Rapid identification of BCR/ABL1-like acute lymphoblastic leukaemia patients using a predictive statistical model based on quantitative real time-polymerase chain reaction: clinical, prognostic and therapeutic implications
Language English Country England, Great Britain Media print-electronic
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
Grant support
R01 CA151898
NCI NIH HHS - United States
R01 CA194547
NCI NIH HHS - United States
PubMed
29675955
PubMed Central
PMC5975184
DOI
10.1111/bjh.15251
Knihovny.cz E-resources
- Keywords
- Acute lymphoblastic leukaemia, BCR/ABL1-like, adults, prognosis, tyrosine kinase inhibitors,
- MeSH
- Precursor Cell Lymphoblastic Leukemia-Lymphoma * diagnosis genetics metabolism mortality MeSH
- Fusion Proteins, bcr-abl * biosynthesis genetics MeSH
- Models, Biological * MeSH
- Child MeSH
- Adult MeSH
- Infant MeSH
- Real-Time Polymerase Chain Reaction * MeSH
- Humans MeSH
- Survival Rate MeSH
- Adolescent MeSH
- Infant, Newborn MeSH
- Predictive Value of Tests MeSH
- Child, Preschool MeSH
- Disease-Free Survival MeSH
- Gene Expression Regulation, Leukemic * MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Infant MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Infant, Newborn MeSH
- Child, Preschool MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
- Names of Substances
- Fusion Proteins, bcr-abl * MeSH
- BCR-ABL1 fusion protein, human MeSH Browser
BCR/ABL1-like acute lymphoblastic leukaemia (ALL) is a subgroup of B-lineage acute lymphoblastic leukaemia that occurs within cases without recurrent molecular rearrangements. Gene expression profiling (GEP) can identify these cases but it is expensive and not widely available. Using GEP, we identified 10 genes specifically overexpressed by BCR/ABL1-like ALL cases and used their expression values - assessed by quantitative real time-polymerase chain reaction (Q-RT-PCR) in 26 BCR/ABL1-like and 26 non-BCR/ABL1-like cases to build a statistical "BCR/ABL1-like predictor", for the identification of BCR/ABL1-like cases. By screening 142 B-lineage ALL patients with the "BCR/ABL1-like predictor", we identified 28/142 BCR/ABL1-like patients (19·7%). Overall, BCR/ABL1-like cases were enriched in JAK/STAT mutations (P < 0·001), IKZF1 deletions (P < 0·001) and rearrangements involving cytokine receptors and tyrosine kinases (P = 0·001), thus corroborating the validity of the prediction. Clinically, the BCR/ABL1-like cases identified by the BCR/ABL1-like predictor achieved a lower rate of complete remission (P = 0·014) and a worse event-free survival (P = 0·0009) compared to non-BCR/ABL1-like ALL. Consistently, primary cells from BCR/ABL1-like cases responded in vitro to ponatinib. We propose a simple tool based on Q-RT-PCR and a statistical model that is capable of easily, quickly and reliably identifying BCR/ABL1-like ALL cases at diagnosis.
Department of Medical Oncology Dana Farber Cancer Institute Boston MA USA
Department of Molecular Medicine Sapienza University Rome Italy
Department of Paediatric Haematology Oncology Dana Farber Cancer Institute Boston MA USA
Department of Pathology and Laboratory Medicine Weill Cornell Medical College New York NY USA
Department of Physiology and Biophysics Weill Cornell Medical College New York NY USA
GIMEMA Data Centre GIMEMA Foundation Rome Italy
Haematology Department of Cellular Biotechnologies and Haematology Sapienza University Rome Italy
Institute of Haematology and Blood Transfusion Prague Czech Republic
Institute of Haematology Centro Ricerche Onco Ematologiche University of Perugia Perugia Italy
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