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Record W2562742960 · doi:10.1016/s1525-0016(16)33761-3

156. Cationic Lipopolymers for BCR-ABL siRNA Delivery and Growth Arrest in Chronic Myeloid Leukemia Tumors

2015· article· en· W2562742960 on OpenAlexaff
Juliana Valencia‐Serna, K.C.B. Remant, Xiaohong Yang, Hamid M. Aliabadi, Manoj B. Parmar, Xiaoyan Jiang, Hasan Uludağ

Bibliographic record

VenueMolecular Therapy · 2015
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsUniversity of British ColumbiaBC Cancer AgencyUniversity of Alberta
Fundersnot available
KeywordsMyeloid leukemiaK562 cellsChemistryCancer researchGene silencingLipofectamineOncogeneMolecular biologyBiologyBiochemistryCellCell cycleVector (molecular biology)

Abstract

fetched live from OpenAlex

Chronic Myeloid Leukemia (CML) is a disease initiated by hematopoietic stem cells after chromosomal translocation, which results in a BCR-ABL fusion oncogene. This fusion causes permanent activation of ABL tyrosine kinase that leads to myeloid cell expansion and accumulation of immature blast in bone marrow and bloodstream [1]. The shortcomings of current leukemia treatments i.e., acquired drug resistance and drug insensitivity, call for development of new treatments [2]. To this end, we have designed a carrier system using cationic lipo-polymers and evaluated the potential of siRNA therapy in vitro and in vivo using this polymer system. Cationic lipo-polymers were prepared by grafting aliphatic lipids (palmitic acid, PA, α-linoleic acid, αLA and carboxyl end-capped αLA) onto 1.2 kDa polyethyleneimine (PEI) via N-acylation [3]. The carboxyl-end capped αLA (tαLA) was prepared by coupling αLA with mercaptopropionic acid through thio-ester linkage. Structural functionalities of tαLA and modified PEIs were analyzed through 1H-NMR spectroscopy and TNBS assay. GFP-expressing CML cells (GFP-K562 cells) were used as cell model and siRNA specific to BCR-ABL as therapeutic model. To create polymer/siRNA complexes that are more conducive for dissociation, polyanionic additive (hyaluronic acid, HA) was incorporated along with siRNA to PEI- tαLA complexes. GFP silencing efficacy of PEI in GFP-K562 cells was significantly increased (~ 60%) by hydrophobic modification and it was higher/or comparable to commercial agents, e.g. Lipofectamine™ 2000, Turbofect™ and PEI25. Addition of HA into complexes further increased the GFP silencing efficacy (~ 80%). A significant cell growth arrest was observed in day-6 and day-9 in GFP-K562 cells compared to control groups after the treatment with PEI1.2-αLA/BCR-ABL complexes. To evaluate the in vivo therapeutic efficacy, five-week old female nu-nu mice (Taconic Farms) were employed as animal models. Subcutaneous treatment (vicinity of the tumor) with PEI1.2-αLA/BCR-ABL was substantially effective in reducing tumor volumes starting from day 3 (Figure 1). ddPCR supports this silencing effect by revealing a reduction in BCR-ABL mRNA expression. Similar results were found when tumors were injected with siRNA intra-peritoneally. These preliminary results demonstrate the use of hydrophobically modified small molecular weight PEIs as effective carriers for siRNA delivery and therefore their potential for therapeutic use in the treatment of CML.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.269
Teacher spread0.248 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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