Evidence map›Paper›PMID 37841886›Full record

ArticleDisease markers2023

Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer.

Qing Li, Zongjing Yang, Xingqing Ling, Junming Ye, Jiaying Wu, Yu Wang, Chun Yao, Jinghui Zheng

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 20% 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, 4 citations in OpenAlex.

  1. Translational cancer research · 2026
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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.

Qing LiGuangxi University of Chinese Medicine, Nanning 530000, Guangxi, China.ORCID https://orcid.org/0009-0007-2178-1116
Zongjing YangGuangxi University of Chinese Medicine, Nanning 530000, Guangxi, China.ORCID https://orcid.org/0009-0008-2919-0326
Xingqing LingGuangxi University of Chinese Medicine, Nanning 530000, Guangxi, China.ORCID https://orcid.org/0009-0000-7553-892X
Junming YeGuangxi University of Chinese Medicine, Nanning 530000, Guangxi, China.ORCID https://orcid.org/0000-0001-7648-8637
Jiaying WuGuangxi University of Chinese Medicine, Nanning 530000, Guangxi, China.ORCID https://orcid.org/0009-0002-3159-9047
Yu WangDepartment of Geriatrics, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, Guangxi, China.ORCID https://orcid.org/0009-0002-3620-2934
Chun YaoGuangxi University of Chinese Medicine, Nanning 530000, Guangxi, China.ORCID https://orcid.org/0000-0002-7147-9608
Jinghui ZhengRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, Guangxi, China.ORCID https://orcid.org/0000-0001-7243-0147
Guangxi University · CNGuangxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Tumor microenvironment (TME) research can provide a crucial direction for the innovation and continuous improvement of novel biologic therapies for cancer. This study examined the relationship between the TME, expression profiles of the tumor-infiltrating immune cell, and prognostic gene expression in ovarian cancer (OC). Materials and Methods: Screening of CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG was performed using the bioinformatics methods. Results: All six genes were found to participate in immune-related molecular mechanisms and could regulate the expression of tumor-infiltrating cells. A Kaplan-Meier survival analysis results demonstrated a strong association between overall survival and all gene expressions in patients with OC. CIBERSORT analysis results showed that the expression level of all genes was positively correlated with Conclusion: Therefore, in the OC microenvironment, CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG can be potential immunotherapy targets and prognostic markers.

Indexed as

Ovarian NeoplasmsTumor MicroenvironmentComputational BiologyFemaleGene ExpressionHumansPrognosis

Identifiers

PMID37841886
PMCPMC10575750
OpenAlexW4387397084

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.