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Research Article
Xiaofeng Yang
Department of Urology, First hospital of Shanxi Medical University
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective
The new generation of sequencing technology has been applied to the study of genomic genetic characteristics of urothelial carcinoma for 20 years. Researchers at home and abroad have done a lot of research work. Analyzing and summarizing the research results, we can clarify the genes with high-frequency mutations, which is of great significance for the screening of biomarkers and molecular targets of urothelial carcinoma.
Method
We will adopt the PICOS analysis method of evidence-based medicine; follow the principles of systematic evaluation and meta-analysis; formulate literature retrieval keywords and retrieval strategies; determine the inclusion criteria; and statistically analyze the name, mutation frequency, quantity, and the total number of times in repeated reports of significant mutant genes in the genomic landscape.
Results
A total of 6254 cases of urothelial carcinoma were sequenced in the 27 theses selected. Sequencing methods include whole genome sequencing, whole exome sequencing, and target exome sequencing. 27 genomic landscapes of urothelial carcinoma showed that the number of significant mutant genes was 5-58, with an average of 26 reported in each paper. There were 273 genes with significant mutations in urothelial carcinoma, 65.57% (179 / 273) of which were reported only once and 34.43% (94 / 273) were reported more than twice. The top 7 genes most frequently reported were TP53, PIK3CA, FGFR3, KDM6A, ARID1A , RB1 and STAG2.
Conclusion
There were 273 genes with significant mutations in the genome of urothelial carcinoma, and biomarkers may be selected from 94 genes with high-frequency of mutations.
Keywords
Urothelial carcinoma, Genome, Next generation sequencing, Genomic Landscape, significantly mutated genes
No competing interests reported.
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This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Xiaofeng Yang
Department of Urology, First hospital of Shanxi Medical University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 03 Nov, 2021
No community comments so far
Editor invited
On 02 Nov, 2021
Submission checks complete
On 02 Nov, 2021
First submitted
On 22 Oct, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective
The new generation of sequencing technology has been applied to the study of genomic genetic characteristics of urothelial carcinoma for 20 years. Researchers at home and abroad have done a lot of research work. Analyzing and summarizing the research results, we can clarify the genes with high-frequency mutations, which is of great significance for the screening of biomarkers and molecular targets of urothelial carcinoma.
Method
We will adopt the PICOS analysis method of evidence-based medicine; follow the principles of systematic evaluation and meta-analysis; formulate literature retrieval keywords and retrieval strategies; determine the inclusion criteria; and statistically analyze the name, mutation frequency, quantity, and the total number of times in repeated reports of significant mutant genes in the genomic landscape.
Results
A total of 6254 cases of urothelial carcinoma were sequenced in the 27 theses selected. Sequencing methods include whole genome sequencing, whole exome sequencing, and target exome sequencing. 27 genomic landscapes of urothelial carcinoma showed that the number of significant mutant genes was 5-58, with an average of 26 reported in each paper. There were 273 genes with significant mutations in urothelial carcinoma, 65.57% (179 / 273) of which were reported only once and 34.43% (94 / 273) were reported more than twice. The top 7 genes most frequently reported were TP53, PIK3CA, FGFR3, KDM6A, ARID1A , RB1 and STAG2.
Conclusion
There were 273 genes with significant mutations in the genome of urothelial carcinoma, and biomarkers may be selected from 94 genes with high-frequency of mutations.
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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