Predicting drug resistance

A new approach helps examine the proportion of cancerous and healthy stem cells in patients with chronic myeloid leukemia and how this influences treatment outcomes.

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Main Authors: Nicole S Arellano, Shannon E Elf
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2024-11-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/103775
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author Nicole S Arellano
Shannon E Elf
author_facet Nicole S Arellano
Shannon E Elf
author_sort Nicole S Arellano
collection DOAJ
description A new approach helps examine the proportion of cancerous and healthy stem cells in patients with chronic myeloid leukemia and how this influences treatment outcomes.
format Article
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institution OA Journals
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language English
publishDate 2024-11-01
publisher eLife Sciences Publications Ltd
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spelling doaj-art-4f5a9e5111414f65b282cdebbee7af402025-08-20T02:12:35ZengeLife Sciences Publications LtdeLife2050-084X2024-11-011310.7554/eLife.103775Predicting drug resistanceNicole S Arellano0https://orcid.org/0000-0003-1618-0467Shannon E Elf1https://orcid.org/0000-0002-8845-3818Department of Internal Medicine and the Division of Hematology and Hematologic Malignancies, University of Utah, Salt Lake City, United StatesDepartment of Internal Medicine and the Division of Hematology and Hematologic Malignancies, University of Utah, Salt Lake City, United StatesA new approach helps examine the proportion of cancerous and healthy stem cells in patients with chronic myeloid leukemia and how this influences treatment outcomes.https://elifesciences.org/articles/103775leukemic stem cellCITE-SeqCMLCD26CD35cancer
spellingShingle Nicole S Arellano
Shannon E Elf
Predicting drug resistance
eLife
leukemic stem cell
CITE-Seq
CML
CD26
CD35
cancer
title Predicting drug resistance
title_full Predicting drug resistance
title_fullStr Predicting drug resistance
title_full_unstemmed Predicting drug resistance
title_short Predicting drug resistance
title_sort predicting drug resistance
topic leukemic stem cell
CITE-Seq
CML
CD26
CD35
cancer
url https://elifesciences.org/articles/103775
work_keys_str_mv AT nicolesarellano predictingdrugresistance
AT shannoneelf predictingdrugresistance