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Inhibitory Effects of Icaritin on TKI-Resistant CML Cells through Disruption of the BCR-ABL-GRB2-RAS-MAPK Signaling Pathway

2014· article· en· W2519147980 on OpenAlexaff
Min Chen, Ali G. Turhan, Bo Zhang, Hongxia Ding, Qingcong Lin, Kun Meng, Xiaoyan Jiang

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsNilotinibDasatinibCancer researchImatinib mesylateTyrosine kinaseImatinibMyeloid leukemiaStem cellPopulationMedicineProgenitor cellTyrosine-kinase inhibitorBiologyCancerInternal medicineCell biologyReceptor

Abstract

fetched live from OpenAlex

Abstract The ABL tyrosine kinase inhibitor (TKI) Imatinib Mesylate (IM) is effective at inducing clinical remission in early phase chronic myeloid leukemia (CML) patients, but is not curative. Early relapses and acquired drug resistance remain some issues in IM-treated patients. In particular, relapses are frequently associated with point mutations in the BCR-ABL tyrosine kinase domain (TK, > 50%). Newer TKIs, dasatinib (DA) and nilotinib, have increased potency over IM and show a broader spectrum of activity against mutant forms of BCR-ABL. However, none of these agents is able to target a critical T315I gatekeeper mutation of BCR-ABL in TKI-resistant patients. We have demonstrated that CML stem cells are genetically unstable and generate many BCR-ABL TK mutations in vitro and in vivo. They are also less responsive to TKIs and are a critical target population for TKI-resistance. Thus improved treatment approaches to specifically target CML stem cells and BCR-ABL-T315I resistant cells are clearly needed. It has recently been reported that estrogen receptor variant ERα36 is highly deregulated not only in breast cancer cells, but also in liver cancer and leukemic cells, and that targeting this specific variant with a small molecular inhibitor (Icaritin, SNG162) inhibits CML cell growth. However, the underlying molecular mechanisms of these observations are not understood. Whether this inhibitor, alone or in combination with new ABL inhibitors, can target primary CML stem/progenitor cells and T315I-resistant cells have also not been investigated. In this study, we utilized two cell line model systems: K562 cells and IM-resistant K562 cells without BCR-ABL TK mutation and human UT7 cells expressing either wild type BCR-ABL or carrying the BCR-ABL-T315I mutation. We have now demonstrated that protein expression of ERα36 is highly upregulated in both IM-resistant and BCR-ABL-T315I mutant cells as compared to control cells. Interestingly, the use of pre-clinically validated ERα36 inhibitors (SNG162 and SNG1153) alone inhibits cell growth and induces apoptosis of these cells. BCR-ABL-T315I cells are more sensitive to ERα36 inhibitors treatment, with twofold increases in Annexin V+ cells detected in BCR-ABL-T315I cells after SNG1153 treatment, compared to those detected in BCR-ABL expressing cells. These effects can be further enhanced by combination treatment with a TKI. Importantly, we have discovered that treatment of IM-resistant and BCR-ABL-T315I mutant cells with SNG162 and SNG1153 inhibitors, alone or with a TKI, significantly reduced phosphorylation of BCR-ABL on tyrosine residue 177 (Tyr177), a residue essential for BCR-ABL induced leukemogenesis through its binding to GRB2 and activation of the downstream RAS-MAPK pathway. This new observation was supported by detection of a significant reduction in phosphorylation of MEK1/2 kinase, an important component of the RAS-MAPK pathway, in these cells. Most importantly, IP-Western analysis further demonstrated that the BCR-ABL-GRB2 protein interaction was markedly interrupted in cells treated with SNG inhibitors plus a TKI, which correlates with reduced phosphorylation of Tyr177 in these cells. Moreover, colony-forming cell (CFC) assays showed that SNG inhibitors (SNG162 and SNG1153) in combination with a TKI are more effective at inhibiting growth of CD34+ treatment-naïve IM-nonresponder cells as compared to single drug treatment (46% vs. 25%). We further demonstrated that SNG162 and SNG1153 (up to 10 μM and 5 uM) are not toxic to CD34+ normal bone marrow cells. Interestingly, a combination treatment of DA plus SNG1153 dramatically reduced the level of engrafted leukemic cells in transplanted immunodeficient NSG mice and prolonged the survival of these mice compared to mice treated with DA alone. Median survival of DA treated mice is 87.5 days, while some DA and SNG1153 treated mice remain alive for more than 102 days after transplantation. ERα36 thus emerges as an attractive druggable target for combination therapies to target TKI-insensitive CML stem/progenitor cells and T315I-resistant cells. Disclosures Zhang: Shenogen Pharma Group Ltd: Employment. Ding:Shenogen Pharma Group Ltd: Employment. Lin:Shenogen Pharma Group Ltd: Employment. Meng:Shenogen Pharma Group Ltd: Employment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.224
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2014
Admission routes1
Has abstractyes

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