Evidence map›Paper›PMID 33436485›Full record

ArticleJournal for immunotherapy of cancer2021

Transcriptional analysis of multiple ovarian cancer cohorts reveals prognostic and immunomodulatory consequences of ERV expression.

Marina Natoli, John Gallon, Haonan Lu, Ala Amgheib, David J Pinato, Francesco A Mauri, Teresa Marafioti, Ayse U Akarca, Ines Ullmo, Jacey Ip and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

24 citing papers in PubMed, 32 citations in OpenAlex.

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  13. The role of HERV envelope protein in ovarian cancer.Frontiers in cell and developmental biology · 2025
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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

14 authors at 4 institutions in 2 countries.

Marina NatoliDepartment of Surgery and Cancer, Imperial College London, London, UK.ORCID 0000-0002-0270-0225
John GallonDepartment of Surgery and Cancer, Imperial College London, London, UK.ORCID 0000-0002-5328-6298
Haonan LuDepartment of Surgery and Cancer, Imperial College London, London, UK.
Ala AmgheibDepartment of Surgery and Cancer, Imperial College London, London, UK.
David J PinatoDepartment of Surgery and Cancer, Imperial College London, London, UK.ORCID 0000-0002-3529-0103
Francesco A MauriDepartment of Surgery and Cancer, Imperial College London, London, UK.
Teresa MarafiotiDepartment of Pathology, University College London Cancer Institute, London, UK.
Ayse U AkarcaDepartment of Pathology, University College London Cancer Institute, London, UK.
Ines UllmoDepartment of Surgery and Cancer, Imperial College London, London, UK.
Jacey IpDepartment of Surgery and Cancer, Imperial College London, London, UK.
Eric O AboagyeDepartment of Surgery and Cancer, Imperial College London, London, UK.
Robert BrownDepartment of Surgery and Cancer, Imperial College London, London, UK.ORCID 0000-0001-7960-5755
Anastasios KaradimitrisDepartment of Immunology and Inflammation, Imperial College London, London, UK.
Sadaf Ghaem-MaghamiDepartment of Surgery and Cancer, Imperial College London, London, UK s.ghaem-maghami@imperial.ac.uk.ORCID 0000-0002-7369-5080
Imperial College London · GBLondon Cancer · GBUniversity Hospital of Basel · CHInstitute of Cancer Research · GB

Funding

Medical Research Council MC_PC_13064Wellcome Trust
6 · The paper itself

Abstract

backgroundEndogenous retroviruses (ERVs) play a role in a variety of biological processes, including embryogenesis and cancer. DNA methyltransferase inhibitors (DNMTi)-induced ERV expression triggers interferon responses in ovarian cancer cells via the viral sensing machinery. Baseline expression of ERVs also occurs in cancer cells, though this process is poorly understood and previously unexplored in epithelial ovarian cancer (EOC). Here, the prognostic and immunomodulatory consequences of baseline ERV expression was assessed in EOC.

methodsERV expression was assessed using EOC transcriptional data from The Cancer Genome Atlas (TCGA) and from an independent cohort (Hammersmith Hospital, HH), as well as from untreated or DNMTi-treated EOC cell lines. Least absolute shrinkage and selection operator (LASSO) logistic regression defined an ERV expression score to predict patient prognosis. Immunohistochemistry (IHC) was conducted on the HH cohort. Combination of DNMTi treatment with γδ T cells was tested

resultsERV expression was found to define clinically relevant subsets of EOC patients. An ERV prognostic score was successfully generated in TCGA and validated in the independent cohort. In EOC patients from this cohort, a high ERV score was associated with better survival (log-rank p=0.0009) and correlated with infiltration of CD8+PD1+T cells (r=0.46, p=0.0001). In the TCGA dataset, a higher ERV score was found in BRCA1/2 mutant tumors, compared to wild type (p=0.015), while a lower ERV score was found in CCNE1 amplified tumors, compared to wild type (p=0.019).

conclusionsThese findings uncover the potential for baseline ERV expression to robustly inform EOC patient prognosis, influence tumor immune infiltration and affect antitumor immunity.

Indexed as

Endogenous RetrovirusesBRCA1 ProteinBRCA2 ProteinCarcinoma, Ovarian EpithelialCell Line, TumorCyclin EDecitabineFemaleGene AmplificationGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansIntraepithelial LymphocytesMutationOncogene ProteinsBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanCCNE1 protein, humanCyclin EDecitabineOncogene Proteinsbiomarkerscomputational biologyinterferon inducerstumor

Identifiers

PMID33436485
PMCPMC7805370
OpenAlexW3118967341

What OpenQuestion holds

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LicenceCC BY
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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.