Evidence map›Paper›PMID 31146464›Full record

ReviewCancers2019

Surface-Enhanced Raman Spectroscopy in Cancer Diagnosis, Prognosis and Monitoring.

Luca Guerrini, Ramon A Alvarez-Puebla

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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

2 authors.

Luca GuerriniDepartment of Physical and Inorganic Chemistry and EMaS, Universitat Rovira I Virgili, Carrer de Marcel.lí Domingo s/n, 43007 Tarragona, Spain. luca.guerrini@urv.cat.ORCID 0000-0002-2925-1562
Ramon A Alvarez-PueblaDepartment of Physical and Inorganic Chemistry and EMaS, Universitat Rovira I Virgili, Carrer de Marcel.lí Domingo s/n, 43007 Tarragona, Spain. ramon.alvarez@urv.cat.

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2017SGR883Ministerio de Economía, Industria y Competitividad, Gobierno de España CTQ2017-88648RMinisterio de Economía, Industria y Competitividad, Gobierno de España RYC-2016-20331Universitat Rovira i Virgili 2017EXIT-08Universitat Rovira i Virgili 2018PFR-URV-B2-02
6 · The paper itself

Abstract

As medicine continues to advance our understanding of and knowledge about the complex and multifactorial nature of cancer, new major technological challenges have emerged in the design of analytical methods capable of characterizing and assessing the dynamic heterogeneity of cancer for diagnosis, prognosis and monitoring, as required by precision medicine. With this aim, novel nanotechnological approaches have been pursued and developed for overcoming intrinsic and current limitations of conventional methods in terms of rapidity, sensitivity, multiplicity, non-invasive procedures and cost. Eminently, a special focus has been put on their implementation in liquid biopsy analysis. Among optical nanosensors, those based on surface-enhanced Raman scattering (SERS) have been attracting tremendous attention due to the combination of the intrinsic prerogatives of the technique (e.g., sensitivity and structural specificity) and the high degree of refinement in nano-manufacturing, which translate into reliable and robust real-life applications. In this review, we categorize the diverse strategic approaches of SERS biosensors for targeting different classes of tumor biomarkers (cells, nucleic acids and proteins) by illustrating key recent research works. We will also discuss the current limitations and future research challenges to be addressed to improve the competitiveness of SERS over other methodologies in cancer medicine.

Indexed as

cancercirculating tumor cellscirculating tumor nucleic acidsdiagnosisnanoparticlesoncoproteinsoptical sensorsprognosisSERS

Identifiers

PMID31146464
PMCPMC6627759

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.