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CCTG EN10: A phase II study of tailored adjuvant therapy in <i>POLE</i>-mutated and p53-wildtype/NSMP early-stage endometrial cancer (EC)—RAINBO BLUE and TAPER.

2023· article· en· W4379282660 on OpenAlexaffabout
Jessica N. McAlpine, Kathy Han, Mary Kinloch, Maroie Barkati, Sarah E. Ferguson, Anthony Fyles, Fleur Huang, Iwa Kong, Janice S. Kwon, Helen Mackay, Mark Carey, Stephen Welch, Tjalling Bosse, Carien L. Creutzberg, Nanda Horeweg, Alexandra Léary, Wen‐ling Liu, Dongsheng Tu, Wendy R. Parulekar

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsQueen's UniversityLondon Health Sciences CentreSaskatchewan Health AuthorityVancouver Coastal HealthUniversity Health NetworkHealth Sciences CentreSunnybrook Health Science CentreUniversity of British ColumbiaUniversity of AlbertaCentre Hospitalier de l’Université de MontréalBC Cancer AgencyPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineEndometrial cancerLymphovascular invasionStage (stratigraphy)OncologyHysterectomyInternal medicineClinical endpointAdjuvant therapyBrachytherapyCancerClinical trialMetastasisSurgeryRadiation therapy

Abstract

fetched live from OpenAlex

TPS5632 Background: Molecular classification of EC provides an opportunity to personalize treatment for patients with early disease based on prognosis. We hypothesize that de-escalated adjuvant treatment in patients with early-stage POLE-mutated ( POLEmut) or p53wt/NSMP (p53 wildtype/no specific molecular profile) EC is feasible and associated with favourable disease control, QOL and health economics. Methods: EN.10 is a Canadian Cancer Trials Group led phase II trial that enrolls two independent cohorts of patients with early stage EC based on tumour molecular status: POLEmut (substudy A) and p53wt/NSMP (substudy B). The primary objective is to estimate the 3-year rate of pelvic recurrence. Secondary objectives include estimated 3-year isolated vaginal recurrence, para-aortic recurrence, distant metastasis, survival (recurrence-free, EC-specific, overall survival) and to describe the patient decisional conflict and fear of recurrence. Tertiary objectives: QOL, economic evaluation and interrogation/discovery of additional prognostic biomarkers. Statistical Design: Registration to Substudy A or B is based on molecular classification. Treatment will be deescalated in both substudies; to surveillance-only (all early stage POLEmut, and a proportion of NSMP), or vaginal brachytherapy (proportion of NSMP), with NSMP stratification based on histological grade, and lymphovascular invasion. Substudy A can enroll endometrioid, serous, clear cell, un/dedifferentiated and carcinosarcomas whereas Substudy B is confined to endometrioid histotype. Both arms require ECOG 0-2 and hysterectomy+BSO with nodal assessment required for stage II and grade 3 EC. A total of 120 patients with POLEmut (Sub-study A) and 180 with p53wt/NSMP ER+ (Sub-study B) EC will be recruited in 3 years. If the upper 95% confidence limit is less than 5% in either of Substudy A, Cohort A1 and Sub-study B or both, it will be concluded that patients in one or both groups have an acceptable low risk of pelvic recurrence at 3 years with molecularly-tailored de-escalated adjuvant treatment An additional estimated 25 patients with higher risk POLEmut EC will be enrolled for an exploratory analysis. Conduct to Date: Study activation Dec 19 2022. Enrollment January 31, 2023: 36 Supported by Canadian Cancer Society, Canadian Institutes of Health Research, Gynecologic Cancer Initiative, BC Cancer Foundation. Clinical trial information: NCT05640999 .

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.173
GPT teacher head0.504
Teacher spread0.332 · 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 designNon-randomized trial
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

Citations6
Published2023
Admission routes2
Has abstractyes

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