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ARTICLE https://doi.org/10.1038/s41467022310553OPENRecurrent somatic mutations as predictors of immunotherapy response1234567890():,;Zoran Z. Gajic 1,2,3, Aditya Deshpande1,4,5, Mateusz Legut Neville
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Obtain the list of mutations found in multiple samples from the same type of cancer.
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Identify the mutations that occur at a frequency higher than expected by chance.
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Choose the most significant recurrent somatic mutations based on statistical analysis.
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Fill out the recurrent somatic mutations in the specified format or database.

Who needs recurrent somatic mutations as?

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Oncologists and cancer researchers who are studying tumor genetics and looking for common mutations that drive cancer progression.
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Pharmaceutical companies developing targeted therapies for specific mutations found in cancer patients.
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Bioinformaticians and computational biologists analyzing large datasets to uncover patterns of mutations across different cancer types.
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Recurrent somatic mutations are genetic alterations that occur in multiple tumor samples.
Researchers and clinicians working with tumor samples are typically required to report recurrent somatic mutations.
Recurrent somatic mutations are typically reported using bioinformatics tools and databases that analyze DNA sequencing data.
The purpose of reporting recurrent somatic mutations is to identify common genetic changes across different tumor samples, which can provide insights into cancer development and potential treatment options.
Information such as the type of mutation, frequency of occurrence, and any known association with cancer development must be reported on recurrent somatic mutations.
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