ArticleImmunity2023
Persistence is key: Refining immunotherapy response prediction.
Article in Immunity, 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.
- Developing a prognostic model for skin melanoma based on the persistent tumor mutation burden and determining IL17REL as a therapeutic target.Journal of cancer research and clinical oncology · 2024Article
- Pan-cancer analysis of ABCC1 as a potential prognostic and immunological biomarker.Translational oncology · 2024Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
Tumor mutation burden (TMB) is a proven, but imperfect, immune checkpoint blockade (ICB) response-predictor. Recently in Nature Medicine, Niknafs et al. demonstrate that persistent mutation burden, a subset of TMB, is an improved metric to predict patient ICB therapy outcome.
Indexed as
Identifiers
36921573What 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.