Abstract B45: De novo generation of highly aggressive human breast tumors by rapid serial passaging of oncogene-transduced starting populations of purified normal cells
Bibliographic record
Abstract
Abstract Human breast cancers are clonal outgrowths that have diversified genetically and biologically by the time they are clinically evident. However, early events that predicate malignant transformation of normal human mammary epithelial cells and the importance of the specific cell type to first be altered has remained elusive. We have developed an in vivo system that allows analysis of the initial steps of tumorigenesis from defined subsets of normal human mammary cells within 8 weeks using a single (KRASG12D) or multiple oncogenes. Using a protocol in which we first isolate biologically, transcriptionally and phenotypically different human mammary cell types by FACS using EpCAM and CD49f or CD10 as distinguishing markers, and then transduce the cells with lentiviral constructs, and immediately transplant them into highly immunodeficient NOD/RAG1-/-IL2rγ-/- (NRG) female mice, we have found that invasive ductal carcinomas expressing a variety of basal and luminal-associated markers (such as CK5, CK8/18, EGFR and MUC1) can be obtained at high frequency from purified starting populations of both basal cells and luminal progenitors within 8 weeks. Many tumours could be passaged both in vivo and under multiple conditions in vitro (on collagen, in suspension “mammopshere” culture or 3D matrigel cultures). After only 4passages in vivo, an aggressive tumor cell line that is tumorigenic within 6 weeks in vivo at unit efficiency has emerged. Intravenous injections shown that these cells can colonize multiple organs including the lung, kidney and spleen. Molecular characterization of these aggressive tumors has established that they are EpCAM+ and CD44+. Additional examples of de novo tumors able to be serially passaged are now being characterized. This new tumorigenesis model will allow us to compare the sequential changes that accompany and underlie the full process of malignant progression and should thus enable key molecular determinants that drive cancer initiation and progression to be identified. Citation Format: Sylvain Lefort, Davide Pellacani, Long Nguyen, Connie J. Eaves. De novo generation of highly aggressive human breast tumors by rapid serial passaging of oncogene-transduced starting populations of purified normal cells. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr B45.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".