Evidence map›Paper›PMID 32226771›Full record

ReviewFrontiers in oncology2020

Endometrial Cancer Immune Escape Mechanisms: Let Us Learn From the Fetal-Maternal Interface.

Valentina Bruno, Giacomo Corrado, Denisa Baci, Benito Chiofalo, Maria Antonia Carosi, Livia Ronchetti, Emilio Piccione, Adriana Albini, Douglas M Noonan, Giulia Piaggio and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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  9. Machine learning endometrial cancer risk prediction model: integrating guidelines of European Society for Medical Oncology with the tumor immune framework.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2023
    Article
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  12. Review
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  20. Identification ofJournal of healthcare engineering · 2021
    Article
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

11 authors at 6 institutions in 2 countries.

Valentina BrunoGynecologic Oncology Unit, Department of Experimental Clinical Oncology, IRCCS-Regina Elena National Cancer Institute, Rome, Italy.
Giacomo CorradoGynecologic Oncology Unit, Department of Women and Children Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS-Università Cattolica del Sacro Cuore, Rome, Italy.
Denisa BaciDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Benito ChiofaloGynecologic Oncology Unit, Department of Experimental Clinical Oncology, IRCCS-Regina Elena National Cancer Institute, Rome, Italy.
Maria Antonia CarosiAnatomy Pathology Unit, Department of Research, Diagnosis and Innovative Technologies, IRCCS-Regina Elena National Cancer Institute, Rome, Italy.
Livia RonchettiAnatomy Pathology Unit, Department of Research, Diagnosis and Innovative Technologies, IRCCS-Regina Elena National Cancer Institute, Rome, Italy.
Emilio PiccioneSection of Gynecology, Academic Department of Surgical Sciences, Tor Vergata University Hospital, University of Rome "Tor Vergata", Rome, Italy.
Adriana AlbiniSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Douglas M NoonanDepartment of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
Giulia PiaggioDepartment of Research, Diagnosis and Innovative Technologies, UOSD SAFU, IRCCS-Regina Elena National Cancer Institute, Rome, Italy.
Enrico VizzaGynecologic Oncology Unit, Department of Experimental Clinical Oncology, IRCCS-Regina Elena National Cancer Institute, Rome, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Insubria · ITMultiMedica · ITNational Cancer Institute · MYUniversità Cattolica del Sacro Cuore · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune escape mechanisms at the base of tumor progression in endometrial cancer mimic immune tolerance mechanisms occurring at the maternal-fetal interface. The biological and immunological processes behind the maternal-fetal interface are finely tuned in time and space during embryo implantation and subsequent pregnancy stages; conversely, those behind cancer progression are often aberrant. The environment composition at the maternal-fetal interface parallels the pro-tumor microenvironment identified in many cancers, pointing to the possibility for the use of the maternal-fetal interface as a model to depict immune therapeutic targets in cancer. The framework of cancer environment signatures involved in immune adaptations, precisely timed in cancer progression, could reveal a specific "immune clock" in endometrial cancer, which might guide clinicians in patient risk class assessment, diagnostic workup, management, surgical and therapeutic approach, and surveillance strategies. Here, we review studies approaching this hypothesis, focusing on what is known so far about oncofetal similarities in immunity with the idea to individualize personalized immunotherapy targets, through the downregulation of the immune escape stage or the reactivation of the pro-inflammatory processes suppressed by the tumor.

Indexed as

cancer immune escapefetal–maternal immune toleranceimmunological parallelism in cancer and pregnancyimmunotherapy potential targetspersonalized medicine

Identifiers

PMID32226771
PMCPMC7080858
OpenAlexW3011230827

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.