Publications by authors named "R COZAN"
Background: Bladder cancer (BC) has the highest per-patient cost of all cancer types. Hence, we aim to develop a non-invasive, point-of-care tool for the diagnostic and molecular stratification of patients with BC based on combined microRNAs (miRNAs) and surface-enhanced Raman spectroscopy (SERS) profiling of urine.
Methods: Next-generation sequencing of the whole miRNome and SERS profiling were performed on urine samples collected from 15 patients with BC and 16 control subjects (CTRLs).
SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine?
Spectrochim Acta A Mol Biomol Spectrosc
May 2022
SERS analysis of biofluids, coupled with classification algorithms, has recently emerged as a candidate for point-of-care medical diagnosis. Nonetheless, despite the impressive results reported in the literature, there are still gaps in our knowledge of the biochemical information provided by the SERS analysis of biofluids. Therefore, by a critical assignment of the SERS bands, our work aims to provide a systematic analysis of the molecular information that can be achieved from the SERS analysis of serum and urine obtained from breast cancer patients and controls.
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- * A study assessed the use of surface-enhanced Raman scattering (SERS) profiling of serum samples from patients with renal cell carcinoma (RCC) and controls to identify potential biomarkers for diagnosis.
- * The results indicated differences in metabolite profiles between the two groups, and machine learning algorithms achieved a discrimination AUC of around 0.77, suggesting SERS could be a promising diagnostic strategy for RCC, needing further validation in larger studies.
SERS-based DNA methylation profiling allows the differential diagnosis of malignant lymphadenopathy.
Spectrochim Acta A Mol Biomol Spectrosc
January 2022
Article Synopsis
- Researchers found that a special technique called SERS can help tell apart different types of lymphomas and cancer spread in lymph nodes by examining DNA from tissue samples.
- * The study showed that certain signals from DNA can indicate whether it comes from healthy or cancerous cells, achieving good accuracy in tests.
- * The results suggest that SERS could become a helpful tool for doctors to better diagnose and identify types of lymph node cancer.