ArticleRadiation research2009
A radiation-derived gene expression signature predicts clinical outcome for breast cancer patients.
Article in Radiation research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Machine Learning & Molecular Radiation Tumor Biomarkers.Seminars in radiation oncology · 2023Review
- Development and Validation of a Genomic Profile for the Omission of Local Adjuvant Radiation in Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023Article
- Radiation Response in the Tumour Microenvironment: Predictive Biomarkers and Future Perspectives.Journal of personalized medicine · 2021Review
- Article
- Molecular Signatures of Radiation Response in Breast Cancer: Towards Personalized Decision-Making in Radiation Treatment.International journal of breast cancer · 2017Review
- Radiation-induced gene signature predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients.Radiation research · 2014Article
- Nanowire-mediated delivery enables functional interrogation of primary immune cells: application to the analysis of chronic lymphocytic leukemia.Nano letters · 2012Article
- Article
- Molecular biology: the key to personalised treatment in radiation oncology?The British journal of radiology · 2010Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Activation of the DNA damage response pathway is a hallmark for early tumorigenesis, while loss of pathway activity is associated with disease progression. Thus we hypothesized that a gene expression signature associated with the DNA damage response may serve as a prognostic signature for outcome in cancer patients. We identified ionizing radiation-responsive transcripts in human lymphoblast cells derived from 12 individuals and used this signature to screen a panel of cancer data sets for the ability to predict long-term survival of cancer patients. We demonstrate that gene sets induced or repressed by ionizing radiation can predict clinical outcome in two independent breast cancer data sets, and we compare the radiation signature to previously described gene expression-based outcome predictors. While genes repressed in response to radiation likely represent the well-characterized proliferation signature predictive of breast cancer outcome, genes induced by radiation likely encode additional information representing other deregulated biological properties of tumors such as checkpoint or apoptotic responses.
Indexed as
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.