Integrated Molecular Analysis of Cancer (IMAC)

The purpose of the study is to identify biomarkers and potentially actionable mutations/ activated molecular pathways and evaluate the impact of molecular profiling information on patients with cancer.

The hypothesis of the study are:

• Analysis of tumour samples will allow us to identify novel and/or actionable molecular changes that may drive therapeutic strategies for the management of cancers.
• Molecular profiling will improve the outcome of novel targeted-agent treatment in clinical trials
• Molecular profiling of paired samples (primary/recurrent and primary/metastatic) will provide new insights into mechanisms underlying drug resistance and metastasis in cancers.

Study Overview

• Status: Recruiting
• Conditions: Cancer
• Intervention / Treatment: Other: Integrated Molecular Analysis

Detailed Description

Advances in our understanding of cancer biology has led to a rapid expansion of molecularly targeted therapeutics in pre-clinical and clinical development over the last decade. The systematic sequencing of cancer genomes has revealed that individual tumours frequently harbor multiple "driver" somatic mutations that confer growth advantage and positive selection. Importantly, many of the altered proteins resulting from the mutations identified by these studies are in fact actionable, i.e. "druggable", targets. Hence, evaluating drug efficacy in tumours selected by a combination of histopathology and molecular analysis has the potential to result in a greater therapeutic gain. The premises behind personalised cancer medicine include: i) genetic aberrations exist in human malignancies; ii) a subset of these aberrations frequently exist across multiple tumour types and have functional relevance as drivers for oncogenesis and tumour progression; iii) the molecular effects of these genetic aberrations are potentially actionable targets; and iv) there are medicinal compounds that can safely and effectively modulate such targets in patients with these tumours. The key challenge to optimising this personalised approach to cancer therapy is to ensure that patients with tumours harbouring specific molecular/ genetic aberrations are specifically matched to a particular drug or combination of drugs. In this respect, molecular analysis of tumours to identify somatic mutations and/or other genetic aberrations are examples of enrichment strategies to assist in matching patients to drugs or treatments that have gained increasing interest in the oncology community. The ability to characterise the unique genetic features of each patient's tumour will be a critical step to identifying the optimal therapeutic strategy for the individual.

• Study Type: Observational
• Enrollment (Estimated): 1800

Contacts and Locations

• Study Contact: Name: Shao peng David Tan, MBBS, MRCP, PHD; Phone Number: (65) 6779 5555; Email: david_sp_tan@nuhs.edu.sg

Study Locations

• Singapore
  • Singapore, Singapore, 119074
    • Recruiting
    • David Tan Shao Peng
    • Contact: Shao peng David Tan, MBBS, MRCP, PHD; Phone Number: (65) 6779 5555; Email: david_sp_tan@nuhs.edu.sg
    • Principal Investigator: Shao peng David Tan, MBBS, MRCP, PHD

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 21 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No

• Sampling Method: Probability Sample

Study Population

Patients treated with cancers at National University Hospital.

Description

Inclusion Criteria:

1. Patients with histological confirmation of cancers who are candidates for systemic therapy, including molecular-targeted therapy/ biomarker-driven clinical trials.
2. Patients must be ≥ 21 years old.
3. All patients must have signed and dated an informed consent form.
4. All patients must have sufficient tumour tissue for molecular profiling

Exclusion Criteria:

Unable to provide informed consent

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
All cancer	Other: Integrated Molecular Analysis

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
1. Characterization of identified biomarkers and potentially actionable mutations/ activated molecular pathways	By identifying biomarkers and actionable mutations/molecular pathways in patients and characterizing them, we can evaluate the impact of molecular profiling information on patients with cancer. The spectrum and development of molecularly targeted agents is rapidly expanding, and it is increasingly likely that the future of cancer management will require the molecular and histological subtype of one's tumor to be defined in order to decide on the most appropriate treatment strategy.	2 years
To compare progression free survival (PFS) on matched therapy vs non-matched therapy in cancer patients enrolled into molecular targeted therapy/ biomarker-driven clinical trials.	Progression free survival (PFS) on matched targeted therapy based on molecular profiling compared with PFS on previous non-targeted therapy will be compared to assess the clinical impact of molecular profiling in these patients.	2 years
To compare overall response rates (ORR) on matched therapy vs non-matched therapy in cancer patients enrolled into molecular targeted therapy/ biomarker-driven clinical trials.	Overall response rates (ORR) on matched targeted therapy based on molecular profiling versus non-matched therapy will be compared to assess the clinical impact of molecular profiling in these patients.	2 years

Collaborators and Investigators

• Sponsor: National University Hospital, Singapore

Publications and helpful links

General Publications

• Kola I, Landis J. Can the pharmaceutical industry reduce attrition rates? Nat Rev Drug Discov. 2004 Aug;3(8):711-5. doi: 10.1038/nrd1470. No abstract available.
• Stewart DJ, Kurzrock R. Cancer: the road to Amiens. J Clin Oncol. 2009 Jan 20;27(3):328-33. doi: 10.1200/JCO.2008.18.9621. Epub 2008 Dec 8. No abstract available.

Study record dates

Study Major Dates

• Study Start: December 1, 2013
• Primary Completion (Estimated): December 1, 2024

Study Registration Dates

• First Submitted: December 9, 2013
• First Submitted That Met QC Criteria: March 3, 2014
• First Posted (Estimated): March 5, 2014

Study Record Updates

• Last Update Posted (Actual): November 9, 2023
• Last Update Submitted That Met QC Criteria: November 6, 2023
• Last Verified: September 1, 2023

More Information

Terms related to this study

• Keywords: Oncology
• Other Study ID Numbers: 2013/00705 ; 2014/00131