Evidence map›Paper›PMID 33132436›Full record

ArticleNagoya journal of medical science2020

Identification of cisplatin-resistant factor by integration of transcriptomic and proteomic data using head and neck carcinoma cell lines.

Daisuke Inukai, Kunihiro Nishimura, Hiroki Okamoto, Rui Sano, Hiromi Ueda, Akinobu Ota, Sivasundaram Karnan, Yoshitaka Hosokawa, Kazuhiro Yoshikawa, Susumu Suzuki and 4 more

Open access · greenAbstract read
In one paragraph

Article in Nagoya journal of medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Influence of S100A2 in Human Diseases.Diagnostics (Basel, Switzerland) · 2022
    Review
  3. 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

14 authors at 3 institutions in 2 countries.

Daisuke InukaiDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, Nagakute, Japan.
Kunihiro NishimuraDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, Nagakute, Japan.
Hiroki OkamotoDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, Nagakute, Japan.
Rui SanoDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, Nagakute, Japan.
Hiromi UedaDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, Nagakute, Japan.
Akinobu OtaDepartment of Biochemistry, Aichi Medical University School of Medicine, Nagakute, Japan.
Sivasundaram KarnanDepartment of Biochemistry, Aichi Medical University School of Medicine, Nagakute, Japan.
Yoshitaka HosokawaDepartment of Biochemistry, Aichi Medical University School of Medicine, Nagakute, Japan.
Kazuhiro YoshikawaResearch Creation Support Center, Aichi Medical University School of Medicine, Nagakute, Japan.
Susumu SuzukiResearch Creation Support Center, Aichi Medical University School of Medicine, Nagakute, Japan.
Ryuzo UedaDepartment of Tumor Immunology, Aichi Medical University School of Medicine, Nagakute, Japan.
Kenta MurotaniBiostatistics Center, Graduate School of Medicine, Kurume University, Kurume, Japan.
Carol R BradfordDepartment of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, USA.
Tetsuya OgawaDepartment of Otorhinolaryngology, Aichi Medical University School of Medicine, Nagakute, Japan.
Aichi Medical University · JPKurume University · JPUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cisplatin is an important drug for the treatment of head and neck squamous cell carcinoma (HNSCC). Determining chemoresistant factors prior to treatment will lead to great benefits for clinicians and patients. Here, we evaluated chemoresistant factors by integrating proteomic and transcriptomic data using HNSCC cell lines to identify a more precise chemoresistant factor in HNSCC. We used four HNSCC cell lines: cisplatin-sensitive, acquired cisplatin resistance, naturally cisplatin-resistant, and acquired 5-FU resistance. Proteomic analysis was performed using iTRAQ, tandem mass spectrometry, and liquid chromatography-electrospray ionization-tandem mass spectrometry. Transcriptomic analysis was performed using microarrays. By integrating these independent data, common factors were addressed and functional analysis was performed using small interfering RNAs (siRNAs) to change the chemosensitivity. Using iTRAQ analysis, 7 proteins were identified as specific for cisplatin chemoresistance factors. Transcriptomic analysis revealed hundreds of potential candidate factors. By combining and integrating these data, S100A2 was identified as a potential cisplatin-specific chemoresistance factor. Functional analysis with siRNA revealed that the expression of S100A2 was reduced and cisplatin sensitivity recovered in the acquired and naturally cisplatin-resistant cell lines, but not in the cisplatin-sensitive cell lines. S100A2 was identified as a cisplatin-specific chemoresistance factor by integrating the transcriptomic and proteomic results obtained using HNSCC cell lines. This is a novel technique that allows for a precise identification, also known as a comprehensive analysis. Our findings indicate that these proteins could be used as biomarkers of HNSCC treatments, providing physicians with new treatment strategies for patients with HNSCC, showing chemoresistance.

Indexed as

Blotting, WesternCell Line, TumorCell SurvivalChemotactic FactorsChromatography, LiquidCisplatinFluorouracilHead and Neck NeoplasmsHumansProteomicsRNA, Small InterferingS100 ProteinsTandem Mass SpectrometryTranscriptomeChemotactic FactorsCisplatinFluorouracilRNA, Small InterferingS100A2 protein, humanS100 Proteinscisplatin resistant factorhead and neck squamous cell carcinomaproteomicsS100A2transcriptomics

Identifiers

PMID33132436
PMCPMC7548249
OpenAlexW3095717728

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.