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Serial FDG-PET imaging of metastatic prostate cancers reveals intrapatient intermetastases polyclonality through same patient heterogeneous responses to systemic therapy.

2017· article· en· W2603682673 on OpenAlexaff
Fannie Morin, Jean‐Mathieu Beauregard, Michelle Bergeron, Molière Nguilé-Makao, Louis Lacombe, Vincent Fradet, Yves Fradet, Frédéric Pouliot

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicRadiomics and Machine Learning in Medical Imaging
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineProstate cancerMetastasisOncologySystemic therapyTumour heterogeneityCancerUnivariate analysisInternal medicinePathologyMultivariate analysisBreast cancer

Abstract

fetched live from OpenAlex

e590 Background: Although intrapatient prostate cancer (PCa) metastasis polyclonality has been recently characterized by genomic and transcriptomic studies, systemic treatment response heterogeneity has yet to be reported or imaged. It remains unknown if polyclonal differentiation leads to heterogeneous treatment responses between metastases in a single patient undergoing therapy. Methods: Between 2010 and 2015, fifteen patients with metastatic PCa were imaged by FDG-PET/CT before and during systemic therapy, and metabolic response was recorded for individual metastatic lesions. Intermetastasis heterogeneity was defined by opposite metabolic responses of at least two metastases from the same compartment (bone or soft tissue) between the two scans. We examined intrapatient intermetastasis heterogeneity of response to systemic therapy based on the assessment of metabolic response in a total of 165 individual lesions (change in SUVmax, complete response, or new lesion). Change in total lesion glycolysis (TLG) was assessed for each patient. Biochemical response and progression-free survival (PFS) were also recorded. Results: Intrapatient intermetastasis response heterogeneity was found in 40% of cases. In univariate statistical analysis, response heterogeneity was associated with a decrease in PFS (p-value= 0.001), but not with age, CRPC status, Gleason score, PSA-DT, TLG, maximum SUVmax, or sum of SUVmax. In two cases, new metastasis and complete metastasis responses were observed in the same patients. Conclusions: Our results suggest that systemic therapies can induce heterogeneous responses among individual metastases in patients with PCa, supporting the polyclonal evolution of PCa in advanced disease. Molecular imaging may thus be useful to identify clinical resistance earlier after therapy initiation and could also enable targeted biopsy of resistant clones for molecular analysis.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.472
Teacher spread0.381 · 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
Published2017
Admission routes1
Has abstractyes

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