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Correlation of a novel whole blood RT-PCR assay measuring AR-V7 expression with outcomes in metastatic castration-resistant prostate cancer (mCRPC) patients treated with abiraterone acetate (ABI).

2016· article· en· W2589397571 on OpenAlexaff
Tilman Todenhöfer, Arun Azad, Jian Gao, Bernhard J. Eigl, Peter C. Black, Anthony M. Joshua, Kim N.

Bibliographic record

VenueJournal of Clinical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMedicineProstate cancerEnzalutamideCirculating tumor cellInternal medicineDocetaxelOncologyCancerTMPRSS2Androgen receptorClinical endpointUrologyClinical trialMetastasisDisease

Abstract

fetched live from OpenAlex

223 Background: Expression of androgen receptor splice variant 7 (AR-V7) in circulating tumor cells (CTCs) has been associated with resistance to ABI and enzalutamide (ENZ) (Antonarakis et al. N Engl J Med 2014). We have developed a RT-PCR assay that is neither time sensitive nor requires CTC enrichment for detection of prostate cancer (PCa)-associated transcripts in whole blood. Using this assay, our aim was to correlate AR-V7 expression with outcomes on ABI. Methods: 2.5 ml whole blood was collected into PAXgene RNA tubes from mCRPC patients (pts) commencing ABI. RT-PCR was performed for the following genes: AR-V7, FOXA1, GRHL2, HOXB13, KLK2, KLK3 and TMPRSS2:ERG. For each gene, the highest CT value among 20 normal controls was set as the threshold for a positive (+) test. Clinical endpoints were PSA50 response rate (RR) (PSA decline ≥ 50% confirmed ≥ 3 weeks later), PSA30 RR, time to PSA (PCWG2 criteria) or clinical progression (change in anti-cancer therapy or decline in ECOG performance status (PS) ≥ 2 levels due to PCa), and overall survival (OS). Results: Whole blood samples were obtained from 37 pts. Median age was 70. 59% received prior docetaxel. All pts were ABI and ENZ naïve. PSA50 RR was 37% and PSA30 RR was 48%. Median progression-free survival (PFS) was 3.8 months (mos) and median OS was 21.0 mos. 11% (4/37) of pts were AR-V7+. AR-V7+ pts were more likely to have high ALP (P= 0.04; Χ2), high LDH (P= 0.07) and ECOG PS ≥ 2 (P= 0.052). Pts with an AR-V7+ test had lower PSA50 RR (0% vs. 42%, P= 0.10; Χ2) and PSA30 RR (0% vs. 52%, P= 0.051) together with shorter median PFS (0.7 mos vs. 4.0 mos, P< 0.001; log-rank) and median OS (5.5 mos vs. 22.1 mos, P< 0.001). Other factors linked with worse OS were high ALP (P= 0.02), liver metastases (P= 0.03), ≤ 36 mos on primary hormone therapy (P= 0.04), HOXB13+ (P= 0.03) and KLK2+ (P< 0.001). Conclusions: RT-PCR detection of AR-V7 transcripts in whole blood was associated with a 0% PSA RR and significantly inferior PFS and OS in pts treated with ABI. These results reinforce the potential utility of AR-V7 as a prognostic and predictive biomarker for mCRPC. Validation of the assay in larger datasets is ongoing.

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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.122
GPT teacher head0.421
Teacher spread0.299 · 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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Citations5
Published2016
Admission routes1
Has abstractyes

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