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56 Picard, Silvy, and Gabert<br />
and is critically influenced by PCR reaction components. Constant amplification<br />
efficiency in all samples being compared is one important criterion for<br />
reliable comparison between samples. Small efficiency differences between<br />
target and reference generate false expression ratios, and the true initial level<br />
of mRNA may be over- or underestimated. Several mathematical methods that<br />
determine real-time PCR efficiency have been described (42–45) and are compared<br />
online (http://www.gene-quantification.info/). The equivalence of PCR<br />
efficiency between test samples and calibrators should be validated in an independent<br />
experiment.<br />
Efficiency-corrected quantifications should be included in the setup and calculations<br />
that are performed in relative quantification procedures. LightCycler<br />
Relative Expression, Q-gene, Rest, and Rest-XL software applications allow<br />
the evaluation of amplification efficiency plots. Q-gene, Rest, and Rest-XL<br />
software are available directly on the Web and are applicable on different<br />
instruments, whereas LightCycler Relative Expression is an application of<br />
LightCycler that permits the use of one to two calibration wells for each series.<br />
For example, the LightCycler kits are function tested using calibrator RNA<br />
derived from an immortalized cell line for each FG expression and do not<br />
require a standard curve. Instead, the amount of mRNA encoding the FG is<br />
expressed as a ratio relative to a reference gene (G6PDH) in that particular<br />
sample, and then compared to the FG:G6PDH ratio in the calibrator.<br />
4. RQ-PCR Results<br />
4.1. Expression of the Results<br />
Based on the quantification of (1) CG expression in a patient’s follow-up<br />
samples and (2) FG and CG expression in the patient’s diagnostic sample, two<br />
methods are most commonly used for calculation of MRD results and experimental<br />
sensitivity: the ∆∆Ct method and the normalized copy number (NCN)<br />
method.<br />
With the ∆∆Ct method, the results can be calculated using slopes and intercepts<br />
derived from previously generated plasmid standard curves. Based on<br />
the EAC results, average intercept and slope values of 40 and –3.4, respectively,<br />
can be used for such calculations.<br />
Alternatively, the NCN method requires inclusion of plasmid standards in<br />
each quantitative PCR experiment. The NCN method has been most frequently<br />
used for reporting MRD data in the literature. The levels of expression of fusion<br />
transcripts in both patient and control samples are expressed as normalized<br />
copy numbers by calculating the ratio of fusion gene transcript copy number<br />
divided by the control gene transcript copy number, and adjusted as required<br />
for ease of interpretation (e.g., multiplication by 100 or 1000). The NCN<br />
method is robust and is the preferred method for standardization of results