Literature DB >> 28527522

Precision Medicine: Genomic Profiles to Individualize Therapy.

Oscar E Streeter1, Phillip J Beron2, Prashant Natarajan Iyer3.   

Abstract

Precision medicine is the application of genotypic and Omics biomarkers to determine the most appropriate, outcome-driven therapy for individual patients. To determine the best choice of therapy, institutions use significant information technology-enabled data from imaging, electronic medical records, sensors in the clinic/hospitals, and wearable sensors to determine treatment response. With genomic profiling, targets to affect a disease course are continuing to be developed. As clonal mutational prevalence continues to be understood, information can be communicated to patients to inform them that resistance is common, requiring collection of more genetic mutations from patients with further biopsies or blood collection.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Big data; Checkpoint inhibitors; Genomic profiling; Hyperthermia; Immunotherapy; Machine learning; Precision medicine; Radiogenomics

Mesh:

Substances:

Year:  2017        PMID: 28527522     DOI: 10.1016/j.otc.2017.03.012

Source DB:  PubMed          Journal:  Otolaryngol Clin North Am        ISSN: 0030-6665            Impact factor:   3.346


  3 in total

Review 1.  Trisomy 21 with t(5; 11) chromosomal translocation as new unfavorable cytogenetic abnormalities in pediatric acute myeloid leukemia type M2: One case report of nine-year follow-up and literature review.

Authors:  Lin Wang; Xiao-Yan Wu; Run-Ming Jin; Bing-Yu Zhang; Yi-Ning Qiu
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-10-20

2.  Bile cell‑free DNA as a novel and powerful liquid biopsy for detecting somatic variants in biliary tract cancer.

Authors:  Ningjia Shen; Dadong Zhang; Lei Yin; Yinghe Qiu; Jian Liu; Wenlong Yu; Xiaohui Fu; Bin Zhu; Xiaoya Xu; Anqi Duan; Zishuo Chen; Xiang Wang; Xinkai Cao; Teng Zhao; Zisong Zhou; Lianghe Yu; Hao Qin; Zheng Fang; Jing-Yu Li; Yuanjin Liu; Lei Xiong; Bo Yuan; Fugen Li; Yongjie Zhang
Journal:  Oncol Rep       Date:  2019-05-31       Impact factor: 3.906

Review 3.  Computational Oncology in the Multi-Omics Era: State of the Art.

Authors:  Guillermo de Anda-Jáuregui; Enrique Hernández-Lemus
Journal:  Front Oncol       Date:  2020-04-07       Impact factor: 6.244

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.