bioRxivCancer Biology
Reclassifying Cancer: Defining tumour cell cycle activity in terms of its tissue of origin in over 13,000 samples
Abstract
Genomic alterations resulting in loss of control over the cell cycle is a fundamental hallmark of human malignancies. Whilst pan-cancer studies have broadly assessed tumour genomics and their impact on oncogenic pathways, analyses taking the baseline signalling levels in normal tissue into account are lacking. To this end, we aimed to reclassify the cell cycle activity of tumours in terms of their tissue of origin and determine the DNA mutations, chromosome arm-level changes and signalling pathways driving cell cycle activity. Combining normal tissue and pan-cancer data from over 13,000 samples we demonstrate that tumours of gynaecological origin show the highest levels of baseline corrected cell cycle activity, partially owing to hormonal signalling and gene expression changes. We also show that normal and tumour tissues can be separated into groups (quadrants) of low/high cell cycle activity and propose the novel hypothesis of an upper limit on these activity levels in tumours.
- organism: human
- assay: whole-genome sequencing
- research focus: cancer & tumor microenvironment
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A pan-cancer analysis of the frequency of DNA alterations across cell cycle activity levels
Arian Lundberg, Linda Sofie Lindström, … Nicholas P. Tobin·OncogenePeer-reviewed·Jun 24, 2020
- Differential phase register of Hes1 oscillations with mitoses underlies cell-cycle heterogeneity in ER+ breast cancer cells.
N. Sabherwal, A. Rowntree, … N. Papalopulu·Proceedings of the National Academy of SciencesPeer-reviewed·Nov 1, 2021
- Comprehensive transcriptomic analysis of cell lines as models of primary tumor samples across 22 tumor types
Katharine Yu, Bin Chen, … Marina Sirota·Nature CommunicationsPeer-reviewed·Aug 8, 2019
- Levels of telomerase in cancer are contingent on senescence and inflammation at bulk tissue and single-cell spatial resolution
Nighat Noureen, Min Hee Kang·bioRxiv·May 21, 2025
- Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin.
Agustín González-Reymúndez, Ana Ines Vazquez·Scientific ReportsPeer-reviewed·May 20, 2020
- Analyzing cancer gene expression data through the lens of normal tissue-specificity
H. R. Frost·bioRxiv·Jan 25, 2021