Evidence map›Paper›PMID 23384775›Full record

ArticleCancer discovery2013

Outlier kinase expression by RNA sequencing as targets for precision therapy.

Vishal Kothari, Iris Wei, Sunita Shankar, Shanker Kalyana-Sundaram, Lidong Wang, Linda W Ma, Pankaj Vats, Catherine S Grasso, Dan R Robinson, Yi-Mi Wu and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer discovery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. DNA-Dependent Protein Kinase Drives Prostate Cancer Progression through Transcriptional Regulation of the Wnt Signaling Pathway.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 2 countries.

Vishal KothariMichigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA.
Iris Wei
Sunita Shankar
Shanker Kalyana-Sundaram
Lidong Wang
Linda W Ma
Pankaj Vats
Catherine S Grasso
Dan R Robinson
Yi-Mi Wu
Xuhong Cao
Diane M Simeone
Arul M Chinnaiyan
Chandan Kumar-Sinha
Bharathidasan University · INUniversity of Michigan–Ann Arbor · USHoward Hughes Medical Institute · USMichigan Center for Translational Pathology · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Translational Research in GI CancerP50CA130810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENNER, DEAN E. · 2010 to 2016
$11.8M
University of Michigan Surgical Oncology Research Training ProgramT32CA009672 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JACQUELINE SARA JERUSS, WEIPING ZOU · 1991 to 2026
$6.0M
Early Detection Biomarkers in Pancreatic AdenocarcinomaR01CA131045 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SIMEONE, DIANE M · 2008 to 2019
$3.2M
High Throughput Transcriptome Sequencing for Systematic Detection of Recurrent TrR21CA155992 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KUMAR-SINHA, CHANDAN · 2011 to 2012
$372k
Howard Hughes Medical InstituteNCI NIH HHS NIH 2T32CA009672-21NCI NIH HHS NIH 5-R21-CA-155992-02NCI NIH HHS NIH P50CA130810-1ANCI NIH HHS NIH R01CA131045-01NCI NIH HHS P50 CA130810NCI NIH HHS R01 CA131045NCI NIH HHS R21 CA155992NCI NIH HHS T32 CA009672
6 · The paper itself

Abstract

Protein kinases represent the most effective class of therapeutic targets in cancer; therefore, determination of kinase aberrations is a major focus of cancer genomic studies. Here, we analyzed transcriptome sequencing data from a compendium of 482 cancer and benign samples from 25 different tissue types, and defined distinct "outlier kinases" in individual breast and pancreatic cancer samples, based on highest levels of absolute and differential expression. Frequent outlier kinases in breast cancer included therapeutic targets like ERBB2 and FGFR4, distinct from MET, AKT2, and PLK2 in pancreatic cancer. Outlier kinases imparted sample-specific dependencies in various cell lines, as tested by siRNA knockdown and/or pharmacologic inhibition. Outlier expression of polo-like kinases was observed in a subset of KRAS-dependent pancreatic cancer cell lines, and conferred increased sensitivity to the pan-PLK inhibitor BI-6727. Our results suggest that outlier kinases represent effective precision therapeutic targets that are readily identifiable through RNA sequencing of tumors.

Indexed as

AnimalsCell Line, TumorErb-b2 Receptor Tyrosine KinasesGene Expression ProfilingGene Knockdown TechniquesHumansMaleMiceMice, Inbred NODMice, SCIDMolecular Targeted TherapyNeoplasmsPancreatic NeoplasmsProtein Kinase InhibitorsProtein KinasesProto-Oncogene ProteinsErb-b2 Receptor Tyrosine KinasesFGFR4 protein, humanKRAS protein, humanProtein Kinase InhibitorsProtein KinasesProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsReceptor, Fibroblast Growth Factor, Type 4

Identifiers

PMID23384775
PMCPMC3597439
OpenAlexW2155185697

What OpenQuestion holds

Textmetadata
LicenceTDM
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.