Evidence map›Paper›PMID 24841281›Full record

ArticlePloS one2014

Raman spectroscopic study of radioresistant oral cancer sublines established by fractionated ionizing radiation.

Mohd Yasser, Rubina Shaikh, Murali Krishna Chilakapati, Tanuja Teni

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  7. Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases.Frontiers in cellular and infection microbiology · 2022
    Review
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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

4 authors at 2 institutions in 1 country.

Mohd YasserKS-121, Teni Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India.
Rubina ShaikhKS-04, Chilakapati Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India.
Murali Krishna ChilakapatiKS-04, Chilakapati Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India.
Tanuja TeniKS-121, Teni Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India.
Advanced Centre for Treatment, Research and Education in Cancer · INTata Memorial Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy is an important treatment modality for oral cancer. However, development of radioresistance is a major hurdle in the efficacy of radiotherapy in oral cancer patients. Identifying predictors of radioresistance is a challenging task and has met with little success. The aim of the present study was to explore the differential spectral profiles of the established radioresistant sublines and parental oral cancer cell lines by Raman spectroscopy. We have established radioresistant sublines namely, 50Gy-UPCI:SCC029B and 70Gy-UPCI:SCC029B from its parental UPCI:SCC029B cell line, by using clinically admissible 2Gy fractionated ionizing radiation (FIR). The developed radioresistant character was validated by clonogenic cell survival assay and known radioresistance-related protein markers like Mcl-1, Bcl-2, Cox-2 and Survivin. Altered cellular morphology with significant increase (p<0.001) in the number of filopodia in radioresistant cells with respect to parental cells was observed. The Raman spectra of parental UPCI:SCC029B, 50Gy-UPCI:SCC029B and 70Gy-UPCI:SCC029B cells were acquired and spectral features indicate possible differences in biomolecules like proteins, lipids and nucleic acids. Principal component analysis (PCA) provided three clusters corresponding to radioresistant 50Gy, 70Gy-UPCI:SCC029B sublines and parental UPCI:SCC029B cell line with minor overlap, which suggest altered molecular profile acquired by the radioresistant cells due to multiple doses of irradiation. The findings of this study support the potential of Raman spectroscopy in prediction of radioresistance and possibly contribute to better prognosis of oral cancer.

Indexed as

Radiation ToleranceAnalysis of VarianceBlotting, WesternCell Line, TumorCell SurvivalHumansMouth NeoplasmsPrincipal Component AnalysisRadiation, IonizingRadiographySpectrum Analysis, Raman

Identifiers

PMID24841281
PMCPMC4026477
OpenAlexW2057263190

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.