{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T06:10:44Z","timestamp":1790143844902,"version":"4.0.1"},"reference-count":71,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T00:00:00Z","timestamp":1790121600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Oncol."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Acute lymphoblastic leukemia (ALL) is a common pediatric malignancy and shows marked genetic heterogeneity. Transcriptomic profiling may improve molecular diagnosis and risk stratification, particularly in admixed Latin American populations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We characterized the transcriptomic landscape of pediatric ALL in 40 Colombian patients aged &amp;lt;20 years using whole-transcriptome RNA sequencing of diagnostic bone marrow or peripheral blood samples. Bioinformatic analyses enabled molecular subtype assignment, fusion detection, differential expression analysis, and variant calling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The median age was 8 years, and 8 patients had measurable residual disease at the end of induction. The most frequent subtypes were\n                      <jats:italic>ETV6::RUNX1<\/jats:italic>\n                      and Ph-like, each representing 15% of cases. Fusions, including\n                      <jats:italic>MEF2D::HNRNPUL1<\/jats:italic>\n                      and\n                      <jats:italic>SEPTIN9::ABL1<\/jats:italic>\n                      , were identified. Differential expression analysis revealed 3,864 genes distinguishing ALL from non-leukemic controls, with enrichment of hematologic malignancy, B-cell differentiation, immune, and inflammatory pathways.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Molecular classification refined conventional risk stratification in 10% of patients, supporting the potential clinical utility of transcriptomic profiling in pediatric ALL.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fonc.2026.1957558","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T05:49:17Z","timestamp":1790142557000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Distribution of molecular subtypes in a Colombian cohort of patients with acute lymphoblastic leukemia using 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Colombia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana","family":"Moreno-Garcia","sequence":"additional","affiliation":[{"name":"Laboratorio especializado, Cl\u00ednica Colsanitas","place":["Bogot\u00e1, Colombia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federico","family":"Arroyave-Ossa","sequence":"additional","affiliation":[{"name":"Servicio de Oncolog\u00eda Pedi\u00e1trica y Trasplante de M\u00e9dula \u00d3sea, Departamento de Cancerolog\u00eda, Hospital Pablo Tob\u00f3n Uribe","place":["Medell\u00edn, Colombia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lina Maria","family":"Quiroz","sequence":"additional","affiliation":[{"name":"Servicio de Oncolog\u00eda Pedi\u00e1trica y Trasplante de M\u00e9dula \u00d3sea, Departamento de Cancerolog\u00eda, Hospital Pablo Tob\u00f3n Uribe","place":["Medell\u00edn, 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