Evidence map›Paper›PMID 34547189›Full record

ArticleCancer medicine2021

Identification of colon tumor marker NKD1 via integrated bioinformatics analysis and experimental validation.

Yue Wang, Chunxia Yang, Wenjing Li, Ying Shen, Jianzhong Deng, Wenbin Lu, Jianhua Jin, Yongping Liu, Qian Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  3. PPIFJournal of translational medicine · 2025
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  14. [NKD1 promotes glucose uptake in colon cancer cells by activating YWHAE transcription].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    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

9 authors at 2 institutions in 1 country.

Yue WangThe Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China.
Chunxia YangDepartment of Oncology, Wujin Hospital Affiliated with Jiangsu University, Jiangsu Province, China.
Wenjing LiDepartment of Oncology, Wujin Hospital Affiliated with Jiangsu University, Jiangsu Province, China.
Ying ShenDepartment of Oncology, Wujin Hospital Affiliated with Jiangsu University, Jiangsu Province, China.
Jianzhong DengDepartment of Oncology, Wujin Hospital Affiliated with Jiangsu University, Jiangsu Province, China.
Wenbin LuDepartment of Oncology, Wujin Hospital Affiliated with Jiangsu University, Jiangsu Province, China.
Jianhua JinDepartment of Oncology, Wujin Hospital Affiliated with Jiangsu University, Jiangsu Province, China.
Yongping LiuThe Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China.
Qian LiuDepartment of Oncology, Wujin Hospital Affiliated with Jiangsu University, Jiangsu Province, China.ORCID 0000-0002-1574-6150
Jiangsu University · CNSoochow University · CN

Funding

Changzhou High-Level Medical Talents Training Project 2016CZBJ054Changzhou Sci & Tech Program CJ20200004Jiangsu Health and Health Commission LGY2018017Jiangsu Key Laboratory of Biotherapy XZSYSKF2020005Medical Research Project of Jiangsu Health Commission M2020002National Natural Science Foundation of China 81872275The Clinical Technology Development Foundation of Jiangsu University JLY20180007The Clinical Technology Development Foundation of Jiangsu University JLY20180008The Clinical Technology Development Foundation of Jiangsu University JLY20180092
6 · The paper itself

Abstract

backgroundColorectal cancer is an important death-related disease in the worldwide. However, specific colon cancer tumor markers currently used for diagnosis and treatment are few. The purpose of this study is to screen the potential colon cancer markers by bioinformatics and verify the results with experiments.

methodsGene expression data were downloaded from two different databases: TCGA database and GEO datasets, which were then analyzed by two different methods (difference analysis and WGCNA method). Venn and PPI analysis obtained the potential core genes, which were then performed the GO enrichment and KEGG pathway analysis. Expressions levels of NKD1 in colon carcinoma tissues were further confirmed by immunohistochemical staining and western blot assays. Moreover, the function was measured by MTT, clone formation, and tumor transplantation experiments. Importantly, co-immunoprecipitation, immunofluorescence, and protein stability assays were further performed to explore the underlying mechanism of NKD1 promoting cell proliferation.

resultsNine potential core genes highly expressed in colon cancer samples were screened out by bioinformatics analysis. NKD1, one of the hub genes, highly expressed in the colon carcinoma tissues could enhance the proliferation of colon cancer cells. Mechanism research demonstrated that NKD1 was essential for the combination between Wnt signalosome (DVL) and β-catenin, and that NKD1 knockout remarkably decreased the β-catenin expression. Immunofluorescence assays further implied that NKD1 knockout significantly inhibited β-catenin nuclear accumulation. Importantly, the stability of β-catenin proteins was maintained by NKD1 in the colon cancer cells.

conclusionWe believe that NKD1 well expressed in the colorectal carcinoma tissues can enhance the proliferation of colon cancer cells. Furthermore, the functions that NKD1 may have in colon cancer cells should be different from that NKD1 has played in the zebrafish. Thus, NKD1 could be a specific colorectal cancer marker.

Indexed as

Adaptor Proteins, Signal TransducingBiomarkers, TumorCalcium-Binding ProteinsCell ProliferationColonic NeoplasmsComputational BiologyHumansAdaptor Proteins, Signal TransducingBiomarkers, TumorCalcium-Binding ProteinsNKD1 protein, humanbioinformaticscolon cancerNKD1proliferationWGCNA

Identifiers

PMID34547189
PMCPMC8525156
OpenAlexW3199341476

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.