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WHOLE TRANSCRIPTOME SEQUENCING ANALYSIS OF PATIENTS WITH ESOPHAGEAL SQUAMOUS CELL CARCINOMA FROM KAZAKHSTAN

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National Laboratory Astana, NAZARBAYEV UNIVERSITY

73

Date: 13-15 May, 2020 Venue: Nur-Sultan city, Kazakhstan

International conference dedicated to 10th anniversary of Center for Life Sciences

"MODERN PERSPECTIVES FOR BIOMEDICAL SCIENCES:

FROM BENCH TO BEDSIDE”

WHOLE TRANSCRIPTOME SEQUENCING ANALYSIS OF PATIENTS WITH ESOPHAGEAL SQUAMOUS CELL CARCINOMA FROM KAZAKHSTAN

A. Sharip1, S.Rakhimova1, A. Molkenov1, U Kozhamkulov1, Y Zhukov2, M Omarov2, A. Akilzhanova1, U. Kairov1*

1National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan,

2Multidisciplinary Medical Center, Nur-Sultan, Kazakhstan.

[email protected]

Introduction: Esophageal cancer is the sixth most common cancer in Kazakhstan, and usually not de- tected until it has progressed to an advanced incurable stage. The predominant histological subtype of esophageal cancer in Kazakhstan is esophageal squamous cell carcinoma (ESCC). The purpose of the project was to identify genetic basis of ESCC by analysing differentially expressed genes (DEGs) from whole transcriptome sequencing of Kazakhstani patients.

Materials and Methods: Tissue samples were obtained from 25 ESCC-affected individuals immedi- ately after Ivor-Lewis esophagectomy from Multidisciplinary Medical Center. Normal esophageal tissue sample were extracted from Atlas of RNA sequencing profiles. Whole transcriptome sequencing was pre- pared and performed following the TruSeq RNA Protocol. STAR software and DESeq2package have been used for mapping and identifying differentially expressed genes (DEGs). Functional analysis of DEGs was performed using various R packages.

Results: The study sized 14 men and 11women, average age of patient 65.5±7.7 years. 88% of the pa- tients were diagnosed with advanced stages T3-T4. Bioinformatics analysis of tumor and normal esoph- ageal tissues identified 34 DEGs (adj. p-value <0.05). We found ten significantly upregulated and two significantly downregulated KEGG pathways (p-value <0.05). Top 300 DEGs were mapped to PPI network and three modules of closely connected nodes were identified. Functional enrichment analysis of these modules showed that “module 1” is significantly associated with immune response, “module 2” is linked with histone functions, and “module 3” is associated with mitotic division and checkpoint.

Conclusion: Most patients diagnosed with late stages T3-T4 with moderate dysplasia, which was the most common histologic subtype of esophageal cancer in Kazakhstani patients High-throughput se- quencing approach allows the comprehensive understanding of molecular pathways involved in esoph- ageal carcinogenesis that could improve diagnosis and treatment strategies.

Acknowledgments: Work was supported by grant projects #AP05134722, #AP05135430 and

#AP05136106 from the Committee Science and Ministry of Education and Science at the Republic of Kazakhstan.

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