Evidence map›Paper›PMID 31152682›Full record

ArticleCancer science2019

Mutational burden and signatures in 4000 Japanese cancers provide insights into tumorigenesis and response to therapy.

Keiichi Hatakeyama, Takeshi Nagashima, Keiichi Ohshima, Sumiko Ohnami, Shumpei Ohnami, Yuji Shimoda, Masakuni Serizawa, Koji Maruyama, Akane Naruoka, Yasuto Akiyama and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Keiichi HatakeyamaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.ORCID https://orcid.org/0000-0001-6000-5899
Takeshi NagashimaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Sumiko OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Shumpei OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Yuji ShimodaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Masakuni SerizawaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Koji MaruyamaExperimental Animal Facility, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Akane NaruokaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.ORCID https://orcid.org/0000-0002-6401-0318
Yasuto AkiyamaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Kenichi UrakamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Masatoshi KusuharaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Tohru MochizukiMedical Genetics Division, Shizuoka Cancer Center Research Institute, Nagaizumi, Japan.
Ken YamaguchiShizuoka Cancer Center, Nagaizumi, Japan.
Shizuoka Cancer Center · JP

Funding

Shizuoka Prefectural Government
6 · The paper itself

Abstract

Tumor mutational burden (TMB) and mutational signatures reflect the process of mutation accumulation in cancer. However, the significance of these emerging characteristics remains unclear. In the present study, we used whole-exome sequencing to analyze the TMB and mutational signature in solid tumors of 4046 Japanese patients. Eight predominant signatures-microsatellite instability, smoking, POLE, APOBEC, UV, mismatch repair, double-strand break repair, and Signature 16-were observed in tumors with TMB higher than 1.0 mutation/Mb, whereas POLE and UV signatures only showed moderate correlation with TMB, suggesting the extensive accumulation of mutations due to defective POLE and UV exposure. The contribution ratio of Signature 16, which is associated with hepatocellular carcinoma in drinkers, was increased in hypopharynx cancer. Tumors with predominant microsatellite instability signature were potential candidates for treatment with immune checkpoint inhibitors such as pembrolizumab and were found in 2.8% of cases. Furthermore, based on microarray analysis, tumors with predominant signatures were classified into 2 subgroups depending on the expression of immune-related genes reflecting differences in the immune context of the tumor microenvironment. Tumor subpopulations differing in the content of infiltrating immune cells might respond differently to immunotherapeutics. An understanding of cancer characteristics based on TMB and mutational signatures could provide new insights into mutation-driven tumorigenesis.

Indexed as

CarcinogenesisDNA Mismatch RepairDNA RepairExome SequencingGenome, HumanHigh-Throughput Nucleotide SequencingHumansJapanMicrosatellite InstabilityMutationNeoplasmsTumor BurdenTumor Microenvironmentgene expressionimmune checkpoint blockademutational signaturetumor microenvironmenttumor mutational burden

Identifiers

PMID31152682
PMCPMC6676127
OpenAlexW2947876098

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.