Evidence map›Paper›PMID 35218560›Full record

ArticleInternational journal of cancer2022

Integrated molecular profiling of patient-derived ovarian cancer models identifies clinically relevant signatures and tumor vulnerabilities.

Michela Lupia, Valentina Melocchi, Francesca Bizzaro, Pietro Lo Riso, Elisa Dama, Micol Baronio, Alberto Ranghiero, Massimo Barberis, Loris Bernard, Giovanni Bertalot and 4 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 13 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

14 authors at 4 institutions in 1 country.

Michela LupiaUnit of Gynaecological Oncology Research, European Institute of Oncology IRCCS, Milan, Italy.
Valentina MelocchiUnit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Francesca BizzaroLaboratory of Tumor Metastasis Therapeutics, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy.
Pietro Lo RisoDepartment of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy.
Elisa DamaUnit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Micol BaronioUnit of Gynaecological Oncology Research, European Institute of Oncology IRCCS, Milan, Italy.
Alberto RanghieroPathology Unit, European Institute of Oncology IRCCS, Milan, Italy.
Massimo BarberisPathology Unit, European Institute of Oncology IRCCS, Milan, Italy.ORCID 0000-0002-0943-4804
Loris BernardClinical Genomics Lab, European Institute of Oncology IRCCS, Milan, Italy.
Giovanni BertalotDepartment of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy.
Raffaella GiavazziLaboratory of Tumor Metastasis Therapeutics, Istituto di Ricerche Farmacologiche Mario Negri-IRCCS, Milan, Italy.ORCID 0000-0001-5249-8208
Giuseppe TestaDepartment of Experimental Oncology, European Institute of Oncology IRCCS, Milan, Italy.ORCID 0000-0002-9104-0918
Fabrizio BianchiUnit of Cancer Biomarkers, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
Ugo CavallaroUnit of Gynaecological Oncology Research, European Institute of Oncology IRCCS, Milan, Italy.ORCID 0000-0002-0884-6460
European Institute of Oncology · ITCasa Sollievo della Sofferenza · ITMario Negri Institute for Pharmacological Research · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian carcinoma (HGSOC) is a highly aggressive and intractable neoplasm, mainly because of its rapid dissemination into the abdominal cavity, a process that is favored by tumor-associated peritoneal ascites. The precise molecular alterations involved in HGSOC onset and progression remain largely unknown due to the high biological and genetic heterogeneity of this tumor. We established a set of different tumor samples (termed the As11-set) derived from a single HGSOC patient, consisting of peritoneal ascites, primary tumor cells, ovarian cancer stem cells (OCSC) and serially propagated tumor xenografts. The As11-set was subjected to an integrated RNA-seq and DNA-seq analysis which unveiled molecular alterations that marked the different types of samples. Our profiling strategy yielded a panel of signatures relevant in HGSOC and in OCSC biology. When such signatures were used to interrogate the TCGA dataset from HGSOC patients, they exhibited prognostic and predictive power. The molecular alterations also identified potential vulnerabilities associated with OCSC, which were then tested functionally in stemness-related assays. As a proof of concept, we defined PI3K signaling as a novel druggable target in OCSC.

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsAscitesCarcinoma, Ovarian EpithelialFemaleHumansPhosphatidylinositol 3-KinasesPrognosisascitescancer stem cellsgenomicsovarian cancerprognosisxenograft

Identifiers

PMID35218560
PMCPMC9310611
OpenAlexW4214660669

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.