Kooperativer Bibliotheksverbund

In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 5464-5464

Abstract: Background: Comorbidities and body mass index (BMI) are significantly associated with outcome in patients (pts) who receive continue treatment with tyrosine kinase inhibitors (TKIs), such as in Ph+ leukemias. Ruxolitinib (RUX) is the first JAK1/2 inhibitor that may induce spleen/symptom responses and improve quality of life in pts with myelofibrosis (MF). Up-to-date, no data are available on the impact of comorbidities and BMI on pts treated with RUX. Aims: To evaluate the impact of comorbidities and BMI on responses, overall survival (OS) and maintenance of RUX dose in a large cohort of pts. Methods: Data were extracted from an electronic database that included retrospective data on pts treated before January 2015 in 16 Italian Hematology centers. Response to RUX was evaluated according to IWG-MRT criteria. BMI was calculated at the time of start of RUX and classified according to WHO criteria. Comorbidities were recorded at the time of start of RUX and classified according to the Charlson Comorbidity Index (CCI). Overall survival (OS) was calculated from the date of RUX start to the time of death or to last follow-up, whichever came first. Results: Between June 2011 and Apr 2016, 289 pts with PMF (52.6%), or PET-MF (17%) or PPV-MF (30.4%) were treated with RUX in participating Centers. At RUX start, median age was 68.4 years (range 39-89) with a male prevalence (56.4%); International Prognostic Score System (IPSS) was intermediate (intm)-1 (15.6%), intm-2 (45.3%), high (39.1%). Transfusion dependence and spleen enlargement were present in 26.6% and 96.9% of pts, respectively (69.6% with spleen≥ 10 cm). Median total symptom score (TSS) was 20 (range 0-70). JAK2V617F was present in 80.3% of 234 evaluable pts. Median follow-up from MF diagnosis was 3.8 yr (range 0.3-29.6) and median RUX exposure was 20 months (3-56.2). Overall, comorbidities were evaluable in 275 pts. CCI stratification showed the absence of comorbidities in 100 pts (36.4%), one comorbidity in 63 pts (22.9%) and two or more in 112 pts (40.7%). Compared to pts with CCI 〈 2, pts with CCI ≥2 were more frequently: male (66.1% vs 49.1%, p=0.005), ≥65y (74.1% vs 54%, p=0.001), at intm2/high IPSS risk (90.2% vs 81%, p=0.03) and transfusion-dependent (36.6% vs 20.2%, p=0.003). Notably, the percentage of pts starting RUX 〉 2y from MF diagnosis was lower if CCI≥2 (33.9% vs 54%, p=0.001). Higher CCI did not correlate with lower spleen response (achieved by 45.2% vs 34.7%, p=0.09), TSS response (90.1% vs 83.2%, p=0.11), and higher incidence of RUX-induced anemia (Hb 〈 10 g/dl in pts with baseline Hb ≥10 g/dl) (48% vs 41%, p=0.33). RUX starting and titrated doses at 12-wks were similar in the two groups (p=0.44 and p=0.81, respectively). OS was significantly higher in pts with CCI 〈 2 (96.7% vs 87.8% at 2 yr, p 〈 0.001). After stratification according to CCI (below or above 2) and the achievement of a spleen response, both factors remained significantly associated with survival. Indeed, in pts with CCI 〈 2 OS at 2 yr was 92.7% and 79.1%, depending on the achievement of a spleen response (SR) or not (NR), respectively (p=0.034). Analogously, in pts with CCI≥2 the achievement of a spleen response significantly increased survival (79.2% vs 55.3% in pts without spleen response, p=0.011). Notably, OS was comparable in pts with lower CCI /no spleen response and in pts with higher CCI/spleen response (79.1% vs 79.2%) (Figure 1). BMI was evaluable in 269 pts: 169 pts (62.8%) were classified as under-weight/normal for a BMI 〈 25, whereas 100 pts were overweight/obese (BMI ≥25). Pts with BMI≥25 were more frequently male (71% vs 47.3%, p 〈 0.001) and with a lower incidence of anemia (30% vs 42%, p=0.049). BMI stratification did not correlate with differences in spleen response (p=0.83) and TSS (p=0.18) or onset of anemia/infections during treatment (p=0.49 and p=0.28). Starting and median doses, as well as percentage of pts reducing RUX dose over time, were similar in the two groups. Summary: In MF pts treated with RUX, BMI and comorbidities did not influence the achievement of spleen/symptom responses, maintenance of RUX dose or onset of drug-related anemia. Although CCI stratification correlated with survival, as in Ph+ leukemias treated with TKIs, the achievement of a spleen response was able to counterbalance the negative prognostic effect of a higher CCI. Consequently, higher BMI and CCI should not be regarded as contraindication to RUX therapy. Figure Figure. Disclosures Breccia: Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Honoraria; Celgene: Honoraria; Ariad: Honoraria; Pfizer: Honoraria. Tiribelli:Ariad Pharmaceuticals: Consultancy, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau. Bonifacio:Ariad Pharmaceuticals: Consultancy; Amgen: Consultancy; Pfizer: Consultancy; Bristol Myers Squibb: Consultancy; Novartis: Research Funding. Cimino:Bristol-Mayer: Honoraria; Celgene: Honoraria. Latagliata:Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Honoraria; Celgene: Honoraria; Janssen: Consultancy, Honoraria; Shire: Honoraria. Cavo:Bristol-Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Millennium: Consultancy, Honoraria; Janssen-Cilag: Consultancy, Honoraria.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V128.22.5464.5464

Language: English

Publisher: American Society of Hematology

Publication Date: 2016

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: British Journal of Haematology, Wiley, Vol. 192, No. 6 ( 2021-03), p. 1068-1072

Abstract: In a series of 349 patients with chronic lymphocytic leukaemia (CLL), we found lower levels of signalling lymphocytic activation molecule family member 1 ( SLAMF1 ) expression in cases with highly complex karyotypes, as defined by the presence of five or more chromosomal abnormalities (CK5; P   〈  0·001) and with major chromosomal structural abnormalities ( P   〈  0·001). SLAMF1 downregulation was significantly associated with advanced Binet Stage ( P  = 0·001), CD38 positivity ( P   〈  0·001), high β 2 ‐microglobulin levels ( P   〈  0·001), immunoglobulin heavy chain variable region gene ( IGHV ) unmutated status ( P   〈  0·001), 11q deletion ( P   〈  0·001), tumour protein p53 ( TP53 ) disruption ( P  = 0·011) and higher risk CLL International Prognostic Index categories ( P   〈  0·001). Multivariate analysis showed that downregulated SLAMF1 levels had independent negative prognostic impact on time‐to‐first treatment ( P   〈  0·001) and overall survival ( P   〈  0·001).

Type of Medium: Online Resource

ISSN: 0007-1048 , 1365-2141

URL: Issue

URL: Article

DOI: 10.1111/bjh.v192.6

DOI: 10.1111/bjh.16865

Language: English

Publisher: Wiley

Publication Date: 2021

detail.hit.zdb_id: 1475751-5

In: British Journal of Haematology, Wiley, Vol. 181, No. 2 ( 2018-04), p. 229-233

Abstract: Complex karyotype ( CK ) is a negative prognostic factor in chronic lymphocytic leukaemia ( CLL ). However, CK is a heterogeneous cytogenetic category. Unbalanced rearrangements were present in 73·3% of 90 CLL patients with CK (i.e. ≥3 chromosome aberrations in the same clone), and were associated with a shorter overall survival ( P  =   0·025) and a shorter time to first treatment ( P  =   0·043) by multivariate analysis. Patients with unbalanced rearrangements presented a distinct mRNA expression profile. In conclusion, CLL patients with unbalanced rearrangements might represent a subset of very high‐risk CLL patients with distinct clinical and biological characteristics.

Type of Medium: Online Resource

ISSN: 0007-1048 , 1365-2141

URL: Issue

URL: Article

DOI: 10.1111/bjh.2018.181.issue-2

DOI: 10.1111/bjh.15174

Language: English

Publisher: Wiley

Publication Date: 2018

detail.hit.zdb_id: 1475751-5

In: Blood, American Society of Hematology, Vol. 129, No. 26 ( 2017-06-29), p. 3495-3498

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2017-03-772285

Language: English

Publisher: American Society of Hematology

Publication Date: 2017

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 119, No. 10 ( 2012-03-08), p. 2310-2313

Abstract: It is unclear whether karyotype aberrations that occur in regions uncovered by the standard fluorescence in situ hybridization (FISH) panel have prognostic relevance in chronic lymphocytic leukemia (CLL). We evaluated the significance of karyotypic aberrations in a learning cohort (LC; n = 64) and a validation cohort (VC; n = 84) of patients with chronic lymphocytic leukemia with “normal” FISH. An abnormal karyotype was found in 21.5% and 35.7% of cases in the LC and VC, respectively, and was associated with a lower immunophenotypic score (P = .030 in the LC, P = .035 in the VC), advanced stage (P = .040 in the VC), and need for treatment (P = .002 in the LC, P = 〈 .0001 in the VC). The abnormal karyotype correlated with shorter time to first treatment and shorter survival in both the LC and the VC, representing the strongest prognostic parameter. In patients with chronic lymphocytic leukemia with normal FISH, karyotypic aberrations by conventional cytogenetics with novel mitogens identify a subset of cases with adverse prognostic features.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2011-11-395269

Language: English

Publisher: American Society of Hematology

Publication Date: 2012

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 100, No. 9 ( 2002-11-01), p. 3344-3351

Abstract: Because tumor progression is angiogenesis-dependent, angiogenesis density was investigated by immunohistochemistry and computed image analysis in bone marrow (BM) biopsies of 45 newly diagnosed patients with Binet stage A B-cell chronic lymphocytic leukemia (BCLL) and correlated to upstaging and progression-free survival during a 40-month follow-up period. Their microvessel areas and counts were significantly higher than those of patients with anemia due to iron or vitamin B12deficiencies. A cutoff value of 0.90 mm2 × 10−2 or greater of the microvessel area identified patients with earlier upstaging and shorter progression-free survival. When the cutoff was applied to the Rai subclassification, both Rai 0 and Rai I-II patients who upstaged and shortened the progression-free survival were classified correctly. Information of this type was not given by the microvessel counts. The cutoff did not correlate with other predictors representative of tumor mass or disease progression. The microvessel area correlated with the expression of angiogenic vascular endothelial growth factor (VEGF) by tumor tissue, and serum levels of VEGF were found to be of prognostic value. A causal relationship between risk of progression and BM angiogenesis in BCLL is suggested. A risk stratification inside Rai is proposed. The prognostic usefulness of BM angiogenesis in patients with BCLL is envisaged.

Type of Medium: Online Resource

ISSN: 1528-0020 , 0006-4971

URL: Article

DOI: 10.1182/blood-2002-01-0084

Language: English

Publisher: American Society of Hematology

Publication Date: 2002

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 4303-4303

Abstract: Background Myelofibrosis (MF) is featured by an inflammatory condition that can also drive the progression of disease. Ruxolitinib (RUX) is the-first-in-class Jak1/2 inhibitor approved for treatment for MF. Clinical benefits of RUX are presumably derived from reduction of inflammatory cytokines even if the exact mechanism remains unclear. Recent reports have identified the ratio between absolute neutrophils count (ANC) and absolute lymphocyte count (ALC), called NLR, as a simple parameter that mirrors the inflammatory status and the myeloid associated immune suppression. In various malignancies NLR has been indicated as predictor of progression free survival (PFS) and overall survival (OS). Our preliminary work in a single-center experience showed that patients with NLR 〉 6 before RUX start had a lower chance to obtain 〉 50% spleen reduction in the first 12 weeks or a complete resolution of splenomegaly at 24 weeks. Objective : We proposed to test NLR=6 as bio-marker in MF to apply into clinical practice as a possible predictor of response to RUX. Methods We used two separate cohorts to validate NLR (as a continuous variable and as a cut off 6) as predictor of response to RUX bases on our preliminary data from healthy volunteers (data not shown). Cohort (#1) including 111 MF patients from MD Anderson Cancer Center treated with RUX on phase 1/2 clinical trial from 2007 to 2010; and cohort (#2) including 367 patients treated at 18 Italian centers between years 2012 - 2018. Spleen responses to RUX treatment, PFS and OS were independently validated in cohorts #1 and 2. As cohort 1 included patients treated on clinical trial, spleen was assessed by MRI before and after 24 weeks of RUX therapy, and by physical examination at week 12. In cohort #2, spleen size was assessed by physical examination before, after 12 and 24 weeks of RUX continuous treatment in a real-life setting. NLR was calculated using data obtained from the complete blood count before RUX start and correlated with driver mutations, early spleen reduction, progression free survival (PFS), defined as time from RUX start to last follow-up or progressive disease (including progression to acute myeloid leukemia, ≥20% blasts in peripheral blood or bone marrow, AML) or death for any reason; and overall survival (OS). Results : Clinical and demographics characteristics of patients in each cohort are summarized in Table 1. In cohort #1 we found that NLR was lower in patients with lower bone marrow fibrosis (grade 0-1: 6.2±0.8 versus grade 2-3: 7.3±0.8, p=0.03). Similarly, in cohort #2, patients with grade 0-1 bone marrow fibrosis had lower NLR than those carrying grade 2-3 bone marrow fibrosis (7.7±0.7 versus 10.6±1.3, p=0.04). NLR was higher in patients carrying JAK2 (V617F) mutation (mean +/- SD, 6.4±0.6 vs 5.3±0.5, p=0.02 in cohort 1 and 9.1±0.6 vs 5.0±0.5, p=0.002 in cohort 2). While in cohort 1 NLR appeared lower in CALR (exon 9 indel) mutated patients, the difference was statistically significant in cohort 2 (5.4±0.8 vs 8.9±0.6, p=0.03). In both cohorts, there were no differences in NLR in either triple negative or MPL (exon 10) patients. In cohort 1, the mean percentage change from baseline in palpable spleen length was −47.7% at week 12 and −53.4% at week 24. NLR=6 was able to identify at baseline early response to RUX with 66.9% sensitivity and 72.3% specificity (HR 1.68, p=0.01). Patients with NLR 〉 6 before RUX start had a lower chance to obtain a complete resolution of splenomegaly at 24 weeks (p=0.001). These observations were confirmed in cohort 2 where NLR 〉 6 was able to identify at baseline early response to RUX with 50.3% sensitivity and 67.7% specificity (HR 1.56, p=0.01). The mean percentage change from baseline in palpable spleen length was −60.3% at week 12 and −66.7% at week 24. Patients with NLR 〉 6 before RUX start had a lower chance to obtain a complete resolution of splenomegaly at 24 weeks (p 〈 0.002). At the time of this analysis, 84/111 (75.6%) patients in cohort 1 and 122/367 (33.2%) in cohort 2 had died (p 〈 0.001). Progression to AML occurred in 6/111 (5.4 %) patients of cohort 1 and in 35/367 (9.5%) patients of cohort 2 (p=0.03). With median follow-ups of 47.8 months and 35.2 months for cohorts 1 and 2, respectively, NLR as a continuous variable or NLR 〉 6 was not a predictor of PFS or OS. Conclusions : NLR before RUX start could serve as a useful, simple and early predictor of spleen response in MF patients; and it positively correlates with JAK2 mutation and higher fibrosis grade. Disclosures Palandri: Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Vitolo:Sandoz: Speakers Bureau; Takeda: Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Gilead: Speakers Bureau. Cuneo:Roche: Other: advisory board, Speakers Bureau; Abbvie: Other: advisory board, Speakers Bureau; Gilead: Other: advisory board, Speakers Bureau; janssen: Other: advisory board, Speakers Bureau. Aversa:Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria; Basilea: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria. Cavo:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: 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, Research Funding, Speakers Bureau; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Palumbo:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Di Raimondo:Takeda: Honoraria, Research Funding; Celgene: Honoraria. Verstovsek:Celgene: Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Italfarmaco: Membership on an entity's Board of Directors or advisory committees.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2018-99-116418

Language: English

Publisher: American Society of Hematology

Publication Date: 2018

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 1128-1128

Abstract: Background: Response to ruxolitinib (RUX), the only JAK1/2 inhibitor commercially available for the treatment of Myelofibrosis (MF) may vary among patients (pts) and is largely unpredictable at therapy start. Therefore, pts' selection is based only on clinical needs. Aims: To evaluate the impact of pre-treatment clinical/laboratory factors, as well as RUX dose, on response to RUX in a cohort of "real-life" MF pts. Methods: A multicenter observational study on WHO-defined MF was conducted in 18 Italian Hematology Centers. Data were extracted from a database that included retrospective data on pts treated before January 2015. Subsequently, data were prospectively collected and updated at a 6-month interval.Response to RUX was evaluated according to IWG-MRT criteria. Results: Between June 2011 and Apr 2016, 408 pts with PMF (54.4%), or postET (27.7%) / post-PV (17.9%) were treated with RUX. At RUX start, baseline characteristics were (median): age, 68.5 y (range, 26.5-89); ≥65 y, 63.5%; male, 56.4%; hemoglobin (Hb), 10.7 g/dL (7-16.7); transfusion-dependence 27.9%; PLT, 256×109/L (50-1887); PLT 〈 100×109/L, 9.6%; spleen enlargement, 96.6% (spleen length ≥10cm: 64.2%); total symptoms score (TSS), 20 (12-70).International Prognostic Score System (IPSS) was intermediate (intm)-1 (15.7%), intm-2 (47.3%), high (37%). Molecular data were available for 332 pts (81.4%) and was positive in 81% (JAK2V617F), 6.3% (CALR), 1% (MPLW515K/L); 2.7% (triple negative). 30 pts (9%) were JAK2V617Fnegative but did not receive further molecular evaluation. Karyotype was abnormal in 55 (26%) out of 210 evaluable pts (unfavorable: 8.1%). Median follow-up from MF diagnosis was 3.8 yr (0.3-29.6) and median RUX exposure was 20 mos (3-56.2). Overall, 152 out of 365 (42%) pts with spleen ≥5cm achieved a spleen response at any time during RUX therapy. At 3 and 6 mos, the response was achieved by 26.6% and 34.4% of evaluable pts, respectively. In univariate analysis, pre-treatment factors negatively correlating with spleen response were: transfusion dependence, platelet count ≤200x109/l, spleen palpable ≥10 cm below costal margin, grade 3 marrow fibrosis, intm-2/high IPSS risk and interval between MF diagnosis and RUX start ≥2y. Three variables remained significant in multivariate regression logistic analysis: large splenomegaly (HR: 2.05, 95%CI: 1.1-3.7; p=0.02), time-interval ≥2y (HR: 1.78, 95%CI:1.0-3.1; p=0.04) and transfusion dependency (HR: 1.95, 95%CI:1.0-3.7; p=0.04). Spleen response significantly correlated with the average RUX dose in the first 12 wks, with pts treated with doses ≥10 mg BID having better response rates (47.3% vs 26.6% if dose 〈 10 mg BID, HR:2.36, 95%CI:1.3-4.3, p=0.005). 360 pts had a TSS 〉 10 at RUX start and 319 (88.6%) achieved a symptom response. In multivariate analysis, factors associated with worse responses were: transfusion dependency (HR: 3.15, 95%CI 1.5-6.4, p=0.001) and a baseline TSS 〉 20 (HR: 6.7, 95%CI 3.2-13.8, p 〈 0.001). RUX titrated dose 〈 10 mg BID during the first 12-wks of therapy negatively correlated with symptoms response (HR: 2.6, 95%CI 1.05-6.7, p=0.037). Drug-related anemia (acquisition of transfusion dependency or Hb 〈 10g/dl in pts with a previous Hb≥10) was observed in 127/291 (43.6%) evaluable pts. The probability to develop anemia was significantly higher in females (HR: 1.63, 95%CI 1.03-2.57, p=0.036). Notably, anemia was not influenced by RUX 12-wks titrated dose (41.8% in pts with RUX titrated dose 〈 10 mg BID vs41.5% with higher doses). 80 (19.6%) pts discontinued RUX because of: lack/loss of response (28.8%); drug-related toxicity (27.5%, specifically: thrombocytopenia, 16.2%; infection, 6.3%; anemia, 5%); disease progression with/without acute evolution (8.8%); death (13.8%); allogeneic transplant (8.8%); 2ndneoplasia (3.8%); other unrelated causes (8.5%). Summary/Conclusion: In a real-life setting, IWG-MRT-defined spleen and symptoms response rates were observed in 42% and 88.6% of evaluable pts, respectively. Disease severity (in terms of transfusion dependency and large splenomegaly) and a delay in RUX start ≥2yr from diagnosis identified pts with lower spleen response rates. Titrated doses 〈 10mg BID significantly correlated with poorer spleen and symptoms responses. Overall, these data point out the importance of an early treatment and of an effective (≥ 10 mg BID) titrated dose in order to achieve better therapeutic results. Disclosures Palumbo: Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Speakers Bureau; Shire: Honoraria; Roche: Honoraria. Bonifacio:Novartis: Research Funding; Bristol Myers Squibb: Consultancy; Amgen: Consultancy; Ariad Pharmaceuticals: Consultancy; Pfizer: Consultancy. Tiribelli:Bristol-Myers Squibb: Consultancy, Speakers Bureau; Ariad Pharmaceuticals: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau. Latagliata:Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Honoraria; Celgene: Honoraria; Janssen: Consultancy, Honoraria; Shire: Honoraria. Vitolo:Roche: Membership on an entity's Board of Directors or advisory committees, Other: Honoraria for lectures; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: Honoraria for lectures; Gilead: Other: Honoraria for lectures; Takeda: Other: Honoraria for lectures. Fanin:Novartis: Speakers Bureau. Merli:Teva Pharmaceuticals Industries: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding. Cavo:Janssen-Cilag: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Millennium: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria. Breccia:Ariad: Honoraria; Bristol Myers Squibb: Honoraria; Novartis: Consultancy, Honoraria; Celgene: Honoraria; Pfizer: Honoraria.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V128.22.1128.1128

Language: English

Publisher: American Society of Hematology

Publication Date: 2016

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 5272-5272

Abstract: Background: Chronic lymphocytic leukemia displays an extremely variable clinical behaviour. The availability of effective first-line regimens and recent data on the efficacy of novel molecules targeting B-cell receptor (BCR) signalling make prognostication and prediction of response to treatment a mandatory exercise in clinical practice. A plethora of prognostic biomarkers have been identified, but few of them were validated by multivariable analysis in the context of prospective studies. Methods: Based on previous analyses, 18 biomarkers known to have prognostic significance were included in this survey: stereotyped receptors and BCR subsets, CD38, ZAP70, CD49d, IGHV gene mutational status, 17p-/TP53 mutations, 11q-, telomere length, complex karyotype, NOTCH1 and SF3B1 mutations, age, gender, performance status (PS), stage, lymphocytosis, beta-2-microglobulin, thymidine kinase (TK). A literature search was performed to identify reports describing the prognostic impact of each biomarker. Twenty-one papers fulfilling the following stringent requirements were included in this analysis: i) thorough assessment of the main known prognostic parameters, i.e. salient clinical and genetic data; ii) prospective design of the study (clinical trial) or single/multicentre study using a learning cohort and a validation cohort. Each prognostic marker was analysed: i) as a prognostic factor, with reference to its impact on time to first treatment (TTFT), complete response (CR) rate, progression free survival (PFS) and overall survival (OS); ii) as a predictive factor, in terms of response to specific treatment and transformation into Richter's syndrome. Results: Sixteen of the 18 parameters showed unfavourable prognostic significance in at least 1 study (Figure 1). No paper fulfilling our stringent inclusion criteria was found to address the impact of stereotyped BCR or BCR subsets and ZAP70 expression did not show independent significance in any of the selected studies. Eleven parameters showed unfavourable impact on TTFT, PFS and/or OS in at least 2/3 of the selected studies (Table 1), thus representing reproducible markers of outcome. 17p-/TP53 mutations and unmutated IGHV proved independent predictors for all outcome measures in the majority of the studies; the same applies to 11q- for TTFT and PFS and serum beta-2-microglobulin for OS (Figure 1). Telomere length proved a reproducible predictor of outcome, but the detection method is not standardized yet. No univocal data emerged from our survey on the predictivity of NOTCH1 and SF3B1 mutations. Host characteristics such as poor PS, advanced age and gender maintained a relevant role in predicting OS (Figure 1). Even though no paper with the required characteristics was found to address the impact of biomarkers on evolution to Richter's syndrome and on response rate, available evidence points to a role for 17p-/TP53 mutations in identifying cases with an inferior CR rate, that was not assessed by multivariable analysis. Conclusions: This review shows that 17p-/TP53 mutations and unmutated IGHV are to be considered the most reliable markers for usage in clinical practice. 11q- has a solid prognostic impact but lost its predictivity on OS in patients eligible to modern chemoimmunotherapy regimens. Beta-2 microglobulin levels along with basic patient's characteristics strongly correlate with OS, while measures of disease burden do not retain a prognostic role. The prognostic significance of CD38 and ZAP70 was overcome by more robust genetic parameters. Adequate clinical trials are needed to assess the impact of biomarkers on predicting response to specific treatments. Figure 1. Markers with unfavourable prognostic significance for one or more outcome measures in at least 2/3 of the studies (out of a total of at least 3 studies). Figure 1. Markers with unfavourable prognostic significance for one or more outcome measures in at least 2/3 of the studies (out of a total of at least 3 studies). Figure 2. Number of studies assessing the impact of each parameter in terms of a) TTFT; b) PFS; c) OS: the blue part of each column represents the number of studies showing negative impact on prognosis; the red part represents the number of studies showing no prognostic impact. Figure 2. Number of studies assessing the impact of each parameter in terms of a) TTFT; b) PFS; c) OS: the blue part of each column represents the number of studies showing negative impact on prognosis; the red part represents the number of studies showing no prognostic impact. Disclosures Cuneo: Roche: Speakers Bureau; Gilead: Speakers Bureau; Jannsen: Speakers Bureau; Celgene: Speakers Bureau; Novartis: Speakers Bureau.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V126.23.5272.5272

Language: English

Publisher: American Society of Hematology

Publication Date: 2015

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 4166-4166

Abstract: Introduction. Blast phase (BP) is the terminal and most incurable phase of myelofibrosis (MF) and occurs in a not negligible fraction of patients (pts). In the pre-ruxolitinib (RUX) era, peripheral blasts, thrombocytopenia, unfavorable cytogenetics, and high risk category were identified as predictors of BP. RUX is the standard of care for symptomatic MF; however, information on clinical/laboratory correlates of BP in RUX-treated pts is not available. Aims. The primary objective of the study is to assess real-world data on incidence, risk factors and outcome of BP in RUX-treated MF pts. Methods. A multicentre observational retrospective study on RUX-treated MF pts was conducted in 20 European Hematology Centers. Data were extracted from an electronic database that included consecutive pts treated with RUX from June 2011. Data cut-off was June 2019. Risk category was assessed at RUX start according to the Dynamic International Prognostic Score System (DIPSS) or the Myelofibrosis Secondary to PV and ET Collaboration Prognostic Model (MYSEC-PM) in pts with post-Polycythemia Vera (PV)/post-Essential Thrombocythemia (ET) MF (secondary MF, SMF). A time-to-event (BP) analysis was conducted with Fine & Gray model with death/time of stem cell transplant as competing risks. Variables tested for association with BP were: age≥65yr, sex, transfusion-dependency, PLT 〈 150x109/l, peripheral blasts ≥3%, marrow fibrosis grade, CALR-unmutated genotype, unfavorable karyotype, spleen length (≥10 cm), total symptoms score (≥20), previous hydroxyurea (HU), alkylating agents, and interferon (IFN) use, time from MF diagnosis to RUX start, and PV/ET duration. Cumulative Incidence Function among risk categories for DIPSS and MYSEC-PM was calculated applying the Gray's model. Results . Overall, 589 MF pts were included and observed for 1833 pt-yrs from RUX start (median, 35.4 mos). Diagnosis was PMF in 304 pts (51.6%), PPV-MF in 164 pts (27.8%) or PET-MF in 121 (20.6%); 58.4% males. Molecular status was: JAK2V617F (82.5%), CALR (11.3%) and MPLW515K/L (1.1%); 5.1% were triple negatives. Overall, 368 (62.5%) pts received ≥1 cytoreductive therapy before RUX, specifically: HU, n. 357; alkylating agents, n. 47; anagrelide, n. 33; and IFN, n. 29. Median time from MF diagnosis to RUX start was 1.3 yrs. DIPSS for the whole cohort was: INT-1 (52.9%), INT-2 (40.1%), and HIGH (7%). DIPSS distribution in PMF pts was: INT-1 (47.8%), INT-2 (45.7%), and HIGH (6.5%), while SMF pts were categorized at LOW (11.1%), INT-1 (43.1%), INT-2 (31.2%) and HIGH (14.6%) risk according to the MYSEC-PM. Overall, 65 (11%) developed BP. In 61 pts, BP caused RUX withdrawal after a median time of 1.2 yrs (0.7-6.2); in 4 pts BP occurred after RUX stop (median time: 2.4 yrs). BP incidence rate was 3.6 x100 pt-yrs and was comparable in PMF and SMF (p=0.1). In univariate analysis, the probability of BP evolution for the PMF cohort was significantly reduced by previous IFN use (p=0.001). In SMF, predictors for BP in univariate analysis were PLT 〈 150 x109/l (p=0.001), blasts ≥3% (p=0.002), grade 3 marrow fibrosis (p=0.03) and PV/ET duration ≥ 10 yrs (p=0.02); previous IFN significantly reduced the risk of BP (p=0.02). In multivariable analysis, PLT 〈 150 x109/l (HR 2.4, 95% CI 1.1-5.4, p=0.03), blasts ≥3% (HR 3.3, 95% CI 1.4-7.5, p=0.004) and previous IFN (HR 0.1, 95% CI 0.02-0.8, p=0.04) remained significant. High DIPSS risk significantly predicted BP in PMF (p=0.04, HR [95% CI]: 2.6 [1.1-6.5] ) but not in SMF (p=0.40). In this latter cohort, only the MYSEC-PM was associated with BP (p=0.02, HR 1.7 [95% CI]: [1.1-2.8] ) (Fig.1). Estimated HRs, in reference to the lower score category, were: 1.10 for INT-1, 1.82 for INT-2, and 4.04 for HIGH risk. HR for HIGH risk, comparing to all lower risk groups, was 3.53 (95% CI: 1.53-8.11). Overall, 54 (81.8%) BP pts died and median survival was 2.8 mos. Survival after BP was not influenced by type of MF, previous response to RUX, and type of salvage treatment. Conclusions. Thrombocytopenia and peripheral blasts at RUX start identified pts at higher risk of BP in SMF, while previous IFN use was associated with reduced BP evolution in both PMF and SMF, suggesting a possible disease-modifying action of this agent. Also, this analysis supports the ability of MYSEC-PM in predicting BP in pts with SMF. Despite RUX use, outcome after BP remained dismal, confirming the need for newer treatment strategies. Disclosures Palandri: Novartis: Consultancy, Honoraria. Breccia:Incyte: Honoraria; Celgene: Honoraria; Novartis: Honoraria; Pfizer: Honoraria; BMS: Honoraria. Tiribelli:Incyte: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees. Benevolo:Novartis Pharmaceuticals: Consultancy. Bonifacio:Novartis: Honoraria; Amgen: Honoraria; Pfizer: Honoraria; Incyte: Honoraria; BMS: Honoraria. Iurlo:Pfizer: Honoraria; BMS: Honoraria; Incyte: Honoraria; Novartis: Honoraria. Elli:Novartis: Membership on an entity's Board of Directors or advisory committees. Abruzzese:BMS: Consultancy; Incyte: Consultancy; Novartis: Consultancy; Pfizer: Consultancy. Sgherza:Novartis: Honoraria; BMS: Honoraria; Pfizer: Honoraria; Incyte: Honoraria. Cavazzini:Pfize: Honoraria; Incyte: Honoraria; Novartis: Honoraria. Crugnola:Novartis: Honoraria; Incyte: Honoraria. Isidori:Janssen: Honoraria; Novartis: Honoraria; Gilead: Honoraria. Heidel:Novartis: Consultancy, Research Funding; Celgene: Consultancy; CTI: Consultancy. Latagliata:Janssen: Honoraria; Novartis: Honoraria; Pfizer: Honoraria; Celgene: Honoraria. Trawinska:Novartis: Consultancy, Honoraria. Krampera:Janssen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Cuneo:Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Abbvie: Honoraria, Speakers Bureau; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Cavo:takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Consultancy, Honoraria, 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, Other: travel accommodations, Speakers Bureau; janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel accommodations, Speakers Bureau; bms: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; novartis: Honoraria. Palumbo:Novartis: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Amgen: Honoraria; Hospira: Honoraria; Teva: Honoraria.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2019-123379

Language: English

Publisher: American Society of Hematology

Publication Date: 2019

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7