{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T20:08:43Z","timestamp":1776456523632,"version":"3.51.2"},"posted":{"date-parts":[[2023,5,18]]},"group-title":"Cancer Biology","reference-count":36,"publisher":"openRxiv","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2023,5,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>Mixed phenotype acute leukemia (MPAL) is a leukemia whose biologic drivers are poorly understood, therapeutic strategy remains unclear, and prognosis is poor. We performed multiomic single cell (SC) profiling of 14 newly diagnosed adult MPAL patients to characterize the immunophenotypic, genetic, and transcriptional landscapes of MPAL. We show that neither genetic profile nor transcriptome reliably correlate with specific MPAL immunophenotypes. However, progressive acquisition of mutations is associated with increased expression of immunophenotypic markers of immaturity. Using SC transcriptional profiling, we find that MPAL blasts express a stem cell-like transcriptional profile distinct from other acute leukemias and indicative of high differentiation potential. Further, patients with the highest differentiation potential demonstrated inferior survival in our dataset. A gene set score, MPAL95, derived from genes highly enriched in this cohort, is applicable to bulk RNA sequencing data and was predictive of survival in an independent patient cohort, suggesting utility for clinical risk stratification.<\/jats:p>","DOI":"10.1101\/2023.05.15.540305","type":"posted-content","created":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T12:25:30Z","timestamp":1684412730000},"source":"Crossref","is-referenced-by-count":4,"title":["Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification"],"prefix":"10.64898","author":[{"given":"Cheryl A. 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