Literature DB >> 24501303

Navigating the challenge of tumor heterogeneity in cancer therapy.

Clare Fedele1, Richard W Tothill, Grant A McArthur.   

Abstract

The future of cancer treatment lies in personalized strategies designed to specifically target tumorigenic cell populations present in an individual. Although recent advances in directed therapies have greatly improved patient outcomes in some cancers, intuitive drug design is proving more difficult than expected owing largely to the complexity of human cancers. Intratumoral heterogeneity, the presence of multiple genotypically and/or phenotypically distinct cell subpopulations within a single tumor, is a likely cause of drug resistance. Advances in systems biology are helping to unravel the mysteries of cancer progression. In this issue of Cancer Discovery, Zhao and colleagues define a path for functional validation of computational modeling in the context of heterogeneous tumor populations and their potential for drug response and resistance. 2014 AACR

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Year:  2014        PMID: 24501303     DOI: 10.1158/2159-8290.CD-13-1042

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  20 in total

1.  Spatially multiplexed RNA in situ hybridization to reveal tumor heterogeneity.

Authors:  Lena Voith von Voithenberg; Anna Fomitcheva Khartchenko; Deborah Huber; Peter Schraml; Govind V Kaigala
Journal:  Nucleic Acids Res       Date:  2020-02-20       Impact factor: 16.971

2.  A Perspective on Implementing a Quantitative Systems Pharmacology Platform for Drug Discovery and the Advancement of Personalized Medicine.

Authors:  Andrew M Stern; Mark E Schurdak; Ivet Bahar; Jeremy M Berg; D Lansing Taylor
Journal:  J Biomol Screen       Date:  2016-03-08

Review 3.  Antitumor Antibodies Can Drive Therapeutic T Cell Responses.

Authors:  K Dane Wittrup
Journal:  Trends Cancer       Date:  2017-07-29

Review 4.  Therapeutic potential of mTOR inhibitors for targeting cancer stem cells.

Authors:  Maria Giovanna Francipane; Eric Lagasse
Journal:  Br J Clin Pharmacol       Date:  2015-12-26       Impact factor: 4.335

5.  Establishment of a Prognostic Model of Lung Adenocarcinoma Based on Tumor Heterogeneity.

Authors:  Pengdou Zheng; Huojun Zhang; Weiling Jiang; Lingling Wang; Lu Liu; Yuhao Zhou; Ling Zhou; Huiguo Liu
Journal:  Front Mol Biosci       Date:  2022-04-11

Review 6.  Next-generation clinical trials: Novel strategies to address the challenge of tumor molecular heterogeneity.

Authors:  Daniel V T Catenacci
Journal:  Mol Oncol       Date:  2014-10-18       Impact factor: 6.603

Review 7.  Tumour heterogeneity and the evolution of polyclonal drug resistance.

Authors:  Rebecca A Burrell; Charles Swanton
Journal:  Mol Oncol       Date:  2014-07-10       Impact factor: 6.603

8.  Simultaneous expression of cancer stem cell-like properties and cancer-associated fibroblast-like properties in a primary culture of breast cancer cells.

Authors:  Mami Ishikawa; Takahiro Inoue; Takuma Shirai; Kazuhiko Takamatsu; Shiori Kunihiro; Hirokazu Ishii; Takahito Nishikata
Journal:  Cancers (Basel)       Date:  2014-07-31       Impact factor: 6.639

9.  Identifying and quantifying heterogeneity in high content analysis: application of heterogeneity indices to drug discovery.

Authors:  Albert H Gough; Ning Chen; Tong Ying Shun; Timothy R Lezon; Robert C Boltz; Celeste E Reese; Jacob Wagner; Lawrence A Vernetti; Jennifer R Grandis; Adrian V Lee; Andrew M Stern; Mark E Schurdak; D Lansing Taylor
Journal:  PLoS One       Date:  2014-07-18       Impact factor: 3.240

Review 10.  Perspective on the dynamics of cancer.

Authors:  Youcef Derbal
Journal:  Theor Biol Med Model       Date:  2017-10-03       Impact factor: 2.432

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