P5-13-06: Lipidomic Profile Predicts Pathologic Complete Response to Neoadjuvant Weekly Paclitaxel Treatment
| Autor: | I. D. C. G. Silva, Nmct Calux, Gil Facina, Mfr Silva, Tcs Bonetti, Acp Nazario |
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| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | Cancer Research. 71:P5-13 |
| ISSN: | 1538-7445 0008-5472 |
| Popis: | BACKGROUND: Neoadjuvant chemotherapy is one of the main strategies for patients with advanced breast cancer. The taxane paclitaxel have an important role in inhibiting microtubule polymerization and this mechanism prevents cells from entering into the mitotic phase. The therapeutic efficacy and toxicity profile of weekly paclitaxel administration have been showed since 90s. Lipidomics may be defined as the large-scale study of pathways and networks of cellular lipids that is involved in biological systems. In the present study our aim was to evaluate the possibility to identify a lipidomic signature of good and bad responsers to neoadjuvant chemotherapy. PURPOSE: To analyze and identify the lipid fingerprint in tumor biopsy of advanced breast cancer patients who get a complete pathologic response (CPR) with weekly paclitaxel treatment and compare this with the group who get no response. MATERIALAND METHODS: Seventy eight patients with clinical stage IIIA breast cancer were selected to receive the neoadjuvant treatment with weekly paclitaxel (for a total of 12 doses — 80mg/m2). Fifty eight patients completed the treatment purpose. Seven presented CPR (Group A) and 5 showed progressions (Group B). The lipids were extracted from biopsies and submitted to matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). MALDI-MS spectra were acquired in the positive ion and reflectron modes using Synapt Q-ToF mass spectrometers (Waters, Manchester, UK). The spectra were acquired in the m/z 700–1200 range. From each spectrum the most intense ions were considered as the starting point of searching m/z values which were clearly distinct from noise level in the spectra were included in the principal component analysis (PCA). RESULTS: The PCA analysis of the mass spectra shows that groups can be resolved via their MALDI-MS lipid profiles, which suggest the patients who presented CPR can present distinct lipid fingerprint in the tumor biopsy compared to patients who showed progressions. CONCLUSION: After genomic and proteomic innovations, it turns necessary to explore metabolic processes at the system level. Lipidomics is a developing strategy for functional genomics, since there is growing evidence that lipids are structural biomolecules, which have important function as signal transduction processes, second messenger molecules or their precursors. Is possible that lipidomic profile of tumor specimen could help us to select the patients with advanced breast cancer that might present complete pathologic response by weekly paclitaxel treatment. This study will be continued to confirm this results and carried the identification of the lipids based on earlier studies and MS/MS data using lipidmaps and chemspider databases. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P5-13-06. |
| Databáze: | OpenAIRE |
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