{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T04:37:16Z","timestamp":1789015036415,"version":"build-2803163510"},"reference-count":43,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2018,4,19]],"date-time":"2018-04-19T00:00:00Z","timestamp":1524096000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["5R01CA151898"],"award-info":[{"award-number":["5R01CA151898"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["5R01CA17238"],"award-info":[{"award-number":["5R01CA17238"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Br J Haematol"],"published-print":{"date-parts":[[2018,6]]},"abstract":"Summary<\/jats:title>BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like acute lymphoblastic leukaemia (ALL<\/jats:styled-content>) is a subgroup of B\u2010lineage acute lymphoblastic leukaemia that occurs within cases without recurrent molecular rearrangements. Gene expression profiling (GEP<\/jats:styled-content>) can identify these cases but it is expensive and not widely available. Using GEP<\/jats:styled-content>, we identified 10 genes specifically overexpressed by BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like ALL<\/jats:styled-content> cases and used their expression values \u2013 assessed by quantitative real time\u2010polymerase chain reaction (Q\u2010RT<\/jats:styled-content>\u2010PCR<\/jats:styled-content>) in 26 BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like and 26 non\u2010BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like cases to build a statistical \u201cBCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like predictor\u201d, for the identification of BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like cases. By screening 142 B\u2010lineage ALL<\/jats:styled-content> patients with the \u201cBCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like predictor\u201d, we identified 28\/142 BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like patients (19\u00b77%). Overall, BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like cases were enriched in JAK<\/jats:styled-content>\/STAT<\/jats:styled-content><\/jats:italic> mutations (P\u00a0<\/jats:italic><\u00a0<\/jats:italic>0\u00b7001), IKZF<\/jats:styled-content>1<\/jats:italic> deletions (P\u00a0<\/jats:italic><\u00a0<\/jats:italic>0\u00b7001) and rearrangements involving cytokine receptors and tyrosine kinases (P\u00a0<\/jats:italic>=\u00a0<\/jats:italic>0\u00b7001), thus corroborating the validity of the prediction. Clinically, the BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like cases identified by the BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like predictor achieved a lower rate of complete remission (P\u00a0<\/jats:italic>=\u00a0<\/jats:italic>0\u00b7014) and a worse event\u2010free survival (P\u00a0<\/jats:italic>=\u00a0<\/jats:italic>0\u00b70009) compared to non\u2010BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1\u2010<\/jats:italic>like ALL<\/jats:styled-content>. Consistently, primary cells from BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like cases responded in\u00a0vitro<\/jats:italic> to ponatinib. We propose a simple tool based on Q\u2010RT<\/jats:styled-content>\u2010PCR<\/jats:styled-content> and a statistical model that is capable of easily, quickly and reliably identifying BCR<\/jats:styled-content>\/ABL<\/jats:styled-content>1<\/jats:italic>\u2010like ALL<\/jats:styled-content> cases at diagnosis.<\/jats:p>","DOI":"10.1111\/bjh.15251","type":"journal-article","created":{"date-parts":[[2018,4,20]],"date-time":"2018-04-20T04:46:20Z","timestamp":1524199580000},"page":"642-652","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":55,"title":["Rapid identification of BCR<\/scp>\/ABL<\/scp>1<\/i>\u2010like acute lymphoblastic leukaemia patients using a predictive statistical model based on quantitative real time\u2010polymerase chain reaction: clinical, prognostic and therapeutic implications"],"prefix":"10.1111","volume":"181","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8499-4492","authenticated-orcid":false,"given":"Sabina","family":"Chiaretti","sequence":"first","affiliation":[{"name":"Haematology, Department of Cellular Biotechnologies and Haematology \u201cSapienza\u201d University Rome Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3531-4766","authenticated-orcid":false,"given":"Monica","family":"Messina","sequence":"additional","affiliation":[{"name":"Haematology, Department of Cellular Biotechnologies and Haematology \u201cSapienza\u201d University Rome Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Grammatico","sequence":"additional","affiliation":[{"name":"Haematology, Department of Cellular Biotechnologies and Haematology \u201cSapienza\u201d University Rome 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