Evidence map›Paper›PMID 34269159›Full record

ArticleBioengineered2021

Expression levels of chemokine (C-X-C motif) ligands CXCL1 and CXCL3 as prognostic biomarkers in rectal adenocarcinoma: evidence from Gene Expression Omnibus (GEO) analyses.

Qi-Yuan Lv, Hai-Zhou Zou, Yu-Yan Xu, Zhen-Yong Shao, Ruo-Qi Wu, Ke-Jie Li, Xia Deng, Dian-Na Gu, Hong-Xiao Jiang, Meng Su and 1 more

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. 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
1.6field-weighted citation impact, top 16% 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, 13 citations in OpenAlex.

  1. The Significance of CXCL1 in Cancer: An Overview of Molecular Mechanisms.International journal of molecular sciences · 2026
    Review
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  7. Review
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  9. Expression ofTranslational cancer research · 2022
    Article
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

11 authors at 3 institutions in 2 countries.

Qi-Yuan LvDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hai-Zhou ZouDepartment of Oncology, Wenzhou Hospital of Traditional Chinese Medicine, Wenzhou, Zhejiang, China.
Yu-Yan XuDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Zhen-Yong ShaoDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ruo-Qi WuDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ke-Jie LiDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Xia DengDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Dian-Na GuDepartment of Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hong-Xiao JiangOmigen, Inc, Hangzhou, PR China.
Meng SuDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Chang-Lin ZouDepartment of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID 0000-0002-6143-1598
Wenzhou Medical University · CNOmega Consult (Slovenia) · SIWenzhou Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rectal cancer is a life‑threatening disease worldwide. Chemotherapy resistance is common in rectal adenocarcinoma patients and has unfavorable survival outcomes; however, its related molecular mechanisms remain unknown. To identify genes related to the initiation and progression of rectal adenocarcinoma, three datasets were obtained from the Gene Expression Omnibus database. In total, differentially expressed genes were analyzed from 294 tumor and 277 para-carcinoma samples from patients with rectal cancer. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functions were investigated. Cytoscape software and MicroRNA Enrichment Turned Network were applied to construct a protein-protein interaction network of the dependent hub genes and related microRNAs. The Oncomine database was used to identify hub genes. Additionally, Gene Expression Profiling Interactive Analysis was applied to determine the RNA expression level. Tumor immune infiltration was assessed using the Tumor Immune Estimation Resource database. The expression profiles of hub genes between stages, and their prognostic value, were also evaluated. During this study, data from The Cancer Genome Atlas were utilized. In rectal adenocarcinoma, four hub genes including CXCL1, CXCL2, CXCL3, and GNG4 were highly expressed at the gene and RNA levels. The expression of CXCL1, CXCL2, and CXCL3 was regulated by has-miR-1-3p and had a strong positive correlation with macrophage and neutrophil. CXCL2 and CXCL3 were differentially expressed at different tumor stages. High expression levels of CXCL1 and CXCL3 predicted poor survival. In conclusion, the CXCL1 and CXCL3 genes may have potential for prognosis and molecular targeted therapy of rectal adenocarcinoma.

Indexed as

AdenocarcinomaRectal NeoplasmsBiomarkers, TumorChemokine CXCL1Chemokines, CXCDatabases, GeneticHumansPrognosisTranscriptomeBiomarkers, TumorChemokine CXCL1Chemokines, CXCCXCL1 protein, humanCXCL3 protein, humanbioinformatics analysisCXCL1CXCL2CXCL3Rectal adenocarcinoma

Identifiers

PMID34269159
PMCPMC8806660
OpenAlexW3179663246

What OpenQuestion holds

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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.