VerSiLiB: Versatile Ampification Single-Molecule Detection in Liquid Biopsy

Sponsor
Regina Elena Cancer Institute (Other)
Overall Status
Recruiting
CT.gov ID
NCT05940311
Collaborator
(none)
50
1
48
1

Study Details

Study Description

Brief Summary

Robust detection of single molecules in complex biological fluids is the ultimate goal in the field of disease biomarker analysis.

Conventionally, to enable the quantitative analysis of individual molecules in macroscopic volumes, analyte pre-concentration and sample partitioning into fL-nL compartments has been combined with the amplification of the specific recognition events. In these setups, the positive or negative detection of fluorescence signal is triggered by enzymatic reactions occurring in each compartment.

Binary readout based on Poisson statistics quantifies ultra-low concentrations of analyte molecules. This approach has been adopted for nucleic acids analysis in current digital PCR, and is also available for proteins in a technique coined as digital ELISA.

The objective of VerSiLiB is to develop an enzyme-free amplification strategy for the analysis of both protein and nucleic acid analytes with the single digital platform that offers means to access additional information on target analytes not achievable with current technologies. Method is based on novel affinity-mediated-transport amplification, where affinity interaction of target analyte with a specific ligand attached to a magnetic nanoparticle transporter is accompanied with rapid shuttling of fluorescent tracers that serve as reporters. By applying external magnetic field, tracers are transported from the tracer storage side (where they are dark) to tracer active side (where they become bright) only if target analyte is present in the small reaction compartment. Tailored plasmonic nanostructures will be prepared at the storage and active sides of the compartment to render the tracer either dark or bright. The aim is to perform technology validation for the novel VerSiLiB proteogenomics amplification platform in cancer management using biobanked liquid biopsy samples.

Condition or Disease Intervention/Treatment Phase
  • Device: Affinity Mediated Transport Amplification (AMT)

Study Design

Study Type:
Observational [Patient Registry]
Anticipated Enrollment :
50 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Versatile Ampification Method for Single-Molecule Detection in Liquid Biopsy
Actual Study Start Date :
Apr 12, 2022
Anticipated Primary Completion Date :
Apr 12, 2025
Anticipated Study Completion Date :
Apr 12, 2026

Outcome Measures

Primary Outcome Measures

  1. New amplification model for the detection of rare biomarkers il liquid biopsy [3 years]

    Analysis of rare biomarkers in advanced melanoma patients anabling simultaneous, multiplexed detection and quantification of protein and nucleic acid analytes with sensitivity at single molecular level.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • PFS < 2

  • BRAF V600E Melanoma patients

  • patients in adjuvant therapy

  • written informed consent

Exclusion Criteria:
  • overall survival < 8 weeks

Contacts and Locations

Locations

Site City State Country Postal Code
1 "Regina Elena" National Cancer Institute Rome Italy 00144

Sponsors and Collaborators

  • Regina Elena Cancer Institute

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Regina Elena Cancer Institute
ClinicalTrials.gov Identifier:
NCT05940311
Other Study ID Numbers:
  • RS1685/22 (2670)
First Posted:
Jul 11, 2023
Last Update Posted:
Jul 17, 2023
Last Verified:
Aug 1, 2022
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Regina Elena Cancer Institute
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jul 17, 2023