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Predicting drug resistance

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 06 Nov 2024 English Publisher:eLife Sciences Publications, LtdJournal:eLife, volume 13 (eissn: 2050-084X, Copyright policy )
Authors: Nicole S Arellano; Shannon E Elf;

doi: 10.7554/elife.103775

pmid: 39503728

pmc: PMC11540300

Predicting drug resistance

Abstract

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.

Related Organizations
Keywords

QH301-705.5, Science, Q, R, Antineoplastic Agents, leukemic stem cell, CITE-Seq, Drug Resistance, Neoplasm, Leukemia, Myelogenous, Chronic, BCR-ABL Positive, Neoplastic Stem Cells, cancer, Medicine, Humans, Biology (General), CML, CD35, CD26, Cancer Biology

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold
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Cancer Research