Gender Differences in Gliomas: from Epidemiological Trends to Changes at the Hormonal and Molecular Levels

Jiale Yin, Gai Liu,Yue Zhang, Yu Zhou, Yuchun Pan, Qiaoshan Zhang,Rutong Yu,Shangfeng Gao

Cancer Letters（2024）SCI 1区SCI 2区

Xuzhou Med Univ

Cited 0|Views6

Abstract

Gender plays a crucial role in the occurrence and development of cancer, as well as in the metabolism of nutrients and energy. Men and women display significant differences in the incidence, prognosis, and treatment response across various types of cancer, including certain sex-specific tumors. It has been observed that male glioma patients have a higher incidence and worse prognosis than female patients, but there is currently a limited systematic evaluation of sex differences in gliomas. The purpose of this study is to provide an overview of the association between fluctuations in sex hormone levels and changes in their receptor expression with the incidence, progression, treatment, and prognosis of gliomas. Estrogen may have a protective effect on glioma patients, while exposure to androgens increases the risk of glioma. We also discussed the specific genetic and molecular differences between genders in terms of the malignant nature and prognosis of gliomas. Factors such as TP53, MGMT methylation status may play a crucial role. Therefore, it is essential to consider the gender of patients while treating glioma, particularly the differences at the hormonal and molecular levels. This approach can help in the adoption of an individualized treatment strategy.

Translated text

Key words

Glioma,Gender,Sex hormone,MGMT,DNA methylation

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Chat Paper

【要点】：本文探讨了性别在胶质瘤发生、发展、治疗及预后中的作用，特别是性激素水平和受体表达的变化与胶质瘤的相关性，指出性别差异在个性化治疗策略中的重要性。

【方法】：文章通过文献综述的方式，分析了性别差异在胶质瘤流行病学趋势、激素水平和分子层面的变化。

【实验】：未具体描述实验过程，但提及了性别差异在胶质瘤TP53、MGMT甲基化状态等分子标志物中的影响，数据来源于相关流行病学和临床研究。