Evidence map›Paper›PMID 39438723›Full record

ArticleScientific reports2024

Determination of platinum-resistance of women with ovarian cancer by FTIR spectroscopy combined with multivariate analyses and machine learning methods.

Marta Kluz-Barłowska, Tomasz Kluz, Wiesław Paja, Jaromir Sarzyński, Edyta Barnaś, Monika Łączyńska-Madera, Yaroslav Shpotyuk, Ewelina Gumbarewicz, Bartosz Klebowski, Jozef Cebulski and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Marta Kluz-BarłowskaDepartment of Pathology, Fryderyk Chopin University Hospital, F. Szopena 2, Rzeszow, 35-055, Poland. marta.kluz@interia.pl.
Tomasz KluzDepartment of Gynecology, Gynecology Oncology and Obstetrics, Fryderyk Chopin University Hospital, F. Szopena 2, Rzeszow, 35-055, Poland.
Wiesław PajaInstitute of Computer Science, College of Natural Sciences, University of Rzeszow, Rzeszow, 35-959, Poland.
Jaromir SarzyńskiInstitute of Computer Science, College of Natural Sciences, University of Rzeszow, Rzeszow, 35-959, Poland.
Edyta BarnaśInstitute of Health Sciences, Medical College, University of Rzeszow, Kopisto 2a, 35‑959, Rzeszow, Poland.
Monika Łączyńska-MaderaDepartment of Gynecology, Gynecology Oncology and Obstetrics, Fryderyk Chopin University Hospital, F. Szopena 2, Rzeszow, 35-055, Poland.
Yaroslav ShpotyukInstitute of Physics, College of Natural Sciences, University of Rzeszow, Rzeszow, 35-959, Poland.
Ewelina GumbarewiczDepartment of Biochemistry and Molecular Biology, Medical University of Lublin, Lublin, 20-093, Poland.
Bartosz KlebowskiInstitute of Nuclear Physics, Polish Academy of Sciences, Krakow, 31-342, Poland.
Jozef CebulskiInstitute of Physics, College of Natural Sciences, University of Rzeszow, Rzeszow, 35-959, Poland.
Joanna DepciuchDepartment of Biochemistry and Molecular Biology, Medical University of Lublin, Lublin, 20-093, Poland. joanna.depciuch@ifj.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with high-grade ovarian cancer have a poor prognosis, thus effective treatment remains an unmet medical issue of high importance. Moreover, finding the reason for resistance to cisplatin is a crucial task for the improvement of anti-cancer drugs. In this study, we showed for the first time a chemical difference in a serum collected from platinum-resistance and platinum-sensitive women suffering from ovarian cancer using Fourier Transform InfraRed (FTIR) spectroscopy followed by a data analysis by Principal Component Analysis (PCA), Hierarchical Component Analysis (HCA) and 4 different machine learning algorithms. Obtained results showed a shift of PO

Indexed as

Drug Resistance, NeoplasmMachine LearningOvarian NeoplasmsAdultAgedAntineoplastic AgentsCisplatinFemaleHumansMiddle AgedMultivariate AnalysisPrincipal Component AnalysisSpectroscopy, Fourier Transform InfraredAntineoplastic AgentsCisplatinFTIRMachine learningOvarian cancerPCAPlatinum-resistance women

Identifiers

PMID39438723
PMCPMC11496739

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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.