ArticleJournal of thoracic disease2025
Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Reprogramming myeloid cells and restoring T cell fitness in checkpoint inhibitor resistant melanoma patients.Biomarker research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Immune checkpoint inhibitors (ICIs) are clinically effective in the treatment of non-small cell lung cancer (NSCLC), but the response rate in nonselective NSCLC patients is approximately 20%. It is important to expand the pool of benefits of immunotherapy. However, current solution strategies are limited. Our research is to identify new targets for combined immunotherapy and expand the beneficiary population of immunotherapy. Methods: Functional enrichment analysis was performed for differentially expressed genes (DEGs) in 175 NSCLC immunotherapy cohorts and 494 non-immunotherapy cohorts, and single-sample gene set enrichment analysis (ssGSEA) was used to quantify the level of infiltration of different immune cell subpopulations. Weighted correlation network analysis (WGCNA), univariate Cox regressions, least absolute shrinkage and selection operator (LASSO) regressions, and gene correlation analysis were applied to identify immune signature genes associated with immune cell infiltration, and a nomogram was constructed to predict the survival rate. Results: The DEGs were not enriched in the classical antitumour immune response and the dendritic cells (DCs) infiltration level in the tumour microenvironment (TME) was at a low level in the immunotherapy cohort. The high expression of Conclusions: High expression of
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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.