Front-Line Treatment of Acute Promyelocytic Leukemia with AIDA Induction Followed by Risk-Adapted Consolidation: Results of the AIDA-2000 Trial of the Italian GIMEMA Group.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 392-392 ◽  
Author(s):  
Francesco Lo Coco ◽  
Giuseppe Avvisati ◽  
Marco Vignetti ◽  
Giuseppe Fioritoni ◽  
Vincenzo Liso ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Groups ◽  
High Risk Group ◽  
Intermediate Risk ◽  
Newly Diagnosed ◽  
Front Line ◽  
High Risk Disease ◽  
Significant Difference ◽  
Outcome Improvement

Abstract Following the identification, in collaboration with the Spanish PETHEMA group, of distinct prognostic categories among APL patients receiving AIDA-like therapies (Sanz et al. Blood 2000) the Italian GIMEMA group designed a protocol for newly diagnosed APL (AIDA-2000) in which the intensity of post-remission treatment was adapted to the relapse risk. A total of 298 PML/RARa-positive patients with median age 40 yrs (range 1–60) were enrolled during the period January 2000 – February 2003 from 64 Italian institutions. After the standard AIDA-0493 induction (Mandelli et al, Blood 1997), patients with low- and intermediate-risk received 3 anthracycline-based consolidation courses with idarubicin, mitoxantrone, and idarubicin as in the PETHEMA LPA-96 (Sanz et al. Blood 1999), whereas patients with high-risk disease (WBC > 10 x 109/L) received the same 3 anthracycline courses with the addition of cytarabine, etoposide and cytarabine plus 6-thioguanine during the first, second and third course, respectively, as in the original AIDA. In addition, distinct from those in the AIDA-0493, all patients enrolled in the AIDA-2000 received concomitant ATRA 45 mg/m2 for 15 d during each consolidation course. The results of the AIDA-2000 series were compared to those obtained in 346 consecutive patients (median age 36 yrs, range 1–60) enrolled in the AIDA-0493 study during the period May 1997 – May 2000. All patients in either studies who tested PCR-negative post-consolidation received ATRA maintenance for a total of two years. After induction, 323/338 (96%) and 276/294 (94%) evaluable patients achieved CR in the AIDA-0493 and AIDA-2000, respectively (P=0.34). Molecular remission was obtained after consolidation in 291/296 (98%) and 235/238 (99%) patients (P=0.69). With a median follow-up of 4.5 and 2.0 yrs in the two studies, the DFS at 2.0 yrs for patients in the AIDA-0493 and AIDA-2000 was 84% and 90%, respectively (P=0.09), whereas the CIR rate at 2.0 yrs was 14% and 5%, respectively (P=0.04). Five and 9 patients died in CR in the two series and were equally distributed among risk groups. By comparing separately the distinct risk groups in the AIDA-0493 and AIDA-2000, there was no significant difference in the CIR rate for low- (3% vs. 2%) and intermediate-risk (11% vs. 9%) groups, while a significantly higher CIR was observed in the AIDA-0493 for high-risk (29% vs. 2%, P=0.0004). In line with recent PETHEMA results, our data confirm that anthracycline-based consolidation is equally effective as cytarabine-containing regimens for patients with low- and intermediate-risk and suggest that a risk-adapted strategy including ATRA for consolidation provides an outcome improvement in newly diagnosed APL. In addition, our results suggest a benefit in terms of relapse rate reduction using cytarabine coupled to anthracyclines and ATRA during consolidation in the high-risk group.

Induction Therapy with “3+7” Chemotherapy Plus ATRA Followed by Consolidations with Three Courses of Idarubicin Alone and Maintenance Therapy with ATRA in Newly Diagnosed Acute Promyelocytic Leukemia (APL) Has An Excellent Leukemia-Free Survival but Minimal Toxicity in Low and Intermediate Risk Groups.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2072-2072
Author(s):  
Moon-Young Choi ◽  
Yeung-Chul Mun ◽  
Se Hoon Park ◽  
Eun Kyung Cho ◽  
Jae Hoon Lee ◽  
...  
Keyword(s):  
High Risk ◽  
Maintenance Therapy ◽  
Relapse Rate ◽  
Induction Therapy ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Intermediate Risk ◽  
Newly Diagnosed

Abstract Abstract 2072 Poster Board II-49 Backgrounds Currently, there are many efforts to design risk-adapted strategies in newly diagnosed acute promyelocytic leukemia (APL) by modulating treatment intensity and those seem to be an efficient approach to minimize treatment-related morbidity and mortality (TRM) while maintain the potential in cure for each relapse-risk group. We had postulated that maintaining of Ara-C during induction therapy might have acceptable toxicities yet obtaining good CR in newly diagnosed APL, and idarubicin alone during consolidation periods might have excellent LFS and OS with low relapse rate. Patients and Methods Eighty six patients with newly diagnosed APL were enrolled in the “multicenter AML-2000 trial” after informed consents were obtained during the period of January 2000 to July 2007. For remission induction therapy, patients received oral ATRA (45mg/m2/d, maintained until CR) combined with idarubicin (12mg/m2/d, D1-D3) plus Ara-C (100mg/m2/d, D1-D7). After CR achievement, patients received 3 monthly consolidation courses consisting of idarubicin (12mg/m2/d, D1-D3) alone and maintenance therapy with ATRA (45mg/m2/d, D1-D15, every 2 month) alone had continued for 2 years. Total patients were divided into low-risk, intermediate-risk and high-risk groups according to a predictive model for relapse risk (Sanz score) based on pretreatment WBC and platelet count and the treatment outcomes were compared in the different risk groups. Results The median age of our cohort was 40 years old (range; 6-80) and median follow-up was 27 months (range; 1-90). The distribution of patients in the 3 risk groups was as follows ; 28 (32.6%) patients in low-risk, 40 (46.5%) in intermediate-risk and 18 (20.9%) in high-risk. Overall, CR was achieved in 78 (90.7%) of 86 patients. The CR rate according risk groups was 96.4% in low-risk, 87.5% in intermediate-risk, and 88.9% in high-risk group and there was no significant statistical difference among the different risk groups. During induction therapy, 48 (55.8%) patients experienced grade 3-4 treatment-related toxicity (TRT), mostly fever and infection (38.8% of all patients) and 6 (7.0%) patients died of treatment-related complications. During 3 consolidation courses, 25 (29.1%) of 78 patients experienced grade 3-4 TRT in 1st course, 27 (36.0%) of 75 patients in 2nd course, and 14 (28.0%) of 50 patients in 3rd course. Overall, 3 (3.5%) patients died of treatment-related complications in CR. The incidence of TRT and treatment-related mortality (TRM) during induction or consolidation therapy showed no significant statistical difference among the different risk groups. The relapse occurred in 6 (7.0%) patients; 2 cases in intermediate-risk and 4 cases in high-risk. However, none had relapsed in low risk group, 5 patients of relapsed patients relapsed during consolidation courses and only one patient, however, relapsed during maintenance therapy. The overall survival (OS) and leukemia-free survival (LFS) rate at 7 years in all of patients was 76.7% and 83.5%, respectively. The OS rate at 7 years was 92.9% in low-risk, 78.6% in intermediate-risk and 53.6% in high-risk group (P:0.04) and the LFS rate at 7 years was 96.4%, 83.4% and 62.2% respectively, showing the significant difference between 3 different risk groups (P:0.046). Conclusions This study indicates that our protocol composed of induction therapy with “3+7” chemotherapy plus ATRA followed by consolidations with three courses of idarubicin alone and maintenance therapy with ATRA alone yields a high CR rate and low relapse rate but minimal acceptable toxicities. Despite of adding Ara-C during induction therapy, we did not find much significant toxicities but having good CR rates, and despite of not adding any additional low/intermediate dose chemotherapies(ie, 6MP), we were able to observe significantly high relapse rate in low and intermediate risk group with excellent LFS and OS. Meanwhile, in high-risk group, the relapse rate was significantly higher than other risk groups and most of the relapses occurred in the middle of consolidation courses. This data suggests that our consolidation therapy composed of anthracycline alone may be not enough to minimize risk of relapse in high-risk group in contrast with the low and intermediate-risk groups. More intensive consolidation therapy combined with other effective, but get tolerable chemotherapies or hematopoietic stem cell transplantation in first CR or the combination of arsenic trioxide or others in front-line therapy should be considered in the patients with high-risk of relapse. Disclosures: No relevant conflicts of interest to declare.

Revalidation of the Flipi Score in the Era of Immunotherapy.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 4437-4437
Author(s):  
German Stemmelin ◽  
Carlos Doti ◽  
Claudia Shanley ◽  
Jose Ceresetto ◽  
Oscar Rabinovich ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Univariate Analysis ◽  
Risk Groups ◽  
Marrow Transplant ◽  
Intermediate Risk ◽  
Significant Difference ◽  
The Difference ◽  
The One ◽  
The Impact

Abstract The FLIPI prognosis score for follicular lymphoma (FL) was developed based on cases diagnosed between 1985 and 1992, and treated with different schemes that did not include rituximab (R). In the present study, we report the evolution of all FL treated in a single institution through the last decade and analize whether FLIPI mantains its effectiveness to identify different risk groups within patients treated with the new therapeutic alternatives available. Material and Methods: We identified sixty two patients with diagnosis of grade I-II-IIIa FL. Patients characteristics: median age 57.5 yr (r, 30–80); 36 males; 63% stages III–IV, and 37% with bone marrow infiltration at the time of diagnosis. Thirty eight percent had a low risk by FLIPI, 34% had an intermediate risk and 27.4% had a high risk. In 19 pts (30.6%) the initial decision was “watch and wait” but 82% received a form of treatment at some point. R was used in 36 pts (58%) with some of the following regimes: chemotherapy (chemo) + R and/or R as consolidation therapy and/or R as monotherapy and/or R as maintenance therapy. Of all prescribed treatments (excluding R as monotherapy and/or maintenance treatment), 52.8% were chemo alone, 20.2% chemo + R, 21.3% radiotherapy and 5.6% received a bone marrow transplant. Results: we considered the analysis of overall survival (OS) the most appropiate approach, since most treatments were seeking the control of the FL, and not the complete remission or cure. The follow up median time was 53.2 months ± 34.8 1SD. The 5-yr OS for the 62 pts was 81.8% ± 11.3 CI 95%. The 5-yr OS for those with a low, intermediate and high risk FLIPI was 100% −5, 84.2% ± 21 and 52% ±26.2, respectively. The difference in 5-yr OS was statistically significant between low and high risk, intermediate and high risk, but failed to prove a significant difference between low and intermediate risk. Among the different risk factors tested in a univariate analysis only age ≥ < 60 yr old demonstrated a significant difference, 60.7% vs 90%, respectively. Conclusions: The 5-yr OS in our series is higher than the one described in the original FLIPI study (Blood2004; 104:1258–65) which was 81.8% vs 71% for the whole group; 90% vs 78.1% for pts <60 yr old; 60.7% vs 57.7% for ≥ 60 yr old; 100% vs 90.6% for low FLIPI and 84.2% vs 77.6% for intermediate FLIPI. The only group that failed to prove an improvement was the high risk FLIPI with 52% vs 52.5%. The impact of novel therapies was more evident in patients with a low or intermediate FLIPI and was even more evident in patients younger than 60 yr old. According to our results, FLIPI maintains its effectiveness in differentiating two risk groups, i.e., low-intermediate vs high. We believe that the OS curves will probably continue to improve as the treatments that are considered today as the most effective ones, were just included in our series in the last three years.

Survival in Patients with Newly Diagnosed Myeloma Undergoing Therapy with Lenalidomide and Dexamethasone: Impact of High-Risk Cytogenetic Risk Status on Outcome

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 95-95 ◽  
Author(s):  
Prashant Kapoor ◽  
Shaji Kumar ◽  
Rafael Fonseca ◽  
Martha Q. Lacy ◽  
Thomas E Witzig ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Stratification ◽  
Plasma Cell ◽  
Risk Groups ◽  
Newly Diagnosed ◽  
High Risk Patients ◽  
Risk Patients ◽  
The Impact ◽  
Standard Risk

Abstract Background: Multiple myeloma (MM) is a heterogeneous disease with very divergent outcomes that are dictated in a large part by specific cytogenetic abnormalities, as well as other prognostic factors such as the proliferative rate of marrow plasma cells. Prognostic systems incorporating these factors have shown clinical utility in identifying high-risk patients, and are increasingly being utilized for treatment decision-making. However, the prognostic relevance of these factors may change with the application of novel therapies. The objective of this study was to determine the impact of risk-stratification (incorporating plasma cell metaphase cytogenetics, interphase fluorescent in-situ hybridization (FISH) and the slide-based plasma cell labeling index (PCLI)) in a cohort of patients with newly diagnosed MM treated initially with lenalidomide + dexamethasone (Rev-Dex). Methods: From March 2004 to November 2007, 100 consecutive patients treated with Rev (25mg/day) on days 1 through 21 of a 4-week cycle in combination with dexamethasone as initial therapy for newly diagnosed myeloma, were identified. High-risk MM was defined as presence of any one or more of the following: hypodiploidy, monoallelic loss of chromosome 13 or its long arm (by metaphase cytogenetics only), deletion of p53 (locus 17p13) or PCLI ≥ 3% or immunoglobulin heavy chain (IgH) translocations, t(4;14) (p16.3;q32) or t(14;16)(q32;q23) on FISH. PFS and OS survival estimates were created using the Kaplan Meier method, and compared by log-rank tests. Results: The median estimated follow-up of the entire cohort (N=100) was 36 months. The median PFS was 31 months; the median OS has not been reached. The 2- and 3-year OS estimates were 93% and 83%, respectively. 16% patients were deemed high-risk by at least one of the 3 tests (cytogenetics, FISH or PCLI). Response rates (PR or better) were 81% versus 89% in the high-risk and standard risk groups, respectively, P=NS; corresponding values for CR plus VGPR rates were 38% and 45% respectively. The median PFS was 18.5 months in high-risk patients compared to 37 months in the standard-risk patients (n=84), P<0.001(Figure). Corresponding values for TTP were 18.5 months and 36.5 months, respectively, P=<0.001. OS was not statistically significant between the two groups; 92% 2-year OS was noted in both the groups. Overall, 95 patients had at least one of the 3 tests to determine risk, while 55 patients could be adequately stratified based on the availability of all the 3 tests, or at least one test result that led to their inclusion in the high-risk category. The significant difference in PFS persisted even when the analysis was restricted to the 55 patients classified using this stringent criterion; 18.5 months vs. 36.5 months in the high-risk and standard- risk groups respectively; P<0.001. In a separate analysis, patients who underwent SCT before the disease progression were censored on the date of SCT to negate its effect, and PFS was still inferior in the high-risk group (p=0.002). Conclusion: The TTP and PFS of high-risk MM patients are inferior to that of the standard-risk patients treated with Rev-Dex, indicating that the current genetic and proliferation-based risk-stratification model remains prognostic with novel therapy. However, the TTP, PFS, and OS obtained in high-risk patients treated with Rev-Dex in this study is comparable to overall results in all myeloma patients reported in recent phase III trials. In addition, no significant impact of high-risk features on OS is apparent so far. Longer follow-up is needed to determine the impact of risk stratification on the OS of patients treated with Rev-Dex. Figure Figure

Single Agent Arsenic Trioxide in the Treatment of Newly Diagnosed Acute Promyelocytic Leukemia: Long Term Follow-up Data.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 846-846
Author(s):  
Vikram Mathews ◽  
Biju George ◽  
Kavitha M Lakshmi ◽  
Auro Viswabandya ◽  
Ezhilarasi Chendamarai ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Single Agent ◽  
High Risk Group ◽  
Reproductive Age ◽  
Newly Diagnosed ◽  
Long Term Follow Up ◽  
Good Risk

Abstract Abstract 846 We had previously reported a well tolerated regimen using single agent arsenic trioxide (ATO) (Blood 2006:107; 2627) leading to durable remissions in patients with newly diagnosed acute promyelocytic leukemia (APL). Briefly, the regimen consisted of ATO (10mg/day for adults and 0.15mg/kg/day for pediatric patients) for up to 60 days in induction; this was followed by a 28 day consolidation after a 4 week break. Four weeks after completion of consolidation, patients received ATO for 10 days/month for 6 months. A concern with the previous report was the relatively short duration of follow up. Here we report the long term follow-up data of the same cohort. As previously reported, 72 newly diagnosed cases of APL were enrolled. 62 patients (86.1%) achieved hematological remission. The remaining died prior to achieving remission. There were no primary induction failures. Twenty two (30.6%) of these patients were considered good risk group (WBC count at diagnosis <5×109/L and a platelet count >20×109/L), the rest were considered high risk. Since publication of the last report an additional 7 patients have relapsed to give a total of 13 relapses, 2 were in the good risk group and the remaining 11 in the high risk group. The relapses in the good risk group were salvaged with an autologous SCT and have durable continued second remissions. The median time to relapse was 1.5 years. Five (38.52%) of these relapses occurred beyond 2 years and included both relapses in the good risk group. At a median follow-up of 58 months the 5-year Kaplan-Meier overall survival (OS), event free survival (EFS) and disease free survival (DFS) of the entire cohort was 74.22±5.26%, 68.93±5.52% and 80.00±5.17% respectively. The 5-year OS and EFS of the good risk and high risk group was 100±00% vs. 63.30±6.9% and 90.00±6.71% vs. 59.66±6.99% respectively. Beyond induction, all deaths followed relapse of disease. There were no second malignancies reported. Besides the previously reported toxicities, which were mild and transient in most cases, there were no new toxicities that were reported on continued follow up of these cases. Since completion of therapy, in spite of counseling and advising against pregnancy, 3 males and 4 females in the reproductive age group have had 8 normal children. No abortions, still births or fetal defects were reported among patients in the reproductive age group in this cohort. Hair and nail samples from 5 cases that had completed maintenance therapy more than 24 months earlier have been collected for analysis, the results of which are awaited. At our center the cost of administering this regimen is a quarter of that of a conventional ATRA plus anthracycline based regimen. Additionally, after the initial induction therapy the rest of the treatment did not require hospital admission nor did it result in any Grade III/IV hematological toxicity. Single agent ATO based regimen as reported previously is well tolerated, results in durable remissions and does not have any significant late side effects. In the good risk group it is associated with excellent clinical outcomes while in the high risk group additional interventions are probably required to reduce the risk of late relapses. In a resource constrained environment it is probably the best option. Disclosures: No relevant conflicts of interest to declare.

Comparison Of Sequential Vs Alternating Administration Of Bortezomib, Melphalan and Prednisone (VMP) and Lenalidomide Plus Dexamethasone (Rd) In Elderly Patients With Newly Diagnosed Multiple Myeloma (MM) Patients: GEM2010MAS65 Trial

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 403-403 ◽  
Author(s):  
Maria-Victoria Mateos ◽  
Joaquín Martínez-López ◽  
Miguel T. Hernandez ◽  
Rafael Martinez ◽  
Laura Rosiñol ◽  
...  
Keyword(s):  
High Risk ◽  
Elderly Patients ◽  
Research Funding ◽  
Risk Groups ◽  
Hematologic Toxicity ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Sequential Scheme ◽  
To Receive

Abstract Background VMP and Rd are two of the most efficient and widely accepted regimens in the treatment of elderly newly diagnosed MM patients. In order to further improve the outcome of elderly patients, one possibility would be to use regimens including all these drugs simultaneously, but this may result into high toxicity. Alternatively, the use of these regimens (VMP and Rd) in a sequential or alternating scheme could improve the treatment of elderly patients. We hypothesized the alternating scheme would minimize the emergence of resistant clones, and would reduce the cumulative toxicity. In order to test this hypothesis we decided to compare VMP and RD in a sequential vs an alternating scheme. Patients and methods 241 patients were randomized to receive a sequential scheme consisting on 9 cycles of VMP followed by 9 cycles of Rd or the same regimens in an alternating approach (one cycle of VMP alternating with one Rd (half of the patients started by VMP and half by Rd) up to 18 cycles). VMP included the iv administration of bortezomib 1.3 mg/m2 twice weekly for 1 six-weeks cycle, followed by once weekly for 8 four-weeks cycles in combination with oral melphalan 9 mg/m2 and prednisone 60 mg/m2 once daily on days 1–4 of each cycle. Rd treatment consisted on lenalidomide 25 mg daily on days 1-21 plus dexamethasone 40 mg weekly. Results 121 patients were allocated to receive the sequential scheme and 120 the alternating regimen. Both arms were well balanced according to the baseline characteristics. 52% patients in the sequential arm and 55% in the alternating and had high risk cytogenetic abnormalities (t(4;14), t(14;16), del17p or 1q gains). After 9 cycles of treatment, in the sequential arm, 35 out of 66 (54%) achieved at least VGPR vs 51 out of 65 patients (78%) in the alternating arm (p=0.002), including sCR/CR rate of 28% vs 38% in the sequential and alternating arms, respectively (p=NS). Seven patients in each arm achieved immunophenotypic CR. Moreover, while four patients progressed in the sequential arm under treatment with VMP, no patients in the alternating scheme developed disease progression during the first 9 cycles, After a median follow up of 12 months, there was a trend for shorter TTP in the sequential as compared with the alternating scheme (18 m-TTP of 83% vs 89% (p=NS)). In terms of OS, 83% of patients in the sequential arm were alive at 18 m versus 93% in the alternating (p=NS). Patients who achieved sCR/CR had a significantly longer 18 m-TTP as compared with patients who didn’t achieve it in both sequential (100% vs 71%; p=0.006) and alternating arms (100% vs 79%; p=0.006) and this translated into a significant benefit in OS. No differences were observed in overall response rates and CR rates in standard and high risk patients. The 18 m-TTP was similar in standard and high risk groups in both sequential (86% vs 81%) and alternating arms (84% vs 94%), noting that 94% of patients receiving the alternating scheme were progression-free at 18 months. Regarding hematologic toxicity, the frequency of G3-4 neutropenia was slightly lower in the sequential than in the alternating arm (16% and 23%) and the same trend was observed for G3-4 thrombocytopenia (16% vs 20%). Concerning non-hematologic toxicity, 5% and 4% of the patients in the sequential and alternating arms developed G3-4 infections, respectively; the rate of G3-4 skin rash was 4% in the sequential and 3% in the alternating arm; 4% of patients in the sequential arm developed G3-4 peripheral neuropathy and 3% in the sequential arm. The rate of grade 3-4 thrombotic events was 2% in both arms. Nevertheless, the detailed evaluation of the toxicity will be done at the completion of the trial when all patients will have received the same amount of drugs in either a sequential or an alternating scheme (at the present time, 42 patients in the sequential arm were not yet at risk for the development of lenalidomide-related side effects). Conclusions The administration of melphalan, bortezomib, lenalidomide and steroids in elderly MM patients in a sequential or alternating scheme is feasible. Although longer follow-up is necessary, the alternating scheme may be superior in terms of response rate and outcome, as result of the early exposure of the plasma cell to different agents. Toxicity profile is acceptable. Aparently both schemes of therapy seems to overcome the poor prognosis of high risk cytogenetic. Disclosures: Mateos: Janssen, Celgene: Honoraria. Off Label Use: Lenalidomide plus dexamethasone is not approved for newly diagnosed MM patients. Ocio:Onyx: Consultancy, Research Funding; Novartis: Consultancy; Array Biopharma: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy; Celgene: Consultancy, Research Funding. San Miguel:Janssen, Celgene: Membership on an entity’s Board of Directors or advisory committees.

Application of a Validated Predictive Model for Venous Thromboembolism in Cancer to Patients with Multiple Myeloma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 534-534
Author(s):  
Natasha Catherine Edwin ◽  
Jesse Keller ◽  
Suhong Luo ◽  
Kenneth R Carson ◽  
Brian F. Gage ◽  
...  
Keyword(s):  
High Risk ◽  
Research Funding ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Intermediate Risk ◽  
Discriminative Ability ◽  
Blood Institute ◽  
C Statistic

Abstract Background Patients with multiple myeloma (MM) have a 9-fold increased risk of developing venous thromboembolism (VTE). Current guidelines recommend pharmacologic thromboprophylaxis in patients with MM receiving an immunomodulatory agent in the presence of additional VTE risk factors (NCCN 2015, ASCO 2014, ACCP 2012). However, putative risk factors vary across guidelines and no validated VTE risk tool exists for MM. Khorana et al. developed a VTE risk score in patients with solid organ malignancies and lymphoma (Blood, 2008). We sought to apply the Khorana et al. score in a population with MM. Methods We identified patients diagnosed with MM within the Veterans Health Administration (VHA) between September 1, 1999 and December 31, 2009 using the International Classification of Diseases (ICD)-03 code 9732/3. We followed the cohort through October 2014. To eliminate patients with monoclonal gammopathy of undetermined significance and smoldering myeloma, we excluded patients who did not receive MM-directed therapy within 6 months of diagnosis. We also excluded patients who did not have data for hemoglobin (HGB), platelet (PLT) count, white blood count (WBC), height and weight, as these are all variables included in the Khorana et al. risk model. Height and weight were assessed within one month of diagnosis and used to calculate body mass index (BMI). We measured HGB, PLT count, and WBC count prior to treatment initiation: within two months of MM diagnosis. A previously validated algorithm, using a combination of ICD-9 code for VTE plus pharmacologic treatment for VTE or IVC filter placement, identified patients with incident VTE after MM diagnosis (Thromb Res, 2015). The study was approved by the Saint Louis VHA Medical Center and Washington University School of Medicine institutional review boards. We calculated VTE risk using the Khorana et al. score: We assigned 1 point each for: PLT ≥ 350,000/μl, HGB < 10 g/dl, WBC > 11,000/μl, and BMI ≥ 35 kg/m2. Patients with 0 points were at low-risk, 1-2 points were considered intermediate-risk and ≥3 points were termed high-risk for VTE. We assessed the relationship between risk-group and development of VTE using logistic regression at 3- and 6-months. We tested model discrimination using the area under the receiver operating characteristic curve (concordance statistic, c) with a c-statistic range of 0.5 (no discriminative ability) to 1.0 (perfect discriminative ability). Results We identified 1,520 patients with MM: 16 were high-risk, 802 intermediate-risk, and 702 low-risk for VTE using the scoring system in the Khorana et al. score. At 3-months of follow-up, a total of 76 patients developed VTE: 27 in the low-risk group, 48 in the intermediate-risk group, and 1 in the high-risk group. At 6-months of follow-up there were 103 incident VTEs: 41 in the low-risk group, 61 in the intermediate-risk group, and 1 in the high-risk group. There was no significant difference between risk of VTE in the high- or intermediate-risk groups versus the low-risk group (Table 1). The c-statistic was 0.56 at 3-months and 0.53 at 6-months (Figure 1). Conclusion Previously, the Khorana score was developed and validated to predict VTE in patients with solid tumors. It was not a strong predictor of VTE risk in MM. There is a need for development of a risk prediction model in patients with MM. Figure 1. Figure 1. Disclosures Carson: American Cancer Society: Research Funding. Gage:National Heart, Lung and Blood Institute: Research Funding. Kuderer:Janssen Scientific Affairs, LLC: Consultancy, Honoraria. Sanfilippo:National Heart, Lung and Blood Institute: Research Funding.

A biopsy-based genomic classifier to predict biochemical failure after definitive radiation without hormone therapy in a prospective cohort of intermediate risk prostate cancer.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 68-68
Author(s):  
Melvin Chua ◽  
Jure Murgic ◽  
Ali Hosni ◽  
Adriana Salcedo ◽  
Suzanne Kamel-Reid ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Rna Extraction ◽  
Multivariable Analysis ◽  
High Risk Group ◽  
Intermediate Risk ◽  
Image Guided Radiotherapy ◽  
Significant Difference ◽  
Risk Prostate Cancer ◽  
Tumor Involvement

68 Background: Recently, NCCN adopted the Zumsteg-Spratt subclassification to define NCCN favorable and unfavorable intermediate-risk prostate cancer (IR-PCa). NCCN unfavorable disease is recommended to receive combination androgen deprivation therapy (ADT) and radiotherapy. To determine if genomics could help identify a subset who may safely avoid ADT, we evaluated the Decipher genomic classifier (GC) in IR-PCa treated with dose-escalated image-guided radiotherapy (DE-IGRT) alone. Methods: Our cohort comprised of 121 patients with NCCN favorable (N = 49, 40%) and unfavorable (N = 74, 60%) IR-PCa, who received 78 Gy without ADT. Diagnostic needle biopsies with the highest Gleason score (GS) and %tumor involvement were macrodissected for RNA extraction. GC scores were determined from the Decipher prostate cancer classifier assay (GenomeDx Biosciences, San Diego, CA). Primary clinical endpoint was biochemical relapse ([BCR], PSA nadir + 2ng/ml) post-DE-IGRT. We compared association with BCR against known clinicopathologic prognostic indices and the NCCN risk strata. Results: With a median follow up of 7.5y, 24 (19%) patients experienced BCR. Individual clinical indices did not predict BCR-free survival rate (BFS). NCCN risk strata was however associated with a small but significant difference in BFS (5-y 93%, favorable vs 88%, unfavourable, P = 0.046). GC scores stratified 85 (70%), 19 (16%), and 17 (14%) men into low, intermediate, and high risk of recurrence; 5-y BFS were 95%, 89%, and 59%, respectively (P < 0.001). On multivariable analysis, a hazard ratio of 4.71 (95% CI 1.81-12.28, P = 0.0015) for BCR was observed for the GC high risk group compared to low/intermediate; NCCN risk strata and intraductal variant did not achieve significance. Conclusions: In IR-PCa men treated with DE-IGRT monotherapy, Decipher GC was an independent predictor of BCR. While most men in this our cohort were stratified as NCCN unfavorable IR-PCa, the majority were GC low risk with excellent outcomes from DE-IGRT alone. In contrast, a minority with GC high risk had suboptimal outcomes, and may benefit from ADT intensification.

scholarly journals Validation of Clinical Prognostic Models and Integration of Genetic Biomarkers of Drug Resistance in CLL Patients Treated with Ibrutinib

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 186-186 ◽  
Author(s):  
Inhye E. Ahn ◽  
Xin Tian ◽  
Maher Albitar ◽  
Sarah E. M. Herman ◽  
Erika M. Cook ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Prognostic Models ◽  
Discovery Cohort ◽  
Treatment Naïve ◽  
Equity Ownership

Abstract Introduction: We previously reported a prognostic scoring system in CLL using pre-treatment factors in patients treated with ibrutinib [Ahn et al, 2016 ASH Annual Meeting]. Here we present long-term follow-up results and validation of the prognostic models in a large independent cohort of patients. We also determine the incidence of resistance-conferring mutations in BTK and PLCG2 genes in different clinical risk groups. Methods and Patients: The discovery cohort comprised 84 CLL patients on a phase II study with either TP53 aberration (deletion 17p or TP53 mutation) or age ≥65 years (NCT01500733). The validation cohort comprised 607 patients pooled from four phase II and III studies for ibrutinib in treatment-naïve or relapsed/refractory CLL (NCT01105247; NCT01578707; NCT01722487; NCT01744691). All patients received single-agent ibrutinib 420mg once daily. We used Cox regression models to identify independent predictors of PFS, Kaplan-Meier method to estimate probabilities of PFS, log-rank test to compare PFS, and Cochran-Armitage trend test to compare the incidence of mutation among subgroups. We used R version 3.5.0 or SAS® version 9.3 for statistical analyses. For biomarker correlation, we tested cellular DNA or cell-free DNA collected from patients in the discovery cohort with the targeted sequencing of BTK and PLCG2 genes. Result: At a median follow-up of 5.2 years, 28 (33.3%) of 84 patients in the discovery cohort progressed or died. 52 (61.9%) patients had treatment-naïve CLL. Independent factors of PFS on univariate analysis were; TP53 aberration, prior treatment, and β-2 microglobulin (B2M) >4mg/L (P<0.05 for all tests). Unmutated IGHV and advanced Rai stage (III/IV) showed a trend toward inferior outcome without reaching statistical significance. Because higher levels of B2M were associated with relapsed/refractory CLL, we performed two multivariate Cox regression models to assess B2M and prior treatment status separately. Risk groups were determined by the presence of TP53 aberration, advanced Rai stage, and B2M >4mg/L for Model 1, and TP53 aberration, advanced Rai stage, and relapsed/refractory CLL for Model 2 (Table 1). The high-risk group had all three adverse risk factors; the intermediate-risk group had two risk factors; and the low-risk group, none or one. The median PFS of the high-risk group was 38.9 months for Model 1 and 38.4 months for Model 2, and was significantly shorter than those of intermediate and low-risk groups. In the validation cohort, 254 (41.8%) of 607 patients progressed or died at a median follow-up of 4.2 years. 167 (27.5%) patients had treatment-naïve CLL. Both models showed statistically significant differences in PFS by risk groups (Table 1). For the high-risk group, 4-year PFS was 30.2% in Model 1 and 30.5% in Model 2, which were inferior to those of intermediate (53.4 and 52.4%) and low-risk groups (68.7 and 73.7%). Model 1 classified 20% of patients and Model 2 classified 28% of patients to the high-risk group. BTK and PLCG2 mutations are common genetic drivers of ibrutinib resistance in CLL. To determine whether the incidence of these mutations correlates with prognostic risk groups, we performed targeted sequencing of BTK and PLCG2 of samples collected from patients in the discovery cohort. We used cell-free DNA for patients who received long-term ibrutinib (≥3 years) and had low circulating tumor burden, and cellular DNA, for samples collected within 3 years on ibrutinib or at progression. Of 84 patients, 69 (82.1%) were tested at least once, and 37 (44.0%) were tested at least twice. The frequency of testing was similar across the risk groups by two models (P>0.05). The cumulative incidences of mutations at 5 years in the low-, intermediate-, and high-risk groups were: 21.4%, 44.8% and 50%, respectively, by Model 1 (P=0.02); and 22.6%, 41.4% and 66.7%, respectively, by Model 2 (P=0.01). Conclusion: We developed and validated prognostic models to predict the risk of disease progression or death in CLL patients treated with ibrutinib. Risk groups classified by three commonly available pre-treatment factors showed statistically significant differences in PFS. The clinically-defined high-risk disease was linked to higher propensity to develop clonal evolution with BTK and/or PLCG2 mutations, which heralded ibrutinib resistance. Disclosures Albitar: Neogenomics Laboratories: Employment. Ma:Neogenomics Laboratories: Employment. Ipe:Pharmacyclics, an AbbVie Company: Employment, Other: Travel; AbbVie: Equity Ownership. Tsao:Pharmacyclics LLC, an AbbVie Company: Employment. Cheng:Pharmacyclics LLC, an AbbVie Company: Employment. Dean:CTI BioPharma Corp.: Employment, Equity Ownership; Pharmacyclics LLC, an AbbVie Company: Employment, Equity Ownership. Wiestner:Pharmacyclics LLC, an AbbVie Company: Research Funding.

scholarly journals Mutation Landscape and Prognostic Correlates of ASXL1 Variants in Primary and Secondary Myelofibrosis

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2578-2578
Author(s):  
Giacomo Coltro ◽  
Paola Guglielmelli ◽  
Giada Rotunno ◽  
Carmela Mannarelli ◽  
Chiara Maccari ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Prognostic Impact ◽  
Driver Genes ◽  
Advisory Committees ◽  
Risk Of Death ◽  
Significant Difference

Abstract Introduction: Myelofibrosis (MF), whether primary (PMF) or secondary (SMF) to polycythemia vera or essential thrombocytemia, is characterized by a complex and partially undeciphered molecular architecture. Besides mutations in driver genes (JAK2, CALR, MPL), somatic mutations in selected myeloid-associated genes have been shown to impact prognosis of MF patients (pts). Among these, ASXL1 mutations (ASXL1MTs) are associated with poor outcomes in myeloid malignancies including PMF, where they are included in the category of "high molecular risk" (HMR) mutations along with EZH2MTs, IDH1/2MTs, and SRSF2MTs (Vannucchi AM, Leukemia 2013). However, a recent study (Luque Paz D, Blood Adv 2021) questioned the value of ASXL1MTs in MF. The current study aimed at further characterizing the prognostic role of ASXL1MTs in MF. Methods: After IRB approval, pts with WHO-defined MF were included in the study. Mutational analysis by targeted NGS was performed as previously described (Guglielmelli P, JCO 2017). All deposited variants were manually curated to assess pathogenicity. In this study, we also used the molecular model proposed by Luque Paz et al. that identifies 4 genetic groups: TP53MT; High-risk (≥1 mutation in EZH2, CBL, U2AF1, SRSF2, IDH1/2); ASXL1MT-only; and "Others". Results: A total of 525 pts were included in the study, including 331 (63%) PMF and 194 (37%) SMF. Median age at diagnosis was 89 (18-90) years, 314 (60%) were male. The median follow-up time was 80 (98% CI, 68-90) months. Overall, 324 (62%) pts were JAK2MT, 126 (24%) CALRMT, 24 (5%) MPLMT, 40 (8%) triple negative (TN), and 11 (2%) double mutated. Among non-driver genes, ASXL1MTs were found in 158 (30%) pts, EZH2MTs in 45 (9%), SRSF2MTs in 37 (7%), NRASMTs in 30 (6%) U2AF1MTs in 27 (5%), TP53MTs and CBLMTs in 25 (5%) each, IDH1/2 MTs in 18 (3%), and KRAS MTs in 15 (3%). Pts in the HMR category were 125 (38%) in PMF and 63 (32%) in SMF. According to the above model, distribution of pts was as follows: TP53MT n=25 (5%), High-risk n=137 (26%), ASXL1MT-only n=64 (12%), and Others n=299 (57%). Pts in the TP53MT and ASXL1MT-only groups were more likely to be diagnosed with SMF compared to pts in the High-risk and Others groups (44% and 48% vs 28% and 38%, respectively). In addition, the High-risk group was enriched in TN pts (16%), while CALRMTs were more common in the ASXL1MT-only and Others compared to the TP53MT and High-risk groups (25% and 27% vs 12% and 18%, respectively). In univariate analysis, the TP53MT and High-risk groups were associated with the worst overall survival (OS), with median values of 38 (14-110) and 55 (45-85) months (P=.0039), respectively (Fig 1A). Albeit remarkably better, the OS of pts in the ASXL1MT-only group was inferior compared to pts in the Others group (median 124 [91-156] vs 193 [142-NR] months; P=.0118) (Fig 1A). We then analyzed separately PMF and SMF cohorts. In the former, the TP53MT and High-risk groups remained associated with the worst OS (median 58 [20-126] vs 55 [36-85] months), although with no significant difference, likely due to the low frequency (4%) of TP53MTs mutations in PMF (Fig 1B). Concurrently, the negative prognostic impact of the ASXL1MT-only group was confirmed in comparison to the Others group (median 103 [78-NR] vs 320 [178-NR] months; P=.0170). In pts with SMF, while the TP53MT group (6%) had by far the worst OS (median 13 [6-NR] months), the OS of the ASXL1MT-only group (median 141 [56-171] months) was comparable to that of the Others group (median 131 [106-NR] months; P=.5188) and not different from the High-risk group (median 58 [45-174] months; P=.3606) (Fig 1C). In a further analysis including only pts in the High-risk group, ASXL1MTs were found in 62% and 63% of patients with PMF and SMF, respectively. In survival analysis, the presence of ASXL1MTs was associated with an increased risk of death only in PMF (median OS 47 [31-73] vs 102 [34-317] months; P=.0240), unlike in SMF (median OS 90 [47-174] vs 25 [16-338] months; P=.3296) (Fig 1D-E). Conclusion: In the current study, we critically re-addressed the prognostic impact of ASXL1MTs by applying a genetic model recently developed by Luque Paz et al. to our cohort of molecularly annotated, WHO-defined MF pts. Overall, our results confirm that ASXL1MTs -even in the absence of other co-occurring high-risk mutations- harbor a negative prognostic impact mainly in PMF. These findings also reinforce the idea that PMF and SMF represent two different biological entities. Figure 1 Figure 1. Disclosures Vannucchi: Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees.

Late morbidity and mortality among survivors of neuroblastoma treated with contemporary therapy: A report from the Childhood Cancer Survivor Study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10044-10044
Author(s):  
Danielle Novetsky Friedman ◽  
Pamela J. Goodman ◽  
Wendy M. Leisenring ◽  
Lisa Diller ◽  
Susan Lerner Cohn ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Risk Groups ◽  
Morbidity And Mortality ◽  
Malignant Neoplasms ◽  
Intermediate Risk ◽  
High Risk Disease ◽  
Late Morbidity ◽  
All Cause Mortality ◽  
Related Mortality

10044 Background: Survival rates for neuroblastoma vary widely based on risk group. Therapies have evolved over the past four decades to de-intensify treatment for individuals with low/intermediate risk disease and intensify therapy for those with high risk disease. Risk stratification is predicted to result in differential outcomes in late morbidity and mortality; the magnitude of these differences has not been well studied. Methods: We evaluated late mortality, subsequent malignant neoplasms (SMN) and chronic health conditions (CHC) graded according to CTCAE v4.03 among 491 5-year CCSS survivors of neuroblastoma diagnosed 1987-1999 at ≥1 year of age. Using age, stage at diagnosis, and treatment, survivors were classified into risk groups (low [n=182]; intermediate [n=70]; high [n=239]). Standardized mortality ratios (SMR) and standardized incidence ratios (SIR) of SMN were calculated using rates from NCHS and SEER, respectively. Cox regression models estimated hazard ratios (HR) and 95% confidence intervals (CI) for CHC compared to 1,029 CCSS siblings. Results: Among survivors (48% male; median age 22 years, range 7-42; median follow-up 19 years, range 5-29), 80.4% with low risk disease were treated with surgery alone, while 77.8% with high risk disease received surgery, radiation, chemotherapy ± transplant. The 15-year cumulative incidence of all-cause mortality was 9.2% (CI: 7.1-11.4), with a recurrence-related mortality of 7.3% (CI: 5.3-9.3) and SMN-related mortality of 0.3% (CI: 0-0.7). All-cause mortality was significantly higher in all risk groups: (low, SMR=5.8 [CI: 2.6-13.0]; intermediate, SMR=5.7 [CI: 1.4-23.5]; high, SMR=38.6 [CI: 27.9-53.5]). The risk of SMN was elevated among high risk survivors (SIR=25.1, CI: 16.7-37.6), but did not differ from the US population for survivors of low or intermediate risk disease. Table describes the HR of CHCs (grades 1-5 and 3-5) in survivors, by risk group, as compared with siblings, as well as categories of CHCs for which survivors were at increased risk. Conclusions: Long-term survivors of neuroblastoma have a high risk of late morbidity and mortality; risk is particularly pronounced among survivors of high risk disease. Vigilant lifelong medical surveillance will be required for this relatively young population as they age.[Table: see text]

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