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Record W2334682430 · doi:10.1158/1538-7445.am2011-926

Abstract 926: Whole genome and transcriptome sequencing defines the spectrum of somatic changes in high-risk neuroblastoma

2011· article· en· W2334682430 on OpenAlexaff
Olena Morozova, İnanç Birol, Richard Corbett, Karen Mungall, Edward F. Attiyeh, Shahab Asgharzadeh, Yongjun Zhao, Richard A. Moore, Martin Hirst, Steven J.M. Jones, Michael D. Hogarty, Sharon J. Diskin, Yaël P. Mossé, Maura Diamond, Richard Sposto, Lingyun Ji, Daniela S. Gerhard, Malcolm A. Smith, Javed Khan, Robert C. Seeger, Marco A. Marra, John M. Maris

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBiologyIndelGenomeDNA sequencingComputational biologyGeneticsTranscriptomeCancer genome sequencingReference genomeSomatic cellWhole genome sequencingShotgun sequencingGermlineDeep sequencingGeneSingle-nucleotide polymorphismGene expression

Abstract

fetched live from OpenAlex

Abstract The NCI's Therapeutically Applicable Research to Generate Effective Targets (TARGET) initiative uses state-of-the-art genome-wide approaches to identify therapeutic targets for pediatric cancers. Applications of 2nd-generation sequencing technologies to the analysis of adult solid tumors and hematopoietic malignancies have led to novel, often clinically relevant insights into these diseases. The objective of this study is to utilize 2nd-generation sequencing approaches on a highly annotated set of ten high-risk neuroblastomas (NBLs). We performed whole genome shotgun sequencing of six stage 4 MYCN-non-amplified and four stage 4 MYCN-amplified NBL TARGET cases and matched peripheral blood, as well as whole transcriptome sequencing (RNA-Seq) of the corresponding tumor RNA. The tumor and normal genomes were sequenced to 30X haploid coverage, and an average 10.3 Gb of aligned sequence was generated for each tumor transcriptome. The level of sequencing redundancy allowed us to achieve at least 10X coverage across 90% of the genome enabling genome-wide detection of sequence and copy number changes in the tumor DNA. We used alignment and de novo assembly approaches to identify somatic and germline SNVs, indels, structural variants, regions of copy number gains and losses, and genome rearrangements. We used RNA-Seq data to determine whether the detected sequence changes were expressed, and to identify transcripts differentially or alternatively expressed between MYCN-amplified and non-amplified cases. Our analysis of tumor and normal genomes identified an average of 1664 candidate somatic mutations per case, the majority of which were SNVs and small indels falling within introns or intergenic sequence. We also detected two candidate germline mutations in the ALK oncogene, one of which was previously characterized in NBL. An average of 10% of candidate somatic mutations in coding sequence was expressed in the transcriptome representing candidate oncogenic events. In addition, we detected and validated using PCR 9 novel genomic rearrangements resulting in expressed products, 5 of which were somatic and 4 of which were germline. We report on two novel somatic gene fusions, between TRIM37 on chromosome 17 and RNF121 on chromosome 11, and between LSAMP and STAG1 on chromosome 3, previously uncharacterized in NBL. The fusions did not recur in our sample set. This work provides an initial genome-wide view of the landscape of somatic changes that occur in high-risk neuroblastoma and highlights novel candidate oncogenic events that may drive the malignancy. Ongoing efforts will catalogue discovered somatic mutation frequencies in a large set of cases and explore the role of germline DNA variations in NBL tumorigenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 926. doi:10.1158/1538-7445.AM2011-926

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.098
GPT teacher head0.343
Teacher spread0.245 · 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".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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