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Childhood Cancer Data Initiative (CCDI): Identification and Targeting of Treatment Resistant Progenitor Populations in T-cell Acute Lymphoblastic Leukemia
CCDI
Data Resource:  CCDI
Point of Contact:  
Kai Tan, PhD,  
Project

About This Dataset
Our goal with this study was to identify the mechanisms of treatment resistance in T-cell acute lymphoblastic leukemia (ALL) using single-cell genomics. We profiled 40 T-ALL cases from the Children's Oncology Group AALL0434 clinical trial using CITE-seq/snATAC-seq, capturing a breadth of immunophenotypes, including early T-cell precursor (ETP) and near-ETP/non-ETP subtypes. By integrating analyses of T-ALL cells with the normal T-cell developmental trajectory, the study identified a specific subgroup of leukemia cells resembling bone marrow progenitors (BMP-like cells). These BMP-like cells were associated with treatment failure and poor overall survival in T-ALL patients. Overall, this study reveals comprehensive multiomic signatures for rapidly assessing risk and tailoring targeted treatment for high-risk T-ALL patients.
Core Data Elements
Number of Cases
43
Case Sex
Female (14); Male (29)
Case Age At Diagnosis
0 to 4 years (5); 5 to 9 years (15); 10 to 14 years (9); 15 to 19 years (10); 25 to 29 years (1); Pediatric and Young Adult (<40 years) (3)
Case Race
American Indian or Alaska Native (1); Asian (5); Black or African American (6); Native Hawaiian or Other Pacific Islander (2); White (25); Unknown (4)
Case Ethnicity
Hispanic or Latino (6); Not Hispanic or Latino (34); Unknown (3)
Case Disease Diagnosis
T Lymphoblastic Leukemia/Lymphoma (43)
Case Tumor Site
Blood (8); Bone Marrow (32); Not Reported (3)
Number of Samples
59
Sample Assay Method
Assay for Transposase-Accessible Chromatin Sequencing (43); Other (59); RNA Sequencing (59)
Sample Is Normal
Yes (3); No (56)
Additional Data Elements
DBGAP STUDY IDENTIFIER
Published In
https://doi.org/10.1200/jco.20.00256
Charts
Male (29); Female (14)
29Male