Molecular subtyping of endometrial carcinoma cell lines uncovers subtype-specific targetable vulnerabilities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Endometrial carcinoma (EC), the most common gynecologic cancer type in developed countries, encompasses four molecular subtypes (POLEmut, MMRd, p53abn, and NSMP) that have prognostic values and guide treatment decisions. Additionally, dual loss of ARID1A and ARID1B (referred to as ARID1A/B) characterizes a significant portion of dedifferentiated/undifferentiated EC (DD/UDEC), a rare but highly aggressive subtype of EC. To advance the translational research for ECs, we analyzed the genomic features of a panel of 39 EC cell lines, leading to the identification of cell lines representing each of these EC molecular subtype. Histologic and immunohistochemical analyses of xenografted tumors from these cell lines confirmed their resemblance of cognate primary EC molecular subtypes. Further investigation of the publicly available genome-wide CRISPR screen data for EC cell lines identified multiple specific genetic dependencies in MMRd, p53abn, and ARID1A/B-dual deficient EC cell lines. Particularly, ARID1A/B-dual deficient DD/UDEC cells selectively rely on mitochondrial oxidative phosphorylation in vitro and in vivo. Therefore, through molecular subtyping of EC cell lines and subsequent characterization of molecular subtype-specific genetic dependencies, our study provides a framework that guides the utility of the EC cell line models for accelerating translational research in EC.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 it