Evidence map›Paper›PMID 32270193›Full record

ArticleBlood2020

The miR-185/PAK6 axis predicts therapy response and regulates survival of drug-resistant leukemic stem cells in CML.

Hanyang Lin, Katharina Rothe, Min Chen, Andrew Wu, Artem Babaian, Ryan Yen, Jonathan Zeng, Jens Ruschmann, Oleh I Petriv, Kieran O'Neill and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
  2. Trial
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  4. Computational Identification of New Dual PAK4 and NAMPT Inhibitors.International journal of molecular sciences · 2026
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  14. miR-181a plays the tumor-suppressor role in chronic myeloid leukemia CD34Cellular and molecular life sciences : CMLS · 2023
    Article
  15. Article
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  17. Review
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 3 countries.

Hanyang LinTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Katharina RotheTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Min ChenTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Andrew WuTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Artem BabaianTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Ryan YenTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Jonathan ZengTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Jens RuschmannTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Oleh I PetrivCenter for High-Throughput Biology, and.
Kieran O'NeillTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Tobias MaetzigTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
David J H F KnappTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Naoto NakamichiTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Ryan BrinkmanTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Inanc BirolDepartment of Medical Genetics.
Donna L ForrestDepartment of Medicine.
Carl HansenCenter for High-Throughput Biology, and.
R Keith HumphriesTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Connie J EavesTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Xiaoyan JiangTerry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
Terry Fox Research Institute · CAHigh Throughput Biology (United States) · USLeukemia & Lymphoma Society of Canada · CAMedical Genetics Center · DEUniversity of British Columbia · CA

Funding

CIHR 427201
6 · The paper itself

Abstract

Overcoming drug resistance and targeting cancer stem cells remain challenges for curative cancer treatment. To investigate the role of microRNAs (miRNAs) in regulating drug resistance and leukemic stem cell (LSC) fate, we performed global transcriptome profiling in treatment-naive chronic myeloid leukemia (CML) stem/progenitor cells and identified that miR-185 levels anticipate their response to ABL tyrosine kinase inhibitors (TKIs). miR-185 functions as a tumor suppressor: its restored expression impaired survival of drug-resistant cells, sensitized them to TKIs in vitro, and markedly eliminated long-term repopulating LSCs and infiltrating blast cells, conferring a survival advantage in preclinical xenotransplantation models. Integrative analysis with mRNA profiles uncovered PAK6 as a crucial target of miR-185, and pharmacological inhibition of PAK6 perturbed the RAS/MAPK pathway and mitochondrial activity, sensitizing therapy-resistant cells to TKIs. Thus, miR-185 presents as a potential predictive biomarker, and dual targeting of miR-185-mediated PAK6 activity and BCR-ABL1 may provide a valuable strategy for overcoming drug resistance in patients.

Indexed as

AnimalsDrug Resistance, NeoplasmGene Expression Regulation, LeukemicHeterograftsHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMiceMice, SCIDMicroRNAsNeoplastic Stem Cellsp21-Activated KinasesProtein Kinase InhibitorsSignal TransductionMicroRNAsMIRN185 microRNA, humanp21-Activated KinasesPAK6 protein, humanProtein Kinase Inhibitors

Identifiers

PMID32270193
PMCPMC7485576
OpenAlexW3015526907

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.