Evidence map›Paper›PMID 42362198›Full record

ArticleIET systems biology

Identification of Chemokine-Related Genes Derived From T and NK Cells in the Tumour Microenvironment of Ovarian Cancer Based on scRNA-Seq.

Liang Wang, Guifen Liu, Liying Wang, Yisen Cao, JiaYi Jiang, Qunhui Wang, Xite Lin, Zhenhong Wang

Abstract read
In one paragraph

Article in IET systems biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liang WangLaboratory of Gynecologic Oncology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0003-0263-4309
Guifen LiuLaboratory of Gynecologic Oncology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
Liying WangLaboratory of Gynecologic Oncology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
Yisen CaoLaboratory of Gynecologic Oncology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
JiaYi JiangFujian Medical University Union Hospital, Fujian Medical University, Fuzhou, Fujian, China.
Qunhui WangDivision of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xite LinLaboratory of Gynecologic Oncology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
Zhenhong WangLaboratory of Gynecologic Oncology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.

Funding

Fujian Medical University Training Program of Innovation and Entrepreneurship for Undergraduates C2025072Fujian Provincial Health Technology Project 2021QNA048Fujian Provincial Natural Science Foundation 2022J011027Fujian Provincial Natural Science Foundation 2025J01201National Natural Science Foundation of China 82303734Science and Technology Innovation Joint Fund Project of Fujian Provincial Health Commission 2024Y9535
6 · The paper itself

Abstract

Ovarian cancer (OC) is characterised by high malignancy. Tumour immune microenvironment (TME) may serve as a breakthrough for therapy. Chemokines are responsible for the recruitment of diverse immune cells in TME. We identify the association between chemokines and T and NK cells. This study was conducted to screen the chemokine derived from T and NK cells in OC single-cell RNA sequencing (scRNA-seq) dataset was acquired from the GEO database. Total 64 genes were collected. The intersection of marker genes of T and NK cells and chemokine-related genes was considered as key chemokine-related genes. Then, cell-cell communication analysis, pseudotime analysis and transcription factors (TFs)-target genes regulatory network construction, were performed. Immunohistochemical staining experiments and wound healing assays are performed. The results found 21 distinct cell subgroups and 8 core cell types. Total 667 and 611 marker genes were identified in T and NK cells, respectively. Eight key chemokine-related genes were found. Also, 49 TFs-related to cell subtypes were obtained, and the TFs with the highest activation degree was SPI1. Eight key chemokine-related genes were mainly distributed in T cells, NK cells and monocyte cells. The pseudotime trajectory shown that key chemokine-related genes were highly expressed in T and NK cells in the later stage of differentiation. CCL5 exhibits differences in ovarian malignant tumour tissues compared with normal ovarian tissues. These findings provide novel insights for subsequent exploration in OC.

Indexed as

ChemokinesKiller Cells, NaturalOvarian NeoplasmsRNA-SeqT-LymphocytesTumor MicroenvironmentFemaleGene Expression Regulation, NeoplasticHumansSingle-Cell Gene Expression AnalysisChemokinesbioinformaticscancernetwork analysis

Identifiers

PMID42362198
PMCPMC13309255

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.