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Record W4405040232 · doi:10.1182/blood-2024-210688

Depletion of CD59 Inhibits the Proliferation and Survival of Acute Myeloid Leukemia Cells By Altering Lipid Raft Composition and Suppression of Raf/MEK/ERK Signaling

2024· article· en· W4405040232 on OpenAlexaff
Abdula Maher, Séverine Cathelin, Dhanoop Manikoth Ayyathan, Yitong Yang, Alex C.H. Liu, Mohsen Hosseini, Steven M. Chan

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMAPK/ERK pathwayMyeloid leukemiaCancer researchLeukemiaCell biologySignal transductionMyeloidImmunologyBiologyChemistry

Abstract

fetched live from OpenAlex

Treatment outcomes for acute myeloid leukemia (AML) patients vary greatly based on patient characteristics, such as age and the genetic makeup of leukemic cells. In particular, older patients (>60 years), patients with complex cytogenetics, and patients with TP53 mutations are more resistant to frontline treatment and have dismal overall survival. The lack of effective treatment options for this high-risk patient population presents the need to identify novel therapeutic targets. We previously reported that the membrane regulatory protein, CD59, is a marker for poor prognosis in AML, with increased CD59 expression associated with refractory disease, TP53 mutational status, and shorter overall survival. CD59 is a GPI-anchored protein which mainly inhibits the formation of the membrane attack complex of the complement system. Using doxycycline-inducible short-hairpin RNAs against CD59 (shCD59) and a non-targeting control (shNT), we showed that CD59 knockdown leads to G0/G1 cell cycle arrest and increased cell death in AML cell lines. Importantly, we confirmed a complement-independent role of CD59 as the effect of CD59 knockdown is not rescued by heat-inactivation of fetal bovine serum, a procedure which inactivates the complement proteins in cell culture medium. Here, we build upon our findings by testing for in vivo efficacy. We transplanted NOD/SCID/IL2Ry-null (NSG) mice with AML cells which were transduced with doxycycline-inducible shCD59 or shNT-encoding lentiviral vectors. Doxycycline-treated mice transplanted with shCD59-expressing cells had a 1000-fold lower leukemic burden and significantly longer overall survival in comparison to doxycycline-treated mice transplanted with shNT-expressing cells or vehicle-treated mice transplanted with shCD59 or shNT-expressing cells. To investigate the mechanism through which CD59 expression promotes AML proliferation, we performed RNA-sequencing and mass spectrometry-based phospho-proteomic profiling of shCD59 and shNT-expressing AML cells. Differential gene expression and pathway enrichment analyses revealed a downregulation of genes involved in cell cycle and DNA replication upon CD59 knockdown. This indicated that CD59 influences the activation of pathways that control cell cycling. As such, we employed a kinase activity prediction algorithm which predicted a decrease in extracellular-signal regulated kinase 1 (ERK1) activity. As effector proteins of the Ras/Raf/MEK signaling pathway, ERK1/2 are well-documented drivers of G1-S phase transition in AML. We therefore probed for active MEK1/2 and ERK1/2 levels via western blotting and confirmed a decrease in p-MEK1/2 (S217/221) and p-ERK1/2 (T202/Y204) expression following CD59 knockdown, whereas total MEK1/2 and ERK1/2 levels were unchanged. This finding indicated that CD59 signals upstream of MEK1/2 to influence ERK1/2 activation. As CD59 is reported to cluster within lipid rafts, which are important sites for signal transduction, we predicted that CD59 downregulation alters lipid raft signaling. First, we probed for the abundance of the lipid raft marker, GM1, via immunofluorescence microscopy and observed an increase in GM1 staining intensity in shCD59-expressing cells versus shNT-expressing cells. As various proteins compete for lipid raft localization, we reasoned that CD59 depletion, and subsequent increase in GM1 abundance, leads to a change in the protein composition of lipid rafts. Therefore, we isolated the lipid raft and cytosolic fractions from shCD59 and shNT-expressing cells and probed for Ras, c-Raf, and MEK1/2 expression. We observed increased Ras and c-Raf expression in the lipid raft compartment following CD59 knockdown, whereas there was no change in MEK1/2 expression. Furthermore, there was no change in the level of active Ras (GTP-bound Ras) between shCD59 and shNT-expressing cells. Thus, these findings indicate that CD59 depletion increases Ras and c-Raf localization to the lipid raft fraction which prevents MEK1/2 and ERK1/2 activation. In summary, we demonstrate that reducing CD59 expression prevents the proliferation of AML cells in a complement-independent manner. We propose a model in which CD59 depletion alters the composition of lipid rafts, thereby supressing ERK signaling which leads to cell cycle arrest. Our findings provide the rationale for exploring CD59 as a therapeutic target against this deadly disease.

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 score0.003

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)0.0010.000

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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