Evidence map›Paper›PMID 37340028›Full record

ArticleScientific reports2023

Data mining on identifying diagnosis and prognosis biomarkers in head and neck squamous carcinoma.

Guoyuan Ju, Zhangyu Yao, Yanbin Zhao, Xiaotong Zhao, Fangzhou Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bioinformatics analysis revealsTranslational cancer research · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors at 3 institutions in 1 country.

Guoyuan Ju *The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210029, China.
Zhangyu Yao *Department of Head and Neck Surgery, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yanbin ZhaoDepartment of Head and Neck Surgery, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xiaotong ZhaoDepartment of Otorhinolaryngology and Head and Neck Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China. xiaotongzhao1@gmail.com.
Fangzhou LiuDepartment of Head and Neck Surgery, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210029, China. liufangzhou2017@sina.com.
Jiangsu Cancer Hospital · CNNanjing Medical University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck squamous carcinoma (HNSC) induces high cancer-related death worldwide. The biomarker screening on diagnosis and prognosis is of great importance. This research is aimed to explore the specific diagnostic and prognostic biomarkers for HNSC through bioinformatics analysis. The mutation and dysregulation data were acquired from UCSC Xena and TCGA databases. The top ten genes with mutation frequency in HNSC were TP53 (66%), TTN (35%), FAT1 (21%), CDKN2A (20%), MUC16 (17%), CSMD3 (16%), PIK3CA (16%), NOTCH1 (16%), SYNE1 (15%), LRP1B (14%). A total of 1,060 DEGs were identified, with 396 up-regulated and 665 downregulated in HNSC patients. Patients with lower expression of ACTN2 (P = 0.039, HR = 1.3), MYH1 (P = 0.005, HR = 1.5), MYH2 (P = 0.035, HR = 1.3), MYH7 (P = 0.053, HR = 1.3), and NEB (P = 0.0043, HR = 1.5) exhibit longer overall survival time in HNSC patients. The main DEGs were further analyzed by pan-cancer expression and immune cell infiltration analyses. MYH1, MYH2, and MYH7 were dysregulated in the cancers. Compared with HNSC, their expression levels are lower in the other types of cancers. MYH1, MYH2, and MYH7 were expected to be the specific diagnostic and prognostic molecular biomarkers of HNSC. All five DEGs have a significant positive correlation with CD4+T cells and macrophages.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsBiomarkers, TumorCyclin-Dependent Kinase Inhibitor ProteinsData MiningGenes, p16Genes, RegulatorHumansPrognosisBiomarkers, TumorCyclin-Dependent Kinase Inhibitor Proteins

Identifiers

PMID37340028
PMCPMC10282046
OpenAlexW4381470219

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.