Evidence map›Paper›PMID 26853626›Full record

ArticleCell chemical biology2016

Cell-Line Selectivity Improves the Predictive Power of Pharmacogenomic Analyses and Helps Identify NADPH as Biomarker for Ferroptosis Sensitivity.

Kenichi Shimada, Miki Hayano, Nen C Pagano, Brent R Stockwell

Open access · bronzeAbstract read
In one paragraph

Article in Cell chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 1 pooled it
12.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

169 citing papers in PubMed, 1 synthesis or guideline pooled it, 293 citations in OpenAlex.

  1. Review of ferroptosis in colorectal cancer: Friends or foes?World journal of gastroenterology · 2023
    Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Identification of 4,5,6,7-Tetrabromo-1bioRxiv : the preprint server for biology · 2026
    Article
  8. Review
  9. Review
  10. Fueling Death: The Metabolic Control of Ferroptosis.Advances in experimental medicine and biology · 2026
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Neuroferroptosis in health and diseases.Nature reviews. Neuroscience · 2025
    Review
  17. Review
  18. Review
  19. Review
  20. Review

109 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Kenichi ShimadaDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA. Electronic address: ks2474@columbia.edu.
Miki HayanoDepartment of Pharmacology, Columbia University, New York, NY 10027, USA.
Nen C PaganoDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA.
Brent R StockwellDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA; Department of Chemistry, Columbia University, New York, NY 10027, USA; Howard Hughes Medical Institute, Columbia University, 1208 Northwest Corner Building, MC 4846, 550 West 120th Street, New York, NY 10027, USA. Electronic address: bstockwell@columbia.edu.
Columbia University · USHoward Hughes Medical Institute · US

Funding

Defining the functions and translational potential of ferroptosisR35CA209896 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STOCKWELL, BRENT R. · 2016 to 2022
$6.5M
Chemical Genetic Profiling of Engineered Tumor CellsR01CA097061 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI STOCKWELL, BRENT R. · 2002 to 2016
$4.8M
Defining a novel trigger for apoptosisR01GM085081 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STOCKWELL, BRENT R. · 2008 to 2011
$1.5M
Comparing HTS with Fragment-Based Design for B-Raf and the Ras-Raf InteractionR01CA161061 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STOCKWELL, BRENT R. · 2011 to 2014
$1.0M
Howard Hughes Medical InstituteNCI NIH HHS 5R01CA097061NCI NIH HHS R01 CA097061NCI NIH HHS R01 CA161061NCI NIH HHS R01CA161061NCI NIH HHS R35 CA209896NIGMS NIH HHS 5R01GM085081NIGMS NIH HHS R01 GM085081
6 · The paper itself

Abstract

Precision medicine in oncology requires not only identification of cancer-associated mutations but also effective drugs for each cancer genotype, which is still a largely unsolved problem. One approach for the latter challenge has been large-scale testing of small molecules in genetically characterized cell lines. We hypothesized that compounds with high cell-line-selective lethality exhibited consistent results across such pharmacogenomic studies. We analyzed the compound sensitivity data of 6,259 lethal compounds from the NCI-60 project. A total of 2,565 cell-line-selective lethal compounds were identified and grouped into 18 clusters based on their median growth inhibitory GI50 profiles across the 60 cell lines, which were shown to represent distinct mechanisms of action. Further transcriptome analysis revealed a biomarker, NADPH abundance, for predicting sensitivity to ferroptosis-inducing compounds, which we experimentally validated. In summary, incorporating cell-line-selectivity filters improves the predictive power of pharmacogenomic analyses and enables discovery of biomarkers that predict the sensitivity of cells to specific cell death inducers.

Indexed as

PharmacogeneticsPrecision MedicineAntineoplastic AgentsBiomarkers, TumorCell DeathCell Line, TumorCell ProliferationDrug Screening Assays, AntitumorHumansNADPNeoplasmsAntineoplastic AgentsBiomarkers, TumorNADPcancer pharmacologydrug mechanisms of actionferroptosisNADPHpharmacogenomicstumor biomarkers

Identifiers

PMID26853626
PMCPMC4792701
OpenAlexW2286515888

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.