ArticleMethods in molecular biology (Clifton, N.J.)2025
Using the Cancer Epitope Database and Analysis Resource (CEDAR).
Article in Methods in molecular biology (Clifton, N.J.), 2025. 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.
- Cancer epitope prediction tools and analysis pipelines in CEDAR.Nucleic acids research · 2026Article
- The Cancer Epitope Database and Analysis Resource (CEDAR): current capabilities and future directions.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The Cancer Epitope Database and Analysis Resource (CEDAR) is a freely accessible catalog of cancer epitope and receptor data linked to the biological, immunological, and clinical contexts in which they were described. CEDAR data is populated by manual curation of the cancer literature and provides a central resource for researchers to access information about cancer antigens and their specific epitopes, which is relevant to our understanding of the role that the immune system plays in cancer progression, prevention, and treatment. In this chapter, we aim to provide a comprehensive overview of the database section of CEDAR. This includes a detailed description of all available query parameters, guidance on navigating through the query results, and a demonstration of how CEDAR can aid cancer research, featuring example research scenarios and queries.
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.