ArticleTranslational cancer research2023
A novel genes-based signature with prognostic value and predictive ability to select patients responsive to Atezolizumab treatment in bladder cancer: an analysis on data from real-world studies.
Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed, 2 citations in OpenAlex.
- Tertiary lymphoid structures: exploring opportunities to improve immunotherapy in ovarian cancer.Frontiers in immunology · 2025Review
- The Laws of Attraction: Chemokines as Critical Mediators in Cancer Progression and Immunotherapy Response in Bladder Cancer.Cancers · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: There is a lack of molecular markers that effectively predict response to treatment with immune checkpoint inhibitors in patients with uroepithelial bladder carcinoma. The purpose of this study was to explore molecular markers that effectively predict the efficacy of Atezolizumab in the treatment of uroepithelial bladder carcinoma based on real-world clinical trial data. Methods: Gene expression and clinical information of two groups of patients in two datasets, IMvigor210 and GSE176307, who were treated effectively and ineffectively with the programmed cell death 1 ligand 1 (PD-L1) inhibitor Atezolizumab, were obtained. Bioinformatic methods were used to screen out differentially expressed genes and detect the correlation between their expression and immune-related indicators. Subsequently, we assessed the ability of differentially expressed genes to predict the therapeutic response and prognosis of bladder cancer patients following Atezolizumab treatment. Results: A total of 2 differentially expressed genes, CXC motif chemokine ligand 9 ( Conclusions: The mRNA expression levels of
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.