Evidence map›Paper›PMID 41180630›Full record

ReviewAnnals of medicine and surgery (2012)2025

From inflammation to invasion: neutrophils in cervical cancer pathogenesis.

Emmanuel Ifeanyi Obeagu

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

1 author.

Emmanuel Ifeanyi ObeaguDepartment of Biomedical and Laboratory Science, Africa University, Mutare, Zimbabwe.ORCID https://orcid.org/0000-0002-4538-0161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer, predominantly caused by high-risk human papillomavirus (HPV) infections, continues to be a major health challenge globally. Recent research has highlighted the significant role of neutrophils, a type of white blood cell integral to the immune system, in the pathogenesis of cervical cancer. This review examines the dualistic role of neutrophils in cervical cancer, emphasizing their contribution to both inflammation and tumor progression. Understanding the intricate relationship between neutrophils and cervical cancer could unveil new therapeutic targets for better disease management. Neutrophils are key mediators of the immune response and inflammation. In the context of cervical cancer, these cells are recruited to the tumor microenvironment where they can adopt tumor-promoting phenotypes. Tumor-associated neutrophils (TANs) facilitate various processes that aid tumor growth and metastasis, such as producing reactive oxygen species (ROS) and proteases that induce DNA damage, releasing cytokines and chemokines that promote angiogenesis, and forming neutrophil extracellular traps (NETs) that enhance metastatic potential. Furthermore, TANs contribute to immune suppression by inhibiting the activity of cytotoxic T lymphocytes and natural killer cells, allowing cancer cells to evade immune surveillance. Given their pivotal role in cervical cancer progression, neutrophils represent a promising target for novel therapeutic strategies. Approaches such as inhibiting neutrophil recruitment to the tumor site, blocking NET formation, and modulating TAN phenotypes from pro-tumor to anti-tumor are being explored. These strategies aim to disrupt the supportive role of neutrophils in tumor development and progression, potentially leading to improved outcomes for patients with cervical cancer.

Indexed as

cervical cancerinflammationmetastasisneutrophilstumor microenvironment

Identifiers

PMID41180630
PMCPMC12577824

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.