Evidence map›Paper›PMID 31038669›Full record

ArticleBioinformatics (Oxford, England)2019

ClinOmicsTrailbc: a visual analytics tool for breast cancer treatment stratification.

Lara Schneider, Tim Kehl, Kristina Thedinga, Nadja Liddy Grammes, Christina Backes, Christopher Mohr, Benjamin Schubert, Kerstin Lenhof, Nico Gerstner, Andreas Daniel Hartkopf and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. TrialView: An AI-powered Visual Analytics System for Temporal Event Data in Clinical Trials.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

16 authors at 6 institutions in 2 countries.

Lara SchneiderCenter for Bioinformatics, Saarbrücken, Germany.
Tim KehlCenter for Bioinformatics, Saarbrücken, Germany.
Kristina ThedingaCenter for Bioinformatics, Saarbrücken, Germany.
Nadja Liddy GrammesCenter for Bioinformatics, Saarbrücken, Germany.
Christina BackesCenter for Bioinformatics, Saarbrücken, Germany.
Christopher MohrQuantitative Biology Center (QBiC), Tübingen, Germany.
Benjamin SchubertDepartment of Systems Biology, Boston, MA, USA.
Kerstin LenhofCenter for Bioinformatics, Saarbrücken, Germany.
Nico GerstnerCenter for Bioinformatics, Saarbrücken, Germany.
Andreas Daniel HartkopfDepartment of Obstetrics and Gynecology, University of Tübingen, Tübingen, Germany.
Markus WallwienerDepartment of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany.
Oliver KohlbacherQuantitative Biology Center (QBiC), Tübingen, Germany.
Andreas KellerCenter for Bioinformatics, Saarbrücken, Germany.
Eckart MeeseCenter for Bioinformatics, Saarbrücken, Germany.
Norbert GrafCenter for Bioinformatics, Saarbrücken, Germany.
Hans-Peter LenhofCenter for Bioinformatics, Saarbrücken, Germany.
Saarland University · DEHarvard University · USHeidelberg University · DEMax Planck Institute for Developmental Biology · DEQuantitative Biology CenterUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationBreast cancer is the second leading cause of cancer death among women. Tumors, even of the same histopathological subtype, exhibit a high genotypic diversity that impedes therapy stratification and that hence must be accounted for in the treatment decision-making process.

resultsHere, we present ClinOmicsTrailbc, a comprehensive visual analytics tool for breast cancer decision support that provides a holistic assessment of standard-of-care targeted drugs, candidates for drug repositioning and immunotherapeutic approaches. To this end, our tool analyzes and visualizes clinical markers and (epi-)genomics and transcriptomics datasets to identify and evaluate the tumor's main driver mutations, the tumor mutational burden, activity patterns of core cancer-relevant pathways, drug-specific biomarkers, the status of molecular drug targets and pharmacogenomic influences. In order to demonstrate ClinOmicsTrailbc's rich functionality, we present three case studies highlighting various ways in which ClinOmicsTrailbc can support breast cancer precision medicine. ClinOmicsTrailbc is a powerful integrated visual analytics tool for breast cancer research in general and for therapy stratification in particular, assisting oncologists to find the best possible treatment options for their breast cancer patients based on actionable, evidence-based results. AVAILABILITY AND IMPLEMENTATION: ClinOmicsTrailbc can be freely accessed at https://clinomicstrail.bioinf.uni-sb.de. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Breast NeoplasmsBreastComputational BiologyFemaleGenomicsHumansPrecision Medicine

Identifiers

PMID31038669
PMCPMC6954665
OpenAlexW2943298444

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.