Evidence map›Paper›PMID 41098802›Full record

ArticleeGastroenterology2025

Immunotherapy against colorectal cancer via delivery of anti-PD-L1 nanobody mRNA.

Wen-Ming Chu, Li Ma, Brian Hew, Atsushi Sugawara, Rodrigo Wengrill, Alex Guarary, Jason S Irei, Owen Chan, Junlong Wang, Hiromi Muramtsu and 8 more

Abstract readComment
In one paragraph

Article in eGastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Wen-Ming Chu *Manoa Institute for Life Science and Cancer, Honolulu, Hawaii, USA.ORCID https://orcid.org/0000-0002-6026-7407
Li Ma *Manoa Institute for Life Science and Cancer, Honolulu, Hawaii, USA.
Brian HewYanagimachi Institute for Biogenesis and Research, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Atsushi SugawaraYanagimachi Institute for Biogenesis and Research, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Rodrigo WengrillYanagimachi Institute for Biogenesis and Research, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Alex GuararyTropical Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Jason S IreiDepartment of Molecular Biosciences and Bioengineering, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Owen ChanUniversity of Hawaii Cancer Center, Honolulu, Hawaii, USA.
Junlong WangUniversity of Hawaii Cancer Center, Honolulu, Hawaii, USA.
Hiromi MuramtsuDepartment of Microbiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Woohyun MoonAcuitas Therapeutics, Vancouver, British Columbia, Canada.
Nima SharifaiDepartment of Pathology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
William BoisvertCenter for Cardiovascular Research, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Youping DengDepartment of Quantitative Health Sciences, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Wei JiaUniversity of Hawaii Cancer Center, Honolulu, Hawaii, USA.
Norbert PardiDepartment of Microbiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Pavlos AnastasiadisDepartment of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Stefan MoisyadiManoa Institute for Life Science and Cancer, Honolulu, Hawaii, USA.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
NCI NIH HHS P30 CA071789
6 · The paper itself

Abstract

Background: Monoclonal antibodies (mAbs) targeting immune checkpoint molecules such as programmed death ligand 1 (PD-L1), which is expressed in both immune and tumour cells, are conventional immunotherapy approaches. Although approved as monotherapy for the first-line treatment of several cancers, mAbs targeting PD-L1 have shown limited efficacy in colorectal cancer (CRC). Here, we investigated if nucleic acids translated into anti-PD-L1 nanobodies (PDL1Nbs) effectively suppress CRC tumourigenesis in mouse models. Methods: Mice were transplanted with MC-38 mouse sporadic CRC (sCRC) cells or challenged with azoxymethane and dextran sodium sulfate, a combination treatment that induces colitis-associated CRC (CAC). The tumour-bearing mice were treated with a PDL1Nb-encoding plasmid DNA (pDNA) delivered via polymers, or treated with PDL1Nb-encoding nucleoside-modified messenger RNA (PDL1Nb mRNA) delivered via lipid nanoparticles (LNP). Moreover, bone marrow haematopoietic stem cells (BMHSCs) were differentiated and maturated by treating growth factors in the presence of PDL1Nb mRNA-LNP or control luciferase mRNA-LNP with/without lipopolysaccharide. We examined sCRC tumour proliferation and growth, CAC tumour incidences and numbers, tumour infiltration of immune cells and bone marrow-derived macrophages (BMDMs). Results: Polymer delivery of PDL1Nb pDNA efficiently repressed sCRC progression in tumour-bearing mice. Intriguingly, LNP delivery of the quadruple PDL1Nb (qPDL1Nb) mRNA showed a greater efficacy than the delivery of the monomeric PDL1Nb (mPDL1Nb) mRNA in suppressing sCRC tumour progression. Moreover, qPDL1Nb mRNA-LNP treatment significantly reduced CAC incidence. Mechanistically, PD-L1 blockade by qPDL1Nb resulted in marked decreases in tumour-infiltrating myeloid-derived suppressor cells and tumour-associated macrophages, as well as expression of PD-L1, but increases in tumour-infiltrating CD3 Conclusion: These results suggest that the PDL1Nb therapy is effective for both CAC and sCRC and using qPDL1Nb mRNA-LNP is a promising alternative strategy for CRC immunotherapy.

Indexed as

colitiscolorectal neoplasmsCrohn's diseaseinflammatory bowel diseases

Identifiers

PMID41098802
PMCPMC12519438

What OpenQuestion holds

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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.