Independent Drug Action in Combination Therapy: Implications for Precision Oncology

被引:173
作者
Plana, Deborah [1 ,2 ,3 ]
Palmer, Adam C. [4 ]
Sorger, Peter K. [1 ,2 ]
机构
[1] Harvard Med Sch, Lab Syst Pharmacol, Boston, MA 02115 USA
[2] Harvard Med Sch, Dept Syst Biol, Boston, MA 02115 USA
[3] Harvard MIT Div Hlth Sci & Technol, Cambridge, MA USA
[4] Univ N Carolina, Dept Pharmacol, Computat Med Program, UNC Lineberger Comprehens Canc Ctr, Chapel Hill, NC USA
关键词
METASTATIC BREAST-CANCER; PHARMACODYNAMIC BIOMARKERS; TUMOR HETEROGENEITY; SINGLE-AGENT; LUNG-CANCER; SYNERGY; CHEMOTHERAPY; EVOLUTION; MELANOMA; BRAF;
D O I
10.1158/2159-8290.CD-21-0212
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Combination therapies are superior to monotherapy for many cancers. This advan-tage was historically ascribed to the ability of combinations to address tumor heterogeneity, but synergistic interaction is now a common explanation as well as a design criterion for new combinations. We review evidence that independent drug action, described in 1961, explains the efficacy of many practice-changing combination therapies: it provides populations of patients with heterogeneous drug sensitivities multiple chances of benefit from at least one drug. Understanding response heterogeneity could reveal predictive or pharmacodynamic biomarkers for more precise use of existing drugs and realize the benefits of additivity or synergy. Significance: The model of independent drug action represents an effective means to predict the mag-nitude of benefi t likely to be observed in new clinical trials for combination therapies. The "bet-hedging" strategy implicit in independent action suggests that individual patients often benefi t from only a subset-sometimes one-of the drugs in a combination. Personalized, targeted combination therapy, consisting of agents likely to be active in a particular patient, will increase, perhaps substantially, the magnitude of therapeutic benefi t. Precision approaches of this type will require a better understand-ing of variability in drug response and new biomarkers, which will entail preclinical research on diverse panels of cancer models rather than studying drug synergy in unusually sensitive models.
引用
收藏
页码:606 / 624
页数:19
相关论文
共 137 条
[1]   Combinatorial drug therapy for cancer in the post-genomic era [J].
Al-Lazikani, Bissan ;
Banerji, Udai ;
Workman, Paul .
NATURE BIOTECHNOLOGY, 2012, 30 (07) :679-691
[2]   Multiplexed ion beam imaging of human breast tumors [J].
Angelo, Michael ;
Bendall, Sean C. ;
Finck, Rachel ;
Hale, Matthew B. ;
Hitzman, Chuck ;
Borowsky, Alexander D. ;
Levenson, Richard M. ;
Lowe, John B. ;
Liu, Scot D. ;
Zhao, Shuchun ;
Natkunam, Yasodha ;
Nolan, Garry P. .
NATURE MEDICINE, 2014, 20 (04) :436-+
[3]   Rationalizing combination therapies [J].
不详 .
NATURE MEDICINE, 2017, 23 (10) :1113-1113
[4]   A community computational challenge to predict the activity of pairs of compounds [J].
Bansal, Mukesh ;
Yang, Jichen ;
Karan, Charles ;
Menden, Michael P. ;
Costello, James C. ;
Tang, Hao ;
Xiao, Guanghua ;
Li, Yajuan ;
Allen, Jeffrey ;
Zhong, Rui ;
Chen, Beibei ;
Kim, Minsoo ;
Wang, Tao ;
Heiser, Laura M. ;
Realubit, Ronald ;
Mattioli, Michela ;
Alvarez, Mariano J. ;
Shen, Yao ;
Gallahan, Daniel ;
Singer, Dinah ;
Saez-Rodriguez, Julio ;
Xie, Yang ;
Stolovitzky, Gustavo ;
Califano, Andrea ;
Abbuehl, Jean-Paul ;
Altman, Russ B. ;
Balcome, Shawn ;
Bell, Ana ;
Bender, Andreas ;
Berger, Bonnie ;
Bernard, Jonathan ;
Bieberich, Andrew A. ;
Borboudakis, Giorgos ;
Chan, Christina ;
Chen, Ting-Huei ;
Choi, Jaejoon ;
Coelho, Luis Pedro ;
Creighton, Chad J. ;
Dampier, Will ;
Davisson, V. Jo ;
Deshpande, Raamesh ;
Diao, Lixia ;
Di Camillo, Barbara ;
Dundar, Murat ;
Ertel, Adam ;
Goswami, Chirayu P. ;
Gottlieb, Assaf ;
Gould, Michael N. ;
Goya, Jonathan ;
Grau, Michael .
NATURE BIOTECHNOLOGY, 2014, 32 (12) :1213-+
[5]  
Bast R C., 2016, Holland-Frei Cancer Medicine, V9th, DOI DOI 10.1002/9781119000822
[6]   Principles and mechanisms of non-genetic resistance in cancer [J].
Bell, Charles C. ;
Gilan, Omer .
BRITISH JOURNAL OF CANCER, 2020, 122 (04) :465-472
[7]   Clinical Benefit From Pemetrexed Before and After Crizotinib Exposure and From Crizotinib Before and After Pemetrexed Exposure in Patients With Anaplastic Lymphoma Kinase-Positive Non-Small-Cell Lung Cancer [J].
Berge, Eamon M. ;
Lu, Xian ;
Maxson, Delee ;
Baron, Anna E. ;
Gadgeel, Shirish M. ;
Solomon, Benjamin J. ;
Doebele, Robert C. ;
Varella-Garcia, Maria ;
Camidge, D. Ross .
CLINICAL LUNG CANCER, 2013, 14 (06) :636-643
[8]   Update on emerging biomarkers in lung cancer [J].
Bernicker, Eric H. ;
Allen, Timothy Craig ;
Cagle, Phillip T. .
JOURNAL OF THORACIC DISEASE, 2019, 11 :S81-S88
[9]   Statistics review 12: Survival analysis [J].
Bewick, V ;
Cheek, L ;
Ball, J .
CRITICAL CARE, 2004, 8 (05) :389-394
[10]   Studying clonal dynamics in response to cancer therapy using high-complexity barcoding [J].
Bhang, Hyo-eun C. ;
Ruddy, David A. ;
Radhakrishna, Viveksagar Krishnamurthy ;
Caushi, Justina X. ;
Zhao, Rui ;
Hims, Matthew M. ;
Singh, Angad P. ;
Kao, Iris ;
Rakiec, Daniel ;
Shaw, Pamela ;
Balak, Marissa ;
Raza, Alina ;
Ackley, Elizabeth ;
Keen, Nicholas ;
Schlabach, Michael R. ;
Palmer, Michael ;
Leary, Rebecca J. ;
Chiang, Derek Y. ;
Sellers, William R. ;
Michor, Franziska ;
Cooke, Vesselina G. ;
Korn, Joshua M. ;
Stegmeier, Frank .
NATURE MEDICINE, 2015, 21 (05) :440-U207