<scp> <i>GREB1</i> </scp> ‐rearranged uterine tumour shares a common <scp>DNA</scp> methylation signature with <scp> <i>ESR1</i> </scp> ‐rearranged <scp>UTROSCT</scp>
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: GREB1-rearranged uterine tumours encompass a group of uterine mesenchymal tumours with varied histologic appearances. The fusion partners to GREB1 include NCOA1-3, SS18 and NR4A3. Given that some GREB1-rearranged uterine tumours exhibit histologic features of uterine tumours resembling ovarian sex cord tumour (UTROSCT), there is a general belief that GREB1-rearranged uterine mesenchymal tumours are part of the UTROSCT family. METHODS: In this study, we applied global DNA methylation and copy number analyses to a series of 10 GREB1-rearranged uterine tumours and 21 classic UTROSCTs (7 of which were molecularly confirmed to harbour ESR1::NCOA2/3 fusions). RESULTS: We found that GREB1-rearranged uterine tumors show an overlap in their global methylation profiles with UTROSCT, including ESR1::NCOA2/3 positive cases. Together, these tumours form a DNA methylation cluster separate from uterine smooth muscle tumours (leiomyomas and leiomyosarcomas), endometrial stromal sarcomas (low-grade and high-grade), embryonal rhabdomyosarcoma and SMARCA4-deficient uterine sarcomas. However, despite their epigenetic similarity, there were two notable differences. First, GREB1-rearranged uterine tumours as a group displayed a greater degree of genomic complexity with more extensive copy number alterations than conventional UTROSCTs, including those harbouring ESR1::NCOA2/3. Second, GREB1-rearranged uterine tumours frequently lacked overt sex cord morphology: while all 7 ESR1::NCOA2/3 UTROSCTs demonstrated corded, nested, trabecular and/or tubular/sertoliform patterns, only 1 GREB1-rearranged uterine tumour displayed a prominent trabecular pattern, with the remaining cases showing exclusively or predominantly diffuse/solid growth. CONCLUSIONS: Overall, our findings confirm that GREB1-rearranged uterine tumours are part of the UTROSCT spectrum, though they frequently exhibit a more diffuse growth pattern and a higher degree of genomic instability.
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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 | 0.001 | 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) | 0.001 | 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 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".