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Real world sequence of peptide receptor radionucleotide therapy (PRRT) and chemotherapy in patients with metastatic pancreatic neuroendocrine tumors (pNETs).

2023· article· en· W4379281689 on OpenAlexaffabout
William J. Phillips, Elena Tsvetkova, Macyn Leung, Gautham Nair, Stephen Welch, David Laidley, Tim Asmis, Michael M. Vickers, Morgan Black, Robin Sachdeva, Horia Marginean, Rachel Goodwin

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsWestern UniversityOttawa HospitalLondon Health Sciences CentreSt Joseph's Health CareUniversity of Ottawa
FundersIpsen
KeywordsMedicineRadionuclide therapyInternal medicineNeuroendocrine tumorsOncologyChemotherapyOctreotideCancerSomatostatin

Abstract

fetched live from OpenAlex

e16237 Background: Peptide Receptor Radionuclide Therapy (PRRT) is an effective therapy for advanced pNETs but carries long-term risks of myeloid neoplasia. Early data from United States centres may suggest a higher risk of myelodysplasia and leukemia in patients treated with temozolomide prior to PRRT. The objective of this study is to characterize the sequence of PRRT and chemotherapy at two Canadian pNET treatment centres, distinguished by the availability of PRRT. Methods: This is a multicentre retrospective cohort study involving The Ottawa Hospital Cancer Centre (TOHCC; PRRT non-treatment centre (PRRT-NTC)) and London Regional Cancer Centre (LRCC; PRRT treatment centre (PRRT-TC). Patients with histologically confirmed pNETs between January 2010 – June 2021 over the age 18 (n=226), with metastatic disease (n=177) were included. Demographic, clinical and cancer treatments were collected. Descriptive statistics were used to evaluate the sequence of systemic therapy. Results: 177 patients with metastatic pNET were identified. Systemic therapies included octreotide (n=59, 40%), lanreotide (n=47, 32%), targeted agents (n=40, 27%), chemotherapy (n=48, 33%) and PRRT (n=47, 32%). Of patients receiving chemotherapy, 22 (46%) received temozolomide-containing regimens. The most frequent first line therapies were somatostatin analogues (SSAs, n=76, 43%), chemotherapy (n=23, 13%) and observation (n=18, 10%), second-line were PRRT (n=24, 14%), targeted therapy (n=26, 15%) and SSA (n=13, 7%), and third-line were PRRT (n=15, 9%), chemotherapy (n=11, 6%) and targeted therapy (n=8, 5%). There were 83 (47%) patients treated at the PRRT-TC, of which 33 (40%) received PRRT prior to chemotherapy and 7 (8%) received temozolomide-containing therapy prior to PRRT. In comparison, 94 (53%) patients were treated at the PRRT-NTC, of which 1 (1%) received PRRT prior to chemotherapy and 0 (0%) received PRRT prior to temozolomide-containing therapy. Conclusions: In this large cohort of metastatic pNET patients, the sequence of chemotherapy and PRRT showed centre-to-centre variability with patients treated at a PRRT-TC being more likely to receive chemotherapy, including temozolomide, prior to PRRT. This may be explained in-part by referral/practice patterns, and PRRT availability. These findings suggest an opportunity to evaluate and optimize the sequence of systemic therapy with the increasing availability of PRRT.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.093
GPT teacher head0.442
Teacher spread0.349 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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