Evidence map›Paper›PMID 26420498›Full record

ArticleScientific reports2015

Characterization of DNA variants in the human kinome in breast cancer.

Divyansh Agarwal, Yuan Qi, Tingting Jiang, Xiuping Liu, Weiwei Shi, Vikram B Wali, Benjamin Turk, Jeffrey S Ross, W Fraser Symmans, Lajos Pusztai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. 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
0.2field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Whole-exome sequencing identifies cancer-associated variants of the endo-lysosomal ion transport channels in the Saudi population.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  2. Article
  3. Protein Kinase Targets in Breast Cancer.International journal of molecular sciences · 2017
    Review
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

11 authors at 3 institutions in 1 country.

Divyansh AgarwalDepartment of Breast Medical Oncology of Yale University, New Haven, CT, USA.
Yuan QiDepartment of Quantitative Sciences of the University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Tingting JiangDepartment of Breast Medical Oncology of Yale University, New Haven, CT, USA.
Xiuping LiuExperimental Therapeutics of the University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Weiwei ShiDepartment of Breast Medical Oncology of Yale University, New Haven, CT, USA.
Vikram B WaliDepartment of Breast Medical Oncology of Yale University, New Haven, CT, USA.
Benjamin TurkDepartment of Pharmacology of Yale University, New Haven, CT, USA.
Jeffrey S RossDepartment of Pathology and Laboratory Medicine, Albany Medical College, Albany, NY, USA.
W Fraser SymmansPathology of the University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Lajos PusztaiDepartment of Breast Medical Oncology of Yale University, New Haven, CT, USA.
Christos HatzisDepartment of Breast Medical Oncology of Yale University, New Haven, CT, USA.
Yale University · USThe University of Texas MD Anderson Cancer Center · USAlbany Medical Center Hospital · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

Kinases play a key role in cancer biology, and serve as potential clinically useful targets for designing cancer therapies. We examined nucleic acid variations in the human kinome and several known cancer-related genes in breast cancer. DNA was extracted from fine needle biopsies of 73 primary breast cancers and 19 metastatic lesions. Targeted sequencing of 518 kinases and 68 additional cancer related genes was performed using the SOLiD sequencing platform. We detected 1561 unique, non-synonymous variants in kinase genes in the 92 cases, and 74 unique variants in 43 kinases that were predicted to have major functional impact on the protein. Three kinase groups--CMGC, STE and TKL--showed greater mutational load in metastatic compared to primary cancer samples, however, after correction for multiple testing the difference was significant only for the TKL group (P = 0.04). We also observed that a higher proportion of histologic grade 1 and 2 cases had high functional impact variants in the SCYL2 gene compared with grade 3 cases. Our findings indicate that individual breast cancers harbor a substantial number of potentially functionally important nucleotide variations in kinase genes, most of which are present in unique combinations and include both somatic and germline functional variants.

Indexed as

Gene Expression Regulation, NeoplasticGenetic VariationTranscriptomeAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansMiddle AgedMutationNeoplasm GradingNeoplasm MetastasisBiomarkers, TumorPhosphotransferases

Identifiers

PMID26420498
PMCPMC4588561
OpenAlexW2418842736

What OpenQuestion holds

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LicenceCC BY
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.