A machine learning model revealed that exosome small RNAs may participate in the development of breast cancer through the chemokine signaling pathway.

ABSTRACT:

Background

Exosome small RNAs are believed to be involved in the pathogenesis of cancer, but their role in breast cancer is still unclear. This study utilized machine learning models to screen for key exosome small RNAs and analyzed and validated them.

Method

Peripheral blood samples from breast cancer screening positive and negative people were used for small RNA sequencing of plasma exosomes. The differences in the expression of small RNAs between the two groups were compared. We used machine learning algorithms to analyze small RNAs with significant differences between the two groups, fit the model through training sets, and optimize the model through testing sets. We recruited new research subjects as validation samples and used PCR-based quantitative detection to valida

SUBMITTER: Mo JL 

PROVIDER: S-EPMC11580650 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature