ArticleGenome medicine2010
Predictive biomarker discovery through the parallel integration of clinical trial and functional genomics datasets.
Article in Genome medicine, 2010. 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
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
20 citing papers in PubMed, 43 citations in OpenAlex.
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- Toward rapamycin analog (rapalog)-based precision cancer therapy.Acta pharmacologica Sinica · 2015Review
- Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing.Science (New York, N.Y.) · 2014Article
- Genomic Analysis as the First Step toward Personalized Treatment in Renal Cell Carcinoma.Frontiers in oncology · 2014Review
- Individualising treatment choices in a crowded treatment algorithm.EJC supplements : EJC : official journal of EORTC, European Organization for Research and Treatment of Cancer ... [et al.] · 2013Review
- Tumour heterogeneity and immune-modulation.Current opinion in pharmacology · 2013Review
- The use of reverse phase protein arrays (RPPA) to explore protein expression variation within individual renal cell cancers.Journal of visualized experiments : JoVE · 2013Article
- Intratumor heterogeneity: evolution through space and time.Cancer research · 2012Review
- A comprehensive overview of targeted therapy in metastatic renal cell carcinoma.Current cancer drug targets · 2012Review
- Prognostic markers in renal cell carcinoma: A focus on the 'mammalian target of rapamycin' pathway.Arab journal of urology · 2012Review
- Epigenetic regulation in RCC: opportunities for therapeutic intervention?Nature reviews. Urology · 2012Review
- Inter and intratumour heterogeneity: a barrier to individualized medical therapy in renal cell carcinoma?Frontiers in oncology · 2012Article
- Delivering preventive, predictive and personalised cancer medicine for renal cell carcinoma: the challenge of tumour heterogeneity.The EPMA journal · 2011Article
- Review
- Targeting the Mammalian Target of Rapamycin (mTOR) in Cancer Therapy: Lessons from Past and Future Perspectives.Cancers · 2011Article
- What can molecular pathology contribute to the management of renal cell carcinoma?Nature reviews. Urology · 2011Review
- Renal cell cancer: what can we learn from pre-operative studies?Frontiers in oncology · 2011Article
- Integrating molecular mechanisms and clinical evidence in the management of trastuzumab resistant or refractory HER-2⁺ metastatic breast cancer.The oncologist · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 11 institutions in 5 countries.
Funding
Abstract
The European Union multi-disciplinary Personalised RNA interference to Enhance the Delivery of Individualised Cytotoxic and Targeted therapeutics (PREDICT) consortium has recently initiated a framework to accelerate the development of predictive biomarkers of individual patient response to anti-cancer agents. The consortium focuses on the identification of reliable predictive biomarkers to approved agents with anti-angiogenic activity for which no reliable predictive biomarkers exist: sunitinib, a multi-targeted tyrosine kinase inhibitor and everolimus, a mammalian target of rapamycin (mTOR) pathway inhibitor. Through the analysis of tumor tissue derived from pre-operative renal cell carcinoma (RCC) clinical trials, the PREDICT consortium will use established and novel methods to integrate comprehensive tumor-derived genomic data with personalized tumor-derived small hairpin RNA and high-throughput small interfering RNA screens to identify and validate functionally important genomic or transcriptomic predictive biomarkers of individual drug response in patients. PREDICT's approach to predictive biomarker discovery differs from conventional associative learning approaches, which can be susceptible to the detection of chance associations that lead to overestimation of true clinical accuracy. These methods will identify molecular pathways important for survival and growth of RCC cells and particular targets suitable for therapeutic development. Importantly, our results may enable individualized treatment of RCC, reducing ineffective therapy in drug-resistant disease, leading to improved quality of life and higher cost efficiency, which in turn should broaden patient access to beneficial therapeutics, thereby enhancing clinical outcome and cancer survival. The consortium will also establish and consolidate a European network providing the technological and clinical platform for large-scale functional genomic biomarker discovery. Here we review our current understanding of molecular mechanisms driving resistance to anti-angiogenesis agents, the current limitations of laboratory and clinical trial strategies and how the PREDICT consortium will endeavor to identify a new generation of predictive biomarkers.
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.