Related Experiment Video
Updated: May 23, 2026

Analysis of Raw and Processed Cyperi Rhizoma Samples Using Liquid Chromatography-Tandem Mass Spectrometry in Rats with Primary Dysmenorrhea
Published on: December 23, 2022
[KRAS analysis management: Process and delays]
Nadège Lapeyrere1, Simone Mathoulin-Pélissier, Jean-Philippe Merlio
1Réseau de cancérologie d'Aquitaine, Bordeaux, France.
Introduction:
The prescription of some anti-cancer therapies is now based on the detection of specific genetic alterations that should be determined as early as possible not to put patients at a disadvantage. In 2009, the 'Aquitaine platform of molecular tumour genetics' (PGMC) developed a programme to evaluate and to improve the organisation of molecular cancer analyses, particularly the analysis of the KRAS gene. The objective was to describe the analysis process, the organization of pathology laboratories and the delays between the different phases of the process.
Methods:
We established a working group to describe the different steps between the prescription of molecular biology analyses and the analysis report. A retrospective study based on the first quarter of 2009 allowed us to measure management delays. In addition, a pathology laboratory organisational questionnaire allowed us to identify organisational features hindering rapid delivery.
Results:
The median delay between the analysis prescription and the results was 15 days (range: 7-78 days). Practices explaining longer delays were highlighted not only in the pathology laboratories (for example, pending of the prescription before sending the analysis, waiting for several cases before sending the material, sample slicing, sending by standard mail), but also within the PGMC (for example, sample testing by another technique or new extraction for non-contributory samples).
Conclusion:
The results of this study emphasise the necessity of speeding up pre-analytical phases, and of creating an electronic procedure and regional facilities in order to provide results more rapidly to clinicians.
Related Concept Videos
Interpreting Run Charts
Run Charts
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum values—of a sample...
The R Chart
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
