ArticleCancer cell2017
Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays.
Article in Cancer cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 2 of them syntheses that pooled 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.
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
141 citing papers in PubMed, 2 syntheses or guidelines pooled it, 235 citations in OpenAlex.
- An integrated landscape of protein expression in human cancer.Scientific data · 2021Pooled it
- Multi-modal meta-analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor.Molecular systems biology · 2021Pooled it
- Trial
- Dasatinib, paclitaxel, and carboplatin in women with advanced-stage or recurrent endometrial cancer: A pilot clinical and translational study.Gynecologic oncology · 2021Trial
- Multi-omics characterization of molecular features of gastric cancer correlated with response to neoadjuvant chemotherapy.Science advances · 2020Trial
- Systematic pathway-level analysis defines conserved transcriptional divergence between primary lung tumors and cell line models.Animal models and experimental medicine · 2026Article
- Harnessing AI to fuse phenotypic signatures for drug target identification: progress in computational modeling.Briefings in bioinformatics · 2026Review
- Synthetic lethality in cancer drug discovery: challenges and opportunities.Nature reviews. Drug discovery · 2026Review
- Article
- Integrated multi-dimensional comparison of proteomic profiles across 54 cancer cell lines.iScience · 2025Article
- PD-L1 Expression is Mediated by microRNA Processing, Wnt/β-Catenin Signaling, and Chemotherapy in Wilms Tumor.Pediatric blood & cancer · 2025Article
- Azenosertib Is a Potent and Selective WEE1 Kinase Inhibitor with Broad Antitumor Activity Across a Range of Solid Tumors.Molecular cancer therapeutics · 2025Article
- Article
- Exploiting YES1-Driven EGFR Expression Improves the Efficacy of EGFR Inhibitors.Molecular cancer research : MCR · 2025Article
- Article
- DrBioRight 2.0: an LLM-powered bioinformatics chatbot for large-scale cancer functional proteomics analysis.Nature communications · 2025Article
- Accumulation of CD38 in Hybrid Epithelial/Mesenchymal Cells Promotes Immune Remodeling and Metastasis in Breast Cancer.Cancer research · 2025Article
- Role of Annexin 7 (ANXA7) as a Tumor Suppressor and a Regulator of Drug Resistance in Thyroid Cancer.International journal of molecular sciences · 2024Article
- A protein expression atlas on tissue samples and cell lines from cancer patients provides insights into tumor heterogeneity and dependencies.Nature cancer · 2024Article
- Y-box binding protein 1/cyclin A1 axis specifically promotes cell cycle progression at GScientific reports · 2024Article
81 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 3 institutions in 1 country.
Funding
Abstract
Cancer cell lines are major model systems for mechanistic investigation and drug development. However, protein expression data linked to high-quality DNA, RNA, and drug-screening data have not been available across a large number of cancer cell lines. Using reverse-phase protein arrays, we measured expression levels of ∼230 key cancer-related proteins in >650 independent cell lines, many of which have publically available genomic, transcriptomic, and drug-screening data. Our dataset recapitulates the effects of mutated pathways on protein expression observed in patient samples, and demonstrates that proteins and particularly phosphoproteins provide information for predicting drug sensitivity that is not available from the corresponding mRNAs. We also developed a user-friendly bioinformatic resource, MCLP, to help serve the biomedical research community.
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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.