Literature DB >> 35078980

Myeloid malignancies in cancer patients treated with poly(ADP-ribose) polymerase (PARP) inhibitors: a case series.

Jennifer L Oliveira1, Patricia T Greipp2, Aruna Rangan1, Aminah Jatoi3, Phuong L Nguyen1.   

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Year:  2022        PMID: 35078980      PMCID: PMC8789926          DOI: 10.1038/s41408-022-00607-7

Source DB:  PubMed          Journal:  Blood Cancer J        ISSN: 2044-5385            Impact factor:   11.037


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Dear Editor, Poly (ADP-ribose) polymerase (PARP) inhibitors interact with DNA at single-strand breaks, prevent repair, and generate irreparable double-strand breaks that lead to tumor cell death [1]. Patients who harbor defects in homologous recombination repair, such as those with BRCA mutations, have tumors that are especially sensitive to PARP inhibitors. However, in their meta-analysis of 28 randomized controlled trials, 18 of which were placebo-controlled, Morice et al. cited the incidence of myeloid malignancies with PARP inhibitors at 0.73% compared to 0.47% in controls (odds ratio: 2.63 (95% confidence interval: 1.13–6.14); p = 0.026)) [2]. This risk is small but more than doubled, even after controlling for prior platinum-based chemotherapy. Here, we report a series of patients with PARP inhibitor-associated myeloid malignancy. Medical records were interrogated for patients prescribed a PARP inhibitor (olaparib, rucaparib, veliparib, niraparib, talazoparib) and cross-referenced against those who underwent a bone marrow (BM) biopsy with a myeloid malignancy. Two hematopathologists independently re-reviewed all available peripheral blood and BM slides and laboratory results including molecular findings from Next Generation Sequencing (NGS). In most patients, molecular testing for myeloid-associated mutations had been performed with the OncoHeme NGS panel which interrogated 42 genes recurrently mutated in myeloid neoplasms [3]. In two patients, an 11-gene panel (CEBPA, DNMT3A, FLT3, IDH1, IDH2, KIT, KRAS, NPM1, NRAS, RUNX1, and TP53) had been applied. Cytogenetic findings were reviewed and reported according to the 2020 International System for Human Cytogenomic Nomenclature [4].

Cases

Between 2014 and 2020, 583 PARP inhibitor-treated patients were identified. Nine had undergone a BM biopsy that showed myelodysplastic syndrome (MDS) in four and acute myeloid leukemia (AML) in five.

Clinical findings

All nine were women with breast and gynecologic malignancies, reflective of common indications for these agents (Table 1).
Table 1

Clinical features (n = 9).

PatientSexSolid tumor diagnosisAge at diagnosis of solid tumor (years)AGE at diagnosis of myeloid malignancy (years)PARP inhibitorDuration of PARP inhibitorWas PARP inhibitor stopped because of myeloid malignancy?BRCA mutation?Other cancer therapyAGE AT DEATH OR LAST FOLLOW UP (years)VITAL STATUS AT TIME OF THIS REPORT
1FemaleOvarian cancer5663Niraparib4 yearsYesYescarboplatin/paclitaxel64Alive
2FemalePrimary peritoneal cancer5154Niraparib2+ yearsYesNocarboplatin/paclitaxel; carboplatin/doxil55Alive
3FemaleFallopian tube7581Olaparib1 yearYesNocarboplatin/paclitaxel81Deceased
4FemaleOvarian cancer6877Olaparib1+ yearsYesNo (Li-Fraumeni syndrome)carboplatin/paclitaxel; carboplatin/docetaxel; carboplatin/doxil78Alive
5FemaleBreast cancer4956Olaparib talazoparib7 monthsYesYesadriamycin/cytoxan/paclitaxel/carboplatin; radiation58Alive
6FemaleFallopian tube cancer6571Olaparib1+ yearsYesYescarboplatin/paclitaxel; carboplatin/doxil72Alive
7FemalePrimary peritoneal cancer6575Olaparib1.5 yearsYesYescarboplatin/paclitaxel; carboplatin/gemcitabine75Deceased
8FemaleFallopian tube cancer6768Olaparib9 monthsYesYes (MSH6 mutation)carboplatin/paclitaxel68Deceased
9FemaleOvarian cancer6265Rucaparib18 monthsYesYescarboplatin/paclitaxel66Deceased
Clinical features (n = 9). In two patients the cumulative duration of PARP inhibitor therapy was greater than 2 years, and all stopped the PARP inhibitor because of a myeloid neoplasm. The median time from initiation of the PARP inhibitor to diagnosis of a myeloid neoplasm was 19 months (range: 4, 56 months), and, incidentally, from initiation of chemotherapy to the myeloid neoplasm 68 months (range: 16, 121 months). Four patients are deceased with a median survival of 0.9 months (range: 0.9 to 3 months). Among those alive, the median survival was 18 months (range: 11, 35 months).

Peripheral blood and BM findings

In all nine patients, bicytopenia or pancytopenia was observed (Table 2). The four MDS cases (patients 1–4) included one with excess blasts-1, two with ring sideroblasts and multilineage dysplasia, and one with single lineage dysplasia. The five AML cases (patients 5–9) included two with morphologic features of pure erythroid leukemia, one with acute monocytic leukemia, and two with AML not otherwise specified.
Table 2

Peripheral blood, bone marrow, cytogenetic and molecular genetic findings of patients diagnosed with myelodysplastic syndrome or acute myeloid leukemia.

Patient number123456789
Peripheral blood
Hemoglobin (g/L)133108961008889788383
MCV (fL)100.0112.893.6100.089.4109.2105.798.495.5
ANC (×109/L)1.320.8334.022.241.360.791.310.4590.288
Platelets (×109/L)6421040201338881930
Blasts (%)0<1<110<105–19>20
Bone marrow
CellularityNormalHypocellularHypercellularHypercellularHypercellularHypercellularHypercellularHypercellularHypercellular
Dyserythropoiesis (%)<10<1011–50<10<1011–50>50Too fewNo
Ring sideroblasts (%)5–140>1500>15<55–14NA
Dysgranulopoiesis (%)<10No11–50<1011–50<10<10NoToo few
Dysmegakaryopoiesis (%)10–50>50No>5010–50No10–50>50No
Bone marrow blasts (%)<55–9<5<52010–19<5>20>20
Pathologic diagnosist-MN, MDS-RS-MLDt-MN, MDS-EB1t-MN, MDS-RS-MLDt-MN, MDS-SLDt-MN, acute monocytic leukemiat-MN, pure erythroid leukemiat-MN, pure erythroid leukemiat-MN, AML NOSt-MN, AML NOS
Conventional chromosome analysis45-46,XX,-5, add(6)(p21.3), der(7)t(7;10)(q32;q11.2),-9,-10,-12, add(21)(p11.1), +2-4mar[cp4]/ 46,XX[16]45,XX,inv(3)(q2q26.2),-7[5/44, sl,dic(18;21) (p11.1;p11.1)[4]/ 46,XX[11]44-46,XX,-4, add(5)(q31),+8,add(8)(p11.2), -10, inv(14)(q22q32),add(16)(q12), add(16)(q12),-18,der(19)t(18;19)(q11.2;p13.1),-20, +2-4mar[cp13]/ 45-46,idem,-8,+i(18)(q10),-der(19)t(18;19)(q11.2;p13.1),+idic(22)(q10), +2-3mar[cp6]/ 46,XX[1]45,XX, der(17;20)(q10; p10)[1]/46,sl, del(5)(q22q35), del(7)(q22),+8[8]/46,XX[3]46,XX t(9;11)(p22;q23)[11]/ 46,XX,idem, del(6)(p23)[7]/46,XX[2]40-44,XX,-5,der(6;17)(q10;q10),inv(6)(p23q13),t(12;21)(q13;q22), add(13)(q12),dic(14;?)(p13;?), −16,−18,−19, add(22)(q13), +0-1mar[cp19]/ 46,XX[1]44-47,X, add(X)(p22.3),5, add(5)(p13), der(5;7)(p10;q10), add(7)(q32), der(7;19)(q10;q10),+8,+add(9)(q13), der(16)add(16) (p11.2)add(16)(q22), -19,+0-4mar[cp14]/46,XX[6]42,XX,del(5)(q15q33),-7, add(10)(p11.2),add(10)(q22),11,add(11)(q23, add(12)(p11.2), der(14;17)(q10;q10),-16[20]69-74,XX,+1, add(1)(q21),+2,+4,+5,+6,+6,+7, add(7)(q11.2),+8,+8,+9,+10, +11,+12,+13,+13,+14,+15,+17, +17,+18,+18,+19,+20,+20,+21, +22, +0-2mar[cp19]/ 46,XX[1]
FISHNot doneNot donea80% = 5q-, 20q-, 9% = +831% = TP53- (only probe)b88.6% = MLLT3/MLL(KMT2A) fusionb85% = 5q-, TP53- (partial), 6p-, -16, RUNX1×3, 9.5% = MLLx3 intact, 5% = RPN1 and MECOM x3Not doneb35% = 5q-, -7, TP53-, NORMAL MLL(KMT2A)b91% = MLL(KMT2A) amplification, 85% = near tetraploid
Next generation sequencingDouble TP53 mutations Chr17(GRCh37):g.7578394T>C; NM_000546.4(TP53):c.536A>G; p.His179Arg (12%) Chr17(GRCh37):g.7579331G>C; NM_000546.4(TP53):c.356C>G; p.Ala119Gly (11%)1. DNMT3A: Chr2(GRCh37):g.25457243G>A; NM_022552.4(DNMT3A):c.2644C>T; p.Arg882Cys (20%) 2. GATA1: ChrX(GRCh37):g.48649565C>T; NM_002049.3(GATA1):c.49C>T; p.Gln17* (16%) 3. RUNX1: Chr21(GRCh37):g.36252853_36252868dup; NM_001754.4(RUNX1):c.494_508+1dup; p.? (10%)Double TP53 mutations Chr17(GRCh37):g.7578457C>T; NM_000546.4(TP53):c.473G>A; p.Arg158His (45%) Chr17(GRCh37):g.7578403C>T; NM_000546.4(TP53):c.527G>A; p.Cys176Tyr (44%)1. DNMT3A: Chr2(GRCh37):g.25468170del; NM_022552.4(DNMT3A):c.1506del; p.Thr503Profs*148 (41%) 2. TP53: Chr17(GRCh37):g.7577106G>A; NM_000546.4(TP53):c.832C>T; p.Pro278Ser (46%)No pathogenic mutations detectedTP53: Chr17(GRCh37):g.7578190T>C; NM_000546.4(TP53):c.659A>G; p.Tyr220Cys (69%).Not donecTP53: Chr17(GRCh37):g.7579573del; NM_000546.4(TP53):c.114del; p.Ala39Glnfs*5 (23%)cTP53: Chr17(GRCh37):g.7578280G>A; NM_000546.4(TP53):c.569C>T; p.Pro190Leu (97%)

MCV mean corpuscular volume, ANC absolute neutrophil count, t-MN therapy-related myeloid neoplasm, MDS-RS-MLD myelodysplastic syndrome with ring sideroblasts and multilineage dysplasia, MDS-EB1 myelodysplastic syndrome with excess blasts-1, MDS-SLD myelodysplastic syndrome with single lineage dysplasia, AML NOS acute myeloid leukemia, not otherwise specified.

aMDS FISH Panel: inversion of chromosome 3/t(3;3) (RPN1/MECOM); -5/5q-, -7/7q-, trisomy 8, -17/17p-, and 20q-.

bAML FISH Panel: inversion of chromosome 3/t(3;3) (RPN1/MECOM); -5/5q-, -7/7q-, 13q-, -17/17p-, 20q-, trisomy 8, rearrangements of MLL(KMT2A), NUP98, and several translocations: t(6;9)(DEK;CAN), t(8;21)(RUNX1T1;RUNX1), t(15;17)(PML;RARA), t(8;16)(KAT6A;CREBBP), t(9;22)(ABL1;BCR), and t(3;5)(MLF1;NPM1).

cFor patients 8 and 9, a smaller 11-gene panel was interrogated.

Peripheral blood, bone marrow, cytogenetic and molecular genetic findings of patients diagnosed with myelodysplastic syndrome or acute myeloid leukemia. MCV mean corpuscular volume, ANC absolute neutrophil count, t-MN therapy-related myeloid neoplasm, MDS-RS-MLD myelodysplastic syndrome with ring sideroblasts and multilineage dysplasia, MDS-EB1 myelodysplastic syndrome with excess blasts-1, MDS-SLD myelodysplastic syndrome with single lineage dysplasia, AML NOS acute myeloid leukemia, not otherwise specified. aMDS FISH Panel: inversion of chromosome 3/t(3;3) (RPN1/MECOM); -5/5q-, -7/7q-, trisomy 8, -17/17p-, and 20q-. bAML FISH Panel: inversion of chromosome 3/t(3;3) (RPN1/MECOM); -5/5q-, -7/7q-, 13q-, -17/17p-, 20q-, trisomy 8, rearrangements of MLL(KMT2A), NUP98, and several translocations: t(6;9)(DEK;CAN), t(8;21)(RUNX1T1;RUNX1), t(15;17)(PML;RARA), t(8;16)(KAT6A;CREBBP), t(9;22)(ABL1;BCR), and t(3;5)(MLF1;NPM1). cFor patients 8 and 9, a smaller 11-gene panel was interrogated. The BM was hypercellular in seven cases, normocellular in one MDS case, and hypocellular in one MDS case. Dysmegakaryopoiesis was observed in three of four MDS cases (Table 2) and three of the five AML cases. Abnormally small megakaryocytes with hypolobate nuclei were the predominant morphology. Clear-cut dysgranulopoiesis was less common, observed in only two cases. Outside of the two pure erythroid leukemia cases (patients 6 and 7), unequivocal dyserythropoiesis was seen in one case. In eight cases in which an iron stain had been performed, ring sideroblasts were detected in two MDS and three AML cases (Table 2).

Cytogenetics

Conventional chromosome analysis showed that all except patient 5 had a complex karyotype (Table 2). Except for patients 4 and 9, six of eight patients with a complex karyotype also met the definition of a monosomal karyotype, as defined by Kayser et al [5]. Among all nine patients, the most common abnormalities were -5 or a structural abnormality that resulted in 5q- and -7 or structural abnormalities resulting in 7q-. Loss of 17p was observed in three patients (patients 4, 6, 8), all of which represented biallelic inactivation of TP53 when investigated further by fluorescence in situ hybridization (FISH) (Table 2).

Molecular genetics

Mutation profiling by a 42-gene NGS panel was performed in two of five AML and in all four MDS cases; in two AML cases (patients 8, 9), a focused 11-gene panel was employed. Pathogenic alterations involving the TP53 gene were detected in three of four MDS patients and in three of four AML patients (Table 2). Despite ring sideroblasts in patients 1, 3, 6, and 7, no pathogenic alterations of the SF3B1 gene were identified. For patient 8 in whom ring sideroblasts were detected, the smaller 11-gene NGS panel did not include SF3B1. In all patients with TP53 mutations, we observed double mutations (patients 1 and 3), a VAF consistent with loss of heterozygosity (patient 9), or biallelic inactivation by FISH analysis (patients 4, 6, 8). In five of six patients (patients 1, 3, 6, 8, 9), TP53 was the only gene affected. In patient 4, a concurrent pathogenic DNMT3A gene alteration was identified. Most TP53 mutations were missense variants in the DNA binding domain with one frameshift variant in the transactivating domain. To our knowledge, this is the first comprehensive report of the pathologic and genetic characteristics of myeloid malignancies in patients treated with PARP inhibitors. Two findings are especially striking: 1) complex karyotypes with frequent involvement of chromosomes 5 and 7 with a prevalence of a monosomal karyotype and 2) the frequent occurrence of pathogenic TP53 mutations, with TP53 often the sole gene affected either as biallelic inactivation or double mutations. Although dysmegakaryopoiesis was frequently observed, we observed no unique morphologic features in this series. The NGS panel employed for this study did not include PPM1D; otherwise, our observations corroborate the molecular findings reported by Martin and others [6]. Complex karyotypes, frequent TP53 mutations [7, 8] and disconnect between ring sideroblasts and SF3B1 mutations [9, 10] distinguish PARP inhibitor-associated myeloid neoplasms from de novo neoplasms [11, 12]. These characteristics seem directly tied to the mechanism of action: PARP inhibitors prevent the repair of DNA single-stranded breaks and thereby give rise to double stranded breaks, so-called synthetic lethality. When these drugs cause major disruptions in genomic stability—often in patients who have BRCA mutations and others prone to such genomic instability—it is not surprising that the myeloid malignancies diagnosed after exposure to a PARP inhibitor demonstrate chromosomal instability and frequent alterations selectively involving the DNA-damage response gene TP53. Although it is less clear whether PARP inhibitor-associated myeloid neoplasms differ from other therapy-related myeloid neoplasms, three points suggest differences. First, unlike studies of therapy-related myeloid neoplasms in which a median of three gene mutations were observed [11], here, TP53 gene alterations were the only mutated gene in most cases. Second, TP53 gene mutations in 75% of these patients are higher than the 30–40% frequency reported in other therapy-related myeloid neoplasms [11, 12]. Moreover, through biallelic inactivation, loss of heterozygosity, or double TP53 mutations suggestive of biallelic inactivation, the TP53 gene appears at higher risk for inactivation with PARP inhibitors. Although the small number of patients in this series precludes a definitive determination, our findings raise the question of a more central role of TP53 gene alterations in PARP inhibitor-associated myeloid neoplasms, particularly in these types of patients, some of whom harbor BRCA mutations or other underlying defect(s) in DNA repair mechanisms. Third, in contrast to other agents, such as alkylators, which lead to the development of myeloid malignancies within 5–10 years, PARP inhibitors appear to lead to a relatively rapid development of myeloid neoplasms, as suggested by a cumulative exposure to PARP inhibitors of under 5 years and continued use of PARP inhibitor up until the diagnosis of a myeloid neoplasm. These observations suggest that PARP inhibitor-associated myeloid neoplasms merit attention as a specific entity of therapy-related myeloid neoplasms. This case series has limitations. First, without information on TP53 alterations as clonal hematopoiesis of indeterminate potential (CHIP) mutations prior to PARP inhibitor exposure, we cannot exclude expansion of pre-existing CHIP mutations as a contributor to myeloid neoplasms following PARP inhibitors [13]. Only a longitudinal study could assess whether CHIP or other gene alterations predispose to these myeloid neoplasms. Second, the NGS panels employed were geared towards myeloid cancers with only a limited number of cancer-predisposing genes such as DDX41 and PTPN11 interrogated but not others such as CHEK2 and RTEL1. Given recent observations of a high likelihood of an underlying cancer predisposition germline variant among patients with two or more cancers [14], a more comprehensive germline and somatic genetic analysis beyond BRCA1/2 mutation testing might be of value in identifying patients at risk for PARP inhibitor-related myeloid neoplasms. Similarly, we cannot exclude delayed synergistic interactions between PARP inhibitors and prior chemotherapy as the cause of myeloid neoplasms, particularly as others have suggested such therapeutic synergy. Third, 6 patients rapidly transitioned to supportive care alone and 3 had only short follow up after chemotherapy for a myeloid malignancy. Further outcome data would be of value. Fourth, this series generated only nine patients, but the study by Morice and others reported 21 of 4533 patients. Thus, these nine patients -- who underwent in-depth clinical, morphologic, cytogenetic, and molecular genetic assessment – provide instructive findings.
  13 in total

1.  Therapy-related myeloid neoplasms following treatment with PARP inhibitors: new molecular insights.

Authors:  J E Martin; S Khalife-Hachem; T Grinda; M Kfoury; S Garciaz; F Pasquier; J Vargaftig; M Uzunov; A Belhabri; S Bertoli; S Cotteret; V Vergé; A Renneville; F Rosselli; I Antony-Debre; E Rouleau; F Salviat; O Caron; S Delaloge; P Pautier; G Etienne; C Recher; N Vey; S De Botton; A Leary; C Marzac; J B Micol
Journal:  Ann Oncol       Date:  2021-06-06       Impact factor: 32.976

2.  Myelodysplastic syndrome and acute myeloid leukaemia in patients treated with PARP inhibitors: a safety meta-analysis of randomised controlled trials and a retrospective study of the WHO pharmacovigilance database.

Authors:  Pierre-Marie Morice; Alexandra Leary; Charles Dolladille; Basile Chrétien; Laurent Poulain; Antonio González-Martín; Kathleen Moore; Eileen Mary O'Reilly; Isabelle Ray-Coquard; Joachim Alexandre
Journal:  Lancet Haematol       Date:  2020-12-18       Impact factor: 18.959

3.  Monosomal karyotype in adult acute myeloid leukemia: prognostic impact and outcome after different treatment strategies.

Authors:  Sabine Kayser; Manuela Zucknick; Konstanze Döhner; Jürgen Krauter; Claus-Henning Köhne; Heinz A Horst; Gerhard Held; Marie von Lilienfeld-Toal; Sibylla Wilhelm; Mathias Rummel; Ulrich Germing; Katharina Götze; David Nachbaur; Brigitte Schlegelberger; Gudrun Göhring; Daniela Späth; Carina Morlok; Veronica Teleanu; Arnold Ganser; Hartmut Döhner; Richard F Schlenk
Journal:  Blood       Date:  2011-11-16       Impact factor: 22.113

4.  The mutational burden of therapy-related myeloid neoplasms is similar to primary myelodysplastic syndrome but has a distinctive distribution.

Authors:  Hamish S Scott; Christopher N Hahn; Devendra K Hiwase; Deepak Singhal; Li Yan A Wee; Monika M Kutyna; Rakchha Chhetri; Joel Geoghegan; Andreas W Schreiber; Jinghua Feng; Paul P-S Wang; Milena Babic; Wendy T Parker; Smita Hiwase; Suzanne Edwards; Sarah Moore; Susan Branford; Teodora Kuzmanovic; Nimit Singhal; Raghu Gowda; Anna L Brown; Peer Arts; Luen B To; Peter G Bardy; Ian D Lewis; Richard J D'Andrea; Jaroslaw P Maciejewski
Journal:  Leukemia       Date:  2019-05-14       Impact factor: 11.528

Review 5.  Recent development in the discovery of PARP inhibitors as anticancer agents: a patent update (2016-2020).

Authors:  Uday Kiran Velagapudi; Bhargav A Patel; Xuwei Shao; Sanjai Kumar Pathak; Dana V Ferraris; Tanaji T Talele
Journal:  Expert Opin Ther Pat       Date:  2021-03-12       Impact factor: 6.674

6.  Genomics of therapy-related myeloid neoplasms.

Authors:  Teodora Kuzmanovic; Bhumika J Patel; Srinivasa R Sanikommu; Yasunobu Nagata; Hassan Awada; Cassandra M Kerr; Bartlomiej P Przychodzen; Babal K Jha; Devendra Hiwase; Deepak Singhal; Anjali S Advani; Aziz Nazha; Aaron T Gerds; Hetty E Carraway; Mikkael A Sekeres; Sudipto Mukherjee; Jaroslaw P Maciejewski; Tomas Radivoyevitch
Journal:  Haematologica       Date:  2019-08-14       Impact factor: 11.047

7.  Prognostic interaction between bone marrow morphology and SF3B1 and ASXL1 mutations in myelodysplastic syndromes with ring sideroblasts.

Authors:  Abhishek A Mangaonkar; Terra L Lasho; Christy M Finke; Naseema Gangat; Aref Al-Kali; Michelle A Elliott; Kebede H Begna; Hassan Alkhateeb; Alexandra P Wolanskyj-Spinner; Curtis A Hanson; Rhett P Ketterling; William J Hogan; Animesh Pardanani; Mark R Litzow; Ayalew Tefferi; Mrinal M Patnaik
Journal:  Blood Cancer J       Date:  2018-02-12       Impact factor: 11.037

8.  TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups.

Authors:  Detlef Haase; Kristen E Stevenson; Donna Neuberg; Jaroslaw P Maciejewski; Aziz Nazha; Mikkael A Sekeres; Benjamin L Ebert; Guillermo Garcia-Manero; Claudia Haferlach; Torsten Haferlach; Wolfgang Kern; Seishi Ogawa; Yasunobu Nagata; Kenichi Yoshida; Timothy A Graubert; Matthew J Walter; Alan F List; Rami S Komrokji; Eric Padron; David Sallman; Elli Papaemmanuil; Peter J Campbell; Michael R Savona; Adam Seegmiller; Lionel Adès; Pierre Fenaux; Lee-Yung Shih; David Bowen; Michael J Groves; Sudhir Tauro; Michaela Fontenay; Olivier Kosmider; Michal Bar-Natan; David Steensma; Richard Stone; Michael Heuser; Felicitas Thol; Mario Cazzola; Luca Malcovati; Aly Karsan; Christina Ganster; Eva Hellström-Lindberg; Jacqueline Boultwood; Andrea Pellagatti; Valeria Santini; Lynn Quek; Paresh Vyas; Heinz Tüchler; Peter L Greenberg; Rafael Bejar
Journal:  Leukemia       Date:  2019-01-11       Impact factor: 12.883

9.  Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis.

Authors:  Rong He; Daniel J Devine; Zheng Jin Tu; Ming Mai; Dong Chen; Phuong L Nguyen; Jennifer L Oliveira; James D Hoyer; Kaaren K Reichard; Paul L Ollila; Aref Al-Kali; Ayalew Tefferi; Kebede H Begna; Mrinal M Patnaik; Hassan Alkhateeb; David S Viswanatha
Journal:  Mod Pathol       Date:  2019-08-30       Impact factor: 7.842

10.  Cancer therapy shapes the fitness landscape of clonal hematopoiesis.

Authors:  Ryan N Ptashkin; Teng Gao; Ahmet Zehir; Elli Papaemmanuil; Kelly L Bolton; Lior Braunstein; Sean M Devlin; Daniel Kelly; Minal Patel; Antonin Berthon; Aijazuddin Syed; Mariko Yabe; Catherine C Coombs; Nicole M Caltabellotta; Mike Walsh; Kenneth Offit; Zsofia Stadler; Diana Mandelker; Jessica Schulman; Akshar Patel; John Philip; Elsa Bernard; Gunes Gundem; Juan E Arango Ossa; Max Levine; Juan S Medina Martinez; Noushin Farnoud; Dominik Glodzik; Sonya Li; Mark E Robson; Choonsik Lee; Paul D P Pharoah; Konrad H Stopsack; Barbara Spitzer; Simon Mantha; James Fagin; Laura Boucai; Christopher J Gibson; Benjamin L Ebert; Andrew L Young; Todd Druley; Koichi Takahashi; Nancy Gillis; Markus Ball; Eric Padron; David M Hyman; Jose Baselga; Larry Norton; Stuart Gardos; Virginia M Klimek; Howard Scher; Dean Bajorin; Eder Paraiso; Ryma Benayed; Maria E Arcila; Marc Ladanyi; David B Solit; Michael F Berger; Martin Tallman; Montserrat Garcia-Closas; Nilanjan Chatterjee; Luis A Diaz; Ross L Levine; Lindsay M Morton
Journal:  Nat Genet       Date:  2020-10-26       Impact factor: 41.307

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