Evidence map›Paper›PMID 31284453›Full record

ReviewInternational journal of molecular sciences2019

The Formation and Therapeutic Update of Tumor-Associated Macrophages in Cervical Cancer.

Qun Wang, Alexander Steger, Sven Mahner, Udo Jeschke, Helene Heidegger

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Clinicopathologic and prognostic significance of tumor-associated macrophages in cervical cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
  2. mBio · 2026
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  12. Overexpression of SOCS2 Inhibits EMT and M2 Macrophage Polarization in Cervical CancerCombinatorial chemistry & high throughput screening · 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

5 authors.

Qun WangDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, 80337 Munich, Germany.
Alexander StegerKlinik für Innere Medizin I, Technische Universität München, 80333 Munich, Germany.
Sven MahnerDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, 80337 Munich, Germany.
Udo JeschkeDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, 80337 Munich, Germany. udo.jeschke@med.uni-muenchen.de.ORCID 0000-0003-2623-3235
Helene HeideggerDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, 80337 Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both clinicopathological and experimental studies have suggested that tumor-associated macrophages (TAMs) play a key role in cervical cancer progression and are associated with poor prognosis in the respects of tumor cell proliferation, invasion, angiogenesis, and immunosuppression. Therefore, having a clear understanding of TAMs is essential in treating this disease. In this review, we will discuss the origins and categories of macrophages, the molecules responsible for forming and reeducating TAMs in cervical cancer (CC), the biomarkers of macrophages and the therapy development targeting TAMs in CC research.

Indexed as

Biomarkers, TumorFemaleHumansMacrophagesModels, BiologicalUterine Cervical NeoplasmsBiomarkers, Tumoranaerobic microenvironmentbiomarkercervical cancerseminal plasmaT celltumor-associated macrophages

Identifiers

PMID31284453
PMCPMC6651300

What OpenQuestion holds

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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.