In acute lymphoblastic leukaemia (ALL), cytoplasmic CD3 (cCD3) is a defining marker for T-lineage, and CD19 plus additional B-cell marker(s) for B-lineage. We identified 23 ALL cases in which the lymp Show more
In acute lymphoblastic leukaemia (ALL), cytoplasmic CD3 (cCD3) is a defining marker for T-lineage, and CD19 plus additional B-cell marker(s) for B-lineage. We identified 23 ALL cases in which the lymphoblasts expressed both cCD3 and CD19, making lineage assignment challenging. These cases represented approximately 10% of cCD3+ ALL and expressed a median of two additional B-cell markers other than CD19, including CD79a (76%), CD22 (22%), PAX5 (57%) and CD10 (44%). Two cases were mixed for T/B-lineage ALL, both positive for BCR::ABL1 rearrangement. In the remaining 21 cases, IgH and/or IgK/L rearrangement were detected in 1 of 19 cases and TRG/TRB in 13 of 21 (62%) cases. Other T-ALL characteristic genetic abnormalities included NOTCH1 mutations (7/21, 33%), PHF6 (6/21, 29%), JAK3 (4/21, 19%), PICALM::MLLT10, TLX3::BCL11B, TRB::HOXA13, SPTAN1::NUP214 and deletion of CDKN2A/CDKN2B. In the 16 cases that demonstrated a T-ALL genetic profile, CD22 (2/16, 13%) was found to be a more specific additional B-lineage marker than CD79a (11/15, 73%), PAX5 (8/14, 57%) or CD10 (7/16, 44%). Our data suggest that mixed T/B-ALL is extremely rare, with most cases associated with BCR::ABL1 and blast crisis of myeloproliferative neoplasms. The majority of cases represent early T-precursor lymphoblastic leukaemia expressing aberrant B-cell markers. We also showed persistent CD19 expression in relapsed/residual disease (16/17, 94%), suggesting its potential role as a therapeutic target and as a marker for detection of residual/relapse disease in these ALL cases. Show less
SPINE (Structural Proteomics In Europe) was established in 2002 as an integrated research project to develop new methods and technologies for high-throughput structural biology. Development areas were Show more
SPINE (Structural Proteomics In Europe) was established in 2002 as an integrated research project to develop new methods and technologies for high-throughput structural biology. Development areas were broken down into workpackages and this article gives an overview of ongoing activity in the bioinformatics workpackage. Developments cover target selection, target registration, wet and dry laboratory data management and structure annotation as they pertain to high-throughput studies. Some individual projects and developments are discussed in detail, while those that are covered elsewhere in this issue are treated more briefly. In particular, this overview focuses on the infrastructure of the software that allows the experimentalist to move projects through different areas that are crucial to high-throughput studies, leading to the collation of large data sets which are managed and eventually archived and/or deposited. Show less