Evidence map›Paper›PMID 39358478›Full record

ArticleCancer immunology, immunotherapy : CII2024

PD-L1

Xiaoyu Sun, Yaoqi Gui, Tai Yang, Lingbing Chen, Yi Zhang, Ling Yan, Weixian Chen, Bo Wang

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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

8 authors.

Xiaoyu SunDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Yaoqi GuiDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Tai YangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Lingbing ChenDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Yi ZhangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Ling YanDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Weixian ChenDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Bo WangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China. wang_bo@cqmu.edu.cn.

Funding

Kuanren Talents Program of the second affiliated hospital of Chongqing Medical University 202417-45National Natural Science Foundation of China 82302011Natural Science Foundation of Chongqing Municipality No. cstc2018jcyjAX0745
6 · The paper itself

Abstract

backgroundSince differentiating malignant ascites from benign ascites has always been a clinical difficult, recognition of novel biomarkers in malignant ascites of hepatocellular carcinoma (HCC) patients could be helpful for establishing a diagnosis for HCC patients with ascitic fluids.

methodsThirty-five HCC patients with malignant ascites and chronic liver diseases patients with benign ascites were enrolled. Serum and ascites specimens were collected to determine TAN subpopulations and NETs concentration. Then, the correlation between ascitic NETs levels and clinical features were analyzed, and ROC curves were generated to evaluate the diagnostic value of NETs. For in vitro study, fresh neutrophils were employed to explore the underlying mechanism of TAN polarization and NETs formation using RNAseq analysis.

resultsSignificantly increased pro-tumor PD-L1

conclusionsOur findings highlighted that elevated ascitic NETs served as a biomarker in HCC patients with malignant ascites, which provided useful insights for both clinical and basic research for malignant ascites diagnosis and management.

Indexed as

AscitesB7-H1 AntigenBiomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsNeutrophilsAgedExtracellular TrapsFemaleHumansMaleMiddle AgedB7-H1 AntigenBiomarkers, TumorCD274 protein, humanBiomarkerMalignant ascitesNeutrophil extracellular trapsPD-L1

Identifiers

PMID39358478
PMCPMC11447185

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.