ArticleActa pharmacologica Sinica2026
GSDME-mediated pyroptosis modulates the immunosuppressive microenvironment in lung adenocarcinoma.
Article in Acta pharmacologica Sinica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise impact on tumor prognosis and the immune microenvironment remains elusive, necessitating a comprehensive investigation in the context of lung adenocarcinoma (LUAD). We aimed to construct a pyroptosis-related prognostic model and to elucidate the intricate dynamics of GSDME-mediated pyroptosis in shaping tumor immunity in LUAD. We developed a pyroptosis-related prognostic model using machine learning. GSDME-mediated pyroptosis in LUAD cells was induced using CHX and TNF-α. HMGB1 content in the cell supernatant after cell pyroptosis and in serum from patients before treatment with PD-1/PD-L1 antibodies was determined by Enzyme-Linked Immunosorbent Assay. In vivo, Lewis lung carcinoma (LLC)-bearing C57 mice were treated with cisplatin and/or caspase-3 inhibitors, anti-PD-1, and IL-8 inhibitors, with tumor growth monitored. Our prognostic prediction model (PYR_score), built upon pyroptosis-related genes, demonstrated high efficacy in predicting LUAD prognosis across diverse datasets. Machine learning analyses revealed that higher PYR_score values correlated with shorter progression-free and overall survival. CHX and TNF-α induced GSDME-mediated pyroptosis with elevated HMGB1. Increased HMGB1 was associated with worse therapeutic efficacy of immune checkpoint inhibitors in LUAD patients. HMGB1 increased the proliferative ability and IL-8 secretion of Treg cells in vitro. Caspase-3 and IL-8 inhibitors slowed tumor growth, and IL-8 inhibitors possibly enhanced the effectiveness of anti-PD-1 immunotherapy in LLC-bearing mice. In summary, our novel PYR_score is a robust prognostic marker, offering predictive power across different datasets. GSDME-mediated pyroptosis modulated the immunosuppressive microenvironment via elevations in HMGB1, Treg cells, and MDSCs. IL-8 inhibitors may inhibit Tregs and MDSCs and enhance the effectiveness of anti-PD-1 immunotherapy. Further clinical validation and exploration of therapeutic interventions targeting these pathways are essential for translating these findings into clinical practice.
Indexed as
Identifiers
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.