Evidence map›Paper›PMID 37314731›Full record

ReviewLab on a chip2023

Integrated "lab-on-a-chip" microfluidic systems for isolation, enrichment, and analysis of cancer biomarkers.

Sushruta Surappa, Priyanka Multani, Ugur Parlatan, Prima Dewi Sinawang, Jussuf Kaifi, Demir Akin, Utkan Demirci

Abstract readReview
In one paragraph

Review in Lab on a chip, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sushruta SurappaCanary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA. utkan@stanford.edu.ORCID 0000-0002-9415-0434
Priyanka MultaniCanary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA. utkan@stanford.edu.ORCID 0000-0002-0561-6029
Ugur ParlatanCanary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA. utkan@stanford.edu.
Prima Dewi SinawangCanary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA. utkan@stanford.edu.ORCID 0000-0001-8460-3260
Jussuf KaifiDepartment of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA.
Demir AkinCanary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA. utkan@stanford.edu.
Utkan DemirciCanary Center at Stanford for Cancer Early Detection, Bio-Acoustic MEMS in Medicine (BAMM) Lab, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304, USA. utkan@stanford.edu.ORCID 0000-0003-2784-1590

Funding

Exosome separation and digital resolution detection of blood-based nucleic acid biomarkers for noninvasive therapeutic diagnostics in cancerR01EB029805 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CUNNINGHAM, BRIAN T., DEMIRCI, UTKAN · 2020 to 2023
$2.1M
A novel microfluidic platform to study exosome biology in PAH.R21HL156761 · NHLBI · STANFORD UNIVERSITY · PI DE JESUS PEREZ, VINICIO A, DEMIRCI, UTKAN · 2021 to 2022
$433k
NOVEL EXOSOME BIOMARKERS OF IRON PATHOLOGY IN ADR21AG072675 · NIA · STANFORD UNIVERSITY · PI DEMIRCI, UTKAN, ZEINEH, MICHAEL M · 2021 to 2021
$433k
NHLBI NIH HHS R21 HL156761NIA NIH HHS R21 AG072675NIBIB NIH HHS R01 EB029805
6 · The paper itself

Abstract

The liquid biopsy has garnered considerable attention as a complementary clinical tool for the early detection, molecular characterization and monitoring of cancer over the past decade. In contrast to traditional solid biopsy techniques, liquid biopsy offers a less invasive and safer alternative for routine cancer screening. Recent advances in microfluidic technologies have enabled handling of liquid biopsy-derived biomarkers with high sensitivity, throughput, and convenience. The integration of these multi-functional microfluidic technologies into a 'lab-on-a-chip' offers a powerful solution for processing and analyzing samples on a single platform, thereby reducing the complexity, bio-analyte loss and cross-contamination associated with multiple handling and transfer steps in more conventional benchtop workflows. This review critically addresses recent developments in integrated microfluidic technologies for cancer detection, highlighting isolation, enrichment, and analysis strategies for three important sub-types of cancer biomarkers: circulating tumor cells, circulating tumor DNA and exosomes. We first discuss the unique characteristics and advantages of the various lab-on-a-chip technologies developed to operate on each biomarker subtype. This is then followed by a discussion on the challenges and opportunities in the field of integrated systems for cancer detection. Ultimately, integrated microfluidic platforms form the core of a new class of point-of-care diagnostic tools by virtue of their ease-of-operation, portability and high sensitivity. Widespread availability of such tools could potentially result in more frequent and convenient screening for early signs of cancer at clinical labs or primary care offices.

Indexed as

Microfluidic Analytical TechniquesNeoplastic Cells, CirculatingBiomarkers, TumorDNA, NeoplasmHumansLab-On-A-Chip DevicesMicrofluidicsBiomarkers, TumorDNA, Neoplasm

Identifiers

PMID37314731
PMCPMC10834032

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.