Abstract 2515: Estrogen regulates the immune microenvironment of colorectal cancer liver metastases
Bibliographic record
Abstract
Abstract Liver metastases (LM) remain a major cause of cancer-related death and many cancers preferably metastasize to the liver due to its unique anatomical location, rich blood supply and immune-tolerant microenvironment. Up to 50% of colorectal carcinoma patients develop LM during their disease and this is associated with a poor prognosis. Our laboratory previously identified a sexual dimorphism in the regulation of the immune microenvironment (IME) of LM and showed that estrogen could promote the accumulation of myeloid-derived suppressor cells (MDSCs) and Tregs in the liver in response to invading cancer cells. The objective of this study was to elucidate the role of estrogen in the recruitment and polarization of monocytes/macrophages and in the accumulation and phenotype of natural killer (NK) cells in the IME of colorectal carcinoma LM (CRCLM). Moreover, we sought to determine the therapeutic potential of Selective Estrogen Receptor Degrader (SERD) therapy in tumor bearing female mice. In estrogen-competent female mice bearing CRCLM, we found increased gene and protein expression of the immunosuppressive cytokine TGF-β, and inversely a decrease in the pro-inflammatory cytokine TNF-alpha. Furthermore, we identified a significant increase of newly recruited, immunosuppressive CD68+F4/80+CD163+ M2 macrophages, as compared to estrogen-depleted (ovariectomized) mice. The recruitment of pro-inflammatory CD68+F4/80+TNF-alpha+ M1 macrophages, and the accumulation of the highly cytotoxic NK1.1+ CD49a+ liver NK cells were increased in estrogen-depleted female mice and could be restored upon estrogen supplementation. Moreover, treatment of female mice with the SERD Fulvestrant, markedly reduced the number of CRCLM compared to vehicle-treated mice, and significantly reduced the cell frequencies and counts of recruited myeloid cells and M2 macrophages in the liver. Taken together, our results identify estrogen as a critical regulator of an immunosuppressive tumor ME in the liver and a potential therapeutic target. Funding by the Canadian Institute of Health Research is gratefully acknowledged. Citation Format: Yasmine Benslimane, Sarah Lapin, Julien Chambon, Matthew Leibovitch, Stéphanie Perrino, Pnina Brodt. Estrogen regulates the immune microenvironment of colorectal cancer liver metastases [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2515.
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 | 0.000 |
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.
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".