Evidence map›Paper›PMID 39872053›Full record

ArticleFrontiers in pharmacology2024

CSNK1E is involved in TGF-β1 induced epithelial mesenchymal transformationas and related to melanoma immune heterogeneity.

Wangbing Hong, Xin Wang, Xinyu Huang, Pengfei Chen, Yifan Liu, Ziying Zheng, Xin You, Yinghua Chen, Zengxin Xie, Gongnan Zhan and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Wangbing Hong *Department of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Xin Wang *Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Xinyu Huang *Department of Plastic and Aesthetic Surgery, Nanfang Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Pengfei ChenDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Yifan LiuDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Ziying ZhengDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Xin YouDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Yinghua ChenDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Zengxin XieDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Gongnan ZhanDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.
Heping HuangDepartment of Plastic and Cosmetic Surgery, Jiangxi Maternal and Child Health Hospital, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Melanoma (MM), the deadliest form of skin cancer, originates from melanocytes. Despite advances in immunotherapy that have somewhat improved the prognosis for MM patients, high levels of resistance to treatment continue to result in poor clinical outcomes. Identifying novel biomarkers and therapeutic targets is critical for improving the prognosis and treatment of MM. Methods: In this study, we analyzed the expression patterns of WNT signaling pathway genes in MM and explored their potential mechanisms. Using Cox regression analysis, we identified 19 prognostic-related genes. Consistency clustering was performed to evaluate the potential of these genes as classifiers for prognosis. The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was then applied to refine the gene set and construct a 13-gene prognostic model. We validated the model at multiple time points to assess its predictive performance. Additionally, correlation analyses were performed to investigate the relationships between key genes and processes, including epithelial-to-mesenchymal transition (EMT) and immune responses. Results: We identified that CSNK1E and RAC3 were significantly positively correlated with the EMT process, with CSNK1E showing a similar expression trend to EMT-related genes. Both genes were also negatively correlated with multiple immune cell types and immune checkpoint genes. The 13-gene prognostic model demonstrated excellent predictive performance in MM prognosis. Pan-cancer analysis further revealed heterogeneous expression patterns and prognostic potential of CSNK1E across various cancers. Wet experiments confirmed that CSNK1E promotes MM cell proliferation, invasion, and migration, and enhances malignant progression through the TGF-β signaling pathway. Discussion: Our findings suggest that CSNK1E plays a crucial role in MM progression and could serve as a potential therapeutic target. The WNT and TGF-β pathways may work synergistically in regulating the EMT process in MM, highlighting their potential as novel therapeutic targets. These insights may contribute to the development of more effective treatments for MM, particularly for overcoming resistance to current therapies.

Indexed as

CSNK1Eepithelial mesenchymal transformationaLASSOmelanomaTGF-β 1

Identifiers

PMID39872053
PMCPMC11771321

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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.