Evidence mapPaperPMID 40735784Full record

ReviewImmunotherapy2025

The role of exosomal PD-L1 in NSCLC immunotherapy.

Zhu Li, Shichang Zhang, Yue Wang, Yubo Yan

Abstract readReview
In one paragraph

Review in Immunotherapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

4 authors.

Zhu LiPharmacology and Toxicology, Wright State University, Fairborn, OH, USA.
Shichang ZhangPharmacology and Toxicology, Wright State University, Fairborn, OH, USA.
Yue WangPharmacology and Toxicology, Wright State University, Fairborn, OH, USA.
Yubo YanDepartment of Thoracic Surgery, Harbin Medical University Affiliated Cancer Hospital, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic resistance and immune evasion are hallmark features associated with tumor progression, wherein tumor cells utilize programmed death-ligand 1 (PD-L1) to inhibit cytotoxic T-cell activity via programmed cell death protein 1 (PD-1) engagement. Anti-PD-1 monoclonal antibodies have shown tremendous success in multiple cancers. Despite their limited efficacy in non-small cell lung cancer (NSCLC), a deeper investigation into the mechanism of PD-L1-mediated immune evasion is needed to combat therapeutic resistance. While some clinical benefits for anti-PD-L1 therapy have been observed in NSCLC, factors, such as durability of response and resistance mechanisms remain barriers to its broader use. Recent findings suggest that exosomal PD-L1 may serve as a critical mediator in these resistance mechanisms while simultaneously promoting cancer progression. Therapeutically targeting the process of exosome biogenesis, which is controlled by neutral sphingomyelinase 2 (nSMase2) and the Rab proteins, could yield a novel treatment strategy. Evidence suggests that knocking down these regulatory proteins may enhance cancer therapy, but that remains to be seen in NSCLC. This review presents a comprehensive overview of exosomal PD-L1 in lung cancer, considering its implications in therapeutic resistance and novel treatment strategies, positioning it as a valuable resource for advancing next-generation immunotherapy approaches.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungExosomesImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsAnimalsDrug Resistance, NeoplasmHumansTumor EscapeB7-H1 AntigenCD274 protein, humanImmune Checkpoint Inhibitorsexosomal PD-L1Immune EvasionimmunotherapyNSCLCtherapeutic resistance

Identifiers

PMID40735784
PMCPMC12355670

What Socratic holds

Textmetadata
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 Socratic graph.