Evidence map›Paper›PMID 34359990›Full record

ArticleCells2021

Plasma Metabolome Profiling Identifies Metabolic Subtypes of Pancreatic Ductal Adenocarcinoma.

Ujjwal Mukund Mahajan, Ahmed Alnatsha, Qi Li, Bettina Oehrle, Frank-Ulrich Weiss, Matthias Sendler, Marius Distler, Waldemar Uhl, Tim Fahlbusch, Elisabetta Goni and 12 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. 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
1.3field-weighted citation impact, top 17% 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, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Understanding the Conundrum of Pancreatic Cancer in the Omics Sciences Era.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. 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

22 authors at 9 institutions in 1 country.

Ujjwal Mukund MahajanDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.
Ahmed AlnatshaDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.
Qi LiDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.
Bettina OehrleDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.
Frank-Ulrich WeissDepartment of Medicine A, University Medicine Greifswald, 17475 Greifswald, Germany.
Matthias SendlerDepartment of Medicine A, University Medicine Greifswald, 17475 Greifswald, Germany.
Marius DistlerDepartment for Visceral, Thoracic and Vascular Surgery, University Hospital, Technical University Dresden, 01307 Dresden, Germany.
Waldemar UhlDepartment of General and Visceral Surgery, Katholisches Klinikum Bochum, 44791 Bochum, Germany.
Tim FahlbuschDepartment of General and Visceral Surgery, Katholisches Klinikum Bochum, 44791 Bochum, Germany.
Elisabetta GoniDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.ORCID 0000-0002-3094-9968
Georg BeyerDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.
Ansgar ChromikDepartment of General and Visceral Surgery, Asklepios Klinikum Hamburg, 21075 Hamburg, Germany.
Markus BahraZentrum für Onkologische Oberbauchchirurgie und Robotik, Krankenhaus Waldfriede, 14163 Berlin, Germany.
Fritz KleinDepartment of General, Visceral and Transplantation Surgery, Charité, Campus Virchow Klinikum, 13353 Berlin, Germany.
Christian PilarskyDepartment of Surgery, Erlangen University Hospital, 91054 Erlangen, Germany.ORCID 0000-0002-7968-3283
Robert GrützmannDepartment of Surgery, Erlangen University Hospital, 91054 Erlangen, Germany.
Markus M LerchUniversity Hospital, LMU Munich, 81377 Munich, Germany.
Kirsten LauberDepartment of Radiation Oncology, LMU Munich, 81377 Munich, Germany.
Nicole ChristiansenTrinamiX GmbH, 67063 Ludwigshafen am Rhein, Germany.
Beate KamlageMetanomics-Health GmbH, 10589 Berlin, Germany.
Ivonne RegelDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.
Julia MayerleDepartment of Medicine II, University Hospital, LMU Munich, 81377 Munich, Germany.
LMU Klinikum · DEUniversitätsmedizin Greifswald · DEKatholisches Klinikum Bochum · DEUniversitätsklinikum Erlangen · DEAsklepios · DECharité - Universitätsmedizin Berlin · DEKrankenhaus Waldfriede · DESyneos Health (Germany) · DETechnische Universität Dresden · DE

Funding

Bundesministerium für Bildung und Forschung 01EK1511ADeutsche Forschungsgemeinschaft DFG RE3754/3-1 and SFB1321/1 (Project P14, 329628492)Förderprogramm für Forschung und Lehre FöFoLe, Reg. Nr.1028Friedrich-Bauer-Stiftung Reg. Nr. 42/17PePPP center of excellence MV ESF/14-BM-A55-0045/16; ESF MVV-630-S-150-2012/132/133Wilhelm Sander-Stiftung 2019.083.1
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers. Developing biomarkers for early detection and chemotherapeutic response prediction is crucial to improve the dismal prognosis of PDAC patients. However, molecular cancer signatures based on transcriptome analysis do not reflect intratumoral heterogeneity. To explore a more accurate stratification of PDAC phenotypes in an easily accessible matrix, plasma metabolome analysis using MxP

Indexed as

MetabolomeMetabolomicsAdenocarcinomaCarcinoma, Pancreatic DuctalCohort StudiesFatty AcidsHumansLipid MetabolismPancreatic NeoplasmsSphingolipidsTranscriptomeFatty AcidsSphingolipidscomplex lipidsmetabolic subtypespancreatic ductal adenocarcinomasphingolipids

Identifiers

PMID34359990
PMCPMC8305839
OpenAlexW3184131695

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.