Evidence map›Paper›PMID 35847866›Full record

ArticleFrontiers in oncology2022

Next-Generation Sequencing Analysis of Gastric Cancer Identifies the Leukemia Inhibitory Factor Receptor as a Driving Factor in Gastric Cancer Progression and as a Predictor of Poor Prognosis.

Cristina Di Giorgio, Silvia Marchianò, Elisabetta Marino, Michele Biagioli, Rosalinda Roselli, Martina Bordoni, Rachele Bellini, Ginevra Urbani, Angela Zampella, Eleonora Distrutti and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 14 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

13 authors at 3 institutions in 1 country.

Cristina Di GiorgioDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
Silvia MarchianòDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
Elisabetta MarinoAzienda Ospedaliera Santa Maria della Misericordia, Perugia, Italy.
Michele BiagioliDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
Rosalinda RoselliDepartment of Pharmacy, University of Naples Federico II, Naples, Italy.
Martina BordoniDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
Rachele BelliniDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
Ginevra UrbaniDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
Angela ZampellaDepartment of Pharmacy, University of Naples Federico II, Naples, Italy.
Eleonora DistruttiAzienda Ospedaliera Santa Maria della Misericordia, Perugia, Italy.
Annibale DoniniDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
Luigina GraziosiAzienda Ospedaliera Santa Maria della Misericordia, Perugia, Italy.
Stefano FiorucciDepartment of Medicine and Surgery, University of Perugia, Perugia, Italy.
University of Perugia · ITAzienda Ospedaliera di Perugia · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is the third cause of cancer-related mortality worldwide. Nevertheless, because GC screening programs are not cost-effective, most patients receive diagnosis in the advanced stages, when surgical options are limited. Peritoneal dissemination occurs in approximately one-third of patients with GC at the diagnosis and is a strong predictor of poor outcome. Despite the clinical relevance, biological and molecular mechanisms underlying the development of peritoneal metastasis in GC remain poorly defined. Here, we report results of a high-throughput sequencing of transcriptome expression in paired samples of non-neoplastic and neoplastic gastric samples from 31 patients with GC with or without peritoneal carcinomatosis. The RNA-seq analysis led to the discovery of a group of highly upregulated or downregulated genes, including the leukemia inhibitory factor receptor (LIFR) and one cut domain family member 2 (ONECUT2) that were differentially modulated in patients with peritoneal disease in comparison with patients without peritoneal involvement. Both LIFR and ONECUT2 predicted survival at univariate statistical analysis. LIFR and its major ligand LIF belong to the interleukin-6 (IL-6) cytokine family and have a central role in immune system regulation, carcinogenesis, and dissemination in several human cancers. To confirm the mechanistic role of the LIF/LIFR pathway in promoting GC progression, GC cell lines were challenged

Indexed as

biomarkerEC359gastric cancer (GC)LIF/LIFR axismetastasesperitoneal carcinomatosis (PC)trascriptome analysis

Identifiers

PMID35847866
PMCPMC9280277
OpenAlexW4283749139

What OpenQuestion holds

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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.