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Updated: Sep 23, 2025

Generation and Isolation of Cell Cycle-arrested Cells with Complex Karyotypes
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Regulation of protein complex partners as a compensatory mechanism in aneuploid tumors

Gökçe Senger1, Stefano Santaguida1,2, Martin H Schaefer1

  • 1Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.

Elife
|May 16, 2022
PubMed

Insights

Aneuploidy, or chromosome imbalance, impacts tumor proteomes by altering protein expression. Tumors develop compensatory mechanisms to manage this imbalance, influencing patient survival.

Area of Science:

  • Cancer Biology
  • Genomics
  • Proteomics

Background:

  • Aneuploidy, a deviation from the normal chromosome number, is common in human cancers.
  • The precise role of aneuploidy in cancer progression and its impact on the proteome are not fully understood.

Purpose of the Study:

  • To investigate the proteomic consequences of whole-chromosome aneuploidies in human tumors.
  • To identify regulatory mechanisms tumors employ to cope with aneuploidy-induced stoichiometric imbalances.

Main Methods:

  • Integration of multi-omics data, including aneuploidy status, transcriptomics, and proteomics.
  • Analysis of hundreds of The Cancer Genome Atlas/Clinical Proteomic Tumor Analysis Consortium tumor samples.
  • Examination of protein co-abundance and complex stoichiometry in aneuploid tumors.

Main Results:

  • Aneuploidy leads to widespread expression changes, not only on aneuploid chromosomes but also on non-aneuploid ones.
  • Proteins from aneuploid chromosomes show co-abundance with their complex members, with tighter regulation for aggregation-prone proteins.
  • Cellular machinery complexes exhibit functional selection to maintain stoichiometric balance despite aneuploidy.

Conclusions:

  • Tumors utilize post-translational modifications to establish compensatory and functional maintenance mechanisms against aneuploidy.
  • The effectiveness of these mechanisms in managing stoichiometric imbalance correlates with protein degradation pathways and patient survival.
Keywords:
aneuploidycancer biologycomplex stoichiometrycomputational biologyhumanprotein aggregationsystems biology

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