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Breast cancers that disseminate to bone marrow acquire aggressive phenotypes through CX43-related tumor-stroma tunnels
Saptarshi Sinha, Brennan W. Callow, Alex P. Farfel, Suchismita Roy, Siyi Chen, Maria Masotti, Shrila Rajendran, Johanna M. Buschhaus, Celia R. Espinoza, Kathryn E. Luker, Pradipta Ghosh, Gary D. Luker
Saptarshi Sinha, Brennan W. Callow, Alex P. Farfel, Suchismita Roy, Siyi Chen, Maria Masotti, Shrila Rajendran, Johanna M. Buschhaus, Celia R. Espinoza, Kathryn E. Luker, Pradipta Ghosh, Gary D. Luker
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Research Article Oncology

Breast cancers that disseminate to bone marrow acquire aggressive phenotypes through CX43-related tumor-stroma tunnels

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Abstract

Estrogen receptor-positive (ER+) breast cancer commonly disseminates to bone marrow, where interactions with mesenchymal stromal cells (MSCs) shape disease trajectory. We modeled these interactions with tumor-MSC co-cultures and used an integrated transcriptome-proteome-network-analyses workflow to identify a comprehensive catalog of contact-induced changes. Conditioned media from MSCs failed to recapitulate genes and proteins, some borrowed and others tumor-intrinsic, induced in cancer cells by direct contact. Protein-protein interaction networks revealed the rich connectome between “borrowed” and “intrinsic” components. Bioinformatics prioritized one of the borrowed components, CCDC88A/GIV, a multi-modular metastasis-related protein that has recently been implicated in driving a hallmark of cancer, growth signaling autonomy. MSCs transferred GIV protein to ER+ breast cancer cells (that lack GIV) through tunnelling nanotubes via connexin (Cx)43-facilitated intercellular transport. Reinstating GIV alone in GIV-negative breast cancer cells reproduced approximately 20% of both the borrowed and the intrinsic gene induction patterns from contact co-cultures; conferred resistance to anti-estrogen drugs; and enhanced tumor dissemination. Findings provide a multiomic insight into MSC→tumor cell intercellular transport and validate how transport of one such candidate, GIV, from the haves (MSCs) to have-nots (ER+ breast cancer) orchestrates aggressive disease states.

Authors

Saptarshi Sinha, Brennan W. Callow, Alex P. Farfel, Suchismita Roy, Siyi Chen, Maria Masotti, Shrila Rajendran, Johanna M. Buschhaus, Celia R. Espinoza, Kathryn E. Luker, Pradipta Ghosh, Gary D. Luker

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Figure 5

Integration of 2D and 3D co-culture–derived omics pinpoints GIV as a central orchestrator of the co-culture borrowed gene signature.

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Integration of 2D and 3D co-culture–derived omics pinpoints GIV as a cen...
(A) The 158 borrowed genes from our 2D co-cultures were further filtered using a public dataset from 3D co-cultures of MCF7 and T47D cells with HS5 MSCs. Threshold ROC AUC > 0.85 identified 19 genes. Violin plot shows the composite score for these 19 genes in 3D monoculture (MC) versus contact (CC) cultures. (B) Heatmap of z score–normalized expression of the 19 genes. (C) Gene ontology (GO) analyses identify CCDC88A as an invariant player across processes enriched within the 19 genes. (D) Shows induction of CCDC88A in MCF7 cells in contact coculture (CC) but not conditioned media (CMed). Only significant P values are displayed (Welch’s t test). (E) Graph displays GO cellular components enriched in the CCDC88A/GIV-subcluster in C. Blue highlights denote processes required for transport via tunneling nanotubes. (F) MCF7 cells (red nuclei; “T”) connected with a nanotube to HS5 MSCs in contact coculture (left). Boxed area is magnified on the right. Arrows mark the nanotube. Supplemental Figure 3 shows additional images. Bar plots (right) show average number of TNTs in each condition per field. (G and H) Violin plots show induction of GJA1 (G) and TNFAIP2 (H) in MCF7 cells in contact co-culture (CC) but not in conditioned media (CMed). P values for A, F, G, and H were derived by 1-way ANOVA and corrected for multiple comparisons by Tukey’s method.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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