Abstract 3138: CellMiner Cross-Database (CellMinerCDB) for Exploration of Patient-Derived Cancer Cell Line Pharmacogenomics

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 DepMap, Sanger/MGH GDSC, MD Anderson Cancer Center (MDACC) MCLP, and National Center for Advancing Translational Sciences (NCATS) cell line projects. In the version 2.2 update, our collection has expanded to pharmacogenomics data for 1,916 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. Citation Format: Fathi Elloumi, William C. Reinhold, Sudhir Varma, Yanghsin Wang, Meric Kinali, Yashuhiro Arakawa, Yoshitaka Inoue, Mirit Aladjem, Yves Pommier, Augustin Luna. CellMiner Cross-Database (CellMinerCDB) for Exploration of Patient-Derived Cancer Cell Line Pharmacogenomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3138.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-3138
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 3138: CellMiner Cross-Database (CellMinerCDB) for Exploration of Patient-Derived Cancer Cell Line Pharmacogenomics

Yoshitaka Inoue, Fathi Elloumi, Sudhir Varma, Meric Kinali et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 3138: CellMiner Cross-Database (CellMinerCDB) for Exploration of Patient-Derived Cancer Cell Line Pharmacogenomics

Yoshitaka Inoue, Fathi Elloumi, Sudhir Varma, Meric Kinali, Yves Pommier, Mirit I. Aladjem, William C. Reinhold, Yang Wang, Augustin Luna, Yashuhiro Arakawa
article en

Abstract

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 DepMap, Sanger/MGH GDSC, MD Anderson Cancer Center (MDACC) MCLP, and National Center for Advancing Translational Sciences (NCATS) cell line projects. In the version 2.2 update, our collection has expanded to pharmacogenomics data for 1,916 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. Citation Format: Fathi Elloumi, William C. Reinhold, Sudhir Varma, Yanghsin Wang, Meric Kinali, Yashuhiro Arakawa, Yoshitaka Inoue, Mirit Aladjem, Yves Pommier, Augustin Luna. CellMiner Cross-Database (CellMinerCDB) for Exploration of Patient-Derived Cancer Cell Line Pharmacogenomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3138.

Cancer ResearchVol. 86(7_Supplement)
Boston University (US), United States National Library of Medicine (US), Tokyo Zokei University (JP), University of Massachusetts Boston (US), EP Analytics (United States) (US), National Cancer Institute (US)
Partnerships for the goals
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.