Abstract
Numerous physical and mechanical changes occur in the premetastatic niche. Here, we review the mechanics of the premetastatic niche and how the altered extracellular matrix and cancer cell mechanics may play a role in organotropism in breast cancer. Future research into premetastatic niche development and organotropic cell behavior should address physical alterations and biomechanical effects to the same rigor that biochemical alterations are studied.
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Introduction
As the primary tumor develops, distant organs also experience cell population and extracellular composition changes in preparation for tumor cell colonization. This local supportive microenvironment is termed the premetastatic niche (PMN). The PMN broadly consists of tumor-derived secreted factors (e.g. cytokines, chemokines, extracellular vesicles), recruited bone marrow-derived cells (BMDCs) and the conversion of resident and recruited cells into cancer-associated cells (e.g. cancer-associated fibroblasts (CAFs), tumor-associated macrophages), and aberrant stroma1. While the concept of a PMN (i.e. fertile soil for disseminated cancer cells to seed into) is over 100 years old2, current knowledge is lacking in understanding physical changes to the PMN, which may be unique from the mechanical changes that occur in the primary tumor microenvironment or in secondary sites after secondary tumors are established. Here, we will review current literature on the physical and mechanical alterations to the PMN that influence metastatic outgrowth in breast cancer. Given that breast cancer displays a non-random pattern of preferential metastatic locations1, we will also discuss mechanical aspects of this preferential metastasis, termed organotropism.
Extracellular Matrix Alterations in the Premetastatic Niche
Some cancers predominantly spread to one organ, such as the propensity of pancreatic cancer to metastasize to the liver3. Other cancer types, particularly breast cancer and lung cancer, are able to colonize multiple organ sites. Breast cancer most commonly metastasizes to the lungs, liver, bone, and brain3. Tumor cell arrest appears to be dictated, in part, by the physical parameters of the circulatory system within these organs4,5. In the brain, circulating tumor cells (CTCs) usually arrest in areas of low flow at vascular branch points within the capillary bed4,6. In the lungs, CTCs become lodged in the distal arterial pulmonary circulation as vessels naturally narrow. Given that the basal regions of the lungs are more highly vascularized, hematogenous metastases prominently appear in the basal region7. Similarly, due to its size, high vascularization, and role in filtration, CTCs may become lodged in the small capillaries of the liver. However, vessel diameter and flow rate are not the only physical parameters at play, as cancer cells have been found to attach to one side of blood vessels that are larger than the tumor cell diameter, particularly in sinusoids5,8. In both the bone marrow and the liver, this sinusoidal vasculature is fenestrated and there is a lack of organized continuous basement membrane. Therefore, these locations are thought to be more permissive to CTC extravasation, thus lessening the requirement for size-based entrapment3,9. Additionally, PMN priming of particular organs appears to alter metastatic outgrowth patterns from those predicted purely by circulation mechanics, as the altered tissue niches enable disseminated tumor cells to successfully extravasate, evade immune detection, and begin proliferating. Extracellular matrix (ECM) alterations in PMNs typically include accumulation of matrix proteins and increased crosslinking—resulting in overall matrix stiffening, disruption to the basement membranes, and an increase in vasculature growth and leakiness. Matrix accumulation observed in the PMN includes collagens (such as type I10,11,12 and type 1413,14), but seems mainly related to glycoproteins—including fibronectin15,16,17,18,19, tenascin C17,19,20,21, and periostin7,20, among others22.
Crosslinking Agents and Induced Fibrosis
Molecules secreted at the primary tumor that have been extensively studied in altering the primary tumor matrix may also arrive at and alter distant tissues to form PMNs. For example, during primary tumor progression, particularly when primary tumors are under hypoxia, overexpressed hypoxia-inducible factor 1 alpha (HIF-1α) leads to the release of lysyl oxidase (LOX) in a P2Y2 receptor-dependent manner23. Secreted LOX and LOX-like (LOXL) proteins can crosslink fibers (collagens, elastin) and the LOX family has been extensively reviewed in development and in the primary tumor microenvironment24,25. Erler et al. showed that mice with orthotopic injections of MDA-MB-231 triple-negative breast cancer cells with a LOX shRNA knockdown had reduced lung metastases and reduced presence of BMDCs in the lungs16. The premetastatic lungs of mice inoculated with wildtype MDA-MB-231 cells showed increased fibronectin deposition in the terminal bronchioles and distal alveoli, with LOX co-localized exclusively to this fibronectin, compared to the lungs of mice inoculated with LOX-deficient cells16. Narciso et al. also demonstrated that fibronectin deposition was correlated to regions of high hypoxia and necrosis in metastatic lesions26 and Wu et al. showed that conditioned media from LOXL2 over-expressing hepatocellular carcinoma cells or media supplemented with recombinant LOXL2 (rhLOXL2) upregulated fibronectin production in lung fibroblasts18. Similarly, mice with orthotopic injections of MDA-MB-231 cells with HIF-1α knockdown had both reduced collagen crosslinks in the lungs and reduced lung metastasis compared to mice with wildtype tumor cells23,27. However, Cai et al. found downregulation of LOX in premetastatic lungs and in breast cancer-conditioned lung fibroblasts13. This was explained by the difference in primary tumor size, wherein the mice under Cai et al. had relatively small tumors ( ~ 260 mm3) with presumably less hypoxia13, although a smaller primary tumor size does not guarantee less hypoxia/necrosis28. Moreover, primary tumor size does not explain the downregulation of LOX seen in fibroblasts cultured with MDA-MB-231-conditioned media as compared to control fibroblasts13. We propose that this is likely due to the presence of serum in the MDA-MB-231 media, where other studies often switch to serum-free media as the base for conditioned media collection. Prolonged serum deprivation was shown to induce HIF-1α in prostate cancer cells irrespective of oxygen conditions29. This indicates that PMN accumulation of matrix proteins and matrix crosslinking proteins may be induced by several mechanisms beyond hypoxia at the tumor core, but future work is needed to understand the mechanisms fully.
Several studies have attempted to isolate the impact of a fibrotic PMN on metastatic potential. In one, BALB/c mice underwent bleomycin treatment or thoracic irradiation to induce pulmonary fibrosis, or Dimethylnitrosamine treatment to induce hepatic fibrosis30. PMN fibrosis did not affect primary tumor growth, but mice with induced PMN fibrosis had an approximately 2.5 fold larger pulmonary metastatic burden than control mice. A similar effect was seen in pulmonary metastatic burden after tail vein injection (as opposed to orthotopic injection) in fibrotic and control mice. In subsequent studies, mice were treated with an anti-LOX antibody or an IgG control for 3 weeks after chemical- or irradiation-induced fibrosis, stopping 48 h prior to orthotopic injection of 4T1 cells. No difference in primary tumor growth was seen, while anti-LOX treated mice had an approximately 50% reduction in pulmonary metastatic burden and a significant reduction in frequency of hepatic metastasis across the individual experiments30. Barkan et al. performed a complementary study on the isolated impact of a fibrotic PMN. Here, CD1/nu/nu athymic mice received an adenoviral vector expressing active Transforming Growth Factor Beta 1 (TGFß1) to the lungs to induce fibrosis. 21 days post-infection, D2.0 R cells were injected in the tail vein, and the lungs were analyzed 4 weeks post-injection10. Typically, D2.0 R cells disseminate, but remain dormant for months, with only occasional completion of macrometastases10,31. Following TGFß1 treatment, the mouse lungs became fibrotic, with increased deposition of matrix that included type I collagen. Total tumor burden per lung was 18-fold higher in mice with fibrotic lungs than mice that received an empty adenoviral vector. The authors observed that this increase was not due to TGFß1 signaling directly, but that the collagen-I (and fibronectin) enriched lungs induced a phenotypic switch (i.e. dormant to proliferative) in the D2.0 R cells, mediated by the cells’ ß1 integrin expression10,32. In total, the isolated development of fibrosis in PMNs seems to increase metastatic outgrowth. However, the effect of PMN fibrosis on breast cancer cell dissemination or arrest from circulation into metastatic niches is unclear. When pulmonary fibrosis was induced physically (e.g. through irradiation), there was no effect on the number of disseminated tumor cells initially lodged within the lungs 2 h post tail-vein injection, but the fibrotic environment supported subsequent survival and proliferation of these lodged tumor cells to form micrometastases, with the presence of multicell clusters appearing in only fibrotic mice after 72 h30. In contrast, when spontaneous-tumor-forming mice (MMTV-PyMT background) were genetically altered to carry a mammary gland-specific deletion of LOXL2, the number of CTCs in the peripheral blood was significantly reduced compared to control mice19. Perhaps unsurprisingly, this demonstrates that crosslinking at the primary tumor site and premetastatic sites have different effects on the efficiency of individual steps of the metastatic cascade, although both result in a heavy reduction in metastatic incidence (incidence was 75% lower in mice without mammary gland LOXL2 than control mice19).
It is important to note that the induction of a fibrotic PMN does not solely affect the ECM. Following bleomycin treatment in vitro, Cox et al. observed elevated alpha-smooth muscle actin (αSMA) expression and LOX secretion from fibroblasts on collagen30. In fact, matrix accumulation and stiffening via crosslinking (elastic modulus measured via shear rheology) were considered downstream events of fibroblast activation30. Tumor-secreted LOXL2 (via 4T1 cells) was also shown to activate fibroblasts into a more CAF-like phenotype in the tumor microenvironment33 and increase BMDC recruitment to premetastatic sites, such that intracellular effects of LOX and LOXL2 may initially promote breast cancer cell invasion and CAF formation only then to be followed by extracellular LOX acting on ECM stiffness19. Stiffer, more rigid matrices may then influence other cells in the PMN, creating a positive stiffening feedback loop through LOX family members. For example, a recent report showed that stiffer matrices strengthened M2 macrophage polarization and promoted expression of additional LOXL2 through HIF-1α upregulation in liver cancer models34,35. Increased Young’s modulus of the matrix by activated fibroblasts was also sufficient to increase 4T1 proliferation rates without the continued presence of the fibroblasts themselves in the constructs30. However, clinically, simtuzumab, a LOXL2-specific blocking monoclonal antibody, has not shown benefit in reducing fibrosis or altering metastatic pancreatic adenocarcinoma patient outcomes36,37. There may be innumerable reasons for this, stemming from formulation issues to timing of when treatment starts relative to fibrotic and metastatic progression, but it is also possible that another LOX family member is a more suitable target against premetastatic fibrosis and/or metastatic progression. In particular, LOXL4 has gained attention recently, but results have been mixed whether increased LOXL4 expression is beneficial or deleterious for metastatic progression34,37,38,39,40.
Additionally, the LOX family are not the only matrix crosslinking agents. Fibrillar fibronectin can be stabilized via o,o’-dityrosine crosslinking under reducing conditions (although soluble fibronectin cannot undergo fibrillogenesis this way). Interestingly, this reaction was driven by TGFß1 and required the presence of myeloperoxidase, which is derived from inflammatory cells41. Tissues also stiffen through the nonenzymatic formation of advanced glycation end-products (AGEs), which accumulate through age and during certain conditions, such as diabetes42,43. Increased crosslinking generally reduces tissue viscoelasticity by limiting fiber-fiber/fibril-fibril sliding under tensile or compressive forces44. In a spontaneous tumor-forming mouse model, hyperglycemia did not alter the accumulation of collagen at the primary tumor, but did increase AGEs, resulting in an increase in breast tumor stiffness compared to nondiabetic mice. Stiffness was quantified as tissue equilibrium modulus after unconfined compression testing (poroviscoelastic model) and elastic modulus via atomic force microscopy45. Glycation-based stiffening has also been shown to increase tumor cell proliferation, mesenchymal phenotype, and invasion, suggesting disease advancement, but AGE accumulation in PMN development or metastatic outcomes have not been reported yet (particularly in a mechanical sense, separate from cellular AGE-RAGE (Receptor for AGEs) pathways), with pilot studies on AGE-breakers for cancer just beginning42,45,46,47,48,49. Lastly, transglutaminase 2 (TG2) has the ability to crosslink both intracellular and extracellular proteins, in addition to regulating several cellular functions biochemically50. In the ECM, TG2 acts as a transamidase, where it can associate with several proteins, including crosslinking collagen fibrils and stabilizing the basement membrane through laminin-nidogen complex crosslinks51,52. TG2 expression is often downregulated in primary tumors but upregulated in association with secondary metastases, and is associated with lower overall survival clinically53,54. Additionally, TG2 inhibitors were shown to sensitize various cancer cells to chemotherapeutics, in part, by disrupting fibronectin assembly in the ECM54. TG2 has been found in/on extracellular vesicles from multiple metastatic breast cancer cell lines, where the molecule crosslinked fibronectin on the vesicle surface, and contributed to the activation of fibroblasts (when coupled with fibronectin) in the tumor microenvironment after extracellular vesicle uptake55,56,57. Specifically, the N-terminal domain of TG2 binds to the gelatin-binding domain of fibronectin (FN42), whereby this TG2/fibronectin complex then provides a binding site for ß1 and ß3 integrins, leading to cell adhesion and a host of downstream effects51. Of note, this is somewhat similar to indirect pathways noted by both tenascin C and periostin—both can co-assemble with fibronectin and modulate its adhesiveness and stiffness, which ultimately alters the integrin signaling capacity of the fibrillar network58. In addition, TG2 binding to fibronectin was recently found to be tuned by the mechanical tension of the fibers (with affinity for low-tension fibronectin fibers), such that the TG2/fibronectin complex could be considered a mechanoregulator, but much more work is needed to identify extracellular roles of TG2 (aka tissue transglutaminase 2 when acting extracellularly) in PMN development51,59.
Metastatic Lesion Stiffness Over Time
It is known that the mechanical properties of secondary sites will impose changes on disseminated cancer cells upon arrival. Breast cancer relapse is often detected in tissues that have lower elastic moduli than the normal mammary gland or the primary breast tumor, such as the bone marrow and the brain60. Breast cancer cells in the lung microenvironment will also experience unfamiliar cyclic stretching, which appears to inhibit proliferation until matrix degradation, creating pockets of low strain, is achieved61. Perhaps this explains why breast cancer cells with greater metastatic potential were observed to have greater intracellular viscoelastic plasticity—i.e. an ability to quickly alter intracellular mechanics. Specifically, even within a spheroid of cells of similar origin, the 4T1 cells that displayed the largest invasion (i.e. leader cells) behaved in a more viscous manner as compared to those retained in the spheroid center. This was measured by comparing the scaling exponent α of the cytoplasm via optical tweezers. The authors also observed that the α value and the apparent Young’s modulus (measured via real time deformability cytometry) of invasive cell lines (including MDA-MB-231 and 4T1 cells) were more likely to vary with substrate stiffness/density (1 and 4 mg/ml collagen gels) compared to the noninvasive cell lines (including MCF7 and 67NR cells)62. Relatedly, cancer cells with greater metastatic potential were observed to be less sensitive to stiffness changes when grown on fibronectin-coated polyacrylamide hydrogels, surviving and growing regardless of environmental stiffness cues63. However, cell behavior was not consistent, with MDA-MB-231 cells having a lower α (more elastic) and higher Young’s modulus in 4 mg/ml collagen gels, and 4T1 cells having a higher α (more viscous) and lower Young’s modulus in 4 mg/ml gels compared to 1 mg/ml gels62, making global interpretation difficult.
Although global PMN development appears to revolve around tissue stiffening, no studies have yet analyzed the micromechanical properties of the ECM around metastatic lesions in breast cancer over time. Narciso et al. have, however, measured such for melanoma (and lung cancer) cells arriving in the lungs after tail vein injection26. Metastases were subdivided as micro- or macrometastases based on size. The ECM surrounding melanoma micrometastases appeared to be disorganized, degraded lung ECM, with the alveoli and blood vessels still occasionally intact/visible. In comparison, macrometastases were surrounded by a thick layer of ECM (referred to as a capsule) and the tumor was confined within the borders of the capsule. These “ECM-rich” areas comprised approximately 5% of the total area of each macrometastasis. Healthy (decellularized) lung tissue had a Young’s modulus of approximately 0.4 kPa measured by atomic force microscopy (Fig. 1a). Of note, the healthy tissue values were taken from tumor-adjacent ECM, as opposed to separate control mice, but it had likely not gone through a broader PMN development because cancer cells were intravenously injected in these experiments. Surprisingly, the ECM of decellularized micrometastases was significantly softer than healthy ECM, with a Young’s modulus of approximately 0.2 kPa. In contrast, decellularized macrometastases were significantly stiffer than healthy lung ECM, with the ECM-rich regions being more than 15-fold stiffer (approximately 6.4 kPa) (Fig. 1a). In total, the smallest micrometastases are within a healthy lung ECM range, but progressively soften (measured by Young’s modulus) as they enlarge until, around 0.5 mm3, when the metastases become encapsulated and develop an ECM-rich region surrounding the growing tumor of cells (Fig. 1b). As expected, this increase in Young’s modulus was related, in part, to altered ECM composition. Micrometastases had a slight increase in fibronectin signal (approximately 118% of baseline healthy signal). Perhaps unexpectedly, while the ECM-rich regions of macrometastases were significantly overexpressed for fibronectin (approximately 250% of baseline), the total tumor levels of fibronectin showed a decrease to approximately 88% of baseline26. This is similar to the transient increase in total fibronectin signal that we have seen in the premetastatic lung niche of BALB/c mice after orthotopic injection of 4T1 cells (Fig. 1c, d)15, and highlights the need for more research specifically parsing the dynamics of the metastatic lesions compared to the greater PMN.
a Young’s modulus (kPa) of healthy and metastatic lung extracellular matrix (ECM), measured by atomic force microscopy, showed significant softening during melanoma micro-metastasis stage (orange box), and significant stiffening of the ECM-rich areas for melanoma macrometastases (green box). TIA stands for tumor-infiltrating area of lung carcinoma samples. (ns: p > 0.05; *: p < 0.05; ****: p < 0.0001). b Young’s modulus of metastases plotted against their size. c Primary tumor growth and metastatic progression of 4T1 cells following orthotopic injection, tracked using bioluminescence. Days 10 and 15 represent PMN conditions, with days 20 and 25 showing overt metastasis. d Fibronectin signal quantification from immunohistochemical staining of the lungs shows a transient increase correlated with the PMN. (*: p < 0.05). a, b adapted from Narciso et al.26 and c, d adapted from Libring et al.15 under CC BY 4.0.
Mechanical Mechanisms of Organotropism
Breast Cancer Subtypes and Organotropic Metastasis
Although percentages vary by study given differing demographics and follow-up times, it is now well established that the different subtypes of breast cancer have different metastatic behaviors. Table 1 displays the patient counts for single site metastatic locations from two recent manuscripts64,65. We calculated the percentages as the number of patients within a breast cancer subtype with a given metastatic location against the number of total patients in that subtype, in order to compare the two studies. These studies agree with others that estrogen receptor-positive (ER + ) breast cancer patients have an increased likelihood of developing bone metastases, while triple-negative breast cancer patients are at an increased risk of developing visceral metastases66,67,68. It has been shown that triple-negative breast cancer patients still experience lower overall survival than other breast cancer patients when controlling for the same site of metastases (e.g. bone-only metastasis and brain-only metastasis)64,69. Medeiros et al. demonstrated that a unique premetastatic lung niche was established in nude mice using a triple-negative cell line (SUM159) as compared to a luminal A cell line (MCF7), including enhanced expression of periostin, fibronectin, tenascin-c, and MMP-9 (matrix metalloproteinase). When breast cancer cells were exposed in vitro to lung-conditioned media from mice bearing SUM159 tumors, migration and proliferation rates increased. This was not seen in breast cancer cells grown in lung-conditioned media from mice bearing MCF7 tumors, demonstrating that the developed triple-negative premetastatic lung niche itself has soluble factors that can enhance breast cancer cell survival and growth20. Further work from this lab has demonstrated that exposing breast cancer cells to lung-conditioned media from mice bearing triple-negative tumors increased the proportion of ALDHhi/CD44+ cells in the population and supported stemness/plasticity in the cancer cell population70. As MCF7 cells are considered low/non-metastatic (Table 2), whether the PMN created is primarily a function of breast cancer subtype or metastatic potential is difficult to decouple, and may not be possible given that different subtypes have different metastatic potentials clinically. Instead, it may be advantageous to study why luminal breast cancers, although having a lower early metastatic risk71, have a relative increased risk of bone metastases. Wang et al. observed that breast cancer cells can form contact-dependent E-cadherin—N-cadherin heterotypic adherens junctions with alkaline phosphatase-positive (ALP + ) osteogenic cells in the early metastatic bone niche, which conferred a proliferation advantage on the disseminated tumor cells. Given that E-cadherin is the major cadherin in the luminal subtype, this unique PMN interaction may contribute to the increased clinical bone metastases72. In a 2019 review, Gao et al. theorized that breast cancer subtypes may utilize different mechanisms from one another to achieve bone metastases. This includes the heterotypic adherens junctions for ER+ breast cancer, while ER- studies report more PMN bone priming—i.e. promoting osteoclast activity through secreted factors—although secretion of CXCL12 or homing to CXCL12-rich regions appears common across subtypes73. Many aspects of metastatic organotropism, such as cancer cell-released soluble chemoattractants, are beyond the scope of this review (but can be found in other recent reviews1,74,75), while organotropism in the context of disseminated tumor cell mechanical properties is discussed below.
Tumor Cell Mechanics and Organotropic Metastasis
The mechanical properties of a cell are mainly determined by its actin filaments, intermediate filaments, and microtubules related to the cytoskeleton76 and by the mechanical properties of its organelles, particularly the nucleus77. Several studies have found that transformed mammary epithelial cells have a lower Young’s modulus than their normal predecessors. Among heterogeneous tumor cell populations, more invasive tumor cells have the lowest Young’s modulus, and tumor cells with a soft cytoskeleton and reduced F-actin assembly have enhanced survival under shear force and increased stemness28,60,78,79,80,81,82,83,84,85,86,87,88. Beyond these differences, however, recent studies suggest that secondary tumor cells at different locations have distinct mechanical properties from each other. Tang et al. observed that breast cancer cells with bone tropism (i.e. a propensity to metastasize to the bone) had a higher Young’s modulus (measured via atomic force microscopy) with enhanced F-actin in the cell cytoskeleton compared with breast cancer cells with brain tropism or the parental MDA-MB-231 cells78. In contrast, another study did not find a significant difference in Young’s modulus via atomic force microscopy measurements between bone-tropic, brain-tropic, and parental MDA-MB-231 lines. However, bone-tropic MDA-MB-231 cells did have a larger area of tyrosine-phosphorylated paxillin focal adhesions and phosphorylated-focal adhesion kinase (FAK)-rich focal adhesions on the collagen I substrate than the parental and brain-tropic lines, and the sublines had differences in cell morphology from one another and with respect to morphological changes across substrates of varied stiffnesses89. Given these conflicting results, whether cell elasticity itself is innate to organotropism is unclear, and the differences may be due to the experimental design of the studies, but is likely also because these do not appear to be the same organ-tropic sublines, indicating that differences in stiffness seen among the Memorial Sloan Kettering-based sublines78 may be byproduct and not a driver of organotropic behavior. Continuing their work, Tang et al. modified the mechanics of the brain-tropic or bone-tropic cell sublines and characterized shifts in the brain-tropic or bone-tropic genes associated with each subline78. For example, inhibiting Rho-associated protein kinase (ROCK) in the bone-tropic cells with Y27632 had a minimal effect on the levels of most bone-tropic genes, but resulted in an upregulation of some brain-tropic genes (LTBP1, PIEZO2, EREG, and ITGB3) (Fig. 2a). However, the effect in changed gene signature was not consistent depending on the pharmacological intervention used (Y27632, F-actin inhibitor Cytochalasin D, or myosin II inhibitor blebbistatin) and was also somewhat different than the result when mDia1, a downstream effector of RhoA, was knocked down (Fig. 2b), making it difficult to generalize a conclusion78 on innate cell elasticity and organotropism.
mRNA expression of canonical bone-metastasis genes (left) and brain-metastasis genes (right) in MDA-MB-231 bone-tropic subline after (a) pharmacologically disrupting cell mechanics (24 hours) or (b) knocking down mDia1, a downstream effector of RhoA and key driver for actin polymerization. Y27632 is a ROCK inhibitor; Cytochalasin D (Cyto D) is an F-actin inhibitor, and Blebbistatin is a myosin II inhibitor. Values measured by real time-polymerase chain reaction (RT-PCR). *: p < 0.05; **: p < 0.01; and *** p: < 0.001. Figure adapted from Tang et al.78 under CC BY 4.0.
Lastly, in the generation of these organ-tropic cell series, parental breast cancer cells were allowed to metastasize and the metastatic populations were isolated and serially inoculated in additional mice until stable organ-tropic sublines were established, which is a standard methodology78,89,90. However, because these organ-tropic sublines have already been through the entire metastatic cascade numerous times, it is unclear if they were an intrinsic, present population within the mechanical heterogeneity of the original primary tumor that best survived in a correspondingly stiff or soft PMN, or whether these cells adopted the characteristics of said environments and became more organotropic during secondary tumor development after non-specific lodging in a secondary location. Several approaches attempt to answer the question of whether an organ-homing subpopulation is present in a naïve primary tumor. Savci-Heijink et al. analyzed 157 primary breast tumors from patients with known metastatic disease to determine a 15-gene signature that predicts for bone metastases (APOPEC3B, ATL2, BBS1, C6orf61, C6orf167, MMS22L, KCNS1, MFAP3L, NIP7, NUP155, PALM2, PH-4, PGD5, SFT2D2 and STEAP3)91 and a 14-gene signature that predicts for visceral metastases (WDR6, CDYL, ATP6V0A4, CHAD, IDUA, MYL5, PREP, RTN4IP1, BTG2, TPRG1, ABHD14A, KIF18A, S100PBP, and BEND3)92 indicating that the cells of the primary tumor already have alterations that indicate organotropic behavior. In total, it seems that organotropic behavior can be identified in naïve primary tumors, such as from patient sample biopsies that have not undergone serial metastasis to create organotropic sublines. Whether the correlation of tumor cell elastic modulus, specifically, is a byproduct or in itself a driving force of organotropism remains an active area of investigation by several groups. The establishment of soft and stiff sublines sorted from a parental line in vitro and subsequent in vivo testing of metastatic potential and organotropism may be a new avenue of research to further illuminate this distinction.
It is also important to note that a cell’s viscoelastic behavior is not the only mechanical aspect that may affect metastatic potential and organotropism. Since CTCs must successfully reattach to the endothelium under fluid shear stress before extravasating, Zhang et al. recently demonstrated that this process selects for tumor cells with enhanced adhesion strength93. Arrest of CTCs is often a two-step process. Initially, adhesion receptors on the surface of CTCs, such as CD44 and integrin αvß3, facilitate a weak adhesion to endothelial cells (e.g. E-selectin). A strong adhesion develops during the rolling of cancer cells on the endothelium via integrin α5ß15,93,94. Specifically, the rolling of cancer cells along a microvessel wall induces a localized vortex in the fluid flow. Due to the vortex, the rolling cell/cluster can experience plasma flow that is twice the otherwise maximum flow, wherein this higher shear force activates adhesion molecules on the surrounding platelets and on the cancer cells. 80 pN is the critical adhesion force necessary for CTCs to initiate adhesion to the endothelium, corresponding to a fluid flow of 450 µm/s6,95. Kang et al. demonstrated that it may be possible to reduce hematogenous metastasis of HR-/ER-/CD44+ breast cancer cells by inhibiting their ability to adhere to E-selectin-expressing blood vessels. This was done through a single injection of an E-selectin targeted aptamer, after which metastasis was reduced in MDA-MB-231 and 4T1 orthotopic models96. Other adhesion molecules, such as intercellular adhesion molecule 1 (ICAM-1) and vascular cell adhesion molecule 1 (VCAM-1), have been found in disseminated breast cancer cells, wherein higher expression is correlated with disseminated tumor cell survival and increased metastasis. In some recent studies, these molecules appear more to modulate tumor-tumor cell adhesion and macrophage-tumor cell adhesion of circulating clusters, respectively, rather than driving arrest and extravasation through endothelial cell-tumor cell adhesion, but this is still under active investigation and may be cancer type and/or model specific97,98,99,100,101.
Vascular endothelial cells have also been recently shown to be unique across different organs102. Therefore, it is possible that subsets of CTCs may adhere better to certain types of endothelial cells, driving organotropism through differential tumor cell-endothelial cell adhesion profiles and extravasation ability. Zhang et al. developed an in vitro chip to mimic the brain endothelium and observed that the MDA-MB-231 cells that preferentially adhered to the human brain endothelial cell layer expressed higher levels of genes typically seen in brain metastases93. Importantly, cells that were allowed to adhere to the brain endothelium without exposure to shear stress (1 dyne/cm2 wall shear stress for 15 min) did not obtain the enhanced brain metastasis characteristics, implicating that organotropic selection requires a physical component93. Whether a similar correlation exists between endothelium adhesion to other model organs and the presence of organ-specific metastatic gene signatures in adherent cells is yet unknown.
Lastly, a greater emphasis is likely needed on understanding biomechanical changes induced by fluid shear stress, especially by the lymphatic system. Pereira et al. observed that lung metastases contained breast cancer cells that entered the bloodstream after sentinel lymph node colonization103. Naxerova et al. similarly demonstrated through colorectal cancer clonal evolution studies that distant metastases and lymph node metastases often share a common origin, as compared to the primary tumor cells104. In vitro, lymphatic-like wall shear stress levels (0.05 dyne/cm2) activated YAP/TAZ signaling in prostate cancer CTCs105,106,107. Additionally, cancer cells were increasingly more motile, with a higher velocity during migration, after exposure to wall shear stress values of 0.05, 0.5, and 1 dyne/cm2, but no boost in motility was observed after exposure to a larger wall shear stress more representative of hematogenous metastasis (5 dyne/cm2)106. Kawai et al. demonstrated that lymphatic endothelial cells that were exposed to 0.5 or 1 dyne/cm2 shear stress had increased ICAM-1 expression, which accelerated the attachment of cancer cells to the lymphatics. This indicates that heightened shear stress exposure on some lymphatic endothelial cells (due to other vessels around the primary tumor collapsing) may help drive the formation of the sentinel lymph node108. Together, these results suggest that the mechanics and cellular interactions that disseminated cancer cells experience during lymph involvement prior to circulation may play a critical role in enhancing final survival and colonization in secondary locations, but much more study is required to elucidate such a potential role in breast cancer.
Conclusion
In total, great strides have been made in understanding the physical and mechanical properties of PMNs and mechanical components of organotropism (Fig. 3). Broadly, the premetastatic niche matrix appears to stiffen prior to outgrowth and as metastases grow large, but may soften around micrometastases. Regarding cell mechanics, while it is known that breast cancer cells have a lower Young’s modulus than non-transformed cells, and grow softer with increased aggressive behavior, it is still debated whether organotropic sublines display different mechanical properties, such as viscoelasticity and adhesion strength, and, moreover, whether differences reported by some are a byproduct or a driving force in organotropic behavior.
a Extravasation may select for circulating tumor cells (CTCs) with enhanced adhesion strength. Adhesion is a two-step process in which CTCs first weakly adhere to endothelial cells, then begin to roll, creating a localized vortex in fluid flow that activates stronger adhesion molecules. Organotropism may be affected by unique adhesion profiles of CTCs with endothelial cells of various organs. b Global premetastatic niche (PMN) development appears to revolve around tissue stiffening, with an increased Young’s modulus and decrease in tissue viscoelasticity due to the accumulation of matrix proteins and increased crosslinks. A fibrotic PMN activates stromal cells, creating a feedback loop, and is ultimately associated with increased metastasis. c However, micrometastases may have a lower Young’s modulus than the surrounding tissue due to disorganized, degraded matrix. Macrometastases then develop ECM-rich capsules with high Young’s moduli, mimicking the primary tumor. Intracellularly, metastatic potential is correlated with lower Young’s modulus and high viscoelastic plasticity, which may enable the cells survive across these varied stages of the metastatic cascade that with changing forces and mechanics (e.g. shear in circulation, cyclic stretching in the lungs, various tissue elastic moduli). Created with BioRender.com.
Much work has gone into analyzing the PMN developed by breast cancer cells with the greatest metastatic potential. It is important to note, however, that the subpopulation of tumor cells that comprises the bulk of metastatic nodules may not be the primary subpopulation that conditions the PMN. Within our work, we have observed that the mesenchymal, migratory MCF10CA1h cell line could not form overt metastases in vivo and did not make up a significant portion of the metastases formed when orthotopically co-injected with epithelial MCF10CA1a cells109, but did appear to be the primary source of extracellular vesicles that could re-educate resident lung fibroblasts to produce a more fibrotic matrix15. In a mathematical model of niche construction and metastasis, two types of tumor cells appear within the primary tumor; similar to the MCF10CA1h and MCF10CA1a cells, the types were cells that contribute to niche construction at their own cost and those that reap the benefits without contributing, which were termed producers and cheaters, respectively110. Complementarily, research has indicated that, in breast cancer, outgrowth of single lodged cancer cells into detectable metastatic lesions is the primary rate-limiting step of metastasis, not the ability to disseminate111,112,113,114. Thus, future work on PMN development should focus on how the altered microenvironment facilitates or inhibits colonization of the organ after extravasation, not necessarily how the mechanics affect arrest from circulation, although work on mechanics-based organ-specific homing is likely relevant115,116. When analyzing the mechanics of the developing PMN itself, the tissue appears to stiffen, partly through accumulation of matrix proteins such as fibronectin, and largely due to increased crosslinking. Once metastases begin to grow, there is evidence that the ECM around micrometastases may soften as the small lesions grow, driven by ECM degradation. This potentially critical, but transient reduction in local ECM stiffness may be related to the mesenchymal-to-epithelial transition of disseminated tumor cells and overall metastatic potential. Therefore, future work on PMN development and metastatic outgrowth should likely focus on the interactions between single disseminated tumor cells and the cellular and extracellular components of the PMN that reinitiate proliferation, with an emphasis on the phenotypic, metabolic, and mechanical plasticity of the breast cancer cells117,118,119,120. Discoveries here may enable a new area of therapeutics which aim not to reduce dissemination from the primary tumor or target actively dividing cells, but force already-disseminated cells to remain asymptomatic indefinitely.
Data Availability
No datasets were generated or analysed during the current study.
Abbreviations
- ABHD14A:
-
Abhydrolase Domain Containing 14A
- AGE:
-
Advanced Glycation End-Product
- ALDH:
-
Aldehyde Dehydrogenase
- APOPEC3B:
-
Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3B
- αSMA:
-
alpha-Smooth Muscle Actin
- ATL2:
-
Atlastin GTPase 2 (ATL2)
- ATP6V0A4:
-
ATPase, H+ transporting, lysosomal V0 subunit a4
- BBS1:
-
Bardet-Biedl syndrome 1
- BEND3:
-
BEN domain containing 3
- BMDC:
-
Bone Marrow Derived Cells
- BTG2:
-
BTG Anti-Proliferation Factor 2
- CAF:
-
Cancer-Associated Fibroblast
- CD1:
-
Cluster of Differentiation 1 (gene cluster that encodes a family of glycoproteins)
- CDYL:
-
Chromodomain protein, Y-like
- CHAD:
-
Chondroadherin
- CTC:
-
Circulating Tumor Cell
- CXCL12:
-
C-X-C motif Chemokine Ligand 12 (aka stromal cell-derived factor 1 (SDF-1))
- C6org167:
-
Chromosome 6 open reading frame 167
- C6org61:
-
Chromosome 16 open reading frame 61
- ECM:
-
Extracellular Matrix
- ER:
-
Estrogen Receptor
- EREG:
-
Epiregulin
- FAK:
-
Focal Adhesion Kinase
- HER2:
-
Human Epidermal Growth Factor Receptor 2
- HIF-1α:
-
Hypoxia-Inducible Factor 1 alpha
- HR:
-
Hormone Receptor
- ICAM-1:
-
Intercellular Adhesion Molecule 1
- IDUA:
-
Alpha-L-iduronidase
- ITGB3:
-
Integrin Subunit Beta 3
- KIF18A:
-
Kinesin Family Member 18A
- KCNS1:
-
Potassium voltage-gated channel, delayed-rectifier, subfamily S, member 1
- LOX:
-
Lysyl Oxidase
- LOXL:
-
Lysyl-Oxidase-like protein
- LTBP1:
-
Latent Transforming Growth Factor Beta-binding Protein 1
- mDIA1:
-
Diaphanous-related Formin (aka Protein Diaphanous Homolog 1 (DIAP1))
- MFAP3L:
-
Microfibrillar-associated protein 3-like
- MMP:
-
Matrix metalloproteinase
- MMS22L:
-
E3 ubiquitin-protein ligase substrate receptor MMS22-like protein
- MYL5:
-
Myosin, light chain 5, regulatory
- NIP7:
-
Nuclear import 7 homolog (S. cerevisiae)
- NUP155:
-
Nucleoporin 155 kDa
- PALM2:
-
Paralemmin 2
- PGD5:
-
PiggyBac transposable element derived 5
- PH-4:
-
Hypoxia-inducible factor prolyl 4-hydroxylase
- PIEZO2:
-
Piezo Type Mechanosensitive Ion Channel Component 2
- PMN:
-
Premetastatic Niche
- PR:
-
Progesterone Receptor
- PREP:
-
Prolyl Endopeptidase
- P2Y2 Receptor:
-
P2Y Purinoceptor 2 Receptor (aka P2RY2)
- RAGE:
-
Receptor for AGE
- RHOA:
-
Ras Homolog Family Member A
- ROCK:
-
Rho-associated Protein Kinase
- RTN4IP1:
-
Reticulon 4 interacting protein 1
- SFT2D2:
-
SFT2 domain containing 2
- shRNA:
-
Short hairpin RNA
- STEAP3:
-
STEAP family member 3
- S100PBP:
-
S100P (Calcium Binding Protein P) Binding Protein
- TAZ:
-
Transcriptional Co-activator with PDZ Binding Motif
- TGFß1:
-
Transforming Growth Factor Beta 1
- TG2:
-
Transglutaminase 2
- TPRG1:
-
Tumor Protein p63 Regulated 1
- VCAM-1:
-
Vascular Cell Adhesion Molecule 1
- WDR6:
-
WD Repeat Domain 6
- YAP:
-
Yes-Associated Protein
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Libring, S., Reinhart-King, C.A. Premetastatic niche mechanics and organotropism in breast cancer. npj Biol. Phys. Mech. 2, 11 (2025). https://doi.org/10.1038/s44341-025-00015-5
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DOI: https://doi.org/10.1038/s44341-025-00015-5