Evidence map›Paper›PMID 34320941›Full record

ArticleBMC cancer2021

Cancer cell line microarray as a novel screening method for identification of radioresistance biomarkers in head and neck squamous cell carcinoma.

Johannes Routila, Karri Suvila, Reidar Grénman, Ilmo Leivo, Jukka Westermarck, Sami Ventelä

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

6 authors at 4 institutions in 1 country.

Johannes RoutilaTurku Bioscience Centre, University of Turku and Åbo Akademi university, Turku, Finland.
Karri SuvilaTurku Bioscience Centre, University of Turku and Åbo Akademi university, Turku, Finland.
Reidar GrénmanDepartment for Otorhinolaryngology - Head and Neck Surgery, Turku University Hospital and University of Turku, Kiinamyllynkatu 4-8, 20521, Turku, Finland.
Ilmo LeivoInstitute of Biomedicine, University of Turku, Kiinamyllynkatu 10, 20520, Turku, Finland.
Jukka WestermarckTurku Bioscience Centre, University of Turku and Åbo Akademi university, Turku, Finland.
Sami VenteläTurku Bioscience Centre, University of Turku and Åbo Akademi university, Turku, Finland. satuve@utu.fi.
University of Turku · FIÅbo Akademi University · FITurku Centre for Computer Science · FITurku University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, no clinically useful biomarkers for radioresistance are available in head and neck squamous cell carcinoma (HNSCC). This study assesses the usefulness of Cell Line Microarray (CMA) method to enhance immunohistochemical screening of potential immunohistochemical biomarkers for radioresistance in HNSCC cell lines.

methodsTwenty-nine HNSCC cell lines were cultured, cell pellets formalin-fixed, paraffin-embedded, and arrayed. Radioresistance features of the cell lines were combined to immunohistochemical stains for p53, NDFIP1, EGFR, stem cell marker Oct4, and PP2A inhibitor CIP2A.

resultsExpression of p53, EGFR or CIP2A did not indicate intrinsic radioresistance in vitro. Stem cell marker Oct4 nuclear positivity and NDFIP1 nuclear positivity was correlated with increased intrinsic radioresistance.

conclusionThe usefulness of CMA in analysis of HNSCC cell lines and discovery of biomarkers is demonstrated. CMA is very well adapted to both testing of antibodies in a large panel of cell lines as well as correlating staining results with other cell line characteristics. In addition, CMA-based antibody screening proved an efficient and relatively simple method to identify potential radioresistance biomarkers in HNSCC.

Indexed as

Biomarkers, TumorGene Expression ProfilingAdultAgedAged, 80 and overCell Line, TumorFemaleGene SilencingHumansImmunohistochemistryMaleMicroarray AnalysisMiddle AgedRadiation ToleranceRNA InterferenceRNA, Small InterferingBiomarkers, TumorRNA, Small InterferingHead and neck cancerOct4RadioresistanceRadiosensitivityStemness

Identifiers

PMID34320941
PMCPMC8320194
OpenAlexW3183694272

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.