Evidence map›Paper›PMID 35814410›Full record

ArticleFrontiers in oncology2022

A Novel Matrisomal-Related LncRNA Signature Associated With Survival Outcome and Immune Evasion in Patients With Gastric Cancer.

Yuan Yang, Li Shi, Jun Zhang, Ya Zheng, Guozhi Wu, Jie Sun, Min Liu, Zhaofeng Chen, Yuping Wang, Rui Ji and 2 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% 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.

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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

12 authors at 2 institutions in 1 country.

Yuan YangThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Li ShiThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Jun ZhangDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Ya ZhengDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Guozhi WuThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Jie SunThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Min LiuDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Zhaofeng ChenDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Yuping WangDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Rui JiDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Qinghong GuoDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
Yongning ZhouDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.
First Hospital of Lanzhou University · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Different matrisomal patterns are shared across carcinomas. However, little is known about whether there exists a unique tumor matrisome that modulates GC progression and immune regulation. Methods: We conducted a genome-wide analysis based on matrisomal-related lncRNAs (MRLs) in 375 patients with GC from the Cancer Genome Atlas (TCGA) database. Patients were split into the training set and validation set at a ratio of 1:1 using the R package cart. Pearson correlation analysis (PCA) was performed to identify lncRNAs that correlated with matrisome based on differential expression genes. Subsequently, we performed univariate Cox regression analyses and lasso Cox analysis on these lncRNAs to construct a risk model. Considering the primary effect of GRASLND on the GC prognosis, we chose it for further validation in an experimental setting. Results: We identified a 15-MRL signature to predict overall survival and immune cell infiltration of patients with GC. The AUC values to predict 5-year outcome in three sets were 0.89, 0.65, and 0.78, respectively. Further analyses suggested that the high-risk group showed more obvious immune cell infiltration, and demonstrated an immunologically "cold" profile. Conclusions: The 15-MRL gene signature might serve as a relatively good predictive tool to manage patients with GC.

Indexed as

gastric cancerimmune regulationmatrisomal patternoverall survival (OS)risk model

Identifiers

PMID35814410
PMCPMC9263572
OpenAlexW4283456835

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Registered trials

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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.