Evidence map›Paper›PMID 37666855›Full record

ArticleNature communications2023

The Oncology Biomarker Discovery framework reveals cetuximab and bevacizumab response patterns in metastatic colorectal cancer.

Alexander J Ohnmacht, Arndt Stahler, Sebastian Stintzing, Dominik P Modest, Julian W Holch, C Benedikt Westphalen, Linus Hölzel, Marisa K Schübel, Ana Galhoz, Ali Farnoud and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
10.1field-weighted citation impact, top 2% 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

9 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
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  7. Biomarker-Guided Tailored Therapy in Major Depression.Advances in experimental medicine and biology · 2024
    Review
  8. Article
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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

17 authors at 6 institutions in 2 countries.

Alexander J Ohnmacht *Computational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Arndt Stahler *Charité Universitätsmedizin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Hematology, Oncology, and Cancer Immunology, Charitéplatz 1, 10117, Berlin, Germany.
Sebastian Stintzing *Charité Universitätsmedizin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Hematology, Oncology, and Cancer Immunology, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0002-3297-5801
Dominik P ModestCharité Universitätsmedizin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Hematology, Oncology, and Cancer Immunology, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0002-6853-0599
Julian W HolchGerman Cancer Consortium (DKTK), partner sites Berlin and Munich, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
C Benedikt WestphalenDepartment of Medicine III and Comprehensive Cancer Center Munich, University Hospital, Ludwig-Maximilians University Munich, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-5310-3754
Linus HölzelComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Marisa K SchübelComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Ana GalhozComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Ali FarnoudComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Minhaz Ud-DeanComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Ursula Vehling-KaiserOncological Practice, 84028, Landshut, Germany.
Thomas DeckerOncological Practice, 88212, Ravensburg, Germany.
Markus MoehlerDepartment of Medicine I and Research Center for Immunotherapy (FZI), Johannes Gutenberg-University Clinic, 55131, Mainz, Germany.
Matthias HeinigComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany.
Volker HeinemannDepartment of Medicine III and Comprehensive Cancer Center Munich, University Hospital, Ludwig-Maximilians University Munich, 81377, Munich, Germany. volker.heinemann@med.uni-muenchen.de.
Michael P MendenComputational Health Center, Helmholtz Munich, 85764, Neuherberg, Germany. michael.menden@helmholtz-munich.de.ORCID http://orcid.org/0000-0003-0267-5792
Helmholtz Zentrum München · DEGerman Cancer Research Center · DEHumboldt-Universität zu Berlin · DELudwig-Maximilians-Universität München · DEFederation University · AUUniversity of Applied Sciences Landshut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine has revolutionised cancer treatments; however, actionable biomarkers remain scarce. To address this, we develop the Oncology Biomarker Discovery (OncoBird) framework for analysing the molecular and biomarker landscape of randomised controlled clinical trials. OncoBird identifies biomarkers based on single genes or mutually exclusive genetic alterations in isolation or in the context of tumour subtypes, and finally, assesses predictive components by their treatment interactions. Here, we utilise the open-label, randomised phase III trial (FIRE-3, AIO KRK-0306) in metastatic colorectal carcinoma patients, who received either cetuximab or bevacizumab in combination with 5-fluorouracil, folinic acid and irinotecan (FOLFIRI). We systematically identify five biomarkers with predictive components, e.g., patients with tumours that carry chr20q amplifications or lack mutually exclusive ERK signalling mutations benefited from cetuximab compared to bevacizumab. In summary, OncoBird characterises the molecular landscape and outlines actionable biomarkers, which generalises to any molecularly characterised randomised controlled trial.

Indexed as

Colonic NeoplasmsColorectal NeoplasmsRectal NeoplasmsBevacizumabCetuximabClinical Trials, Phase III as TopicHumansRandomized Controlled Trials as TopicBevacizumabCetuximab

Identifiers

PMID37666855
PMCPMC10477267
OpenAlexW4386424465

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.