MétaCan
Menu
← Back to cohort
Record W2313305420 · doi:10.1158/1538-7445.am2011-924

Abstract 924: Identification of somatic mutations of the PPP2R1A gene in subtypes of endometrial and ovarian carcinomas

2011· article· en· W2313305420 on OpenAlexaff
Melissa K. McConechy, Michael S. Anglesio, Steve E. Kalloger, Winnie Yang, Janine Senz, Jessica N. McAlpine, C. Blake Gilks, David G. Huntsman

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsBiologySomatic cellOvarian cancerCancer researchGeneEndometrial cancerExonGeneticsCancer

Abstract

fetched live from OpenAlex

Abstract Somatic mutations in PPP2R1A have been found at low frequencies in lung, breast cancer and melanoma and most recently through whole-exome sequencing in ovarian clear cell carcinoma. We examined whole-transcriptome sequencing data from ovarian clear cell carcinomas (OCCC) and identified a cluster of mutations in exon 5 of PPP2R1A. The protein phosphatase 2, regulatory subunit A, alpha (PPP2R1A, or PR65a) gene is the scaffolding subunit of the serine-threonine protein phosphatase 2A (PP2A) holoenzyme. PP2A is involved in growth and survival cellular pathways, and has been suggested to play a role as a tumor suppressor gene in some human cancers. The PP2A holoenzyme is made up of the A scaffolding subunit (isoforms α and β), the C catalytic subunit (isoforms α and β and multiple regulatory B subunits also with many isoforms. PPP2R1A is made up of 15 HEAT domains forming a horseshoe-like multi-helical structure that interacts with both the C and B subunits of PP2A. We have examined the frequency of PPP2R1A mutations across the spectrum of both ovarian and endometrial carcinomas. DNA from endometrial and ovarian subtypes was sequenced across exons 5 and 6 of PPP2R1A using PCR based Sanger sequencing, and somatic mutation status was verified by sequencing matched normal DNA. Targeted sequencing of PPP2R1A revealed somatic missense mutations in 36.7% (18 of 49) of endometrial high-grade serous primary tumors. This high frequency of mutations has not previously been reported and suggests a strong link to the pathology of this disease subtype. Mutations were also identified at a lower frequency of 4.9% (3 of 61) in endometrial endometrioid carcinomas, and ovarian primary tumors at 11.6% (5 of 43) in endometrioid, 4% (2 of 50) in clear cell, 0% (0 of 50) in high-grade serous and 0% (0 of 12) of low-grade serous carcinomas. These nucleotide missense mutations result in the modification of amino acid residues that are highly conserved within the intrarepeat helix of the HEAT domains of PPP2R1A. Previous mutation based biochemical studies have identified these amino acid residues as important in the interaction between the regulatory B subunit and PPP2R1A. This indicates a strong functional role of PPP2R1A in stabilization of the PP2A complex, and a probable role in cellular tumorgenesis. A closer survey of mutations found within PPP2R1A and the PP2A complex, as well as functional characterization of this pathway, may pave the way to defining biologically relevant pathways and targets within endometrial carcinomas, ultimately leading to improved patient-targeted therapies and survival. 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 924. doi:10.1158/1538-7445.AM2011-924

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.068
GPT teacher head0.346
Teacher spread0.278 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicCancer Genomics and Diagnostics→French-language works237,207→