Effect of atorvastatin versus placebo on efficacy in patients with diffuse large B-cell lymphoma receiving R-CHOP.
Ronald NemecMarielle Scherrer-CrosbieJeremy S AbramsonRobert ReddHannah K GilmanTerry HoJessica WuJulius HeemelaarDonna NeubergEphraim P HochbergJeffrey A BarnesPhilippe ArmandEric D JacobsenCaron A JacobsonAustin I KimRobb S FriedmanAnn S LaCasceTomas G NeilanJacob D SoumeraiPublished in: Leukemia & lymphoma (2024)
STOP-CA was a multicenter, double-blind, randomized, placebo-controlled trial comparing atorvastatin to placebo in treatment-naïve lymphoma patients receiving anthracycline-based chemotherapy. We performed a preplanned subgroup to analyze the impact of atorvastatin on efficacy in patients with diffuse large B-cell lymphoma (DLBCL). Patients received rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) at standard doses for six 21-day cycles and were randomly assigned to receive atorvastatin 40 mg daily ( n = 55) or placebo ( n = 47) for 12 months. The complete response (CR) rate was numerically higher in the atorvastatin arm (95% [52/55] vs. 85% [40/47], p = .18), but this was not statistically significant. Adverse event rates were similar between the atorvastatin and placebo arms. In summary, atorvastatin did not result in a statistically significant improvement in the CR rate or progression-free survival, but both were numerically improved in the atorvastatin arm. These data warrant further investigation into the potential therapeutic role of atorvastatin added to anthracycline-based chemotherapies.
Keyphrases
- diffuse large b cell lymphoma
- double blind
- placebo controlled
- epstein barr virus
- phase iii
- clinical trial
- phase ii
- free survival
- study protocol
- end stage renal disease
- open label
- low dose
- radiation therapy
- cross sectional
- artificial intelligence
- prognostic factors
- emergency department
- newly diagnosed
- cancer therapy
- machine learning
- chronic kidney disease
- high dose
- deep learning
- protein kinase
- patient reported