Literature DB >> 30223068

Single-cell RNA sequencing reveals diverse intratumoral heterogeneities and gene signatures of two types of esophageal cancers.

Hongjin Wu1, Juehua Yu2, Ying Li3, Qiang Hou3, Rongjin Zhou3, Ni Zhang3, Zhao Jing3, Mingfeng Jiang3, Ziwei Li3, Yuhui Hua3, F Charles Brunicardi4, Shixiu Wu5.   

Abstract

Single-cell RNA sequencing and transcriptome analysis enable novel discovery and precise characterization of new cell types and states, which improves the understanding of the cellular context of tumorigenesis. Herein, we applied this powerful approach to analyze 368 single cells from three esophageal squamous cell carcinoma (ESCC) and two esophageal adenocarcinoma (EAC) tumors. Using inferred copy number variation analysis, we successfully distinguished carcinoma cells from heterogeneous cellular populations, identifying gene signatures and crucial cancer-related signaling pathways related to ESCC and EAC. In particular, we found that NOTCH signaling was exclusively activated in ESCC, but not in EAC. ESCC tumors with higher NOTCH activity were associated with significantly worse survival rates than those with lower NOTCH activity. Collectively, this study revealed that ESCC and EAC are distinct in terms of cellular transcriptome profiles, which leads to a wide range of intratumoral cellular heterogeneity. The findings suggest that different therapeutic strategies that target the differences between two types of esophageal cancers are required, guiding cancer-specific future drug development.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Esophageal adenocarcinoma; Esophageal squamous cell carcinoma; NOTCH signaling; Single-cell transcriptome sequencing

Mesh:

Substances:

Year:  2018        PMID: 30223068     DOI: 10.1016/j.canlet.2018.09.017

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  17 in total

1.  Improving Cancer Drug Discovery by Studying Cancer across the Tree of Life.

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Journal:  Mol Biol Evol       Date:  2020-01-01       Impact factor: 16.240

Review 2.  Applications and Achievements of Single-Cell Sequencing in Gastrointestinal Cancer.

Authors:  Zhenliang Xie; Jincheng Li; Pu Huang; Ye Zhang; Jingkuan Yang; Kangdong Liu; Yanan Jiang
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

3.  Characterization of gene cluster heterogeneity in single-cell transcriptomic data within and across cancer types.

Authors:  Khong-Loon Tiong; Yu-Wei Lin; Chen-Hsiang Yeang
Journal:  Biol Open       Date:  2022-06-23       Impact factor: 2.643

4.  Pan-Cancer Single-Cell Analysis Reveals the Core Factors and Pathway in Specific Cancer Stem Cells of Upper Gastrointestinal Cancer.

Authors:  Leijie Li; Yujia Zhang; Yongyong Ren; Zhiwei Cheng; Yuening Zhang; Xinbo Wang; Hongyu Zhao; Hui Lu
Journal:  Front Bioeng Biotechnol       Date:  2022-05-13

5.  Identification of diagnostic markers and lipid dysregulation in oesophageal squamous cell carcinoma through lipidomic analysis and machine learning.

Authors:  Yuyao Yuan; Zitong Zhao; Liyan Xue; Guangxi Wang; Huajie Song; Ruifang Pang; Juntuo Zhou; Jianyuan Luo; Yongmei Song; Yuxin Yin
Journal:  Br J Cancer       Date:  2021-05-05       Impact factor: 7.640

Review 6.  Linking Cancer Stem Cell Plasticity to Therapeutic Resistance-Mechanism and Novel Therapeutic Strategies in Esophageal Cancer.

Authors:  Chenghui Zhou; Ningbo Fan; Fanyu Liu; Nan Fang; Patrick S Plum; René Thieme; Ines Gockel; Sascha Gromnitza; Axel M Hillmer; Seung-Hun Chon; Hans A Schlösser; Christiane J Bruns; Yue Zhao
Journal:  Cells       Date:  2020-06-17       Impact factor: 6.600

Review 7.  Biological Significance of Tumor Heterogeneity in Esophageal Squamous Cell Carcinoma.

Authors:  Lehang Lin; De-Chen Lin
Journal:  Cancers (Basel)       Date:  2019-08-12       Impact factor: 6.639

8.  Population and single‑cell transcriptome analyses reveal diverse transcriptional changes associated with radioresistance in esophageal squamous cell carcinoma.

Authors:  Hongjin Wu; Juehua Yu; Deshengyue Kong; Yu Xu; Zunyue Zhang; Jing Shui; Ziwei Li; Huayou Luo; Kunhua Wang
Journal:  Int J Oncol       Date:  2019-10-14       Impact factor: 5.650

9.  Four transcription profile-based models identify novel prognostic signatures in oesophageal cancer.

Authors:  Tongyan Liu; Panqi Fang; Chencheng Han; Zhifei Ma; Weizhang Xu; Wenjia Xia; Jingwen Hu; Youtao Xu; Lin Xu; Rong Yin; Siwei Wang; Qin Zhang
Journal:  J Cell Mol Med       Date:  2019-11-19       Impact factor: 5.310

10.  Transcriptome sequencing analysis reveals unique and shared antitumor effects of three statins in pancreatic cancer.

Authors:  Cheng Chen; Hongjin Wu; Deshengyue Kong; Yu Xu; Zunyue Zhang; Fengrong Chen; Lei Zou; Ziwei Li; Jin Shui; Huayou Luo; Shi-He Liu; Juehua Yu; Kunhua Wang; F Charles Brunicardi
Journal:  Oncol Rep       Date:  2020-10-15       Impact factor: 3.906

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