Next‐generation clinical trials: Novel strategies to address the challenge of tumor molecular heterogeneity. Issue 5 (18th October 2014)
- Record Type:
- Journal Article
- Title:
- Next‐generation clinical trials: Novel strategies to address the challenge of tumor molecular heterogeneity. Issue 5 (18th October 2014)
- Main Title:
- Next‐generation clinical trials: Novel strategies to address the challenge of tumor molecular heterogeneity
- Authors:
- Catenacci, Daniel V.T.
- Other Names:
- Mendelsohn John specialEditor.
Ringborg Ulrik specialEditor.
Schilsky Richard specialEditor. - Abstract:
- Abstract : The promise of 'personalized cancer care' with therapies toward specific molecular aberrations has potential to improve outcomes. However, there is recognized heterogeneity within any given tumor‐type from patient to patient (inter‐patient heterogeneity), and within an individual (intra‐patient heterogeneity) as demonstrated by molecular evolution through space (primary tumor to metastasis) and time (after therapy). These issues have become hurdles to advancing cancer treatment outcomes with novel molecularly targeted agents. Classic trial design paradigms are challenged by heterogeneity, as they are unable to test targeted therapeutics against low frequency genomic 'oncogenic driver' aberrations with adequate power. Usual accrual difficulties to clinical trials are exacerbated by low frequencies of any given molecular driver. To address these challenges, there is need for innovative clinical trial designs and strategies implementing novel diagnostic biomarker technologies to account for inter‐patient molecular diversity and scarce tissue for analysis. Importantly, there is also need for pre‐defined treatment priority algorithms given numerous aberrations commonly observed within any one individual sample. Access to multiple available therapeutic agents simultaneously is crucial. Finally intra‐patient heterogeneity through time may be addressed by serial biomarker assessment at the time of tumor progression. This report discusses various 'next‐generation'Abstract : The promise of 'personalized cancer care' with therapies toward specific molecular aberrations has potential to improve outcomes. However, there is recognized heterogeneity within any given tumor‐type from patient to patient (inter‐patient heterogeneity), and within an individual (intra‐patient heterogeneity) as demonstrated by molecular evolution through space (primary tumor to metastasis) and time (after therapy). These issues have become hurdles to advancing cancer treatment outcomes with novel molecularly targeted agents. Classic trial design paradigms are challenged by heterogeneity, as they are unable to test targeted therapeutics against low frequency genomic 'oncogenic driver' aberrations with adequate power. Usual accrual difficulties to clinical trials are exacerbated by low frequencies of any given molecular driver. To address these challenges, there is need for innovative clinical trial designs and strategies implementing novel diagnostic biomarker technologies to account for inter‐patient molecular diversity and scarce tissue for analysis. Importantly, there is also need for pre‐defined treatment priority algorithms given numerous aberrations commonly observed within any one individual sample. Access to multiple available therapeutic agents simultaneously is crucial. Finally intra‐patient heterogeneity through time may be addressed by serial biomarker assessment at the time of tumor progression. This report discusses various 'next‐generation' biomarker‐driven trial designs and their potentials and limitations to tackle these recognized molecular heterogeneity challenges. Regulatory hurdles, with respect to drug and companion diagnostic development and approval, are considered. Focus is on the 'Expansion Platform Design Types I and II', the latter demonstrated with a first example, 'PANGEA: Personalized Anti‐Neoplastics for Gastro‐Esophageal Adenocarcinoma'. Applying integral medium‐throughput genomic and proteomic assays along with a practical biomarker assessment and treatment algorithm, 'PANGEA' attempts to address the problem of heterogeneity towards successful implementation of molecularly targeted therapies. Highlights: Tumor molecular heterogeneity is a challenge to the design of clinical trials in Oncology. Inter‐patient heterogeneity of low frequency biological events are difficult to study. Intra‐patient heterogeneity through space and time require serial molecular profiling. We discuss next‐generation clinical trial designs aimed to address heterogeneity. Focus is on novel 'Exploratory' and 'Expansion' Platform clinical trial designs. … (more)
- Is Part Of:
- Molecular oncology. Volume 9:Issue 5(2015:May)
- Journal:
- Molecular oncology
- Issue:
- Volume 9:Issue 5(2015:May)
- Issue Display:
- Volume 9, Issue 5 (2015)
- Year:
- 2015
- Volume:
- 9
- Issue:
- 5
- Issue Sort Value:
- 2015-0009-0005-0000
- Page Start:
- 967
- Page End:
- 996
- Publication Date:
- 2014-10-18
- Subjects:
- Molecular heterogeneity -- Inter-patient heterogeneity -- Intra-patient heterogeneity -- Next-generation clinical trials -- Expansion Platform Designs -- PANGEA -- Gastric cancer -- Esophagus cancer -- Gastroesophageal cancer -- Esophagogastric cancer
Cancer -- Molecular aspects -- Periodicals
616.994005 - Journal URLs:
- http://www.journals.elsevier.com/molecular-oncology/ ↗
http://febs.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)1878-0261/issues/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.molonc.2014.09.011 ↗
- Languages:
- English
- ISSNs:
- 1574-7891
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.817993
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9917.xml