Evidence map›Paper›PMID 29388456›Full record

ReviewCritical reviews in clinical laboratory sciences2018

Advances in liquid biopsy on-chip for cancer management: Technologies, biomarkers, and clinical analysis.

Amogha Tadimety, Andrew Closson, Cathy Li, Song Yi, Ting Shen, John X J Zhang

Abstract readReview
In one paragraph

Review in Critical reviews in clinical laboratory sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review
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

6 authors.

Amogha Tadimetya Thayer School of Engineering , Dartmouth College , Hanover , NH , USA.
Andrew Clossona Thayer School of Engineering , Dartmouth College , Hanover , NH , USA.
Cathy Lia Thayer School of Engineering , Dartmouth College , Hanover , NH , USA.
Song Yib Nanolite Systems , Austin , TX , USA.
Ting Shenb Nanolite Systems , Austin , TX , USA.
John X J Zhanga Thayer School of Engineering , Dartmouth College , Hanover , NH , USA.

Funding

Implantable Cardiac Power Generation Using Flexible 3D Porous Thin FilmsR01HL137157 · NHLBI · DARTMOUTH COLLEGE · PI ZHANG, XIAOJING · 2016 to 2020
$2.2M
Detection of CarcinomasR01CA139070 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHANG, XIAOJING · 2011 to 2013
$925k
NCI NIH HHS R01 CA139070NHLBI NIH HHS R01 HL137157
6 · The paper itself

Abstract

Liquid biopsy, as a minimally invasive method of gleaning insight into the dynamics of diseases through a patient fluid sample, has been growing in popularity for cancer diagnosis, prognosis, and monitoring. While many technologies have been developed and validated in research laboratories, there has also been a push to expand these technologies into other clinical settings and as point of care devices. In this article, we discuss and evaluate microchip-based technologies for circulating tumor cell (CTC), exosome, and circulating tumor nucleic acid (ctNA) capture, detection, and analysis. Such integrated systems streamline otherwise multiple-step, manual operations to get a sample-to-answer quantitation. In addition, analysis of disease biomarkers is suited to point of care settings because of ease of use, low consumption of sample and reagents, and high throughput. We also cover the basics of biomarkers and their detection in biological fluid samples suitable for liquid biopsy on-chip. We focus on emerging technologies that process a small patient sample with high spatial-temporal resolution and derive clinically meaningful results through on-chip biomarker sensing and downstream molecular analysis in a simple workflow. This critical review is meant as a resource for those interested in developing technologies for capture, detection, and analysis platforms for liquid biopsy in a variety of settings.

Indexed as

Lab-On-A-Chip DevicesLiquid BiopsyNeoplasmsBiomarkers, TumorBiosensing TechniquesHumansPoint-of-Care SystemsBiomarkers, TumorLiquid biopsy; cancer biomarker; biosensor; lab-on-chip; point of care

Identifiers

PMID29388456
PMCPMC6101655

What Socratic holds

Textmetadata
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 Socratic graph.