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The role of tumor markers for relapse detection in central nervous system non-germinomatous germ cell tumors (CNS-NGGCT): A pool analysis of cooperative group clinical trials.

2020· article· en· W3029377369 on OpenAlexaff
Adriana Fonseca, Cécile Faure‐Conter, Matthew J. Murray, Jason Fangusaro, Stewart Goldman, Shivani Bailey, Gabriele Calaminus, Soumen Khatua, Didier Frappaz, Girish Dhall, James C. Nicholson, Éric Bouffet, Ute Bartels

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineCogInternal medicineGerm cell tumorsClinical trialPopulationOncologyChemotherapyPathology

Abstract

fetched live from OpenAlex

2503 Background: CNS-NGGCT are rare tumors that have been successfully treated with multimodal therapies. With a 5-yr EFS and OS of 72-84% and 82-93% respectively, surveillance and relapse detection is essential. Tumor marker (TM) elevation has proven to be a highly sensitive method of relapse detection in extra-cranial-NGGCT. We aim to determine the role of TM for relapse surveillance in children and adolescents with CNS-NGGCTs. Methods: European and North American data from germ cell tumor trials (SIOP GCT96, SFOP-TGM TC 90/92, COG-ACNS0122 and COG-ACNS1123) were pooled for analysis. Additionally, patients treated in the UK, Germany and France under strict protocol-guidelines were included. Details regarding imaging, pathology and TM elevation at diagnosis and relapse were collected. We report the proportion of relapses detectable by TM elevation. Results: Four-hundred and eighty-four patients enrolled in prospective cooperative group CNS-NGGCT trials from 1989 to 2016 were pooled for analysis. One-hundred and thirteen (23%) patients experienced a relapse/progression (SIOP GCT96: n = 57; SFOP TGM TC 90-92 n = 23, COG-ACNS0122 n = 16 & COG-ACNS1123 n = 17) and constitute the population of this report. Median age at diagnosis was 13 (range:1-30) years. The most common primary location was pineal in n = 60 (53%) patients. The site of relapse was available for 100 patients, 48 patients relapsed locally, 36 relapsed with distant disease, combined relapses were seen in 22 patients and 4 patients relapsed with TM elevation alone. TM in serum and/or CSF at diagnosis was available in 93(82%) patients, and in 90(80%) patients at the time of relapse. Eighty-four patients had TM available at both timepoints. At diagnosis 81 (96%) patients had TM elevation and 3 (4%) had negative TM. At relapse, 74(94%) patients with positive TM at diagnosis had TM elevation, while 7(6%) had TM negative. Conversely, 2/3 patients with negative TM at diagnosis, relapsed with elevated TM. Conclusions: Herein, we have assembled the largest prospective cohort to date of relapsed intracranial germ cell tumors. TM are highly sensitive detecting relapse/progression in CNS-NGGCT patients with elevated TM at diagnosis. The routine use of TM for relapse surveillance in patients with CNS-NGGCT can decrease the frequency of cross-sectional imaging, therefore, reducing lengthy hospital visits, sedation procedures and decreasing health-care costs.

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)0.052
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.042
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.008
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.074
GPT teacher head0.416
Teacher spread0.342 · 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 designMeta-analysis
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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