Evidence map›Paper›PMID 39396060›Full record

ArticleScientific reports2024

Evaluation of whole genome sequencing utility in identifying driver alterations in cancer genome.

Takeshi Nagashima, Ken Yamaguchi, Kenichi Urakami, Yuji Shimoda, Sumiko Ohnami, Keiichi Ohshima, Tomoe Tanabe, Akane Naruoka, Fukumi Kamada, Masakuni Serizawa and 28 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

38 authors.

Takeshi NagashimaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Ken YamaguchiShizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan. k.yamaguchi@scchr.jp.
Kenichi UrakamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Yuji ShimodaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Sumiko OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tomoe TanabeCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Akane NaruokaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Fukumi KamadaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Masakuni SerizawaDrug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Keiichi HatakeyamaCancer Multiomics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Shumpei OhnamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Koji MaruyamaExperimental Animal Facility, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tohru MochizukiMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Maki MizuguchiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Akio ShiomiDivision of Colon and Rectal Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yasuhisa OhdeDivision of Thoracic Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Etsuro BandoDivision of Gastric Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Teiichi SugiuraDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Takashi MukaigawaDivision of Head and Neck Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Seiichiro NishimuraDivision of Breast Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yasuyuki HirashimaDivision of Gynecology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Koichi MitsuyaDivision of Neurosurgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Shusuke YoshikawaDivision of Dermatology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yoshio KiyoharaDivision of Dermatology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yasuhiro TsubosaDivision of Esophageal Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Hirohisa KatagiriDivision of Orthopedic Oncology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Masashi NiwakawaDivision of Urology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Kaoru TakahashiDivision of Breast Oncology Center, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Hiroya KashiwagiDivision of Ophthalmology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yoshichika YasunagaDivision of Plastic and Reconstructive Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yuji IshidaDivision of Pediatrics, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Takashi SuginoDivision of Pathology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Hirotsugu KenmotsuDivision of Genetic Medicine Promotion, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Masanori TerashimaShizuoka Cancer Center Hospital, Shizuoka, Japan.
Mitsuru TakahashiShizuoka Cancer Center Hospital, Shizuoka, Japan.
Katsuhiko UesakaShizuoka Cancer Center Hospital, Shizuoka, Japan.
Yasuto AkiyamaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cancer genome analysis, identifying pathogenic alterations and assessing their effects on oncogenic processes is important. Although whole exome sequencing (WES) can effectively detect such changes, driver alterations could not be identified in 27.8% of the cases, according to a previous study. The objectives of the present study were to evaluate the utility of whole genome sequencing (WGS) and clarify its differences with WES in terms of driver alteration detection. For this purpose, WGS analysis was conducted on 177 driverless WES samples, selected from 5,480 fresh frozen samples derived from 5,140 Japanese patients with cancer. These samples were selected as primary tumor, both WES and transcriptome profiling were performed, estimated tumor content of ≥ 30%, and no driver alterations were identified by WES. WGS identified driver and likely driver alterations in 68.4 and 22.6% of the samples, respectively. The most frequent alteration type was oncogene amplification, followed by tumor suppressor gene deletion and small variants located outside the coding region. In the remaining 9.0% of samples, no such signals were identified; therefore, further investigations are required. The current study clearly demonstrated the role and utility of WGS in identifying genomic alterations that contribute to tumorigenesis.

Indexed as

Exome SequencingNeoplasmsWhole Genome SequencingFemaleGene Expression ProfilingGenome, HumanGenomicsHumansMaleMutationOncogenesCancer genome analysisDriver alterationGene expression profilingWhole genome sequencing

Identifiers

PMID39396060
PMCPMC11470963

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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.