Evidence map›Paper›PMID 39681781›Full record

ArticlePharmaceutical research2024

Exploring Multivalency in the Development of Anti-PD-L1 Peptides for Cancer Immunotherapy.

Umar-Farouk Mamani, Mohammed Nurudeen Ibrahim, Yanli Liu, John Fetse, Chien-Yu Lin, Sashi Kandel, Maryam Nakhjiri, Sushil Koirala, Yuhan Guo, Mohammed Alahmari and 1 more

Abstract read
In one paragraph

Article in Pharmaceutical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Umar-Farouk MamaniDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Mohammed Nurudeen IbrahimDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Yanli LiuDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
John FetseDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Chien-Yu LinDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Sashi KandelDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Maryam NakhjiriDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Sushil KoiralaDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Yuhan GuoDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Mohammed AlahmariDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA.
Kun ChengDivision of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, 2464 Charlotte Street, Kansas City, MO, 64108, USA. chengkun@umkc.edu.

Funding

Targeted delivery of PCBP2 siRNA for treating alcoholic liver fibrosisR01AA021510 · NIAAA · UNIVERSITY OF MISSOURI KANSAS CITY · PI CHENG, KUN · 2012 to 2022
$3.8M
Development of a targeted delivery platform for checkpoint inhibitorsR01CA231099 · NCI · UNIVERSITY OF MISSOURI KANSAS CITY · PI CHENG, KUN · 2018 to 2022
$1.8M
Normalizing PDAC stroma with PCBP2 siRNA nanoparticles to improve the antitumor activity of chemotherapy and immunotherapyR01CA271592 · NCI · UNIVERSITY OF MISSOURI KANSAS CITY · PI Kun Cheng · 2023 to 2026
$1.5M
Leica Stellaris 8 Confocal Microscope SystemS10OD032373 · OD · UNIVERSITY OF MISSOURI KANSAS CITY · PI DALLAS, SARAH L · 2022 to 2022
$599k
NCI NIH HHS R01 CA231099NCI NIH HHS R01 CA271592NIAAA NIH HHS R01 AA021510NIH HHS R01CA231099NIH HHS R01CA271592NIH HHS S10 OD032373
6 · The paper itself

Abstract

purposeThe PD-1/PD-L1 pathway is one of the most effective immune checkpoint pathways utilized for cancer immunotherapy. Despite the success of anti-PD-1/PD-L1 mAbs, there is growing interest in developing low molecular weight anti-PD-1/PD-1 agents, such as peptides, because of their improved tumor penetration. We recently developed a small anti-PD-L1 peptide and demonstrated its promising anti-tumor activity. In this study, we investigate multivalency as a strategy to increase the binding avidity and blocking efficiency of the anti-PD-L1 peptide.

methodsMultivalent peptide inhibitors are designed with multiple copies of a peptide inhibitor in a single molecule. We synthesized peptides with different valences and examined their activity. We also investigated how spacer length affects the activity of these multivalent peptides.

resultsUsing this strategy, we developed a multivalent peptide that demonstrated approximately 40 times higher blocking efficiency and improved stability compared to the original peptide. Increasing the valency enhanced the peptide's specificity, which is essential for minimizing side effects.

conclusionsMultivalency approach represents a promising platform for improving the efficacy of peptide-based checkpoint inhibitors.

Indexed as

B7-H1 AntigenImmunotherapyNeoplasmsPeptidesAnimalsCell Line, TumorHumansImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsPeptidesProgrammed Cell Death 1 Receptoranti-PD-L1checkpoint inhibitorimmunotherapymultivalencypeptide

Identifiers

PMID39681781
PMCPMC12983391

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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.