scholarly journals Prognostic Impact of Hyperdiploidy on Multiple Myeloma in the Era of New Agents

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 20-20
Author(s):  
Yi Wang ◽  
Jing Zhuang ◽  
Gang An ◽  
Xue-Han Mao ◽  
Chenxing Du ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Prognostic Factor ◽  
Conflicts Of Interest ◽  
Critical Role ◽  
Univariate Analysis ◽  
Medical Science ◽  
Novel Agents ◽  
Prognostic Impact ◽  
Complex Karyotype

Introduction Multiple myeloma (MM) is a kind of hematological malignancy which is characterized by high genetic heterogeneity. It has been proved that the existence and even the coexistence of numerical and structural cytogenetic abnormalities (CAs) play a critical role in the development and progression of MM. Hyperdiploidy (HD), as one of the two primary CAs of MM, can be observed in around half of the patients and is considered as a favorable prognostic factor. Nevertheless, its role in overcoming the negative effect of concomitant high-risk CAs remains controversial. Although the outbreak of novel drugs by the last decades, such as proteasome inhibitors (PIs) and Immunomodulatory drugs (IMiDs), has significantly improved the survival of patients, MM is still incurable and can relapse recurrently. The prognostic impact of HD in the era of novel agents and its impact on other CAs are unclear and under to be explored. Here, we report our results based on the Chinese population to provide some evidence for the above questions. Methods A total of 213 patients between January 2013 to November 2017 were included in this study. All of the participants were from our database consisting of patients with newly diagnosed MM (NDMM) enrolled into the prospective, nonrandomized clinical trial (BDH 2008/02 or BDH 2014/03, all informed consents were obtained) approved by Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College. According to patients' willingness and specific conditions, they were assigned to either PI- or IMiD-based inductive treatment and maintenance, with or without autologous stem cell transplantation (ASCT) as consolidation therapy. Bone marrow aspirate samples were collected before the initiation of therapy and MM cells were enriched by CD138 magnetic beads. Then fluorescence in situ hybridization (FISH) was performed. Specifically, if patients possessed at least an extra copy of probes for any two of chromosomes 5, 9, or 15 concurrently in more than 10% cells, they would be classified into HD subgroup; otherwise, they would be divided into NHD (non-hyperdiploidy) subgroup. Clinical and biological baseline characteristics were compared. Progression-free survival (PFS) and overall survival (OS) were measured using the log-rank test. Significant variables from the univariate analysis were selected for the cox stepwise regression analysis. Results In our cohort, HD was identified in 34% (72/213) NDMM patients. HD was more common among older people (p=0.007). Patients with HD often had a lower level of serum albumin (p=0.037), but NHD patients had a higher frequency of elevated lactate dehydrogenase (LDH). Moreover, immunoglobulin isotype distribution was not similarly (p<0.001), in which patients with NHD were more often IgD or light chain isotype. As to the genetics aspect, 99.1% (211/213) patients harbored at least one CA, and NHD patients appeared to be more genetic instability. 14q32 (IGH) translocation(p<0.001), del(13q) (p<0.001) and del(17p) (p=0.012) were likely to be detected in patients with NHD. However, there were no significant differences in the ratio of 1q21 gain/amplification and complex karyotype. Among patients with IGH translocation, t(14;undefined) [could not find partner genes by t(4;14), t(11;14), t(14;16) or t(14;20) probes] and t(11;14) were the most common translocation type in HD and NHD patients respectively. Median follow-up was 37 (4-82) months, Patients with HD showed a better median PFS (41 months vs. 27 months, p=0.047) and median OS (75 months vs. 55 months, p=0.024). Further subgroup analysis showed that the prolonged survival of HD was significant in patients who did not receive ASCT as part of the first-line therapy, but it could not overcome negative prognostic effects of other CAs except complex karyotype. Multivariate analysis confirmed that the state of ploidy was an independent prognostic factor for MM. Conclusions HD patients have specific differences in clinical and biological features. In the era of novel agents, MM patients with HD still have better survival than NHD. However, it may not ameliorate the adverse prognosis of concurrent high-risk CAs identified by FISH. Figure Disclosures No relevant conflicts of interest to declare.

Impact of Novel Agents on Young Patients with t(11;14) Multiple Myeloma

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2059-2059
Author(s):  
Jonas Paludo ◽  
Nishanth Vallumsetla ◽  
Shaji Kumar ◽  
Rhett Ketterling ◽  
Morie A Gertz ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Conflicts Of Interest ◽  
Young Patients ◽  
Novel Agents ◽  
Prognostic Impact ◽  
Cell Transplant ◽  
Genetic Signature ◽  
Normal Fish ◽  
Standard Risk

Abstract Background: Outcome studies for the unique cohort of young patients with multiple myeloma (MM) are sparse. In general, MM is a heterogenous disease with the genetic signature being one of the major determinants of prognosis. We have recently reported on improvement in overall survival (OS) of young patients with the use of novel agents, but the maximal survival gain has been achieved by integrating autologous stem cell transplant (SCT) to our current approach. Herein, we report on outcomes of patients with MM who were 50 years or younger at diagnosis and stratified by fluorescence in situ hybridization (FISH) results. Our study focuses on t(11;14) myeloma as its prognostic impact remains unclear with the use of novel agents upfront. Methods: Out of 1384 patients with MM, evaluated consecutively at Mayo Clinic, Rochester, MN between 1/1/2000 and 12/31/2011, 290 (21%) were 50 years or younger at diagnosis. Interphase FISH, performed within 100 days of diagnosis of MM, was utilized to stratify patients as high-risk [deletion 17p, t(14;16), t(14;20) or t(4;14)] or standard-risk [normal FISH, trisomies, t(11;14), t(6;14) or monosomy13/deletion 13q]. FISH results were available in 125 young patients that comprise the cohort of interest in the current study. OS from diagnosis was estimated by the Kaplan-Meier method. Results: Median age at diagnosis of MM was 47 years (range: 22 to 50 years) and 58% of the patients were male. At the time of data cut-off (7/31/2014), 45 (36%) patients had died with 90% of all known causes of deaths (n=39) being MM related. FISH abnormalities were noted in 114 (91%) patients. At diagnosis, 46%, 30% and 24% patients were categorized as International Staging System (ISS) stage I, II and III, respectively. The estimated median follow up was 60 months (95% CI: 54-67) and the 5-year OS rate was 69% [median 86 months (95% CI: 76-108)]. Standard (n=100; 80%) and high (n=25; 20%) risk patients had a median OS of 89 months (95% CI: 76-108) and 77.6 months (95% CI: 42-130), respectively (p=0.87). In order to further investigate the similar outcomes between these broad risk-groups with typically diverse disease course, we assessed the outcomes based on the common genetic abnormalities (Table 1) within each of the 2 categories. Presence of t(11;14) (n=37; 29%) was associated with a significantly shorter median OS (76 months) compared to patients with trisomic and normal FISH profile (n=46) (91 months, p=0.01; Figure 1). Patients with t(11;14) also had a significantly shorter median OS compared to those with other standard-risk FISH abnormalities (median OS 96 months, p=0.02). Presence of t(11;14) was not associated with higher plasma cell labeling index (PCLI, p=0.29) or worse ISS stage (p=0.99) compared to patients without t(11;14). OS survival of patients with t(11;14) was similar to those with high risk features (median 76.2 vs. 77.6 months, p=0.32). Of 24 (65%) patients with t(11;14) who underwent SCT, 79% had early SCT (within 12 months from diagnosis). Median OS was 79.4 months (95% CI: 36-108) vs. not reached (NR) (95% CI: 27-NR), respectively (p=0.79) in early versus late SCT. Twenty-one (57%) and 13 (35%) patients with t(11;14) received initial immunomodulatory drugs or bortezomib-based therapies, respectively. Those receiving frontline bortezomib had a higher median OS (76.2 months, 95% CI 76-79) compared to 64.8 months (95% CI 32-108) with other initial agents although it did not reach statistical significance (p=0.78). Conclusion: Presence of t(11;14) is associated with an inferior OS compared to patients with normal FISH, trisomies, or other standard risk abnormalities in young patients with MM. Given, the inherent biases associated with a retrospective study from a referral institution, our findings require external validation. However, our data suggest that our current therapeutic approaches in managing young patients with this unique genetic signature are inadequate. Table 1FISHn(%)Median OS in months (95% CI)t(11;14)37(29)76.2 (53.5-107.7)Trisomies35(28)91.3 (76.4-NR)13/del(13q)11(9)NR (32-NR)Normal11(9)95.5 (45.4-95.6)t(4;14)11(9)NR (40.1-NR)del(17p)/-1710(8)42 (19.2-129.6)t(14;16)4(3)77.6 (42.4-NR)Others6(5)NR (11.5-NR) Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

FLC Assay and Multiparameter Flowcytometry Based Clonal Plasma Cell Measurement Are Independent but Complementary in Assessing the Treatment Response in Multiple Myeloma.

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2969-2969
Author(s):  
Hiroki Sugihara ◽  
Kenji Tsuda ◽  
Tomotaka Ugai ◽  
Yuki Nishida ◽  
Masayuki Yamakura ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Partial Response ◽  
Plasma Cell ◽  
Cox Regression ◽  
Conflicts Of Interest ◽  
Univariate Analysis ◽  
Response To Treatment ◽  
Rank Test ◽  
Multiparameter Flow Cytometry ◽  
Prognostic Impact

Abstract Abstract 2969 Purpose: Although stringent complete response (sCR) defined by paraprotein negativity on immunofixation and serum free light chain (sFLC) ratio normalization are considered deeper responses in the IMWG criteria, recent report indicated that Multiparameter flow cytometry (MFC)-dased immunophenotypic response (IR) is a more relevant prognostic factor in MM patients. However, data on the prognostic impact of IR and sFLC ratio (sFLCκ/λ) normalization are still scarce. We investigated the prognostic impact of IR and sFLCκ/λ normalization in MM patients treated with novel agents. Patients and Methods: A total of 124 consecutive patients (M:F=68:56; median age, 71 yr) were treated by chemotherapy regimens containing at least one novel agent (thalidomide, bortezomib, lenalidomide)from April 2005 to May 2012. Treatment responses were assessed using the IMWG criteria, and the best response to treatment during the clinical course was assessed by simultaneous serum immunofixation, sFLC measurements, and MFC analysis of bone marrow (BM) plasma cells. Normalization of sFLCκ/λ was defined 2 consecutive normal sFLCκ/λ apart from at least 4 weeks. MFC-defined minimal residual disease (MRD) was evaluated by single-tube 6-color MFC, CD45-CD38 gating strategy, and combination CD19, CD56, and cytoplasmic κ-λ analysis. Clonal plasma cell (PC) negativity by MFC (MFC-negative) was defined as <10−4 neoplastic PCs in BM samples on MFC. Overall survival (OS) and progression-free survival (PFS) were analyzed by the Kaplan–Meier (K-M) method and differences between curves were calculated by two-sided log-rank test. Univariate analysis was used to assess the impacts of factors on sFLCκ/λ normalization and MFC negativity (age, Durie–Salmon stage, ISS stage, LDH, hemoglobin, serum albumin, serum creatinine, FISH at diagnosis). The Cox regression proportional hazard model (stepwise regression) was used to explore the independent effects of these variables on PFS and OS. Results: At a median follow-up of 25.8 months, 3- and 5-year OS of all patients were 61.0% and 42.4%, respectively. CR was obtained in 25% (31/124), very good partial response (VGPR) in 33.5% (41/124), partial response (PR) in 30.5% (38/124), and stable disease or less (SD) in 11% (14/124). Normal sFLCκ/λ was achieved in 81% of CR, 56% of VGPR, 13% of PR, and 0% of SD or less response of patients. K-M estimated 3- and 5-year OS were 100% in CR patients; these were significantly better than in VGPR (75.8% and 43.2%, respectively) and PR patients (63% and 26.7.%, respectively). There were no significant differences in 3- or 5-year OS between VGPR and PR patients. Normal sFLCκ/λ and MFC negativity were achieved in 25 (81%) and 18 (58%) of 31 CR patients, respectively. Among 25 CR patients with normal sFLCκ/λ (stringent CR), 15 (60%) were MFC-negative and 10 (40%) were MFC-positive; three of 6 CR patients (50%)without normal sFLCκ/λ were MFC-positive. Twenty-three of 41 VGPR patients (56%) obtained normal sFLCκ/λ, while only 5 (12%) became MFC-negative; all 5 MFC-negative patients also obtained normal sFLCκ/λ. Among 52 patients with less than PR, only 5 (9.6%) obtained normal sFLCκ/λ and none achieved MFC negativity. Patients with MFC-negative CR showed significantly better PFS than patients with MFC-positive CR (p<0.05). Although patients in stringent CR with MFC-negative showed slightly better PFS compared to patients in stringent CR with MFC-positive, difference between the curves were not significant. Within the group of VGPR, PFS and OS were significantly longer in normal sFLCκ/λ patients than abnormal sFLCκ/λ(P<0.001). Univariate analysis showed that hemoglobin 10.0 g/dl>, age >70 yr, and abnormal LDH had negative prognostic impacts on attaining normal sFLCκ/λ, but none of these factors remained significant on multivariate analysis. Cox analysis showed that sFLCκ/λ normalization was an independent prognostic factor for longer PFS and OS in patients with CR, VGPR and PR (P=0.001). Conclusions: This study confirmed that magnitude of CR and VGPR response defined by IMWG criteria was heterogeneous in terms of sFLCκ/λ normalization and MFC negativity. Although MFC and sFLC analysis frequently gave discrepant results among patients with CR and VGPR, both analyses appeared to give important complementary information for assessing the depth of CR and VGPR category. Disclosures: No relevant conflicts of interest to declare.

Outcome and Prognostic Factors of 17p Deleted Multiple Myeloma Patients

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3994-3994
Author(s):  
Miriam Kull ◽  
Veronica Teleanu ◽  
Daniela Hayde ◽  
Katrin Wildbihler ◽  
Stephanie Harsdorf ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Prognostic Factors ◽  
Univariate Analysis ◽  
Autologous Transplantation ◽  
Novel Agents ◽  
Treatment Modalities ◽  
Prognostic Impact ◽  
The Novel ◽  
Clone Size ◽  
Genetic Abnormalities

Abstract Introduction: During the last decade, the outcome of patients (pts) with symptomatic multiple myeloma (MM) has markedly improved. However, there is still a significant proportion of pts who do not achieve a longtime control of their disease. In particular, pts presenting with a deletion 17p (del17p) still have dismal prognosis. In order to better stratify this important group of MM pts we sought to investigate the prognostic impact of the following parameters in a larger cohort of del17p pts: del17p clone size, concomitant genetic abnormalities, treatment modalities and the incorporation of the novel agents lenalidomide and bortezomib. Methods: We identified 54 MM pts diagnosed between 1998 – 2012 who had a del17p at diagnosis and were treated at the University Hospital of Ulm. The patients were screened for additional chromosomal aberrations by fluorescence in situ hybridization (FISH) performed on purified bone marrow plasma cells. Results: The median age at MM diagnosis was 59 years and the proportion of male pts was 52%. At presentation the median del17p clone size was 83% (range: 28%-98%). In the vast majority of cases (83%) the presence of a del17p was associated with the presence of a del13q14. Other concomitant genetic abnormalities detected by FISH were t(4;14) in 17%, t(11;14) in 30% and gain at 1q21 (+1q21) in 31% of cases (figure 1). The median overall survival (OS) was poor (18.9 months) and did not change substantially over time (similar median survival in pts diagnosed before 2006 versus pts diagnosed thereafter). The del17p clone size had no impact on OS, neither the presence of a t(4;14) or a t(11;14). In patients with an additional +1q21 OS was significantly shorter (15.2 versus (v) 32.4 months; p=0,032). The incorporation of one of the novel agents into first-line treatment did not change the outcome significantly. In contrast, pts receiving at least one autologous transplantation showed a significantly longer OS (33.1 v 12.7 months; figure 2). On univariate analysis there was an improved median OS for pts undergoing an allogeneic transplantation (n=15; 32.4 v 14.4 months; p=0.025). In multivariate analysis ISS stage and the implementation of an autologous transplantation remained significant prognostic factors for OS. Conclusions: The outcome of MM pts with a del17p remains poor, even after the introduction of lenalidomide and bortezomib into clinical practice. The development of novel therapeutic strategies therefore is urgently warranted. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

Prognostic Impact Of Comorbidity In Multiple Myeloma

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 5340-5340 ◽  
Author(s):  
Rafael Ríos Tamayo ◽  
Joaquín Martínez López ◽  
Manuel Jurado ◽  
María Esther Clavero Sánchez ◽  
Fátima López Jiménez ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Prognostic Factors ◽  
Liver Disease ◽  
Plasma Cell ◽  
Cox Regression ◽  
Conflicts Of Interest ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Prognostic Impact ◽  
Alcoholic Fatty Liver

Abstract Multiple myeloma (MM) is a heterogeneous disease. Evaluation of prognostic factors and risk stratification at diagnosis is necessary to compare outcome. Attempts have been made to apply a comorbidity score in the clinical sitting, but a standardized general approach is still lacking. We hypothesized that a comprehensive examination of every associated disease in a large cohort of patients could better highlight the prognostic impact of comorbidity in MM. All consecutive patients diagnosed in our institution, from 1993 to 2013, with symptomatic MM according to IMWG criteria were included in our population-based MM registry. Patients with plasma cell leukemia or with palliative management were excluded. Clinical variables analyzed were: age, sex, Durie-Salmon, International Scoring System (ISS), percentage of plasma cell in bone marrow by morphology (PC), serum creatinine (Cr) and estimated glomerular filtration rate according with Modification of Diet in Renal Disease (eGFR-MDRD). The following comorbodities were analysed: hypertension (HTA), diabetes (DM), obesity (OB) (body mass index > 30 Kg/m2), hyperlipaemia (HL), prior malignancy (PM), hepatitis B virus (HBV), hepatitis C virus (HCV), human immunodeficiency virus (HIV), peptic ulcer (PU), thromboembolism (TE), renal transplant (RT), splenectomy (S), cutaneous disease (CD), amyloidosis (AM), heart disease (HD) (arrhythmia, congestive heart failure, coronary artery disease, other), lung disease (LD) (chronic obstructive pulmonary disease, asthma, other), liver disease (HE) (cirrhosis, non-alcoholic fatty liver disease, other), neurological disorder (ND), psychiatric disorder (PD) and rheumatologic disorder (RD). Kaplan-Meier method was used to estimate OS curves. Cox regression was used to determine the prognostic impact of each comorbidity in a univariate and multivariate model. 311 patients were eligible. Median age was 66 years (12-91), 148 men (47.6 %) and 163 women. Percentage of comorbidities was: HTA 45; OB 32.5; DM 20.4; HD 20.4; LD 15.2; PU 10; HL 9.7; ND 8; PM 7.8; PD 6.5; HBV 3.9; HE 3.9; TE 3.6; RD 3,5; AM 2.3; HCV 1.9; CD 1.6; S 1; RT 0.6; HIV 0.3. 63 patients (20.4 %) showed no comorbidities. Univariate analysis (table 1) demonstrated that AM (P=0.022), HCV (0.038), HIV (0.022), PD (0.015) and ND (0.05) were significantly associated with shorter OS. The variables associated with mortality in the multivariate analysis were age (p=0.002), ISS (III vs I: p=0.01), PC (p=0.05) and Cr (p=0.02). Results will be validated in another MM series and presented during the meeting. The overall prognosis of MM depends on a variety of host and disease-related characteristics. We confirm age, ISS, PC and Cr as robust and independent prognostic factors. Adjusting for these factors, no isolated comorbidity reach statistical significance; however, comorbidity seems to have a role in MM prognosis. More studies are warranted to define the prognostic impact of comorbidities in MM. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Efficacy of Upfront Daratumumab Combination Regimen in Patients with Newly Diagnosed Multiple Myeloma

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3158-3158 ◽  
Author(s):  
Kyaw Zin Thein ◽  
Thura Win Htut ◽  
Myint Aung Win ◽  
Sriman Swarup ◽  
Anita Sultan ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Conflicts Of Interest ◽  
Residual Disease ◽  
Progression Free Survival ◽  
Phase Iii ◽  
Novel Agents ◽  
Combination Regimen ◽  
Newly Diagnosed ◽  
Standard Risk

Introduction: Management of newly diagnosed multiple myeloma (NDMM), which accounts for 1% of all cancers, is an area in dire need of therapeutic innovation. In recent years, the introduction of novel agents is one of the major advances in the management of patients with NDMM, in both transplant- eligible and transplant- ineligible candidates. Studies have combined daratumumab, a human IgGκ monoclonal antibody that targets CD38 which is highly expressed on myeloma cells, with proteasome inhibitors and immunomodulatory agents-based regimens in the first-line treatment of NDMM. The purpose of our study is to explore and consolidate the efficacy of upfront daratumumab combination regimen in patients with NDMM. Methods: We systematically conducted a comprehensive literature search using MEDLINE, EMBASE databases and meeting abstracts from inception through June 2019. Phase III RCTs utilizing daratumumab in patients with newly diagnosed/ untreated multiple myeloma were incorporated in the analysis. A generic inverse variance method was used to calculate the estimated pooled hazard ratio (HR) for progression-free survival (PFS) with 95% confidence interval (CI). Mantel-Haenszel (MH) method was used to calculate the estimated pooled risk ratio (RR) for overall response rate (ORR), including stringent complete response (sCR), CR and very good partial response (VGPR). Heterogeneity was assessed with Cochran's Q -statistic. Random effects model was applied. Results: Three phase III RCTs with a total of 2,528 patients with NDMMwere included.Studies compared daratumumab (D) + bortezomib (V) + melphan (M) + prednisone (P) vs VMP, D + lenalidomide (R) + dexamethasone (d) vs Rd, and DVd + thalidomide (T) vs VTd. The randomization ratio was 1:1 in all studies. The I2statistic for heterogeneity was 0, suggesting homogeneity among RCT. The pooled HR for PFS was statistically significant at 0.52 (95% CI: 0.44-0.61; P < 0.0001). The PFS benefit was observed in all ISS categories, types of immunoglobulin (Ig) and standard risk cytogenetic; ISS I cohort (HR, 0.55; 95% CI: 0.37- 0.82; P = 0.003), ISS II cohort (HR, 0.43; 95% CI: 0.33- 0.55; P < 0.0001), ISS III cohort (HR, 0.63; 95% CI: 0.48- 0.82; P = 0.0006), IgG cohort (HR, 0.56; 95% CI: 0.40- 0.77; P = 0.0003), non-IgG cohort (HR, 0.52; 95% CI: 0.28- 0.97; P = 0.04), and standard risk cytogenetic cohort (HR, 0.43; 95% CI: 0.35- 0.53; P < 0.0001). The pooled HR for PFS in high risk cytogenetic cohort was not statistically significant at 0.76 (95% CI: 0.53- 1.10; P = 0.15). The pooled RR for ORR was 1.13 (95% CI: 1.01-1.26; P = 0.03), sCR was 2.02 (95% CI: 1.33-3.08; P = 0.001), CR was 1.46 (95% CI: 1.20-1.79; P = 0.0002),and VGPR was 1.01 (95% CI: 0.82-1.25; P = 0.93). The pooled RR for negative minimal residual disease (MRD) was 2.54 (95% CI: 1.24-5.20; P = 0.01). Conclusions: Upfront combination regimen with daratumumab significantly improved PFS, ORR, sCR and CR along with negative MRD, compared to control arm in patients with NDMM. The improvement in PFS was noted across all subgroups except in high-risk cytogenetic group. More randomized studies are required to explore further novel agents and to formulate optimal combination regimen to improve survival in this high-risk cytogenetic subset. Disclosures No relevant conflicts of interest to declare.

ID1 Expression Correlates with CEBPA Mutational Status and Is Not An Independent Risk Factor in Cytogenetically Normal AML,

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3554-3554
Author(s):  
Katharina Wagner ◽  
Frederik Damm ◽  
Michael A Morgan ◽  
Felicitas Thol ◽  
Haiyang Yun ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Prognostic Factor ◽  
Conflicts Of Interest ◽  
Univariate Analysis ◽  
High Expression ◽  
Prognostic Impact ◽  
Mutational Status ◽  
Negative Prognostic Factor ◽  
Cebpa Mutations

Abstract Abstract 3554 Background: Acute myeloid leukemia with normal karyotype (CN-AML) is a heterogenous disease. During the last years, mutations in several genes (e.g. NPM1, FLT3, CEBPA, WT1, IDH1, IDH2) have been identified which are involved in the pathogenesis of AML and affect the prognosis of these patients. Moreover, deregulated expression of genes such as MN1, BAALC, ERG and WT1 was demonstrated to be predictive of outcome in CN-AML. Recently, high expression of the ID1 gene was described as a negative prognostic factor in AML (Tang et al. Blood 2009, 114:2993–3000). Aims: We have shown that C/EBPα, a transcription factor encoded by the CEBPA gene, binds to a regulatory element in the promoter region of the ID1 gene and regulates ID1 expression in leukemic cells (Wagner et al. Proc Natl Acad Sci USA 2006, 103:6338–6343). Therefore, we wanted to analyze the prognostic impact of ID1 expression in CN-AML in the context of other molecular markers, in particular CEBPA mutations. Methods: ID1 expression was quantified normalized to ABL by real time RT-PCR in 269 patients (age 16–60 years) with CN-AML treated with intensive double induction and consolidation therapy within the AMLSG 295 and 0199 trials (NCT00209833). The patients were also analyzed for mutations in the genes NPM1, FLT3, CEBPA, WT1, IDH1 and IDH2. Median follow up was 79 months. Results: Expression of ID1 varied over a 3-log range. High expression of ID1 (ID1high, defined as > median expression level) was significantly associated with the presence of a FLT3 -ITD or an IDH2 mutation and WT1 wildtype. Moreover, ID1 expression was closely associated with CEBPA mutational status. Altogether, 41 patients (15%) harboured a CEBPA mutation (24 monoallelic and 17 biallelic mutations). ID1 expression in the CEBPA wildtype patients was significantly higher than in patients with monoallelic CEBPA mutations and these patients had a significantly higher ID1 expression compared to patients with biallelic CEBPA mutations (p = 0.001). ID1high patients had a trend to a lower complete remission (CR) rate (74% vs. 84%; p = 0.07), but in multivariate analysis only blast clearance on day 15 after induction 1, age and WT1 SNP rs16754 were independent predictors for the achievement of CR. In univariate analysis, ID1high patients had an inferior overall survival (OS) compared to patients with low expression (median OS 29 vs. 78 months, 5 year OS 39% vs. 53%, p = 0.026). ID1high status was an independent negative prognostic factor in multivariate analysis when analyzed together with NPM1, FLT3 -ITD, WT1, IDH1, IDH2, extramedullary disease and platelet counts (HR 1.51; 95% CI 1.06–2.19). However, when also CEBPA mutational status was entered into the model, ID1 expression lost its prognostic impact and the only independent prognostic factors were age, platelets, CEBPA mutations, NPM1 /FLT3 -ITD risk group and WT1 SNP rs16754. Likewise, ID1high patients had a trend to an inferior relapse-free survival (RFS; HR 1.36, 95% CI 0.96–1.93, p = 0.086) in univariate analysis. However, in multivariate analysis including CEBPA mutational status, ID1 expression had no impact on RFS and the only prognostic factors for RFS were NPM1 and CEBPA mutations and WT1 SNP rs16754. In CEBPA wildtype patients, ID1 expression had no impact on CR-rate, OS or RFS in univariate or multivariate analysis. Conclusions: CEBPA mutations seem to deregulate ID1 expression in CN-AML. Therefore, ID1 expression is not an independent prognostic factor in CN-AML. Disclosures: No relevant conflicts of interest to declare.

Second Autologous Stem Cell Transplant As Salvage Therapy For Multiple Myeloma

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 5529-5529
Author(s):  
Mohamed Elemary ◽  
Mohamed Emara ◽  
Ankur Sharma ◽  
Sabuj Sarker ◽  
Waleed Sabry ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Salvage Therapy ◽  
Conflicts Of Interest ◽  
Univariate Analysis ◽  
Standard Of Care ◽  
Autologous Stem Cell Transplant ◽  
Novel Agents ◽  
Cancer Center ◽  
Cell Transplant ◽  
Time To Relapse

Abstract Introduction Therapeutic options for patients with multiple myeloma whose disease has relapsed after a prior autologous SCT include novel agents, traditional chemotherapy or a second transplant, with no clear standard of care. Limited data are available regarding the value of salvage therapy with a second autologous SCT in patients who relapse after the first one, and the factors that determine the outcome of the second SCT. We retrospectively reviewed our experience at Saskatoon Cancer Center with salvage autologous SCT for relapsed multiple myeloma. Methods Thirty three patients had received a salvage auto-SCT at our institution between February 2000 to February 2012. Median age at second SCT was 60 years (range; 46-71), Median time to relapse after the first SCT was 32 months (range; 3-80). Median interval between the first and second transplant was 34 months (range; 4-85). Re-induction therapy prior to second transplant contained combination with novel therapies (Bortezomib , lenalidomide or Thalidomide) in Thirteen patients ( 40 %) and the rest received conventional combination chemotherapies. Median line of therapies before the second SCT was 1 (range 0-3) with 23 patients (70%) received less than 2 lines and 30% received more than 2 lines. Results Responses to second autologous SCT at day 100 showed CR in 21%, VGPR 30 %, PR 42% with ORR 93 %. Non relapse mortality at day 100 after second transplant was 3 % (no= 1) With a median follow up time of 24 months (range 1-99) from the salvage SCT, the median PFS was 27 months (range 1-89) and the median overall survival (OS) was 36 months ( range 1-99) Eleven patients had TTP inversion (PFS longer after the second transplant) with a median increase of 18 months , of note only two of them received novel agents for salvage, but 70 % required less than two lines prior to salvage SCT. In univariate analysis, patients who had received < 2 lines of therapy prior to salvage SCT (23/33) had significantly higher median TTP of 31 and OS of 52 months, compared to 19 and 33 months for patients who had received ≥2 lines of therapy (10/33). (P = 0.04) Patients who had relapsed more than 2 years post 1st SCT (18/33) had a significantly higher median TTP and OS of 27 and 39 months respectively compared to 22 and 24 months patients who had relapsed less or equal to 2 years (15/33) (P= 0.04) In multivariate analysis, only response to salvage SCT > PR had an impact on TTP and OS; however it was not statistically significant. Conclusion Second salvage auto-SCT generally is safe and effective in patients with relapsed multiple myeloma. Patients with ≥2 prior lines of therapy and a TTP after initial transplant of ≤24 months are unlikely to benefit significantly. Salvage auto-SCT should therefore be considered for appropriate patients with relapsed multiple myeloma. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Development and Analysis of a Weighed Prognostic Model in Newly Diagnosed Multiple Myeloma Patients

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 47-48
Author(s):  
Xue-Han Mao ◽  
Yan Xu ◽  
Yuting Yan ◽  
Jiahui Liu ◽  
Huishou Fan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multiple Myeloma ◽  
Multivariate Analysis ◽  
Prognostic Factors ◽  
High Risk ◽  
Prognostic Factor ◽  
Prognostic Model ◽  
Cytogenetic Abnormalities ◽  
Total Score Range ◽  
Prognosis Model

Background and Objective: Multiple myeloma (MM) is characterized with significant cytogenetic changes and complex tumor microenvironment, thus patient survival is extremely heterogeneous. Various disease-related or patient-related factors affect the prognosis of patients. This study tried to analyze the prognostic indicators of patients with newly-treated MM, especially explored the prognosis of multiple cytogenetic abnormalities and the ratio of lymphocytes to monocytes (LMR). Additionally, we established a comprehensive prognostic model to help determine the patient prognosis. Methods: After screening, 603 patients of untreated MM from January 2008 to June 2017, with complete baseline indicators were enrolled into the study. By univariate and multivariate Cox analysis, risk factors related to the prognosis of patients were evaluated, and a weighted prognosis model was established to compare the survival differences of patients in each risk stratification. Result: Optimal thresholds of ALC, LWR, NLR and LMR were determined by ROC curve and Youdex index: ALC = 1.415, LWR = 0.325, NLR = 1.935, LMR = 2.95. Survival analysis showed that patients with LMR ≤ 2.95, ALC ≥ 1.415 and LWR ≥ 0.325 had significantly better survival compared with their respective control groups. Cox multivariate analysis showed that among the four indicators, only LMR≤2.95 was an independent adverse prognostic factor for overall survival (OS)(Figure 1A). 17p deletion, 1q21 amplification, t (4; 14) / t (14; 16) were define as high-risk cytogenetic abnormalities (HRA). Of the 603 patients, about 60% were associated with at least one high-risk cytogenetic event. Among them, the occurrence of cumulative 0, 1, 2, and 3 HRA were 39.6% (239/603), 42.5% (256/603), 16.6% (100/603), and 1.3% (8/603), respectively. There was no significant difference in survival among patients with same number of HRAs. The median OS of patients with 0, 1 and ≥ 2 HRA were not reached, 62.1 months (95% CI, 49.3-74.9) and 30.4 months (95% CI, 24.5-36.3), respectively (p &lt;0.001)(Figure 1B).Final Cox regression model showed that age 65 ~ 74 (HR=1.77, 95%CI, 1.24-2.51, p=0.001), age ≥75 (HR=2.46, 95%CI, 1.69-3.58, p &lt; 0.001), LDH≥247 U/L (HR =1.65, 95%CI, 1.07-2.51, p=0.023), ISS stage III (HR=1.76, 95%CI, 1.24-2.50, p=0.002), LMR≤2.95 (HR=1.53, 95%CI, 1.08-2.18, p=0.017), 1 HRA (HR=1.87, 95%CI, 1.27-2.75, p=0.002) and ≥2 HRA (HR=3.48, 95%CI, 2.22-5.45, p&lt;0.001) are independent adverse prognostic factors for OS. Then weighted risk factors were summed to establish a comprehensive prognosis model, with a total score range of 0-6 points. Accordingly, the whole cohort was divided into low risk (0-1 points, 45.4%), intermediate risk (2 points, 27.9%), high risk (3 points, 19.2%) and ultra-high risk (4-6 points, 7.5 %) groups. The median OS of the four risk groups were 85.8 months (67.1-104.5), 49.0 months (44.7-53.3), 35.4 months (31.3-39.5), and 23.2 months (18.8-27.6), respectively (p&lt;0.001). The C-statistics of this prognostic model is 0.68 (95% CI, 0.64-0.71), which is significantly better than the D-S stage (C-statistics = 0.52, 95% CI, 0.50-0.55, p &lt;0.001), ISS (C-statistics = 0.60, 95% CI, 0.57-0.64, p &lt;0.001) and R-ISS stage (C-statistics = 0.60, 95% CI, 0.57-0.63, p &lt;0.001). Bootstrap resampling and calibration curve showed that the model has an accurate predictive effect on both short-term and long-term prognosis of patients(Figure 1C). Conclusion: In our analysis, ALC, LWR, LMR were associated with poor prognosis in NDMM patients, while NLR had no significant prognostic significance. Among the four indicators, LMR≤2.95 was the only independent prognostic factor. In NDMM patients, survival of patients with the same number of high-risk cytogenetic abnormalities were comparable with each other, regardless of whichever combination of HRA. Higher number of high-risk cytogenetic abnormalities were associated with worse prognosis. Cox multivariate analysis showed that, old age (65-74 years old, ≥75 years old), increased LDH (≥247 U/L), decreased LMR (≤2.95), ISS III, 1 HRA and ≥ 2 HRA were independent adverse prognostic factors that affect the OS of MM patients. 4. A comprehensive weighted prognostic model was established with the above factors, which was proved to effectively distinguish different prognosis of patients. Figure 1 Disclosures No relevant conflicts of interest to declare.

scholarly journals Overexpression of the OCT-1 Gene Is a Biomarker Associated with Poor Outcomes in Diffuse Large B-Cell Lymphoma (DLBCL) - Data from a Retrospective Cohort from Latin America: Defining a Very High-Risk Clinical-Molecular Subgroup

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 41-42
Author(s):  
Luis Alberto de Padua Covas Lage ◽  
Gisele Rodrigues Gouveia ◽  
Suzete Cleusa Ferreira ◽  
Sheila Aparecida Coelho de Siqueira ◽  
Abrahão Elias Hallack Neto ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Risk ◽  
B Cell ◽  
Univariate Analysis ◽  
Progression Free Survival ◽  
B Cell Lymphoma ◽  
Prognostic Impact ◽  
Molecular Subgroup ◽  
Free Survival ◽  
Very High

Introduction: Diffuse large B-cell lymphoma (DLBCL) is the most frequent lymphoid malignancy, representing 30-40% of all non-Hodgkin's lymphomas (NHLs). They comprise a group of aggressive and heterogeneous neoplasms in terms of clinical presentation, response to therapy and prognosis. The OCT-1 gene is a member of the homodomain-POU family of transcriptional regulators of B-lymphoid differentiation. OCT-1 acts by controlling the expression of specific B-cell genes, such as BCL-2, a potent inhibitor of apoptosis that is essential for the differentiation of B-cells in the germinal center. These genes can be expressed in DLBCL, but the role of BCL-2 in its prognosis has been contradictory and the prognostic impact of the OCT-1 gene has not yet been tested in this lymphoma. Methods: In this observational, retrospective, single-center study, we investigated the prognostic impact of BCL-2 and OCT-1 gene expression in Brazilian patients with DLCBL treated with immunopolychemotherapy R-CHOP in a real-world context. The BCL-2 and OCT-1 genes were assessed in 78.5% (77/98) DLBCL patients, and the RNA for quantitative real-time PCR (qRT-PCR) was isolated from formalin-fixed and paraffin-embedded (FFPE) samples. The values obtained for gene expression were transformed into categorical variables according to their medians (6.27 for BCL-2 and 24.5 for OCT-1). The association between clinical and laboratory variables and results of gene expression was verified by the Fischer test. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. Univariate analysis was performed using Cox's bivariate regression method and multivariate analysis using Cox multiple regression methodology. Results: The median age of the cohort was 54.5 years (15-84), 50% (49/98) were male, 49.4% (38/77) and 51.4% (40/77) showed expression of OCT-1 and BCL- 2 ≥ median, respectively. The clinical characteristics of the 98 Brazilian patients with DLBCL that comprised our cohort are summarized in Table 1. The overall response rate (ORR) in all patients was 68.4% (67/98), 65.3% (64/98) showed a complete response (CR), and 3.1% (3/98) showed partial response (PR), while 6.1% (6/98) were primary refractory. With a median follow-up of 3.77 years (95% CI: 3.2-4.1), the median overall survival (OS) was 5.43 years (95% CI: 2.2-NR) and the median progression-free survival (PFS) was 5.15 years (95% CI: 2.9-NR). The 5-year OS and PFS was 54.2% (42.2% -64.8%) and 52.0% (40.1-62.6%), respectively. In the univariate analysis OCT-1 ≥ median was associated with shortened OS (HR: 2.45, 95% CI: 1.21-4.96, p = 0.013) and PFS (HR: 2.27, 95% CI: 1.14-4.51, p = 0.019). Overexpression of BCL-2 was associated with worse PFS (HR: 2.00, 95% CI: 1.02-3.95, p = 0.043). Subgroup analysis showed that OCT-1 overexpression predominated in elderly individuals (≥ 60 years) in a statistically significant mode (29/38 cases - 76.3%, p = 0.029). It was also observed that overexpression of OCT-1 was associated with worse OS in the high-risk adjusted International Prognostic Index (aIPI) subgroup (p = 0.048) - Figure 1, and worse PFS in patients ≥ 60 years old (p = 0.025) - Figure 2. In the multivariate analysis, overexpression of OCT-1 was associated with poor PFS (HR: 2.22, 95% CI: 1.06-4.76, p = 0.035). Conclusion: In this study, we demonstrated that overexpression of the OCT-1 gene was an independent prognostic factor associated with adverse outcomes in Brazilian patients with DLCBL. We also show that in patients with unfavorable risk, such as the elderly and those with intermediate-high and high-risk IPI, overexpression of OCT-1 contributed to the identification of a very high-risk clinical-molecular subgroup, where the results with standard R-CHOP therapy are unsatisfactory, and they may benefit from intensified therapeutic strategies. Our results are preliminary and need to be validated in subsequent studies of prospective nature and with an expanded sample. Disclosures No relevant conflicts of interest to declare.

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