Evidence map›Paper›PMID 35760997›Full record

ArticleAdvances in experimental medicine and biology2022

Coupling Micro-Physiological Systems and Biosensors for Improving Cancer Biomarkers Detection.

Virginia Brancato, Rui L Reis, Subhas C Kundu

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Virginia Brancato3B's Research Group, I3Bs-Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Guimarães, Portugal. virginia.brancato@i3bs.uminho.pt.
Rui L Reis3B's Research Group, I3Bs-Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Guimarães, Portugal.
Subhas C Kundu3B's Research Group, I3Bs-Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, Guimarães, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early cancer detection is still a major clinical challenge. The development of innovative and noninvasive screening approaches for the detection of predictive biomarkers indicating the stage of the disease could save many lives. Traditional in vitro and in vivo models are not adequate to copycat the native tumor microenvironment and for the discovery of new biomarkers. Recent advances in microfluidics, biosensors, and 3D cell biology speed up the development of micro-physiological bioengineered systems that improve the discovery of new potential cancer biomarkers. This can accelerate the individualization of cancer treatments leading to precision medicine-oriented approaches that could improve patient prognosis. For this reason, it is necessary to develop point-of-care diagnostic tools that can be user-friendly, miniaturized, and easily translated into clinical practice. This chapter describes how far this new generation of cutting-edge technologies, such as microfluidics, label-free detection systems, and molecular diagnostics, are from being applied in the current clinical practice.

Indexed as

Biosensing TechniquesNeoplasmsBiomarkers, TumorEarly Detection of CancerHumansMicrofluidicsPrecision MedicineBiomarkers, TumorBiosensorsCancer diagnosisCancer modellingCancer organoidsMicrofluidics

Identifiers

What OpenQuestion holds

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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.