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Wang, Victoria X.

Mayo Clinic

Dana-Farber Cancer Institute

Citations 2

Tipifarnib As Maintenance Therapy in Acute Myeloid Leukemia (AML) Improves Survival in a Subgroup of Patients with High Risk Disease. Results of the Phase III Intergroup Trial E2902
Luger, Selina M. , Wang, Victoria X., Paietta, Elisabeth , Rybka, Witold B. , Litzow, Mark R. , Rowe, Jacob M. , Appelbaum, Frederick R. , Tallman, Martin S. , Ketterling, Rhett P. , Lazarus, Hillard M. , Larson, Richard A.

Blood | October 11, 2019 | Volume: 126 | Issue: 23 | Pages: 1308-1308

10.1182/blood.v126.23.1308.1308 Get It

Abstract The ECOG-ACRIN Cancer Research Group Led Trial, E2902, was a randomized phase III North American Leukemia Intergroup trial of the Farnesyl Transferase Inhibitor , R115777(Tipifarnib), as maintenance therapy for acute myeloid leukemia (AML). Patients (pts) with AML in remission after requiring salvage therapy (primary induction failure or second or subsequent remission) or over the age of 60 in first remission were eligible. Pts were eligible if they were in a complete remission (CR) or complete remission without platelet recovery (CRp) as confirmed by bone marrow examination within 2 weeks prior to randomization. Consolidation or post remission therapy prior to enrollment was allowed but not required. Pts who had received an allogeneic transplant in this remission were ineligible. Adequate blood counts (absolute neutrophil count >= 1000/mm3 and platelet count >=50,000/mm3), and normal renal, and hepatic function were required within 2 weeks of randomization. Pts were randomized to either receive tipifarnib twice daily (BID) or to observation. Pts were stratified by remission ( CR1 vs > CR1) and whether or not they received consolidation therapy in the current remission. The main objective of this study was to compare disease free survival(DFS) in the two groups. Between August 2004 and December 2009, 144 pts were accrued to the study. The median age of the pts was 69 (range 28-86). Seventy-three pts (51%) were male and 135 pts (94%) were white. The majority of pts enrolled on the study (70%) were in first CR, and had post remission chemotherapy (56%) prior to randomization. Seventy-three pts were enrolled onto the treatment arm (Arm A) and 71 pts were enrolled onto the observation arm (Arm B). When the study was initially opened, pts on Arm A were treated with tipifarnib at a dose of 400 mg BID with dose reductions and interruptions defined per protocol for toxicity. After the first planned interim analysis, based on toxicity data, the ECOG Data Monitoring Committee recommended that the starting dose be decreased to 300 mg BID. While non-hematologic toxicity was acceptable, significant hematologic toxicity was seen in pts treated at an initial dose of either 400 mg or 300 mg BID. Of note, hematologic toxicity was also seen on the observation arm although less frequently than with both treatment doses. The primary endpoint of the study was analysis of DFS on an intent to treat basis. The median DFS for arms A and B are 8.87 months and 5.26 months respectively ( p=0.058, HR 0.760). When restricted to eligible patients only(n=134 ), the DFS for arms A and B are 10.81 vs 5.26 months, respectively ( p=0.019, HR 0.690). An unplanned subgroup analysis was performed by gender. The median DFS for male pts (n=73) is 5.36 vs 5.91 months for arms A and B respectively (p=0.868, HR 1.320) and 12.09 vs 3.91 months for female pts (n=71)(p=0.0002, HR=0.408) In a multivariate Cox proportional hazards model to adjust for baseline clinical variables, there is a significant interaction between treatment and gender. (Table 1) Similar results were noted for OS (Figure 1). ECOG ACRIN Trial E2902 evaluated the potential role of Tipifarnib ( R115777) in patients with AML in remission with a high risk of relapse. While the primary endpoint for improved DFS was not reached when evaluating all randomized pts, when restricted to eligible patients only, there is a statistically significant improvement in DFS seen. Moreover, an unplanned subgroup analysis by gender demonstrates an improvement in DFS and OS for females who were enrolled on the study which persists on multivariate analysis. Possible explanations include the use of flat dosing rather than BSA based dosing on this study. However futher evaluation of patient and disease characteristics, dosing and toxicity profiles of responders and nonresponders is needed. Given what appears to be a potentially clinically relevant benefit, further evaluation of this agent is warranted. Table 1. Multivariate Cox Proportional Hazards Model for DFS: All Randomized Patients Hazard Ratio (95% CI) P value Arm B vs A 2.559(1.547,4.236) 0.00025 Male vs Female 2.005(1.228,3.274) 0.00544 CR1 vs >CR1 0.447 (0.305,0.656) 0.00004 Figure 1. (A) DFS (B) OS in Female Patients Figure 1. (A) DFS (B) OS in Female Patients Disclosures Rowe: BioSight Ltd.: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy; BioLineRx Ltd.: Consultancy. Larson:Astellas: Consultancy, Research Funding.
Novel Associations Between Mutations, Prognostic and Clinical Parameters in Untreated Progressive CLL: Data from E1912, a Randomized Phase III Study of the ECOG-ACRIN Cancer Research Group
Wang, Victoria X., García, Santiago , Bruins, Laura A., Lesnick, Connie , Tallman, Martin S. , Braggio, Esteban , Barrientos, Jacqueline C. , O’Brien, Susan , Fonseca, Rafaël , Kay, Neil E. , Shanafelt, Tait D.

Blood | October 11, 2019 | Volume: 128 | Issue: 22 | Pages: 4373-4373

10.1182/blood.v128.22.4373.4373 Get It

Abstract Sequencing studies have significantly improved our understanding of the CLL genetic landscape and allowed the identification of the first associations between specific mutations and clinical outcome. Hence, mutations in TP53, NOTCH1, SF3B1, BIRC3 and MYD88 are known to be associated with differential prognosis and have been incorporated in CLL risk stratification models. Despite the work performed on these 5 genes, several additional putative tumor-driver genes are recurrently mutated in CLL, but their clinical impact remains unclear. In order to gain further understanding, we performed targeted sequencing in baseline samples of 308 CLL patients (pts) participating in the North American Intergroup study (NAIG) designated as E1912 and led by ECOG. This trial is a randomized Phase III of Ibrutinib (Ibr) and Rituximab (R) vs FCR in previously untreated CLL. Besides the 5 genes aforementioned, we screened another 19 genes recurrently mutated in CLL, and 2 genes (BTK and PLCy2) recently associated with Ibr resistance. The CD5+/CD19+ B lymphocyte population of these pts was flow-sorted. All coding regions were amplified using customized oligos. Libraries were templated and enriched using IonOneTouch2 and IonOneTouch ES systems, respectively. Samples were run on an IonTorrent sequencer using 318TM chips. Variants were called using IonTorrent Somatic VariantCaller. VCF files were annotated using BioR, which provides annotation from NCBI/Ensembl, UCSC, dbSNP, HapMap, 1000Genomes, COSMIC, SIFT, and PolyPhen-2. Somatic variants with a Mapping Quality <20 or read depth <5X were removed. Variants of interest were inspected using Integrative Genomics Viewer. The mutational status of genes and pathways was analyzed for association with chromosomal abnormalities detected by FISH, expression of CD38, CD49d and ZAP70, Rai stage, age and gender. We were not able to evaluate associations to clinical responses for the different arms as this trial is still underway and remains blinded for clinical outcome. We found 511 SNVs (442 missense, 45 nonsense and 24 splice sites) and 115 indels. An average coverage of 770X depth was obtained, allowing the detection of minor subclonal mutations (<10% of reads) in almost 35% (218/626 mutations). Overall, 215 pts (70%) carried at least one mutated gene, 102 (33%) carried 2 or more and 32 (10%) 3 or more mutated genes. The most commonly mutated gene was SF3B1 (22%), followed by NOTCH1 (19%), ATM (12%), XPO1 (11%), BIRC3 (9%), KRAS (7%), BRAF, DDX3X, EGR2, POT1 and TP53 (6% each). No BTK or PLCy2 mutations were found in progressive but untreated CLLs. In contrast to a recent report (Nature 2015;526:525-30), we found BRAF mutations located in the canonical hotspot p.V600E (25% of total mutations). Another 13% were located in amino acid K601 (p.K601E/N) and the remaining in the kinase domain (p.G469A, p.D594G, p.F595L, p.G596R, p.L597Q).Nearly 27% of cases with activating mutations in the RAS pathway (BRAF, KRAS, NRAS), showed >1 mutation affecting one or more genes of the pathway. Similar observations were found in mutational hotspots of BIRC3 (30% of mutated cases showed >1 mutation), MED12 (18%), SF3B1 (7%), XPO1 (6%), and NOTCH1 (5%), suggesting the existence of genetic subclones showing convergent evolution in a substantial number of CLL. We found multiple associations between mutations and known prognostic and clinical parameters. These included mutations in NOTCH1 associated with +12 (p=0.005), and expression of ZAP70 (p=0.01), CD38 (p=0.001) and CD49d (p=0.004). Mutant BIRC3 was associated with +12 (p<0.001) and CD38 expression (p=0.01). Mutations in RAS pathway, with +12 (<0.001), and expression of CD38 (p=0.002) and CD49d (p=0.05). ATM (p=0.007) and EGR2 (p=0.002) with -11q; POT1 with CD49d expression (p=0.01), and MYD88 with -13q (p=0.04) and lack of CD38 (p=0.01) and CD49d (p=0.01) expression. This study, performed on a large cohort of untreated but progressive CLLs, provides novel data about the mutation status of driver genes and their associations with clinical and prognostic parameters. Our data indicate that convergent evolution is a common event in CLL, affecting several driver genes. Furthermore, it reinforces that BTK and PLCy2 mutations are not found in Ibr-naive pts. Finally, this study provides the genetic groundwork for subsequent prospective comparative analyses of the clinical outcome for CLL cohorts treated with Ibr-R vs FCR in this phase 3 NAIG trial. Disclosures O'Brien: Janssen: Consultancy, Honoraria; Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding. Fonseca:Novartis: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Novartis: Consultancy; Janssen: Consultancy; BMS: Consultancy; AMGEN: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; AMGEN: Consultancy; Millennium, a Takeda Company: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Sanofi: Consultancy; Celgene: Consultancy; Celgene: Consultancy; Bayer: Consultancy; Janssen: Consultancy; Millennium, a Takeda Company: Consultancy; Millennium, a Takeda Company: Consultancy; AMGEN: Consultancy; AMGEN: Consultancy; Bayer: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Millennium, a Takeda Company: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms. Shanafelt:Genentech: Research Funding; Pharmacyclics: Research Funding; Celgene: Research Funding; GlaxoSmithkKine: Research Funding; Janssen: Research Funding; Cephalon: Research Funding; Hospira: Research Funding.