Evidence map›Paper›PMID 30194077›Full record

ArticleCancer genomics & proteomics

Copy Number Alterations in Tumor Genomes Deleting Antineoplastic Drug Targets Partially Compensated by Complementary Amplifications.

Ha Vu Tran, Alexandra K Kiemer, Volkhard Helms

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 2 countries.

Ha Vu TranSaarland University, Center for Bioinformatics, Saarbruecken, Germany.
Alexandra K KiemerSaarland University, Department of Pharmacy, Pharmaceutical Biology, Saarbruecken, Germany.
Volkhard HelmsSaarland University, Center for Bioinformatics, Saarbruecken, Germany volkhard.helms@bioinformatik.uni-saarland.de.
Saarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimGenomic DNA copy number alterations (CNAs) are frequent in tumors and have been catalogued by The Cancer Genome Atlas project. Emergence of chemoresistance frequently renders drug therapies ineffective. MATERIALS AND

methodsWe analyzed how CNAs recurrently found in the genomes of TCGA patients of thirty-one tumor types affect protein targets of antineoplastic (AN) agents.

resultsCNA deletions more frequently affected the targets of AN agents than CNA amplifications. Interestingly, in seven tumors we observed signs of compensatory CNAs. For example, in glioblastoma multiforme, two target genes (FLT1, FLT3) of the experimental drug sorafenib were recurrently deleted, whereas another target (KDR) of sorafenib was recurrently amplified. In renal clear cell carcinoma, the target FLT1 of pazopanib, sunitinib, sorafenib, and axitinib was recurrently deleted, whereas FLT4 bound by the same drugs, was recurrently amplified.

conclusionDeletions of AN target proteins can be compensated by amplification of alternative targets.

Indexed as

Antineoplastic AgentsAxitinibCarcinoma, Renal CellDNA Copy Number VariationsDrug Resistance, NeoplasmFemalefms-Like Tyrosine Kinase 3Genome, HumanGlioblastomaHumansImidazolesIndazolesIndolesMaleMolecular Targeted TherapyNiacinamideAntineoplastic AgentsAxitinibFLT1 protein, humanFLT3 protein, humanFLT4 protein, humanfms-Like Tyrosine Kinase 3ImidazolesIndazolesIndolesNiacinamidePhenylurea CompoundsPyrrolesSorafenibSunitinibVascular Endothelial Growth Factor Receptor-1Vascular Endothelial Growth Factor Receptor-3cancer genomechemoresistanceCopy number variationdrug targetThe Cancer Genome Atlas

Identifiers

PMID30194077
PMCPMC6199575
OpenAlexW2891863425

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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.