Evidence map›Paper›PMID 29573058›Full record

ReviewCancer science2018

Molecular genomic landscapes of hepatobiliary cancer.

Tatsuhiro Shibata, Yasuhito Arai, Yasushi Totoki

Open access · goldAbstract readReview
In one paragraph

Review in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Article
  8. Review
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  10. Review
  11. Article
  12. Article
  13. Genomic landscape of hepatocarcinogenesis.Journal of human genetics · 2021
    Review
  14. Review
  15. Article
  16. Review
  17. Article
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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

3 authors at 1 institution in 1 country.

Tatsuhiro ShibataLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-0477-210X
Yasuhito AraiDivision of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
Yasushi TotokiDivision of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
Tokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) and biliary tract cancer are more frequent in East Asia including Japan than in Europe or North America. A compilation of 1340 multi-ethnic HCC genomes, the largest cohort ever reported, identified a comprehensive landscape of HCC driver genes, comprised of three core drivers (TP53, TERT, and WNT signaling) and combinations of infrequent alterations in various cancer pathways. In contrast, five core driver genes (TP53, ARID1A, KRAS, SMAD4, and BAP1) with characteristic molecular alterations including fusion transcripts involving fibroblast growth factor receptor 2 and the protein kinase A pathway, and IDH1/2 mutation constituted the biliary tract cancer genomes. Consistent with their heterogeneous epidemiological backgrounds, mutational signatures and combinations of non-core driver genes within these cancer genomes were found to be complex. Integrative analyses of multi-omics data identified molecular classifications of these tumors that are associated with clinical outcome and enrichments of potential therapeutic targets, including immune checkpoint molecules. Translating comprehensive molecular-genomic analysis together with further basic research and international collaborations are highly anticipated for developing precise and better treatments, diagnosis, and prevention of these tumor types.

Indexed as

Gene Regulatory NetworksBiliary Tract NeoplasmsCarcinoma, HepatocellularGenetic Predisposition to DiseaseGenomicsHumansLiver NeoplasmsMutationSignal Transductionbiliary tract cancerdriver genehepatocellular carcinomamolecular classificationmutational signature

Identifiers

PMID29573058
PMCPMC5980207
OpenAlexW2792819082

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.