Your browser doesn't support javascript.
loading
Free Salivary Amino Acid Profile in Breast Cancer: Clinicopathological and Molecular Biological Features.
Bel'skaya, Lyudmila V; Sarf, Elena A; Solomatin, Denis V.
Afiliación
  • Bel'skaya LV; Biochemistry Research Laboratory, Omsk State Pedagogical University, 644099 Omsk, Russia.
  • Sarf EA; Biochemistry Research Laboratory, Omsk State Pedagogical University, 644099 Omsk, Russia.
  • Solomatin DV; Department of Mathematics and Mathematics Teaching Methods, Omsk State Pedagogical University, 644099 Omsk, Russia.
Curr Issues Mol Biol ; 46(6): 5614-5631, 2024 Jun 05.
Article en En | MEDLINE | ID: mdl-38921007
ABSTRACT
The study of salivary amino acid profiles has attracted the attention of researchers, since amino acids are actively involved in most metabolic processes, including breast cancer. In this study, we analyzed the amino acid profile of saliva in a sample including all molecular biological subtypes of breast cancer to obtain a more complete picture and evaluate the potential utility of individual amino acids or their combinations for diagnostic purposes. This study included 116 patients with breast cancer, 24 patients with benign breast disease, and 25 healthy controls. From all patients, strictly before the start of treatment, saliva samples were collected, and the quantitative content of 26 amino acids was determined. Statistically significant differences between the three groups are shown in the content of Asp, Gly, Leu + Ile, Orn, Phe, Pro, Thr, and Tyr. To differentiate the three groups from each other, a decision tree was built. To construct it, we selected those amino acids for which the change in concentrations in the subgroups was multidirectional (GABA, Hyl, Arg, His, Pro, and Car). For the first time, it is shown that the amino acid profile of saliva depends on the molecular biological subtype of breast cancer. The most significant differences are shown for the luminal B HER2-positive and TNBC subgroups. In our opinion, it is critically important to consider the molecular biological subtype of breast cancer when searching for potential diagnostic markers.
Palabras clave

Texto completo: 1 Colección: 01-internacional Idioma: En Revista: Curr Issues Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Rusia

Texto completo: 1 Colección: 01-internacional Idioma: En Revista: Curr Issues Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Rusia