Identifying the role of MTHFD1L in prostate cancer progression from genetic analysis and experimental validation

前列腺癌 癌变 癌症 表观遗传学 癌症研究 生物 前列腺 流浪汉 基因 基因敲除 单核苷酸多态性 色丛 肿瘤科 医学 生物信息学 遗传学 基因型 PCA3系列
作者
Yuan‐Chin Tsai
出处
期刊:American Journal of Cancer Research [e-Century Publishing Corporation]
卷期号:14 (1): 169-181
标识
DOI:10.62347/asmt9261
摘要

One-carbon metabolism plays a crucial role in tumorigenesis as it supplies the one-carbon units necessary for nucleotide synthesis, epigenetic regulation, and redox metabolism, ensuring the rapid proliferation of cancer cells. However, their roles in prostate cancer progression remain poorly understood. In this study, we investigated the association between genetic variants in the one-carbon metabolism pathway and clinical outcomes in patients receiving androgen deprivation therapy for prostate cancer. The associations of 130 single-nucleotide polymorphisms located within 14 genes involved in the one-carbon metabolism pathway with cancer-specific survival (CSS), overall survival, and progression-free survival were assessed using Cox regression in 630 patients with prostate cancer. Subsequently, functional studies were performed using prostate cancer cell lines. After adjusting for covariates and multiple testing, MTHFD1L rs2073190 was found to be significantly associated with CSS (P = 0.000184). Further pooled analysis of multiple datasets demonstrated that MTHFD1L was upregulated in prostate cancer and increased MTHFD1L expression was positively correlated with tumor aggressiveness and poor patient prognosis. Functionally, MTHFD1L knockdown suppressed prostate cancer cell proliferation and colony formation. RNA sequencing and pathway analysis revealed that differentially expressed genes were predominantly enriched in the cell cycle pathway. In conclusion, genetic variants in MTHFD1L of one-carbon metabolism may serve as promising predictors, and our findings offer valuable insights into the underlying genetic mechanisms of prostate cancer progression.
最长约 10秒,即可获得该文献文件

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
king_creole完成签到,获得积分10
2秒前
繁荣的忆文完成签到,获得积分10
4秒前
5秒前
澍寗关注了科研通微信公众号
6秒前
骐骥发布了新的文献求助10
6秒前
小翼完成签到,获得积分10
8秒前
8秒前
13秒前
123456qi发布了新的文献求助30
13秒前
科研通AI6.4应助骐骥采纳,获得10
15秒前
斯文败类应助简单若风采纳,获得10
16秒前
16秒前
迪娜完成签到,获得积分10
18秒前
一颗煎蛋发布了新的文献求助10
18秒前
打打应助linman采纳,获得10
19秒前
精明的不凡完成签到,获得积分10
22秒前
22秒前
四季西瓜完成签到,获得积分10
23秒前
26秒前
nn发布了新的文献求助10
26秒前
风清扬发布了新的文献求助50
27秒前
27秒前
Jasper应助逾期采纳,获得10
28秒前
晚风完成签到,获得积分10
28秒前
temp应助徐安琪采纳,获得10
29秒前
31秒前
jason完成签到 ,获得积分10
32秒前
萨尔莫斯完成签到,获得积分10
33秒前
Jada发布了新的文献求助10
33秒前
35秒前
36秒前
36秒前
曾经以亦发布了新的文献求助30
37秒前
茉莉寒发布了新的文献求助10
37秒前
37秒前
37秒前
澍寗发布了新的文献求助10
37秒前
37秒前
科研通AI6.4应助BigTong采纳,获得10
37秒前
38秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Matrix Methods in Data Mining and Pattern Recognition 510
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 7157667
求助须知:如何正确求助?哪些是违规求助? 8801894
关于积分的说明 18600680
捐赠科研通 6759449
什么是DOI,文献DOI怎么找? 3161988
关于科研通互助平台的介绍 2297218
邀请新用户注册赠送积分活动 2136686