Evidence map›Paper›PMID 33652667›Full record

ArticleCancers2021

Systematic Identification of MACC1-Driven Metabolic Networks in Colorectal Cancer.

Jan Lisec, Dennis Kobelt, Wolfgang Walther, Margarita Mokrizkij, Carsten Grötzinger, Carsten Jaeger, Katharina Baum, Mareike Simon, Jana Wolf, Nicola Beindorff and 2 more

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
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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

12 authors at 5 institutions in 1 country.

Jan LisecMedical Department of Hematology, Oncology, and Tumor Immunology, and Molekulares Krebsforschungszentrum (MKFZ), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.ORCID 0000-0003-1220-2286
Dennis KobeltGerman Cancer Consortium, Deutsches Krebsforschungzentrum (DKFZ), 69120 Heidelberg, Germany.
Wolfgang WaltherGerman Cancer Consortium, Deutsches Krebsforschungzentrum (DKFZ), 69120 Heidelberg, Germany.
Margarita MokrizkijGerman Cancer Consortium, Deutsches Krebsforschungzentrum (DKFZ), 69120 Heidelberg, Germany.
Carsten GrötzingerGerman Cancer Consortium, Deutsches Krebsforschungzentrum (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0001-9872-3087
Carsten JaegerMedical Department of Hematology, Oncology, and Tumor Immunology, and Molekulares Krebsforschungszentrum (MKFZ), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Katharina BaumHasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, 14482 Potsdam, Germany.ORCID 0000-0001-7256-0566
Mareike SimonMax Delbrück Center for Molecular Medicine in the Helmholtz Association, Mathematical Modeling of Cellular processes, 13125 Berlin, Germany.ORCID 0000-0001-7213-9499
Jana WolfMax Delbrück Center for Molecular Medicine in the Helmholtz Association, Mathematical Modeling of Cellular processes, 13125 Berlin, Germany.
Nicola BeindorffBerlin Experimental Radionuclide Imaging Center (BERIC), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Winfried BrennerGerman Cancer Consortium, Deutsches Krebsforschungzentrum (DKFZ), 69120 Heidelberg, Germany.
Ulrike SteinGerman Cancer Consortium, Deutsches Krebsforschungzentrum (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0001-7006-282X
Max Delbrück Center · DECharité - Universitätsmedizin Berlin · DEHeidelberg University · DEFederal Institute For Materials Research and Testing · DEHasso Plattner Institute · DE

Funding

Charité Universitätsmedizin Berlin 2015
6 · The paper itself

Abstract

MACC1 is a prognostic and predictive metastasis biomarker for more than 20 solid cancer entities. However, its role in cancer metabolism is not sufficiently explored. Here, we report on how MACC1 impacts the use of glucose, glutamine, lactate, pyruvate and fatty acids and show the comprehensive analysis of MACC1-driven metabolic networks. We analyzed concentration-dependent changes in nutrient use, nutrient depletion, metabolic tracing employing

Indexed as

cancer metabolismcolorectal cancerMACC1metabolic networksmetabolic profiling

Identifiers

PMID33652667
PMCPMC7956336
OpenAlexW3135561803

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.