Related Experiment Video
Updated: Jan 24, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
NEK2 Is an Effective Target for Cancer Therapy With Potential to Induce Regression of Multiple Human Malignancies
Toshio Kokuryo1, Yukihiro Yokoyama2, Junpei Yamaguchi2
1Division of Surgical Oncology, Department of Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan kokuryoh@med.nagoya-u.ac.jp.
Abstract:
Cancer is characterized by uncontrolled cell proliferation due to the aberrant activity of various proteins. Cell cycle-related proteins are thought to be important in several functions, such as proliferation, invasion and drug resistance in human malignancies. Never in mitosis gene A-related kinase 2 (NEK2) is a cell cycle-related protein. NEK2 is highly expressed in various tumor types and cancer cell lines. NEK2 expression is correlated with rapid relapse and poor outcome in multiple cancer types. Several researchers have demonstrated that NEK2 inhibition results in anticancer effects against many types of cancers, both in vitro and in vivo. Recent research strongly indicates the advantages of NEK2-targeted therapy for cancer. This review focuses on the current understanding of NEK2 in cancer and the rationale of a xenograft cancer model for cancer treatment. A possible therapeutic strategy, such as inhibitor and nucleic acid medicine targeting of NEK2, is also discussed.
Insights
Never in mitosis gene A-related kinase 2 (NEK2) is a cell cycle protein driving cancer growth. Inhibiting NEK2 shows promise for effective cancer therapies, with xenograft models aiding treatment development.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- Cancer is defined by uncontrolled cell proliferation, often linked to aberrant protein activity.
- Cell cycle proteins play crucial roles in cancer progression, including proliferation, invasion, and drug resistance.
- Never in mitosis gene A-related kinase 2 (NEK2) is a cell cycle protein frequently overexpressed in various cancers.
Purpose of the Study:
- To review the current understanding of NEK2's role in cancer development and progression.
- To explore the rationale for using xenograft cancer models in evaluating NEK2-targeted therapies.
- To discuss potential therapeutic strategies, including inhibitors and nucleic acid medicines, targeting NEK2.
Main Methods:
- Literature review of NEK2's function in cancer.
- Analysis of NEK2 expression correlation with clinical outcomes.
- Examination of preclinical (in vitro and in vivo) studies on NEK2 inhibition.
- Discussion of xenograft models for therapeutic evaluation.
Main Results:
- NEK2 is highly expressed across diverse tumor types and cancer cell lines.
- Elevated NEK2 expression correlates with rapid relapse and poor prognosis in multiple cancers.
- NEK2 inhibition demonstrates significant anticancer effects in both in vitro and in vivo models.
Conclusions:
- NEK2 is a critical driver of cancer proliferation and progression.
- Targeting NEK2 presents a promising therapeutic strategy for various malignancies.
- Further research into NEK2-targeted therapies, supported by xenograft models, is warranted.
Related Concept Videos
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Targeted Cancer Therapies
There are several types of targeted therapies against...
Regression Toward the Mean
Cancer Therapies
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
Correlation and Regression
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:

