MAP3K1 Identified as a Prognostic Biomarker in Breast Cancer After Multi-omics Bioinformatics Analysis

Author:

Narang Binish1

Affiliation:

1. Ridge High School

Abstract

Abstract Background Despite significant advances in cancer research, cancer remains a major public health concern, with breast cancer being one of the leading causes of death among women. The mitogen-activated protein kinase kinase kinase 1 (MAP3K1) codes for a serine/threonine kinase abundant in the c-Jun N-terminal kinase, mitogen-activated protein kinase, and Nf-kappa-β pathways, which are involved in tumorigenesis. Methods Multi-omics bioinformatics analysis on the TCGA and METABRIC datasets from cBioPortal was conducted to analyze MAP3K1’s relevance in breast cancer. Other tools, including TIMER 2.0, Kaplan-Meier Plotter, UALCAN, and STRING, were implemented to provide additional insight into MAP3K1 in different types of omics data. Results Results revealed that, though MAP3K1 alterations are relatively uncommon overall, they are most common in breast cancer. These alterations mostly included truncating mutations and often co-occurred with alterations in PIK3CA, an already established biomarker in breast cancer research. Survival analysis indicated that MAP3K1 underexpression was strongly associated with lower patient survival. MAP3K1 was underexpressed for African Americans, triple-negative breast cancer patients, and stage 4 patients, while its phosphoprotein was overexpressed for these demographics. Conclusions Drug targets or other targeted therapy options that limit MAP3K1 phosphoprotein expression could potentially improve patient outcomes, especially for the aforementioned demographics. However, limited information is known about this phosphoprotein, so there is an unmet need to address this lack of knowledge and eventually find ways to combat its excessive expression in breast cancer.

Publisher

Research Square Platform LLC

Reference50 articles.

1. Cancer statistics, 2023;Siegel RL;CA Cancer J Clin,2023

2. Giaquinto AN, Sung H, Miller KD, Kramer JL, Newman LA, Minihan A. etal Breast Cancer Statistics 2022 CA Cancer J Clin. 2022;72(6):524–41.

3. Tumour heterogeneity and resistance to cancer therapies;Dagogo-Jack I;Nat Rev Clin Oncol,2018

4. Genomic and Epigenomic Alterations in Cancer;Chakravarthi BVSK;Am J Pathol,2016

5. Breast cancer;Harbeck N;Nat Rev Dis Primer,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3