Evidence map›Paper›PMID 37693209›Full record

ArticlePNAS nexus2023

Mechanism of ozone alleviation of malignant ascites in hepatocellular carcinoma through the inhibition of neutrophil extracellular traps.

Feng Han, Jiayou Guo, Mingchen Mu, Ka Bian, Zhenting Cui, Qiong Duan, Jianxin Ma, Lai Jin, Wentao Liu, Fanghong Chen

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-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

9 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  8. PD-L1Cancer immunology, immunotherapy : CII · 2024
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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

10 authors at 3 institutions in 1 country.

Feng HanDepartment of Radiotherapy, Lianyungang Oriental Hospital Affiliated to Xuzhou Medical University, No.57, West Zhonghua Road, Lianyun District, Lianyungang 222042, Jiangsu Province, China.ORCID https://orcid.org/0000-0003-3339-0095
Jiayou GuoDepartment of Radiotherapy, Lianyungang Oriental Hospital Affiliated to Xuzhou Medical University, No.57, West Zhonghua Road, Lianyun District, Lianyungang 222042, Jiangsu Province, China.
Mingchen MuDepartment of Radiotherapy, Lianyungang Oriental Hospital Affiliated to Xuzhou Medical University, No.57, West Zhonghua Road, Lianyun District, Lianyungang 222042, Jiangsu Province, China.ORCID https://orcid.org/0009-0007-8192-6495
Ka BianDepartment of Infectious Diseases, Lianyungang Oriental Hospital Affiliated to Xuzhou Medical University, No.57, West Zhonghua Road, Lianyun District, Lianyungang 222042, Jiangsu Province, China.ORCID https://orcid.org/0009-0001-5119-7806
Zhenting CuiDepartment of Radiotherapy, Bengbu Medical College, 2600 Donghai Avenue, Longzihu District, Bengbu 233030, Anhui Province, China.ORCID https://orcid.org/0009-0000-5685-9947
Qiong DuanDepartment of Radiotherapy, Lianyungang Oriental Hospital Affiliated to Xuzhou Medical University, No.57, West Zhonghua Road, Lianyun District, Lianyungang 222042, Jiangsu Province, China.ORCID https://orcid.org/0009-0004-6596-8589
Jianxin MaDepartment of Radiotherapy, Lianyungang Oriental Hospital Affiliated to Xuzhou Medical University, No.57, West Zhonghua Road, Lianyun District, Lianyungang 222042, Jiangsu Province, China.ORCID https://orcid.org/0009-0005-4535-9417
Lai JinInstitute of Translational Medicine, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing 211166, Jiangsu Province, China.
Wentao LiuInstitute of Translational Medicine, Nanjing Medical University, No.101 Longmian Avenue, Jiangning District, Nanjing 211166, Jiangsu Province, China.
Fanghong ChenDepartment of Center for Clinical Research and Translational Medical, Lianyungang Oriental Hospital Affiliated to Xuzhou Medical University, No.57, West Zhonghua Road, Lianyun District, Lianyungang 222042, Jiangsu Province, China.
Xuzhou Medical College · CNNanjing Medical University · CNBengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant ascites in hepatocellular carcinoma is usually a sign of advanced disease and poor prognosis and is also thought to be associated with chronic inflammation mediated by neutrophil extracellular trap (NET) networks. Although ozone, a strong oxidant, has significant antibacterial and anti-inflammatory effects, its effectiveness in treating malignant liver ascites is unclear. We first measured the levels of NETs in the peripheral blood of patients with liver cancer and healthy individuals. Next, we constructed the H22 tumor-bearing mouse model and observed the abdominal girth, body weight, survival rate, and survival time in each group; we marked the proteins associated with NETs in mouse intestinal tissues by immunofluorescence; cf-DNA and cytokines in ascites such as: tumor necrosis factor alpha (TNF-α), vascular endothelial growth factor (VEGF), interleukin 6 (IL-6), matrix metalloprotein 9 (MMP-9), and interferon gamma (IFN-γ) levels in ascites were measured by enzyme-linked immunosorbent assay. The expression levels of phosphorylated adenylate-activated protein kinase (P-AMPK) and scavenger receptor-A (SR-A) were detected by immunocytochemistry in the intestinal tissues of each group of mice. We further examined the expression of P-AMPK and SR-A proteins in ascites deposits by Western blotting. The results show, the plasma levels of NETs were higher in patients with hepatocellular carcinoma than in normal subjects (

Indexed as

hepatocellular carcinoma ascitesneutrophil extracellular trap networkozone

Identifiers

PMID37693209
PMCPMC10485884
OpenAlexW4386122282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.