15 results on '"Michael L. Leblanc"'
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2. Five-year outcomes of the S1106 study of R-hyper-CVAD vs R-bendamustine in transplant-eligible patients with mantle cell lymphoma
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Manali Kamdar, Hongli Li, Robert W. Chen, Lisa M. Rimsza, Michael L. Leblanc, Timothy S. Fenske, Thomas C. Shea, Paul M. Barr, Tycel J. Phillips, John P. Leonard, Brad S. Kahl, Jonathan W. Friedberg, and Sonali M. Smith
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Specialties of internal medicine ,RC581-951 - Published
- 2019
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3. Augmented Learning of Heterogeneous Treatment Effects via Gradient Boosting Trees.
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Heng Chen, Michael L. LeBlanc, and James Y. Dai
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- 2023
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4. Meta-analysis of chemotherapy in nasopharynx carcinoma (MAC-NPC): An update on 26 trials and 7080 patients
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Pierre Blanchard, Anne W.M. Lee, Alexandra Carmel, Ng Wai Tong, Jun Ma, Anthony T.C. Chan, Ruey Long Hong, Ming-Yuan Chen, Lei Chen, Wen-Fei Li, Pei-Yu Huang, Dora L.W. Kwong, Sharon S.X. Poh, Roger Ngan, Hai-Qiang Mai, Camille Ollivier, George Fountzilas, Li Zhang, Jean Bourhis, Anne Aupérin, Benjamin Lacas, Jean-Pierre Pignon, Ellen Benhamou, Somvilai Chakrabandhu, Anthony TC Chan, Qiu-Yan Chen, Yong Chen, Richard J Chappell, Horace Choi, Daniel TT Chua, Melvin Lee Kiang Chua, Julian Higgins, Ming-Huang Hong, Ruey-Long Hong, Edwin Pun Hui, C.F. Hsiao, Michael Kam, Georgia Angeliki Koliou, Dora LW Kwong, Shu-Chuan Lai, Ka On Lam, Michael L LeBlanc, Anne WM Lee, Ho Fun Victor Lee, Wen Fei Li, Brigette Ma, Frankie Mo, James Moon, Wai Tong Ng, Brian O'Sullivan, Claire Petit, Jean Pierre Pignon, Sharon X. Poh, Gerta Rücker, Jonathan Sham, Yoke Lim Soong, Ying Sun, Terence Tan, Lin-Quan Tang, Yuk Tung, Joseph Wee, Xuang Wu, Tingting Xu, Yuan Zhang, and Guopei Zhu
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Individual patient data ,Meta-analysis ,Randomized trials ,Chemotherapy ,Nasopharynx carcinoma ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Purpose: Chemotherapy, when added to radiotherapy, improves survival in locally advanced nasopharyngeal carcinoma (NPC). This article presents the second update of the Meta-Analysis of Chemotherapy in NPC. Methods: Published or unpublished randomized trials assessing radiotherapy (±a second chemotherapy timing) with/without chemotherapy in non-metastatic NPC patients were identified. Updated data were sought for studies included in the previous rounds of the meta-analysis. The primary endpoint was overall survival. All trials were analyzed following the intent-to-treat principle using a fixed-effects model. Treatments were classified in five subsets according to chemotherapy timing. The statistical analysis plan was pre-specified. Results: Eighteen new trials were identified. Individual patient data were available for seven. In total, the meta-analysis now included 26 trials and 7,080 patients. The addition of chemotherapy reduced the risk of death, with a hazard ratio (HR) of 0.79 (95% confidence interval (CI) [0.73; 0.85]), and an absolute survival increase at 5 and 10 years of 6.1% [+3.9; +8.3] and + 8.4% [+5.7; +11.1], respectively. The largest effect was observed for concomitant + adjuvant, induction (with concomitant in both arms) and concomitant chemotherapy, with respective HR [95%CI] of 0.68 [0.59; 0.79] (absolute survival increase at 5 years: 12.3% (7.0%;17.6%)), 0.73 [0.63; 0.86] (6.0% (2.5%;9.5%)) and 0.81 [0.70; 0.92] (5.2% (0.8%;9.6%)). The benefit of chemotherapy was also demonstrated by improvement in progression-free survival, cancer mortality, locoregional control and distant control. There was a significant interaction between patient age and chemotherapy effect. Conclusion: This updated meta-analysis confirms the benefit of concomitant chemotherapy and concomitant + adjuvant chemotherapy, and suggests that addition of induction or adjuvant chemotherapy to concomitant chemotherapy improves tumor control and survival. The benefit of chemotherapy decreases with increasing patient age.
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- 2022
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5. Role of chemotherapy in patients with nasopharynx carcinoma treated with radiotherapy (MAC-NPC): an updated individual patient data network meta-analysis
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Claire Petit, Anne Lee, Jun Ma, Benjamin Lacas, Wai Tong Ng, Anthony T C Chan, Ruey-Long Hong, Ming-Yuan Chen, Lei Chen, Wen-Fei Li, Pei-Yu Huang, Terence Tan, Roger K C Ngan, Guopei Zhu, Hai-Qiang Mai, Edwin P Hui, George Fountzilas, Li Zhang, Alexandra Carmel, Dora L W Kwong, James Moon, Jean Bourhis, Anne Auperin, Jean-Pierre Pignon, Pierre Blanchard, Anne Aupérin, Ellen Benhamou, Somvilai Chakrabandhu, Anthony TC Chan, Qiu-Yan Chen, Yong Chen, Richard J Chappell, Horace Choi, Daniel TT Chua, Melvien Lee Kiang Chua, Julian Higgins, Ming Huang Hong, Edwin Pun Hui, Chin-Fu Hsiao, Michael Kam, Georgia Angeliki Koliou, Shu-Chuan Lai, Ka On Lam, Michael L LeBlanc, Anne WM Lee, Ho Fun Victor Lee, Wen Fei Li, Yoke Lim, Brigette Ma, Frankie Mo, Roger Ngan, Camille Ollivier, Brian O'Sullivan, Sharon X Poh, Gerta Rücker, Jonathan Sham, Yoke Lim Soong, Ying Sun, Lin-Quan Tang, Yuk Tung, Joseph Wee, Xuang Wu, Tingting Xu, and Yuan Zhang
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Oncology - Published
- 2023
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6. Data from Cure Models as a Useful Statistical Tool for Analyzing Survival
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John J. Crowley, Michael L. LeBlanc, Bart Barlogie, and Megan Othus
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Cure models are a popular topic within statistical literature but are not as widely known in the clinical literature. Many patients with cancer can be long-term survivors of their disease, and cure models can be a useful tool to analyze and describe cancer survival data. The goal of this article is to review what a cure model is, explain when cure models can be used, and use cure models to describe multiple myeloma survival trends. Multiple myeloma is generally considered an incurable disease, and this article shows that by using cure models, rather than the standard Cox proportional hazards model, we can evaluate whether there is evidence that therapies at the University of Arkansas for Medical Sciences induce a proportion of patients to be long-term survivors. Clin Cancer Res; 18(14); 3731–6. ©2012 AACR.
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- 2023
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7. Supplementary Methods, Tables 1-2 from Cure Models as a Useful Statistical Tool for Analyzing Survival
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John J. Crowley, Michael L. LeBlanc, Bart Barlogie, and Megan Othus
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PDF file - 43K, Details of cure model parametrizations and summaries of regression results on the coefficient scale
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- 2023
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8. How Many Stratification Factors Are Reasonable and Can There be Too Many? Evaluation of Analysis Strategies in the Context of a Randomized Phase 2 Trial in Acute Myeloid Leukemia within the Myelomatch Platform
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Anna Moseley, Boris Freidlin, Rory Michael Shallis, Amer M. Zeidan, David A. Sallman, Richard F. Little, Harry P. Erba, Michael L. Leblanc, and Megan Othus
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Immunology ,Cell Biology ,Hematology ,Biochemistry - Published
- 2022
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9. Restricted survival benefit with right-censored data
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Shixiao Zhang, Michael L. LeBlanc, and Ying‐Qi Zhao
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Statistics and Probability ,Models, Statistical ,Humans ,Computer Simulation ,General Medicine ,Statistics, Probability and Uncertainty ,Survival Analysis ,Article ,Probability ,Proportional Hazards Models - Abstract
The hazard ratio (HR) is widely used to quantify treatment effects. However, it may be difficult to interpret for patients and practitioners, especially when the hazard ratio is not constant over time. Alternative measures of the treatment effects have been proposed such as the difference of the restricted mean survival times (RMST), the difference in survival proportions at some fixed follow-up time, or the net chance of a longer survival. In this paper, we propose the restricted survival benefit (RSB), a quantity that can incorporate multiple useful measurements of treatment effects. Hence, it provides a framework for a comprehensive assessment of the treatment effects. We provide estimation and inference procedures for the RSB that accommodate censored survival outcomes, using methods of the inverse-probability-censoring-weighted (IPCW) U-statistic and the jackknife empirical likelihood. We conduct extensive simulation studies to examine the numerical performance of the proposed method, and we analyze data from a randomized Phase III clinical trial (SWOG S0777) using the proposed method.
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- 2021
10. A strategy for full interrogation of prognostic gene expression patterns: exploring the biology of diffuse large B cell lymphoma.
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Lisa M Rimsza, Joseph M Unger, Margaret E Tome, and Michael L Leblanc
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Medicine ,Science - Abstract
BackgroundGene expression profiling yields quantitative data on gene expression used to create prognostic models that accurately predict patient outcome in diffuse large B cell lymphoma (DLBCL). Often, data are analyzed with genes classified by whether they fall above or below the median expression level. We sought to determine whether examining multiple cut-points might be a more powerful technique to investigate the association of gene expression with outcome.Methodology/principal findingsWe explored gene expression profiling data using variable cut-point analysis for 36 genes with reported prognostic value in DLBCL. We plotted two-group survival logrank test statistics against corresponding cut-points of the gene expression levels and smooth estimates of the hazard ratio of death versus gene expression levels. To facilitate comparisons we also standardized the expression of each of the genes by the fraction of patients that would be identified by any cut-point. A multiple comparison adjusted permutation p-value identified 3 different patterns of significance: 1) genes with significant cut-point points below the median, whose loss is associated with poor outcome (e.g. HLA-DR); 2) genes with significant cut-points above the median, whose over-expression is associated with poor outcome (e.g. CCND2); and 3) genes with significant cut-points on either side of the median, (e.g. extracellular molecules such as FN1).Conclusions/significanceVariable cut-point analysis with permutation p-value calculation can be used to identify significant genes that would not otherwise be identified with median cut-points and may suggest biological patterns of gene effects.
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- 2011
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11. Genetic polymorphisms in oxidative stress-related genes are associated with outcomes following treatment for aggressive B-cell non-Hodgkin lymphoma
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Heather L, Gustafson, Song, Yao, Bryan H, Goldman, Kristy, Lee, Catherine M, Spier, Michael L, LeBlanc, Lisa M, Rimsza, James R, Cerhan, Thomas M, Habermann, Brian K, Link, Matthew J, Maurer, Susan L, Slager, Daniel O, Persky, Thomas P, Miller, Richard I, Fisher, Christine B, Ambrosone, and Margaret M, Briehl
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Adult ,Male ,Lymphoma, B-Cell ,Middle Aged ,Prognosis ,Polymorphism, Single Nucleotide ,Survival Analysis ,Article ,Oxidative Stress ,Young Adult ,Clinical Trials, Phase II as Topic ,Treatment Outcome ,Clinical Trials, Phase III as Topic ,Antineoplastic Combined Chemotherapy Protocols ,Humans ,Multicenter Studies as Topic ,Female ,Aged ,Proportional Hazards Models ,Randomized Controlled Trials as Topic - Abstract
Variable survival outcomes are seen following treatment for aggressive non-Hodgkin lymphoma (NHL). This study examined whether outcomes for aggressive B-cell NHL are associated with single nucleotide polymorphisms (SNPs) in oxidative stress-related genes, which can alter drug metabolism and immune responses. Genotypes for 53 SNPs in 29 genes were determined for 337 patients given anthracycline-based therapies. Their associations with progression-free survival (PFS) and overall survival (OS) were estimated by Cox proportional hazard regression; associations with hematologic toxicity were estimated by logistic regression. To validate the findings, the top three SNPs were tested in an independent cohort of 572 DLBCL patients. The top SNPs associated with PFS in the discovery cohort were the rare homozygotes for MPO rs2243828 (hazard ratio [HR] = 1.87, 95% confidence interval [CI] = 1.14-3.06, P = 0.013), AKR1C3 rs10508293 (HR = 2.09, 95% CI = 1.28-3.41, P = 0.0032) and NCF4 rs1883112 (HR = 0.66, 95% CI = 0.43-1.02, P = 0.06). The association of the NCF4 SNP with PFS was replicated in the validation dataset (HR = 0.66, 95% CI = 0.44-1.01, P = 0.05) and the meta-analysis was significant (HR = 0.66, 95% CI = 0.49-0.89, P0.01). The association of the MPO SNP was attenuated in the validation dataset, while the meta-analysis remained significant (HR = 1.64, 95% CI = 1.12-2.41). These two SNPs showed similar trends with OS in the meta-analysis (for NCF4, HR = 0.72, 95% CI = 0.51-1.02, P = 0.07 and for MPO, HR = 2.06, 95% CI = 1.36-3.12, P0.01). In addition, patients with the rare homozygote of the NCF4 SNP had an increased risk of hematologic toxicity. We concluded that genetic variations in NCF4 may contribute to treatment outcomes for patients with aggressive NHL.
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- 2013
12. An in vitro study of inhibitory activity of gossypol, a cottonseed extract, in human carcinoma cell lines
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Andrzej P. Kudelka, Jennifer Russo, Judith A. Smith, and Michael L Leblanc
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Metabolite ,Drug Evaluation, Preclinical ,Biology ,Pharmacology ,chemistry.chemical_compound ,Carcinoma ,medicine ,Tumor Cells, Cultured ,Humans ,MTT assay ,Gossypium ,Dose-Response Relationship, Drug ,Cell growth ,Plant Extracts ,Gossypol ,medicine.disease ,Antineoplastic Agents, Phytogenic ,In vitro ,Growth Inhibitors ,Dose–response relationship ,chemistry ,Biochemistry ,Seeds ,Growth inhibition ,Cell Division ,Phytotherapy - Abstract
Gossypol, a cottonseed extract, has been shown to have antiproliferative activity in a variety of cancer cell lines. The objective of this study was to determine the inhibitory effects of gossypol on cell proliferation. Five human carcinoma cell lines were evaluated including endometrial (RL95-2), ovarian (SKOV-3), medullary thyroid (TT), and adrenocortical (NCI-H295R and SW-13). Gossypol and the metabolite, apogossypol hexaacetate, were examined at concentrations up to 500 microg ml(-1) and the IC(50) was determined using the MTT assay. Gossypol and apogossypol hexaacetate produced a dose-dependent growth inhibition in all cellular lines examined. The IC(50) for gossypol ranged from 1.3 to 18.9 microM while the IC(50) for apogossypol hexaacetate ranged from 5.2 to 9.0 microM. The results indicate that gossypol possesses antiproliferative action toward human carcinoma cells in vitro. These investigations suggest that gossypol may have therapeutic potential for the treatment of cancer.
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- 2002
13. Total Body Irradiation, Etoposide, Cyclophosphamide and Autologous Peripheral Blood Stem Cell Transplantation Followed by Randomization to Therapy with Interleukin-2 Versus Observation for Patients with Non-Hodgkin’s Lymphoma: Results of a Phase III Randomized Trial by the Southwest Oncology Group (SWOG 9438)
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John A. Thompson, Richard I. Fisher, Michael L. LeBlanc, Joseph M. Unger, Stephen J. Forman, Patrick J. Stiff, and Alexander Fefer
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Immunology ,Cell Biology ,Hematology ,Biochemistry - Abstract
Purpose: To determine the effect of post-transplant immunotherapy with Interleukin-2 (IL-2) on the progression-free and overall survival of patients with non-Hodgkin’s lymphoma (NHL) after autologous stem cell transplantation and to assess the toxicity of post-transplant IL-2 therapy. Patients and Methods: Patients with previously treated low, intermediate, or high grade NHL (except Working Formulation Groups A and I) were treated with high-dose cyclophosphamide, etoposide, and total body irradiation (TBI) and an autologous peripheral blood stem cell transplant (PBSCT). Twenty-eight to 80 days after PBSCT, patients were randomized to treatment with IL-2 versus observation. Results: Between January 1995 and July 2004, three hundred ninety-four patients with low-grade (n=61) or intermediate-high grade NHL (n=315) were registered at one of 39 SWOG transplant centers. One hundred ninety patients did not proceed to randomization, because of patient refusal (44), grade V toxicity (30), disease progression (28), toxicity (28), or other reasons. Two hundred four patients were randomized to treatment with continuous infusion intravenous IL-2 (9 ×106 units/m2/day for four days followed five days later by 1.6 ×106 units/m2/day for 10 days) versus observation. The 4-year progression-free survival estimate for all eligible patients is 34%, and the 4-year overall survival estimate is 52%. There was no difference in progression-free survival (hazard ratio (HR) of IL-2 to observation = 0.90; p = 0.56) nor in overall survival (HR of IL-2 to observation = 0.88; p = 0.55). There were no deaths related to IL-2 treatment. Grade IV IL-2-related toxicities included hematologic (n=10), cardiovascular (4), renal/bladder (2), flu-like symptoms (1), lung (1), metabolic (1), and neurologic (1) and were reversible in all cases. Conclusions: These results confirm earlier SWOG findings that a regimen of cylophosphamide, etoposide and TBI followed by PBSCT can be administered to patients with relapsed or refractory NHL with acceptable toxicity and with encouraging progression-free and overall survival. Post-transplant therapy with IL-2 given at this dose and schedule of administration had no significant effect on post-transplant relapse, progression-free survival or overall survival.
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- 2006
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14. Reply to E. Hawkes et al.
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Persky DO, Smith SM, LeBlanc ML, and Friedberg JW
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- Humans, Positron-Emission Tomography, Research Design, Hodgkin Disease, Lymphoma, Large B-Cell, Diffuse
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- 2020
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15. Continued Risk of Relapse Independent of Treatment Modality in Limited-Stage Diffuse Large B-Cell Lymphoma: Final and Long-Term Analysis of Southwest Oncology Group Study S8736.
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Stephens DM, Li H, LeBlanc ML, Puvvada SD, Persky D, Friedberg JW, and Smith SM
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- Adolescent, Adult, Aged, Aged, 80 and over, Antibodies, Monoclonal, Murine-Derived administration & dosage, Antineoplastic Combined Chemotherapy Protocols administration & dosage, Chemoradiotherapy, Cyclophosphamide administration & dosage, Disease-Free Survival, Doxorubicin administration & dosage, Humans, Lymphoma, Large B-Cell, Diffuse pathology, Middle Aged, Neoplasm Staging, Prednisolone administration & dosage, Prednisone administration & dosage, Recurrence, Risk, Rituximab administration & dosage, Survival Rate, Vincristine administration & dosage, Young Adult, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Lymphoma, Large B-Cell, Diffuse drug therapy, Lymphoma, Large B-Cell, Diffuse radiotherapy
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Purpose: Utility of combined-modality therapy for patients with limited-stage diffuse large B-cell lymphoma (DLBCL) was shown in the Southwest Oncology Group (SWOG) S8736 study, where three cycles of CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone) plus radiotherapy (CHOP3RT) improved 5-year progression-free (PFS) and overall survival (OS) compared with eight cycles of CHOP (CHOP8). Subsequent analysis showed an unexpected overlap of the PFS curves. We aimed to confirm and investigate this observation by performing long-term analysis of SWOG S8736 and evaluating these data alongside data from similar patients receiving rituximab and CHOP3RT (SWOG S0014 study)., Patients and Methods: A subset of patients with limited-stage DLBCL randomly assigned to CHOP8 (n = 150) or CHOP3RT (n = 158) in S8736 was analyzed along with a 56-patient subset treated in S0014 for long-term PFS and OS., Results: Median follow-up in S8736 was 17.7 years. In patients receiving CHOP8 and CHOP3RT, median PFS was 12.0 (95% CI, 8.8 to 14.3) and 11.1 years (95% CI, 8.9 to 14.4), respectively. There were no statistically significant differences in PFS between the groups (P = .73). Median OS was 13.0 (95% CI, 10.4 to 15.2) and 13.7 years (95% CI, 11.1 to 19.4) for patients treated with CHOP8 and CHOP3RT, respectively. Similarly, there were no statistically significant differences in OS between the groups (P = .38). With a median follow-up time 12 years in S0014, 5- and 10-year OS were 82% and 67%, respectively, with a persistent pattern of relapse despite the addition of rituximab., Conclusion: Although 5-year PFS and OS were improved after early analysis in patients with limited-stage DLBCL receiving CHOP3RT versus CHOP8, extended survival data showed similar PFS and OS, with continuous treatment failure. The addition of rituximab (S0014) to combined-modality therapy did not mitigate the continued relapse risk, underscoring the value of prolonged clinical trial patient observation and possible unique biology of limited-stage DLBCL., Competing Interests: Authors’ disclosures of potential conflicts of interest are found in the article online at www.jco.org. Author contributions are found at the end of this article., (© 2016 by American Society of Clinical Oncology.)
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- 2016
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