Evidence map›Paper›PMID 40212232›Full record

ArticleSmall science2024

Imaging and Therapy of Tumors Based on Neutrophil Extracellular Traps.

Yongwei Hao, Dalin Liu, Kaiyuan Wang, Qian Liu, Hongli Chen, Shenglu Ji, Dan Ding

Abstract read
In one paragraph

Article in Small science, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

7 authors.

Yongwei HaoSchool of Life Sciences and Technology Xinxiang Medical University 601 Jinsui Avenue Xinxiang 453003 China.
Dalin LiuSchool of Life Sciences and Technology Xinxiang Medical University 601 Jinsui Avenue Xinxiang 453003 China.
Kaiyuan WangSchool of Life Sciences and Technology Xinxiang Medical University 601 Jinsui Avenue Xinxiang 453003 China.
Qian LiuDepartment of Urology Tianjin First Central Hospital Tianjin 300192 China.
Hongli ChenSchool of Life Sciences and Technology Xinxiang Medical University 601 Jinsui Avenue Xinxiang 453003 China.
Shenglu JiSchool of Life Sciences and Technology Xinxiang Medical University 601 Jinsui Avenue Xinxiang 453003 China.
Dan DingFrontiers Science Center for Cell Responses State Key Laboratory of Medicinal Chemical Biology Key Laboratory of Bioactive Materials Ministry of Education College of Life Sciences Nankai University Tianjin 300071 China.ORCID https://orcid.org/0000-0003-1873-6510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs) formed by neutrophils are netlike scaffolds that mainly contain DNA and a variety of granule proteins. Many stimuli can lead to the NET formation through independent molecular pathways. Clinically, the abundance of NETs is correlated with poor tumor prognosis. The biological actions of NETs are complex and diverse, including promoting tumor progression, awakening the dormant cancer cells, and resulting in immunosuppression in support of tumor growth and metastasis. Therefore, NET-associated pathological processes provide an important clue for both diagnostic imaging and alternative therapies for many kinds of cancers. In recent years, scientists' efforts have focused on developing novel imaging probes to visualize NETs and therapeutic strategies by degrading NETs or inhibiting its formation to block their pro-tumoral functions. In this review, the development and evaluation of NETs-targeted imaging and intervention progress for tumor therapy are focused on.

Indexed as

cancer therapiesDNase‐1fluorescent probesnanomaterialsneutrophil extracellular traps

Identifiers

PMID40212232
PMCPMC11935012

What Socratic 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 Socratic graph.