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Whole genome and transcriptome analysis (WGTA) of metastatic adrenocortical carcinoma (mACC).

2019· article· en· W2921016615 on OpenAlexaff
Jean‐Michel Lavoie, Veronika Csizmók, Gang Wang, Laura Williamson, Marco A. Marra, Janessa Laskin, Steven J.M. Jones, Daniel J. Renouf, Christian Kollmannsberger

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsBC Cancer AgencyCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsCDKN2AGeneticsCopy number analysisBAP1TranscriptomeBiologyExonGeneCopy-number variationCancer researchGenomeMedicineGene expression

Abstract

fetched live from OpenAlex

e16123 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 (NCT02155621). 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 germline FANCA Q1362* and somatic BRCA2 E790* stop-gained mutations, 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 (NCT02022098), a TTK inhibitor (NCT02792465) 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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.089
GPT teacher head0.429
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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