Modeling precision treatment of breast cancer
| العنوان: | Modeling precision treatment of breast cancer |
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| المؤلفون: | Daemen, Anneleen, Griffith, Obi L., Heiser, Laura M., Wang, Nicholas J., Enache, Oana M., Sanborn, Zachary, Pepin, Francois, Durinck, Steffen, Korkola, James E., Griffith, Malachi, Hur, Joe S., Huh, Nam Samsung Advanced Inst. of Technology, Kyunggi-do, Chung, Jongsuk Samsung Advanced Inst. of Technology, Kyunggi-do, Cope, Leslie Johns Hopkins Univ., Baltimore, MD . Dept. of Oncology, Fackler, Mary Johns Hopkins Univ., Baltimore, MD . Dept. of Oncology, Umbricht, Christopher Johns Hopkins Univ., Baltimore, MD . Dept. of Oncology, Sukumar, Saraswati Johns Hopkins Univ., Baltimore, MD . Dept. of Oncology, Seth, Pankaj Harvard Medical School, Boston, MA . Beth Israel Deaconess Medical Center. Dept. of Medicine, Sukhatme, Vikas P. Harvard Medical School, Boston, MA . Beth Israel Deaconess Medical Center. Dept. of Medicine, Jakkula, Lakshmi R. Lawrence Berkeley National Lab. , Berkeley, CA . Life Sciences Division. Dept. of Cancer and DNA Damage Responses, Lu, Yiling MD Anderson Cancer Center, Houston, TX . Dept. of Systems Biology, Mills, Gordon B. MD Anderson Cancer Center, Houston, TX . Dept. of Systems Biology, Cho, Raymond J. Univ. of California, San Francisco, CA . Dept. of Dermatology, Collisson, Eric A. Lawrence Berkeley National Lab. , Berkeley, CA . Life Sciences Division. Dept. of Cancer and DNA Damage Responses, Univ. of California, San Francisco, CA . Lab. Medicine, van’t Veer, Laura J. Univ. of California, San Francisco, CA . Lab. Medicine, Spellman, Paul T. Lawrence Berkeley National Lab. , Berkeley, CA . Life Sciences Division. Dept. of Cancer and DNA Damage Responses, Oregon Health and Science Univ., Portland, OR . Dept. of Molecular and Medical Genetics, Gray, Joe W. Lawrence Berkeley National Lab. , Berkeley, CA . Life Sciences Division. Dept. of Cancer and DNA Damage Responses, Oregon Health and Science Univ., Portland, OR . Knight Cancer Inst. Center for Spatial Systems Biomedicine. Dept. of Biomedical Engineering |
| سنة النشر: | 2023 |
| المجموعة: | SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
| مصطلحات موضوعية: | 59 BASIC BIOLOGICAL SCIENCES |
| الوصف: | Background: First-generation molecular profiles for human breast cancers have enabled the identification of features that can predict therapeutic response; however, little is known about how the various data types can best be combined to yield optimal predictors. Collections of breast cancer cell lines mirror many aspects of breast cancer molecular pathobiology, and measurements of their omic and biological therapeutic responses are well-suited for development of strategies to identify the most predictive molecular feature sets. Results: We used least squares-support vector machines and random forest algorithms to identify molecular features associated with responses of a collection of 70 breast cancer cell lines to 90 experimental or approved therapeutic agents. The datasets analyzed included measurements of copy number aberrations, mutations, gene and isoform expression, promoter methylation and protein expression. Transcriptional subtype contributed strongly to response predictors for 25% of compounds, and adding other molecular data types improved prediction for 65%. No single molecular dataset consistently out-performed the others, suggesting that therapeutic response is mediated at multiple levels in the genome. Response predictors were developed and applied to TCGA data, and were found to be present in subsets of those patient samples. Conclusions: These results suggest that matching patients to treatments based on transcriptional subtype will improve response rates, and inclusion of additional features from other profiling data types may provide additional benefit. Further, we suggest a systems biology strategy for guiding clinical trials so that patient cohorts most likely to respond to new therapies may be more efficiently identified. |
| نوع الوثيقة: | other/unknown material |
| وصف الملف: | application/pdf |
| اللغة: | unknown |
| العلاقة: | http://www.osti.gov/servlets/purl/1626741Test; https://www.osti.gov/biblio/1626741Test; https://doi.org/10.1186/gb-2013-14-10-r110Test |
| DOI: | 10.1186/gb-2013-14-10-r110 |
| الإتاحة: | https://doi.org/10.1186/gb-2013-14-10-r110Test http://www.osti.gov/servlets/purl/1626741Test https://www.osti.gov/biblio/1626741Test |
| رقم الانضمام: | edsbas.951BD177 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1186/gb-2013-14-10-r110 |
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