Evidence map›Paper›PMID 39634630›Full record

ArticleMolecular therapy. Oncology2024

Molecular and functional profiling of primary normal ovarian cells defines insights into cancer development and drug responses.

Emilia Piki, Alice Dini, Frida Rantanen, Franziska Bentz, Lassi Paavolainen, Harlan Barker, Juuli Raivola, Akira Hirasawa, Olli Kallioniemi, Astrid Murumägi and 1 more

Abstract read
In one paragraph

Article in Molecular therapy. Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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.

Emilia PikiDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland.
Alice DiniDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland.
Frida RantanenDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland.
Franziska BentzInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00014 Helsinki, Finland.
Lassi PaavolainenInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00014 Helsinki, Finland.
Harlan BarkerDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland.
Juuli RaivolaApplied Tumor Genomics, Research Program Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
Akira HirasawaDepartment of Clinical Genomic Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Olli KallioniemiInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00014 Helsinki, Finland.
Astrid MurumägiInstitute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00014 Helsinki, Finland.
Daniela UngureanuDisease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with ovarian cancer, especially the high-grade serous ovarian cancer (HGSOC) subtype, face poor prognosis due to late diagnosis and treatment resistance. Owing to the high heterogeneity of HGSOC, identifying the origin of the disease and optimal treatments is difficult. Here, we characterized two primary immortalized human ovarian cell lines, human ovarian surface epithelium (HOSE)1C and HOSE2C, comparing their molecular profiling with representative HGSOC cells. We identified molecular features associated with normal and malignant phenotype of ovarian cells by applying single-cell transcriptomics, high-content image-based cell painting, and high-throughput drug testing. Our findings reveal distinct transcriptomic and morphological profiles for the two HOSEs, with a stromal phenotype. Moreover, their responses to the tumor microenvironment differ, exemplified by

Indexed as

cell paintingdrug testingDSRTGREM1high-grade serous ovarian cancerHOSEMT: Regular IssueovarianscRNA-seqSTAT1stroma

Identifiers

PMID39634630
PMCPMC11616607

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.