Evidence map›Paper›PMID 32967325›Full record

ArticleCancers2020

Mass Spectrometry Imaging for Reliable and Fast Classification of Non-Small Cell Lung Cancer Subtypes.

Mark Kriegsmann, Christiane Zgorzelski, Rita Casadonte, Kristina Schwamborn, Thomas Muley, Hauke Winter, Martin Eichhorn, Florian Eichhorn, Arne Warth, Soeren-Oliver Deininger and 9 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. A new deep learning framework to process Matrix-assisted Laser Desorption/Ionisation Mass Spectrometry Imaging (MALDI-MSI) data of Tissue Microarrays (TMAs).AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Drug Discovery in Liver Disease Using Kinome Profiling.International journal of molecular sciences · 2021
    Review
  15. 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

19 authors at 6 institutions in 2 countries.

Mark KriegsmannInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-7319-3646
Christiane ZgorzelskiInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, Germany.
Rita CasadonteProteopath Trier, 54296 Trier, Germany.ORCID 0000-0002-9054-4786
Kristina SchwambornInstitute of Pathology, TU Munich, 81675 Munich, Germany.
Thomas MuleyTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, Germany.ORCID 0000-0002-8141-0604
Hauke WinterTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, Germany.
Martin EichhornTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, Germany.
Florian EichhornTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, Germany.
Arne WarthInstitute of Pathology, Cytopathology, and Molecular Pathology, UEGP Gießen/Wetzlar/Limburg, 35578 Wetzlar, Germany.
Soeren-Oliver DeiningerBruker Daltonik, 28359 Bremen, Germany.
Petros ChristopoulosTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, Germany.ORCID 0000-0002-7966-8980
Michael ThomasTranslational Lung Research Centre Heidelberg, Member of the German Centre for Lung Research (DZL), 69120 Heidelberg, Germany.
Thomas LongerichInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, Germany.
Albrecht StenzingerInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, Germany.
Wilko WeichertInstitute of Pathology, TU Munich, 81675 Munich, Germany.
Carsten Müller-TidowDepartment of Hematology, Oncology and Rheumatology, University of Heidelberg, 69120 Heidelberg, Germany.
Jörg KriegsmannProteopath Trier, 54296 Trier, Germany.
Peter SchirmacherInstitute of Pathology, University of Heidelberg, 69120 Heidelberg, Germany.
Katharina KriegsmannDepartment of Hematology, Oncology and Rheumatology, University of Heidelberg, 69120 Heidelberg, Germany.
Heidelberg University · DEBruker (Germany) · DEDanaher (Germany) · DEDanube Private University · ATGerman Cancer Research Center · DETrier University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subtyping of non-small cell lung cancer (NSCLC) is paramount for therapy stratification. In this study, we analyzed the largest NSCLC cohort by mass spectrometry imaging (MSI) to date. We sought to test different classification algorithms and to validate results obtained in smaller patient cohorts. Tissue microarrays (TMAs) from including adenocarcinoma (ADC,

Indexed as

lung cancermass spectrometrymass spectrometry imagingNSCLC

Identifiers

PMID32967325
PMCPMC7564257
OpenAlexW3087222514

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.