Normalizing complementary DNA by quantitative reverse transcriptase-polymerase chain reaction of beta(2)-microglobulin: Molecular monitoring of minimal residual disease in acute promyelocytic leukemia
M. Degan et al., Normalizing complementary DNA by quantitative reverse transcriptase-polymerase chain reaction of beta(2)-microglobulin: Molecular monitoring of minimal residual disease in acute promyelocytic leukemia, DIAGN MOL P, 9(2), 2000, pp. 98-109
Citations number
43
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Medical Research Diagnosis & Treatment
Reverse transcription (RT)-polymerase chain reaction (PCR) raises unique me
thodological matters that may hamper the reliability of the procedure, espe
cially when results should direct therapeutic decisions. One of these matte
rs is represented by the RT step. The present study shows that differences
in complementary DNA (cDNA) preparations purposely containing increasing am
ounts of retrotranscribed RNA were not disclosed by nonquantitative RT-PCR
by two different housekeeping genes, leading to fictitious results when the
expression or a given gene was quantitatively assessed. To overcome this p
roblem, the following are proposed: 1) to evaluate the efficiency of RT ste
p through the quantification, by competitive RT-PCR, of the expression leve
ls of the housekeeping gene beta(2)-microglobulin (beta(2)M): 2) to normali
ze each cDNA preparation to be comprised within I standard deviation of the
mean value of beta(2)M absolute level (3.14 +/- 1.14 attomoles/mu g RNA) f
ound by analyzing 33 cell lines of hematopoietic origin. To validate this s
trategy in a clinical setting, serial cDNA samples from patients were check
ed by conventional and quantitative RT-PCR for beta(2)M. Again, only a quan
titative evaluation of beta(2)M levels was allowed to unveil significant di
fferences, otherwise undetected, in the efficiency of RT reactions among th
ese cDNA samples. Normalization of samples to obtain cDNA preparations cont
aining comparable beta(2)M levels, eventually led to an increased sensitivi
ty in the detection of PML-RAR alpha fusion transcripts. This approach seem
s of great value for the monitoring of minimal residual disease in serial p
atient samples when a tumor-specific marker is available.