Evidence map›Paper›PMID 39961875›Full record

ArticleDiscover oncology2025

Comprehensive analysis of basement membrane-related genes showed that NELL2 is a new therapeutic target for colorectal cancer.

Weiguo Wang, Zhengxing Dai, Chen Ge, Xitian Zhou, Yi Zhan, Chaobo Chen

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Weiguo Wang *Department of Interventional and Vascular Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Zhengxing Dai *Department of Interventional and Vascular Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Chen Ge *Department of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Xitian ZhouDepartment of Interventional and Vascular Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Yi ZhanDepartment of Interventional and Vascular Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Chaobo ChenDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China. bobo-chen@163.com.

Funding

Top Talent Support Program for Young and Middle-Aged People of Wuxi Health Committee HB2023116
6 · The paper itself

Abstract

backgroundThe basement membrane (BM), an omnipresent extracellular matrix, plays a pivotal role as a physiological element in the process of tumor metastasis. However, given the heterogeneity of colorectal cancer (CRC), prognosis is challengingly predictive. Therefore, we aim to construct a prognostic model using BM-associated genes to assess patient prognosis and clinical drug treatment effects.

methodThe Non-negative Matrix Factorization (NMF) algorithm leverages the characteristics or categories of matrix rows and columns to achieve BMAG molecular classification and further develop a model for predicting patient prognosis. ssGSEA quantified the relatively abundance of 13 immune functionalities and 16 immune cell typologies. To predict the efficacy of immunotherapy, a comprehensive investigation was conducted on the correlations between riskScores and key factors such as TME, immune checkpoints, and MMR-related genes. The CCK8 method, plate cloning method and Cell Apoptosis Assessment were used to evaluate the ability of NELL2 to affect the proliferation.

resultWe developed a powerful riskScore to predict colorectal cancer prognosis and effectively differentiate the tumor microenvironment. In clinical practice, this riskScore can also be utilized to further assess patient prognosis, thereby facilitating personalized treatment strategies. In addition, downregulation of NELL2 expression inhibits CRC cell proliferation.

conclusionIn summary, we constructed a novel riskScore using BMAG for predicting prognosis in patients with CRC and explored the efficacy of this riskScore in predicting patient response to clinical drug therapy. Most importantly, we have identified the oncogenic role of NELL2 in CRC. By inhibiting NELL2, we can further suppress the initiation and progression of CRC.

Indexed as

Apoptosis and proliferationBasement membranesColorectal cancerImmunotherapyPrognostic model

Identifiers

PMID39961875
PMCPMC11832829

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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.