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Australasian Gastro-Intestinal Trials Group (AGITG) STOPNET: A randomized study of cessation of somatostatin analogues (SSA) after peptide receptor radionuclide therapy (PRRT) in mid, hind-gut, and pancreatic neuroendocrine tumours.

2025· article· en· W4410815972 on OpenAlexafffundabout
Matthew Burge, David Wyld, David A. Pattison, Sandra Bahamad, Julia C. Kuszewski, Lorraine A. Chantrill, Timothy Price, Hui‐Li Wong, David Chan, Piyush Grover, Michalis Michael, Ho Wai Derrick Siu, Christine A. Bishop, Daniel Barker, Rachel Goodwin, Christopher J. O’Callaghan, Jonathan M. Loree, Winifred Mak

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of British ColumbiaQueen's UniversityOttawa Hospital
FundersCanadian Institutes of Health ResearchTour de Cure
KeywordsRadionuclide therapyPeptide receptorSomatostatinMedicineSomatostatin receptorInternal medicineNeuroendocrine tumorsGastroenterologyOncologyReceptorEndocrinology

Abstract

fetched live from OpenAlex

TPS4224 Background: PRRT is a standard therapeutic option for patients with metastatic well-differentiated somatostatin receptor-positive gastroenteropancreatic neuroendocrine tumours (GEP-NETs) following progression on SSA. It is uncertain whether current practice of continuing SSA after commencing PRRT is beneficial, especially in non-functioning NETs. Studies by Yordanova et al. (2018) and Sygula et al. (2022) have included heterogenous study populations and yielded conflicting results. Methods: STOPNET is a prospective, randomized, non-comparative, open-label, multi-center phase II trial led by the AGITG in collaboration with the Canadian Cancer Trials Group (CCTG) under the Commonwealth Neuroendocrine Tumor research collaborative (CommNETS). The trial aims to evaluate the outcomes of SSA cessation or continuation in patients with GEP-NETs undergoing PRRT after progression on SSA. The co-primary endpoints are 20-month PFS and feasibility for a phase III trial, assessed by recruitment over a 24-month period & patient acceptance of SSA cessation. Secondary endpoints include OS, rate of SSA recommencement, time to subsequent therapy, quality of life, cost-effectiveness and psycho-oncological impacts of SSA cessation. Eligible participants must have advanced or unresectable WHO grade 1/2 non-functioning GEP-NETs (excluding the foregut), and disease progression after receiving ≥3 months of SSA at standard growth-control doses. SSA must have been primarily commenced for growth control, as opposed to functional symptoms and for mid/hindgut NET’s 24-hr urine 5-hydroxyindoleacetic acid must be < 1.5 times upper limit normal at screening. Participants will be randomized 2:1 to SSA cessation or continuation. SSA cessation arm will receive their last SSA ≥28 days prior to first PRRT, and the SSA continuation arm will continue SSA during and after PRRT. Following PRRT, participants will be assessed every 12 weeks (minimum 20 months) until disease progression or study closure, whichever occurs first. The sample size was calculated using Fleming’s single stage design, assuming uninteresting and interesting 20-month PFS rates of 60% and 77% respectively. Novel translational research will be conducted to define and validate NET tissue and circulating biomarkers, with a particular focus on analysis of microRNA. Formalin-fixed paraffin-embedded (FFPE) tumor tissue will be retrieved (if available), with the collection of bloods at 3 time-points during study. The trial implemented the Australian Teletrial Program (ATP) to enhance equity of access for participants in regional, rural or remote locations. The trial will enroll 78 participants across 13 sites. Enrolment is open at 1 site in Australia & 4 sites in Canada, with 3 participants randomized as of Jan 2025. Clinical trial information: NCT06345079 .

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.091
GPT teacher head0.467
Teacher spread0.376 · 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 designRandomized 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

Citations0
Published2025
Admission routes3
Has abstractyes

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