Evidence map›Paper›PMID 32662546›Full record

ArticleCancer science2020

Characterization of tumors with ultralow tumor mutational burden in Japanese cancer patients.

Keiichi Hatakeyama, Takeshi Nagashima, Keiichi Ohshima, Sumiko Ohnami, Shumpei Ohnami, Yuji Shimoda, Akane Naruoka, Koji Maruyama, Akira Iizuka, Tadashi Ashizawa and 4 more

Abstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Molecular features and prognostic factors of locally advanced microsatellite instability-high gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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.

Keiichi HatakeyamaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID https://orcid.org/0000-0001-6000-5899
Takeshi NagashimaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-7261-9908
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-2882-7566
Sumiko OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Shumpei OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Yuji ShimodaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Akane NaruokaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-6401-0318
Koji MaruyamaExperimental Animal Facility, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Akira IizukaImmunotheraphy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tadashi AshizawaImmunotheraphy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tohru MochizukiMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Kenichi UrakamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Yasuto AkiyamaImmunotheraphy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID https://orcid.org/0000-0003-3813-7726
Ken YamaguchiShizuoka Cancer Center, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor mutational burden analysis using whole-exome sequencing highlights features of tumors with various mutations or known driver alterations. Cancers with few changes in the exon regions have unclear characteristics, even though low-mutated tumors are often detected in pan-cancer analysis. In the present study, we analyzed tumors with low tumor mutational burden listed in the Japanese version of The Cancer Genome Atlas, a data set of 5020 primary solid tumors. Our analysis revealed that detection rates of known driver mutations and copy number variation were decreased in samples with tumor mutational burden below 1.0 (ultralow tumor), compared with those in samples with low tumor mutational burden (≤5 mutations/Mb). This trend was also observed in The Cancer Genome Atlas data set. In the ultralow tumor mutational burden tumors, expression analysis showed decreased TP53 inactivation and chromosomal instability. TP53 inactivation frequently correlated with PI3K/mTOR-related gene expression, implying suppression of the PI3K/mTOR pathway in ultralow tumor mutational burden tumors. In common with mutational burden, the T cell-inflamed gene expression profiling signature was a potential marker for prediction of an immune checkpoint inhibitor response, and some ultralow tumor mutational burden tumor populations highly expressed this signature. Our analysis focused on how these tumors could provide insight into tumors with low somatic alteration that are difficult to detect solely using whole-exome sequencing.

Indexed as

AgedBiomarkers, TumorExome SequencingFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsJapanMaleMiddle AgedMutationNeoplasmsPhosphatidylinositol 3-KinasesTOR Serine-Threonine KinasesTumor Suppressor Protein p53Biomarkers, TumorImmune Checkpoint InhibitorsMTOR protein, humanPhosphatidylinositol 3-KinasesTOR Serine-Threonine KinasesTP53 protein, humanTumor Suppressor Protein p53gene expression signatureJapanese Cancer Genome AtlasTMB ultralowTP53 inactivationtumor mutational burden

Identifiers

PMID32662546
PMCPMC7540986

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.