Evidence map›Paper›PMID 31748560›Full record

SynthesisScientific reports2019

Prospective validation in epithelial tumors of a gene expression predictor of liver metastasis derived from uveal melanoma.

Petros Tsantoulis, Mauro Delorenzi, Ivan Bièche, Sophie Vacher, Pascale Mariani, Nathalie Cassoux, Alexandre Houy, Marc-Henri Stern, Sergio Roman-Roman, Pierre-Yves Dietrich and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Alterations in the CaExploration of targeted anti-tumor therapy · 2021
    Article
  3. 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

12 authors at 6 institutions in 2 countries.

Petros TsantoulisHôpitaux Universitaires de Genève, Service d'Oncologie, Geneva, Switzerland. petros.tsantoulis@hcuge.ch.ORCID http://orcid.org/0000-0003-3613-6682
Mauro DelorenziSIB Swiss Institute of Bioinformatics, Bioinformatics Core Facility, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-7631-3263
Ivan BiècheInstitut Curie, Département de génétique, Paris, France.
Sophie VacherInstitut Curie, Département de génétique, Paris, France.
Pascale MarianiInstitut Curie, Département de chirurgie, Paris, France.
Nathalie CassouxInstitut Curie, Département de chirurgie, Paris, France.
Alexandre HouyInstitut Curie, Département de génétique, Paris, France.ORCID http://orcid.org/0000-0001-6267-2353
Marc-Henri SternInstitut Curie, Département de génétique, Paris, France.ORCID http://orcid.org/0000-0002-8100-2272
Sergio Roman-RomanInstitut Curie, PSL Research University, Translational Research Department, Paris, France.
Pierre-Yves DietrichHôpitaux Universitaires de Genève, Service d'Oncologie, Geneva, Switzerland.
Arnaud RothHôpitaux Universitaires de Genève, Service d'Oncologie, Geneva, Switzerland.
Wulfran CacheuxHôpitaux Universitaires de Genève, Service d'Oncologie, Geneva, Switzerland.
Institut Curie · FRUniversity of Geneva · CHInserm · FRHôpital Beau-Séjour · CHSIB Swiss Institute of Bioinformatics · CHUniversité Paris Sciences et Lettres · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the risk of liver metastasis can have important prognostic and therapeutic implications, given the availability of liver-directed therapy. Uveal melanoma has a striking predisposition for liver metastasis despite the absence of anatomical proximity. Understanding its biology may uncover factors promoting liver metastasis in other malignancies. We quantified gene expression by RNAseq in 76 uveal melanomas and combined with public data in a meta-analysis of 196 patients. The meta-analysis of uveal melanoma gene expression identified 63 genes which remained prognostic after adjustment for chromosome 3 status. Two genes, PTP4A3 and JPH1, were selected by L1-penalized regression and combined in a prognostic score. The score predicted liver-specific relapse in a public pan-cancer dataset and in two public colorectal cancer datasets. The score varied between colorectal consensus molecular subtypes (CMS), as did the risk of liver relapse, which was lowest in CMS1. Additional prospective validation was done by real-time PCR in 463 breast cancer patients. The score was significantly correlated with liver relapse in hormone receptor positive tumors. In conclusion, the expression of PTP4A3 and JPH1 correlates with risk of liver metastasis in colorectal cancer and breast cancer. The underlying biological mechanism is an interesting area for further research.

Indexed as

Breast NeoplasmsColorectal NeoplasmsEpithelial CellsGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMelanomaNeoplasm ProteinsNeoplasm Recurrence, LocalNeoplasms, Glandular and EpithelialPrognosisProspective StudiesUveal MelanomaUveal NeoplasmsNeoplasm Proteins

Identifiers

PMID31748560
PMCPMC6868129
OpenAlexW2989661078

What OpenQuestion 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 OpenQuestion graph.