Case studies: Biobanking

Matrix Gemini LIMS at work in Cancer Research Trials

Solution: LIMS

RCLCF - Cancer Research

University Of Liverpool logo

The Roy Castle Lung Cancer Foundation (RCLCF) is a UK wide charity dedicated to the defeat of lung cancer. RCLCF funds research into the early detection of lung cancer.

One of its projects is researching the early diagnosis of lung cancer. Its main aim is to identify people who are at a high risk of developing the disease by using molecular genetics technologies and epidemiology. The management of the human tissue samples stored for clinical trials is stringently monitored and must meet the regulatory guidelines of the Human Tissue Act (HTA) and work must be done in compliance with Good Clinical Laboratory Practice (GCLP). The case study details how RCLCF have used Matrix Gemini to help them manage their research facility and meet the regulatory guidelines of the HTA and GCLP.

CHALLENGES

  • Needs to store a large number of samples and associated patient data
  • Needs to track every sample and aliquot. All movements must traced and fully audited to comply with regulatory requirements whilst not getting in the way of research tasks.

SOLUTION

matrix-lims

RESULTS

  • Matrix LIMS enables RCLCF to comply with current regulatory requirements and associated audits
  • Greatly improves method for booking in samples and associated patient data
  • Complete control and traceability for logging the booking out samples and their usage

"We now have a much improved method for booking in (biobank) samples. Booking in samples is much faster and simpler than the previous system".

RCLCF - Cancer Research

RCLCF funds a program of research into the early detection of lung cancer. One of these projects is the Liverpool Lung Project which is a study researching the early diagnosis of lung cancer. The main aim of this research program is to identify people who are at especially high risk of developing lung cancer by using molecular genetics technologies and epidemiology. The research team is led by Professor John Field.