Literature DB >> 29704129

Integrative Pharmacology: Advancing Development of Effective Immunotherapies.

Mohammad Tabrizi1, Daping Zhang2, Vaishnavi Ganti2, Glareh Azadi2.   

Abstract

With the recent advances in cancer immunotherapy, it is now evident that the antigen-specific activation of the patients' immune responses can be utilized for achieving significant therapeutic benefits. Novel molecules have been developed and promising advances have been achieved in cancer therapy. The recent success of cancer immunotherapy clearly reflects the novelty of the approach and importance of this class of therapeutics. Due to the nature of immunotherapy, i.e., harnessing the patient's immune system, it becomes critical to evaluate the important variables that can guide preclinical development, translational strategies, patient selection, and effective clinical dosing paradigms following single and combination therapies. To further boost the durability and efficacy profiles of IO (immuno-oncology) drugs following single agent therapy, novel combination therapies are being sought. Combination strategies have become critical for enhancing the anti-tumor immunity in broader cancer indications. Comprehensive methods are being developed to quantify the synergistic combination effect profiles at various development phases. Further evaluation of the signaling and pathway components can potentially establish a unique "signature" characteristic for specific combination therapies following modulation of various immunomodulatory pathways. In this article, critical topics related to preclinical, translational, and clinical development of IO agents are discussed.

Entities:  

Keywords:  cancer immunotherapy; first-in-human dose; immuno-oncology (IO); preclinical development; systems pharmacology; tumor modeling

Mesh:

Substances:

Year:  2018        PMID: 29704129     DOI: 10.1208/s12248-018-0229-2

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  113 in total

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Journal:  Nature       Date:  1992-04-16       Impact factor: 49.962

Review 2.  Immune checkpoint blockade: a common denominator approach to cancer therapy.

Authors:  Suzanne L Topalian; Charles G Drake; Drew M Pardoll
Journal:  Cancer Cell       Date:  2015-04-06       Impact factor: 31.743

Review 3.  Clinical Pharmacokinetics and Pharmacodynamics of Atezolizumab in Metastatic Urothelial Carcinoma.

Authors:  M Stroh; H Winter; M Marchand; L Claret; S Eppler; J Ruppel; O Abidoye; S L Teng; W T Lin; S Dayog; R Bruno; J Jin; S Girish
Journal:  Clin Pharmacol Ther       Date:  2017-06-09       Impact factor: 6.875

4.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

5.  Regulatory T cells suppress tumor-specific CD8 T cell cytotoxicity through TGF-beta signals in vivo.

Authors:  Mei-Ling Chen; Mikaël J Pittet; Leonid Gorelik; Richard A Flavell; Ralph Weissleder; Harald von Boehmer; Khashayarsha Khazaie
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-27       Impact factor: 11.205

6.  Tumor antigen-specific CD8 T cells infiltrating the tumor express high levels of PD-1 and are functionally impaired.

Authors:  Mojgan Ahmadzadeh; Laura A Johnson; Bianca Heemskerk; John R Wunderlich; Mark E Dudley; Donald E White; Steven A Rosenberg
Journal:  Blood       Date:  2009-05-07       Impact factor: 22.113

7.  Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer.

Authors:  Jamaal A Rehman; Gang Han; Daniel E Carvajal-Hausdorf; Brad E Wasserman; Vasiliki Pelekanou; Nikita L Mani; Joseph McLaughlin; Kurt A Schalper; David L Rimm
Journal:  Mod Pathol       Date:  2016-11-11       Impact factor: 7.842

8.  Using Model-Based "Learn and Confirm" to Reveal the Pharmacokinetics-Pharmacodynamics Relationship of Pembrolizumab in the KEYNOTE-001 Trial.

Authors:  J Elassaiss-Schaap; S Rossenu; A Lindauer; S P Kang; R de Greef; J R Sachs; D P de Alwis
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-11-08

9.  Translational Pharmacokinetic/Pharmacodynamic Modeling of Tumor Growth Inhibition Supports Dose-Range Selection of the Anti-PD-1 Antibody Pembrolizumab.

Authors:  A Lindauer; C R Valiathan; K Mehta; V Sriram; R de Greef; J Elassaiss-Schaap; D P de Alwis
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-11-08

Review 10.  Pembrolizumab: Role of Modeling and Simulation in Bringing a Novel Immunotherapy to Patients With Melanoma.

Authors:  R de Greef; J Elassaiss-Schaap; M Chatterjee; D C Turner; M Ahamadi; M Forman; D Cutler; D P de Alwis; A Kondic; J Stone
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-11-05
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  1 in total

1.  The Modulatory Properties of Astragalus membranaceus Treatment on Triple-Negative Breast Cancer: An Integrated Pharmacological Method.

Authors:  Cun Liu; Kejia Wang; Jing Zhuang; Chundi Gao; Huayao Li; Lijuan Liu; Fubin Feng; Chao Zhou; Kang Yao; Laijun Deng; Lu Wang; Jia Li; Changgang Sun
Journal:  Front Pharmacol       Date:  2019-10-14       Impact factor: 5.810

  1 in total

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