The B-cell neoplasms, multiple myeloma and non-Hodgkin's lymphoma, frequently become drug resistant, despite initial responses to chemotherapeutic drugs. Tumor cells from eight patients with clinically drug-refractory disease were evaluated by immuno-histochemical staining for monoclonal immunoglobulin (Ig) expression, nuclear proliferation antigen, P-glycoprotein (P-gly) expression, and other cellular antigens. P-gly was detected on tumor cells from six of eight patients with drug-resistant disease. Of the six patients with P-gly-positive tumors, five patients had advanced multiple myeloma and one had a drug-refractory non-Hodgkin's lymphoma. Cellular RNA analysis confirmed the over-expression of P-gly. In an effort to overcome drug resistance, a pilot study evaluated possible verapamil enhancement of chemotherapy in these eight patients. All patients had developed progressive disease while receiving a regimen containing vincristine and doxorubicin, and seven of eight patients had previously received continuous infusion vincristine and doxorubicin plus oral dexamethasone (VAD). At the time of progressive disease, continuous infusion verapamil was added to the VAD regimen. Three of the eight patients who were refractory to vincristine and doxorubicin alone responded when verapamil was added to VAD. The three patients who responded had P-gly-positive tumors. Verapamil increased the intracellular accumulation of doxorubicin and vincristine in vitro for both a P-gly-positive myeloma cell line and tumor cells from two patients with end-stage myeloma which over-expressed P-gly. The dose-limiting side effect associated with the addition of verapamil to chemotherapy was temporary impairment of cardiac function, manifest as hypotension and cardiac arrhythmia. We conclude that P-gly expression occurs in drug-refractory B-cell neoplasms and may contribute to the development of clinical drug resistance. However, other factors, such as the proliferative activity of the tumor, may also play a role in determining response to chemotherapy. The administration of verapamil along with VAD chemotherapy may partially circumvent drug resistance in patients whose tumors over-express P-gly.
To study the influence of chronologic age on treatment outcome in patients with advanced, diffuse large-cell (histiocytic) lymphoma (DHL), we reviewed the results of two recent Southwest Oncology Group (SWOG) clinical trials. From 1974 to 1982, members entered 307 eligible patients treated with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) with or without bleomycin, and CHOP with or without immunotherapy using BCG, levamisole, or both. Complete response (CR) rates declined progressively with advancing age: 65% in those under 40, 60% in the 40 to 54 age group, 55% in the 55 to 64 age group, and 37% in those 65 and older (P = .001). Likewise, survival decreased significantly in older patients: medians were 101 +, 52, 34, and 16 months, respectively (P less than .001). Treatment guidelines included an initial dose reduction of 50% for patients aged 65 or older and for younger patients with bone marrow compromise. Despite protocol specifications, 23 of 81 patients aged 65 or older received initial full-dose therapy. When these patients were compared with younger patients on whom full-dose chemotherapy was started, survival curves, but not CR rates, were still significantly different. There were no significant differences in duration of CR or frequency of treatment complications. These data suggest that older age is associated with a worse prognosis in advanced DHL. Moreover, the initial dose reduction for patients aged 65 or older may have contributed to their inferior outcomes.
The growth fraction of tumors from patients with non-Hodgkin's lymphomas (NHL) has been shown to correlate with survival in retrospective studies. The growth fraction can be evaluated using immunohistochemical techniques employing the Ki-67 monoclonal antibody (MoAb) that marks a nuclear protein present in cycling cells. The purpose of this study was to evaluate the clinical utility of the Ki-67 MoAb for predicting survival. Using a prospective trial design in a multi-institutional cooperative trials group, the proliferative index, clinical outcome, and statistical correlations were independently assessed for previously untreated patients with advanced stages of intermediate- and high-grade histologies of NHL treated on Southwest Oncology Group study (SWOG 8516, Intergroup 0067). The proportion of Ki- 67-positive cells was determined on snap-frozen thin tissue sections. A proliferative index of 80% or greater, as determined from prior retrospective studies, identified a group of patients (18%) who had a poor outcome. Overall survival was significantly reduced in these patients with a high Ki-67-associated proliferative index compared with those with a low proliferative index (P = .001). One-year survival estimates were 82% (low proliferative index) versus 18% (high proliferative index). A multivariate regression analysis incorporating commonly used clinical prognostic features confirmed the independent effect of proliferation on survival (relative risk estimate 5.9; 95% confidence interval, 2.2, 16.1). The Ki-67 MoAb identifies a group of patients with rapidly fatal NHL for whom currently available chemotherapy is inadequate.
Classification of DLBCL into cell-of-origin (COO) subtypes based on gene expression profiles has well-established prognostic value. These subtypes, termed Germinal Center B cell (GCB) and Activated B cell (ABC) also have different genetic alterations and over-expression of different pathways that may serve as therapeutic targets. Thus, accurate classification is essential for analysis of clinical trial results and planning new trials using targeted agents. The current standard for COO classification uses gene expression profiling (GEP) of snap frozen tissues, and a Bayesian predictor algorithm. However this is generally not feasible. In this study, we investigated whether the qNPA technique could be used for accurate classification of COO using formalin fixed, paraffin embedded (FFPE) tissues. We analyzed expression levels of 14 genes in 121 cases of R-CHOP treated DLBCL that had previously undergone GEP using the Affymetrix U133 Plus 2.0 microarray and had matching FFPE blocks. Results were evaluated using the previously published algorithm with a leave-one-out cross validation approach. These results were compared to COO classification based on frozen tissue GEP profiles. For each case, a probability statistic was generated indicating the likelihood that the classification using qNPA was accurate. When data were dichotomized into GCB or non-GCB, overall accuracy was 92%. The qNPA technique accurately categorized DLBCL into GCB and ABC subtypes, as defined by GEP. This approach is quantifiable, applicable to FFPE tissues with no technical failures, and has potential for significant impact on DLBCL research and clinical trial development.
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