Evidence map›Paper›PMID 33121525›Full record

ArticleGenome medicine2020

A cell-of-origin epigenetic tracer reveals clinically distinct subtypes of high-grade serous ovarian cancer.

Pietro Lo Riso, Carlo Emanuele Villa, Gilles Gasparoni, Andrea Vingiani, Raffaele Luongo, Anna Manfredi, Annemarie Jungmann, Alessia Bertolotti, Francesca Borgo, Annalisa Garbi and 12 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

22 authors at 5 institutions in 3 countries.

Pietro Lo RisoDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Carlo Emanuele VillaDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Gilles GasparoniDepartment of Genetics, University of Saarland, Saarbrücken, Germany.
Andrea VingianiDepartment of Pathology, Biobank for Translational Medicine Unit, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Raffaele LuongoDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Anna ManfrediTelethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy.
Annemarie JungmannDepartment of Genetics, University of Saarland, Saarbrücken, Germany.
Alessia BertolottiPresent affiliation: Department of Pathology, Fondazione IRCSS Istituto Nazionale Tumori, Milan, Italy.
Francesca BorgoDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Annalisa GarbiDivision of Gynecologic Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Michela LupiaUnit of Gynecological Oncology Research, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Pasquale LaiseDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Vivek DasDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Giancarlo PruneriDepartment of Pathology, Biobank for Translational Medicine Unit, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Giuseppe VialeDepartment of Pathology, Biobank for Translational Medicine Unit, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Nicoletta ColomboDivision of Gynecologic Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Teresa ManzoDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Luigi NeziDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Ugo CavallaroUnit of Gynecological Oncology Research, IEO, European Institute of Oncology IRCSS, Milan, Italy.
Davide CacchiarelliTelethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy.
Jörn WalterDepartment of Genetics, University of Saarland, Saarbrücken, Germany.
Giuseppe TestaDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCSS, Milan, Italy. giuseppe.testa@ieo.it.
European Institute of Oncology · ITSaarland University · DEFondazione IRCCS Istituto Nazionale dei Tumori · ITTelethon Institute Of Genetics And Medicine · ITUniversity of Milan · IT

Funding

European Research Council 759154
6 · The paper itself

Abstract

backgroundHigh-grade serous ovarian cancer (HGSOC) is a major unmet need in oncology. The remaining uncertainty on its originating tissue has hampered the discovery of molecular oncogenic pathways and the development of effective therapies.

methodsWe used an approach based on the retention in tumors of a DNA methylation trace (OriPrint) that distinguishes the two putative tissues of origin of HGSOC, the fimbrial (FI) and ovarian surface epithelia (OSE), to stratify HGSOC by several clustering methods, both linear and non-linear. The identified tumor subtypes (FI-like and OSE-like HGSOC) were investigated at the RNAseq level to stratify an in-house cohort of macrodissected HGSOC FFPE samples to derive overall and disease-free survival and identify specific transcriptional alterations of the two tumor subtypes, both by classical differential expression and weighted correlation network analysis. We translated our strategy to published datasets and verified the co-occurrence of previously described molecular classification of HGSOC. We performed cytokine analysis coupled to immune phenotyping to verify alterations in the immune compartment associated with HGSOC. We identified genes that are both differentially expressed and methylated in the two tumor subtypes, concentrating on PAX8 as a bona fide marker of FI-like HGSOC.

resultsWe show that: - OriPrint is a robust DNA methylation tracer that exposes the tissue of origin of HGSOC. - The tissue of origin of HGSOC is the main determinant of DNA methylation variance in HGSOC. - The tissue of origin is a prognostic factor for HGSOC patients. - FI-like and OSE-like HGSOC are endowed with specific transcriptional alterations that impact patients' prognosis. - OSE-like tumors present a more invasive and immunomodulatory phenotype, compatible with its worse prognostic impact. - Among genes that are differentially expressed and regulated in FI-like and OSE-like HGSOC, PAX8 is a bona fide marker of FI-like tumors.

conclusionsThrough an integrated approach, our work demonstrates that both FI and OSE are possible origins for human HGSOC, whose derived subtypes are both molecularly and clinically distinct. These results will help define a new roadmap towards rational, subtype-specific therapeutic inroads and improved patients' care.

Indexed as

Epigenesis, GeneticCystadenocarcinoma, SerousDNA MethylationFemaleGene Expression ProfilingHumansImmunomodulationNeoplasm GradingOvarian NeoplasmsPhenotypePrognosisRetrospective StudiesTranscriptome

Identifiers

PMID33121525
PMCPMC7597028
OpenAlexW3097481863

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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.