A novel genomic classification system of gastric cancer via integrating multidimensional genomic characteristics.

Authors:
Wang H; Ding Y; Chen Y; Jiang J; Chen Y and 21 more

Journal:
Gastric Cancer

Publication Year: 2021

DOI:
10.1007/s10120-021-01201-9

PMCID:
PMC8502137

PMID:
34095982

Journal Information

Full Title: Gastric Cancer

Abbreviation: Gastric Cancer

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Gastroenterology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"the raw data of wes were processed by software tsnad (available on http://github com/jiujiezz/tsnad ) [ ]."

Evidence found in paper:

"the raw data of wes were processed by software tsnad (available on http://github com/jiujiezz/tsnad ) [ ]."

COI Disclosure
Evidence found in paper:

"The authors thank Zheng Ju and Hong Su (from Novogene Bioinformatics Technology Co. Ltd., Beijing, China) for assistance with bioinformatics analyses. The authors greatly thank all the staffs and assistants in the Department of Surgical Oncology, and Liming Xu in the Department of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine for their support in sample collection and immunohistochemistry study. This study was supported by Key Research and Development Program of Science and Technology Department of Zhejiang Province (No. 2018C03022, 2020C03112), Project supported by National Natural Science Foundation of China (No. 81803107), National Health and Family Planning Commission Research Fund & Zhejiang Provincial Medical and Health Major Science and Technology Plan Project (No. KWJ-ZJ-1802), Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Project of the Regional Diagnosis and Treatment Centre of the Health Planning Committee (No. JBZX-201903)."

Protocol Registration
Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025