Mutational concordance analysis provides supportive information for double cancer diagnosis.


Journal

BMC cancer
ISSN: 1471-2407
Titre abrégé: BMC Cancer
Pays: England
ID NLM: 100967800

Informations de publication

Date de publication:
19 Feb 2021
Historique:
received: 14 11 2020
accepted: 09 02 2021
entrez: 20 2 2021
pubmed: 21 2 2021
medline: 19 5 2021
Statut: epublish

Résumé

Mutation analysis using next-generation sequencing highlights the features of tumors with somatic alterations. However, the mutation profile of double cancer remains unclear. Here, we analyzed tumors derived from the same patient using whole exome sequencing (WES) to investigate the coherence of somatic mutations in double cancer. First, the tumor mutational burden (TMB) was investigated using WES of 5521 tumor specimens from a Japanese pan-cancer cohort. The frequencies of mutation concordance were then compared in these cancers. Finally, we calculated the expected value of mutational concordance fitting a Poisson distribution to determine the relationship between double and metastatic cancers. In all, 44, 58, and 121 paired samples were diagnosed as double cancer, multifocal lesions (derived from identical tissues), and metastasis, respectively. Our analysis revealed that common somatic mutations were almost entirely absent in double cancer, whereas primary tumors and metastatic foci harbored several identical alterations. Concordance of the mutation profile in the same patient reflects the tumor origin and development, suggesting the potential for identifying double cancer based on common somatic mutations. Furthermore, according to a Poisson distribution, double cancer could be discriminated based on paired samples from the same patient. The probability of double cancer with more than 10 mutations was ≤1 part-per-billion (ppb, 10 These findings indicate that counting common somatic mutations can indicate the differences in origin between tumors derived from the same patient. Our mutation coherence analysis can thus provide beneficial information for diagnosing double cancer.

Sections du résumé

BACKGROUND BACKGROUND
Mutation analysis using next-generation sequencing highlights the features of tumors with somatic alterations. However, the mutation profile of double cancer remains unclear. Here, we analyzed tumors derived from the same patient using whole exome sequencing (WES) to investigate the coherence of somatic mutations in double cancer.
METHODS METHODS
First, the tumor mutational burden (TMB) was investigated using WES of 5521 tumor specimens from a Japanese pan-cancer cohort. The frequencies of mutation concordance were then compared in these cancers. Finally, we calculated the expected value of mutational concordance fitting a Poisson distribution to determine the relationship between double and metastatic cancers.
RESULTS RESULTS
In all, 44, 58, and 121 paired samples were diagnosed as double cancer, multifocal lesions (derived from identical tissues), and metastasis, respectively. Our analysis revealed that common somatic mutations were almost entirely absent in double cancer, whereas primary tumors and metastatic foci harbored several identical alterations. Concordance of the mutation profile in the same patient reflects the tumor origin and development, suggesting the potential for identifying double cancer based on common somatic mutations. Furthermore, according to a Poisson distribution, double cancer could be discriminated based on paired samples from the same patient. The probability of double cancer with more than 10 mutations was ≤1 part-per-billion (ppb, 10
CONCLUSIONS CONCLUSIONS
These findings indicate that counting common somatic mutations can indicate the differences in origin between tumors derived from the same patient. Our mutation coherence analysis can thus provide beneficial information for diagnosing double cancer.

Identifiants

pubmed: 33607950
doi: 10.1186/s12885-021-07899-1
pii: 10.1186/s12885-021-07899-1
pmc: PMC7893960
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

181

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Auteurs

Keiichi Hatakeyama (K)

Medical Genetics Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan. k.hatakeyama@scchr.jp.

Takeshi Nagashima (T)

Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.
SRL Inc., Shinjuku-ku, Tokyo, 163-0409, Japan.

Akifumi Notsu (A)

Clinical Research Center, Shizuoka Cancer Center, Sunto-gun, Shizuoka, 411-8777, Japan.

Keiichi Ohshima (K)

Medical Genetics Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Sumiko Ohnami (S)

Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Shumpei Ohnami (S)

Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Yuji Shimoda (Y)

Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.
SRL Inc., Shinjuku-ku, Tokyo, 163-0409, Japan.

Akane Naruoka (A)

Drug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Koji Maruyama (K)

Experimental Animal Facility, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Akira Iizuka (A)

Immunotheraphy Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Tadashi Ashizawa (T)

Immunotheraphy Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Hirotsugu Kenmotsu (H)

Division of Genetic Medicine Promotion, Shizuoka Cancer Center, Sunto-gun, Shizuoka, 411-8777, Japan.

Tohru Mochizuki (T)

Medical Genetics Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Kenichi Urakami (K)

Cancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Yasuto Akiyama (Y)

Immunotheraphy Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, 411-8777, Japan.

Ken Yamaguchi (K)

Shizuoka Cancer Center, Sunto-gun, Shizuoka, 411-8777, Japan.

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Classifications MeSH