ArticleNucleic acids research2026
CellMiner cross-database (CellMinerCDB) version 2.2 for explorations of patient-derived cancer cell line pharmacogenomics.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
CellMiner Cross-Database (CellMinerCDB) (https://discover.nci.nih.gov/cellminercdb/) is an established interactive application providing direct access and enabling exploration of cancer cell line pharmacogenomics without extensive programming experience. Data are compiled from many sources, including the National Cancer Institute(NCI), Broad Institute Dependency Map (DepMap), Sanger/MGH Genomics of DrugSensitivity in Cancer (GDSC), MD Anderson Cell Lines Project (MCLP), andNational Center for Advancing Translational Sciences (NCATS). In the version 2.2 update, our collection has expanded to pharmacogenomics data for 1916 cancer cell lines and over 25 000 drugs. Drug screening data include many additional compounds for potential drug repurposing from the Broad PRISM, NCATS, and NCI. The user interface facilitates uncovering specific samples of interest and identifying drug and cell lines across databases. We also expanded the annotations for cross-referencing other databases and downloading our data for further cancer biology and drug discovery studies. Herein, we provide use cases for CellMinerCDB, including (i) data reproducibility given overlaps of cell lines, genes, and drugs across databases; (ii) candidate biomarker discovery; and (iii) cross-dataset analyses.
Indexed as
Identifiers
What Socratic 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 Socratic graph.