Data from Fibroblasts in the Aged Pancreas Drive Pancreatic Cancer Progression

胰腺癌 胰腺 癌症研究 癌症 内科学 医学 生物 内分泌学
作者
Daniel J. Zabransky,Yash Chhabra,Mitchell E. Fane,Emma Kartalia,James M. Leatherman,Laura Hüser,Jacquelyn W. Zimmerman,Daniel Delitto,Song Han,Todd D. Armstrong,Soren Charmsaz,Samantha Guinn,Sneha Pramod,Elizabeth D. Thompson,Steven J. Hughes,Jennifer O’Connell,Josephine M. Egan,Elizabeth M. Jaffee,Ashani T. Weeraratna
标识
DOI:10.1158/0008-5472.c.7181265.v1
摘要

<div>Abstract<p>Pancreatic cancer is more prevalent in older individuals and often carries a poorer prognosis for them. The relationship between the microenvironment and pancreatic cancer is multifactorial, and age-related changes in nonmalignant cells in the tumor microenvironment may play a key role in promoting cancer aggressiveness. Because fibroblasts have profound impacts on pancreatic cancer progression, we investigated whether age-related changes in pancreatic fibroblasts influence cancer growth and metastasis. Proteomics analysis revealed that aged fibroblasts secrete different factors than young fibroblasts, including increased growth/differentiation factor 15 (GDF-15). Treating young mice with GDF-15 enhanced tumor growth, whereas aged GDF-15 knockout mice showed reduced tumor growth. GDF-15 activated AKT, rendering tumors sensitive to AKT inhibition in an aged but not young microenvironment. These data provide evidence for how aging alters pancreatic fibroblasts and promotes tumor progression, providing potential therapeutic targets and avenues for studying pancreatic cancer while accounting for the effects of aging.</p>Significance:<p>Aged pancreatic fibroblasts secrete GDF-15 and activate AKT signaling to promote pancreatic cancer growth, highlighting the critical role of aging-mediated changes in the pancreatic cancer microenvironment in driving tumor progression.</p><p><i><a href="https://aacrjournals.org/cancerres/article/doi/10.1158/0008-5472.CAN-24-0439" target="_blank">See related commentary by Isaacson et al., p. 1185</a></i></p></div>

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
顾矜应助丹丹采纳,获得10
刚刚
1秒前
强强强强完成签到,获得积分20
1秒前
宝丁完成签到,获得积分10
1秒前
FashionBoy应助温暖幻桃采纳,获得10
1秒前
姚卓成完成签到,获得积分10
2秒前
W_G发布了新的文献求助10
2秒前
Apricity发布了新的文献求助10
2秒前
BINGOFAN发布了新的文献求助10
2秒前
李健应助dyp采纳,获得10
2秒前
科研通AI5应助yangyajie采纳,获得10
3秒前
热情南莲发布了新的文献求助10
3秒前
4秒前
4秒前
慕青应助甜美的尔容采纳,获得10
4秒前
5秒前
5秒前
marongzhi发布了新的文献求助10
6秒前
8秒前
9秒前
一一应助顺心牛排采纳,获得10
9秒前
Tao完成签到,获得积分20
10秒前
ha发布了新的文献求助10
10秒前
懒羊羊完成签到,获得积分20
10秒前
向日葵早早开花完成签到,获得积分10
10秒前
怡然犀牛完成签到 ,获得积分10
10秒前
11秒前
xxx发布了新的文献求助10
12秒前
meng发布了新的文献求助10
12秒前
12秒前
无籽莓完成签到,获得积分10
12秒前
12秒前
12秒前
传奇3应助暖暖采纳,获得10
12秒前
刻苦的寻凝完成签到,获得积分10
13秒前
思源应助李冰采纳,获得10
13秒前
13秒前
双非菜鸟完成签到,获得积分10
13秒前
13秒前
zzz关注了科研通微信公众号
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 610
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
Time Matters: On Theory and Method 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3559631
求助须知:如何正确求助?哪些是违规求助? 3134188
关于积分的说明 9405683
捐赠科研通 2834230
什么是DOI,文献DOI怎么找? 1557904
邀请新用户注册赠送积分活动 727762
科研通“疑难数据库(出版商)”最低求助积分说明 716491