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Alternative model to deliver germline genetic testing to patients with advanced prostate cancer (PCa).

2023· article· en· W4388201390 on OpenAlexaff
Natalie Reizine, Karine Tawagi, Neha Hippalgaonkar, Kirsten Drabek, Vivian Pan, Kent Hoskins, Tara Maga, Lara Balay

Bibliographic record

VenueJCO Oncology Practice · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineGenetic counselingGenetic testingGermlineReferralOncologyFamily medicineInternal medicineGenetics

Abstract

fetched live from OpenAlex

123 Background: Genomic testing is now standard-of-care (SOC) for PCa patients with both therapeutic and hereditable consequences. National guidelines recommend germline testing in all high-risk and advanced PCa patients, regardless of age or family history. Yet, many systemic barriers prevent patients from receiving germline testing promptly, including the burden of appointments, comorbidities, transportation, provider knowledge of genetic testing, and insufficient genetics workforce that limits timely referral to genetic counselors. Methods: We developed a streamlined, alternative genetic care delivery model to improve rates of germline genetic testing for PCa patients. A multidisciplinary team (genitourinary medical oncologists, advanced practice RN, and genetic counselors) developed a tailored pre- and posttest counseling curriculum for PCa patients undergoing germline testing that was delivered by oncology providers. Pretest counseling was incorporated into SOC counseling for somatic tumor genomic testing performed to personalize therapeutics. Systematic posttest counseling was delivered by oncology providers, and men with germline pathogenic/likely pathogenic (P/LP) variants were referred to certified genetic counselors for formal genetic counseling. We retrospectively collected data on PCa patients treated at an academic oncology practice who underwent paired germline/somatic testing through a commercial lab accompanied by tailored pre/posttest counseling, including demographics, clinical characteristics, and germline test results. We performed quarterly audits to monitor quality metrics. Results: From September 2021 to May 2023, seventy-five PCa patients underwent paired germline/somatic tumor testing. The racial/ethnically diverse patient population (self-identified) included 81% Black, 13% Hispanic, and 6% non-Hispanic White men. At the time of analysis, 64 tests had resulted; 9.4% of patients (n=6) had a P/LP germline variant, and 31.2% of patients (n=20) tested negative. The majority of patients (59.4%, n=38) had a variant of unknown significance (VUS). Additional data will be available at the time of presentation. Conclusions: Providing paired germline/somatic tumor testing with tailored pre/posttest education delivered by oncology providers, and formal genetic counseling reserved for patients with P/LP germline variants, is an efficient way to provide guideline-directed genetic services for PCa patients. Given the frequency of VUS, education for pre/posttest counseling is essential, particularly in under-represented minority populations. The frequency of actionable mutations is reduced in underrepresented minority PCa patients compared with reports in the literature, reflecting limitations of current germline testing/bioinformatics platforms and the need for greater inclusion of diverse populations in future studies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.026
GPT teacher head0.357
Teacher spread0.331 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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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Citations1
Published2023
Admission routes1
Has abstractyes

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