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Abstract PO-62: Overcoming venetoclax resistance in B-cell malignancies by antagonism of stromal TGF-beta-mediated drug resistance

2020· article· en· W3107639073 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBlood Cancer Discovery · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsStromal cellCancer researchTumor microenvironmentStromaVenetoclaxDrug resistanceBiologyLeukemiaMedicineImmunologyChemistryChronic lymphocytic leukemiaTumor cells

Abstract

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Abstract Novel targeted therapies have substantially improved the prognosis of patients with B-cell malignancies. However, a substantial fraction of patients 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 tumor cell adhesion enabling the physical displacement from protective niches. In an effort to address whether direct stromal targeting could more precisely mitigate EMDR, we antagonized stromal expressed PKC-beta, which we have previously shown to be a stroma-autonomous signaling pathway critical for the survival of malignant B cells (Lutzny et al., Cancer Cell 2013). The dependency on stroma PKC-b was uniformly found for acute (ALL) and chronic (CLL, MCL) B-cell malignancies. In particular, our data demonstrate that stroma PKC-b is of key importance for multidrug resistance of malignant B cells (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-b drives a transcriptional program, activating TGF-b and BMP-signaling in tumor cells. Our data show that antagonizing stroma signals with TGF-b inhibitors abrogated upregulation of BCL-XL and overcomes stroma-dependent resistance to venetoclax. This activation operates in parallel to the activation of the transcription factor EB (TFEB) as a downstream target of PKC-b. Interference with these signaling pathways impairs plasma membrane integrity of MSCs by downregulation of numerous adhesion and signaling molecules (e.g., ADAM17), required for the reciprocal stabilization of BCL-XL in tumor cells. The significance of microenvironment PKC-b for drug resistance was demonstrated in vivo, using C57B/6 mice, diseased with EuTCL-1 driven B-cell tumors and treated with venetoclax in combination with or without enzastaurin (PKC-b inhibitor). Combined treatment significantly prolonged survival, based on PKC-b mediated impairment of lysosome biogenesis in vivo. Similarly, concurrent treatment of PKC-b inhibitors with chemotherapy also improved survival in an ALL-PDx model. Our data demonstrate that mitigating EMDR with small-molecule inhibitors of PKC-b or TGF-b signaling enhances the effectiveness of both targeted and nontargeted chemotherapies and, moreover, has the ability to overcome venetoclax resistance in B-cell malignancies in vivo. A clinical trial to test the dual inhibition of stroma and tumor cells in lymphoma patients is in preparation. Citation Format: Eugene Park, Jingyu Chen, Andrew Moore, Maurizio Mangolini, Joseph R. Byod, Hilde Schjerven, James C. Williamson, Paul J. Lehner, Michael Leitges, Alexander Egle, Marc Schmidt-Supprian, Seth Frietze, Ingo Ringshausen. Overcoming venetoclax resistance in B-cell malignancies by antagonism of stromal TGF-beta-mediated drug resistance [abstract]. In: Proceedings of the AACR Virtual Meeting: Advances in Malignant Lymphoma; 2020 Aug 17-19. Philadelphia (PA): AACR; Blood Cancer Discov 2020;1(3_Suppl):Abstract nr PO-62.

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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 score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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