Evidence map›Paper›PMID 37345150›Full record

ArticleCancers2023

Genomic and Transcriptomic Analyses of Malignant Pleural Mesothelioma (MPM) Samples Reveal Crucial Insights for Preclinical Testing.

Alexander Laure, Angelica Rigutto, Michaela B Kirschner, Lennart Opitz, Linda Grob, Isabelle Opitz, Emanuela Felley-Bosco, Stefanie Hiltbrunner, Alessandra Curioni-Fontecedro

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. 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
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

9 authors at 4 institutions in 2 countries.

Alexander LaureFaculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.ORCID 0000-0002-4689-456X
Angelica RiguttoFaculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.
Michaela B KirschnerDepartment of Thoracic Surgery, University Hospital Zurich, CH-8091 Zurich, Switzerland.ORCID 0000-0001-7444-9829
Lennart OpitzFunctional Genomics Center Zurich, Swiss Federal Institute of Technology, University of Zurich, CH-8057 Zurich, Switzerland.
Linda GrobNEXUS Personalized Health Technologies, ETH Zurich, CH-8092 Zurich, Switzerland.
Isabelle OpitzFaculty of Science, University of Zurich, CH-8006 Zurich, Switzerland.ORCID 0000-0001-5900-9040
Emanuela Felley-BoscoFaculty of Science, University of Zurich, CH-8006 Zurich, Switzerland.ORCID 0000-0002-3408-0294
Stefanie HiltbrunnerFaculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.
Alessandra Curioni-FontecedroFaculty of Science and Medicine, University of Fribourg, CH-1700 Fribourg, Switzerland.
University of Fribourg · CHUniversity of Zurich · CHSIB Swiss Institute of Bioinformatics · CHUniversity Hospital of Zurich · CH

Funding

Stiftung für angewandte Krebsforschung (SAKF) UFR20070801Stiftung für wissenschaftliche Forschung an der UZH/Erbschaft Bühler UZH STEB-22, -001Swiss Cancer League KLS-4538-08-2018
6 · The paper itself

Abstract

Cell lines are extensively used to study cancer biology. However, the use of highly passaged commercial cell lines has to be questioned, as they do not closely resemble the originating tumor. To understand the reliability of preclinical models for Malignant pleural mesothelioma (MPM) studies, we have performed whole transcriptome and whole exome analyses of fresh frozen MPM tumors and compared them to cell lines generated from these tumors, as well as commercial cell lines and a preclinical MPM mouse model. Patient-derived cell lines were generated from digested fresh tumors and whole exome sequencing was performed on DNA isolated from formalin-fixed, paraffin-embedded (FFPE) tumor samples, corresponding patient-derived cell lines, and normal tissue. RNA sequencing libraries were prepared from 10 fresh frozen tumor samples, the 10 corresponding patient-derived cell lines, and 7 commercial cell lines. Our results identified alterations in tumor suppressor genes such as

Indexed as

genomic analysismalignant pleural mesotheliomapatient-derived cell linespreclinical modelstranscriptomic analysis

Identifiers

PMID37345150
PMCPMC10216513
OpenAlexW4377104597

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.