Tissue amino acid profiles are characteristic of tumor type, malignant phenotype, and tumor progression in pancreatic tumors

癌变 氨基酸 胰腺癌 腺癌 病态的 病理 胰腺导管腺癌 癌症 生物 癌症研究 肿瘤进展 病变 医学 内科学 生物化学
作者
Nobuyoshi Hiraoka,Sakino Toue,Chisato Okamoto,Shinya Kikuchi,Yoshinori Ino,Rie Yamazaki–Itoh,Minoru Esaki,Satoshi Nara,Yoji Kishi,Akira Imaizumi,Nobukazu Ono,Kazuaki Shimada
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:9 (1) 被引量:16
标识
DOI:10.1038/s41598-019-46404-4
摘要

Abstract Tissue amino acid profiles depend on the cell types and extracellular components that constitute the tissue, and their functions and activities. We aimed to characterize the tissue amino acid profiles in several types of pancreatic tumors and lesions. We examined tissue amino acid profiles in 311 patients with pancreatic tumors or lesions. We used newly developed LC-MS/MS methods to obtain the profiles, which were compared with clinicopathological data. Each tumor or lesion presented a characteristic tissue amino acid profile. Certain amino acids were markedly altered during the multistep pancreatic carcinogenesis and pancreatic ductal adenocarcinoma (PDAC) progression. A tissue amino acid index (TAAI) was developed based on the amino acids that were notably changed during both carcinogenesis and cancer progression. Univariate and multivariate survival analyses revealed that PDAC patients with a high TAAI exhibited a significantly shorter survival rate, and these findings were validated using a second cohort. We suggest that tissue amino acid profiles are characteristic for normal tissue type, tumor histological type, and pathological lesion, and are representative of the cancer grade or progression stage in multistep carcinogenesis and of malignant characteristics. The TAAI could serve as an independent prognosticator for patients with PDAC.

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
YY完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
科研通AI6.3应助权雨灵采纳,获得30
1秒前
1秒前
万能图书馆应助李颖佳采纳,获得10
1秒前
zxswuyin发布了新的文献求助10
1秒前
1秒前
Andy发布了新的文献求助10
2秒前
满天星发布了新的文献求助10
2秒前
传奇3应助brd采纳,获得10
2秒前
2秒前
2秒前
风吹而过发布了新的文献求助30
2秒前
方断秋完成签到,获得积分10
3秒前
贾舒涵发布了新的文献求助10
3秒前
锦鲤完成签到,获得积分10
3秒前
阿源完成签到,获得积分10
3秒前
luluki发布了新的文献求助10
3秒前
4秒前
4秒前
5秒前
WYN完成签到,获得积分10
5秒前
keliya完成签到 ,获得积分10
5秒前
5秒前
杨毅完成签到 ,获得积分10
6秒前
锦鲤发布了新的文献求助10
6秒前
spark发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
7秒前
许琦发布了新的文献求助10
7秒前
轻松小之完成签到,获得积分10
7秒前
悦耳雁山完成签到,获得积分10
7秒前
义气语蕊发布了新的文献求助10
7秒前
WYN发布了新的文献求助10
8秒前
爆米花应助轻松的雪枫采纳,获得10
9秒前
bodao发布了新的文献求助10
10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
No Good Deed Goes Unpunished 1100
《锂离子电池硅基负极材料》 1000
Bioseparations Science and Engineering Third Edition 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Entre Praga y Madrid: los contactos checoslovaco-españoles (1948-1977) 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6105963
求助须知:如何正确求助?哪些是违规求助? 7934839
关于积分的说明 16441162
捐赠科研通 5233301
什么是DOI,文献DOI怎么找? 2796485
邀请新用户注册赠送积分活动 1778623
关于科研通互助平台的介绍 1651618