Abstract PO028: Embryonic protein NODAL as a potential modulator of the tumour microenvironment: Breast cancer secretome reprogramming and fibroblast activation
Bibliographic record
Abstract
Abstract The tumour microenvironment (TME), consisting of stromal cell types including fibroblasts, endothelial, immune and mesenchymal stromal cells (MSCs), is an important mediator of breast cancer (BCa) progression. BCa cells regulate the composition of the TME by secreting a myriad of factors; however, mechanisms governing the dynamic reciprocity between BCa and TME components are largely unknown. Cancer-associated fibroblasts (CAFs) are a major stromal component in many BCa and have been shown to be activated by BCa cells. MSCs recruited to the TME are an important source of CAFs in many cancers; therefore, characterizing the factors involved in MSC recruitment could provide additional avenues for therapeutic intervention by disrupting the TME in BCa. NODAL, an embryonic morphogen belonging to the TGF-beta superfamily, is clinically associated with BCa progression, and has been shown to sustain BCa stem cells and to promote tumour growth, metastasis, and vascularization. Herein, we report that NODAL expression positively correlates with the presence of CAFs in the stroma of triple-negative human BCa tissues, as determined by NODAL and a-smooth muscle Actin (SMA) staining. Further, our in vitro studies show that NODAL directly induces primary fibroblast activation and chemotaxis. Proteomic analysis of the conditioned media of NODAL-overexpressing MDA-MB-231 and SUM149 BCa cells by mass spectrometry reveal that NODAL reprograms BCa secretomes by simultaneously altering levels of chemokines (e.g. CXCL1), growth factors (e.g. PDGFRA) and cytokines (e.g. IL-6), and that the NODAL-regulated secretome, but not NODAL directly, impacts the ability of BCa cells to affect MSC chemotaxis. We provide evidence that IL-6 promotes MSC chemotaxis, and further discuss the context-dependent effects of NODAL in BCa cell lines. Collectively, our results suggest that factors present in NODAL-regulated secretomes may induce MSC recruitment to the breast TME, where they may contribute to CAF population, therefore demonstrating a hitherto unappreciated role of NODAL as a dynamic regulator of breast TME components. Citation Format: Dylan Dieters-Castator, Paola M. Dantonio, Matt Piaseczny, Guihua Zhang, Jiahui Liu, Miljan Kuljanin, Stephen Sherman, Michael Jewer, Katherine Quesnel, Eun-Young Kang, Martin Köbel, Gabrielle M. Siegers, Andrew Leask, David Hess, Gilles Lajoie, Lynne-Marie Postovit. Embryonic protein NODAL as a potential modulator of the tumour microenvironment: Breast cancer secretome reprogramming and fibroblast activation [abstract]. In: Proceedings of the AACR Virtual Special Conference on the Evolving Tumor Microenvironment in Cancer Progression: Mechanisms and Emerging Therapeutic Opportunities; in association with the Tumor Microenvironment (TME) Working Group; 2021 Jan 11-12. Philadelphia (PA): AACR; Cancer Res 2021;81(5 Suppl):Abstract nr PO028.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".