Evidence map›Paper›PMID 36928600›Full record

ArticleScientific reports2023

Characterization of pancreatic cancer with ultra-low tumor mutational burden.

Taisuke Imamura, Ryo Ashida, Keiichi Ohshima, Katsuhiko Uesaka, Teiichi Sugiura, Katsuhisa Ohgi, Mihoko Yamada, Shimpei Otsuka, Keiichi Hatakeyama, Takeshi Nagashima and 4 more

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. 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
5.1field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 22 citations in OpenAlex.

  1. T cell adaptation in chronic infections and tumors.Cellular & molecular immunology · 2026
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  8. Hsp90Pharmaceuticals (Basel, Switzerland) · 2025
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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.

Taisuke ImamuraDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Sunto-Nagaizumi, Shizuoka, 4118777, Japan.ORCID 0000-0002-5128-6550
Ryo AshidaDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Sunto-Nagaizumi, Shizuoka, 4118777, Japan. r.ashida@scchr.jp.ORCID 0000-0001-8388-0135
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID 0000-0002-2882-7566
Katsuhiko UesakaDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Sunto-Nagaizumi, Shizuoka, 4118777, Japan.
Teiichi SugiuraDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Sunto-Nagaizumi, Shizuoka, 4118777, Japan.ORCID 0000-0001-7163-4084
Katsuhisa OhgiDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Sunto-Nagaizumi, Shizuoka, 4118777, Japan.ORCID 0000-0003-1647-1117
Mihoko YamadaDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Sunto-Nagaizumi, Shizuoka, 4118777, Japan.
Shimpei OtsukaDivision of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Sunto-Nagaizumi, Shizuoka, 4118777, Japan.ORCID 0000-0002-2450-3011
Keiichi HatakeyamaCancer Multiomics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID 0000-0001-6000-5899
Takeshi NagashimaCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.ORCID 0000-0002-7261-9908
Takashi SuginoDivision of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
Kenichi UrakamiCancer Diagnostics Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Yasuto AkiyamaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Ken YamaguchiShizuoka Cancer Center Hospital and Research Institute, Shizuoka, Japan.ORCID 0000-0002-9893-7218
Shizuoka Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In pancreatic cancer (PC), Tumor mutation burden (TMB) has been reported to be lower than in other cancers, with its clinical significance remaining unclear. We analyzed the dataset of whole-exome sequencing and gene expression profiling of 93 resected PC cases. The median TMB was 0.24. The TMB was classified as High (≥ 5.0), Low (< 5.0, ≥ 1.0), or Ultra-low (< 1.0). Nineteen samples (20%) were classified as TMB-low, and 74 (80%) were classified as TMB-ultra-low; no samples were TMB-high. TMB-ultra-low PC had significantly fewer borderline resectable lesions (P = 0.028) and fewer adenosquamous carcinomas (P = 0.003) than TBM-low PC. Furthermore, the TMB-ultra-low PC showed significantly lower detection rates of driver mutations and copy number variations. Microsatellite instability was not significantly correlated with the TMB status. The TMB-ultra-low PC had a significantly better prognosis than TBM-low PC (P = 0.023). A multivariate analysis identified TMB-ultra-low PC as an independent favorable prognostic factor (hazard ratio, 2.11; P = 0.019). A gene expression analysis showed that TMB-ultra-low PC was associated with reduced TP53 inactivation (P = 0.003) and reduced chromosomal instability (P = 0.001) compared to TBM-low PC. TMB-ultra-low PC had specific gene expression signatures and a better prognosis than TMB-low PC.

Indexed as

DNA Copy Number VariationsPancreatic NeoplasmsBiomarkers, TumorHumansMutationPrognosisBiomarkers, Tumor

Identifiers

PMID36928600
PMCPMC10020557
OpenAlexW4327545640

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read128
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.