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Record W3095240416 · doi:10.1097/mph.0000000000001982

Clinical Outcomes of Children With Adrenocortical Carcinoma in the Context of Germline TP53 Status

2020· article· en· W3095240416 on OpenAlexafffundabout
Connor T. A. Brenna, Orli Michaeli, Jonathan D. Wasserman, David Malkin

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersCanadian Institutes of Health Research
KeywordsAdrenocortical carcinomaMedicineGermlineMalignancyCohortContext (archaeology)Li–Fraumeni syndromeRetrospective cohort studyMitotaneInternal medicineStage (stratigraphy)Germline mutationOncologyPediatricsMutationGeneticsBiology

Abstract

fetched live from OpenAlex

Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy of the adrenal cortex. This study characterizes a single-institution cohort of children treated for ACC, and explores the relationship between clinical outcomes of ACC and germline TP53 mutation status. We performed a retrospective chart review of 23 consecutive pediatric patients with ACC treated at The Hospital for Sick Children, Toronto, Canada, between 1977 and 2017. Clinical, biochemical, radiologic, pathologic, and genetic data were collected for each patient. ACC diagnosis followed a bimodal age distribution of 0 to 6 (n=17) and 12+ (n=6) years, with a female:male ratio of 3.6:1. Ten of 20 patients tested for germline TP53 status carried a pathogenic (9) or likely pathogenic (1) variant, including all but 1 male patient. Only 3 patients died of ACC-related causes, each 5 months post-diagnosis. When treated with resection and combination chemotherapy, carriers of germline TP53 mutations may respond more favorably than their wild-type counterparts. In addition, the survival of patients reported in our cohort with high-stage ACC was appreciably greater than previously described (100.0% for stage II, 50.0% for stage III, and 42.9% for stage IV), favoring aggressive intervention in these patient populations.

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)0.001
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 score0.023
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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)0.0000.000

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 head0.040
GPT teacher head0.353
Teacher spread0.313 · 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

Citations7
Published2020
Admission routes3
Has abstractyes

Explore more

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