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Pelvic clinical node-positive prostate cancer: Impact of radiotherapy and nodal disease burden.

2023· article· en· W4324136905 on OpenAlexaff
Tony Felefly, Alborz Jooya, Selena Laprade, Soumyajit Roy, Shawn Malone, Scott C. Morgan

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineProstate cancerAndrogen deprivation therapyContext (archaeology)Radiation therapyInternal medicineHazard ratioOncologyUnivariate analysisProstateProportional hazards modelPopulationCancerMultivariate analysisUrologyConfidence interval

Abstract

fetched live from OpenAlex

338 Background: The optimal management of pelvic clinical node-positive (cN1) prostate cancer remains controversial and randomized evidence for local therapy is lacking. Recent data suggests that common iliac nodal metastases (CIM), while technically constituting M1a disease, are more common than previously recognized and might carry a prognosis similar to that of cN1 disease when treated radically. In this context, we reviewed the experience at our center of treating cN1 prostate cancer, with or without CIM, focusing on the role of radiotherapy (RT) and measures of nodal disease burden. Methods: The study population consisted of men diagnosed between 2002 and 2018 with prostate cancer with cN1 disease and/or CIM and treated with androgen deprivation therapy and/or definitive local therapy. Outcomes of interest included overall survival (OS) and castration resistance-free survival (CRFS), which were estimated using the Kaplan-Meier method. Univariate and multivariate Cox regression were used to identify factors associated with OS and CRFS. In the subgroup of patients treated with RT, the association between a number of RT characteristics – including biologically effective dose (BED) to the prostate, use of elective pelvic nodal RT, and escalated dose (RT boost) to positive nodes – and OS was studied. Results: A total of 87 patients were included, of whom 14 had CIM and 68 received RT. Median follow-up was 110 months. On univariate analysis, RT was associated with improved OS (hazard ratio [HR] 0.28, 95% CI 0.14-0.55, p<0.0005) and CRFS (HR 0.22, 95% CI 0.12-0.41, p<0.0005). Median OS in patients receiving RT was 134.9 months versus 63.1 months in those not receiving RT. Receipt of RT remained significantly associated with OS on multivariate analysis (HR 0.12, 95% CI 0.05-0.31, p<0.001). Biopsy Gleason score 10 and presence of >2 positive lymph nodes were associated with worse OS while presence of CIM was not associated with OS. In patients treated with RT, increasing BED to the prostate was associated with improved OS (HR 0.73 per 10 Gy increase, 95% CI 0.54-0.97, p=0.03) while use of elective pelvic nodal RT and use of an RT boost to positive nodes were not associated with OS. Conclusions: This is the first cohort to evaluate the impact of RT in pelvic clinical node-positive prostate cancer that includes CIM. Receipt of RT was associated with improved oncologic outcomes. The number of positive pelvic nodes, but not their common iliac location, was prognostic and warrants further investigation in a larger dataset.

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)0.002
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.121
GPT teacher head0.554
Teacher spread0.433 · 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 routes1
Has abstractyes

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