Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Sensitive phenotyping of serum extracellular vesicles on a SERS-microfluidic platform for early-stage clinical diagnosis of ovarian carcinoma.

Biosensors & bioelectronics - 1 Jan 2025

Chen Xingya, Tang Jingshi, Zhao Yueyue, Wang Rui, Sang Shenggang, Yu Fabiao, Xing Yanlong

Abstract excerpt

Ovarian carcinoma (OvCa) poses a severe threat to women's health due to its high mortality rate and lack of efficient early diagnosis approach. There is evidence to suggest that nanosized small extracellular vesicles (sEVs) which carrying cell-specific components from OvCa can serve as potential diagnostic biomarkers. Herein, we reported a Surface-enhanced Raman Scattering (SERS)-multichannel microchip for sEVs...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers, Tumor
Share to Biosensing Techniques

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Early Detection of Cancer

Share to Extracellular Vesicles

Share to Lab-On-A-Chip Devices

Share to Ovarian Neoplasms

Share to Phenotype

Share to Spectrum Analysis, Raman

Source

Identifiers

PMID: 39260102
DOI: 10.1016/j.bios.2024.116724

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Sensitive phenotyping of serum extracellular vesicles on a SERS-microfluidic platform for early-stage clinical diagnosis of ovarian carcinoma.PMID 39260102Read ↗

Enabling Sensitive Phenotypic Profiling of Cancer-Derived Small Extracellular Vesicles Using Surface-Enhanced Raman Spectroscopy Nanotags.Semantic proximity Read ↗

Phenotypic profiling of pancreatic ductal adenocarcinoma plasma-derived small extracellular vesicles for cancer diagnosis and cancer stage prediction: a proof-of-concept study.Semantic proximity Read ↗

Localized fluorescent imaging of multiple proteins on individual extracellular vesicles using rolling circle amplification for cancer diagnosisSemantic proximity Read ↗

Recent advances of small extracellular vesicle biomarkers in breast cancer diagnosis and prognosisSemantic proximity Read ↗

Profiling extracellular vesicles in circulation enables the early detection of ovarian cancerSemantic proximity Read ↗

Multiplexed Profiling of Single Extracellular VesiclesSemantic proximity Read ↗

Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle AnalysisSemantic proximity Read ↗

Digital Profiling of Tumor Extracellular Vesicle-associated RNAs Directly from Unprocessed Blood PlasmaSemantic proximity Read ↗

SERS analysis of cancer cell-derived exosome phenotypes using a rare-earth ion coordination-dominated exosome capture strategy.Semantic proximity Read ↗

Simultaneous single-cell phenotype analysis of hepatocellular carcinoma CTCs using a SERS-aptamer based microfluidic chip.Semantic proximity Read ↗

Multiplexed Profiling of Single-cell Extracellular Vesicles SecretionSemantic proximity Read ↗

Membrane Sensing Peptides -Enhanced SiMoA Platform for the Detection of HER2 on Extracellular Vesicles in Metastatic Breast Cancer PatientsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.