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Abstract A009: Genetic disruption of CAPNS1 impedes triple-negative breast cancer metastasis: A case for selective calpain-1/2 inhibitors

2024· article· en· W4405182115 on OpenAlexaffabout
Danielle Harper, Іван Шаповалов, Samantha Cockburn, Jenny Min, Yan Gao, Peter A. Greer

Bibliographic record

VenueMolecular Cancer Therapeutics · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalpain Protease Function and Regulation
Canadian institutionsQueen's University
Fundersnot available
KeywordsCalpainCancer researchBiologyMetastasisCancerCell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Calpains are a family of 15 calcium-activated cysteine proteases that have emerged as potential therapeutic targets in triple negative breast cancer (TNBC). They regulate the function of their substrates via limited proteolytic processing and are involved in both pro- and anti-apoptotic signaling pathways, as well as membrane-cytoskeletal remodeling events associated with cell migration and invasion. The most well-understood members of the calpain family are the classical calpain-1 and calpain-2 isoforms, which are ubiquitously expressed heterodimers each consisting of a large catalytic subunit, encoded by the capn1 and capn2 genes, respectively, and a common small regulatory subunit encoded by capns1. Overexpression of calpain-1 and calpain-2 has been associated with shorter survival in HER2+ breast cancer and TNBC, respectively. We hypothesize that inhibition of calpain-1 and calpain-2 may be exploited to improve tumor response to cytotoxic chemotherapy and suppress metastasis. CRISPR-Cas9 mediated knockout of capns1 in AC2M2 mouse mammary carcinoma cells, which results in a loss of both calpain-1 and calpain-2 activity, disrupts migration and invasion in vitro and impedes lung metastasis in tail vein and orthotopic engraftment mouse models. Calpain knockout also sensitizes AC2M2 cells to the microtubule stabilizing drug paclitaxel, and preliminary results suggest that cancer cell intrinsic calpain depletion may prevent neoadjuvant chemotherapy-induced metastasis. To explore potential off-target effects associated with systemic calpain inhibition, we have established a novel transgenic mouse with conditional deletion of capns1 in its hematopoietic stem cell lineage. By comparing the immune profiles of wild-type and capns1 knockout mice, we aim to better understand how calpain inhibitors will affect various immune cell populations and their respective functions. We plan to extend this understanding to anticancer immunity by conducting tumor immunophenotyping experiments in syngeneic orthotopic engraftment models using wild-type and capns1 knockout mice. At present, no clinically relevant calpain inhibitors are available. However, using genetic approaches, we have validated calpain-1 and calpain-2 as relevant therapeutic targets in TNBC, providing rationale for the development of selective calpain inhibitors. Citation Format: Danielle Harper, Ivan Shapovalov, Samantha Cockburn, Jenny Min, Yan Gao, Peter A. Greer. Genetic disruption of CAPNS1 impedes triple-negative breast cancer metastasis: A case for selective calpain-1/2 inhibitors [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Optimizing Therapeutic Efficacy and Tolerability through Cancer Chemistry; 2024 Dec 9-11; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(12_Suppl):Abstract nr A009.

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 score0.083
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 head0.016
GPT teacher head0.304
Teacher spread0.288 · 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
Published2024
Admission routes2
Has abstractyes

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