Literature DB >> 22781697

Combinatorial drug therapy for cancer in the post-genomic era.

Bissan Al-Lazikani1, Udai Banerji, Paul Workman.   

Abstract

Over the past decade, whole genome sequencing and other 'omics' technologies have defined pathogenic driver mutations to which tumor cells are addicted. Such addictions, synthetic lethalities and other tumor vulnerabilities have yielded novel targets for a new generation of cancer drugs to treat discrete, genetically defined patient subgroups. This personalized cancer medicine strategy could eventually replace the conventional one-size-fits-all cytotoxic chemotherapy approach. However, the extraordinary intratumor genetic heterogeneity in cancers revealed by deep sequencing explains why de novo and acquired resistance arise with molecularly targeted drugs and cytotoxic chemotherapy, limiting their utility. One solution to the enduring challenge of polygenic cancer drug resistance is rational combinatorial targeted therapy.

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Year:  2012        PMID: 22781697     DOI: 10.1038/nbt.2284

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  160 in total

1.  Everolimus in postmenopausal hormone-receptor-positive advanced breast cancer.

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Journal:  N Engl J Med       Date:  2011-12-07       Impact factor: 91.245

Review 2.  Adaptive clinical trials in oncology.

Authors:  Donald A Berry
Journal:  Nat Rev Clin Oncol       Date:  2011-11-08       Impact factor: 66.675

3.  Systems biology and new technologies enable predictive and preventative medicine.

Authors:  Leroy Hood; James R Heath; Michael E Phelps; Biaoyang Lin
Journal:  Science       Date:  2004-10-22       Impact factor: 47.728

4.  Optimization of dosing for EGFR-mutant non-small cell lung cancer with evolutionary cancer modeling.

Authors:  Juliann Chmielecki; Jasmine Foo; Geoffrey R Oxnard; Katherine Hutchinson; Kadoaki Ohashi; Romel Somwar; Lu Wang; Katherine R Amato; Maria Arcila; Martin L Sos; Nicholas D Socci; Agnes Viale; Elisa de Stanchina; Michelle S Ginsberg; Roman K Thomas; Mark G Kris; Akira Inoue; Marc Ladanyi; Vincent A Miller; Franziska Michor; William Pao
Journal:  Sci Transl Med       Date:  2011-07-06       Impact factor: 17.956

5.  Reactome: a database of reactions, pathways and biological processes.

Authors:  David Croft; Gavin O'Kelly; Guanming Wu; Robin Haw; Marc Gillespie; Lisa Matthews; Michael Caudy; Phani Garapati; Gopal Gopinath; Bijay Jassal; Steven Jupe; Irina Kalatskaya; Shahana Mahajan; Bruce May; Nelson Ndegwa; Esther Schmidt; Veronica Shamovsky; Christina Yung; Ewan Birney; Henning Hermjakob; Peter D'Eustachio; Lincoln Stein
Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

Review 6.  Development of therapeutic combinations targeting major cancer signaling pathways.

Authors:  Timothy A Yap; Aurelius Omlin; Johann S de Bono
Journal:  J Clin Oncol       Date:  2013-03-18       Impact factor: 44.544

7.  Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks.

Authors:  Michael J Lee; Albert S Ye; Alexandra K Gardino; Anne Margriet Heijink; Peter K Sorger; Gavin MacBeath; Michael B Yaffe
Journal:  Cell       Date:  2012-05-11       Impact factor: 41.582

8.  Life in the fast lane: mammalian disease models in the genomics era.

Authors:  Lukas E Dow; Scott W Lowe
Journal:  Cell       Date:  2012-03-16       Impact factor: 41.582

9.  RAF inhibitor resistance is mediated by dimerization of aberrantly spliced BRAF(V600E).

Authors:  Poulikos I Poulikakos; Yogindra Persaud; Manickam Janakiraman; Xiangju Kong; Charles Ng; Gatien Moriceau; Hubing Shi; Mohammad Atefi; Bjoern Titz; May Tal Gabay; Maayan Salton; Kimberly B Dahlman; Madhavi Tadi; Jennifer A Wargo; Keith T Flaherty; Mark C Kelley; Tom Misteli; Paul B Chapman; Jeffrey A Sosman; Thomas G Graeber; Antoni Ribas; Roger S Lo; Neal Rosen; David B Solit
Journal:  Nature       Date:  2011-11-23       Impact factor: 49.962

10.  Inhibitors of HSP90 block p95-HER2 signaling in Trastuzumab-resistant tumors and suppress their growth.

Authors:  S Chandarlapaty; M Scaltriti; P Angelini; Q Ye; M Guzman; C A Hudis; L Norton; D B Solit; J Arribas; J Baselga; N Rosen
Journal:  Oncogene       Date:  2009-10-26       Impact factor: 9.867

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  311 in total

Review 1.  Polymeric Nanostructures for Imaging and Therapy.

Authors:  Mahmoud Elsabahy; Gyu Seong Heo; Soon-Mi Lim; Guorong Sun; Karen L Wooley
Journal:  Chem Rev       Date:  2015-08-04       Impact factor: 60.622

2.  Preclinical activity of the repurposed drug auranofin in classical Hodgkin lymphoma.

Authors:  Marta Celegato; Cinzia Borghese; Naike Casagrande; Maurizio Mongiat; Xaver U Kahle; Alice Paulitti; Michele Spina; Alfonso Colombatti; Donatella Aldinucci
Journal:  Blood       Date:  2015-07-30       Impact factor: 22.113

3.  Massively parallel high-order combinatorial genetics in human cells.

Authors:  Alan S L Wong; Gigi C G Choi; Allen A Cheng; Oliver Purcell; Timothy K Lu
Journal:  Nat Biotechnol       Date:  2015-08-17       Impact factor: 54.908

4.  Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM.

Authors:  Alan S L Wong; Gigi C G Choi; Cheryl H Cui; Gabriela Pregernig; Pamela Milani; Miriam Adam; Samuel D Perli; Samuel W Kazer; Aleth Gaillard; Mario Hermann; Alex K Shalek; Ernest Fraenkel; Timothy K Lu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-10       Impact factor: 11.205

Review 5.  Preclinical mouse cancer models: a maze of opportunities and challenges.

Authors:  Chi-Ping Day; Glenn Merlino; Terry Van Dyke
Journal:  Cell       Date:  2015-09-24       Impact factor: 41.582

6.  High-Content Screening Comparison of Cancer Drug Accumulation and Distribution in Two-Dimensional and Three-Dimensional Culture Models of Head and Neck Cancer.

Authors:  Feng Shan; David A Close; Daniel P Camarco; Paul A Johnston
Journal:  Assay Drug Dev Technol       Date:  2017-12-07       Impact factor: 1.738

7.  Expansion of patient-derived circulating tumor cells from liquid biopsies using a CTC microfluidic culture device.

Authors:  Bee Luan Khoo; Gianluca Grenci; Ying Bena Lim; Soo Chin Lee; Jongyoon Han; Chwee Teck Lim
Journal:  Nat Protoc       Date:  2017-12-07       Impact factor: 13.491

8.  Predicting Drug Response in Human Prostate Cancer from Preclinical Analysis of In Vivo Mouse Models.

Authors:  Antonina Mitrofanova; Alvaro Aytes; Min Zou; Michael M Shen; Cory Abate-Shen; Andrea Califano
Journal:  Cell Rep       Date:  2015-09-17       Impact factor: 9.423

Review 9.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03

10.  A tumor deconstruction platform identifies definitive end points in the evaluation of drug responses.

Authors:  R R Naik; A K Singh; A M Mali; M F Khirade; S A Bapat
Journal:  Oncogene       Date:  2015-04-27       Impact factor: 9.867

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