Association of overall survival benefit of radiotherapy with progression-free survival after chemotherapy for diffuse large B-cell lymphoma: A systematic review and meta-analysis
{"title":"Association of overall survival benefit of radiotherapy with progression-free survival after chemotherapy for diffuse large B-cell lymphoma: A systematic review and meta-analysis","authors":"","doi":"10.1016/j.jncc.2024.04.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>To evaluate whether improved progression-free survival (PFS) from radiotherapy (RT) translates into an overall survival (OS) benefit for diffuse large B-cell lymphoma (DLBCL).</p></div><div><h3>Methods</h3><p>A systematic literature search identified randomized controlled trials (RCTs) and retrospective studies that compared combined-modality therapy (CMT) with chemotherapy (CT) alone. Weighted regression analyses were used to estimate the correlation between OS and PFS benefits. Cohen's kappa statistic assessed the consistency between DLBCL risk-models and PFS patterns. Furthermore, the benefit trend of RT was analyzed by fitting a linear regression model to the pooled hazard ratio (HR) according to the PFS patterns.</p></div><div><h3>Results</h3><p>For both 7 RCTs and 52 retrospective studies, correlations were found between PFS HR (HR<sub>PFS</sub>) and OS HR (HR<sub>OS</sub>) at trial level (<em>r</em> = 0.639–0.876), and between PFS and OS rates at treatment-arm level, regardless of CT regimens (<em>r</em> = 0.882–0.964). Incorporating RT into CT increased about 18% of PFS, and revealed a different OS benefit profile. Patients were stratified into four CT-generated PFS patterns (>80%, >60–80%, >40–60%, and ≤40%), which was consistent with risk-stratified subgroups (kappa > 0.6). Absolute gain in OS from RT ranged from ≤5% at PFS >80% to about 21% at PFS ≤40%, with pooled HR<sub>OS</sub> from 0.70 (95% CI, 0.51–0.97) to 0.48 (95% CI, 0.36–0.63) after rituximab-based CT. The OS benefit of RT was predominant in intermediate- and high-risk patients with PFS ≤ 80%.</p></div><div><h3>Conclusion</h3><p>We demonstrated a varied OS benefit profile of RT to inform treatment decisions and clinical trial design.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 3","pages":"Pages 249-259"},"PeriodicalIF":7.6000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000231/pdfft?md5=6ecbbe0e8123ee6ac7c34f77b7ccb7f5&pid=1-s2.0-S2667005424000231-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the National Cancer Center","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667005424000231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To evaluate whether improved progression-free survival (PFS) from radiotherapy (RT) translates into an overall survival (OS) benefit for diffuse large B-cell lymphoma (DLBCL).
Methods
A systematic literature search identified randomized controlled trials (RCTs) and retrospective studies that compared combined-modality therapy (CMT) with chemotherapy (CT) alone. Weighted regression analyses were used to estimate the correlation between OS and PFS benefits. Cohen's kappa statistic assessed the consistency between DLBCL risk-models and PFS patterns. Furthermore, the benefit trend of RT was analyzed by fitting a linear regression model to the pooled hazard ratio (HR) according to the PFS patterns.
Results
For both 7 RCTs and 52 retrospective studies, correlations were found between PFS HR (HRPFS) and OS HR (HROS) at trial level (r = 0.639–0.876), and between PFS and OS rates at treatment-arm level, regardless of CT regimens (r = 0.882–0.964). Incorporating RT into CT increased about 18% of PFS, and revealed a different OS benefit profile. Patients were stratified into four CT-generated PFS patterns (>80%, >60–80%, >40–60%, and ≤40%), which was consistent with risk-stratified subgroups (kappa > 0.6). Absolute gain in OS from RT ranged from ≤5% at PFS >80% to about 21% at PFS ≤40%, with pooled HROS from 0.70 (95% CI, 0.51–0.97) to 0.48 (95% CI, 0.36–0.63) after rituximab-based CT. The OS benefit of RT was predominant in intermediate- and high-risk patients with PFS ≤ 80%.
Conclusion
We demonstrated a varied OS benefit profile of RT to inform treatment decisions and clinical trial design.