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Extensive Molecular Analysis Strongly Improves the Distinction Between AML and ALL in Adult Acute Leukemias of Ambiguous Lineage

CEBPA公司 净现值1 CDKN2A CDKN2B公司 髓样 免疫分型 白血病 生物 癌症研究 ETV6 免疫学 肿瘤科 医学 基因 抗原 遗传学 核型 染色体易位 突变 染色体
作者
Anikó Szabó,Mathijs A. Sanders,Carla Exalto,Jasper Koenders,Patricia G. Hoogeveen,Anita M. Schelen,Willemijn van den Ancker,Arjan A. van de Loosdrecht,Bob Löwenberg,Vincent H. J. van der Velden,Jan J. Cornelissen,Peter J.M. Valk,Anita W. Rijneveld
出处
期刊:Blood [Elsevier BV]
卷期号:124 (21): 1067-1067 被引量:1
标识
DOI:10.1182/blood.v124.21.1067.1067
摘要

Abstract Background In 1995 the European Group for the Immunological Classification of Leukemias (EGIL) presented guidelines to classify bilineage and biphenotypic acute leukemias (BAL). Subsequently, the WHO in 2008 defined mixed phenotype acute leukemias (MPAL), as leukemias coexpressing antigens of both lymphoid and myeloid lineage, and leukemias with distinct blast populations of more than one lineage. However, a classifying diagnosis towards myeloid or lymphoid leukemia based on an extensive molecular-biological characterization could provide much better distinction, which could be useful for selecting AML or ALL like treatment approaches. We investigated whether extensive molecular analysis might improve a diagnosis of BAL/MPAL into predominant AML or ALL. Patients and methods For this study 25 adults, diagnosed between 2000 and 2009 with BAL/MPAL were identified. Flowcytometry and cytogenetics were performed at diagnosis. In addition, molecular analysis was performed to identify BCR-ABL, MLL, AML1-ETO, CBF-MYH11, SIL-TAL1, SET-NUP, NUP-ABL fusion transcripts, FLT3-ITD, CEBPA, NPM1, NOTCH1 mutations and IKZF1, CDKN2A, CDKN2B deletions. Furthermore, multiplex PCR assays to detect immunoglobulin (Ig) and T-cell receptor (TCR) gene rearrangements were performed. Gene expression profiles (GEP) were generated, and results were compared to an AML/ALL classifier profile. A classifying diagnosis of either ALL or AML was made if at least two of the 5 assays applied, were highly suggestive for a specific lineage without explicit contradicting results of the remaining assays. Results Twenty-four of the 25 BAL/MPAL cases could be diagnosed into predominant AML or ALL by extensive molecular analysis (Table 1). In 11 cases the WHO2008 criteria classified BAL cases as AML or ALL, and extensive molecular analysis also indicated the same lineage. Adding standard cytogenetic and molecular analysis improved the WHO classification in another 4 patients. Remarkably, extensive molecular analysis clearly showed preference for either AML or ALL in all of the MPAL cases. As a result, we were able to improve a diagnosis in all MPAL cases. Only 1 of the 25 patients remained unclassified. Statistical analysis did not show significant correlation between the different assays. Twelve patients received AML-based chemotherapy, including 3 patients ultimately classified as ALL. Moreover, among 12 patients who received ALL type therapy, 1 was retrospectively classified as AML. In general, outcome appeared very poor with a 3 year overall survival of 32% (Kaplan-Meier estimate, 95%CI: 14%-51%). Conclusions This study suggests that a differential diagnosis of AML versus ALL is partly improved by applying the WHO2008 criteria instead of the EGIL classification. However, extensive molecular analysis, including GEP and Ig/TCR, more strongly enabled the identification of the lineage of origin, ultimately resulting in a classifying diagnosis in 24 out of 25 patients. So far no assay appeared as golden standard but different complementary techniques showed additive value. Collectively these results strongly argue for advanced, centralized diagnostic procedures in patients with acute leukemia of ambiguous lineage, which may subsequently enable the development of specific therapeutic approaches in these poor-risk patients. Table 1 Patient characteristics Age (year) EGIL WHO 2008 Molecular aberrations GEP probability Ig/TCR Classification AML ALL 51 TM MPAL * 0,000 1,000 POS ALL 52 TM MPAL FLT3-ITD 0,970 0,030 NEG AML 20 BM MPAL MLL-AF4 CEBPA 0,000 1,000 POS ALL 18 BM MPAL IKZF1 CDKN2A-2B 0,000 1,000 POS ALL 49 BM MPAL BCR-ABL IKZF1 ND ND POS ALL 57 BM MPAL CDKN2A 0,000 1,000 POS ALL 40 BM MPAL CDKN2A-2B ND ND POS ALL 23 T MPAL CDKN2A ND ND POS ALL 24 B MPAL * 0,000 1,000 POS ALL 65 B MPAL BCR-ABL IKZF1 CDKN2A ND ND POS ALL 58 BM AML * 1,000 0,000 NEG AML 52 BM AML NPM1 ND ND NEG AML 59 BM AML FLT3-ITD NPM1 ND ND NEG AML 41 BM AML FLT3-ITD CEBPA NPM1 ND ND POS AML 69 BM AML MLL ND ND NEG AML 18 BM AML CBF-MYH11 ND ND POS AML 71 BM # FLT3-ITD CDKN2A-2B 0,709 0,291 NEG AML 67 BM # * 0,003 0,997 POS ALL 15 BM ALL IKZF1 CDKN2A-2B ND ND POS ALL 23 BM # * 0,998 0,002 POS ? 32 BTM # * 0,938 0,062 POS AML 27 BTM ALL IKZF1 0,001 0,999 POS ALL 69 BTM ALL CDKN2A-2B 0,098 0,902 NEG ALL 16 BTM ALL CDKN2A-2B ND ND POS ALL 54 TM ALL NOTCH1 0,148 0,852 NEG ALL # Unclear classification according to WHO2008 * No abnormalities Abbreviations: ND, not determined. Disclosures No relevant conflicts of interest to declare.
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