Analysis of hierarchical organization in gene expression networks reveals underlying principles of collective tumor cell dissemination and metastatic aggressiveness of inflammatory breast cancer
S. Tripathi, M. K. Jolly, W. A. Woodward, H. Levine, M. W. Deem
Abstract
BackgroundClusters of circulating tumor cells (CTCs), despite being rare, may account for more than 95% of metastases. Cells in these clusters do not undergo a complete epithelial-to-mesenchymal transition (EMT) but retain some epithelial traits as compared to individually disseminating tumor cells. Determinants of single cell dissemination versus collective dissemination remain elusive. Inflammatory breast cancer (IBC), a highly aggressive breast cancer subtype that chiefly metastasizes via CTC clusters, is a promising model for studying mechanisms of collective tumor cell dissemination. Previous studies on breast cancer and adult acute myeloid leukemia, motivated by a theory that suggests physical systems with hierarchical organization tend to be more adaptable, have found that the expression of metastasis associated genes is more hierarchically organized in cases of successful metastases.\n\nMethodsWe used the cophenetic correlation coefficient (CCC) to quantify the hierarchical organization in the expression networks of two distinct gene sets, collective dissemination associated genes and IBC associated genes, in cancer cell lines and in tumor samples from breast cancer patients. Hypothesizing that a higher CCC for collective dissemination associated genes and for IBC associated genes would be associated with a more evident epithelial phenotype and with worse outcomes in breast cancer patients, we evaluated the correlation of CCC with different phenotypic groups.\n\nResultsThe CCC of both gene networks, the collective dissemination associated gene network and the IBC associated gene network, was higher in (a) epithelial cell lines as compared to mesenchymal cell lines and (b) tumor samples from IBC patients, as compared to samples from non-IBC breast cancer patients. A higher CCC of both networks was also correlated with a higher rate of metastatic relapse in breast cancer patients. Neither the levels of CDH1 gene expression, nor gene set enrichment analysis could provide similar insights.\n\nConclusionsThese results suggest that retention of some epithelial traits in disseminating tumor cells as IBC progresses promotes successful breast cancer metastasis to distant organs. The CCC provides additional information regarding the organizational complexity of gene expression in comparison to differential gene expression analyses. We have shown that the CCC may be a useful metric for investigating the collective dissemination phenotype and a prognostic factor for IBC.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility 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
- Inflammatory Breast Cancer: a model for investigating cluster-based dissemination
M. K. Jolly, M. Boareto, … H. Levine·bioRxiv·Mar 22, 2017
- Circulating tumor cell heterogeneity and MMP9 expression in clinical correlation with breast cancer
Man Yi, Cuibin Sun, … Yue Yin·bioRxiv·Jun 30, 2025
- Malignant epithelial diversification and inflammatory neutrophil remodeling define a transitional stage between tumor cell dissemination and overt metastatic outgrowth in breast cancer
Rajneesh Pathania, Brian N. Papas, … Raja Jothi·bioRxiv·Aug 26, 2026
- Correlation Analysis of Breast Cancer Molecular Characteristics and Epithelial-Mesenchymal Transition in Circulating Tumor Cells: Based on Clinical Cases
John Guan, Fuping Li, … Wenbin Zhou·MedicinePeer-reviewed·Nov 21, 2025
- Investigating epithelial-mesenchymal heterogeneity of tumors and circulating tumor cells with transcriptomic analysis and biophysical modeling
F. Bocci, S. Mandal, … M. K. Jolly·bioRxiv·Oct 30, 2020
- Podoplanin-Linked Mesenchymal Shift Synergizes with CCR7 driving Lymphatic Metastasis and Tumor Progression in Breast Cancer
Zhi Wang, Lise Martine Ingebriktsen, … Maria Helena Ulvmar·bioRxiv·Mar 17, 2025