential to monitor and evaluate anti-tumor response to immune checkpoint inhibitors.

Indexed as

NanoparticlesNeoplasmsAnimalsGallium RadioisotopesImmune Checkpoint InhibitorsMiceProgrammed Cell Death 1 ReceptorSerum AlbuminTumor-Associated MacrophagesTumor MicroenvironmentGallium RadioisotopesImmune Checkpoint InhibitorsPdcd1 protein, mouseProgrammed Cell Death 1 ReceptorSerum AlbuminAnti-PD1Mannosylated-serum albuminPositron emission tomographyTumor-associated macrophageTumor microenvironment

Identifiers

PMID36707872
PMCPMC9881286
OpenAlexW4318215364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.