{'fraction_non_alphanumeric': 0.04209260372820205, 'fraction_numerical': 0.034275405892964524, 'mean_word_length': 6.203463203463204, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Impact of immunophenotypic characteristics on genetic subgrouping in childhood acute lymphoblastic leukemia: Tokyo Children's Cancer Study Group (TCCSG) study L04‐16

Immunophenotyping was performed in 1044 consecutive childhood acute lymphoblastic leukemia (ALL) patients enrolled in the Tokyo Children's Cancer Study Group L04‐16 trial, revealing novel findings associated with genetic abnormalities. In addition to TCF3‐PBX1 and MEF2D fusions, the CD10(+) subtype of KMT2A‐MLLT3‐positive ALL frequently exhibited the cytoplasmic‐μ(+) pre‐B ALL immunophenotype. Although ETV6‐RUNX1 was significantly correlated with myeloid antigen expression, more than half of patients expressed neither CD33 nor CD13, while the CD27(+)/CD44(−) immunophenotype was maintained. Expression of CD117 and CD56 in B‐cell precursor‐ALL was limited to certain subtypes including ETV6‐RUNX1 and KMT2A‐MLLT3. Besides BCR‐ABL1, CRLF2, hyperdiploidy, and hypodiploidy, CD66c was also expressed in Ph‐like kinase fusion‐, PAX5 fusion‐, and DUX4 fusion‐positive ALL, but not in MEF2D fusion‐positive ALL, indicating constant selectivity of CD66c expression. In T‐ALL, SIL‐TAL1‐positive patients were likely to exhibit a more mature immunophenotype. Expression of CD21 and CD10 was not rare in T‐ALL, while lack of CD28 was an additional feature of early T‐cell precursor‐ALL. Considering the immunophenotype as a prognostic maker, MEF2D fusion‐positive ALL with CD5 expression may be associated with a poorer prognosis in comparison with those lacking CD5 expression. In cases with characteristic marker expression, the presence of certain fusion transcripts could be predicted accurately.