ArticleNature communications2022
Development of a nanoparticle-based immunotherapy targeting PD-L1 and PLK1 for lung cancer treatment.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 5 of them syntheses that pooled 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.
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.
Who cites it
112 citing papers in PubMed, 5 syntheses or guidelines pooled it, 182 citations in OpenAlex.
- The impact of comorbid COPD on survival outcomes in lung cancer patients treated with immune checkpoint inhibitors: a meta-analysis.Frontiers in immunology · 2025Pooled it
- Prognostic relevance of prognostic nutritional indices in gastric or gastro-esophageal junction cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis.Frontiers in immunology · 2024Pooled it
- Prognostic relevance of platelet lymphocyte ratio (PLR) in gastric cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- Bibliometric analysis of targeted immunotherapy for osteosarcoma-current knowledge, hotspots and future perspectives.Frontiers in immunology · 2024Pooled it
- Nanoparticles Bounded to Interfering RNAs as a Therapy for Pancreatic Cancer: A Systematic Review.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyPooled it
- Peripheral blood markers predict prognosis in patients with advanced non-small cell lung cancer receiving immunotherapy.Medicine · 2026Article
- PHAROS: turning single-cell perturbation models into target-directed drug-combination screens.bioRxiv : the preprint server for biology · 2026Article
- Precision nanomedicine for pulmonary diseases: from molecular targeting to clinical translation.Signal transduction and targeted therapy · 2026Review
- STAT3 Signaling in Spinal Cord Injury: Neurochemical Mechanisms Linking Neuroinflammation, Mitochondrial Stress, and Glial Remodeling.Neurochemical research · 2026Review
- The Trifecta of Polo-Like Kinases, Cancer, and the Immune System: Emerging Intersections and Therapeutic Insights.Molecular cancer research : MCR · 2026Review
- Design principles of nanomaterials for cancer immunotherapy: a mechanistic framework across the cancer immunity cycle.Cancer biology & medicine · 2026Review
- Integration of machine learning-based screening approaches and single-cell sequencing technique to identify cancer stemness genes associated with radiotherapy resistance in lung adenocarcinoma.Discover oncology · 2026Article
- Mitotic Machinery Dysregulation in Lung Cancer: Biological Roles, Therapeutic Targeting, and Combination Strategies.Pharmaceutics · 2026Review
- Precision immunotherapy for head and neck cancer: therapeutic combinations, biomarker strategies, and translational challenges.Molecular cancer · 2026Review
- <p>CDK1 depletion suppresses glioma malignancy through cell cycle pathway regulation: Mechanistic insights from functional and molecular profiling</p>.Oncology reports · 2026Article
- Antibody-Empowered Nanomedicine for Precise Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Turmeric extracellular vesicles-derived "all-in-one" nanoagent enables full-cycle synergistic immunomodulation of lung cancer.Bioactive materials · 2026Article
- Engineering combination nanomedicines to overcome cancer resistance.RSC advances · 2026Review
- Targeting PLK1 potentiates the antitumor efficacy of EGFR-TKIs through inhibiting the JAK1/STAT3 pathway.Cell death & disease · 2026Article
- Advanced and underlying therapeutic strategies in transformed small cell lung cancer.Frontiers in medicine · 2026Review
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 2 institutions in 1 country.
Funding
Abstract
Immune checkpoint inhibitors (ICIs) targeting PD-L1 and PD-1 have improved survival in a subset of patients with advanced non-small cell lung cancer (NSCLC). However, only a minority of NSCLC patients respond to ICIs, highlighting the need for superior immunotherapy. Herein, we report on a nanoparticle-based immunotherapy termed ARAC (Antigen Release Agent and Checkpoint Inhibitor) designed to enhance the efficacy of PD-L1 inhibitor. ARAC is a nanoparticle co-delivering PLK1 inhibitor (volasertib) and PD-L1 antibody. PLK1 is a key mitotic kinase that is overexpressed in various cancers including NSCLC and drives cancer growth. Inhibition of PLK1 selectively kills cancer cells and upregulates PD-L1 expression in surviving cancer cells thereby providing opportunity for ARAC targeted delivery in a feedforward manner. ARAC reduces effective doses of volasertib and PD-L1 antibody by 5-fold in a metastatic lung tumor model (LLC-JSP) and the effect is mainly mediated by CD8+ T cells. ARAC also shows efficacy in another lung tumor model (KLN-205), which does not respond to CTLA-4 and PD-1 inhibitor combination. This study highlights a rational combination strategy to augment existing therapies by utilizing our nanoparticle platform that can load multiple cargo types at once.
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What OpenQuestion holds
Registered trials
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.