ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma

被引:22
|
作者
Tungekar, Asna [1 ,2 ]
Mandarthi, Sumana [1 ,3 ]
Mandaviya, Pooja Rajendra [1 ,2 ]
Gadekar, Veerendra P. [1 ,2 ,10 ]
Tantry, Ananthajith [1 ,4 ]
Kotian, Sowmya [1 ,2 ]
Reddy, Jyotshna [1 ,2 ]
Prabha, Divya [1 ]
Bhat, Sushma [1 ,2 ]
Sahay, Sweta [1 ]
Mascarenhas, Roshan [1 ,2 ,9 ]
Badkillaya, Raghavendra Rao [1 ,11 ]
Nagasampige, Manoj Kumar [1 ,12 ]
Yelnadu, Mohan [1 ,4 ,6 ]
Pawar, Harsh [7 ]
Hebbar, Prashantha [1 ,2 ]
Kashyap, Manoj Kumar [1 ,5 ,8 ]
机构
[1] Mbiomics, Manipal, Karnataka, India
[2] Manipal Univ, Manipal Life Sci Ctr, Manipal, Karnataka, India
[3] Manipal Univ, Kasturba Med Coll, Dept Biochem, Manipal, Karnataka, India
[4] Manipal Univ, Manipal Ctr Informat Sci, Manipal, Karnataka, India
[5] Shoolini Univ Biotechnol & Management Sci, Fac Appl Sci & Biotechnol, Solan 173229, Himachal Prades, India
[6] Infosys Technol Ltd, Bangalore, Karnataka, India
[7] Technion Israel Inst Technol, Fac Biol, IL-3200003 Haifa, Israel
[8] Glocal Univ, Sch Life & Allied Hlth Sci, Saharanpur 247001, Uttar Pradesh, India
[9] Newcastle Univ Med Malaysia, Johor Baharu 79200, Malaysia
[10] Univ Vienna, Inst Theoret Chem, Wahringerstr 17, A-1090 Vienna, Austria
[11] Alvas Coll, Dept Biotechnol, Moodubidre, Karnataka, India
[12] Sikkim Manipal Univ, Dept Biotechnol, Gangtok 737102, Sikkim, India
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
SINGLE NUCLEOTIDE POLYMORPHISMS; CPG ISLAND HYPERMETHYLATION; GENE-EXPRESSION PROFILES; GROWTH-FACTOR RECEPTOR; FALSE DISCOVERY RATE; RISK-FACTORS; BARRETTS-ESOPHAGUS; PATHWAY GENES; UP-REGULATION; CANCER;
D O I
10.1038/s41598-018-30579-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Esophageal cancer (EC) is the eighth most aggressive malignancy and its treatment remains a challenge due to the lack of biomarkers that can facilitate early detection. EC is identified in two major histological forms namely - Adenocarcinoma (EAC) and Squamous cell carcinoma (ESCC), each showing differences in the incidence among populations that are geographically separated. Hence the detection of potential drug target and biomarkers demands a population-centric understanding of the molecular and cellular mechanisms of EC. To provide an adequate impetus to the biomarker discovery for ESCC, which is the most prevalent esophageal cancer worldwide, here we have developed ESCC ATLAS, a manually curated database that integrates genetic, epigenetic, transcriptomic, and proteomic ESCC-related genes from the published literature. It consists of 3475 genes associated to molecular signatures such as, altered transcription (2600), altered translation (560), contain copy number variation/structural variations (233), SNPs (102), altered DNA methylation (82), Histone modifications (16) and miRNA based regulation (261). We provide a user-friendly web interface (http://www. esccatlas. org, freely accessible for academic, non-profit users) that facilitates the exploration and the analysis of genes among different populations. We anticipate it to be a valuable resource for the population specific investigation and biomarker discovery for ESCC.
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页数:15
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