Literature DB >> 28736238

The Pursuit of Therapeutic Biomarkers with High-Throughput Cancer Cell Drug Screens.

Steven P Williams1, Ultan McDermott2.   

Abstract

In the last decade we have witnessed tremendous advances in our understanding of the landscape of the molecular alterations that underpin many of the most prevalent cancers, in the use of automated high-throughput platforms for high-throughput drug screens in cancer cells, in the creation of more clinically relevant cancer cell models, and lastly in the development of more useful computational approaches in the pursuit of biomarkers of drug response. Separately, each of these improvements will undoubtedly lead to improvements in the treatment of cancer patients but to fulfill the promise of truly personalized cancer medicine, we must bring these disciplines together in a truly multidisciplinary fashion.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  cancer cell lines; drug screens

Mesh:

Substances:

Year:  2017        PMID: 28736238     DOI: 10.1016/j.chembiol.2017.06.011

Source DB:  PubMed          Journal:  Cell Chem Biol        ISSN: 2451-9448            Impact factor:   8.116


  8 in total

1.  Candidate therapeutic agents in a newly established triple wild-type mucosal melanoma cell line.

Authors:  Chaoji Shi; Ziyue Gu; Shengming Xu; Houyu Ju; Yunteng Wu; Yong Han; Jiayi Li; Chuwen Li; Jing Wu; Lizhen Wang; Jiang Li; Guoyu Zhou; Weimin Ye; Guoxin Ren; Zhiyuan Zhang; Rong Zhou
Journal:  Cancer Commun (Lond)       Date:  2022-06-04

2.  Precision Medicine in Head and Neck Cancer: Myth or Reality?

Authors:  Eoghan Malone; Lillian L Siu
Journal:  Clin Med Insights Oncol       Date:  2018-06-04

Review 3.  Drug Combination in Cancer Treatment-From Cocktails to Conjugated Combinations.

Authors:  Yosi Gilad; Gary Gellerman; David M Lonard; Bert W O'Malley
Journal:  Cancers (Basel)       Date:  2021-02-07       Impact factor: 6.639

4.  Identification of hub genes for early detection of bone metastasis in breast cancer.

Authors:  Zitong Zhao; Haoran Yang; Guangling Ji; Shanshan Su; Yuqi Fan; Minghao Wang; Shengli Gu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-29       Impact factor: 6.055

5.  Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature.

Authors:  Yoosup Chang; Hyejin Park; Hyun-Jin Yang; Seungju Lee; Kwee-Yum Lee; Tae Soon Kim; Jongsun Jung; Jae-Min Shin
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

6.  Identification of potential biomarkers in cervical cancer with combined public mRNA and miRNA expression microarray data analysis.

Authors:  Sizhe Wang; Xiaojin Chen
Journal:  Oncol Lett       Date:  2018-08-17       Impact factor: 2.967

Review 7.  Harnessing Synthetic Lethal Interactions for Personalized Medicine.

Authors:  Grace S Shieh
Journal:  J Pers Med       Date:  2022-01-12

8.  Identification of 5 Hub Genes Related to the Early Diagnosis, Tumour Stage, and Poor Outcomes of Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis.

Authors:  Rui Qiang; Zitong Zhao; Lu Tang; Qian Wang; Yanhong Wang; Qian Huang
Journal:  Comput Math Methods Med       Date:  2021-09-23       Impact factor: 2.238

  8 in total

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