Literature DB >> 27080012

GFI1(36N) as a therapeutic and prognostic marker for myelodysplastic syndrome.

Lacramioara Botezatu1, Lars C Michel1, Hideki Makishima2, Thomas Schroeder3, Ulrich Germing3, Rainer Haas3, Bert van der Reijden4, Anne E Marneth4, Saskia M Bergevoet4, Joop H Jansen4, Bartlomiej Przychodzen2, Marcin Wlodarski5, Charlotte Niemeyer5, Uwe Platzbecker6, Gerhard Ehninger6, Ashwin Unnikrishnan7, Dominik Beck7, John Pimanda7, Eva Hellström-Lindberg8, Luca Malcovati9, Jacqueline Boultwood10, Andrea Pellagatti10, Elli Papaemmanuil11, Philipp Le Coutre12, Jaspal Kaeda12, Bertram Opalka1, Tarik Möröy13, Ulrich Dührsen1, Jaroslaw Maciejewski2, Cyrus Khandanpour14.   

Abstract

Inherited gene variants play an important role in malignant diseases. The transcriptional repressor growth factor independence 1 (GFI1) regulates hematopoietic stem cell (HSC) self-renewal and differentiation. A single-nucleotide polymorphism of GFI1 (rs34631763) generates a protein with an asparagine (N) instead of a serine (S) at position 36 (GFI1(36N)) and has a prevalence of 3%-5% among Caucasians. Because GFI1 regulates myeloid development, we examined the role of GFI1(36N) on the course of MDS disease. To this end, we determined allele frequencies of GFI1(36N) in four independent MDS cohorts from the Netherlands and Belgium, Germany, the ICGC consortium, and the United States. The GFI1(36N) allele frequency in the 723 MDS patients genotyped ranged between 9% and 12%. GFI1(36N) was an independent adverse prognostic factor for overall survival, acute myeloid leukemia-free survival, and event-free survival in a univariate analysis. After adjustment for age, bone marrow blast percentage, IPSS score, mutational status, and cytogenetic findings, GFI1(36N) remained an independent adverse prognostic marker. GFI1(36S) homozygous patients exhibited a sustained response to treatment with hypomethylating agents, whereas GFI1(36N) patients had a poor sustained response to this therapy. Because allele status of GFI1(36N) is readily determined using basic molecular techniques, we propose inclusion of GFI1(36N) status in future prospective studies for MDS patients to better predict prognosis and guide therapeutic decisions.
Copyright © 2016 ISEH - International Society for Experimental Hematology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27080012      PMCID: PMC4917888          DOI: 10.1016/j.exphem.2016.04.001

Source DB:  PubMed          Journal:  Exp Hematol        ISSN: 0301-472X            Impact factor:   3.084


GFI1 is a zinc finger transcriptional repressor that recruits histone-modifying enzymes, such as histone deacetylases, to the loci of its target genes 1, 2. GFI1 regulates the functions of hematopoietic stem cells (HSCs) 1, 3 as well as myeloid–lymphoid lineage decisions 4, 5. A variant form of the GFI1 gene (denominated GFI136N) is associated with a predisposition to develop de novo acute myeloid leukemia (AML) [6], but it has also been reported to be involved in a case of neutropenia [7]. Taking into consideration the predisposing role of GFI136N to de novo AML and its role in myeloid development, we investigated the role of GFI136N in myelodysplastic syndrome (MDS).

Methods

Patient cohort

All patient samples (peripheral blood [PB] or bone marrow [BM] aspirates) were obtained with informed consent according to the Declaration of Helsinki. The respective local ethics committees approved the use of all patient samples. The clinical characteristics of patients with a confirmed diagnosis of MDS used in this study have been previously described 8, 9, 10, 11, 12, 13. Events in “event-free survival” were defined as death from any cause or progression of MDS to AML with blast counts higher than 20%. Overall survival events are defined as death from any cause.

Bone marrow morphology and cytopenia classification

Bone marrow morphology studies were performed at individual centers. MDS was classified based on the World Health Organization (WHO) definition [14].

Genotyping

Genotyping was performed according to published procedures [6].

Statistical methods

Significance of differences in percentages was determined using the two-sided, two-sample t test. Survival of the different human cohorts is based on the presence of GFI136N univariate analysis using Kaplan–Meier survival methods. Differences were assessed using the log-rank (Mantel–Cox) test. We used Cox proportional-hazards regression modeling to determine the influence of different factors with respect to survival. Factors taken into account were International Prognostic Scoring System (IPSS) risk group, BM blast count, age, sex, cytogenetic findings (based on IPSS classification), and in a last step, presence of GFI136N. Analyses were performed either separately (with each factor analyzed independently) or with the presence or absence of GFI136N. All p values reported are two-sided. Because of the exploratory nature of this study, no adjustment for multiple testing was done. All analyses presented were performed using GraphPad Prism 6 software (GraphPad Software, La Jolla, CA) or SPSS Version 19 (IBM, Armonk, NY).

Results

Between 9% and 12% of all adult MDS patients in four different Caucasian cohorts from Europe and the United States 8, 9, 10, 11, 12 were heterozygous for GFI136N, and only two patients from the European cohorts (and none of the U.S. cohort) were homozygous for GFI136N (Table 1). GFI136N allele frequency was higher among MDS patients than among the control cohort (3%–5%) as reported in our previous study regarding the role of GFI136N in de novo AML [15]. Although we did not determine the frequency of GFI136N among sex- and age-matched control subjects from every region, it is possible that GFI136N predisposes to MDS, similar to its predisposing role in de novo AML [15].
Table 1

Features of GFI136N- and GFI136S-carrying adult MDS patientsa

GFI136N (homo [2 patients]- or heterozygous)GFI136S (homozygozus)P value
% All countries10 (n = 75)90 (n = 648)
% United States11 (n = 30)89 (n = 254)
% Germany9 (n = 20)91 (n = 193)
% Netherlands and Belgium12 (n = 11)88 (n = 84)
% ICGC11 (n = 14)89 (n = 117)
Mean age66 ± 1.5 (n = 73)62 ± 0.6 (n = 638)0.01
Gender (% male)64 (n = 47)66 (n = 426)0.7
Blast percentage (BM) WHO9.4 ± 0.3 (n = 48)6.7 ± 1.1 (n = 464)0.01
Hemoglobin (mg/dL)8.4 ± 0.5 (n = 24)8.1 ± 0.1 (n = 191)0.57
Platelet count (1/nL)186 ± 37 (n = 24)177 ± 11 (n = 195)0.8
Neutrophil count (1/nL)2.8 ± 0.8 (n = 24)2.7 ± 0.2 (n = 196)0.9
Cytogenetic low risk (%)46 (n = 27)62 (n = 246)0.03
Cytogenetic intermediate risk (%)14 (n = 8)16 (n = 64)0.5
Cytogenetic high risk (%)41 (n = 24)24 (n = 96)0.006
IPSS low (%)25 (n = 13)25 (n = 127)0.7
IPSS intermediate 1 (%)40 (n = 38)42 (n = 323)0.7
IPSS intermediate 2 (%)21 (n = 11)21 (n = 109)0.7
IPSS high (%)15 (n = 8)10 (n = 52)0.25
5q– (%)5 (n = 2)4 (n = 13)0.8
RA (%)0 (n = 0)9 (n = 30)0.054
RARS+ RARST (%)11 (n = 4)9 (n = 28)0.7
RAEB-1 (%)22 (n = 8)18 (n = 59)0.65
RAEB-2 (%)39 (n = 15)22 (n = 69)0.02
RAEB-1 + RAEB-2 (%)61 (23)40 (128)0.01
RCMD (%)24 (n = 9)38 (n = 123)0.09
MDS-u (%)01 (n = 4)0.5

BM = bone marrow; ICGC = International Cancer Genome Consortium; WHO = World Health Organization.

GFI136N includes patients who are either homozygous or heterozygous for GFI136N and, thus, carrying one GFI136S allele. GFI136S refers to patients homozygous for GFI136S. Cytogenetic low risk: normal karyotype, 5q–, 20q–, –Y; poor risk: complex aberrations (≥3 anomalies), chromosome 7 anomalies; intermediate risk: all other aberrations. IPSS was based on Greenberg et al. [17]. Refractory anemia (RA), refractory anemia with ring sideroblasts (RARS), refractory anemia with excess blasts, type 1 (RAEB-1), refractory anemia with excess blasts, type 2 (RAEB-2), refractory cytopenia with multilineage dysplasia (RCMD), and MDS-unclassified (MDS-u) are based on the WHO definition for MDS. Standard errors of mean are given. Data for IPPS and cytogenetic classification are missing due to the lack of cytogenetic information on patients at the time of diagnosis. Data for histologic classification are missing because of the missing specification of MDS according to WHO criteria. The missing patients were diagnosed as having MDS according to the WHO definition. Student's t test was used to determine the significance of values, and two-sample t tests were used to determine the significance of differences between percentages. The different cohorts were independent of each other. No overlap exists with respect to samples. The numbers in parentheses correspond to the absolute numbers related to the indicated percentages.

We analyzed the effect of GFI136N on MDS disease course in two independent cohorts. Patients were recruited and treated either in the United States or in Europe. The European cohorts consisted of patients recruited and treated at different centers in Germany, Belgium, and The Netherlands 8, 9, 10, 11, 12. The U.S. cohorts were referred to the Cleveland Clinic. In the two MDS cohorts from Europe and the United States, presence of GFI136N was associated with an inferior event-free survival rate (Fig. 1A, B). GFI136N also had a negative impact on overall survival (Fig. 1C, D) and on AML-free survival (data not shown).
Figure 1

Correlation between GFI136N and disease course of patients with MDS. (A) Patients from different European cohorts diagnosed with MDS on the basis of WHO criteria were genotyped with respect to the presence of GFI136N and examined with respect to median event-free survival (see also Methods); 95% confidence interval (CI) = 1.6–5.6. Median survival is indicated. (B) MDS Patients from a U.S. cohort diagnosed with MDS on the basis of WHO criteria were genotyped with respect to the presence of GFI136N and examined with respect to median event-free survival; 95% CI = 1.7–7.2. Median survival is indicated. (C) The same cohorts as in (A) were examined with respect to overall survival (death of any cause); 95% CI = 1.0–3.9. Median survival is indicated. (D) The same cohort as in (B) was examined with respect to overall survival (death from any cause) 95% CI = 1.5–5.8. Median survival is indicated. (E) Event-free survival of GFI136S homozygous patients was stratified based on IPSS classification. No sufficient follow-up was available for the International Cancer Genome Consortium (ICGC) patients. Follow-up is based on the patient cohorts from the United States, the Netherlands, Belgium, and Germany. Median survival is indicated. (F) Event-free survival of GFI136N homozygous or heterozygous patients was stratified based on IPSS classification. No sufficient follow up was available for the ICGC patients. Follow-up is based on the patient cohorts from the United States, the Netherlands, Belgium, and Germany. Median survival is indicated. (G) Event-free survival of patients (shown in A) classified as either IPSS subtype low or intermediate 1 (int-1) was stratified with respect to the presence of GFI136N; 95% CI = 1.4–6.2. (H) Patients from the U.S. and European cohorts with cytogenetic risk characteristics belonging to subtype “low” were stratified by the presence of GFI136N with respect to event-free survival; 95% CI = 1.5–5.7. Median survival is indicated. (I) Patients from the U.S. and European cohorts with cytogenetic risk characteristics belonging to subtype “intermediate” or “high” were stratified by presence of GFI136N with respect to event-free survival; 95% CI = 3.3–23.3. Median survival is indicated.

Next, we examined the association between GFI136N and established prognostic factors. GFI136N carriers were older, exhibited a tendency toward higher BM blast counts at diagnosis, were diagnosed with a more advanced stage of the disease according to histologic parameters, and had more adverse cytogenetic findings (Table 1). With respect to key blood parameters, no other differences between GFI136N and GFI136S carriers were observed (Table 1). American and European GFI136S homozygous patients had median follow-ups of 1,100 and 975 days, respectively. American and European GFI136N carriers had median follow-ups of 540 and 350 days, respectively. To gain more statistical power and to perform more specific analysis, we combined the U.S. and European cohorts. One approach used to predict outcome of MDS patients is based on IPSS 16, 17. A recently introduced, revised version of IPSS (denominated IPSS-R) distinguishes between more subclasses based on cytogenetic findings and cytopenic lineages [16]. However, not all of the specific data for determining IPSS-R status were present in our databases. Therefore, we focused our examination on the nonrevised version of IPSS. As reported previously [17], IPSS scoring predicted event-free outcome of GFI136S homozygous patients (Fig. 1E). On the basis of the same scoring system, GFI136N carriers had a significantly shorter event-free survival (Fig. 1F). Especially among MDS patients in the low-risk groups (groups low and intermediate 1 based on IPSS), GFI136N carriers had a much shorter event-free (Fig. 1G) and AML-free survival (data not shown) than GFI136S homozygous patients. We also examined the association between allele status, cytogenetic findings and event-free survival. Similarly, presence of GFI136N was associated with an inferior outcome, independent of the cytogenetic finding (Table 1). After stratification for cytogenetic risk groups (“low” as one group and “intermediate and high” as a second group), the presence of a GFI136N allele was again linked to inferior event-free survival (Fig. 1H, I) in both comparisons. MDS patients with somatic mutations within EZH2 or ASXL1 have an inferior prognosis 18, 19 (Fig. 2A, B). Presence of GFI136N in the absence of ASXL1 or EZH2 mutations had a similar effect on event-free survival as the presence of ASXL1 or EZH2 mutations (Fig. 2C, D). Furthermore, the combined presence of a mutated form of either ASXL1 or EZH2 and a GFI136N allele had an additional adverse effect on event-free survival (Fig. 2C, D). Similar analyses were not possible for mutations of P53 or RUNX1 18, 19, because of the small number of cases with P53 or RUNX1 mutation and GFI136N.
Figure 2

Association between GFI136N, mutational status, prognosis, and therapeutic response. (A) Median event-free survival of patients based on mutational status of ASXL1; 95% confidence interval (CI) = 1.5–5.7. (B) Median event-free survival of patients based on mutational status of EZH2; 95% CI = 3.4–23.3. (C) Median event-free survival of patients based on presence of GFI136N and mutational status of ASXL1. (D) Median event-free survival of patients based on presence of GFI136N and mutational status of EZH2. (E) From the cohorts of patients treated in Europe and the United States, patients treated with 5-azacitidine were stratified with respect to GFI1 status. Presence of GFI136N was associated with a shorter response. Median survival is indicated; 95% CI = 1.1–10.5.

Because MDS patients who are hetero- or homozygous for GFI136N tend to be older at diagnosis, have more frequent adverse cytogenetic findings, and have a higher blast cell count at diagnosis, we examined whether the presence of GFI136N represents an adverse prognostic factor after adjusting for these findings. We found that GFI136N was an independent marker after adjusting for the variables IPSS score, cytogenetic findings, and age, either alone or in combination (Supplementary Table E1, Supplementary Table E2, online only, available at www.exphem.org).
Supplementary Table E1

Cox survival regression adjusted for IPSSa

VariableWald χ2p valueHazard ratio95% CI for hazard ratio
LowerUpper
IPSS77.3810.000
IPSS low13.6990.0000.5040.3500.724
IPSS intermediate 14.6070.0320.7250.5400.972
IPSS intermediate 21.5860.2081.2290.8921.694
IPSS high32.2970.0003.1582.1244.696
GFI136N20.1250.0002.2121.5643.130

CI = confidence interval.

IPSS was defined in four different entities as published (for details, see main text).

Supplementary Table E2

Cox survival regression adjusted for key prognostic factorsa

VariableWald χ2P valueHazard ratio95.0% CI for hazard ratio
LowerUpper
Age4.7610.0291.0101.0011.019
Blast (% BM)7.1410.0081.0451.0121.078
Male0.5180.4721.1110.8341.479
IPSS5.6820.224
IPSS low5.0810.0240.5710.3510.930
IPSS intermediate 12.5610.1100 .7280.4941.074
IPSS intermediate 20.2050.6510.9090.6031.371
IPSS high0.0880.7671.1050.5702.144
Cytogenetic12.2640.007
Cytogenetic good0.1150.7350.8940.4661.713
Cytogenetic intermediate1.0890.2970.6860.3391.392
Cytogenetic poor1.2780 .2581.4690.7542.862
GFI136N10.7200.0012.1541.3613.409

CI = confidence interval.

Cox survival regression adjusted for age, blast count, sex, IPSS, cytogenetic finding, and as a last step, presence of GFI136N (see main text for more information).

Discussion

One possible explanation why GFI136N accelerates AML development in MDS patients could be based on our findings using murine models. We previously generated mice expressing GFI136N or GFI136S instead of murine Gfi1 [15]. We reported that GFI136N is not able to bind to its target genes to the same extent as the more common “wild-type” GFI136S variant. Hence, presence of one allele of GFI136N led to higher genomewide levels of acetylated histone 3 at lysine 9 (H3K9) at Gfi1 target genes. This led to active expression of genes favoring development of myeloid malignancies [15], which could explain how GFI136N accelerates both AML development and MDSAML progression. We recently reported that a low level of GFI1 expression, which might mimic the presence of GFI136N on a functional level, accelerates AML progression in different murine models of AML, including one model of MDS [20]. It is not yet clear why altering one amino acid changes the function of GFI1, and initial experiments regarding expression level, stability, ability to induce apoptosis, or interaction with histone deacetylases (HDACs) or lysine-specific demethylase 1 (LSD1) did not reveal any significant differences between GFI136N and GFI136S [15] (unpublished data). We also examined whether GFI136N could predict response to therapy. To explore this in more detail, we focused on patients that were treated with 5-azacitidine. This treatment is used for patients who are otherwise not fit for allogeneic bone marrow transplantation or as a bridging to a definitive therapy 21, 22, 23. There was no difference between GFI136N heterozygous carriers and GFI136S patients achieving response to treatment with 5-azacytidine (51% of GFI136S homozygous carriers compared with 52% of GFI136N carriers). However, the response to treatment was much shorter in GFI136N carriers than in GFI136S homozygous carriers (Fig. 2E). This observation is not surprising because treatment with hypomethylating agents, such as 5-azacitidine, would not revert the increased levels of H3K9 acetylation and H3K4 methylation seen in cells with a GFI136N allele [15]. The suitability of GFI136N as a prognostic marker should be verified in prospective studies and, if the findings can be confirmed, the status of GFI136N should be determined routinely in MDS patients. Considering the role of GFI1 in myeloid development, GFI136N status could also be of prognostic value for patients with myeloproliferative diseases and chronic myeloid leukemia. Indeed, the frequency of GFI136N is also elevated among patients with chronic myeloid leukemia. In summary, GFI136N could be a useful therapeutic and prognostic marker for myeloid malignancies.
  23 in total

1.  Phase 2 study of oral panobinostat (LBH589) with or without erythropoietin in heavily transfusion-dependent IPSS low or int-1 MDS patients.

Authors:  U Platzbecker; H K Al-Ali; N Gattermann; D Haase; V Janzen; J Krauter; K Götze; R Schlenk; F Nolte; A Letsch; O G Ottmann; A Kündgen; M Lübbert; U Germing; M Wermke; H Reinhard; C Weiss; K Lieder; G Ehninger; O Leismann; A Giagounidis
Journal:  Leukemia       Date:  2013-11-04       Impact factor: 11.528

2.  World Health Organization classification of neoplastic diseases of the hematopoietic and lymphoid tissues: report of the Clinical Advisory Committee meeting-Airlie House, Virginia, November 1997.

Authors:  N L Harris; E S Jaffe; J Diebold; G Flandrin; H K Muller-Hermelink; J Vardiman; T A Lister; C D Bloomfield
Journal:  J Clin Oncol       Date:  1999-12       Impact factor: 44.544

Review 3.  Gfi1 and Gfi1b: key regulators of hematopoiesis.

Authors:  L T van der Meer; J H Jansen; B A van der Reijden
Journal:  Leukemia       Date:  2010-09-23       Impact factor: 11.528

4.  Clinical effect of point mutations in myelodysplastic syndromes.

Authors:  Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2011-06-30       Impact factor: 91.245

5.  Mosaic tetraploidy and transient GFI1 mutation in a patient with severe chronic neutropenia.

Authors:  Jessica C Hochberg; Patricia M Miron; Beverly N Hay; Bruce A Woda; Sa A Wang; Monika Richert-Przygonska; Andrew A G Aprikyan; Peter E Newburger
Journal:  Pediatr Blood Cancer       Date:  2008-03       Impact factor: 3.167

6.  Gfi-1 restricts proliferation and preserves functional integrity of haematopoietic stem cells.

Authors:  Hanno Hock; Melanie J Hamblen; Heather M Rooke; Jeffrey W Schindler; Shireen Saleque; Yuko Fujiwara; Stuart H Orkin
Journal:  Nature       Date:  2004-09-29       Impact factor: 49.962

7.  Gfi1 integrates progenitor versus granulocytic transcriptional programming.

Authors:  Shane R Horman; Chinavenmeni S Velu; Aditya Chaubey; Tristan Bourdeau; Jinfang Zhu; William E Paul; Brian Gebelein; H Leighton Grimes
Journal:  Blood       Date:  2009-04-03       Impact factor: 22.113

8.  Acquired mutations in TET2 are common in myelodysplastic syndromes.

Authors:  Saskia M C Langemeijer; Roland P Kuiper; Marieke Berends; Ruth Knops; Mariam G Aslanyan; Marion Massop; Ellen Stevens-Linders; Patricia van Hoogen; Ad Geurts van Kessel; Reinier A P Raymakers; Eveline J Kamping; Gregor E Verhoef; Estelle Verburgh; Anne Hagemeijer; Peter Vandenberghe; Theo de Witte; Bert A van der Reijden; Joop H Jansen
Journal:  Nat Genet       Date:  2009-05-31       Impact factor: 38.330

9.  New comprehensive cytogenetic scoring system for primary myelodysplastic syndromes (MDS) and oligoblastic acute myeloid leukemia after MDS derived from an international database merge.

Authors:  Julie Schanz; Heinz Tüchler; Francesc Solé; Mar Mallo; Elisa Luño; José Cervera; Isabel Granada; Barbara Hildebrandt; Marilyn L Slovak; Kazuma Ohyashiki; Christian Steidl; Christa Fonatsch; Michael Pfeilstöcker; Thomas Nösslinger; Peter Valent; Aristoteles Giagounidis; Carlo Aul; Michael Lübbert; Reinhard Stauder; Otto Krieger; Guillermo Garcia-Manero; Stefan Faderl; Sherry Pierce; Michelle M Le Beau; John M Bennett; Peter Greenberg; Ulrich Germing; Detlef Haase
Journal:  J Clin Oncol       Date:  2012-02-13       Impact factor: 44.544

10.  Clinical and biological implications of driver mutations in myelodysplastic syndromes.

Authors:  Elli Papaemmanuil; Moritz Gerstung; Luca Malcovati; Sudhir Tauro; Gunes Gundem; Peter Van Loo; Chris J Yoon; Peter Ellis; David C Wedge; Andrea Pellagatti; Adam Shlien; Michael John Groves; Simon A Forbes; Keiran Raine; Jon Hinton; Laura J Mudie; Stuart McLaren; Claire Hardy; Calli Latimer; Matteo G Della Porta; Sarah O'Meara; Ilaria Ambaglio; Anna Galli; Adam P Butler; Gunilla Walldin; Jon W Teague; Lynn Quek; Alex Sternberg; Carlo Gambacorti-Passerini; Nicholas C P Cross; Anthony R Green; Jacqueline Boultwood; Paresh Vyas; Eva Hellstrom-Lindberg; David Bowen; Mario Cazzola; Michael R Stratton; Peter J Campbell
Journal:  Blood       Date:  2013-09-12       Impact factor: 22.113

View more
  4 in total

Review 1.  Targeting the GFI1/1B-CoREST Complex in Acute Myeloid Leukemia.

Authors:  Maaike G J M van Bergen; Bert A van der Reijden
Journal:  Front Oncol       Date:  2019-10-09       Impact factor: 6.244

2.  Curcumin as an Epigenetic Therapeutic Agent in Myelodysplastic Syndromes (MDS).

Authors:  Xiaoqing Xie; Daria Frank; Pradeep Kumar Patnana; Judith Schütte; Yahya Al-Matary; Longlong Liu; Lanying Wei; Martin Dugas; Julian Varghese; Subbaiah Chary Nimmagadda; Cyrus Khandanpour
Journal:  Int J Mol Sci       Date:  2021-12-30       Impact factor: 5.923

3.  Presence of the GFI1-36N single nucleotide polymorphism enhances the response of MLL-AF9 leukemic cells to CDK4/6 inhibition.

Authors:  Jan Vorwerk; Kaiyan Sun; Daria Frank; Felix Neumann; Jana Hüve; Paulina Marie Budde; Longlong Liu; Xiaoqing Xie; Pradeep Kumar Patnana; Helal Mohammed Mohammed Ahmed; Bertram Opalka; Georg Lenz; Ashok Kumar Jayavelu; Cyrus Khandanpour
Journal:  Front Oncol       Date:  2022-08-08       Impact factor: 5.738

Review 4.  Role of GFI1 in Epigenetic Regulation of MDS and AML Pathogenesis: Mechanisms and Therapeutic Implications.

Authors:  Tarik Möröy; Cyrus Khandanpour
Journal:  Front Oncol       Date:  2019-08-27       Impact factor: 6.244

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.