Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic and follow-up biomarkers for breast cancer

This dataset comprises RNA sequencing data generated from salivary samples as part of the study titled \"Characterizing the Salivary RNA Landscape to Identify Potential Diagnostic, Prognostic, and Follow-Up Biomarkers for Breast Cancer.\" The dataset includes single-end RNA-seq reads stored in FASTA format, derived from three sample groups: breast cancer patients (BC), healthy controls (CRL), and follow-up samples from treated breast cancer patients (FL). Each sample file is annotated with metadata containing information on sample type and anonymized patient IDs. The data captures both coding and long non-coding RNAs extracted from saliva, providing a comprehensive profile of the salivary RNA landscape. The primary goal of this dataset is to facilitate the identification of RNA biomarkers with potential diagnostic, prognostic, and treatment monitoring applications in breast cancer.