Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

In vitro human cell line models to predict clinical response to anticancer drugs.

Pharmacogenomics - 1 Jan 2015

Niu Nifang, Wang Liewei

Abstract excerpt

In vitro human cell line models have been widely used for cancer pharmacogenomic studies to predict clinical response, to help generate pharmacogenomic hypothesis for further testing, and to help identify novel mechanisms associated with variation in drug response. Among cell line model systems, immortalized cell lines such as Epstein-Barr virus (EBV)-transformed lymphoblastoid cell lines (LCLs) have been used...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cell Line, Transformed
Share to Colorectal Neoplasms
Share to Drug Screening Assays, Antitumor

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to HapMap Project

Share to Herpesvirus 4, Human

Share to In Vitro Techniques

Share to Induced Pluripotent Stem Cells

Share to Tumor Microenvironment

Source

Open in PubMed Open full text

Identifiers

PMID: 25712190
DOI: 10.2217/pgs.14.170
PMCID: PMC4358765

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

In vitro human cell line models to predict clinical response to anticancer drugs.PMID 25712190Read ↗

Cell line modeling for systems medicine in cancers (Review)Semantic proximity Read ↗

Cell line-based platforms to evaluate the therapeutic efficacy of candidate anticancer agents.Semantic proximity Read ↗

Optimization of cell lines as tumour models by integrating multi-omics data.Semantic proximity Read ↗

Use of cell lines in the investigation of pharmacogenetic loci.Semantic proximity Read ↗

Cancer Cell Lines Are Useful Model Systems for Medical ResearchSemantic proximity Read ↗

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivitySemantic proximity Read ↗

Comprehensive transcriptomic analysis of cell lines as models of primary tumor samples across 22 tumor typesSemantic proximity Read ↗

Finding the best cell lines across pan-cancer to use in pre-clinical research as a proxy for patient tumor samples considering immune cells, multi-omics, and cancer pathwaysSemantic proximity Read ↗

Lymphoblastoid Cell Lines in Pharmacogenomic Discovery and Clinical TranslationSemantic proximity Read ↗

The evolving role of cancer cell line-based screens to define the impact of cancer genomes on drug responseSemantic proximity Read ↗

Lymphoblastoid cell lines models of drug response: successes and lessons from this pharmacogenomic model.Semantic proximity Read ↗

Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.