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Angiocrine signals regulate quiescence and therapy resistance in bone metastasis
Amit Singh, Vimal Veeriah, Pengjun Xi, Rossella Labella, Junyu Chen, Sara G. Romeo, Saravana K. Ramasamy, Anjali P. Kusumbe
Amit Singh, Vimal Veeriah, Pengjun Xi, Rossella Labella, Junyu Chen, Sara G. Romeo, Saravana K. Ramasamy, Anjali P. Kusumbe
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Research Article Bone biology Vascular biology

Angiocrine signals regulate quiescence and therapy resistance in bone metastasis

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Abstract

Bone provides supportive microenvironments for hematopoietic stem cells (HSCs) and mesenchymal stem cells (MSCs) and is a frequent site of metastasis. While incidences of bone metastases increase with age, the properties of the bone marrow microenvironment that regulate dormancy and reactivation of disseminated tumor cells (DTCs) remain poorly understood. Here, we elucidate the age-associated changes in the bone secretome that trigger proliferation of HSCs, MSCs, and DTCs in the aging bone marrow microenvironment. Remarkably, a bone-specific mechanism involving expansion of pericytes and induction of quiescence-promoting secretome rendered this proliferative microenvironment resistant to radiation and chemotherapy. This bone-specific expansion of pericytes was triggered by an increase in PDGF signaling via remodeling of specialized type H blood vessels in response to therapy. The decline in bone marrow pericytes upon aging provides an explanation for loss of quiescence and expansion of cancer cells in the aged bone marrow microenvironment. Manipulation of blood flow — specifically, reduced blood flow — inhibited pericyte expansion, regulated endothelial PDGF-B expression, and rendered bone metastatic cancer cells susceptible to radiation and chemotherapy. Thus, our study provides a framework to recognize bone marrow vascular niches in age-associated increases in metastasis and to target angiocrine signals in therapeutic strategies to manage bone metastasis.

Authors

Amit Singh, Vimal Veeriah, Pengjun Xi, Rossella Labella, Junyu Chen, Sara G. Romeo, Saravana K. Ramasamy, Anjali P. Kusumbe

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Figure 5

Radiation and chemotherapy induce upregulation of quiescence-promoting factors in the bones via pericytes.

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Radiation and chemotherapy induce upregulation of quiescence-promoting f...
(A and B) The left heatmap shows data quality assessment by hierarchical sample-to-sample distance clustering. Variance-stabilizing transformation of the RNA-Seq read count for all the samples was used to calculate the sample-to-sample Euclidean distance (color scale) for hierarchical clustering. Controls (C1–C3), radiated (IR1–IR2), or chemotherapy-treated (CT1–CT3) whole tibial bones from young mice. GSEA of the radiated bones in comparison to bones from control mice. The most significant biological processes were assessed by GAGE, with q < 0.000001. The most differentially downregulated biological processes are shown in the bar graphs. The y axis shows the GO terms, whereas the x axis represents the enrichment scores of these terms. The right heatmap in A shows 4136 differentially expressed genes between the radiated bones in comparison to bones from the control mice (FDR-adjusted P value cutoff <0.01, log2 fold change ±1). The right heatmap in B show 3119 differentially expressed genes between carboplatin-treated and control bones (FDR-adjusted P value cutoff <0.01, log2 fold change ±1). Color intensity represents row-scaled-normalized log2(cpm) expression, whereas the columns represent the replicate of each samples. (C) qPCR analysis of Bmp4, Bmp6, Bmp7, Kitl, Tgfb2, and Thbs2 expression (normalized to Actb) by radiated or chemotherapy-treated tibiae relative to controls from young mice. Data represent mean ± SD (n = 8 replicates), and 2-tailed unpaired t tests. (D) Bubble graph shows the qPCR analysis of Bmp7, Cxcl12, Kitl, Tgfb2, Thbs2, Bmp4, and Bmp6 expression (normalized to Actb) by different cell types (as indicated in the figure) in BM from young mice in comparison to levels in osteoclasts. Data represent mean (n = 5 replicates). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

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