Evidence map›Paper›PMID 30190792›Full record

ArticleOncotarget2018

RNA based individualized drug selection in breast cancer patients without patient-matched normal tissue.

Michael Forster, Adam Mark, Friederike Egberts, Elisa Rosati, Elke Rodriguez, Martin Stanulla, Dirk Bauerschlag, Christian Schem, Nicolai Maass, Anu Amallraja and 14 more

Abstract read
In one paragraph

Article in Oncotarget, 2018. 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
–field-weighted citation impact
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. 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

24 authors.

Michael ForsterInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Adam MarkInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Friederike EgbertsDepartment of Dermatology, Schleswig-Holstein University Hospital, Kiel, Germany.
Elisa RosatiInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Elke RodriguezDepartment of Dermatology, Schleswig-Holstein University Hospital, Kiel, Germany.
Martin StanullaDepartment of Pediatric Haematology and Oncology, Hannover Medical School, Hannover, Germany.
Dirk BauerschlagDepartment of Gynaecology and Obstetrics, Schleswig-Holstein University Hospital, Kiel, Germany.
Christian SchemMammazentrum Hamburg, Hamburg, Germany.
Nicolai MaassDepartment of Gynaecology and Obstetrics, Schleswig-Holstein University Hospital, Kiel, Germany.
Anu AmallrajaDepartment of Molecular and Experimental Medicine, Avera Cancer Institute, Sioux Falls, SD, USA.
Karla K MurphyPathology, Avera McKennan, Sioux Falls, SD, USA.
Bruce R ProusePathology, Avera McKennan, Sioux Falls, SD, USA.
Raed A SulaimanPathology, Avera McKennan, Sioux Falls, SD, USA.
Brandon M YoungDepartment of Molecular and Experimental Medicine, Avera Cancer Institute, Sioux Falls, SD, USA.
Micaela MathiakDepartment of Pathology, Schleswig-Holstein University Hospital, Kiel, Germany.
Georg Hemmrich-StanisakInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
David EllinghausInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Stephan WeidingerDepartment of Dermatology, Schleswig-Holstein University Hospital, Kiel, Germany.
Philip RosenstielInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Norbert ArnoldInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Brian Leyland-JonesDepartment of Molecular and Experimental Medicine, Avera Cancer Institute, Sioux Falls, SD, USA.
Casey B WilliamsDepartment of Molecular and Experimental Medicine, Avera Cancer Institute, Sioux Falls, SD, USA.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Tobias MeißnerDepartment of Molecular and Experimental Medicine, Avera Cancer Institute, Sioux Falls, SD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile standard RNA expression tests stratify patients into risk groups, RNA-Seq can guide personalized drug selection based on expressed mutations, fusion genes, and differential expression (DE) between tumor and normal tissue. However, patient-matched normal tissue may be unavailable. Additionally, biological variability in normal tissue and technological biases may confound results. Therefore, we present normal expression reference data for two sequencing methods that are suitable for breast biopsies.

resultsWe identified breast cancer related and drug related genes that are expressed uniformly across our normal samples. Large subsets of these genes are identical for formalin fixed paraffin embedded samples and fresh frozen samples. Adipocyte signatures were detected in frozen compared to formalin samples, prepared by surgeons and pathologists, respectively. Gene expression confounded by adipocytes was identified using fat tissue samples. Finally, immune repertoire statistics were obtained for healthy breast, tumor and fat tissues.

conclusionsOur reference data can be used with patient tumor samples that are asservated and sequenced with a matching aforementioned method. Coefficients of variation are given for normal gene expression. Thus, potential drug selection can be based on confidently overexpressed genes and immune repertoire statistics. MATERIALS AND

methodsNormal expression from formalin and frozen healthy breast tissue samples using Roche Kapa RiboErase (total RNA) (19 formalin, 9 frozen) and Illumina TruSeq RNA Access (targeted RNA-Seq, aka TruSeq RNA Exome) (11 formalin, 1 frozen), and fat tissue (6 frozen Access). Tumor DE using 10 formalin total RNA tumor samples and 1 frozen targeted RNA tumor sample.

Indexed as

breast cancer sequencingdrug selectionformalin fixed paraffin embeddedfresh frozennormal RNA expression

Identifiers

PMID30190792
PMCPMC6122351

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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.