Background. Taxol is a novel chemotherapeutic agent that promotes micr
otubule assembly and stabilizes tubulin polymer formation. Clinical ev
aluation of its anti-neoplastic activity as a single agent and in comb
ination with other chemotherapeutic drugs is in progress. Methods. To
evaluate the effect of combining taxol with other commonly used antine
oplastic agents, clonogenic survival of human breast cancer MCF7 cells
, human lung adenocarcinoma A549 cells, and human ovarian cancer OVG1
cells were assayed after an initial exposure to taxol for 24 hours (ap
proximately LD90 for taxol), followed by a 1-hour incubation with vary
ing concentrations of doxorubicin or etoposide (total taxol incubation
time, 25 hours). Results. When corrected for taxol-induced cytotoxici
ty, doxorubicin and etoposide caused less cell killing in the presence
of taxol compared with control incubations of doxorubicin and etoposi
de alone. To determine if a different schedule of drug application res
ulted in a similar finding, MCF7, A549, and OVG1 cells were exposed to
doxorubicin for 1 hour, followed by incubation with varying concentra
tions of taxol for 24 hours. Less-than-additive cytotoxicity for the c
ombination of taxol and doxorubicin was found. Flow cytometry studies
in MCF7 cells showed that taxol caused a G2/M cell cycle block. Fewer
cells were found to be in S-phase, which is the most doxorubicin-sensi
tive phase of the cell cycle. The application of doxorubicin or etopos
ide to MCF7 cells for 1 hour resulted in partial G1 and G2/M cell cycl
e blocks. Fewer cells were found to be moving through the cell cycle,
which is likely required for taxol cytotoxicity. Conclusion. Although
direct antagonism of the cytotoxicity of doxorubicin or etoposide by t
axol has not been proven. there is less-than-additive in vitro cytotox
icity when taxol is combined with these chemotherapeutic agents. The c
linical implications of these findings are unknown; however, these fin
dings generate concern about the combination of these agents in clinic
al trials and suggest that additional studies to determine optimal sch
eduling are needed.