Evidence map›Paper›PMID 42730473›Full record

ArticleWorld journal of oncology2026

RAD001-Adjuvanted Influenza Vaccine Synergizes With Anti-Programmed Cell Death Protein 1 Therapy to Enhance Antitumor Immunity in Programmed Cell Death Ligand 1-Low Murine Lung Cancer.

Hui Lin Ou, Jia Sun, Shi Bo Wu

Abstract read
In one paragraph

Article in World journal of oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

3 authors.

Hui Lin OuNingbo Medical Centre, Li Huili Hospital Affiliated of Ningbo University, Ningbo, Zhejiang 315040, China.
Jia SunNingbo Medical Centre, Li Huili Hospital Affiliated of Ningbo University, Ningbo, Zhejiang 315040, China.
Shi Bo WuNingbo Medical Centre, Li Huili Hospital Affiliated of Ningbo University, Ningbo, Zhejiang 315040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors targeting programmed cell death protein 1 (PD-1) have transformed lung cancer therapy, but their efficacy is often limited in tumors with low programmed cell death ligand 1 (PD-L1) expression and immunologically "cold" tumor microenvironments. This study aimed to evaluate the safety and therapeutic efficacy of combining a RAD001-adjuvanted influenza vaccine with PD-1 blockade and to explore its immunological mechanisms in a murine lung cancer model. Methods: C57BL/6 mice bearing Lewis lung carcinoma (LLC) tumors, characterized by low PD-L1 levels (10.28%), were randomized to receive control, anti-PD-1 monotherapy, or anti-PD-1 combined with either a split influenza vaccine, an MF59-adjuvanted vaccine, or a RAD001-adjuvanted vaccine. Primary endpoints included tumor growth kinetics and survival. Safety was assessed via histopathological analysis of major organs and biochemical analyses. Mechanistic changes were evaluated through immunophenotyping of tumor-infiltrating lymphocytes (TILs) and serum cytokine profiling. Results: The RAD001-adjuvanted vaccine synergized with anti-PD-1 therapy, resulting in superior tumor growth inhibition compared to all other groups. This synergy was associated with a remodeled tumor microenvironment, showing increased CD8 Conclusions: RAD001-adjuvanted influenza vaccination safely enhances the efficacy of anti-PD-1 therapy in PD-L1-low murine lung cancer by promoting a pro-inflammatory immune microenvironment. These findings suggest that strategic vaccine adjuvant selection can broaden the therapeutic reach of immune checkpoint inhibitors.

Indexed as

Cancer immunotherapyInfluenza vaccineLung cancerPD-L1–lowRad001 adjuvantTumor microenvironment

Identifiers

PMID42730473
PMCPMC13568780

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.