Evidence map›Paper›PMID 37719786›Full record

ArticleInternational journal of genomics2023

An Analysis of the Gene Expression Associated with Lymph Node Metastasis in Colorectal Cancer.

Hongjie Yang, Jiafei Liu, Peishi Jiang, Peng Li, Yuanda Zhou, Zhichun Zhang, Qingsheng Zeng, Min Wang, Luciena Xiao Xiao, Xipeng Zhang and 2 more

Abstract read
In one paragraph

Article in International journal of genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Hongjie YangNankai University, Tianjin, China.ORCID https://orcid.org/0000-0002-9608-2287
Jiafei LiuNankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-9744-2232
Peishi JiangNankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-7334-7660
Peng LiNankai University, Tianjin, China.ORCID https://orcid.org/0000-0002-4020-6957
Yuanda ZhouNankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-7047-7662
Zhichun ZhangNankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-9626-8244
Qingsheng ZengNankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-6853-5245
Min WangKey Laboratory of Molecular Microbiology and Technology, Ministry of Education, TEDA Institute of Biological Sciences and Biotechnology, Nankai University, Tianjin, China.
Luciena Xiao XiaoDepartment of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-1268-9744
Xipeng ZhangNankai University, Tianjin, China.ORCID https://orcid.org/0000-0002-2434-8226
Yi SunNankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-8169-0530
Siwei ZhuNankai University, Tianjin, China.ORCID https://orcid.org/0009-0002-5951-6784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the genes regulating lymph node metastasis in colorectal cancer (CRC) and to clarify their relationship with tumor immune cell infiltration and patient prognoses. Methods: The data sets of CRC patients were collected through the Cancer Gene Atlas database; the differentially expressed genes (DEGs) associated with CRC lymph node metastasis were screened; a protein-protein interaction (PPI) network was constructed; the top 20 hub genes were selected; the Gene Ontology functions and the Kyoto Encyclopedia of Genes and Genomes pathways were enriched and analyzed. The Least Absolute Shrinkage and Selection Operator (LASSO) regression method was employed to further screen the characteristic genes associated with CRC lymph node metastasis in 20 hub genes, exploring the correlation between the characteristic genes and immune cell infiltration, conducting a univariate COX analysis on the characteristic genes, obtaining survival-related genes, constructing a risk score formula, conducting a Kaplan-Meier analysis based on the risk score formula, and performing a multivariate COX regression analysis on the clinical factors and risk scores. Results: A total of 62 DEGs associated with CRC lymph node metastasis were obtained. Among the 20 hub genes identified via PPI, only calcium-activated chloride channel regulator 1 (CLCA1) expression was down-regulated in lymph node metastasis, and the rest were up-regulated. A total of nine characteristic genes associated with CRC lymph node metastasis (KIF1A, TMEM59L, CLCA1, COL9A3, GDF5, TUBB2B, STMN2, FOXN1, and SCN5A) were screened using the LASSO regression method. The nine characteristic genes were significantly related to different kinds of immune cell infiltration, from which three survival-related genes (TMEM59L, CLCA1, and TUBB2B) were screened. A multi-factor COX regression showed that the risk scores obtained from TMEM59L, CLCA1, and TUBB2B were independent prognostic factors. Immunohistochemical validation was performed in tissue samples from patients with rectal and colon cancer. Conclusion: TMEM59L, CLCA1, and TUBB2B were independent prognostic factors associated with lymphatic metastasis of CRC.

Identifiers

PMID37719786
PMCPMC10501847

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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.