ArticleNeoplasia (New York, N.Y.)2011
G-DOC: a systems medicine platform for personalized oncology.
Article in Neoplasia (New York, N.Y.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis 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
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Shifting, overlapping and expanding use of "precision oncology" terminology: a retrospective literature analysis.BMJ open · 2020Pooled it
- Gene set analysis for time-to-event outcome: comparison of a new approach based on the generalized Berk-Jones statistic with existing methods in presence of intra gene-set correlation.Briefings in bioinformatics · 2026Article
- Cell Settling, Migration, and Stochastic Cancer Gene Expression Suggest Potassium Membrane Flux May Initiate pH Reversal.Biomolecules · 2025Article
- PMBC: a manually curated database for prognostic markers of breast cancer.Database : the journal of biological databases and curation · 2024Article
- Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features.Scientific data · 2022Article
- Glioma-derived CCL2 and CCL7 mediate migration of immune suppressive CCR2Frontiers in immunology · 2022Article
- SPTBN1 inhibits inflammatory responses and hepatocarcinogenesis via the stabilization of SOCS1 and downregulation of p65 in hepatocellular carcinoma.Theranostics · 2021Article
- Cell Lineage-Based Stratification for Glioblastoma.Cancer cell · 2020Article
- The REMBRANDT study, a large collection of genomic data from brain cancer patients.Scientific data · 2018Article
- Recent advances in "smart" delivery systems for extended drug release in cancer therapy.International journal of nanomedicine · 2018Review
- KM-express: an integrated online patient survival and gene expression analysis tool for the identification and functional characterization of prognostic markers in breast and prostate cancers.Database : the journal of biological databases and curation · 2018Article
- Exploring and visualizing multidimensional data in translational research platforms.Briefings in bioinformatics · 2017Article
- Secondary Use and Analysis of Big Data Collected for Patient Care.Yearbook of medical informatics · 2017Review
- Embracing an integromic approach to tissue biomarker research in cancer: Perspectives and lessons learned.Briefings in bioinformatics · 2017Article
- Synthesizer: Expediting synthesis studies from context-free data with information retrieval techniques.PloS one · 2017Article
- CINdex: A Bioconductor Package for Analysis of Chromosome Instability in DNA Copy Number Data.Cancer informatics · 2017Article
- Somatic cancer variant curation and harmonization through consensus minimum variant level data.Genome medicine · 2016Article
- G-DOC Plus - an integrative bioinformatics platform for precision medicine.BMC bioinformatics · 2016Article
- Estrogen-related receptor β (ERRβ) - renaissance receptor or receptor renaissance?Nuclear receptor signaling · 2016Review
- Big Data: the challenge for small research groups in the era of cancer genomics.British journal of cancer · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Currently, cancer therapy remains limited by a "one-size-fits-all" approach, whereby treatment decisions are based mainly on the clinical stage of disease, yet fail to reference the individual's underlying biology and its role driving malignancy. Identifying better personalized therapies for cancer treatment is hindered by the lack of high-quality "omics" data of sufficient size to produce meaningful results and the ability to integrate biomedical data from disparate technologies. Resolving these issues will help translation of therapies from research to clinic by helping clinicians develop patient-specific treatments based on the unique signatures of patient's tumor. Here we describe the Georgetown Database of Cancer (G-DOC), a Web platform that enables basic and clinical research by integrating patient characteristics and clinical outcome data with a variety of high-throughput research data in a unified environment. While several rich data repositories for high-dimensional research data exist in the public domain, most focus on a single-data type and do not support integration across multiple technologies. Currently, G-DOC contains data from more than 2500 breast cancer patients and 800 gastrointestinal cancer patients, G-DOC includes a broad collection of bioinformatics and systems biology tools for analysis and visualization of four major "omics" types: DNA, mRNA, microRNA, and metabolites. We believe that G-DOC will help facilitate systems medicine by providing identification of trends and patterns in integrated data sets and hence facilitate the use of better targeted therapies for cancer. A set of representative usage scenarios is provided to highlight the technical capabilities of this resource.
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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.