Genomic analyses identify gene candidates for acquired irinotecan resistance in melanoma cells
Bibliographic record
Abstract
Efficacy of camptothecins (CPTs) such as irinotecan has been recognized in chemotherapy of cancers including melanoma. However, the majority of responding patients will gradually acquire drug resistance. Little is known of the genes responsible for the acquired CPT-resistance in cancer. To gain global insight into acquired CPT-resistance, we established irinotecan-resistant clones derived from melanoma cells and compared their whole genomes by high resolution array-CGH. A novel gain at 14q23.2-31.1 was revealed by alignment of whole genome profiles of parental cell line and irinotecan-resistant clones. Further analysis of this amplicon indicates that it encompassed genes involved in DNA repair (RAD51L, MLH3), reactive oxygen species (GPX2, CSTZ1, NGB, RDH11, ZADH1), and transportome (ABCD4, ATP6V1D, SLC10A6). Moreover, losses were also detected at the loci of topoisomerases (TOP1, SPO11, TOP3B) as well as at the loci of genes guarding chromosomal stability (TP53, ZW10, H2AFX, CHK1, CCDN1, MCM5, CENPB, DNMT3B), which would facilitate the development of drug resistance. Furthermore, quantitative real-time PCR demonstrated that mRNA changes of selected novel genes (CENPB, H2AFX, MCM5, ZADH1 and NGB) in irinotecan-resistant clones vs. parental clone were in agreement with array-CGH results. Taken together, our data suggest that genes involved in genome stability may greatly contribute to the development of CPTs-resistance. In addition, genes located at 14q23.3-31.1 would be promising targets to overcome acquired CPT-resistance in melanoma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".