Evidence map›Paper›PMID 38369589›Full record

ArticleScientific reports2024

TRIP6 a potential diagnostic marker for colorectal cancer with glycolysis and immune infiltration association.

Xu-Sheng Liu, Yu-Xuan Chen, Hua-Bing Wan, Ya-Lan Wang, Yang-Yang Wang, Yan Gao, Li-Bing Wu, Zhi-Jun Pei

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

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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

11 citing papers in PubMed, 16 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

8 authors at 1 institution in 1 country.

Xu-Sheng Liu *Department of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.ORCID https://orcid.org/0000-0002-3663-1096
Yu-Xuan Chen *Department of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Hua-Bing WanDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Ya-Lan WangDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Yang-Yang WangDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Yan GaoDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China.
Li-Bing WuDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China. wuerfan@sina.com.
Zhi-Jun PeiDepartment of Nuclear Medicine, Hubei Provincial Clinical Research Center for precision Diagnosis and Treatment of liver cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China. pzjzml1980@taihehospital.com.ORCID https://orcid.org/0000-0001-6125-0626
Hubei University of Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid hormone receptor interactor 6 (TRIP6) it is an adaptor protein belonging to the zyxin family of LIM proteins, participating in signaling events through interactions with various molecules. Despite this, TRIP6's role in colorectal cancer (CRC), particularly its correlation with glucose metabolism and immune cell infiltration, remains unclear. Through the TCGA and GEO databases, we obtained RNA sequencing data to facilitate our in-depth study and analysis of TRIP6 expression. To investigate the prognostic value of TRIP6 in CRC, we also used univariate Cox regression analysis. In addition, this study also covered a series of analyses, including clinicopathological analysis, functional enrichment analysis, glycolysis correlation analysis, immunoinfiltration analysis, immune checkpoint analysis, and angiogenesis correlation analysis, to gain a comprehensive and in-depth understanding of this biological phenomenon. It has been found that TRIP6 expression is significantly upregulated in CRC and correlates with the stage of the disease. Its overexpression portends a worse survival time. Functional enrichment analysis reveals that TRIP6 is associated with focal adhesion and glycolysis. Mechanistically, TRIP6 appears to exert its tumorigenic effect by regulating the glycolysis-related gene GPI. A higher level of expression of TRIP6 is associated with an increase in the number of iDC immune cells and a decrease in the number of Th1 immune cells. Also, TRIP6 may promote angiogenesis in tumor cells by promoting the expression of JAG2. Our study uncovers the upregulation of TRIP6 in CRC, illuminating its prognostic and diagnostic value within this context. Furthermore, we examine the relationship between TRIP6 expression levels, glycolysis, angiogenesis and immune cell infiltration. This underscores its potential as a biomarker for CRC treatment and as a therapeutic target.

Indexed as

Adaptor Proteins, Signal TransducingColorectal NeoplasmsLIM Domain ProteinsTranscription FactorsGlycolysisHumansProteasome Endopeptidase ComplexAdaptor Proteins, Signal TransducingLIM Domain ProteinsProteasome Endopeptidase ComplexTranscription FactorsTRIP6 protein, humanColorectal cancerGlycolysisImmune cell infiltrationPrognosticTRIP6

Identifiers

PMID38369589
PMCPMC10874967
OpenAlexW4391928763

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LicenceCC BY
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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.