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Record W3097781129 · doi:10.1182/blood-2020-141952

Overcoming Multidrug Resistance in B Cell Malignancies By Antagonism of Stromal Mediated TGF-β Signalling

2020· article· en· W3097781129 on OpenAlexaff
Eugene Park, Jingyu Chen, A. P. Moore, Michael Leitges, Seth Frietze, Ingo Ringshausen

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsStromal cellCancer researchTumor microenvironmentStromaBiologyCancer cellLeukemiaDrug resistanceMedicineCancerImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Novel targeted therapies have substantially improved the prognosis of patients with B cell malignancies. However, a substantial fraction of patients still relapse, even after initially achieving deep remissions. Many studies have characterized the interactions between tumor cells and their microenvironment as integral to leukemia/ lymphoma homeostasis and for the provision of survival signals, also contributing to drug resistance (referred to as environment-mediated drug resistance (EMDR)). Therapeutic efforts to antagonize microenvironment-emanating survival cues have predominantly focused on perturbation of tumour cell adhesion enabling the physical displacement from protective niches (e.g. BCR-inhibitors). In an effort to address whether direct stromal targeting could more precisely mitigate EMDR, we recently characterised the molecular mechanisms underlying tumor-stroma interactions in B cell malignancies and identified a protein kinase C-β (PKC-β) as an essential kinase, required for activation of NF-κB in mesenchymal stromal cells (Lutzny et al Cancer Cell 2013). The dependency on stroma PKC-β was uniformly found for acute (ALL) and chronic (CLL, MCL) B cell malignancies. Importantly, our data further demonstrate that targeting stroma PKC-β is of key importance for multi-drug resistance of malignant B cells and can be used for therapeutic interventions (Park et al Science Trans Med 2020). Here we demonstrate novel mechanistic insights into stroma-mediated drug resistance in B cell malignancies. We identified that stroma PKC-β drives a transcriptional program in tumor cells, dependent on the activation of TGF-β and BMP-signaling, which ultimately leads to the stabilisation of BCL-XL. Our data show that BCL-XL expression in tumor cells is associated with SMAD1-induction by cytotoxic therapies, which simultaneously suppress SMAD4 expression. Importantly, SMAD1 expression was strictly dependent on stromal PKC-β activity. Antagonizing stroma signals with TGF-β inhibitors inhibits SMAD1 induction, abrogates the up-regulation of BCL-XL and overcomes stroma-dependent resistance to Venetoclax and conventional chemotherapy. The TGF-β pathway operates in parallel to the activation of the transcription factor EB (TFEB) as a down-stream target of PKC-β. Interference with these signaling pathways impairs plasma membrane integrity of stromal cells by down-regulation of numerous adhesion and signaling molecules, such as ADAM17, required for the reciprocal stabilization of BCL-XL in tumor cells. The significance of microenvironment PKC-β for drug resistance was demonstrated in vivo, using C57B/6 mice, diseased with EμTCL-1 driven B cell tumors and treated with Venetoclax in combination with or without PKC-β inhibitors. Combined treatment significantly prolonged survival, based on PKC-β mediated impairment of EMDR. Similarly, concurrent treatment of PKC-β inhibitors with chemotherapy also improved survival in an ALL-PDx model Our data demonstrate that mitigating EMDR with small molecule inhibitors of PKC-β or TGF-β signalling enhance the effectiveness of both targeted and non-targeted chemotherapies and moreover, has the ability to overcome Venetoclax resistance in B cell malignancies. Clinical trials with repurposed drugs inhibiting the here described pathways mediating EMDR are in planning. Disclosures No relevant conflicts of interest to declare. OffLabel Disclosure: Midostaurin as inhibitor of stroma PKC-β

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)0.0010.000

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 head0.008
GPT teacher head0.209
Teacher spread0.201 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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