Evidence map›Paper›PMID 33419893›Full record

ArticleCancer genomics & proteomics

Transcriptomic Profiling Predicts Multiple Pathways and Molecules Associated With the Metastatic Phenotype of Oral Cancer Cells.

Yuka Ideta, Takanobu Tagawa, Yuichiro Hayashi, Junichi Baba, Kimiko Takahashi, Kenji Mitsudo, Kouhei Sakurai

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. In Silico Analysis of Squamous Cell Carcinoma.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Pan-Cancer Metastasis Prediction Based on Graph Deep Learning Method.Frontiers in cell and developmental biology · 2021
    Article
  4. Article
  5. 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

7 authors at 2 institutions in 1 country.

Yuka IdetaDepartment of Oral and Maxillofacial Surgery, Graduate School of Medicine, Yokohama City University, Kanagawa, Japan.
Takanobu TagawaHIV and AIDS Malignancy Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, U.S.A.
Yuichiro HayashiDepartment of Oral and Maxillofacial Surgery, Graduate School of Medicine, Yokohama City University, Kanagawa, Japan.
Junichi BabaDepartment of Oral and Maxillofacial Surgery, Graduate School of Medicine, Yokohama City University, Kanagawa, Japan.
Kimiko TakahashiDepartment of Nutrition and Dietetics, School of Family and Consumer Sciences, Kamakura Women's University, Kanagawa, Japan.
Kenji MitsudoDepartment of Oral and Maxillofacial Surgery, Graduate School of Medicine, Yokohama City University, Kanagawa, Japan.
Kouhei SakuraiDepartment of Oral and Maxillofacial Surgery, Graduate School of Medicine, Yokohama City University, Kanagawa, Japan; ksakurai@kamakura-u.ac.jp.
Yokohama City University · JPKamakura Women's University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimMetastasis to cervical lymph nodes of oral squamous cell carcinoma (OSCC) leads to a poor prognosis. The present study aimed at investigating the pathways and molecules associated with OSCC metastasis. MATERIALS AND

methodsThe transcriptome between HSC-3 cells and their highly metastatic subline, HSC-3-M3 cells, was examined using gene expression microarray. Gene enrichment analyses and Ingenuity Pathway Analysis were performed. Kaplan-Meier plot analysis using a publicly available dataset was conducted to assess whether candidate molecules are prognosticators.

resultsA total of 1,018 genes were differentially expressed, and the inflammatory pathway and NF-kB were predicted to be activated in HSC-3-M3 cells. CSF2 was suggested to be an indicator of poor prognosis in head and neck cancers.

conclusionInflammation and NF-kB may be involved in the metastasis of OSCC, and CSF2 is a promising diagnostic and therapeutic molecule. Moreover, HSC-3-M3 cells are a useful cell line model for studying OSCC progression.

Indexed as

Biomarkers, TumorFemaleHumansMaleMouth NeoplasmsNeoplasm MetastasisNF-kappa BTranscriptomeBiomarkers, TumorNF-kappa BCSF2.inflammationmetastasisNF-kBOral cancertranscriptome

Identifiers

PMID33419893
PMCPMC7796819
OpenAlexW3118703088

What OpenQuestion holds

Textmetadata
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.