Preclinical Studies of Cytotoxicity, Drug Synergy and Biological Correlates of Clofarabine Against Infant Leukemia Cells
Bibliographic record
Abstract
Abstract Abstract 4342 Preclinical Studies of Cytotoxicity, Drug Synergy and Biological Correlates of Clofarabine Against Infant Leukemia Cells. Infants with leukemia, specifically those who relapse on frontline therapy, are extremely difficult to cure and are candidates for novel therapies that induce remission, allowing them to proceed to transplantation. The unique molecular, growth and chemoresistance properties of infant acute lymphoblastic leukemia (iALL) allow for focused preclinical studies within this group. Clofarabine (Clolar), an anti-neoplastic purine nucleoside analog, has shown significant efficacy in older children with refractory lymphoblastic leukemia. Its safety profile has more recently been established in Phase I and II single-agent trials. In addition to its anti-metabolite action, clofarabine appears to disrupt the integrity of mitochondrial membranes and activates pathways of programmed cell death, adding to its theoretical potential to synergize with agents that interfere with mitochondrial integrity. Methods: Primary leukemic cells, cell lines derived from iALL patients and cell lines carrying the molecular abnormalities commonly found in iALL, were used in this study (n=10). Karyotypic abnormalities of these cells include: t(11;19) (q23;p13), t(9;11)(p21;q23) and t(4;11)(q21;q23). With respect to Flt-3 expression, cell lines demonstrating wild-type, internal tandem duplication (ITD) and over-expression phenotypes were also included in this panel. Primary infant AML samples (n=2) and the infant AML cell line TIB-202 (THP-1) containing the t(9;11)(p21;q23) rearrangement and MLL-AF9 fusion gene were also included. ALL cell lines derived from pediatric patients (n= 5) were evaluated in parallel. Stromal cells established from normal bone marrow specimens and peripheral blood mononuclear cells were evaluated under identical conditions for assessment of non-specific toxicity. An increasing concentration of clofarabine was added to leukemic and control cells (104 cells per well, in 96 well plates) cell lines. Over the following four days, cell growth inhibition was measured by the Alamar blue assay. For drug combination studies, leukemia cells were incubated with a panel of conventional and targeted therapeutic agents (n=12) alone or in combination with clofarabine (IC10 or IC25 concentrations). Growth inhibition under each condition was measured and combination indices were calculated according to established methods. Induction of apoptosis and the release of mitochondrial mediators were measured by Western blot analysis. Alteration in mitochondrial integrity was evaluated by immunocytochemistry for fluorescent labeled anti-mitochondrial Hsp70 and real-time imaging. Results and Discussion: Clofarabine inhibited growth of all iALL cells tested with IC50 values ranging from 0.1 μ M to 0.01 μ M. Primary iAML cells were found to be most sensitive to clofarabine. For iALL cell lines the highest IC50 value was found in Bel-1 cells, expressing a t(4;11)(q21;q23) karyotype. Drug combination studies showed significant synergy with 17-AAG (Hsp90 inhibitor, CI 0.7), sorafenib (CI 0.12), bortezomib (CI 0.3) and rapamycin (CI 0.2). No drug combinability was noted, with conventional alkylating agents and antimetabolites. Interestingly, the therapeutic opioid methadone (D,L-methadone hydrochloride), used extensively in the treatment of cancer pain and opioid addiction, showed significant synergy with clofarabine at low concentrations (CI 0.74, range 0.66 – 0.79 μ M). Incubation of cells with clofarabine (IC25) for 48 hours resulted in detectable activation of caspase 9 and cleavage of PARP. We demonstrate the ability of clofarabine to induce cytotoxicity against a panel of leukemia cells that carry the molecular aberrations and growth properties seen in iALL. We also present data on the biological correlates and synergistic effects of clofarabine with other anti-leukemic agents. Of particular interest is the synergy with methadone, which has been shown previously to affect mitochondrial activity in leukemia cells. Data presented in study provide key initial data to construct effective xenograft studies and to formulate a clofarabine based treatment protocol for iALL in the near future. Disclosures: Narendran: Genzyme Canada: Research Funding.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".