bioRxivGenomicsPreprint
Extensive protein dosage compensation in aneuploid human cancers
Abstract
Aneuploidy is a hallmark of human cancers, but the effects of aneuploidy on protein expression remain poorly understood. To uncover how chromosome copy number changes influence the cancer proteome, we have conducted an analysis of hundreds of human cancer cell lines with matched copy number, RNA expression, and protein expression data. We found that a majority of proteins exhibit dosage compensation and fail to change by the degree expected based on chromosome copy number alone. We uncovered a variety of gene groups that were recurrently buffered upon both chromosome gain and loss, including protein complex subunits and cell cycle genes. Several genetic and biophysical factors were predictive of protein buffering, highlighting complex post-translational regulatory mechanisms that maintain appropriate gene product dosage. Finally, we established that chromosomal aneuploidy has an unexpectedly moderate effect on the expression of oncogenes and tumor suppressors, demonstrating that these key cancer drivers can be subject to dosage compensation as well. In total, our comprehensive analysis of aneuploidy and dosage compensation across cancers will help identify the key driver genes encoded on altered chromosomes and will shed light on the overall consequences of aneuploidy during tumor development.
Abstract summary
Claude Opus 5.5 · xhigh effort · 2 Nov 2026 · from the abstract · CC BY-NC 4.0
Across hundreds of human cancer cell lines, most proteins exhibit dosage compensation against chromosome copy number changes, buffering complex subunits, cell cycle genes, and even oncogenes and tumor suppressors.
Although aneuploidy is a hallmark of human cancers, how chromosome copy number alterations affect protein expression remains poorly understood. Integrating matched copy number, RNA expression, and protein expression across hundreds of human cancer cell lines reveals widespread protein buffering and post-translational dosage compensation.
Key results
ClaimedMost proteins in aneuploid human cancer cell lines exhibit dosage compensation rather than scaling proportionally with chromosome copy number, with recurrent buffering upon both chromosome gain and loss.
Evaluated across hundreds of human cancer cell lines profiling paired DNA copy number, transcript levels, and protein abundance; recurrently buffered groups include protein complex subunits and cell cycle genes (exact cell line count and buffering fractions are not stated in the abstract). · Abstract
ClaimedChromosomal aneuploidy has a moderate effect on the expression of oncogenes and tumor suppressors, indicating that these key cancer driver genes can also undergo dosage compensation.
Evaluated across hundreds of human cancer cell lines; specific oncogenes, tumor suppressors, and effect sizes are not reported in the abstract. · Abstract
ClaimedMultiple genetic and biophysical features predict protein buffering across aneuploid cancer cell lines, pointing to post-translational regulatory mechanisms.
Predictive analysis in the matched multi-omic cancer cell line cohort; specific predictive features and accuracy metrics are not provided in the abstract. · Abstract
Methods, data and reproducibility
Matched chromosome copy number, RNA expression, and protein expression datasets were analyzed across hundreds of human cancer cell lines to quantify protein responses to chromosome gains and losses. Recurrently buffered gene categories, genetic and biophysical predictors of buffering, and dosage compensation of oncogenes and tumor suppressors were evaluated.
- Human cancer cell lines with matched chromosome copy number, RNA expression, and protein expression data · human · n = hundreds of cell lines
- Reproducibility gaps
- Specific source databases, accessions, and analysis code are not mentioned in the abstract.
Limitations (2)
- Analysis is restricted to cultured human cancer cell lines rather than primary patient tumors. · noted in this summary
- Abstract only; exact sample sizes, data sources, quantitative buffering metrics, and predictive model statistics are not reported. · noted in this summary
Read this if you study the functional consequences of aneuploidy in cancer or how post-translational dosage compensation buffers copy number alterations across the proteome.
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