Abstract PO5-25-02: Microenvironment based co-culture dependence of breast cancer and immune cell interactions on functional outcomes
Bibliographic record
Abstract
Abstract The tumour microenvironment (TME) includes physical forces from interstitial fluid flow and cell-cell interactions that modulate cancer development and progression through activation of multiple oncogenic pathways leading to tumor growth and metastatic spreading. We previously reported on the role of physical forces on epithelial to mesenchymal transition (EMT) and S100 gene family expression and cell to cell adhesion properties with implications to normal breast development and cancer. Signals from the tumor exit the local tumor environment through interstitial fluid transport and cell migration where they can be found in the blood stream. We developed a whole blood RNA gene expression biomarker panel coupled with proprietary software capable of identifying the presence of an active breast cancer signature at early stages of disease with clinical study results previously reported. Here we report on results from transcriptomic and function studies with cell interaction models. Cancer cells can influence immune cells through direct contact or via secreted molecules causing the immune cells to undergo functional changes. To investigate mechanisms involved in the induction of these alterations in a model system, we performed co-culture studies with human monocytic cells and breast cancer cells. Interaction of human monocytic cells with the breast cancer cells caused significant changes in both behavior and transcriptomes. Moreover, using RNAseq and pathway analysis we demonstrated that the changes induced through the exposure to the more aggressive triple negative (TNBC) phenotype were distinct from the alterations triggered upon contact with an ER+ breast cancer cell line. We also show that cancer-immune crosstalk triggers EMT as well as activation of multiple oncogenic pathways associated with cell migration and invasion, cell chemotaxis and cell-to-cell interactions. As the interplay between cancer and immune cells plays an important role in cancer progression, these findings provide important insight into key mechanisms controlling these outcomes. Citation Format: Karen Norek, Jacob Kennard, Kenneth Fuh, Robert Shepherd, Kristina Rinker, Olesya Kharenko. Microenvironment based co-culture dependence of breast cancer and immune cell interactions on functional outcomes [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 PO5-25-02.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".