Evidence map›Paper›PMID 29433456›Full record

ArticleBMC cancer2018

Exome sequencing of primary breast cancers with paired metastatic lesions reveals metastasis-enriched mutations in the A-kinase anchoring protein family (AKAPs).

Una Kjällquist, Rikard Erlandsson, Nicholas P Tobin, Amjad Alkodsi, Ikram Ullah, Gustav Stålhammar, Eva Karlsson, Thomas Hatschek, Johan Hartman, Sten Linnarsson and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Una KjällquistDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden. una.kjallquist@ki.se.ORCID 0000-0002-8123-9261
Rikard ErlandssonDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Nicholas P TobinDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden.
Amjad AlkodsiResearch Programs Unit, Genome-Scale Biology and Medicum, University of Helsinki, Helsinki, Finland.
Ikram UllahDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden.
Gustav StålhammarDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden.
Eva KarlssonDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden.
Thomas HatschekDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden.
Johan HartmanDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden.
Sten LinnarssonDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Jonas BerghDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institute and University Hospital, Stockholm, Sweden.
Karolinska University Hospital · SEKarolinska Institutet · SEUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor heterogeneity in breast cancer tumors is today widely recognized. Most of the available knowledge in genetic variation however, relates to the primary tumor while metastatic lesions are much less studied. Many studies have revealed marked alterations of standard prognostic and predictive factors during tumor progression. Characterization of paired primary- and metastatic tissues should therefore be fundamental in order to understand mechanisms of tumor progression, clonal relationship to tumor evolution as well as the therapeutic aspects of systemic disease.

methodsWe performed full exome sequencing of primary breast cancers and their metastases in a cohort of ten patients and further confirmed our findings in an additional cohort of 20 patients with paired primary and metastatic tumors. Furthermore, we used gene expression from the metastatic lesions and a primary breast cancer data set to study the gene expression of the AKAP gene family.

resultsWe report that somatic mutations in A-kinase anchoring proteins are enriched in metastatic lesions. The frequency of mutation in the AKAP gene family was 10% in the primary tumors and 40% in metastatic lesions. Several copy number variations, including deletions in regions containing AKAP genes were detected and showed consistent patterns in both investigated cohorts. In a second cohort containing 20 patients with paired primary and metastatic lesions, AKAP mutations showed an increasing variant allele frequency after multiple relapses. Furthermore, gene expression profiles from the metastatic lesions (n = 120) revealed differential expression patterns of AKAPs relative to the tumor PAM50 intrinsic subtype, which were most apparent in the basal-like subtype. This pattern was confirmed in primary tumors from TCGA (n = 522) and in a third independent cohort (n = 182).

conclusionSeveral studies from primary cancers have reported individual AKAP genes to be associated with cancer risk and metastatic relapses as well as direct involvement in cellular invasion and migration processes. Our findings reveal an enrichment of mutations in AKAP genes in metastatic breast cancers and suggest the involvement of AKAPs in the metastatic process. In addition, we report an AKAP gene expression pattern that consistently follows the tumor intrinsic subtype, further suggesting AKAP family members as relevant players in breast cancer biology.

Indexed as

Biomarkers, TumorMultigene FamilyMutationA Kinase Anchor ProteinsBreast NeoplasmsCohort StudiesDNA Copy Number VariationsExome SequencingFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesHumansLoss of HeterozygosityNeoplasm MetastasisNeoplasm StagingA Kinase Anchor ProteinsBiomarkers, TumorAKAPA-kinase anchoring proteinsBreast cancerExome sequencingMetastasisSomatic mutations

Identifiers

PMID29433456
PMCPMC5810006
OpenAlexW2790729843

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Registered trials

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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.