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Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma

Esophageal squamous cell carcinoma (ESCC) is a leading malignancy in China with both high incidence and mortality. Towards improving outcomes, clinically-relevant biomarkers are urgently needed for use as prognostic and treatment targets. Herein we applied RNA-seq for deep sequencing of ten matched...

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Autores principales: Liu, Gang, Zhao, Yuan, Chen, Huili, Jia, Jinru, Cheng, Xiaomin, Wang, Fengjie, Ji, Qiang, Thorne, Rick F., Chen, Song, Liu, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171491/
https://www.ncbi.nlm.nih.gov/pubmed/32328183
http://dx.doi.org/10.7150/jca.40850
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author Liu, Gang
Zhao, Yuan
Chen, Huili
Jia, Jinru
Cheng, Xiaomin
Wang, Fengjie
Ji, Qiang
Thorne, Rick F.
Chen, Song
Liu, Xiaoying
author_facet Liu, Gang
Zhao, Yuan
Chen, Huili
Jia, Jinru
Cheng, Xiaomin
Wang, Fengjie
Ji, Qiang
Thorne, Rick F.
Chen, Song
Liu, Xiaoying
author_sort Liu, Gang
collection PubMed
description Esophageal squamous cell carcinoma (ESCC) is a leading malignancy in China with both high incidence and mortality. Towards improving outcomes, clinically-relevant biomarkers are urgently needed for use as prognostic and treatment targets. Herein we applied RNA-seq for deep sequencing of ten matched pairs of ESCC and adjacent non-cancerous tissues (NT) from Chinese patients. Transcriptomic data mapped to approximately 64% of all annotated genes with 2,047 and 708 unigenes being differentially up-regulated and down-regulated, respectively, between ESCCs and NT samples (p<0.05). Dividing cases by pathological grade revealed significant differentially expressed genes (DEG) between ESCC and NT in both low and high differentiation cases (p<0.05) whereas gene expression differences were not significantly different between high and low differentiation ESCC tissues (p=0.053). Moreover, the majority of ESCC and NT tissues formed clusters in principal component analyses. The veracity of the DEG list was validated in a larger cohort of 45 patient samples, with down-regulated CLIC3, up-regulated CLIC4 and unchanged expression of CLIC2 confirmed in ESCC using quantitative PCR and Western blotting. Our data reveal both previously identified ESCC biomarkers along with novel candidates and represent a ready resource of DEGs in ESCC for further investigation.
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spelling pubmed-71714912020-04-23 Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma Liu, Gang Zhao, Yuan Chen, Huili Jia, Jinru Cheng, Xiaomin Wang, Fengjie Ji, Qiang Thorne, Rick F. Chen, Song Liu, Xiaoying J Cancer Research Paper Esophageal squamous cell carcinoma (ESCC) is a leading malignancy in China with both high incidence and mortality. Towards improving outcomes, clinically-relevant biomarkers are urgently needed for use as prognostic and treatment targets. Herein we applied RNA-seq for deep sequencing of ten matched pairs of ESCC and adjacent non-cancerous tissues (NT) from Chinese patients. Transcriptomic data mapped to approximately 64% of all annotated genes with 2,047 and 708 unigenes being differentially up-regulated and down-regulated, respectively, between ESCCs and NT samples (p<0.05). Dividing cases by pathological grade revealed significant differentially expressed genes (DEG) between ESCC and NT in both low and high differentiation cases (p<0.05) whereas gene expression differences were not significantly different between high and low differentiation ESCC tissues (p=0.053). Moreover, the majority of ESCC and NT tissues formed clusters in principal component analyses. The veracity of the DEG list was validated in a larger cohort of 45 patient samples, with down-regulated CLIC3, up-regulated CLIC4 and unchanged expression of CLIC2 confirmed in ESCC using quantitative PCR and Western blotting. Our data reveal both previously identified ESCC biomarkers along with novel candidates and represent a ready resource of DEGs in ESCC for further investigation. Ivyspring International Publisher 2020-04-06 /pmc/articles/PMC7171491/ /pubmed/32328183 http://dx.doi.org/10.7150/jca.40850 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Liu, Gang
Zhao, Yuan
Chen, Huili
Jia, Jinru
Cheng, Xiaomin
Wang, Fengjie
Ji, Qiang
Thorne, Rick F.
Chen, Song
Liu, Xiaoying
Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma
title Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma
title_full Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma
title_fullStr Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma
title_full_unstemmed Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma
title_short Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma
title_sort analysis of differentially expressed genes in a chinese cohort of esophageal squamous cell carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7171491/
https://www.ncbi.nlm.nih.gov/pubmed/32328183
http://dx.doi.org/10.7150/jca.40850
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