Abstract 3331: Role of innate immune cells in the development of vessel co-opting CRC liver metastases
Bibliographic record
Abstract
Abstract Approximatively 50 % of patients who undergo resection for primary colorectal cancer will develop liver metastases. Liver metastases present as two major histopathological growth patterns (HGP) the desmoplastic and the replacement HGP. In the desmoplastic HGP, the cancer cells are surrounded by a desmoplastic stromal ring preventing their contact with the normal liver. In the replacement HGP, the cancer cells infiltrate the normal liver and replace hepatocytes near the tumour periphery. We have found that the desmoplastic HGP tumors derive their blood supply through angiogenesis while the replacement HGP tumors are non-angiogenic and co-opt the blood vessel of the liver they invade. Furthermore, we have published that patients under chemotherapy presenting with a vessel co-opting phenotype have a worse pathological response and five-year overall survival compared to patients presenting with angiogenic liver metastases. Their prognosis is worse when treated with bevacizumab an anti-VEGF antibody used alongside chemotherapy. CRCLM are considered immunologically cold lesions, with low numbers of infiltrating T-cells, and thought to be unlikely to benefit from immunotherapies. We have recently found that neutrophils and macrophages but not lymphocytes infiltrate vessel co-opting lesions to a greater extent than angiogenic lesions. Using flow cytometry and the Nanostring GeoMx spatial protein profiling platform capable of detecting up to 96 proteins simultaneously on FFPE tissue slices, we established the immunoprofile of immune cells recruited to angiogenic or vessel co-opting CRCLM lesions in chemonaive and treated patients. Many studies have demonstrated that neutrophils and macrophages play an important role in tumor progression, modification of the ECM, angiogenesis, and immunosuppression. We hypothesize that innate immune cells can facilitate blood vessel co-option of CRCLM lesions and contribute to an immunosupressive environment favorable to tumor growth. Fully understanding the role of the innate immune system in the developmend of vessel co-opting CRCLM tumors could allow for the development of immunotherapies capable of converting vessel co-opting lesions into angiogenic lesions that are more successfully treated with chemotherapy and anti-angiogenic therapies. Citation Format: Thomas Z. Mayer, Diane H. Kim, Miran Rada, Stephanie Petrillo, Anthoula Lazaris, Peter Metrakos. Role of innate immune cells in the development of vessel co-opting CRC liver metastases [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3331.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".