Yk. Kang et al., EXPRESSION OF MDR-1 IN REFRACTORY LYMPHOMA - QUANTITATION BY POLYMERASE CHAIN-REACTION AND VALIDATION OF THE ASSAY, Blood, 86(4), 1995, pp. 1515-1524
Measurement of P-glycoprotein and the gene that encodes it, mdr-1, is
an important tool for assessing the impact of multidrug resistance in
clinical cancer. We evaluated mdr-1 expression by a quantitative polym
erase chain reaction (PCR) assay in 78 biopsy samples from 48 patients
with refractory lymphoma enrolled on a trial of infusional chemothera
py (EPOCH) in which R-verapamil was added as an antagonist of P-glycop
rotein in a subset of patients whose tumors were unresponsive to treat
ment. Expression of mdr-1 was detectable in all biopsies at the time o
f enrollment on study, and a fourfold or greater increase in mdr-1 exp
ression was noted in 42% of patients at the time of treatment failure.
Expression of mdr-1 was also detectable in biopsies from patients at
the time of diagnosis of lymphoma. An endogenous control gene, beta(2)
-microglobulin, was quantitated for normalization of the mdr-1 values.
The use of beta(2)-microglobulin expression for normalization was val
idated in a subset of samples by comparing Northern blots detecting be
ta(2)-microglobulin, beta-actin, and GAPDH gene expression. Immunoblot
analysis suggested that no major discrepancy was present between mRNA
expression and protein level. Immunophenotyping of lymphomatous lymph
nodes showed that infiltration of tumor cells ranged from 8% to 95% a
nd of normal T cells from 1% to 83%. Expression of mdr-1 in normal T c
ells and monocytes was also shown to be low. The mdr-1 levels in patie
nt samples were independent of T-cell contamination, suggesting that t
he presence of normal cells has at best a small impact on mdr-1 measur
ements. Expression of mdr-1 in lymphoma can be quantitated by PCR, and
wide variations in expression can be observed. Increased expression i
n patients with refractory disease supports an important role for Pgp
in drug resistance in lymphoma. These studies will aid in the design a
nd interpretation of clinical trials in lymphoma.