Evidence map›Paper›PMID 39352425›Full record

ArticleMedical oncology (Northwood, London, England)2024

Unraveling the role of EPHA2 in regulating migration and immunomodulation processes in cervical cancer: exploring the synergic effect of 17β-estradiol on cancer progression.

P P Mubthasima, Anbarasu Kannan

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Article in Medical oncology (Northwood, London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

P P MubthasimaCancer and Exosome Biology Laboratory, Department of Biochemistry, CSIR- Central Food Technological Research Institute, Mysuru, 570020, India.
Anbarasu KannanCancer and Exosome Biology Laboratory, Department of Biochemistry, CSIR- Central Food Technological Research Institute, Mysuru, 570020, India. anbarasu@cftri.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer remained among the most prevalent cancers in women. Erythropoietin-producing hepatocellular A2 (EPHA2) is overexpressed in many cancers, including cervical cancer, and the mechanism by which it regulates cervical cancer progression is not yet fully understood. Exosomes are extracellular vesicles that carry information in the form of biomolecules, deliver it to the recipient cell, and play a vital role in cellular communication. 17β-Estradiol is the natural female steroid hormone with the greatest estrogenic activity, and it induces cell death in cancer. In this study, we investigated the function of EPHA2 in cervical cancer migration and immunomodulation and the presence of EPHA2 in the cervical cancer serum-derived exosome. A knockdown of EPHA2 (KD-EPHA2) in cervical cancer reduces cancer cell migration by regulating the CD113/Ezrin pathway. Furthermore, EPHA2 exhibited significant involvement in immunomodulation by orchestrating IL-6-mediated signalling cascades, including the AKT-mTOR and JAK-STAT pathways. Immune infiltration analysis revealed a correlation between EPHA2 expression in cervical cancer and the infiltration of various immune cell populations. KD-EPHA2 enhances the 17β-Estradiol inhibitory effect on cell proliferation and migration during cancer progression. In summary, our study revealed that EPHA2 is overexpressed in cervical cancer and plays a vital role in cancer cell migration and immunomodulation, and 17β-Estradiol, along with KD-EPHA2, enhances the inhibitory effect on cancer cell migration and proliferation.

Indexed as

Cell MovementDisease ProgressionEstradiolImmunomodulationReceptor, EphA2Uterine Cervical NeoplasmsCell Line, TumorCell ProliferationExosomesFemaleHumansSignal TransductionEPHA2 protein, humanEstradiolReceptor, EphA217β-EstradiolEPHA2ExosomeImmune infiltrationImmunomodulation

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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 Socratic graph.