Evidence map›Paper›PMID 33692955›Full record

ArticleFrontiers in oncology2021

Liangliang Meng, Xiaoxi He, Quan Hong, Bo Qiao, Xiao Zhang, Bin Wu, Xiaobo Zhang, Yingtian Wei, Jing Li, Zhaoxiang Ye and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Imaging transcriptomics in basal cell carcinoma: Coupling in vivo tumor morphology with gene expression.JID innovations : skin science from molecules to population health · 2026
    Article
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  4. SubvertingBiology · 2024
    Review
  5. Article
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  9. Article
  10. Article
  11. Article
  12. Frontiers in genetics · 2021
    Article
  13. The Prognostic Value and Immune Landscapes of a mFrontiers in cell and developmental biology · 2021
    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

11 authors at 2 institutions in 1 country.

Liangliang MengMedical School of Chinese PLA, Beijing, China.
Xiaoxi HeDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Quan HongDepartment of Nephrology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center of Kidney Diseases, Beijing, China.
Bo QiaoDepartment of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiao ZhangDepartment of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Bin WuDepartment of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Xiaobo ZhangDepartment of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Yingtian WeiDepartment of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Jing LiDepartment of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Zhaoxiang YeDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Yueyong XiaoDepartment of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) plays a critical role in the initiation and progression of cancer. However, the specific mechanism of its regulation in head and neck squamous cell carcinoma (HNSCC) remains unclear. In this study, we first applied the ESTIMATE method to calculate the immune and stromal scores in patients' tumor tissues from The Cancer Genome Atlas (TCGA) database. GSE41613, GSE30784, and GSE37991 data sets from the Gene Expression Omnibus (GEO) database were recruited for further validation. Differentially expressed genes (DEGs) were identified and then analyzed by Cox regression analysis and protein-protein interaction (PPI) network construction. DEGs significantly associated with prognosis and TME will be identified as hub genes. These genes were also validated at the protein level by immunohistochemical analysis of 10 pairs of primary tumor tissues and the adjacent normal tissues from our institution. The relationship between hub genes expression and immune cell fraction estimated by CIBERSORT software was also examined. 275 DEGs were significantly associated with TME.

Indexed as

geneimmunesquamous cell carcinomasurvivaltumor microenvironment

Identifiers

PMID33692955
PMCPMC7937936
OpenAlexW3132418251

What Socratic 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 Socratic graph.