Abstract 220: 14-3-3 zeta downregulation sensitizes head and neck cancer cells to chemotherapeutic agents
Bibliographic record
Abstract
Abstract Introduction. Advancements in treatment modalities have not translated into marked improvement in the prognosis of Head and Neck squamous cell carcinoma (HNSCC) patients. Major emphasis is being laid on designing new therapeutic strategies for more effective disease management. Recently, using iTRAQ-labeling and liquid chromatography-mass spectrometry (MS), we identified a panel of biomarkers, including 14-3-3 zeta and 14-3-3 sigma in HNSCC and oral pre-malignant lesions. Retrospective study of HNSCC revealed correlation of increased expression of both these biomarkers with poor disease prognosis. Herein, we report preliminary results on determining the potential of 14-3-3 zeta as a molecular target for HNSCC therapy. Methods. Small interfering RNA (siRNA) targeting 14-3-3 zeta was used to down-regulate its expression in head and neck cancer cell lines (SCC4 / HSC2). Transient transfection of siRNAs targeting 14-3-3 zeta in these cultured cells was done using LipofectAMINE 2000. The chemosensitivity of transfected cells was determined by measuring the cell death using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, Flow cytometry-based cell cycle analysis, Annexin V dye binding assay and TUNEL assay. Results: Knockdown of 14-3-3 zeta showed reduced cell viability and G2/M arrest in head and neck cancer cells transfected with 14-3-3 zeta siRNA (100 nM, 48 hours). Importantly, doxorubicin / cisplatin treatment of 14-3-3 zeta siRNA transfected head and neck cancer cells (SCC4 / HSC2), showed increased cell death at lower doses in comparison to cells treated with doxorubicin or cisplatin alone. Increased sub-G0 phase was observed in SCC4 cells (showing reduced 14-3-3 zeta expression) on treatment with any of these chemotherapeutic agents. Annexin V staining and TUNEL assay revealed increased apoptosis. Western blot analysis showed cleaved caspase 9 and caspase 3, confirming the induction of apoptosis. Conclusions: Our results showed that 14-3-3 zeta downregulation sensitizes head and neck cancer cells to chemotherapeutic agents by induction of apoptosis. We propose that down-regulation of 14-3-3 zeta may serve as a novel strategy to improve the efficacy of chemotherapeutic agents in the management of head and neck cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 220.
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) | 0.001 | 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".