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UnCHAARTED territory: The role of docetaxel rechallenge following chemohormonal therapy for metastatic castrate-sensitive prostate cancer.

2021· article· en· W3134704630 on OpenAlexaffabout
Mary Mahler, Esmail Mutahar Al-Ezzi, Noa Shani Shrem, Eric Winquist, Christina M. Canil, Michael Ong, Aaron R. Hansen, Urban Emmenegger

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of OttawaLondon Health Sciences CentreWestern UniversityPrincess Margaret Cancer CentreOttawa HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsDocetaxelMedicineProstate cancerOncologyMetastasisInternal medicineCancerUrology

Abstract

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117 Background: Since docetaxel has been advanced to the metastatic castrate-sensitive prostate cancer (mCSPC) setting, there is a lack of evidence guiding its re-introduction upon castrate-resistant (CR) progression. We sought to identify clinical characteristics and outcomes of patients subjected to docetaxel rechallenge (DR) following prior docetaxel exposure in the mCSPC realm. Methods: Patients rechallenged with docetaxel following treatment in the mCSPC setting were identified from three academic centres in Ontario, Canada. Retrospective chart reviews were performed to identify clinical, treatment and outcome variables. Results: Of the 45 patients with DR initiated between 06/2015 and 07/2020, the median age was 65, 60% had a Gleason score of ≥8, and 64% had an ECOG of ≤1. 56% had bone only metastasis, 4% lymph node only metastasis, 29% bone and lymph node metastasis, and 11% had visceral metastasis. In the mCSPC setting, 98% of patients received 6 cycles of docetaxel with 13% requiring dose delays. Of 43 informative patients, all had a PSA response to chemohormonal therapy. 91% achieved at least a 50% PSA response (PSA50), of which 40% had a 50-89% PSA reduction and 51% had a ≥90% PSA reduction. 29% of patients obtained a PSA nadir of < 0.2 ng/mL. 16% had CR progression in < 6 months, 56% in 6-12 months, and 28% in > 12 months. DR was initiated after a median of 20.8 months (range 6.0-40.4) following the last dose of docetaxel for mCSPC, and was given as first line treatment for CR disease to 7%, second line to 51%, third line to 40%, and fourth line or beyond to 2% of patients. 69% of patients had received an androgen-receptor axis targeted therapy prior to DR, 18% radium 223, and 7% had received a trial drug. Notably, no patients had received cabazitaxel prior to DR. The median number of cycles of docetaxel received at rechallenge was 5 (range 1-11) with 18% of patients requiring treatment delays. 64% of patients stopped treatment due to progression, 16% due to side effects, 7% at the patient’s request, 7% due to completion of the planned number of cycles, and 6% due to death or other causes. Among 44 informative patients, 23% achieved at least a PSA50, with 18% having a 50-90% PSA reduction, and 5% having a ≥90% PSA reduction. The median time to progression (biochemical, radiographic, or death) was 2.3 months (95%CI 1.7-4.4) and the median overall survival was 11.0 months (95%CI 8.5-14.3). Conclusions: DR following exposure to docetaxel in the mCSPC setting resulted in a PSA50 in only around one quarter of patients. Both the median time to progression and overall survival were found to be short. With future investigations, we hope to identify clinical variables that will help predict which patients might benefit most from DR.

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)0.002
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 score0.062
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.196
GPT teacher head0.504
Teacher spread0.308 · 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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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