Evidence map›Paper›PMID 36129397›Full record

ArticleeLife2022

Proteogenomic analysis of cancer aneuploidy and normal tissues reveals divergent modes of gene regulation across cellular pathways.

Pan Cheng, Xin Zhao, Lizabeth Katsnelson, Elaine M Camacho-Hernandez, Angela Mermerian, Joseph C Mays, Scott M Lippman, Reyna Edith Rosales-Alvarez, Raquel Moya, Jasmine Shwetar and 3 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. PARP1 Suppression Drives ROS Resistance in Aneuploid Cancer Cells.bioRxiv : the preprint server for biology · 2026
    Article
  4. Interferon Epsilon Loss Is Elusive 9p21 Link to Immune-Cold Tumors, Resistant to Immune Checkpoint Therapy, and Endogenous CXCL9/10 Induction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
    Review
  5. Article
  6. The Hallmarks of Aneuploidy in Cancer and Congenital Syndromes.Annual review of genomics and human genetics · 2025
    Review
  7. Article
  8. Generation of Monosomy 21q Human iPS Cells by CRISPR/Cas9-Mediated Interstitial Megabase Deletion.Genes to cells : devoted to molecular & cellular mechanisms · 2025
    Article
  9. An Overview of Analytical Approaches to Cancer Proteogenomics.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. A survey of chromosomal instability measures across mechanistic models.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. The two sides of chromosomal instability: drivers and brakes in cancer.Signal transduction and targeted therapy · 2024
    Review
  15. Article
  16. The reckoning of chromosomal instability: past, present, future.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2024
    Review
  17. Review
  18. Chromosome instability and aneuploidy in the mammalian brain.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Review
  19. Disentangling the roles of aneuploidy, chromosomal instability and tumour heterogeneity in developing resistance to cancer therapies.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Review
  20. Compromised Mitotic Fidelity in Human Pluripotent Stem Cells.International journal of molecular sciences · 2023
    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

13 authors at 4 institutions in 2 countries.

Pan Cheng *Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.ORCID https://orcid.org/0000-0002-9093-5066
Xin Zhao *Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.ORCID https://orcid.org/0000-0001-8502-0139
Lizabeth Katsnelson *Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.
Elaine M Camacho-Hernandez *Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.
Angela MermerianInstitute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.
Joseph C MaysInstitute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.
Scott M LippmanMoores Cancer Center, University of California San Diego, La Jolla, United States.
Reyna Edith Rosales-AlvarezWürzburg Institute of Systems Immunology, Max Planck Research Group at the Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Raquel MoyaInstitute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.
Jasmine ShwetarInstitute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.
Dominic GrunWürzburg Institute of Systems Immunology, Max Planck Research Group at the Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
David FenyoInstitute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.ORCID https://orcid.org/0000-0001-5049-3825
Teresa DavoliInstitute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, United States.ORCID https://orcid.org/0000-0003-4116-9745
Institute for Systems Biology · USUniversity of California San Diego · USUniversity of Freiburg · DEUniversity of Würzburg · DE

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Drew R Jones · 1985 to 2026
$83.1M
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical TranslationU24CA210972 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DING, LI, FENYO, DAVID · 2016 to 2020
$3.3M
Training Program in Cell BiologyT32GM136542 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SMITH, SUSAN · 2020 to 2024
$3.0M
Deconstructing and targeting aneuploidy in human cancer - Resubmission - 1R37CA248631 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Teresa Davoli · 2021 to 2026
$2.9M
Studying the Role of Aneuploidy in Cancer Immune EvasionR00CA212621 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DAVOLI, TERESA · 2018 to 2020
$704k
Studying the Role of Aneuploidy in Cancer Immune EvasionK99CA212621 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI DAVOLI, TERESA · 2016 to 2017
$274k
Cancer Research UK C5470/A27144NCI NIH HHS K99 CA212621NCI NIH HHS P30 CA016087NCI NIH HHS R00 CA212621NCI NIH HHS R37 CA248631NCI NIH HHS U24 CA210972NIGMS NIH HHS T32 GM136542
6 · The paper itself

Abstract

How cells control gene expression is a fundamental question. The relative contribution of protein-level and RNA-level regulation to this process remains unclear. Here, we perform a proteogenomic analysis of tumors and untransformed cells containing somatic copy number alterations (SCNAs). By revealing how cells regulate RNA and protein abundances of genes with SCNAs, we provide insights into the rules of gene regulation. Protein complex genes have a strong protein-level regulation while non-complex genes have a strong RNA-level regulation. Notable exceptions are plasma membrane protein complex genes, which show a weak protein-level regulation and a stronger RNA-level regulation. Strikingly, we find a strong negative association between the degree of RNA-level and protein-level regulation across genes and cellular pathways. Moreover, genes participating in the same pathway show a similar degree of RNA- and protein-level regulation. Pathways including translation, splicing, RNA processing, and mitochondrial function show a stronger protein-level regulation while cell adhesion and migration pathways show a stronger RNA-level regulation. These results suggest that the evolution of gene regulation is shaped by functional constraints and that many cellular pathways tend to evolve one predominant mechanism of gene regulation at the protein level or at the RNA level.

Indexed as

NeoplasmsProteogenomicsAneuploidyHumansMembrane ProteinsRNAMembrane ProteinsRNAaneuploidycancercancer biologycomputational biologygene expressionhumanprotein regulationproteogenomicsystems biology

Identifiers

PMID36129397
PMCPMC9491860
OpenAlexW4296569450

What OpenQuestion holds

Textmetadata
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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.