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Record W1990179192 · doi:10.1158/1538-7445.am2011-1716

Abstract 1716: Mechanisms of resistance in carboplatin, docetaxel and dual drug resistant ovarian cancer cell lines

2011· article· en· W1990179192 on OpenAlexaff
Carita Lannér, Stephen Armstrong, Irina Kalatskaya, Baoqing Guo, Amadeo M. Parissenti

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Biosensing Techniques and Applications
Canadian institutionsSudbury Regional HospitalInstitute of Cancer ResearchNOSM University
Fundersnot available
KeywordsCarboplatinDocetaxelOvarian cancerDrug resistanceChemotherapyMedicinePharmacologyClonogenic assayCancer researchCancerOncologyCell cultureInternal medicineBiologyCisplatinGenetics

Abstract

fetched live from OpenAlex

Abstract Carboplatin and docetaxel are two standard chemotherapeutics used to treat ovarian cancer. Patients often exhibit resistance to single agent therapy, and dual agent therapy was developed to overcome this resistance. However, resistance still commonly occurs in dual agent therapy. It is known that specific changes in gene expression occur in single agent resistance, but it is not known whether resistance to combined chemotherapy involves novel gene expression changes or if resistance is only the sum of changes seen in single agent resistant cells. Using the chemotherapy-naïve A2780 ovarian cancer cell line, we have generated three resistant cell lines including carboplatin and docetaxel single agent resistant lines (A2780CBN, and A2780DXL respectively), and a carboplatin/docetaxel dual resistant line (A2780CBNDXL) by exposing A2780 cells to increasing concentrations of drug until a dose is reached where resistance could no longer be developed. The concentration of drug at which 50% of cells die (IC50) was measured for reach resistant cell line using a clonogenic assay. The IC50 of A2780CBN is 8×10−5 M, 13-fold more resistant than the parent line. The IC50 of A2780DXL is 3×10−7 M, 5000-fold more resistant than the parent line. The IC50 of A2780CBNDXL is 8×10−6 M for carboplatin and 8×10−9 M for docetaxel. Changes in gene expression associated with the development of resistance in each cell line were identified by microarray analysis on Agilent 4×44k total human genome arrays. In the A2780CBN line there were a total of 1209 significant changes in gene expression, in the A2780DXL line there were 955 changes, and in the A2780CBNDXL line there were 1336 changes. The majority of changes in each cell line (70%) were unique, indicating that novel changes in gene expression occur in the dual line. A Functional Interaction Network-based analysis was conducted on the microarray data identify important gene clusters acting in the drug resistant A2780 ovarian cancer cell lines. Ten major clusters were found in the A2780CBN line, 8 clusters in the A2780DXL line and 10 clusters in the A2780CBNDXL line. Although similar clusters occurred among the lines, the genes in them were different and several unique clusters occurred in the dual line. Functional enrichment analysis will be done for every cluster and the most significant pathways will be taken into further consideration for validation. 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 1716. doi:10.1158/1538-7445.AM2011-1716

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)0.000
metaresearch head score (Gemma)0.000
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 score0.011
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.049
GPT teacher head0.358
Teacher spread0.309 · 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
Published2011
Admission routes1
Has abstractyes

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