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Record W2319917655 · doi:10.1158/1538-7445.am2013-1596

Abstract 1596: Evaluation of radiosensitizing effects of KSP inhibition in cancer cells.

2013· article· en· W2319917655 on OpenAlexaff
Ripen Misri, Nelson K.Y. Wong, Mohamed K. Khan

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsRadiosensitizerCancer researchCancerMitosisCancer cellRadiation therapyMedicineChemistryBiologyInternal medicineCell biology

Abstract

fetched live from OpenAlex

Abstract Background: Several chemotherapeutic agents act as radiosensitizers, priming the cancer cells to the effects of ionizing radiation and resulting in increased tumor kill with radiotherapy. The combination of radiosensitizing chemotherapeutics and localized external beam radiation therapy is based on the scientific rationale derived from both preclinical and clinical observations of synergism between radiotherapy and chemotherapy. Recently, many kinesin spindle protein (KSP) inhibitors have undergone preclinical and clinical investigation as anticancer agents. The mitotic kinesin is an essential mitotic enzyme with no role outside of mitosis. KSP is essential for separation of spindle poles during mitosis; therefore its inhibition causes mitotic arrest and subsequent cell death. Amongst the various KSP inhibitors, SB-743921 is a highly potent second generation KSP inhibitor that has shown activity in a broad spectrum of tumor models and is now being investigated in clinical trials. We sought to investigate the radiosensitizing properties of SB-743921 in various cell lines in order to investigate its potential as a radiosensitizer for enhancing treatment efficacy in multiple cancers. Materials & Methods: We first assessed the inhibitory activity of SB-743921 in multiple cell models (hepatocellular carcinoma, colorectal cancer, breast cancer, pancreatic cancer). The half-maximal inhibitory concentrations (IC50) were determined by carrying out cell viability assays in each of these cell lines. Cancer cells were exposed to various concentrations of SB-743921 in growth medium for 72 hrs before cell viability was determined by colorimetric estimation of metabolic activity using XTT assay. Further, we evaluated the radiosensitizing effect of SB-743921 on hepatocellular carcinoma and colorectal cancer cells by performing clonogenic assays. Cells were first treated with SB-743921 for 24 hours at their respective IC50 values, followed by irradiation with 2-8 Gy doses. Post-treatment, the cells were plated at clonal density and incubated in growth medium for 10-14 days. Cells were fixed and stained, and colonies with 50 cells or more were counted. Results: The IC50 values of 4 cancer cell lines were between 0.5-2.5 nM. The results from the clonogenic assays indicate radiosensitization effect in the heptatocellular carcinoma cell line, whereas in the colorectal cancer cell line, radiosensitization was not observed. Conclusion and Future studies: From our results, it can be concluded that KSP inhibition with SB-743921 radiosensitizes some types of cancer, but not all. More cancer cell lines are currently being evaluated to demonstrate a relationship between cancer type and the radiosensitization effect by KSP inhibition. In future, in vivo chemoradiation experiments in mice will be performed in multiple cancer models to further assess the radiosensitization effect by KSP inhibition. Citation Format: Ripen Misri, Nelson Wong, Mohamed Khan. Evaluation of radiosensitizing effects of KSP inhibition in cancer cells. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1596. doi:10.1158/1538-7445.AM2013-1596

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.041
GPT teacher head0.377
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes1
Has abstractyes

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