Evidence map›Paper›PMID 32236620›Full record

ArticleOncology reports2020

Transcriptome analysis of tongue cancer based on high‑throughput sequencing.

Mingming Tang, Wencheng Dai, Hao Wu, Xinjiang Xu, Bin Jiang, Yingze Wei, Hongyan Qian, Liang Han

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

8 authors at 2 institutions in 1 country.

Mingming Tang *Department of Head and Neck Surgery, Nantong Tumor Hospital, Nantong, Jiangsu 226361, P.R. China.
Wencheng Dai *Department of Head and Neck Surgery, Nantong Tumor Hospital, Nantong, Jiangsu 226361, P.R. China.
Hao WuDepartment of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Xinjiang XuDepartment of Head and Neck Surgery, Nantong Tumor Hospital, Nantong, Jiangsu 226361, P.R. China.
Bin JiangDepartment of Head and Neck Surgery, Nantong Tumor Hospital, Nantong, Jiangsu 226361, P.R. China.
Yingze WeiDepartment of Clinical Pathology, Nantong Tumor Hospital, Nantong, Jiangsu 226361, P.R. China.
Hongyan QianKey Laboratory of Cancer Research Center Nantong, Nantong Tumor Hospital, Nantong, Jiangsu 226361, P.R. China.
Liang HanDepartment of Head and Neck Surgery, Nantong Tumor Hospital, Nantong, Jiangsu 226361, P.R. China.
Nantong Tumor Hospital · CNAffiliated Hospital of Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tongue cancer is one of the most common types of cancer, but its molecular etiology and pathogenesis remain unclear. The aim of the present study was to elucidate the pathogenesis of tongue cancer and investigate novel potential diagnostic and therapeutic targets. Four matched pairs of tongue cancer and paracancerous tissues were collected for RNA sequencing (RNA‑Seq), and the differentially expressed genes were analyzed. The RNA‑Seq data of tongue cancer tissues were further analyzed using bioinformatics and reverse transcription‑quantitative PCR analysis. The sequenced reads were quantified and qualified in accordance with the analysis demands. The transcriptomes of the tongue cancer tissues and paired paracancerous tissues were analyzed, and 1,700 upregulated and 2,249 downregulated genes were identified. Gene Ontology analysis uncovered a significant enrichment in the terms associated with extracellular matrix (ECM) organization, cell adhesion and collagen catabolic processes. Kyoto Encyclopedia of Genes and Genomes analysis demonstrated that these differentially expressed genes were mainly enriched in the focal adhesion pathway, ECM‑receptor interaction pathway, phosphoinositide 3‑kinase (PI3K)‑Akt pathway, and cell adhesion molecules. Comprehensive analyses of the gene tree and pathway network revealed that the majority of cell cycle genes were upregulated, while the majority of the genes associated with intracellular response, cell adhesion and cell differentiation were downregulated. The ECM‑receptor interaction, focal adhesion kinase (FAK) and PI3K‑Akt pathways were closely associated with one another and held key positions in differential signaling pathways. The ECM‑receptor, FAK and PI3K‑Akt signaling pathways were found to synergistically promote tongue cancer occurrence and progression, and may serve as potential diagnostic and therapeutic targets for this type of cancer.

Indexed as

Gene Regulatory NetworksAgedFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMolecular Sequence AnnotationNeoplasm StagingSequence Analysis, RNATongue NeoplasmsGene Ontology analysisKyoto Encyclopedia of Genes and Genomes analysisphosphoinositide 3-kinase-AktRNA sequencingtongue cancer

Identifiers

PMID32236620
PMCPMC7160550
OpenAlexW3012710267

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.