Evidence map›Paper›PMID 36553542›Full record

ArticleGenes2022

Single-Cell Sequencing of Malignant Ascites Reveals Transcriptomic Remodeling of the Tumor Microenvironment during the Progression of Epithelial Ovarian Cancer.

Yiqun Li, Wenjie Wang, Danyun Wang, Liuchao Zhang, Xizhi Wang, Jia He, Lei Cao, Kang Li, Hongyu Xie

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Yiqun LiSchool of Life Sciences and Technology, Harbin Institute of Technology, Harbin 150000, China.
Wenjie WangDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin 150000, China.
Danyun WangDepartment of Gynecology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 360000, China.
Liuchao ZhangDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin 150000, China.
Xizhi WangDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin 150000, China.
Jia HeDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin 150000, China.
Lei CaoDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin 150000, China.
Kang LiDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin 150000, China.
Hongyu XieClinical Research Center, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 360000, China.ORCID 0000-0002-5752-9066
Harbin Medical University · CNWomen's Hospital, School of Medicine, Zhejiang University · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is the main cause of mortality among gynecological malignancies worldwide. Although patients with EOC undergo aggregate treatment, the prognosis is often poor. Peritoneal malignant ascites is a distinguishable clinical feature in EOC patients and plays a pivotal role in tumor progression and recurrence. The mechanisms of the tumor microenvironment (TME) in ascites in the regulation of tumor progression need to be explored. We comprehensively analyzed the transcriptomes of 4680 single cells from five EOC patients (three diagnostic samples and two recurrent samples) derived from Gene Expression Omnibus (GEO) databases. Batch effects between different samples were removed using an unsupervised deep embedding single-cell cluster algorithm. Subcluster analysis identified the different phenotypes of cells. The transition of a malignant cell state was confirmed using pseudotime analysis. The landscape of TME in malignant ascites was profiled during EOC progression. The transformation of epithelial cancer cells into mesenchymal cells was observed to lead to the emergence of related anti-chemotherapy and immune escape phenotypes. We found the activation of multiple biological pathways with the transition of tumor-associated macrophages and fibroblasts, and we identified the infiltration of CD4

Indexed as

Neoplasms, Glandular and EpithelialOvarian NeoplasmsAscitesCarcinoma, Ovarian EpithelialFemaleHumansTranscriptomeTumor Microenvironmentepithelial ovarian cancermalignant ascitessingle-cell sequencingtargeted therapytumor microenvironment

Identifiers

PMID36553542
PMCPMC9778425
OpenAlexW4311518508

What OpenQuestion holds

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Registered trials

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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.