Evidence map›Paper›PMID 29693170›Full record

ArticleInternational journal of molecular medicine2018

Inflammatory genes are novel prognostic biomarkers for colorectal cancer.

Hao Jiang, Li Dong, Fangyan Gong, Yuping Gu, Henghun Zhang, Dong Fan, Zhiguo Sun

Abstract read
In one paragraph

Article in International journal of molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
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  4. Titin as a potential novel therapeutic target in colorectal cancer.Journal of cellular and molecular medicine · 2023
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  19. Identification of aberrant gene expression during breast ductal carcinomaThe Journal of international medical research · 2020
    Article
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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

7 authors.

Hao JiangDepartment of General Surgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China.
Li DongDepartment of General Surgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China.
Fangyan GongClinical Laboratory, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China.
Yuping GuDepartment of General Surgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China.
Henghun ZhangDepartment of General Surgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China.
Dong FanDepartment of General Surgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China.
Zhiguo SunDepartment of General Surgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory genes serve a crucial role in the pathogenesis of inflammation‑associated tumors. However, as recent studies have mainly focused on the effects of single inflammatory genes on colorectal cancer (CRC), but not on the global interactions between genes, the underlying mechanisms between inflammatory genes and CRC remain unclear. In the current study, two inflammation‑associated networks were constructed based on inflammatory genes, differentially expressed genes (DEGs) in CRC vs. normal samples, and protein‑protein interactions (PPIs). These networks included an inflammation‑related neighbor network (IRNN) and an inflammation‑related DEG network (IRDN). Notably, the results indicated that the inflammatory genes served as important CRC‑associated genes in the IRNN. Certain inflammatory genes were more likely to be network hubs and exhibited higher betweenness centralities, indicating that these inflammatory hub genes had central roles in the communication between genes in the IRNN. By contrast, in the IRDN, functional enrichment analysis revealed that genes were enriched in numerous cancer‑associated functions and pathways. Subsequently, 14 genes in a module were identified in the IRDN as the potential biomarkers associated with disease‑free survival (DFS) in CRC patients in the GSE24550 dataset, the prognosis of which was further validated using three independent datasets (GSE24549, GSE34551 and GSE103479). All 14 genes (including BCAR1, CRK, FYN, GRB2, LCP2, PIK3R1, PLCG1, PTK2, PTPN11, PTPN6, SHC1, SOS1, SRC and SYK) in this module were inflammatory genes, emphasizing the critical role of inflammation in CRC. In conclusion, these findings based on integrated inflammation‑associated networks provided a novel insight that may help elucidate the inflammation‑mediated mechanisms involved in CRC.

Indexed as

AgedBiomarkers, TumorColorectal NeoplasmsDatabases, GeneticDisease-Free SurvivalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansInflammationKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisPrognosisBiomarkers, TumorRNA, Messenger

Identifiers

PMID29693170
PMCPMC5979867

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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.