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Personalized Cancer Therapy specifications


Unique identifier OMICS_15489
Name Personalized Cancer Therapy
Restrictions to use None
Community driven No
Data access Browse
User data submission Allowed
Content license CC Attribution-NonCommercial
Maintained Yes


  • Primates
    • Homo sapiens


  • person_outline Funda Meric-Bernstam

Personalized Cancer Therapy citations


The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: summary and innovation in genomics

BMC Genomics
PMCID: 5629612
PMID: 28984207
DOI: 10.1186/s12864-017-4018-6

[…] nce from single-cell DNA sequencing data” by Dr. Ken Chen, Associate Professor at the Department of Bioinformatics and Computational Biology and the Director of Bioinformatics of Khalifa Institute of Personalized Cancer Therapy, the University of Texas MD Anderson Cancer Center. Dr. Chen talked about how he overcame some of the computational challenges by developing a suite of new algorithms for s […]


Resources for Interpreting Variants in Precision Genomic Oncology Applications

PMCID: 5610688
PMID: 28975082
DOI: 10.3389/fonc.2017.00214

[…] ents can access a database entitled DNA-mutation Inventory to Refine and Enhance Cancer Treatment (DIRECT) for Epidermal Growth Factor Receptor (EGFR) mutation for non-small cell lung cancer (NSCLC). Personalized Cancer Therapy (PCT) at the MD Anderson Cancer Center is a resource for clinical response associated with cancer variants and aims to facilitate patient involvement in biomarker-related c […]


Proteogenomic integration reveals therapeutic targets in breast cancer xenografts

Nat Commun
PMCID: 5379071
PMID: 28348404
DOI: 10.1038/ncomms14864

[…] We compiled a list of druggable genes based on extensive curation of public databases: Tumor Alterations Relevant for GEnomics-driven Therapy (TARGET, version 3, assessed on 6/15/2015), Personalized Cancer Therapy (PCT, assessed on 3/15/2015), GDKD (Gene-Drug Knowledge Database, version 11.0, assessed on 4/10/2015), CancerDR (assessed on 2/6/2015), My Cancer Genome (assessed on 9/11/ […]


Major clinical research advances in gynecologic cancer in 2016: 10 year special edition

PMCID: 5391398
PMID: 28382802
DOI: 10.3802/jgo.2017.28.e45

[…] s. Despite the huge amount of research papers and textbooks available for accurate diagnosis, AI seems to have an infinite amount of potential to analyze. Therefore, there is a great expectation that personalized cancer therapy could be ideally realized through this attractive system (). There were a few notable reports of personalized cancer therapy applying AI in 2016.Kyrgiou et al. [] tried to […]


CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer

Nat Genet
PMCID: 5367263
PMID: 28138153
DOI: 10.1038/ng.3774

[…] The Clinical Interpretation of Variants in Cancer resource described by this work is available at Personalized Cancer Therapy Knowledgebase,; Precision Medicine Knowledgebase,; Cancer Genome Interpreter, https://www.cancergenomeinterprete […]


iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes

Genome Med
PMCID: 5180414
PMID: 28007024
DOI: 10.1186/s13073-016-0390-0

[…] e not only for personalized cancer driver analysis but also for analysis of rare variants arising from large-scale cancer genome sequencing projects.To better serve clinical researchers interested in personalized cancer therapy, we designed iCAGES to be one of the first tools for prioritizing personal cancer drugs. DGIdb [] is similar in terms of this functionality because it also generates a list […]


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Personalized Cancer Therapy institution(s)
Khalifa Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
Personalized Cancer Therapy funding source(s)
This site is supported through funds given generously to the Sheikh Khalifa al Nahyan Ben Zayed Institute of Personalized Cancer Therapy by The Bosarge Family Foundation. Other support was received from NCATS grant UL1 TR000371, 1U01 CA180964, the MD Anderson Cancer Center Support grant P30 CA016672 and the MD Anderson Cancer Center.

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