Whole genome and transcriptome analysis (WGTA) of metastatic adrenocortical carcinoma (mACC).
Bibliographic record
Abstract
509 Background: mACC is a rare disease, and no standard treatments exist beyond cytotoxic chemotherapy and mitotane. Recurrent molecular changes have been described, but their clinical significance is still poorly understood, and whether they can guide treatment is unknown. Methods: The genomic and transcriptomic profiles of 6 pts with mACC were analyzed as part of a prospective molecular profiling clinical trial. Findings were correlated with histopathological and clinical data. Results: Whole genome sequencing of six ACC tumors and matched normal tissues was performed; whole-transcriptome sequencing was performed on five of the six tumors. All cases met Weiss criteria for ACC (including 1 pt with oncocytic ACC). Profiling revealed gain of function variations in CTNBB1 gene in 3 cases (p.S45A, p.S45P and homozygous deletion of exons 2 and 3). A stop-gained mutation (Q167*) and a homozygous copy loss of TP53 gene was observed in 2 cases; mutations of CTNBB1 and TP53 co-occurred in one case. Variations in other DNA repair genes included BRCA2 E790* stop-gained mutation and a structural variation in RAD52. Copy number amplification was observed for KDM5A (2/6) and RAD52 (2/6), while NF1 (1/6), CDKN2A (1/6), CDKN2B (1/6) and RB1 (2/6) were subjected to homozygous copy losses. Average ploidy models: one diploid, 4 triploid and one tetraploid case; whole chromosome copy losses and gains were seen in all samples. Three cases showed high homologous repair deficiency scores; associated with respectively, an in-frame deletion of V613 in ATM, a TP53 homozygous loss, and a structural variant of RAD52. All six cases exhibit signature 3 or signature 8. At last follow-up, 2 pts remained alive. Treatments included cytotoxic chemotherapy, mitotane, streptozotocin, sunitinib, avelumab with a SMAC mimetic, a TTK inhibitor on the basis of a CTNNB1 mutation, and temozolomide with olaparib on the basis of ATM loss. Conclusions: Our findings recapitulate published data on the molecular profile of mACC and support previous findings of large scale chromosomal variation. We identify new potential drivers in chromatin remodelling, cell cycle, and DNA damage repair genes. (NCT02155621, NCT02022098, NCT02792465).
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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) | 0.001 | 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".