Evidence map›Paper›PMID 38491904›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Enhancing Tumor Immunotherapy by Multivalent Anti-PD-L1 Nanobody Assembled via Ferritin Nanocage.

Manman Liu, Duo Jin, Wenxin Yu, Jiaji Yu, Kaiming Cao, Junjie Cheng, Xiaohu Zheng, Andrew Wang, Yangzhong Liu

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

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  12. A Purely Biomanufactured System for Delivering Nanoparticles and STING Agonists.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

9 authors at 2 institutions in 2 countries.

Manman LiuDepartment of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Department of Chemistry, University of Science and Technology of China, Hefei, 230001, China.
Duo JinDepartment of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Department of Chemistry, University of Science and Technology of China, Hefei, 230001, China.
Wenxin YuDepartment of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Department of Chemistry, University of Science and Technology of China, Hefei, 230001, China.
Jiaji YuDepartment of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Department of Chemistry, University of Science and Technology of China, Hefei, 230001, China.
Kaiming CaoDepartment of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Department of Chemistry, University of Science and Technology of China, Hefei, 230001, China.
Junjie ChengDepartment of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Department of Chemistry, University of Science and Technology of China, Hefei, 230001, China.
Xiaohu ZhengThe CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China.
Andrew WangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, 75230, USA.
Yangzhong LiuDepartment of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Department of Chemistry, University of Science and Technology of China, Hefei, 230001, China.ORCID 0000-0003-2891-7964
University of Science and Technology of China · CNThe University of Texas Southwestern Medical Center · US

Funding

National Key R&D Program of China 2020YFA0710700National Natural Science Foundation of China 22177109National Natural Science Foundation of China 22377116National Natural Science Foundation of China 52021002Plans for Major Provincial Science & Technology Projects 202303a07020004
6 · The paper itself

Abstract

Increasing immunotherapy response rate and durability can lead to significant improvements in cancer care. To address this challenge, a novel multivalent immune checkpoint therapeutic platform is constructed through site-specific ligation of anti-PD-L1 nanobody (Nb) on ferritin (Ftn) nanocage. Nb-Ftn blocks PD-1/PD-L1 interaction and downregulates PD-L1 levels via endocytosis-induced degradation. In addition, the cage structure of Ftn allows encapsulation of indocyanine green (ICG), an FDA-approved dye. Photothermal treatment with Nb-Ftn@ICG induces immunogenic death of tumor cells, which improves systemic immune response via maturation of dendritic cells and enhanced infiltration of T cells. Moreover, Nb-Ftn encapsulation significantly enhances cellular uptake, tumor accumulation and retention of ICG. In vivo assays showed that this nanoplatform ablates the primary tumor, suppresses abscopal tumors and inhibits tumor metastasis, leading to a prolonged survival rate. This work presents a novel strategy for improving cancer immunotherapy using multivalent nanobody-ferritin conjugates as immunological targeting and enhancing carriers.

Indexed as

B7-H1 AntigenFerritinsImmunotherapyNeoplasmsSingle-Domain AntibodiesAnimalsCell Line, TumorDisease Models, AnimalHumansIndocyanine GreenMiceB7-H1 AntigenCD274 protein, humanFerritinsIndocyanine GreenSingle-Domain Antibodiesferritinimmunotherapymultivalent nanobodyPD‐L1

Identifiers

PMID38491904
PMCPMC11132087
OpenAlexW4392880914

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.