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Record W2339720302 · doi:10.1158/1538-7445.pedca15-a37

Abstract A37: De novo and transmitted germline TP53 variation in pediatric osteosarcoma: A report from the Children's Oncology Group

2016· article· en· W2339720302 on OpenAlexaboutno aff
Logan G. Spector, Ian Lock, John Lane, Aaron L. Sarver, Mark Krailo, Rajaram Nagarajan, Nathan Pankratz

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsExonGermlineGenotypingBiologyIndelGeneticsOsteosarcomaMedicineOncologyCancer researchGeneGenotypeSingle-nucleotide polymorphism

Abstract

fetched live from OpenAlex

Abstract Pathogenic germline variation in TP53, usually accompanied by familial Li-Fraumeni syndrome (LFS), is known to underly a small proportion of pediatric osteosarcoma (OS). However, the extent to which de novo mutations and rare but mildly deleterious variation in TP53 are found in the genomes of OS patients is only now coming into focus with next-generation sequencing. We recruited 285 patients with OS diagnosed at <20 years of age from North American Children's Oncology Group institutions between December, 2007 and March, 2010. Oragene saliva collection kits (DNA Genotek, Ottawa, Canada) or buccal swabs for DNA extraction were collected from patients and their parents, resulting in 229 complete triads and 59 dyads. From these, 95 triads were selected for whole exome sequencing (WES) based on the availability of both patient and parent samples and sufficient DNA mass. Libraries were created using the Agilent SureSelect All Exon V5+UTRs kit and were sequenced using a HiSeq 2000 that generated 100bp paired end reads with an average insert size of 188.8bp. We implemented the best practices as delineated in the GATK pipeline, including using BWA-MEM for alignment, GATK for quality recalibration and indel realignment, and GATK HaplotypeCaller for genotyping. On average, 35.0 million reads were delivered per sample, and the average read depth was 36.4x coverage. The average proportion of TP53 exons covered at 20x coverage was 76.2% (compared to 78.7% for all genes). Exons 1 and 9 were the only exons with poor coverage (mean coverage <20x). All putative TP53 variants were verified via Sanger sequencing; only verified variants are reported hereafter. Sequence variants were annotated using SNPEFF and ANNOVAR. Five patients exhibited rare, synonymous variation in exons 4 (Pro36Pro, 2 patients) and 6 (Arg213Arg, 3 patients). One patient exhibited rare, non-synonymous variation in exon 4 (Pro47Ser); this variant has a frequency of 0.005 across all populations in 1000 Genomes data and was predicted to be deleterious in 2 of 8 functional prediction algorithms. An additional two patients exhibited rare, non-synonymous variation in exons 7 (Cys238Tyr) and 8 (Gly279Glu). Neither variant was detected in parents or reported in 1000 Genomes data, and both were predicted to be deleterious by all functional prediction algorithms. The prevalence of pathogenic TP53 variation in our data (3/95 or 3.2%) is roughly similar to that reported previously, but importantly 2 of the 3 rare, non-synonymous variants were de novo. These results underscore the contribution of new mutations to OS risk and suggest that genetic counseling and TP53 mutation testing should be offered to patients even in the absence of a family history suggestive of LFS. This research was funded by NIH R01CA122371 and grants from the Hyundai Hope on Wheels foundation and the Zach Sobiech Osteosarcoma Fund of the Children's Cancer Research Fund, Minneapolis, MN. Citation Format: Logan Spector, Ian Lock, John Lane, Aaron Sarver, Mark Krailo, Rajaram Nagarajan, Nathan Pankratz. De novo and transmitted germline TP53 variation in pediatric osteosarcoma: A report from the Children's Oncology Group. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Pediatric Cancer Research: From Mechanisms and Models to Treatment and Survivorship; 2015 Nov 9-12; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Res 2016;76(5 Suppl):Abstract nr A37.

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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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.035
GPT teacher head0.363
Teacher spread0.328 · 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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Citations1
Published2016
Admission routes1
Has abstractyes

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