ReviewClinical cancer research : an official journal of the American Association for Cancer Research2013
Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology.
Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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Who cites it
20 citing papers in PubMed.
- Preoperative prediction of CNS WHO grade and tumour aggressiveness in intracranial meningioma based on radiomics and structured semantics.Scientific reports · 2024Article
- To metabolomics and beyond: a technological portfolio to investigate cancer metabolism.Signal transduction and targeted therapy · 2023Review
- Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics.Diagnostic and interventional radiology (Ankara, Turkey) · 2022Review
- Review
- Making External Validation Valid for Molecular Classifier Development.JCO precision oncology · 2021Article
- A qualitative transcriptional signature for predicting the biochemical recurrence risk of prostate cancer patients after radical prostatectomy.The Prostate · 2020Article
- Identification of significant gene biomarkers of low back pain caused by changes in the osmotic pressure of nucleus pulposus cells.Scientific reports · 2020Article
- Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings.Computational and mathematical methods in medicine · 2020Article
- Metabolomics technology and bioinformatics for precision medicine.Briefings in bioinformatics · 2019Review
- Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives.Korean journal of radiology · 2019Review
- The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features.Scientific reports · 2019Article
- Specific miRNA Disease Biomarkers in Blood, Serum and Plasma: Challenges and Prospects.Molecular diagnosis & therapy · 2016Review
- Differential distribution improves gene selection stability and has competitive classification performance for patient survival.Nucleic acids research · 2016Article
- Multi-omics landscapes of colorectal cancer subtypes discriminated by an individualized prognostic signature for 5-fluorouracil-based chemotherapy.Oncogenesis · 2016Article
- An individualized prognostic signature and multi‑omics distinction for early stage hepatocellular carcinoma patients with surgical resection.Oncotarget · 2016Article
- mRNAs and miRNAs in whole blood associated with lung hyperplasia, fibrosis, and bronchiolo-alveolar adenoma and adenocarcinoma after multi-walled carbon nanotube inhalation exposure in mice.Journal of applied toxicology : JAT · 2016Article
- Molecular portraits: the evolution of the concept of transcriptome-based cancer signatures.Briefings in bioinformatics · 2015Review
- mRNA and miRNA regulatory networks reflective of multi-walled carbon nanotube-induced lung inflammatory and fibrotic pathologies in mice.Toxicological sciences : an official journal of the Society of Toxicology · 2015Article
- Blocking and randomization to improve molecular biomarker discovery.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014Article
- A novel approach to the discovery of survival biomarkers in glioblastoma using a joint analysis of DNA methylation and gene expression.Epigenetics · 2014Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
The progressive introduction of high-throughput molecular techniques in the clinic allows for the extensive and systematic exploration of multiple biologic layers of tumors. Molecular profiles and classifiers generated from these assays represent the foundation of what the National Academy describes as the future of "precision medicine". However, the analysis of such complex data requires the implementation of sophisticated bioinformatic and statistical procedures. It is critical that oncology practitioners be aware of the advantages and limitations of the methods used to generate classifiers to usher them into the clinic. This article uses publicly available expression data from patients with non-small cell lung cancer to first illustrate the challenges of experimental design and preprocessing of data before clinical application and highlights the challenges of high-dimensional statistical analysis. It provides a roadmap for the translation of such classifiers to clinical practice and makes key recommendations for good practice.
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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.