MétaCan
Menu
Back to cohort

Abstract A40: Profile of DNA repair status in a recently established panel of patient-derived ovarian carcinoma xenografts

2017· article· en· W2604655625 on OpenAlexaboutno aff
Federica Guffanti, Maddalena Fratelli, Monica Ganzinelli, Francesca Ricci, Maria Rosa Cappelletti, Damiele Generali, Francesca Bizzaro, Raffaella Giavazzi, Giovanna Damia

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsERCC1FANCD2FANCABiologyNucleotide excision repairDNA repairDNA mismatch repairCancer researchFanconi anemiaMLH1Base excision repairDNA damageCisplatinPARP1Molecular biologyGeneGeneticsDNAPoly ADP ribose polymerasePolymerase

Abstract

fetched live from OpenAlex

Abstract Background and Purpose: A xenobank of patient derived (PDX) ovarian tumor samples has recently been established and shown to recapitulate the biological, histological, molecular and pharmacological features of human epithelial ovarian cancer (EOC). This EOC-xenobank consists of tumors with different sensitivity to cisplatin (DDP) from very responsive, responsive to resistant tumors. As DNA repair pathway represents an important driver in tumor response to DDP, we analyzed the mRNA expression of 20 genes involved in Nucleotide Excision Repair (NER), in Fanconi Anemia (FA), in Homologous Recombination (HR), in Base Excision Repair (BER), in Mismatch Repair (MMR) and Translesion Repair (TLR) pathways and the methylation pattern of some of these genes. The correlation with the response to a platinum-based therapy was also investigated. Methods: The genes selected have a key role in the BER (OGG1 and PARP1); in the NER pathway (ERCC1, XPA, XPF, XPD and XPG); the FA pathway (BRCA1, FANCA, FANCC, FANCD2 and FANCF); in TLR (PolEta), in MMR (MLH1), in MMEJ (PolQ) and in the transcription of some genes (CDK12). The mRNA levels were evaluated by RT-PCR with ad hoc validated primers. The promoter methylation of BRCA1, XPA, ERCC1 and MLH1 was studied by pyrosequencing, while for XPG and FANCF no predesigned assays were available and we evaluated their methylation status following reported assays. Results: We demonstrated: i) all the DNA genes considered were variably expressed in all the 44 PDX analyzed, with no specific istotype-specific cluster of expression; ii) in high grade seros/endometriod PDXs, the CDK12 mRNA expression levels positively correlated with the expression of TP53BP1, PALB2, XPF and PolB; iii) high grade serous/endometriod PDXs with TP53 mutation had statistically significant higher levels of PolQ, FANC-D2, RAD51 and Pol beta than high grade TP53 wild type PDXs; iv) BRCA1 was found to be hypermethylated in 48% of the xenografts. However, no correlation between mRNA levels and methylation status of the considered CpG islands was found; v) only the mRNA levels of CDK12, PALB2 and XPF inversely correlated with the in vivo DDP antitumor activity. Conclusions: These data suggest the mRNA expression levels of targeted DNA repair pathway-related genes as PALB2, XPF and CDK12 predict the response to a platinum based therapy in ovarian cancer, even if they need to be prospectively validated in cohort of ovarian cancer patients. Citation Format: Federica Guffanti, Maddalena Fratelli, Monica Ganzinelli, Francesca Ricci, Maria Rosa Cappelletti, Damiele Generali, Francesca Bizzaro, Raffaella Giavazzi, Giovanna Damia. Profile of DNA repair status in a recently established panel of patient-derived ovarian carcinoma xenografts [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr A40.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.334
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueMolecular Cancer ResearchSame topicDNA Repair MechanismsFrench-language works237,207