Mutational Profile and Prognostic Relevance of Circulating Tumor Cells in Multiple Myeloma

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 23-23 ◽  
Author(s):  
Yuji Mishima ◽  
Bruno Paiva ◽  
Jiantao Shi ◽  
Mira Massoud ◽  
Salomon Manier ◽  
...  

Abstract Introduction: Massive parallel sequencing of tumor cells obtained from the bone marrow (BM) of patients with multiple myeloma (MM) has demonstrated significant clonal heterogeneity with a median of five clones present in each sample. However, it could be envisioned that such clonal diversity may be even higher since single BM samples only represent a small fraction of the whole BM compartment, and the pattern of BM infiltration in MM is typically patchy. Accordingly, it remains unknown whether using liquid biopsies (i.e.: patients' genetic characterization performed in peripheral blood -PB- samples) can provide a more complete profile of MM clonal diversity. Moreover BM biopsies and cannot be repeated multiple times during the course of therapy, indicating a need for less invasive methods to genomically characterize MM patients. We aimed to determine the overall applicability of performing genomic characterization of MM patients non-invasively, and define if the mutation profile of circulating tumor cells (CTCs) reflected that of patient-paired BM clonal PCs. Methods: We performed CTC enumeration using multiparameter flow cytometry (MFC) in 50 newly-diagnosed patients with symptomatic MM who were prospectively enrolled on the Spanish clinical trial PETHEMA/GEM2010MAS65 as well as 64 patients with MM with relapsed disease or in remission/on maintenance therapy seen at the Dana-Farber Cancer Institute. For whole exome sequencing studies, we obtained 8 samples of newly-diagnosed untreated patients whose bone marrow, CTC and germline T lymphocytes were available and selected for exome sequencing. We sequenced the whole exome of BM clonal PCs and CTCs up to 200x, and germline cells up to 50x. Whole genome amplification (WGA) was performed for CTCs, and two independent libraries were constructed from the sample, followed by sequencing up to 100x for each duplicate. For samples with WGA, only single nucleotide variants (SNVs) shared in both parallel libraries were used. Results: Before investigating if CTCs could represent a reliable non-invasive alternative to perform genomic characterization of MM patients, we first aimed to define its true applicability at different disease stages. Using sensitive MFC, we showed that CTCs were detectable in 40/50 (80%) newly-diagnosed MM patients, and in 71/130 (55%) of multiple sequential samples from patients with relapsed disease or in remission/on maintenance. As for the prognostic value of CTC enumeration, 19 of the 40 newly-diagnosed cases displaying PB CTCs had relapsed (median time-to-progression of 31 months); by contrast, only 1 of the 10 patients with undetectable CTCs has relapsed (median time-to progression not reached; P=.08). Afterward, we investigated whether dynamic changes in the kinetics of CTCs in sequential PB samples from patients with relapsed disease or in remission/on maintenance therapy was also predictive of outcome. Accordingly, increasing CTC counts were associated with poor overall survival (P= .01), indicating that both the absolute numbers of CTCs and trend of CTC are predictive of outcome in MM. After demonstrating that CTCs can be readily detected in the majority of MM patients, we then determined the mutational profile of CTCs and compared it to that of patient-paired BM clonal PCs. We identified a median of 223 and 118 SNVs in patient-paired BM clonal PCs and CTCs, respectively. The concordance of somatic variants found in matched BM clonal PCs and CTCs was of 79%. Noteworthy, upon investigating specific mutations implicated in MM (eg. KRAS, NRAS, BRAF) a total of 18 nonsynonymous SNVs (NS-SNVs) in 13 genes were identified in our cohort, and most of these NS-SNVs were simultaneously detected in matched BM clonal PCs and CTCs from the same patients. That notwithstanding, we also identified several unique mutations present in CTC or BM clonal PCs; of those, up to 39 NS-SNV were identified as CTC specific, and 6 NS-SNVs in 4 genes (CR1, DPY19L2, TMPRSS13, HBG1) were detected in CTC from multiple patient samples. A significant concordance for the pattern of copy number variations (CNVs) between matched BM and PB tumor cells was also observed. Conclusion: This study defines a new role for CTCs in the prognostic and molecular profiling of MM patients, and provides the rational for an integrated flow-molecular algorithm to detect CTCs in PB and identify candidate patients for noninvasive genomic characterization to predict outcomes. Disclosures Paiva: Sanofi: Consultancy; Millennium: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Onyx: Consultancy; Binding Site: Consultancy; BD Bioscience: Consultancy; EngMAb AG: Consultancy. Richardson:Millennium Takeda: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Gentium S.p.A.: Membership on an entity's Board of Directors or advisory committees, Research Funding. Laubach:Novartis: Research Funding; Onyx: Research Funding; Celgene: Research Funding; Millennium: Research Funding. Schlossman:Millennium: Consultancy. San Miguel:Millennium: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees.

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 800-800
Author(s):  
Jens G Lohr ◽  
Sora Kim ◽  
Joshua Gould ◽  
Birgit Knoechel ◽  
Yotam Drier ◽  
...  

Abstract Continuous genomic evolution has been a major limitation to curative treatment of multiple myeloma (MM). Frequent monitoring of the genetic heterogeneity in MM from blood, rather than serial bone marrow (BM) biopsies, would therefore be desirable. We hypothesized that genomic characterization of circulating MM cells (CMMCs) recapitulates the genetics of MM in BM biopsies, enables MM classification, and is feasible in the majority of MM patients with active disease. Methods: To test these hypotheses, we developed a method to enrich, purify and isolate single CMMCs with a sensitivity of at least 1:10(5). We then performed DNA- and RNA-sequencing of single CMMCs and compared them to single BM-derived MM cells. We determined CMMC numbers in 24 randomly selected MM patient samples and compared them to numbers of circulating MM cells obtained by flow cytometry. We performed single-cell whole genome amplification of single cells from 10 MM patients, and targeted sequencing of the 35 most recurrently mutated loci in MM. A total of 568 single primary cells representing CMMCs, BM MM cells, CD19+ B lymphocytes, CD45+CD138- WBC from these patients were subjected to DNA-sequencing. By processing 80 single cells from four MM cell lines with known mutations we determined the mean sensitivity of mutation detection in single cells to be 93 ± 9%. In addition to DNA-sequencing we also isolated 57 single MM cells from the BM and peripheral blood of two MM patients and performed whole transcriptome single cell RNA-sequencing. Results: In 24 randomly selected MM patient samples we detected >12 CMMCs per 1ml of blood in all 24 patients. In comparison, by flow cytometry, we detected ≥10 CMMCs per 10(5) white blood cells in 10/24 cases (42%), ≥1 CMMC but ≤ 10 CMMCs in 13/24 cases (54%), and < 1 CTCs in 1/24 patients (4%). Mutational analysis of 35 recurrently mutated loci in 335 high quality single MM cells from the blood and BM of 10 patients, including one MGUS patient, revealed the presence of a total of 12 mutations (in KRAS, NRAS, BRAF, IRF4 and TP53). All targeted mutations that were detected by clinical-grade genotyping of bulk BM were also detected in single cell analysis of CMMCs. While in most patients, the fraction of mutated single cells was similar between blood and BM, in three patients, the proportion of MM cells harboring TP53 R273C, BRAF G469A and NRAS G13D mutations was significantly higher in the blood than in the BM, suggesting a different clonal composition. We developed an analytical model to predict whether a genetic locus underwent loss of heterozygosity, using the distribution of known allelic fractions of previously described mutations in MM cell lines as a benchmark. In two patients who simultaneously harbored two mutations, we predicted a BRAF G469E and a KRAS G12C mutation to be heterozygous, whereas the loci harboring a TP53 R273C and a TP53 R280T mutation were predicted to be associated with LOH with high statistical confidence. Whole transcriptome single cell RNA-sequencing of 57 MM cells from the BM and peripheral blood of two patients showed >3,700 transcripts per cell. Single-cell RNA-sequencing allowed for a clear distinction between normal plasma cells and MM cells, either based on analysis of CD45, CD27, and CD56 alone, or by unsupervised hierarchical clustering of detected transcripts in single cells. In addition, single cell CMMC expression analysis could be used to infer the existence of key MM chromosomal translocations. For example, CCND1 and CCND3 were highly upregulated in single MM cells from the blood and BM of two patients, whose MM was found by FISH analysis to harbor a t(11;14) and a t(6;14) translocation, respectively. Conclusion: We demonstrate that extensive genomic characterization of MM is feasible from very small numbers of CMMCs with single cell resolution. Interrogation of single CMMCs faithfully reproduces the pattern of somatic mutations present in MM in the BM, identifies actionable oncogenes, and reveals if somatic mutated loci underwent loss of heterozygosity. Single CMMCs also reveal mutations that are not detectable in the BM either by single cell sequencing or clinical grade bulk sequencing. Single cell RNA-sequencing of CMMCs provides robust transcriptomic profiling, allowing for class-differentiation and inference of translocations in MM patients. Disclosures Raje: Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Research Funding; Eli Lilly: Research Funding.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4441-4441
Author(s):  
Cody Ashby ◽  
Yan Wang ◽  
Ruslana G. Tytarenko ◽  
Carolina D. Schinke ◽  
Sharmilan Thanendrarajan ◽  
...  

Abstract Introduction Hyperhaploid multiple myeloma is a rare numerical aberration group defined by a range of 24-34 chromosomes. We have previously shown that hyperhaploid myeloma is associated with a poor prognosis with a 5-year survival rate of 23.1%, compared to 64% for hyperdiploid myeloma, and 80.4% for those with a normal karyotype. It is known that hyperhaploid myeloma frequently has monosomy of chromosome 17, making it a high risk group, but no data are currently available on the mutational status of this interesting sub-group, or how the copy number difference arises. Methods We analyzed data from whole genome, whole exome, and targeted panel sequencing from 1141 newly diagnosed myeloma patients. Internal samples were selected for whole exome or targeted sequencing based on previous karyotype information, or were identified in the process of other sequencing studies. The CoMMpass dataset was screened for the presence of hyperhaploidy. Hyperhaploid samples without prior karyotype information were identified by conflicting copy number profile and B allele frequency information, where the samples had incorrectly been normalized to a diploid copy number. These samples were re-normalized to a haploid copy number. Copy number, B allele frequency, and mutations of key genes were examined. Results In the entire dataset 9 hyperhaploid samples were identified, of which 2 came from the CoMMpass dataset. From those with gene expression array data, 5/7 were GEP70 high risk and all belonged to the D1 hyperdiploid gene expression subgroup. Samples had a median of 13 monosomies (range 9-14), which in general were those not associated with trisomies in hyperdiploid samples. The chromosomes traditionally trisomic in hyperdiploid myeloma were disomic in hyperhaploid myeloma. We examined the B allele frequency of these disomic chromosomes and saw that they all retained heterodisomy. Retention of heterodisomy indicates that the method of generating hyperhaploidy is through deletion of the monosomic chromosomes, rather than reverting to a haploid genome followed by duplication of some chromosomes. Retention of heterodisomy was also seen on chromosome 18, which is not normally trisomic in hyperdiploid samples, indicating that heterodisomy of chromosome 18 may be essential for a viable plasma cell clone. We examined the hyperhaploid samples for frequently mutated genes and found that 8/9 (88.8%) of hyperhaploid samples had a mutation in TP53. This rate of mutation far exceeds the overall rate of mutation in newly diagnosed patients (5.5%), indicating an oncogenic dependency in this group. The sample without mutation of TP53 had only 9 monosomies, fewer than the other samples (12-14 monosomies), indicating there may be a prognostic difference that is dependent on the total chromosome count. All samples with TP53 mutation also had monosomy of chromosome 17, indicating bi-allelic inactivation of TP53. The variant allele frequency of the TP53 mutations was high (median=0.94), indicating that bi-allelic inactivation was a clonal event. No other significant mutations were found, including those that encode chromosome segregation or kinetochore proteins. Conclusions We have previously described bi-allelic inactivation of TP53 as Double Hit myeloma, and here we identify that hyperhaploid myeloma belongs to this poor prognosis group. The method of generating the hyperhaploid clone is through deletion of chromosomes, which may happen in a way that is similar to gain of chromosomes in hyperdiploid myeloma. These Double Hit patients may be good candidates for new therapies, but using next generation sequencing techniques researchers must be careful when normalizing data to correctly identify them as hyperhaploid rather than hyperdiploid, using copy number and B allele frequency data. Disclosures Davies: MMRF: Honoraria; TRM Oncology: Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy; ASH: Honoraria. Morgan:Takeda: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Research Funding; Celgene: Consultancy, Honoraria, Research Funding.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 533-533
Author(s):  
Yuji Mishima ◽  
Jens Lohr ◽  
Yu-Tzu Tai ◽  
Ludmila Flores ◽  
Yosra Aljawai ◽  
...  

Abstract Background Clonal evolution involves simultaneous evolution of multiple co-existant subclones. Recent studies have suggested that clonal heterogeneity is critical during the progression of Multiple Myeloma (MM). Circulating tumor cells (CTCs) have been identified in many patients with solid tumors and hematological malignancies. Recent studies have suggested that CTCs can be identified in patients with Multiple Myeloma. The aims of this study were to identify the phenotypic characteristics of CTCs in patients with Mutliple Myeloma at different stages of the disease, to determine whether somatic mutations present in the bone marrow clones are also identified in CTCs or whether specific subclones are more prone to enter the systemic circulation. These subclones may have a higher likelihood of inducing dissemination into extramedullary sites and potential for drug resistance. Methods We analyzed the peripheral blood samples of 466 patients diagnosed with Multiple Myeloma at different stages of progression. Two plasma cell leukemia patients were included in the study. Freshly collected peripheral blood was processed to obtain white blood cell fractions. The cells were stained with eight antibodies including CD19, CD38, CD138, CD45, CD56, CD28, CD44, and CD183 and CTCs were purified by gating on CD19-/CD38+/CD138+ cells. Among them, ten of the CTC samples were selected to analyze somatic mutation using whole exome sequencing. Briefly, 1µg of genomic DNA was extracted form sorted cells followed by shearing, end repair, and ligation to barcoded adaptors. The DNA was size-selected, subjected to exonic hybrid capture and sequenced on Illumina HiSeq flow cells with an average depth of coverage of 100x. Results Of the 466 samples analyzed, the number of CTCs identified ranged from 0.01% to 61% of total WBC count. CTCs were detected in 61.4% of all samples analyzed. CTCs were detected in 64.5% of relapsed MM, 63.4% of newly diagnosed MM, 24.0% of smoldering MM, and 25.0% of MGUS patients. Significant differences of the surface markers including CD45, CD28, CD56, and CD44 were not observed in the different stages of MM disease progression. For further characterization of CTCs, we performed whole exome sequencing of CTCs in 10 MM samples, of which 5 had sequencing of their matched tumor cells collected from BM as well as matched normal germline cells to examine whether circulating tumor cells possess any distinctive somatic mutations. The sequence analysis revealed that both CTCS and marrow restricted tumor cells have substantial numbers of protein-coding mutations. CTCs and bone marrow cells shared 5-38% similar mutations, while interestingly the rest of the mutations were exclusively present in either the CTCs or bone marrow samples. We identified a total of 347 somatic mutations, which included 199 CTC specific mutations. Several known driver mutations were observed, i.e. BRaf V600E mutation present in the CTC samples but not in the matching bone marrow samples in one patient. Twelve of these CTC mutations were shared at least in two patients including ZNF721, NBPH10, F5, and PRDM15. Conclusion These data suggest subclonal out growth of CTCs from one of the parent clones with acquisition of additional mutation over time outside of the bone marrow microenvironment. Further validation of the unique mutations in CTCs may provide mechanistic insight into myeloma cell dissemination, and so potentially inform treatment strategies. Disclosures: Tai: Onyx: Consultancy. Anderson:celgene: Consultancy; onyx: Consultancy; gilead: Consultancy; sanofi aventis: Consultancy; oncopep: Equity Ownership; acetylon: Equity Ownership. Munshi:Celgene Corporation: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Millennium: The Takeda Oncology Company: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Novartis Pharmaceuticals Corporation: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Onyx Pharmaceuticals Inc: Membership on an entity’s Board of Directors or advisory committees. Ghobrial:Noxxon: Research Funding; BMS: Advisory board, Advisory board Other, Research Funding; Onyx: Advisoryboard Other; Sanofi: Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3129-3129
Author(s):  
Hans C. Lee ◽  
Sikander Ailawadhi ◽  
Cristina Gasparetto ◽  
Sundar Jagannath ◽  
Robert M. Rifkin ◽  
...  

Background: Multiple myeloma (MM) is common among the elderly, with 35% of patients (pts) diagnosed being aged ≥75 years (y). With increasing overall life expectancy, the incidence and prevalence of newly diagnosed and previously treated MM patients ≥80 y is expected to increase over time. Because elderly pts are often excluded from clinical trials, data focused on their treatment patterns and clinical outcomes are lacking. The Connect® MM Registry (NCT01081028) is a large, US, multicenter, prospective observational cohort study of pts with newly diagnosed MM (NDMM) designed to examine real-world diagnostic patterns, treatment patterns, clinical outcomes, and health-related quality of life patient-reported outcomes. This analysis reviews treatment patterns and outcomes in elderly pts from the Connect MM Registry. Methods: Pts enrolled in the Connect MM registry at 250 community, academic, and government sites were included in this analysis. Eligible pts were adults aged ≥18 y with symptomatic MM diagnosed ≤2 months before enrollment, as defined by International Myeloma Working Group criteria; no exclusion criteria were applied. For this analysis, pts were categorized into 4 age groups: <65, 65 to 74, 75 to 84, and ≥85 y. Pts were followed from time of enrollment to the earliest of disease progression (or death), loss to follow-up, or data cutoff date of February 7, 2019. Descriptive statistics were used for baseline characteristics and treatment regimens. Survival outcomes were analyzed using Cox regression. Time to progression (TTP) analysis excluded causes of death not related to MM. Results: Of 3011 pts enrolled (median age 67 y), 132 (4%) were aged ≥85 y, and 615 (20%) were aged 75-84 y at baseline. More pts aged ≥85 y had poor prognostic factors such as ISS stage III disease and reduced hemoglobin (<10 g/dL or >2 g/dL <LLN) compared with other age groups, although no notable differences between creatinine and calcium levels were observed across age groups (Table). A lower proportion of elderly pts (75-84 and ≥85 y) received triplet regimens as frontline therapy. More elderly pts received a single novel agent, whereas use of 2 novel agents was more common in younger pts (Table). The most common frontline regimens among elderly pts were bortezomib (V) + dexamethasone (D), followed by lenalidomide (R) + D, whereas those among younger pts included RVD, followed by VD and CyBorD (Table). No pt aged ≥85 y, and 4% of pts aged 75-84 y received high-dose chemotherapy and autologous stem cell transplant (vs 61% in the <65 y and 37% in the 65-74 y age group). The most common maintenance therapy was RD in pts ≥85 y (although the use was low) and R alone in other age groups (Table). In the ≥85 y group, 27%, 10%, and 4% of pts entered 2L, 3L, and 4L treatments respectively, vs 43%, 23%, and 13% in the <65 y group. Progression-free survival was significantly shorter in the ≥85 y age group vs the 75-84 y age group (P=0.003), 65-74 y age group (P<0.001), and <65 y age group (P<0.001; Fig.1). TTP was significantly shorter in the ≥85 y group vs the <65 y group (P=0.020); however, TTP was similar among the 65-74 y, 75-84 y, and ≥85 y cohorts (Fig. 2). Overall survival was significantly shorter in the ≥85 y group vs the 75-84 y, 65-74 y, and <65 y groups (all P<0.001; Fig. 3). The mortality rate was lowest (46%) during first-line treatment (1L) in pts aged ≥85 y (mainly attributed to MM progression) and increased in 2L and 3L (47% and 54%, respectively); a similar trend was observed in the younger age groups. The main cause of death was MM progression (29% in the ≥85 y vs 16% in the <65 y group). Other notable causes of death in the ≥85 y group included cardiac failure (5% vs 2% in <65 y group) and pneumonia (5% vs 1% in <65 y group). Conclusions: In this analysis, elderly pts received similar types of frontline and maintenance regimens as younger pts, although proportions varied with decreased use of triplet regimens with age. Considering similarities in TTP across the 65-74 y, 75-84 y, and ≥85 y cohorts, these real-world data support active treatment and aggressive supportive care of elderly symptomatic pts, including with novel agents. Additionally, further clinical studies specific to elderly patients with MM should be explored. Disclosures Lee: Amgen: Consultancy, Research Funding; GlaxoSmithKline plc: Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Ailawadhi:Janssen: Consultancy, Research Funding; Takeda: Consultancy; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Celgene: Consultancy; Cellectar: Research Funding. Gasparetto:Celgene: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; Janssen: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; BMS: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed . Jagannath:AbbVie: Consultancy; Merck & Co.: Consultancy; Bristol-Myers Squibb: Consultancy; Karyopharm Therapeutics: Consultancy; Celgene Corporation: Consultancy; Janssen Pharmaceuticals: Consultancy. Rifkin:Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Durie:Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Narang:Celgene: Speakers Bureau. Terebelo:Celgene: Honoraria; Jannsen: Speakers Bureau; Newland Medical Asociates: Employment. Toomey:Celgene: Consultancy. Hardin:Celgene: Membership on an entity's Board of Directors or advisory committees. Wagner:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; American Cancer Society: Other: Section editor, Cancer journal. Omel:Celgene, Takeda, Janssen: Other: Patient Advisory Committees. Srinivasan:Celgene: Employment, Equity Ownership. Liu:TechData: Consultancy. Dhalla:Celgene: Employment. Agarwal:Celgene Corporation: Employment, Equity Ownership. Abonour:BMS: Consultancy; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1956-1956
Author(s):  
Amy Wang ◽  
Justin Kline ◽  
Wendy Stock ◽  
Satyajit Kosuri ◽  
Andrew S. Artz ◽  
...  

Background:Treatment options are limited for patients (pts) with hematologic malignancies who relapse after allogeneic stem cell transplantation (allo-SCT). We hypothesized that checkpoint inhibitors may offer a novel approach for maintaining remission after allo-SCT. Data from pre-clinical studies have suggested a potential role for PD-1/PD-L1 inhibitors in acute myeloid leukemia (AML) (Zhang et al., Blood 2009), so it is possible that immunomodulation with checkpoint inhibitors could stimulate the donor anti-leukemia immune response and prevent disease relapse. However, the safety of checkpoint blockade early after allografting remains to be established. Methods:We conducted a pilot study to assess the tolerability and efficacy of Nivolumab, a PD-1 inhibitor, as maintenance therapy after allo-SCT (NCT02985554). Pts were eligible if they were post allo-SCT without evidence of relapse or active graft-vs-host disease (GVHD) or history of prior greater than stage I skin acute GVHD. Nivolumab was to be administered intravenously at 1mg/kg every 2 weeks for 4 doses followed by dosing every 12 weeks. Treatment started 4 weeks after routine immunosuppression was discontinued until 2 years after the transplant. The primary objective was to determine the tolerability of Nivolumab on this schedule. Secondary objectives were evaluation of adverse events, relapse, and overall survival. Results:Four pts were enrolled from December 2017 through November 2018. (Table 1)All pts experienced immune-related adverse events (irAE) from Nivolumab, and 2 (50%) pts experienced serious adverse events. (Table 2)One pt developed grade (G) 4 neutropenia soon after the first dose. (Figure 1)The absolute neutrophil count nadired at 20 cells/µL, at which point pegfilgrastim was administered. An interim bone marrow biopsy (BMBx) confirmed no evidence of relapsed disease. Full neutrophil recovery occurred approximately 3 months after the initial dose, and no subsequent toxicities occurred. Another pt developed G3 autoimmune encephalopathy concurrently with G2 transaminitis and G2 thrombocytopenia after one dose of Nivolumab. (Figure 2)Intravenous methylprednisolone (1mg/kg daily for 3 days) and immunoglobulin (2g/kg in 4 divided doses) were administered, followed by a 7-week steroid taper with full resolution of symptoms. Relapsed disease was ruled out by a BMBx. A third pt developed G2 skin rash approximately 10 days after the first dose of Nivolumab. Skin biopsy demonstrated drug hypersensitivity reaction vs GVHD, and the pt was treated with a 3-week prednisone course (starting at 1mg/kg followed by a taper). A mild flare recurred 2 weeks later, which was treated with topical steroids only. However, Nivolumab was not resumed. The fourth pt developed G2 elevated TSH approximately 2 months into therapy and after 4 doses of Nivolumab. Thyroid hormone replacement was initiated with subsequent symptom improvement and normalization of TSH over a 4-month period. As a result of these unexpected severe toxicities, the study was closed to further enrollment, and further Nivolumab administration ceased. Thus far, one pt (#1) relapsed after a total remission duration of 530 days; the remission duration after starting Nivolumab was 318 days. One pt has mild chronic skin GVHD. All 4 patients remain alive with a median overall survival of 2.3 years (range, 1.9-4.7). Conclusions:Even at low doses, the use of Nivolumab as maintenance therapy in the post allo-SCT setting was not tolerable at the current dosing and schedule due to an unexpected number of high grade irAEs. Additional studies of dose and timing after allo-SCT are needed to improve safety and tolerability, in conjunction with correlative studies to better understand the immunomodulatory processes in the post-transplant setting. Disclosures Kline: Merck: Honoraria; Merck: Research Funding. Stock:Kite, a Gilead Company: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Daiichi: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; UpToDate: Honoraria; Research to Practice: Honoraria. Artz:Miltenyi: Research Funding. Larson:Agios: Consultancy; Novartis: Honoraria, Other: Contracts for clinical trials; Celgene: Consultancy. Riedell:Novartis: Research Funding; Verastem: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: Honoraria, Speakers Bureau; Kite/Gilead: Honoraria, Research Funding, Speakers Bureau. Bishop:CRISPR Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Kite: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Juno: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Liu:Arog: Other: PI of clinical trial; BMS: Research Funding; Agios: Honoraria; Novartis: Other: PI of clinical trial; Karyopharm: Research Funding. OffLabel Disclosure: Nivolumab used as maintenance therapy in the post-transplant setting


Blood ◽  
2017 ◽  
Vol 130 (Suppl_1) ◽  
pp. 901-901
Author(s):  
Sara Bringhen ◽  
Massimo Offidani ◽  
Pellegrino Musto ◽  
Anna Marina Liberati ◽  
Giulia Benevolo ◽  
...  

Abstract Introduction : Rd and MPR showed to be effective combinations in elderly newly diagnosed multiple myeloma (NDMM) patients (pts). Cyclophosphamide is a less toxic alkylating alternative agent. EMN01 is the first trial to formally compare these three different Lenalidomide-based combinations. Maintenance with Lenalidomide has been recently approved in patients eligible for autologous stem cell transplant (ASCT). Few data are available about the best combination as maintenance in patients not eligible for ASCT. Methods : 662 pts with NDMM were randomized to receive 9 28-day cycles of Rd (lenalidomide 25 mg/day for 21 days; dexamethasone 40 mg on days 1,8,15 and 22 in pts 65-75 years old and 20 mg in those &gt;75 years), MPR (lenalidomide 10 mg/day for 21 days; melphalan orally 0.18 mg/Kg for 4 days in pts 65-75 years old and 0.13 mg/Kg in &gt;75 years pts; prednisone 1.5 mg/Kg for 4 days) or CPR (lenalidomide 25 mg/day for 21 days; cyclophosphamide orally 50 mg/day for 21 days in pts 65-75 years old and 50 mg every other day in &gt;75 years pts; prednisone 25 mg every other day). After induction, pts were randomized to receive maintenance with lenalidomide alone (R; 10 mg/day for 21 days) or with prednisone (RP; R, 10 mg/day for 21 days and P, 25 mg every other day), until disease progression. Results : Pts characteristics were well balanced in all groups; 217 pts in Rd, 217 in MPR and 220 in CPR arms could be evaluated. After a median follow-up of 63.7 months, median PFS was 23.2 months in MPR, 18.9 months in CPR and 18.6 months in Rd (MPR vs CPR p=0.02; MPR vs Rd p=0.08). Median overall survival (OS) was 79.9 months in MPR, 69.4 months in CPR and 68.1 months in Rd (MPR vs CPR p=0.98; MPR vs Rd p=0.64). The most common grade ≥3 adverse event (AEs) was neutropenia: 64% in MPR, 29% in CPR and 25% in Rd pts (p&lt;0.0001). Grade ≥3 non hematologic AEs were similar among arms. At the end of induction, 402 pts were eligible for maintenance, 198 in the RP and 204 in the R groups. PFS from start of maintenance was 22.2 months in the RP group and 17.6 in the R group, with 20% reduced the risk of death/progression for pts receiving RP maintenance (HR 0.81, p=0.07; Figure 1). A subgroup analysis was performed to determine the consistency of RP vs R treatment effect in different subgroups using interaction terms between treatment and cytogenetic abnormalities, ISS, age, sex, induction treatment and response before maintenance (Figure 1). No difference in OS was observed (HR 1.02, p=0.93) but the OS analysis was limited by the low number of events. Median duration of maintenance was 23.0 months in RP pts and 20.5 months in R pts, 14% and 13% of pts discontinued due to AEs, in RP and R groups, respectively. Conclusion : This phase III trial compared 2 different Lenalidomide-containing induction regimens and 2 different Lenalidomide-containing maintenance regimens in an elderly community-based NDMM population. MPR prolonged PFS by approximately 5 months, yet the higher incidence of hematologic toxicity should be carefully considered. The addition of low-dose prednisone to standard lenalidomide maintenance reduced the risk of death/progression by 20%, with a good safety profile. Updated results will be presented at the meeting. Disclosures Bringhen: Mundipharma: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Celgene: Honoraria; Bristol Myers Squibb: Honoraria; Karyipharm: Membership on an entity's Board of Directors or advisory committees. Offidani: celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Musto: Celgene: Honoraria; Janssen: Honoraria. Gaidano: Gilead: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Roche: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. De Sabbata: Celgene: Membership on an entity's Board of Directors or advisory committees. Palumbo: Sanofi: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Binding Site: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Merck: Consultancy, Honoraria, Research Funding; Genmab A/S: Consultancy, Honoraria, Research Funding; Janssen-Cilag: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau; Takeda: Consultancy, Employment, Equity Ownership, Honoraria, Research Funding. Hájek: Amgen, Takeda, BMS, Celgene, Novartis, Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Consultancy, Honoraria; Pharma MAR: Consultancy, Honoraria. Boccadoro: Novartis: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; AbbVie: Honoraria; Mundipharma: Research Funding; Sanofi: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2149-2149
Author(s):  
Romil Patel ◽  
Neeraj Y Saini ◽  
Ankur Varma ◽  
Omar Hasan ◽  
Qaiser Bashir ◽  
...  

Abstract Introduction: The role of autologous hematopoietic stem cell transplantation (auto-HCT) in the management of patients with Waldenström Macroglobulinemia (WM), a rare, indolent lymphoma, has not been established. We had previously published our experience with auto-HCT in a small cohort of WM patients1. Here, we present an updated analysis of auto-HCT with a larger cohort of WM patients. Methods and study population: The study cohort was comprised of 29 patients who underwent high-dose chemotherapy and auto-HCT at MD Anderson Cancer Center (MDACC). The Kaplan-Meier method was used to create survival curves. Overall survival (OS) was defined as the duration from date of transplant to death or last date of follow-up in living patients. Progression-free survival (PFS) was defined as the duration from date of transplant to either progressive disease or death, whichever occurred first. Results: Median age at auto-HCT was 60 (range, 43-75 years). Eight patients (28%) had concurrent light chain amyloidosis (AL). Of the five patients who had MYD88 testing completed, 3 were positive for the MYD88 mutation. Additionally, of these 3 patients, 2 were also positive for CXCR4 mutation. Patients received a median of 2 lines (range 1-6) of therapy prior to auto-HCT; 3(10%) patients had primary refractory disease, 8(28%) were in first remission, and 18 (62%) had relapsed disease. Median time from transplant to last follow-up for the surviving patients was 5.3 years. Preparative regimens received by the patients were: Melphalan (n=20), BEAM-R (n=2), Busulfan/Melphalan (n=1), Cyclophosphomaide/Etoposide/total body irradiation (n=1), Thiotepa/Busulfan/Cyclophosphamide (n=1), and Carmustine/Thiotepa (n=1). Three patients further went on to receive allogeneic transplant either after relapse from auto-HCT or due to disease transformation to aggressive lymphoma. Twenty-eight patients achieved engraftment with a median time to neutrophil engraftment of 11 days (range, 10-15 days). One patient suffered primary graft failure due to progression of disease and died 84 days after transplant. Non-relapse mortality was 3.4% at 1 year. All patients were eligible for response evaluation. The median OS from diagnosis was 12.2 years. Overall response rate was 96%: complete response (n=8, 27.6%), very good partial response (n=5, 17.3%), partial response (n=15, 51.7%), and progressive disease (n=1, 3.4%). PFS and OS at 5 years were 43.3% and 62.9%, respectively. Median PFS and OS from auto-HCT were 4.1 and 7.3 years (Fig. 1A). The median OS from auto-HCT in first remission + primary refractory and relapsed disease was 8.2 years and 4.1 years, respectively.16 patients were alive at the time of censoring while 13 patients had died. Causes of death include relapsed disease (n=6), secondary malignancy (n=2), infection (n=1), chronic graft-versus-host disease (n=1), and unknown (n=3). 8 patients (28%) were positive for concurrent AL amyloidosis. The sites of amyloid involvement were kidneys (n=2), lungs (n=1), bone marrow (n=1), heart(n=1), lymph nodes(n=1), gastrointestinal tract (n=1) and subcutaneous fat aspirate(n=5). The median overall survival for patients with amyloid involvement (n=8) was 12 years. On univariate analyses, the number of chemotherapy regimens prior to transplant (≤ 2 vs >2 lines) was the strongest predictor of overall survival (p=0.03, HR 0.3, CI: 0.09-0.9, log-rank) and PFS (p=0.001, HR 0.24, CI: 0.07-0.85, log-rank). The median PFS in patients with ≤ 2 lines and > 2 lines of therapy was 71 months versus 19 months, respectively (Fig. 1B). Conclusion: Auto-HCT is safe and feasible in selected patients with WM, with a high response rate and durable remission even in patients with relapsed or refractory disease. References: Krina Patel et.al. Autologous Stem Cell Transplantation in Waldenstrom's Macroglobulinemia. Blood 2012 120:4533; Disclosures Thomas: Celgene: Research Funding; Bristol Myers Squibb Inc.: Research Funding; Acerta Pharma: Research Funding; Array Pharma: Research Funding; Amgen Inc: Research Funding. Lee:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies Corporation: Consultancy; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Chugai Biopharmaceuticals: Consultancy; Takeda Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees. Orlowski:Takeda: Consultancy; Celgene: Consultancy; Spectrum Pharma: Research Funding; Janssen: Consultancy; Kite Pharma: Consultancy; Sanofi-Aventis: Consultancy; BioTheryX: Research Funding; Amgen: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy. Champlin:Otsuka: Research Funding; Sanofi: Research Funding. Patel:Poseida Therapeutics, Inc.: Research Funding; Takeda: Research Funding; Abbvie: Research Funding; Celgene: Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1835-1835 ◽  
Author(s):  
Katrina M Piedra ◽  
Hani Hassoun ◽  
Larry W. Buie ◽  
Sean M. Devlin ◽  
Jessica Flynn ◽  
...  

Introduction Immunomodulatory agents (IMiD's) are associated with an increased risk of venous thromboembolism (VTE), particularly when combined with high dose steroids. Studies evaluating the use of lenalidomide-bortezomib-dexamethasone (RVD) and carfilzomib-lenalidomide-dexamethasone (KRD) in the frontline setting for multiple myeloma (MM) have reported a 6% and 24% incidence of thrombosis, respectively, despite primary thrombotic prophylaxis with aspirin (ASA) (Richardson, et al. Blood. 2010; Korde, et al. JAMA Oncol 2015). Recent data, including the Hokusai VTE Cancer Trial, have suggested that safety and efficacy of direct oral anticoagulants (DOACs) are preserved in the setting of treatment of solid malignancy-associated thrombosis (Raskob, et al. N Engl J Med. 2018; Mantha, et al. J Thromb Thrombolysis. 2017). Despite this data, there is limited experience and use of DOACs in prevention of thromboses in the setting of hematologic malignancies, specifically MM. After careful review of literature, since early 2018, we changed our clinical practice and routinely placed newly diagnosed MM (NDMM) patients receiving KRD at Memorial Sloan Kettering Cancer Center (MSKCC) on concomitant rivaroxaban 10 mg once daily, regardless of VTE risk stratification. In the following abstract, we present VTE rates and safety data for newly diagnosed MM patients receiving RVD with ASA vs. KRD with ASA vs. KRD with rivaroxaban prophylaxis. Methods This was an IRB-approved, single-center, retrospective chart review study. All untreated patients with newly diagnosed MM, receiving at least one cycle of RVD or KRD between January 2015 and October 2018 were included. The period of observation included the time between the first day of therapy until 90 days after completion of induction therapy. Patients were identified by querying the pharmacy database for carfilzomib or bortezomib administration and outpatient medication review of thromboprophylaxis with rivaroxaban or ASA. VTE diagnoses were confirmed by ICD-10 codes and appropriate imaging studies (computed tomography and ultrasound). Descriptive statistics were performed. Results During the observation period, 241 patients were identified to have received RVD or KRD in the frontline (99 RVD with ASA; 97 KRD with ASA; 45 KRD with rivaroxaban). Baseline characteristics were well distributed among the three arms, with a median age of 60 (30-94) in the RVD ASA arm, 62 (33-77) in the KRD ASA arm, and 60 (24-79) in the KRD rivaroxaban arm. Patients had International Staging System (ISS) stage 3 disease in 13% (N=13), 9.3% (N=9), and 11% (N=5) of the RVD ASA, KRD ASA, and KRD rivaroxaban arms, respectively. Median weekly doses of dexamethasone were higher in both KRD arms, 40 mg (20-40) vs. 20 mg (10-40) in the RVD ASA arm. The average initial doses of lenalidomide were 22 mg in the RVD ASA arm compared to 25 mg in both the KRD ASA and KRD rivaroxaban arms. After querying the pharmacy database, no patients were identified to have a history or concomitant use of erythropoietin stimulating agent (ESA) use. Treatment-related VTE's occurred in 4 patients (4.0%) in the RVD ASA arm, 16 patients (16.5%) in the KRD ASA arm, and in 1 patient (2.2%) in the KRD rivaroxaban arm. Average time to VTE was 6.15 months (Range 5.42, 9.73) after treatment initiation in the RVD ASA group, while it was 2.61 months (Range 0.43, 5.06) in the KRD ASA group and 1.35 months in the KRD rivaroxaban group. Minor, grade 1 bleeding events per the Common Terminology Criteria for Adverse Events (CTCAE) were identified in 1 (1.1%) patient in the RVD ASA arm, 5 (5.2%) patients in the KRD ASA arm, and 1 (2.2%) patient in the KRD rivaroxaban arm. Conclusion More efficacious MM combination therapies have been found to increase the risk of VTE when using ASA prophylaxis, indicating better thromboprophylaxis is needed. We found patients receiving ASA prophylaxis with KRD were more likely to experience a VTE and these events occurred earlier compared to patients receiving ASA prophylaxis with RVD. Importantly, the rate of VTE was reduced to the same level as ASA prophylaxis with RVD when low-dose rivaroxaban 10 mg daily was used with KRD, and without necessarily increasing bleeding risk. Our retrospective data support the development of prospective clinical trials further investigating DOAC use in thromboprophylaxis for NDMM patients receiving carfilzomib-based treatments. Figure Disclosures Hassoun: Novartis: Consultancy; Janssen: Research Funding; Celgene: Research Funding. Lesokhin:BMS: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Janssen: Research Funding; GenMab: Consultancy, Honoraria; Serametrix Inc.: Patents & Royalties; Genentech: Research Funding; Juno: Consultancy, Honoraria. Mailankody:Juno: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Takeda Oncology: Research Funding; CME activity by Physician Education Resource: Honoraria. Smith:Celgene: Consultancy, Patents & Royalties, Research Funding; Fate Therapeutics and Precision Biosciences: Consultancy. Landgren:Theradex: Other: IDMC; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Other: IDMC; Sanofi: Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. OffLabel Disclosure: Off-label use of rivaroxaban for outpatient prophylaxis of venous thromboembolism (VTE) will be explicitly disclosed to the audience.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4309-4309
Author(s):  
María Abáigar ◽  
Jesús M Hernández-Sánchez ◽  
David Tamborero ◽  
Marta Martín-Izquierdo ◽  
María Díez-Campelo ◽  
...  

Abstract Introduction: Myelodysplastic syndromes (MDS) are hematological disorders at high risk of progression to acute myeloid leukemia (AML). Although, next-generation sequencing has increased our understanding of the pathogenesis of these disorders, the dynamics of these changes and clonal evolution during progression have just begun to be understood. This study aimed to identify the genetic abnormalities and study the clonal evolution during the progression from MDS to AML. Methods: A combination of whole exome (WES) and targeted-deep sequencing was performed on 40 serial samples (20 MDS/CMML patients evolving to AML) collected at two time-points: at diagnosis (disease presentation) and at AML transformation (disease evolution). Patients were divided in two different groups: those who received no disease modifying treatment before they transformed into AML (n=13), and those treated with lenalidomide (Lena, n=2) and azacytidine (AZA, n=5) and then progressed. Initially, WES was performed on the whole cohort at the MDS stage and at the leukemic phase (after AML progression). Driver mutations were identified, after variant calling by a standardized bioinformatics pipeline, by using the novel tool "Cancer Genome Interpreter" (https://www.cancergenomeinterpreter.org). Secondly, to validate WES results, 30 paired samples of the initial cohort were analyzed with a custom capture enrichment panel of 117 genes, previously related to myeloid neoplasms. Results: A total of 121 mutations in 70 different genes were identified at the AML stage, with mostly all of them (120 mutations) already present at the MDS stage. Only 5 mutations were only detected at the MDS phase and disappeared during progression (JAK2, KRAS, RUNX1, WT1, PARN). These results suggested that the majority of the molecular lesions occurring in MDS were already present at initial presentation of the disease, at clonal or subclonal levels, and were retained during AML evolution. To study the dynamics of these mutations during the evolution from MDS/CMML to AML, we compared the variant allele frequencies (VAFs) detected at the AML stage to that at the MDS stage in each patient. We identified different dynamics: mutations that were initially present but increased (clonal expansion; STAG2) or decreased (clonal reduction; TP53) during clinical course; mutations that were newly acquired (BCOR) or disappearing (JAK2, KRAS) over time; and mutations that remained stable (SRSF2, SF3B1) during the evolution of the disease. It should be noted that mutational burden of STAG2 were found frequently increased (3/4 patients), with clonal sizes increasing more than three times at the AML transformation (26>80%, 12>93%, 23>86%). Similarly, in 4/8 patients with TET2 mutations, their VAFs were double increased (22>42%, 15>61%, 50>96%, 17>100%), in 2/8 were decreased (60>37%, 51>31%), while in the remaining 2 stayed stable (53>48%, 47>48%) at the AML stage. On the other hand, mutations in SRSF2 (n=3/4), IDH2 (n=2/3), ASXL1 (n=2/3), and SF3B1 (n=3/3) showed no changes during progression to AML. This could be explained somehow because, in leukemic phase, disappearing clones could be suppressed by the clonal expansion of other clones with other mutations. Furthermore we analyzed clonal dynamics in patients who received treatment with Lena or AZA and after that evolved to AML, and compared to non-treated patients. We observed that disappearing clones, initially present at diagnosis, were more frequent in the "evolved after AZA" group vs. non-treated (80% vs. 38%). By contrast, increasing mutations were similar between "evolved after AZA" and non-treated patients (60% vs. 61%). These mutations involved KRAS, DNMT1, SMC3, TP53 and TET2among others. Therefore AZA treatment could remove some mutated clones. However, eventual transformation to AML would occur through persistent clones that acquire a growth advantage and expand during the course of the disease. By contrast, lenalidomide did not reduce the mutational burden in the two patients studied. Conclusions: Our study showed that the progression to AML could be explained by different mutational processes, as well as by the occurrence of unique and complex changes in the clonal architecture of the disease during the evolution. Mutations in STAG2, a gene of the cohesin complex, could play an important role in the progression of the disease. [FP7/2007-2013] nº306242-NGS-PTL; BIO/SA52/14; FEHH 2015-16 (MA) Disclosures Del Cañizo: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jansen-Cilag: Membership on an entity's Board of Directors or advisory committees, Research Funding; Arry: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 36-37
Author(s):  
Gavin Hui ◽  
Abdullah Ladha ◽  
Edna Cheung ◽  
Caroline Berube ◽  
Steven Coutre ◽  
...  

Introduction: The addition of gemtuzumab ozogamicin (GO) to 7+3 chemotherapy for newly diagnosed acute myeloid leukemia (AML) has been shown to significantly improve event-free survival (EFS) for cytogenetically favorable-risk AML, with marginal benefit for intermediate-risk AML, and no benefit for cytogenetically adverse-risk AML. Of note, with the exception of mutated FLT3-ITD, little is known about the impact of GO in ELN 2017-defined genotypically adverse-risk AML, and a recent randomized trial found no EFS benefit for 7+3+GO in patients (pts) with genotypically favorable-risk, NPM1-mutated AML. Since 2017, our institution incorporated GO into 7+3-based inductions for all "non-adverse" risk AML pts, as defined by wild-type FLT3 and no abnormalities on rapid FISH analysis for del(5q)/monosomy 5, del(7q)/monosomy 7, and del(20q). We report our experience treating all pts with "non-adverse" risk AML-as defined by this algorithm-with 7+3+GO. Methods: An institutional database was queried in order to identify all pts ≥18 years old who received 7+3-based chemotherapy for newly diagnosed AML between 2017 and 2020; pts who received the FDA-approved fractionated dose of GO were included in the analysis. Data collection included demographic variables, karyotype/FISH, targeted PCR analyses, and multigene NGS panels for AML-related mutations including, but not limited to, mutations in FLT3, NPM1, CEBPA, TP53, RUNX1, and ASXL1. Outcome data included response to induction, relapse, and death, as well as hematopoietic cell transplant (HCT) rates, conditioning regimens, and post-transplant complications. Results: Between January 2017 and July 2020, 96 pts received 7+3-based induction at our institution. Of these, 29 (30%) received 7+3 in combination with GO. Median age at diagnosis was 46 years (range 23-66), with 17 (59%) males. Sixteen (55%) pts had ELN favorable-risk AML (5 [31%] by cytogenetics and 11 [69%] by genotype), 6 (21%) pts had ELN intermediate-risk AML, and 7 (24%) pts had ELN adverse-risk AML (4 [57%] by cytogenetics and 3 [43%] by genotype). Median time from diagnosis to start of induction was 4 days (range 0-43). For cytogenetically adverse-risk pts, median time from diagnostic bone marrow biopsy to receipt of adverse karyotype results was 8 days (7-14). Median time from start of induction to receipt of multigene NGS results for all pts was 15 days (3-32). Overall, 22 (76%) pts achieved remission. All genotypically adverse-risk pts (1 with mutated TP53 and 2 with mutated RUNX1) were refractory to induction, while 3 of 4 (75%) cytogenetically adverse-risk pts (1 with t(6;9), 1 with monosomy 7, and 2 with 11q23 abnormalities) achieved remission. Eight of the 29 (28%) pts proceeded to HCT, including 4 adverse-risk pts. Of the adverse-risk pts, all received myeloablative conditioning prior to HCT and 3 (75%) developed veno-occlusive disease (VOD), with 2 (50%) requiring defibrotide therapy. In favorable/intermediate-risk pts, 4 (18%) proceeded to HCT (2 intermediate-risk pts in first remission and 2 favorable-risk pts in second remission). Of these, 2 (50%) received myeloablative conditioning and 1 (25%) developed VOD. At last follow-up, 23 of 29 pts (79%) remained alive, with a median overall survival not reached (range 1-29 months) and a median EFS of 20 months (9-31). The percentage of ELN favorable-, intermediate-, and adverse-risk pts who remained event-free at last follow-up was 75%, 33%, and 43%, respectively. Discussion: This single-center, retrospective cohort describes the outcomes of pts with "non-adverse" risk AML who received induction chemotherapy with 7+3+GO according to a pre-defined algorithm. Using this algorithm, 30% of all pts receiving 7+3-based inductions received GO. Of these, nearly 25% were ultimately found to have adverse-risk AML as defined by ELN 2017 criteria, largely driven by long turn-around times for karyotyping and NGS multigene panel results. No patient with genotypically adverse-risk AML by ELN criteria responded to induction chemotherapy, and 75% of cytogenetically adverse-risk pts who proceeded to HCT developed VOD. Routine use of 7+3+GO induction outside of the context of cytogenetically favorable-risk AML remains controversial, and further study is needed to define the role of GO, particularly for pts with ELN genotypically adverse-risk AML. Table Disclosures Gotlib: Blueprint Medicines Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Chair of the Response Adjudication Committee and Research Funding, Research Funding; Deciphera: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: co-chair of the Study Steering Committee and Research Funding. Liedtke:Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria; GSK: Membership on an entity's Board of Directors or advisory committees; Adaptive: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Muffly:Adaptive: Research Funding; Amgen: Consultancy; Servier: Research Funding. Mannis:AbbVie, Agios, Bristol-Myers Squibb, Genentech: Consultancy; Glycomimetics, Forty Seven, Inc, Jazz Pharmaceuticals: Research Funding.


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