Depiction of the genomic and genetic landscape identifies CCL5 as a protective factor in colorectal neuroendocrine carcinoma

生物 转录组 癌症研究 基因组DNA 遗传学 基因 基因表达
作者
Dong Chen,Xuanwen Bao,Ruyi Zhang,Yongfeng Ding,Min Zhang,Benfeng Li,Hangyu Zhang,Xiaolin Li,Zhou Tong,Lulu Liu,Xiaohu Zhou,Saisai Wang,Xiaofei Cheng,Yi Zheng,Jian Ruan,Weijia Fang,Peng Zhao
出处
期刊:British Journal of Cancer [Springer Nature]
卷期号:125 (7): 994-1002 被引量:21
标识
DOI:10.1038/s41416-021-01501-y
摘要

Colorectal neuroendocrine carcinomas (CRNECs) are highly aggressive tumours with poor prognosis and low incidence. To date, the genomic landscape and molecular pathway alterations have not been elucidated. Tissue sections and clinical information of CRNEC (n = 35) and CR neuroendocrine tumours (CRNETs) (n = 25) were collected as an in-house cohort (2010–2020). Comprehensive genomic and expression panels (AmoyDx® Master Panel) were applied to identify the genomic and genetic alterations of CRNEC. Through the depiction of the genomic landscape and transcriptome profile, we compared the difference between CRNEC and CRNET. Reverse transcription-polymerase chain reaction and immunofluorescence staining were performed to confirm the genetic alterations. High tumour mutation load was observed in CRNEC compared with CRNET. CRNECs showed a “cold” immune landscape and increased endothelial cell activity compared with NETs. Importantly, PAX5 was aberrantly expressed in CRNEC and predicted a poor prognosis of CRNECs. CCL5, a factor that is considered an immunosuppressive factor in several tumour types, was strongly expressed in CRNEC patients with long-term survival and correlated with high CD8+ T cell infiltration. Through the depiction of the genomic landscape and transcriptome profile, we demonstrated alterations in molecular pathways and potential targets for immunotherapy in CRNEC.

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
KinoFreeze完成签到 ,获得积分10
刚刚
jinjin完成签到,获得积分10
2秒前
好的呢多谢大家那我告诉完成签到,获得积分20
2秒前
2秒前
3秒前
3秒前
自由凝天完成签到,获得积分20
4秒前
火的信仰完成签到 ,获得积分10
4秒前
戴衡霞完成签到,获得积分10
4秒前
领导范儿应助杨song采纳,获得10
5秒前
CC完成签到,获得积分10
5秒前
fsy123完成签到,获得积分10
6秒前
7秒前
7秒前
dd发布了新的文献求助10
7秒前
博丽灵梦发布了新的文献求助10
8秒前
zychaos发布了新的文献求助10
10秒前
10秒前
Tina发布了新的文献求助10
10秒前
陈补天完成签到,获得积分10
11秒前
zhongwei2284发布了新的文献求助10
11秒前
平头张完成签到,获得积分10
12秒前
顾矜应助monica采纳,获得10
12秒前
12秒前
14秒前
ZMF发布了新的文献求助10
14秒前
15秒前
15秒前
16秒前
Theprisoners发布了新的文献求助10
17秒前
椰丝Achi发布了新的文献求助10
17秒前
17秒前
qianchong发布了新的文献求助10
18秒前
123完成签到,获得积分10
18秒前
19秒前
ccccccbaibei发布了新的文献求助10
20秒前
852应助zhuquan采纳,获得10
20秒前
21秒前
pancake发布了新的文献求助30
21秒前
科研通AI6.4应助博丽灵梦采纳,获得30
22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
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
Electrode Potentials 550
Handbook Of Synthetic Methodologies And Protocols Of Nanomaterials 500
Trees of tropical Asia : an illustrated guide to diversity 500
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 光电子学 物理化学 电极 基因 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 6983325
求助须知:如何正确求助?哪些是违规求助? 8661775
关于积分的说明 18365236
捐赠科研通 6448318
什么是DOI,文献DOI怎么找? 3094302
关于科研通互助平台的介绍 2151884
邀请新用户注册赠送积分活动 2070426