The Proteomics of T-Cell and Early T-Cell Precursor (ETP) Acute Lymphocytic Leukemia: Prognostic Patterns in Adult and Pediatric-ETP ALL
Our study demonstrates that proteomics are predictive of outcome in adult T-ALL and that we can identify a small subset of pediatric ETP with an inferior outcome. The observation that there are age-specific patterns supports the idea that the origin of T-ALL in most pediatric and adult patients is different, while overlapping patterns suggests that there are some with a common pathophysiology. Proteomics could enhance risk stratification in both pediatric and adults with T-ALL.
Authors
- Lourdes Sriraja (ORCID: https://orcid.org/0000-0002-2940-2068)
- Mignon L. Loh (ORCID: https://orcid.org/0000-0003-4099-4700)
- Brent Lee Wood (ORCID: https://orcid.org/0000-0001-7414-3969)
- Steven Mitchell Kornblau (ORCID: https://orcid.org/0000-0002-5990-9548)
- David T. Teachey (ORCID: https://orcid.org/0000-0001-7373-8987)
- Fieke W. Hoff (ORCID: https://orcid.org/0000-0002-7128-1255)
- Terzah M. Horton (ORCID: https://orcid.org/0000-0001-8293-4242)
- Evangelia Petsalaki (ORCID: https://orcid.org/0000-0002-8294-2995)
- Meenakshi Devidas (ORCID: https://orcid.org/0000-0002-1099-3478)
- Yihua Qiu (ORCID: https://orcid.org/0000-0003-1243-4810)
- Gaye Jenkins
- Shaina Shockley
Institutions
- University of Southern California (US)
- Seattle Children's Hospital (US)
- European Bioinformatics Institute (GB)
- St. Jude Children's Research Hospital (US)
- Children's Hospital of Philadelphia (US)
- Children's Hospital of Los Angeles (US)
- The University of Texas MD Anderson Cancer Center (US)
- Baylor College of Medicine (US)
- Southwestern Medical Center (US)
- Children's Cancer Center (US)
- Southwestern Medical Center (US)
- University of Pennsylvania (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Cancers
- Published
- 2024-12-19
- DOI
- https://doi.org/10.3390/cancers16244241
- Citations
- 2
- Primary Topic
- Acute Lymphoblastic Leukemia research
- Type
- article
- Field-Weighted Citation Impact
- 1.09
Funders
- European Bioinformatics Institute