Literature DB >> 28325150

Managing Expectations in the Transition to Proof of Concept Studies.

Thomas Kieber-Emmons1, Issam Makhoul2, Angela Pennisi2, Eric R Siegel2, Peter D Emanuel2, Bejotaloh Monzavi-Karbassi2, Zenon Steplewski3, J Thaddeus Beck4, Laura F Hutchins2.   

Abstract

BACKGROUND: As we move away from the traditional chemotherapy era to targeted therapy, the validity of old assessment paradigms associated with therapeutics are being raised in the context of immunotherapy. The old paradigm required elaborating on the toxicity assessment, with no expectation of efficacy in early phase trials. Safety data from Phase 1 and 2 studies with many immunotherapeutics show limited toxicities and draw attention to the need to demonstrate efficacy in the early evaluation of new agents.
METHODS: Literature searches indicate that molecular oncology mechanistic-based agents are being linked with molecular disease status and clinical benefit. Biomarkers and other endpoints are being employed to accomplish this. Perspectives for a meaningful context of integrating biomarkers and clinical trial design are reviewed.
RESULTS: The design and conduct of clinical trials have not been fully adjusted to the new era of personalized oncology, and so we are in transition. A part of this transition is the management of expectations and trial designs that need to be considered relative to preclinical experience in the development of therapeutics. For example, pathological complete response is now considered a surrogate marker for favorable prognosis in breast cancer patients who are treated in the neoadjuvant setting. This surrogate marker is tied to novel agents' mechanistic characteristics with no preclinical counterpart.
CONCLUSION: The old paradigm considers patients equal with similar chances to respond to treatments, but the new paradigm considers patient's heterogeneity, a major fact that informs the design of clinical trials. By linking every treatment to a mechanism of action and to the presence of a specific biomarker, new trials are going to have more subjects who are likely to respond to the treatment. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Breast cancer; clinical benefit; clinical trials; immunotherapy; pathological complete response; patient advocacy; process management; proof of concept; tumor response

Mesh:

Substances:

Year:  2017        PMID: 28325150      PMCID: PMC9252264          DOI: 10.2174/1574887112666170321121250

Source DB:  PubMed          Journal:  Rev Recent Clin Trials        ISSN: 1574-8871


  100 in total

Review 1.  Proof of Principle studies.

Authors:  Bernd Schmidt
Journal:  Epilepsy Res       Date:  2006-01       Impact factor: 3.045

2.  Expediting drug development--the FDA's new "breakthrough therapy" designation.

Authors:  Rachel E Sherman; Jun Li; Stephanie Shapley; Melissa Robb; Janet Woodcock
Journal:  N Engl J Med       Date:  2013-11-14       Impact factor: 91.245

3.  Annual Hazard Rates of Recurrence for Breast Cancer During 24 Years of Follow-Up: Results From the International Breast Cancer Study Group Trials I to V.

Authors:  Marco Colleoni; Zhuoxin Sun; Karen N Price; Per Karlsson; John F Forbes; Beat Thürlimann; Lorenzo Gianni; Monica Castiglione; Richard D Gelber; Alan S Coates; Aron Goldhirsch
Journal:  J Clin Oncol       Date:  2016-01-19       Impact factor: 44.544

Review 4.  Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis.

Authors:  Patricia Cortazar; Lijun Zhang; Michael Untch; Keyur Mehta; Joseph P Costantino; Norman Wolmark; Hervé Bonnefoi; David Cameron; Luca Gianni; Pinuccia Valagussa; Sandra M Swain; Tatiana Prowell; Sibylle Loibl; D Lawrence Wickerham; Jan Bogaerts; Jose Baselga; Charles Perou; Gideon Blumenthal; Jens Blohmer; Eleftherios P Mamounas; Jonas Bergh; Vladimir Semiglazov; Robert Justice; Holger Eidtmann; Soonmyung Paik; Martine Piccart; Rajeshwari Sridhara; Peter A Fasching; Leen Slaets; Shenghui Tang; Bernd Gerber; Charles E Geyer; Richard Pazdur; Nina Ditsch; Priya Rastogi; Wolfgang Eiermann; Gunter von Minckwitz
Journal:  Lancet       Date:  2014-02-14       Impact factor: 79.321

Review 5.  Bridging innate and adaptive antitumor immunity targeting glycans.

Authors:  Anastas Pashov; Bejatolah Monzavi-Karbassi; Gajendra P S Raghava; Thomas Kieber-Emmons
Journal:  J Biomed Biotechnol       Date:  2010-06-15

Review 6.  Relevance of Pathological Complete Response after Neoadjuvant Therapy for Breast Cancer.

Authors:  Angela Pennisi; Thomas Kieber-Emmons; Issam Makhoul; Laura Hutchins
Journal:  Breast Cancer (Auckl)       Date:  2016-07-25

7.  Long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years after diagnosis of oestrogen receptor-positive breast cancer: ATLAS, a randomised trial.

Authors:  Christina Davies; Hongchao Pan; Jon Godwin; Richard Gray; Rodrigo Arriagada; Vinod Raina; Mirta Abraham; Victor Hugo Medeiros Alencar; Atef Badran; Xavier Bonfill; Joan Bradbury; Michael Clarke; Rory Collins; Susan R Davis; Antonella Delmestri; John F Forbes; Peiman Haddad; Ming-Feng Hou; Moshe Inbar; Hussein Khaled; Joanna Kielanowska; Wing-Hong Kwan; Beela S Mathew; Indraneel Mittra; Bettina Müller; Antonio Nicolucci; Octavio Peralta; Fany Pernas; Lubos Petruzelka; Tadeusz Pienkowski; Ramachandran Radhika; Balakrishnan Rajan; Maryna T Rubach; Sera Tort; Gerard Urrútia; Miriam Valentini; Yaochen Wang; Richard Peto
Journal:  Lancet       Date:  2013-03-09       Impact factor: 79.321

Review 8.  Tumor-Associated Glycans and Immune Surveillance.

Authors:  Behjatolah Monzavi-Karbassi; Anastas Pashov; Thomas Kieber-Emmons
Journal:  Vaccines (Basel)       Date:  2013-06-17

9.  Ki-67 as a predictor of response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Kwan Il Kim; Kyung Hee Lee; Tae Ryung Kim; Yong Soon Chun; Tae Hoon Lee; Heung Kyu Park
Journal:  J Breast Cancer       Date:  2014-03-28       Impact factor: 3.588

10.  Regulatory approval of pharmaceuticals without a randomised controlled study: analysis of EMA and FDA approvals 1999-2014.

Authors:  Anthony J Hatswell; Gianluca Baio; Jesse A Berlin; Alar Irs; Nick Freemantle
Journal:  BMJ Open       Date:  2016-06-30       Impact factor: 2.692

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