Evidence map›Paper›PMID 24807215›Full record

ArticleNature communications2014

Integrated exome and transcriptome sequencing reveals ZAK isoform usage in gastric cancer.

Jinfeng Liu, Mark McCleland, Eric W Stawiski, Florian Gnad, Oleg Mayba, Peter M Haverty, Steffen Durinck, Ying-Jiun Chen, Christiaan Klijn, Suchit Jhunjhunwala and 20 more

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
9.1field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Potent therapeutic strategy in gastric cancer with microsatellite instability-high and/or deficient mismatch repair.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. A novel genomic classification system of gastric cancer via integrating multidimensional genomic characteristics.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
    Article
  19. Analysis ofOncology letters · 2021
    Article
  20. Transcriptomic Profiling Identifies a Risk Stratification Signature for Predicting Peritoneal Recurrence and Micrometastasis in Gastric Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    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

30 authors at 3 institutions in 1 country.

Jinfeng LiuDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Mark McClelandDepartment of Pathology, Genentech Inc., South San Francisco, California 94080, USA.
Eric W Stawiski1] Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA [2] Department of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Florian GnadDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Oleg MaybaDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Peter M HavertyDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Steffen Durinck1] Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA [2] Department of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Ying-Jiun ChenDepartment of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Christiaan KlijnDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Suchit JhunjhunwalaDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Michael LawrenceDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Hanbin LiuDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Yinan WanDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Vivek ChopraDepartment of Pathology, Genentech Inc., South San Francisco, California 94080, USA.
Murat B YaylaogluDepartment of Pathology, Genentech Inc., South San Francisco, California 94080, USA.
Wenlin YuanDepartment of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Connie HaDepartment of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Houston N GilbertDepartment of Non-clinical Biostatistics, Genentech Inc., South San Francisco, California 94080, USA.
Jens ReederDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Gregoire PauDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Jeremy StinsonDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Howard M SternDepartment of Pathology, Genentech Inc., South San Francisco, California 94080, USA.
Gerard ManningDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Thomas D WuDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
Richard M NeveDepartment of Discovery Oncology, Genentech Inc., South San Francisco, California 94080, USA.
Frederic J de SauvageDepartment of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Zora ModrusanDepartment of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Somasekar SeshagiriDepartment of Molecular Biology, Genentech Inc., South San Francisco, California 94080, USA.
Ron FiresteinDepartment of Pathology, Genentech Inc., South San Francisco, California 94080, USA.
Zemin ZhangDepartment of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.
University of California, San Francisco · USBiostatistical Consulting (United States) · USSunesis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is the second leading cause of worldwide cancer mortality, yet the underlying genomic alterations remain poorly understood. Here we perform exome and transcriptome sequencing and SNP array assays to characterize 51 primary gastric tumours and 32 cell lines. Meta-analysis of exome data and previously published data sets reveals 24 significantly mutated genes in microsatellite stable (MSS) tumours and 16 in microsatellite instable (MSI) tumours. Over half the patients in our collection could potentially benefit from targeted therapies. We identify 55 splice site mutations accompanied by aberrant splicing products, in addition to mutation-independent differential isoform usage in tumours. ZAK kinase isoform TV1 is preferentially upregulated in gastric tumours and cell lines relative to normal samples. This pattern is also observed in colorectal, bladder and breast cancers. Overexpression of this particular isoform activates multiple cancer-related transcription factor reporters, while depletion of ZAK in gastric cell lines inhibits proliferation. These results reveal the spectrum of genomic and transcriptomic alterations in gastric cancer, and identify isoform-specific oncogenic properties of ZAK.

Indexed as

Base SequenceCell LineCell ProliferationErb-b2 Receptor Tyrosine KinasesGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMAP Kinase Kinase KinasesMicrosatellite InstabilityMicrosatellite RepeatsOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideProtein IsoformsProtein KinasesSequence Analysis, DNAStomach NeoplasmsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMAP3K20 protein, humanMAP Kinase Kinase KinasesProtein IsoformsProtein Kinases

Identifiers

PMID24807215
PMCPMC4024760
OpenAlexW2000174712

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.