Evidence map›Paper›PMID 37686695›Full record

ArticleCancers2023

Primary Colorectal Tumor Displays Differential Genomic Expression Profiles Associated with Hepatic and Peritoneal Metastases.

Maximiliano Gelli, Christophe Desterke, Mohamed Amine Bani, Valérie Boige, Charles Ferté, Peggy Dartigues, Bastien Job, Geraldine Perkins, Pierre Laurent-Puig, Diane Goéré and 4 more

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
0.5field-weighted citation impact, top 31% 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, 2 citations in OpenAlex.

  1. Review
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.

Maximiliano GelliUniversité Paris-Saclay, Gustave Roussy, INSERM, Dynamique des Cellules Tumorales (U-1279), F-94805 Villejuif, France.ORCID 0000-0001-9807-4021
Christophe DesterkeUniversité Paris Saclay, INSERM, Modèles de Cellules Souches Malignes et Thérapeutiques (UMR1310), F-94805 Villejuif, France.ORCID 0000-0001-7679-2524
Mohamed Amine BaniGustave Roussy, Département de Biologie et Pathologie Médicale, F-94805 Villejuif, France.ORCID 0000-0003-4834-4905
Valérie BoigeGustave Roussy, Département de Médecine Oncologique, F-94805 Villejuif, France.
Charles FertéGustave Roussy, Département de Médecine Oncologique, F-94805 Villejuif, France.
Peggy DartiguesGustave Roussy, Département de Biologie et Pathologie Médicale, F-94805 Villejuif, France.
Bastien JobUniversité Paris-Saclay, CNRS, Inserm, US23, UMS3655, F-94805 Villejuif, France.
Geraldine PerkinsInstitut du Cancer Paris CARPEM, AP-HP, AP-HP Centre, Department of Hepatogastroenterology and Digestive Oncology, Hôpital Européen Georges Pompidou, 20 Rue Leblanc, F-75015 Paris, France.ORCID 0000-0002-4960-2534
Pierre Laurent-PuigSorbonne Université, USPC, Université Paris Descartes, Université Paris Diderot, Centre de Recherche des Cordeliers, INSERM, CNRS, F-75005 Paris, France.ORCID 0000-0001-8475-5459
Diane GoéréUniversité Paris-Saclay, Gustave Roussy, INSERM, Dynamique des Cellules Tumorales (U-1279), F-94805 Villejuif, France.
Jacques R R MathieuUniversité Paris-Saclay, Gustave Roussy, INSERM, Dynamique des Cellules Tumorales (U-1279), F-94805 Villejuif, France.
Jerome CartryUniversité Paris-Saclay, Gustave Roussy, INSERM, Dynamique des Cellules Tumorales (U-1279), F-94805 Villejuif, France.ORCID 0000-0002-1693-1323
Michel DucreuxUniversité Paris-Saclay, Gustave Roussy, INSERM, Dynamique des Cellules Tumorales (U-1279), F-94805 Villejuif, France.
Fanny JaulinUniversité Paris-Saclay, Gustave Roussy, INSERM, Dynamique des Cellules Tumorales (U-1279), F-94805 Villejuif, France.
Inserm · FRCentre National de la Recherche Scientifique · FRInstitut Gustave Roussy · FRAssistance Publique – Hôpitaux de Paris · FR

Funding

Agence Nationale de la Recherche ANR-20-CE13-0031-01French National Cancer Institute 2020-1-PL BIO-04Inserm Transfert 20CR046-00Institut Gustave Roussy Mars Bleu" and sponsorship
6 · The paper itself

Abstract

backgroundDespite improvements in characterization of CRC heterogeneity, appropriate risk stratification tools are still lacking in clinical practice. This study aimed to elucidate the primary tumor transcriptomic signatures associated with distinct metastatic routes.

methodsPrimary tumor specimens obtained from CRC patients with either isolated LM (CRC-Liver) or PM (CRC-Peritoneum) were analyzed by transcriptomic mRNA sequencing, gene set enrichment analyses (GSEA) and immunohistochemistry. We further assessed the clinico-pathological associations and prognostic value of our signature in the COAD-TCGA independent cohort.

resultsWe identified a significantly different distribution of Consensus Molecular Subtypes between CRC-Liver and CRC-peritoneum groups. A transcriptomic signature based on 61 genes discriminated between liver and peritoneal metastatic routes. GSEA showed a higher expression of immune response and epithelial invasion pathways in CRC-Peritoneum samples and activation of proliferation and metabolic pathways in CRC-Liver samples. The biological relevance of RNA-Seq results was validated by the immunohistochemical expression of three significantly differentially expressed genes (

conclusionsCRC primary tumors spreading to the liver and peritoneum display significantly different transcriptomic profiles. The implementation of this signature in clinical practice could contribute to identify new therapeutic targets for stage IV CRC and to define individualized follow-up programs in stage II-III CRC.

Indexed as

colorectal cancer disseminationliver metastasesmucinous colorectal cancerorganotropismperitoneal metastases

Identifiers

PMID37686695
PMCPMC10648258
OpenAlexW4386423472

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.