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Abstract PO2-25-01: Tumor Derived Chitinase-3 like 1 Induces Neutrophil Extracellular Traps that Promote T cell Exclusion and Resistance to Immunotherapies in Breast Cancer

2024· article· en· W4396587404 on OpenAlexaff
Tarek Taifour, Sherif Samer Attalla, Dongmei Zuo, Yu Gu, Virginie Sanguin‐Gendreau, Hailey Dall-Proud, Emilie Solymoss, Tung Bui, Hellen Kuasne, Vasilios Papavasiliou, Chun Geun Lee, Suchitra Kamle, Peter M. Siegel, Jack A. Elias, Morag Park, William A. Müller

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeutrophil extracellular trapsChitinaseCancerExtracellularBreast cancerMedicineImmunologyCancer researchInternal medicineBiologyInflammationEnzymeCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Breast cancer remains the most prevalent cancer and a major cause of mortality affecting women worldwide. Chemotherapy along with radiation and surgery have long been the standard of care for breast cancer patients. However, devastating side effects, resistance to treatments and relapse are major concerns for patients and physicians. With the rise of immunotherapies as a treatment option for various cancers, there is a critical need to understand the mechanisms through which cancers evade the immune system. Targeting such mechanisms holds the key to improve patient response to immunotherapy, especially in breast cancer where efficacy rates remain low. In a subset of poor outcome Triple Negative Breast Cancers, cytotoxic T cells are excluded from the tumor nest and restricted to the surrounding stroma, a phenomenon known as stromal restriction. Our data from genetically engineered mouse models and human tumors identified that the secreted cytokine Chitinase-3 like 1 (Chi3l1) promotes stromal restriction of T cells in several tumor types including breast, lung and colon. Chi3l1 ablation in pre-clinical models of breast cancer results in increased T cell infiltration into the tumor nest which delayed mammary tumorigenesis and improved response to immunotherapy. We further demonstrate that Chi3l1 promotes T cell exclusion through the direct induction and deposition of neutrophil extracellular traps (NETs) which form a barrier that restricts T cell entry. Neutrophil depletion or pharmacological disruption of NET formation abrogates Chi3l1-induced T cell exclusion and histologically phenocopies Chi3l1 ablation. Thus, our results indicate that Chi3l1 is a major immunosuppressive cytokine that promotes breast cancer progression by inducing NET formation and inhibiting T cell infiltration. Given the importance of T cell infiltration in immune elimination of nascent tumors, the future targeting of Chi3l1 should improve immunotherapy efficacy and outcomes in patients with tumors characterized by a T cell excluded microenvironment. Citation Format: Tarek Taifour, Sherif Samer Attalla, Dongmei Zuo, Yu Gu, Virginie Sanguin-Gendreau, Hailey Dall-Proud, Emilie Solymoss, Tung Bui, Hellen Kuasne, Vasilios Papavasiliou, Chun Geun Lee, Suchitra Kamle, Peter Siegel, Jack Elias, Morag Park, William Muller. Tumor Derived Chitinase-3 like 1 Induces Neutrophil Extracellular Traps that Promote T cell Exclusion and Resistance to Immunotherapies in Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-25-01.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.038
GPT teacher head0.315
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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