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Record W4256453127 · doi:10.1158/1538-7445.am10-2226

Abstract 2226: International Cancer Genome Consortium (ICGC)

2010· article· en· W4256453127 on OpenAlexaffabout
Jennifer L. Jennings, Thomas J. Hudson

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsCancerGovernment (linguistics)Library scienceMedicinePolitical scienceInternal medicine

Abstract

fetched live from OpenAlex

Abstract The International Cancer Genome Consortium (ICGC) is one of most ambitious biomedical research efforts since the Human Genome Project. The ICGC is coordinating an international-scale research effort to obtain a comprehensive description of genomic, transcriptomic and epigenomic changes in the major forms of cancer. This information will lead to better ways of diagnosing, treating and preventing cancer. The ICGC was launched in April 2008, with the announcement of the proposed strategies and policies to the international scientific community to enable funding agencies and research groups to plan their participation within the ICGC. As of December 2009, the ICGC has received commitments from funding organizations in Asia, Australia, Europe and North America for the following cancer genome projects: breast cancer, Her2+ (France); breast cancer, multiple subtypes (United Kingdom); chronic lymphocytic leukemia (Spain); gastric adenocarcinoma (China), hepatocellular carcinoma, alcohol and associated etiologies (France); pediatric brain cancers - medulloblastoma and pilocytic astrocytoma (Germany); hepatocellular carcinoma, viral etiologies (Japan); oral cavity cancer (India), and pancreatic adenocarcinoma (Australia and Canada). Furthermore, the latest call for proposals published in the Health Theme of the European Union's 7th Research Framework Programme includes a research topic to support European participation in the ICGC. The ICGC projects will complement a large US-based pilot project called The Cancer Genome Atlas, which oversees projects related to glioblastoma multiforme, squamous carcinoma and serous adenocarcinoma. Over time, additional nations and organizations Each project is expected to involve specimens from approximately 500 patients. Over the next ten years, the ICGC expects to produce comprehensive catalogues of the full range of genetic mutations involved in 50 types of cancer, with key factors being the ability to detect all mutated cancer genes, data at the level of individual DNA bases, application of common standards for pathology and technology and comparison data from matched, non-tumour tissue. The ICGC's informed consent and ethical oversight policies state that cancer patients enrolled in an ICGC-related study should be informed that their participation is voluntary, that their clinical care will not be affected by their participation and that data obtained from analyses using their samples will be made available to the international research community. ICGC projects will use common standards of data collection and analysis. The ICGC will make its data rapidly and freely available to the global research community. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2226.

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)0.015
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.011
Science and technology studies0.0020.001
Scholarly communication0.0060.002
Open science0.0050.005
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0940.036

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 head0.064
GPT teacher head0.419
Teacher spread0.356 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2010
Admission routes2
Has abstractyes

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