ReviewCancer research2015
A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens.
Review in Cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed.
- Expression of Bruton's Tyrosine Kinase Reflects Immune Cells Infiltration and Cell Proliferation in Breast Cancer.World journal of oncology · 2026Article
- Applications of Natural Language Processing in Otolaryngology: A Scoping Review.The Laryngoscope · 2025Article
- Mesothelin (MSLN) is Highly Expressed in Triple Negative Breast Cancer and is Associated with Enhanced Cell Proliferation and Proinflammatory Tumor Microenvironment.Annals of surgical oncology · 2025Article
- The American Joint Committee on Cancer (AJCC) Breast Cancer Staging, Eighth Edition, is more Reflective of Cancer Biology than the Seventh Edition.Annals of surgical oncology · 2025Article
- Predicting Nottingham grade in breast cancer digital pathology using a foundation model.Breast cancer research : BCR · 2025Article
- REDCap and the National Mesothelioma Virtual Bank-a scalable and sustainable model for rare disease biorepositories.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Article
- Development of a distributed international patient data registry for hairy cell leukemia.Leukemia & lymphoma · 2022Article
- Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing.JCO clinical cancer informatics · 2022Article
- Construction of the National Brain Tumor Registry of China for better management and more efficient use of data: a protocol.BMJ open · 2021Article
- Global Trend in Research and Development of CDK4/6 Inhibitors for Clinical Cancer Therapy: A Bibliometric Analysis.Journal of Cancer · 2021Article
- MYC Targets Scores Are Associated with Cancer Aggressiveness and Poor Survival in ER-Positive Primary and Metastatic Breast Cancer.International journal of molecular sciences · 2020Article
- Molecular Biological Features of Nottingham Histological Grade 3 Breast Cancers.Annals of surgical oncology · 2020Article
- CD8 T Cell Score as a Prognostic Biomarker for Triple Negative Breast Cancer.International journal of molecular sciences · 2020Article
- Article
- Patient treatment and outcome after breast cancer orbital and periorbital metastases: a comprehensive case series including analysis of lobular versus ductal tumor histology.Breast cancer research : BCR · 2020Article
- Lymphovascular invasion in breast cancer is associated with gene expression signatures of cell proliferation but not lymphangiogenesis or immune response.Breast cancer research and treatment · 2020Article
- G2M Cell Cycle Pathway Score as a Prognostic Biomarker of Metastasis in Estrogen Receptor (ER)-Positive Breast Cancer.International journal of molecular sciences · 2020Article
- Workshop summary: Potential usefulness and feasibility of a US National Mesothelioma Registry.American journal of industrial medicine · 2020Article
- APOBEC3-Mediated RNA Editing in Breast Cancer is Associated with Heightened Immune Activity and Improved Survival.International journal of molecular sciences · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cancer centers formed the Text Information Extraction System (TIES) Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions. Member sites can access pathology data that are de-identified and processed with the TIES natural language processing system, which creates a repository of rich phenotype data linked to clinical biospecimens. TIES incorporates multiple security and privacy best practices that, combined with legal agreements, network policies, and procedures, enable regulatory compliance. The TIES Cancer Research Network now provides integrated access to investigators at all member institutions, where multiple investigator-driven pilot projects are underway. Examples of federated search across the network illustrate the potential impact on translational research, particularly for studies involving rare cancers, rare phenotypes, and specific biologic behaviors. The network satisfies several key desiderata including local control of data and credentialing, inclusion of rich phenotype information, and applicability to diverse research objectives. The TIES Cancer Research Network presents a model for a national data and biospecimen network.
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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.