Evidence map›Paper›PMID 32055269›Full record

ArticleInternational journal of clinical and experimental pathology2020

Potential value of V-domain Ig suppressor of T-cell activation for assessing progn osis in cervical cancer and as a target for therapy.

Ledi Kuang, Yuedong He

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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  3. Article
  4. Review
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

2 authors at 1 institution in 1 country.

Ledi KuangDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University Chengdu, P. R. China.
Yuedong HeDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University Chengdu, P. R. China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

V-domain Ig suppressor of T-cell activation (VISTA), which belongs to the B7 family and is expressed predominantly on hematopoetic cells, myeloid, granulocytic and T cells, can suppresses T-cell activation in vivo and vitro. The blockade of VISTA has displayed brilliant results in certain murine tumor models. But to date, little is known about the expression and impact of VISTA in human cervical cancer (CC). To fill this gap of information, we systemically investigated the expression of VISTA on tumor cells, intratumoral immune cells (ICs) and vascular endothelial cells (VECs) in a group of patients with CC by performing immunohistochemical analysis. The associations between VISTA expression and different clinicopathologic features were evaluated using Fisher's exact test, and the analysis of overall survival in different groups was performed by the construction of Kaplan-Meier models. The results indicated that high expression of VISTA on ICs or VECs was significantly related to advanced tumor stage and the lymph node metastasis (LNM) of CC. Furthermore, we performed multivariate Cox regression analysis, which showed that there was no association between VISTA expression and the 5-year overall survival rate, and LNM was the only independent predicting factor of poor prognosis for CC.

Indexed as

cervical cancerimmune checkpointimmunohistochemical stainingimmunotherapyoverall survival analysisV-domain immunoglobulin suppressor of T cell activation

Identifiers

PMID32055269
PMCPMC7013368
OpenAlexW3007311377

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.