Evidence map›Paper›PMID 32785873›Full record

ArticleJournal of molecular histology2020

Overexpression of PREX1 in oral squamous cell carcinoma indicates poor prognosis.

Shu-Cheng Wan, Hao Wu, Hao Li, Wei-Wei Deng, Yao Xiao, Cong-Cong Wu, Lei-Lei Yang, Wen-Feng Zhang, Zhi-Jun Sun

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular histology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 47% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

9 authors at 1 institution in 1 country.

Shu-Cheng WanThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Hao WuThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Hao LiThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Wei-Wei DengThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Yao XiaoThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Cong-Cong WuThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Lei-Lei YangThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Wen-Feng ZhangThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Zhi-Jun SunThe State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China. sunzj@whu.edu.cn.ORCID http://orcid.org/0000-0003-0932-8013
Wuhan University · CN

Funding

the National Nature Science Foundation of China 81874131, 81672668
6 · The paper itself

Abstract

Phosphatidylinositol 3,4,5-trisphosphate-dependent Rac exchanger (P-Rex) proteins control many fundamental cellular functions including cell migration, actin cytoskeletal rearrangement and adhesion in many cancers. However, P-Rex1 expression and its prognostic effect and possible clinical value are not clearly elucidated in human oral squamous cell carcinoma (OSCC). Here, OSCC tissue microarrays were used to verify the expression levels of P-Rex1, coinhibitory immune checkpoints and tumor associated macrophage (TAM) markers, and to analyze the relationship between PREX1 expression levels and clinicopathological characteristics in OSCC. The study found that P-Rex1 expression was elevated in OSCC compared to dysplasia and normal mucosa (P < 0.0001). In addition, patients who expressed high PREX1 had a poorer prognosis than those who expressed low PREX1 (P = 0.0070). Furthermore, positive correlations were found between P-Rex1 expression and the immune checkpoints PD-L1, Galectin-9 and B7-H4, and the TAM markers CD68, CD206 and CD163. In short, these findings implicated that overexpression of P-Rex1 may predict a poor prognosis in human OSCC.

Indexed as

Gene ExpressionBiomarkersBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorComputational BiologyGuanine Nucleotide Exchange FactorsHumansImmunohistochemistryLymph NodesMouth NeoplasmsNeoplasm StagingPrognosisTranscriptomeBiomarkersBiomarkers, TumorGuanine Nucleotide Exchange FactorsPREX1 protein, humanImmune suppressionOral squamous cell carcinomaPhosphatidylinositol 3,4,5-trisphosphate-dependent Rac exchanger (P-Rex)Tumor-associated macrophages

Identifiers

PMID32785873
OpenAlexW3048845310

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.