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EVI1 overexpression is a poor prognostic factor in pediatric patients with mixed lineage leukemia-AF9 rearranged acute myeloid leukemia
Hidemasa Matsuo, Mio Kajihara, Daisuke Tomizawa, Tomoyuki Watanabe, Akiko Moriya Saito, Junichiro Fujimoto, Keizo Horibe, Kumi Kodama, Mayu Tokumasu, Hiroshi Itoh, Hideki Nakayama, Akitoshi Kinoshita, Takashi Taga, Akio Tawa, Tomohiko Taki, Norio Shiba, Kentaro Ohki, Yasuhide Hayashi, Yuka Yamashita, Akira Shimada, Shiro Tanaka, Souichi Adachi
Haematologica November 2014 99: e225-e227; doi:10.3324/haematol.2014.107128
Hidemasa Matsuo
Department of Human Health Sciences, Kyoto University, Japan
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Mio Kajihara
Department of Human Health Sciences, Kyoto University, Japan
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Daisuke Tomizawa
Department of Pediatrics, Tokyo Medical and Dental University (TMDU), Japan
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Tomoyuki Watanabe
Department of Nutritional Science, Aichi Gakuin University, Nisshin, Japan
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Akiko Moriya Saito
Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
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Junichiro Fujimoto
Epidemiology and Clinical Research Center for Children’s Cancer, National Center for Child Health and Development, Tokyo, Japan
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Keizo Horibe
Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
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Kumi Kodama
Department of Human Health Sciences, Kyoto University, Japan
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Mayu Tokumasu
Department of Pediatrics, Kyoto University, Japan
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Hiroshi Itoh
Department of Human Health Sciences, Kyoto University, Japan
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Hideki Nakayama
Department of Pediatrics, National Hospital Organization Fukuoka-Higashi Medical Center, Koga, Japan
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Akitoshi Kinoshita
Department of Pediatrics, St. Marianna University School of Medicine, Kawasaki, Japan
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Takashi Taga
Department of Pediatrics, Shiga University of Medical Science, Otsu, Japan
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Akio Tawa
Department of Pediatrics, National Hospital Organization Osaka National Hospital, Japan
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Tomohiko Taki
Department of Molecular Diagnostics and Therapeutics, Kyoto Prefectural University of Medicine, Japan
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Norio Shiba
Department of Pediatrics, Gunma University Graduate School of Medicine, Maebashi, Japan
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Kentaro Ohki
Department of Hematology and Oncology, Gunma Children’s Medical Center, Shibukawa, Japan
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Yasuhide Hayashi
Department of Hematology and Oncology, Gunma Children’s Medical Center, Shibukawa, Japan
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Yuka Yamashita
Department of Pediatrics, National Hospital Organization Nagoya Medical Center, Japan
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Akira Shimada
Department of Pediatrics, Okayama University Hospitaland, Japan
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Shiro Tanaka
Department of Pharmacoepidemiology, Kyoto University, Japan
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Souichi Adachi
Department of Human Health Sciences, Kyoto University, Japan
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Author Affiliations

  1. Hidemasa Matsuo1,
  2. Mio Kajihara1,
  3. Daisuke Tomizawa2,
  4. Tomoyuki Watanabe3,
  5. Akiko Moriya Saito4,
  6. Junichiro Fujimoto5,
  7. Keizo Horibe4,
  8. Kumi Kodama1,
  9. Mayu Tokumasu6,
  10. Hiroshi Itoh1,
  11. Hideki Nakayama7,
  12. Akitoshi Kinoshita8,
  13. Takashi Taga9,
  14. Akio Tawa10,
  15. Tomohiko Taki11,
  16. Norio Shiba12,
  17. Kentaro Ohki13,
  18. Yasuhide Hayashi13,
  19. Yuka Yamashita14,
  20. Akira Shimada15,
  21. Shiro Tanaka16 and
  22. Souichi Adachi1⇑
  1. 1Department of Human Health Sciences, Kyoto University, Japan
  2. 2Department of Pediatrics, Tokyo Medical and Dental University (TMDU), Japan
  3. 3Department of Nutritional Science, Aichi Gakuin University, Nisshin, Japan
  4. 4Clinical Research Center, National Hospital Organization Nagoya Medical Center, Japan
  5. 5Epidemiology and Clinical Research Center for Children’s Cancer, National Center for Child Health and Development, Tokyo, Japan
  6. 6Department of Pediatrics, Kyoto University, Japan
  7. 7Department of Pediatrics, National Hospital Organization Fukuoka-Higashi Medical Center, Koga, Japan
  8. 8Department of Pediatrics, St. Marianna University School of Medicine, Kawasaki, Japan
  9. 9Department of Pediatrics, Shiga University of Medical Science, Otsu, Japan
  10. 10Department of Pediatrics, National Hospital Organization Osaka National Hospital, Japan
  11. 11Department of Molecular Diagnostics and Therapeutics, Kyoto Prefectural University of Medicine, Japan
  12. 12Department of Pediatrics, Gunma University Graduate School of Medicine, Maebashi, Japan
  13. 13Department of Hematology and Oncology, Gunma Children’s Medical Center, Shibukawa, Japan
  14. 14Department of Pediatrics, National Hospital Organization Nagoya Medical Center, Japan
  15. 15Department of Pediatrics, Okayama University Hospitaland, Japan
  16. 16Department of Pharmacoepidemiology, Kyoto University, Japan
  1. Correspondence: adachiso{at}kuhp.kyoto-u.ac.jp
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The ecotropic viral integration site-1 gene (EVI1) encodes a zinc finger protein that functions as a transcriptional regulator of hematopoietic stem cell self-renewal and long-term multilineage repopulating activity.1,2 The mixed lineage leukemia gene (MLL) rearrangements [i.e. t(11q23)] occur at high frequency in pediatric acute myeloid leukemia (AML) patients with EVI1 overexpression,3 and EVI1 is a transcriptional target of MLL oncoproteins.4 EVI1 overexpression has been reported in up to 10% of patients with AML and is associated with an adverse prognosis. However, the prognostic value of EVI1 overexpression has been studied mostly in adult AML.5–9 Only two studies have examined EVI1 overexpression in pediatric AML, but a detailed analysis according to the type of leukemia was not performed because of the small sample size.3,10

Recent data from an international consortium, including those from our group, suggest that pediatric MLL-rearranged AML can be divided into certain risk groups on the basis of different translocation partners.11 However, clinical outcome data leading to risk stratification of the MLL-rearranged subgroups are still scarce and further investigation is necessary to identify new prognostic factors. Here, we retrospectively examined EVI1 expression levels and clinical outcomes of pediatric MLL-rearranged AML patients treated in the Japanese Pediatric Leukemia/Lymphoma Study Group (JPLSG) AML-05 study.

After excluding patients with acute promyelocytic leukemia, Down syndrome, secondary AML, myeloid/natural killer cell leukemia and myeloid sarcoma, 485 AML patients were enrolled in the AML-05 study. Overall, 42 patients were excluded, mainly because of misdiagnosis. Details of the treatment schedules and risk stratification were described in previous publication.12 This study was conducted in accordance with the principles set down in the Declaration of Helsinki and was approved by the Ethics Committees of all participating institutions. All patients, or the patients’ parents/guardians, provided written informed consent.

RNA obtained from diagnostic bone marrow samples was used to analyze the expression of EVI1 using a previously established EVI1 quantitative real-time polymerase chain reaction assay that covers the various EVI1 splice variants.7 Event-free survival (EFS) was defined as the time from the diagnosis of AML to the last follow up or the first event (failure to achieve remission, relapse, secondary malignancy, or any cause of death). In this study, most of the events were relapses (n=23) and the rest were deaths with sepsis (n=1) and acute respiratory distress syndrome (n=1). Overall survival (OS) was defined as the time from the diagnosis of AML to any cause of death. All tests were two-tailed and P<0.05 was considered statistically significant.

Among 443 eligible AML patients, 69 were diagnosed as MLL-rearranged AML and diagnostic samples from 50 patients were analyzed for EVI1 mRNA expression. No significant differences in the characteristics and clinical outcomes were observed between these 50 patients and the 19 patients who did not have EVI1 data [EFS (P=0.20), OS (P=0.45)]. EVI1 expression levels were dichotomized based on a cut off of 0.1 relative to SKOV3, an ovarian carcinoma cell line overexpressing EVI1: values higher than 0.1 were defined as EVI1+ and those lower than 0.1 or undetectable were defined as EVI1−, as described in a previous study.7 EVI1+ was present in 18 patients (36%). EVI1 expression levels in different MLL translocation partners relative to that in SKOV3 cells are shown in Online Supplementary Figure S1. The clinical features of EVI1+ and EVI1− patients are summarized in Table 1. EVI1+ patients were significantly older (P=0.03) and had a higher WBC count (P=0.01) at the time of diagnosis than EVI1− patients. Most of the MLL-rearranged AML cases were classified as FAB-M5 or FAB-M4. Specifically, most EVI1− patients (84%) presented with FAB-M5 morphology, which was less frequent in EVI1+ patients (22%), consistent with the findings of a previous study.8 EVI1+ was not correlated with sex or MLL translocation partners. The frequency of FLT3-ITD was significantly higher in EVI1+ patients (P=0.04). We also analyzed CEBPA and NPM1 mutations, which are established favorable prognostic factors; however, none of the patients harbored these mutations, except for one EVI1− patient harboring double CEBPA mutations.

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Table 1.

Characteristics of patients categorized according to EVI1 expression status.

Next, clinical outcomes were compared between EVI1+ patients and EVI1− patients (Figure 1). In the MLL-rearranged AML cohort (n=50), EVI1+ patients had a significantly worse EFS than EVI1− patients (P<0.0001) (Figure 1A). However, OS did not differ significantly between the two groups (P=0.054) (Figure 1B). Among several types of MLL-rearrangements, MLL-AF9 was the most common translocation (n=29, 58%) (Table 1). Therefore, clinical outcomes in the cohort of MLL-AF9 positive patients were compared between EVI1+ patients (n=11) and EVI1−patients (n=18). The results showed significant differences in EFS (P<0.0001) and OS (P=0.0008) (Figure 1C and D). By contrast, no differences in EFS (P=0.36) or OS (P=0.57) were observed among patients with MLL-rearranged AML after excluding MLL-AF9 positive patients (Figure 1E and F). The clinical outcomes associated with each type of MLL-rearrangement could not be analyzed because of the small sample size. Multivariate Cox regression analysis, including FLT3-ITD, WBC count, and age identified EVI1+ as the only prognostic factor predicting poor EFS in the total cohort of MLL-rearranged AML (hazard ratio (HR), 4.94; P<0.01) and in the MLL-AF9 positive cohort (HR, 33.81; P<0.01), but not OS (Online Supplementary Table S1).

Figure 1.
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Figure 1.

Kaplan-Meier survival curves of event-free survival (EFS) and overall survival (OS) from the time of diagnosis according to EVI1 expression status. (A) Kaplan-Meier estimates of EFS in the cohort of MLL-rearranged AML in EVI1+ and EVI1− patients. (B) Kaplan-Meier estimates of OS in the cohort of MLL-rearranged AML in EVI1+ and EVI1− patients. (C) Kaplan-Meier estimates of EFS in the cohort of MLL-AF9 in EVI1+ and EVI1− patients. (D) Kaplan-Meier estimates of OS in the cohort of MLL-AF9 in EVI1+ and EVI1− patients. (E) Kaplan-Meier estimates of EFS in the cohort of MLL-rearranged AML without MLL-AF9 in EVI1+ and EVI1− patients. (F) Kaplan-Meier estimates of OS in the cohort of MLL-rearranged AML without MLL-AF9 in EVI1+ and EVI1− patients. P values determined using the log rank test.

These results suggest that EVI1 overexpression is an independent adverse prognostic factor because of its association with reduced remission duration in pediatric patients with MLL-rearranged AML, especially in patients harboring MLL-AF9. A recent large study identified several novel prognostic MLL-rearranged subgroups, including a favorable-risk MLL-AF1q positive subgroup and a poor-risk MLL-AF6 positive subgroup.11 However, MLL-AF9 positive patients are categorized as an intermediate risk group, and this subgroup may be dichotomized as a favorable and poor-risk subgroup based on EVI1 expression levels. Pretreatment screening for EVI1 expression should be considered in patients with MLL-rearranged AML to enable better risk assessment and alternative consolidation therapies to be considered. Our results need to be confirmed in larger studies because of the limited case numbers.

From a biological viewpoint, the ‘evil’-like adverse effects of EVI1 in patients with MLL-AF9-positive AML were partially elucidated in a recent study in which EVI1 positive cells harboring MLL-AF9 showed distinct morphological, molecular, and mechanistic differences from EVI1 negative cells.13 Moreover, EVI1 overexpression has been linked to CD52 overexpression, which could be a therapeutic target for monoclonal antibody treatment.14 Further investigation is required to identify novel prognostic factors in the various subgroups of MLL-rearranged AML and to develop therapeutic strategies effective for patients with EVI1 overexpression.

Acknowledgments

We thank all the clinicians participating in the JPLSG AML-05 study.

Footnotes

  • Trial registration: This trial is registered with the UMIN Clinical Trials Registry (UMIN–CTR, URL: http://www.umin.ac.jp/ctr/index.htm; number UMIN000000511).

  • Funding: This work was supported by a Grant for Clinical Cancer Research and a Grant-in-Aid for Cancer Research from the Ministry of Health, Labour and Welfare of Japan.

  • Information on authorship, contributions, and financial & other disclosures was provided by the authors and is available with the online version of this article at www.haematologica.org.

  • Copyright© Ferrata Storti Foundation

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Vol 99 Issue 11

Haematologica: 99 (11)
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acute myeloid leukemia
pediatrics
MLL
EVI1
Prognostic Factor
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EVI1 overexpression is a poor prognostic factor in pediatric patients with mixed lineage leukemia-AF9 rearranged acute myeloid leukemia
Hidemasa Matsuo, Mio Kajihara, Daisuke Tomizawa, Tomoyuki Watanabe, Akiko Moriya Saito, Junichiro Fujimoto, Keizo Horibe, Kumi Kodama, Mayu Tokumasu, Hiroshi Itoh, Hideki Nakayama, Akitoshi Kinoshita, Takashi Taga, Akio Tawa, Tomohiko Taki, Norio Shiba, Kentaro Ohki, Yasuhide Hayashi, Yuka Yamashita, Akira Shimada, Shiro Tanaka, Souichi Adachi
Haematologica Nov 2014, 99 (11) e225-e227; DOI: 10.3324/haematol.2014.107128

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Hidemasa Matsuo, Mio Kajihara, Daisuke Tomizawa, Tomoyuki Watanabe, Akiko Moriya Saito, Junichiro Fujimoto, Keizo Horibe, Kumi Kodama, Mayu Tokumasu, Hiroshi Itoh, Hideki Nakayama, Akitoshi Kinoshita, Takashi Taga, Akio Tawa, Tomohiko Taki, Norio Shiba, Kentaro Ohki, Yasuhide Hayashi, Yuka Yamashita, Akira Shimada, Shiro Tanaka, Souichi Adachi
Haematologica Nov 2014, 99 (11) e225-e227; DOI: 10.3324/haematol.2014.107128
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