[Exploration of cancer biological characteristics in people with different five movements and six climates constitution based on pan-cancer Bulk RNA-Seq].

宪法 癌症 RNA序列 核糖核酸 生物 计算生物学 地理 遗传学 政治学 基因 转录组 法学 基因表达
作者
Xin-Hao Tang,Bo-Wen Chu,Chen-Tian-Yi Li,Yingfei Wang,Zhong-Hui Xia,Zimo Li,Xinyu Tian,Congying Wang,Qi Chen,Shuai Hao,Wei Tao,Jianming Wang,Mianhua Wu,Xiaohong Zheng
出处
期刊:PubMed [National Institutes of Health]
卷期号:49 (11): 3095-3112
标识
DOI:10.19540/j.cnki.cjcmm.20240311.501
摘要

According to the theory of five movements and six climates, the innate constitution plays a crucial role in determining the underlyingpa thological mechanisms of diseases later in life. Previous studies have demonstrated a close association between the constitution, as defined by the theory of five movements and six climates, and the development of various types of tumors. Furt hermore,the tumorsubtype determined by the constitution has prognostic implications. This highlights the potential of utilizing the fivemovements and six climates theory to guide the implementation of precision medicine strategies in thefield of oncology. However, no resear ch has yet been conducted to investigate the use of this theory in guiding the development of tumor molecular classification and precisi onmedicine strategies. The objective of this research is to uncover the biological characteristics of each constitution within a pancanc ercohort and identify potential anti-tumor drugs that are applicable to patients with different constitutional types. By doing so, we aimto c ontribute to the establishment of a precision medicine strategy for tumors derived from the original concepts of traditional Chi nesemedicine(TCM). In this study, we obtainedpan-cancer Bulk RNA-Seq data from UCSC Xena, GWAS cohort data from the UKBiobank, and cis-eQTLs data from eQ TLGen and GTEx V8. We employed machine learning methods to screen for hub genes associated with each constitution. Subsequently, we utilized informatics tools to explore the biological characteristics of each constitut iondefined by the theory of five movements and six bioclimates. Further, potential anti-tumor drugs suitable for patients with differen tconstitutional types were identified through mendelian randomization, molecular docking, and drug-like prediction techniques. Withinthe pan-cancer cohort, significant differences were observed among different constitutions in terms of progression-free interval, biological f unctions, immune cell abundance, tumor drug sensitivity, and immunotherapy response. These findings suggest that the five movements and six climates theory can guide tumor molecular classification and the development of precision medicine strategies. Moreover,the biological characteristics inherent to each constitution partially shed light on the scientific implications of Chinese medicinetheories, offering a fresh perspective towards clinical cancer treatment. Through molecular docking and drug-like prediction, several po tential anti-tumor drugs such as 17-beta-estradiol, serotonin, trans-resveratrol, and linoleic acid were identified. Overall, the util izationof multi-omics approaches pro vides a powerful tool to unravel the scientific foundations of TCM theories. The elucidation of themu lti-omics features associated witheach constitution in tumors serves as the basis for applying the five movements and six climates theoryto tumor molecular classification and the development of precision medicine strategies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lx840518发布了新的文献求助10
刚刚
方方完成签到 ,获得积分10
2秒前
2秒前
6682完成签到,获得积分10
7秒前
啦你完成签到 ,获得积分10
9秒前
靓丽的采白完成签到,获得积分10
11秒前
13秒前
挽风风风风完成签到,获得积分10
14秒前
清爽的机器猫完成签到 ,获得积分10
15秒前
深情安青应助年轻龙猫采纳,获得10
17秒前
17秒前
曹国庆完成签到 ,获得积分10
19秒前
林雯青完成签到,获得积分10
20秒前
板栗完成签到 ,获得积分10
23秒前
花样年华完成签到,获得积分10
24秒前
Skyllne完成签到 ,获得积分10
28秒前
baa完成签到,获得积分10
30秒前
34秒前
tough_cookie完成签到 ,获得积分10
34秒前
神经大侠完成签到,获得积分10
34秒前
留胡子的一江完成签到 ,获得积分20
34秒前
调皮平蓝完成签到,获得积分10
35秒前
Fanfan完成签到 ,获得积分10
35秒前
DOUBLE完成签到,获得积分10
38秒前
40秒前
怡然绯完成签到 ,获得积分10
42秒前
猪鼓励完成签到,获得积分10
43秒前
Jau完成签到,获得积分0
44秒前
47秒前
nanfeng完成签到 ,获得积分10
47秒前
xixixi完成签到 ,获得积分10
49秒前
mrconli完成签到,获得积分10
49秒前
king07完成签到,获得积分10
49秒前
刘真焊发布了新的文献求助10
50秒前
落寞的幻竹完成签到,获得积分10
50秒前
ldr888完成签到,获得积分10
50秒前
研友_西门孤晴完成签到,获得积分10
51秒前
结实新波发布了新的文献求助20
52秒前
害羞的雁易完成签到 ,获得积分10
55秒前
m李完成签到 ,获得积分10
58秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Single Cell Analysis of the Tumor Microenvironment Landscape Across the Disease Spectrum of Multiple Myeloma 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
The Cambridge History of China 英文版16册 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7331617
求助须知:如何正确求助?哪些是违规求助? 8946001
关于积分的说明 18975356
捐赠科研通 6985875
什么是DOI,文献DOI怎么找? 3216880
关于科研通互助平台的介绍 2383416
邀请新用户注册赠送积分活动 2196531