Evidence map›Paper›PMID 31213635›Full record

ArticleScientific reports2019

Exploring subcellular responses of prostate cancer cells to X-ray exposure by Raman mapping.

Maciej Roman, Tomasz P Wrobel, Agnieszka Panek, Esen Efeoglu, Joanna Wiltowska-Zuber, Czeslawa Paluszkiewicz, Hugh J Byrne, Wojciech M Kwiatek

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Frontiers in bioengineering and biotechnology · 2020
    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

8 authors at 2 institutions in 2 countries.

Maciej RomanInstitute of Nuclear Physics Polish Academy of Sciences, PL-31342, Krakow, Poland. Maciej.Roman@ifj.edu.pl.ORCID http://orcid.org/0000-0003-0921-426X
Tomasz P WrobelInstitute of Nuclear Physics Polish Academy of Sciences, PL-31342, Krakow, Poland.ORCID http://orcid.org/0000-0003-2053-0570
Agnieszka PanekInstitute of Nuclear Physics Polish Academy of Sciences, PL-31342, Krakow, Poland.ORCID http://orcid.org/0000-0002-3162-2668
Esen EfeogluFOCAS Research Institute, Technological University Dublin, Kevin Street, Dublin, 8, Ireland.ORCID http://orcid.org/0000-0002-3380-0499
Joanna Wiltowska-ZuberInstitute of Nuclear Physics Polish Academy of Sciences, PL-31342, Krakow, Poland.
Czeslawa PaluszkiewiczInstitute of Nuclear Physics Polish Academy of Sciences, PL-31342, Krakow, Poland.ORCID http://orcid.org/0000-0003-0186-8090
Hugh J ByrneFOCAS Research Institute, Technological University Dublin, Kevin Street, Dublin, 8, Ireland.ORCID http://orcid.org/0000-0002-1735-8610
Wojciech M KwiatekInstitute of Nuclear Physics Polish Academy of Sciences, PL-31342, Krakow, Poland.ORCID http://orcid.org/0000-0002-2197-8572
Institute of Nuclear Physics, Polish Academy of Sciences · PLTechnological University Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the response of cancer cells to ionising radiation is a crucial step in modern radiotherapy. Raman microspectroscopy, together with Partial Least Squares Regression (PLSR) analysis has been shown to be a powerful tool for monitoring biochemical changes of irradiated cells on the subcellular level. However, to date, the majority of Raman studies have been performed using a single spectrum per cell, giving a limited view of the total biochemical response of the cell. In the current study, Raman mapping of the whole cell area was undertaken to ensure a more comprehensive understanding of the changes induced by X-ray radiation. On the basis of the collected Raman spectral maps, PLSR models were constructed to elucidate the time-dependent evolution of chemical changes induced in cells by irradiation, and the performance of PLSR models based on whole cell averages as compared to those based on average Raman spectra of cytoplasm and nuclear region. On the other hand, prediction of X-ray doses for individual cellular components showed that cytoplasmic and nuclear regions should be analysed separately. Finally, the advantage of the mapping technique over single point measurements was verified by a comparison of the corresponding PLSR models.

Indexed as

X-RaysCell NucleusCell SurvivalCytoplasmDose-Response Relationship, RadiationHumansIntracellular SpaceLeast-Squares AnalysisMalePC-3 CellsProstateProstatic NeoplasmsSpectrum Analysis, RamanTime Factors

Identifiers

PMID31213635
PMCPMC6581960
OpenAlexW2952294644

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.