Evidence map›Paper›PMID 32934773›Full record

ArticleOncotarget2020

Sequencing for an interdisciplinary molecular tumor board in patients with advanced breast cancer: experiences from a case series.

Christina Walter, Andreas Hartkopf, Andre Koch, Marion Klaumünzer, Martin Schulze, Eva-Maria Grischke, Florin-Andrei Taran, Sara Brucker, Florian Battke, Saskia Biskup

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

10 authors at 2 institutions in 1 country.

Christina WalterDepartment of Women's Health, University of Tuebingen, Tuebingen, Germany.
Andreas HartkopfDepartment of Women's Health, University of Tuebingen, Tuebingen, Germany.
Andre KochDepartment of Women's Health, University of Tuebingen, Tuebingen, Germany.
Marion KlaumünzerPraxis fuer Humangenetik and CeGaT GmbH, Tuebingen, Germany.
Martin SchulzePraxis fuer Humangenetik and CeGaT GmbH, Tuebingen, Germany.
Eva-Maria GrischkeDepartment of Women's Health, University of Tuebingen, Tuebingen, Germany.
Florin-Andrei TaranDepartment of Women's Health, University of Tuebingen, Tuebingen, Germany.
Sara BruckerDepartment of Women's Health, University of Tuebingen, Tuebingen, Germany.
Florian BattkePraxis fuer Humangenetik and CeGaT GmbH, Tuebingen, Germany.
Saskia BiskupPraxis fuer Humangenetik and CeGaT GmbH, Tuebingen, Germany.
University of Tübingen · DEPraxis für Humangenetik Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh throughput panel sequencing to tailor therapy in precision oncology promises to improve outcome in patients with metastatic breast cancer. However, data that clearly show any benefit from such an approach is still pending. MATERIALS AND

methodsWe performed a retrospective analysis of advanced breast cancer patients that underwent panel sequencing for suggestion of target related drugs. We aimed to (i) determine the frequency of actionable mutations per patient and to (ii) assess the clinical impact of results on treatment options.

resultsA total of 52 patients underwent panel sequencing of archived tumor tissue. Every sample showed at least one affected gene, accounting for actionable mutations in 45 of 52 patients (87%). New treatment options that would not have been used as indicated by standard predictive markers (such as hormonal receptor status or HER2-status) were found in 22 of 52 patients (42%). We detected therapeutic relevant pathogenic germline variants in 9,6% (5/52) of the patients.

conclusionsUsing a high throughput-panel sequencing approach to identify actionable mutations in patients with metastatic breast cancer, we identified potential target-related treatment options in a large proportion of our patients, some of which would not have been considered without this data. Prospective clinical trials with compounds targeting the identified actionable mutations are needed to determine which treatments can indeed improve survival or quality of life by limiting exposure to ineffective drugs in advanced breast cancer.

Indexed as

actionable mutationsbreast cancergeneticsnext-generation sequencing

Identifiers

PMID32934773
PMCPMC7476733
OpenAlexW3082732368

What OpenQuestion holds

Textmetadata
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.