Bosnian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Scientific Reports 2017-Mar

Volatile metabolomic signature of human breast cancer cell lines.

Samo registrirani korisnici mogu prevoditi članke
Prijavite se / prijavite se
Veza se sprema u međuspremnik
Catarina L Silva
Rosa Perestrelo
Pedro Silva
Helena Tomás
José S Câmara

Ključne riječi

Sažetak

Breast cancer (BC) remains the most prevalent oncologic pathology in women, causing huge psychological, economic and social impacts on our society. Currently, the available diagnostic tools have limited sensitivity and specificity. Metabolome analysis has emerged as a powerful tool for obtaining information about the biological processes that occur in organisms, and is a useful platform for discovering new biomarkers or make disease diagnosis using different biofluids. Volatile organic compounds (VOCs) from the headspace of cultured BC cells and normal human mammary epithelial cells, were collected by headspace solid-phase microextraction (HS-SPME) and analyzed by gas chromatography combined with mass spectrometry (GC-MS), thus defining a volatile metabolomic signature. 2-Pentanone, 2-heptanone, 3-methyl-3-buten-1-ol, ethyl acetate, ethyl propanoate and 2-methyl butanoate were detected only in cultured BC cell lines. Multivariate statistical methods were used to verify the volatomic differences between BC cell lines and normal cells in order to find a set of specific VOCs that could be associated with BC, providing comprehensive insight into VOCs as potential cancer biomarkers. The establishment of the volatile fingerprint of BC cell lines presents a powerful approach to find endogenous VOCs that could be used to improve the BC diagnostic tools and explore the associated metabolomic pathways.

Pridružite se našoj
facebook stranici

Najkompletnija baza ljekovitog bilja potpomognuta naukom

  • Radi na 55 jezika
  • Biljni lijekovi potpomognuti naukom
  • Prepoznavanje biljaka po slici
  • Interaktivna GPS karta - označite bilje na lokaciji (uskoro)
  • Pročitajte naučne publikacije povezane sa vašom pretragom
  • Pretražite ljekovito bilje po učincima
  • Organizirajte svoja interesovanja i budite u toku sa istraživanjem vijesti, kliničkim ispitivanjima i patentima

Upišite simptom ili bolest i pročitajte o biljkama koje bi mogle pomoći, unesite travu i pogledajte bolesti i simptome protiv kojih se koristi.
* Sve informacije temelje se na objavljenim naučnim istraživanjima

Google Play badgeApp Store badge