Small cell lung carcinoma exhibits greater phospholipase C-beta1 expression and edelfosine resistance compared with...

Aberrant signal transduction pathways involved in the development of metastatic disease are poorly defined in both small cell lung carcinoma (SCLC) and non-small cell lung carcinoma (NSCLC). Neuropeptide-driven positive feedback loops stimulating cell proliferation are characteristic of SCLC. The activation of phospholipase C (PLC)-beta1 is an early and common response to stimulation of G protein-coupled receptors by these neuroendocrine growth factors. The importance of PLC-beta in neuropeptide signaling prompted us to compare PLC-beta isoform expression and activity in four independent SCLC cell lines and four independent NSCLC cell lines. We found that PLC-beta1 is more highly expressed in SCLC than in NSCLC, as indicated by Western blotting of cell lysates. All SCLC lines studied express PLC-beta1; only one of the NSCLC lines investigated showed detectable levels of the enzyme. NSCLC lines are significantly more sensitive to the antiproliferative effects of ET-18-OCH3 (edelfosine) compared with the SCLC lines, as indicated by [3H]thymidine uptake. The only SCLC cell line (NCI-H345) that is as sensitive as the NSCLC cell lines to ET-18-OCH3 also expresses uniquely low levels of PLC-beta1. The participation of PLC-beta1 in signaling by SCLC growth factor receptors is indicated by our finding that PLC-beta1 (but not PLC-beta3) coimnunoprecipitates with G(alpha)q/11 upon activation of neurotensin receptors; this association is inhibited by ET-18-OCH3. Ca2+ mobilization mediated by neurotensin receptors is also inhibited by ET-18-OCH3. The binding of GTPgammaS to G(alpha)q/11 upon treatment of SCLC cells with neurotensin is not inhibited by ET-18-OCH3. These findings indicate that ET-18-OCH3 does not interfere with G(alpha)q/11 activation but rather inhibits the association of G(alpha)q/11 with PLC-beta1. Our data suggest that PLC-beta is an important mediator of both SCLC and NSCLC proliferation. Differences in PLC-beta1 expression may be exploitable in the development of effective diagnostic and therapeutic tools.