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Record W2886703310 · doi:10.1158/1538-7445.am2018-ng06

Abstract NG06: The clinico-genomics of localized, non-indolent prostate cancer: the CPC-GENE experience

2018· article· en· W2886703310 on OpenAlexaffabout
Michael Fraser, Theodorus van der Kwast, Robert G. Bristow

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity Health NetworkCanadian Cancer SocietyOntario Institute for Cancer Research
Fundersnot available
KeywordsProstate cancerGenomicsCancerMedicineOncologyInternal medicineGeneBiologyGeneticsGenome

Abstract

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Abstract Prostate cancer is the most frequently-diagnosed non-skin malignancy in North American men, with an estimated 250,000 new cases diagnosed each year. Since the introduction of prostate-specific antigen (PSA) testing in the mid-1990s, the vast majority of new cases are diagnosed as organ-confined disease, and are thus potentially curable. However, localized prostate cancer shows enormous heterogeneity in clinical outcomes, in part because the current clinical prognostic factors - biopsy Gleason Score, serum PSA concentration, and clinical T stage - do not accurately predict risk of aggressive disease for an individual man, despite substantial recent improvements in physical targeting such as dose-escalated external beam radiotherapy, high dose rate (HDR) brachytherapy, and robot-assisted radical prostatectomy. As such, there is an urgent need for improved biological targeting of these tumors, through identification of novel prognostic biomarkers that accurately distinguish indolent from aggressive disease, allowing for triage of individual men into treatment paradigms that are more likely to minimize unnecessary side effects and improve cure rates. Recent developments in massively parallel DNA sequencing and bio-computing technology have allowed for unprecedented insights into the fundamental mutational processes underlying most human cancers, as evidenced by the successes of consortia such as ICGC, TCGA, and others. Unfortunately, few studies have directly examined the links between recurrent somatic driver events and long-term clinical outcome. This is particularly true of prostate cancer, where the long natural history and low mutational burden of localized disease makes this difficult. For this reason, we launched the Canadian Prostate Cancer Genome Network (CPC-GENE) in 2011 as an outcomes-driven initiative to characterize the molecular landscape of localized, potentially curable prostate cancer, to identify prognostic and predictive biomarkers of adverse clinical outcomes, and to link these findings to novel clinical trials of treatment escalation/de-escalation. To date, CPC-GENE has sequenced the whole genomes of 427 tumors (with patient-matched normal samples) from men with localized prostate cancer, supplemented by detailed profiling of tumor methylomes, proteomes, transcriptomes, chromatin structure, and assessment of adverse histopathologies such as intraductal carcinoma of the prostate or cribriform architecture (IDC-P). Crucially, each patient in the CPC-GENE cohort has at least 5 years of clinical follow-up (current median = 9.7 years), allowing for a detailed assessment of the molecular correlates of differential clinical outcome in a homogeneously staged clinical cohort. CPC-GENE includes men who underwent either radical prostatectomy or image-guided radiotherapy for localized prostate cancer; the latter cohort includes a unique repository of fresh frozen, pre-radiotherapy biopsies, allowing for novel insights into the molecular determinants of the radiation response in primary prostate cancers, and for the development of predictive biomarkers of clinical outcome following curative intent radiotherapy. Using DNA copy number profiling, we developed a 100-locus genomic signature that predicts rapid biochemical and metastatic recurrence in a cohort of men who underwent image-guided radiotherapy for intermediate risk prostate cancer. This signature validated in three independent patient cohorts, across NCCN risk groups and in patients who underwent radical prostatectomy. This signature outperformed a set of published and/or FDA-approved RNA-based prognostic signatures, and is enriched for genes involved in lipid metabolism, consistent with the established role for obesity and metabolic syndrome as negative prognostic factors for prostate cancer outcomes. We subsequently refined the signature to a 31-locus classifier, which has been adapted to a CLIA-compatible NanoString nCounter platform for translation into novel clinical trials. In parallel, we analyzed 200 whole-genome sequences and 477 whole-exome sequences from localized, non-indolent prostate cancers, and demonstrated that, in contrast to metastatic disease, these cancers have a paucity of clinically-actionable SNVs. Instead, a significant proportion of tumors harbor recurrent non-coding aberrations, large-scale genomic rearrangements, and a novel mode whereby an inversion represses transcription within its boundaries. We developed a 6-feature, multi-parametric clinico-genomic signature of rapid biochemical recurrence, which outperformed well-described prognostic biomarkers like MYC amplification, NKX3-1 and PTEN deletion, and percentage genome alteration. We also demonstrated that recurrent mutations in the mitochondrial genome are associated with somatic nuclear aberrations (e.g. MYC amplification) and predict poor clinical outcomes for localized prostate cancer. Our group has also assessed the spatio-temporal evolution of localized prostate cancer. We showed that multi-focal prostate cancer is associated with substantial genomic heterogeneity, including aberrations that are prognostic for clinical outcome. This implies that a more complete analysis of a putative mutational ‘field defect' is required to accurately characterize the importance of subclonal alterations that may lead to poor prognosis. CPC-GENE has also explored the molecular landscape of familial prostate cancers associated with deleterious germline mutations in the BRCA2 gene, and demonstrated that these cancers possess genomic and epigenomic profiles that more closely resemble those of metastatic castration-resistant prostate cancer than localized, non-familial disease. Lethal BRCA2-mutant prostate cancer is also associated with the presence of intraductal carcinoma of the prostate (IDC-P), the latter of which shows enrichment of molecular aberrations associated with poor prognosis, including up-regulation of the long non-coding RNA SChLAP1, as part of an evolutionary process termed nimbosus (Greek: ‘gathering of storm clouds'), which portends negative clinical outcomes. We are currently investigating additional somatic and germline indices of clinical outcomes for prostate cancers, and surveying the clinical genomics of prostate cancers in men treated with additional modalities (i.e. active surveillance, HDR brachytherapy, ADT, etc). We are also validating our findings in large, prospective, population-linked cohorts and exploring novel platforms to rapidly translate these findings to the prostate cancer clinic, including bespoke targeted sequencing panels and CLIA-certified custom arrays. Finally, we are assessing the health economic impact of prognostic biomarkers (ours and others), as well as patient and caregiver attitudes towards clinical genomics. Taken together, these data substantially increase our understanding of the fundamental molecular processes underlying localized prostate cancer, and strongly support the hypothesis that a robust characterization of the prostate cancer genome will be essential to define novel biomarkers that accurately stratify risk of aggressive disease in newly-diagnosed men. These findings will inform precision medicine protocols for localized prostate cancer, thereby improving clinical outcomes and increasing cure rates for the nearly one quarter-of-a-million North American men diagnosed each year. Citation Format: Michael E. Fraser, Theodorus van der Kwast, Robert G. Bristow, Michael E. Fraser. The clinico-genomics of localized, non-indolent prostate cancer: the CPC-GENE experience [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr NG06.

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)0.006
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.123
GPT teacher head0.474
Teacher spread0.351 · 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
Published2018
Admission routes2
Has abstractyes

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