Evidence map›Paper›PMID 34572898›Full record

ArticleCancers2021

Identifying New Potential Biomarkers in Adrenocortical Tumors Based on mRNA Expression Data Using Machine Learning.

André Marquardt, Laura-Sophie Landwehr, Cristina L Ronchi, Guido di Dalmazi, Anna Riester, Philip Kollmannsberger, Barbara Altieri, Martin Fassnacht, Silviu Sbiera

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Adrenocortical stem cells in health and disease.Nature reviews. Endocrinology · 2025
    Review
  7. Article
  8. Article
  9. Artificial intelligence in endocrinology: a comprehensive review.Journal of endocrinological investigation · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

9 authors.

André MarquardtComprehensive Cancer Center Mainfranken, University Hospital, University of Würzburg, 97080 Würzburg, Germany.ORCID 0000-0002-2425-7033
Laura-Sophie LandwehrDivision of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97080 Würzburg, Germany.
Cristina L RonchiDivision of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97080 Würzburg, Germany.ORCID 0000-0001-5020-2071
Guido di DalmaziEndocrinology Unit, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Anna RiesterDepartment of Endocrinology, Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-University, 80336 Munich, Germany.ORCID 0000-0003-3231-7435
Philip KollmannsbergerCenter for Computational and Theoretical Biology, University of Würzburg, 97074 Würzburg, Germany.
Barbara AltieriDivision of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97080 Würzburg, Germany.ORCID 0000-0003-2616-3249
Martin FassnachtComprehensive Cancer Center Mainfranken, University Hospital, University of Würzburg, 97080 Würzburg, Germany.ORCID 0000-0001-6170-6398
Silviu SbieraDivision of Endocrinology and Diabetes, University Hospital, University of Würzburg, 97080 Würzburg, Germany.ORCID 0000-0002-6271-5533

Funding

Deutsche Forschungsgemeinschaft 314061271- TRR 205Deutsche Forschungsgemeinschaft FA-466/4-2Deutsche Forschungsgemeinschaft FA-466/8-1Deutsche Forschungsgemeinschaft RO-5435/3-1Deutsche Forschungsgemeinschaft SB52/1-1Deutsche Krebshilfe 70112969Else Kröner-Fresenius-Stiftung 2016_A96Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg Z-14
6 · The paper itself

Abstract

Adrenocortical carcinoma (ACC) is a rare disease, associated with poor survival. Several "multiple-omics" studies characterizing ACC on a molecular level identified two different clusters correlating with patient survival (C1A and C1B). We here used the publicly available transcriptome data from the TCGA-ACC dataset (

Indexed as

adrenocortical carcinomabioinformatic clusteringbiomarker predictionin silico analysismachine learning

Identifiers

PMID34572898
PMCPMC8469239

What OpenQuestion holds

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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.