MétaCan
Menu
Back to cohort

AGCT1531: Evaluating the utility of circulating microRNA in the management of children, adolescents, and adults with malignant germ cell tumors.

2023· article· en· W4379334158 on OpenAlexaff
Furqan Shaikh, Aditya Bagrodia, James F. Amatruda, Michelle M. Nuño, Matthew J. Murray, Nicholas Coleman, Sara Stoneham, John T. Lafin, Cinzia G. Scarpini, Mark Krailo, Jin Piao, Farzana Pashankar, A. Lindsay Frazier

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsHospital for Sick Children
FundersNational Institutes of Health
KeywordsMedicineSeminomaGerm cell tumorsOncologyBiomarkerInternal medicineClinical endpointProspective cohort studyStage (stratigraphy)Clinical trialChemotherapy

Abstract

fetched live from OpenAlex

TPS5104 Background: Conventional serum tumor markers for malignant germ cell tumors (MGCTs) have limited performance characteristics, especially in non-secreting histologies such as embryonal carcinoma or seminoma. Growing evidence has shown circulating microRNAs (miRNA), particularly miR-371a-3p, to be a more sensitive biomarker, elevated across all MGCT subtypes except teratoma. However, studies to date have been retrospective or non-randomized. If confirmed in prospective clinical trials, circulating miRNA may have the potential to become a universal MGCT biomarker, aiding in diagnosis, prognostication, relapse detection, and prediction of viable disease after chemotherapy. One of the key objectives of AGCT1531 is to test the performance characteristics of circulating miRNA in children, adolescents, and young adults (AYAs) with low-risk and standard-risk MGCTs. AGCT1531 is unique among MGCT trials for including patients across all ages, genders, sites, histologies, and treatments. Methods: AGCT1531 is a prospective clinical trial sponsored by the Children’s Oncology Group (COG), co-designed with United Kingdom, Japan, and India, and supported by all NCTN groups. It has three strata for low-risk tumors, defined as stage I tumors treated with surgery followed by active surveillance: non-seminomatous tumors of any site; testis seminomas; and ovarian immature teratomas. Patients of any age are eligible. Target accruals are 432, 277, and 212 patients, respectively. Key endpoints include overall and event-free survival and longitudinal measurements of circulating miRNA. Serum is collected at intervals aligned with NCCN follow-up guidelines to minimize testing burden. For patients over 11 years old with stage I non-seminomatous tumors, serum is collected at enrollment, months 4, 8, 12, 18, and 24; and (if applicable) at relapse. The trial also has two strata for standard-risk MGCTs: SR1 for children under age 11 years and SR2 for AYAs age 11-25 years. Target accruals are 518 and 595 patients, respectively. Both strata are randomized trials of cisplatin-based versus carboplatin-based regimens, with carboplatin used at doses higher than those previously tested in adult MGCTs. Serum collection is recommended at enrollment, months 6, 12, 18, 24, and (if applicable) at relapse. AGCT1531 was activated in August 2017. The low-risk seminoma stratum was added on November 2021. The trial is currently open at 466 sites across seven countries. For adults with testicular GCTs, data from AGCT1531 can contribute to joint analyses of parallel trials evaluating circulating miR-371a-3p in this population: SWOG1823, ANZUP1906 (CLIMATE), and ANZUP P3BEP. Together, this suite of trials will help validate the utility of circulating miRNA and set the stage for future investigations where miRNA is used to influence real-time management decisions for patients with MGCTs. Clinical trial information: NCT03067181 .

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.093
GPT teacher head0.436
Teacher spread0.344 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicTesticular diseases and treatmentsFrench-language works237,207