Structural Modifications of Mitochondria-Targeted Chlorambucil Alter Cell Death Mechanism but Preserve MDR Evasion
Bibliographic record
Abstract
Multidrug resistance (MDR) remains one of the major obstacles in chemotherapy, potentially rendering a multitude of drugs ineffective. Previously, we have demonstrated that mitochondrial targeting of DNA damaging agents is a promising tool for evading a number of common resistance factors that are present in the nucleus or cytosol. In particular, mitochondria-targeted chlorambucil (mt-Cbl) has increased potency and activity against resistant cancer cells compared to the parent compound chlorambucil (Cbl). However, it was found that, due to its high reactivity, mt-Cbl induces a necrotic type of cell death via rapid nonspecific alkylation of mitochondrial proteins. Here, we demonstrate that by tuning the alkylating activity of mt-Cbl via chemical modification, the rate of generation of protein adducts can be reduced, resulting in a shift of the cell death mechanism from necrosis to a more controlled apoptotic pathway. Moreover, we demonstrate that all of the modified mt-Cbl compounds effectively evade MDR resulting from cytosolic GST-μ upregulation by rapidly accumulating in mitochondria, inducing cell death directly from within. In this study, we systematically elucidated the advantages and limitations of targeting alkylating agents with varying reactivity to mitochondria.
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 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".