Volume 10 Supplement 1
Mechanisms of metastasis
© BioMed Central Ltd 2008
Published: 09 December 2008
Metastasis is an enormously complex process that remains to be a major problem in the management of cancer. The fact that cancer patients might develop metastasis after years or even decades from diagnosis of the primary tumor makes the metastatic process even more complex. Over the years many hypotheses were developed to try to explain the inefficiency of the metastatic process, but none of these theories completely explains the current biological and clinical observations. In this review we summarize some of the proposed models that were developed in attempt to understand the mechanisms of tumor dissemination and colonization as well as metastatic progression.
Metastasis is of great importance to the clinical management of cancer since the majority of cancer mortality is associated with disseminated disease rather than the primary tumor . In most cases cancer patients with localized tumors have significantly better prognoses than those with disseminated tumors. Recent evidence suggests that the first stages of metastasis can be an early event  and that 60% to 70% of patients have initiated the metastatic process by the time of diagnosis. Therefore, an improved understanding of the factors leading to tumor dissemination is of vital importance. However, even patients that have no evidence of tumor dissemination at presentation are at risk for metastatic disease. Approximately one-third of women who are sentinel lymph node negative at the time of surgical resection of the primary breast tumor will subsequently develop clinically detectable secondary tumors . Even patients with small primary tumors and node negative status (T1N0) at surgery have a significant (15% to 25%) chance of developing distant metastases .
In spite of the prevalence of secondary tumors in cancer patients, metastasis is an extremely inefficient process. To successfully colonize a distant site, a cancer cell must complete all of the steps of the cascade. Failure to complete any one step results in failure to colonize and proliferate in the distant organ. As a result, tumors can shed millions of cells into the bloodstream daily , yet very few clinically relevant metastases are formed . Although many steps in the metastatic process are thought to contribute to metastatic inefficiency, our incomplete understanding of this process suggests that we are aware of some but not all of the key regulatory points. For instance, destruction of intravasated cells by hemodynamic forces and sheering has been thought to be a major source of metastatic inefficiency . However, recent evidence suggests that this may not always be the case and that cells in the bloodstream have been shown to arrest in capillary beds and extravasate with high efficiency and reside dormant in the secondary sites for long periods of time , sometimes for years . Micrometastases may form, but the bulk of these pre-clinical lesions appear to regress , probably due to apoptosis .
It is apparent, therefore, that a comprehensive understanding of the biological and pathological intricacies underpinning the process of metastasis is still lacking. This is due, in part, to the sheer complexity of the metastatic cascade, which encompasses not only the biology of the tumor cell but also the rest of the organism in which it resides. Many models have been developed to attempt to provide a working hypothesis upon which to base further research. Here we review a number of the commonly accepted or recently proposed models and mechanisms of metastatic progression. We believe that many of these models are, however, somewhat inconsistent with current biological observation and that none sufficiently explain all of the complexities associated with this process. In spite of this, valuable insights have been gleaned from many of them, which have helped to further our understanding of the underlying mechanisms of tumor dissemination and colonization.
The progression model
A number of studies over the years have provided support for this model. Clonal derivatives of cell lines have been demonstrated to have different metastatic capacities , indicating that metastatic subpopulations do exist, at least in in vitro systems. More recently, similar studies have been performed to demonstrate that target organ tropism also results from genomic alterations within cell populations. Using a related cloning and selection strategy in a human tumor-derived cell line, Massague and colleagues [14–16] have demonstrated that distinct sub-populations of cells exist that have acquired specific gene expression patterns that predispose them to metastasize to particular organs, presumably by some form of somatic alteration.
The existence of metastasis suppressor genes also supports the hypothesis that somatic events are important intermediaries in metastatic progression. Metastasis suppressors are genes that when expressed in metastatic cell lines suppress the ability to form macroscopic metastases while having little or no impact on primary tumor growth [17, 18]. Down-regulation of metastasis suppressors in tumors has been commonly associated with either loss of heterozygosity (for example, ) or transcriptional silencing , with mutational inactivation rarely being observed.
In spite of the accumulation of evidence supporting this model, however, paradoxes remain, one of which is the existence of patients with unknown-primary cancer metastatic disease. These patients, which constitute approximately 5% of solid tumor-related cases, typically present with disseminated disease but have no clinically detectable primary tumor or only a small, well differentiated lesion that is found at autopsy . The stochastically driven progression model suggests that a primary tumor must possess a sufficient number of cells to achieve the necessary sequence of events that lead to metastasis. The absence of large primary tumors in individuals with unknown-primary cancer metastatic disease therefore runs contrary to this model. A second paradox is the finding that although variant clones with high metastatic capacity can be identified in populations, it is frequently observed that these variants revert to a low-metastatic capacity after several generations [21, 22]. Permanent somatic events that induce metastatic capacity, as predicted by the progression hypothesis, would be expected to be stably inherited, rather then being rapidly lost. Therefore, due to the inherent inconsistencies and paradoxes of the progression model an alternative explanation termed 'dynamic heterogeneity' has been proposed.
The transient compartment models
The dynamic heterogeneity model , and the subsequently extended transient metastatic compartment model of Weiss  were proposed to explain the lack of consistent increases in metastatic capacity of secondary tumors compared to primary tumors. If metastatic capacity was due to a series of heritable mutation events, as predicted in the progression theory, it might be expected that cells that had successfully completed the metastatic cascade would be more efficient at establishing new metastatic tumors than the primary tumor. However, this was not consistently observed in a number of experimental systems (reviewed in ). The transient metastatic compartment model proposed by Weiss suggests instead that all viable cells in a tumor acquire metastatic capacity, but due to positional and/or random epigenetic events only a small fraction are capable of completing the process at a given moment in time (Figure 2b) . Thus, although a tumor may have been derived from a cell that successfully completed the metastatic process, not all cells within such a tumor retain the capacity to colonize secondary sites due to random, or microenviromentally induced epigenetic events or inadequate access to vasculature.
Support for this model comes from studies demonstrating that methylation inhibitors can modulate the metastatic capacity of cell lines [24–28]. However, while global demethylation may mimic some of the proposed epigenetic events, these agents can cause chromosomal aberrations , opening up the possibility that the modulation of metastatic capacity was due to mutational rather than epigenetic events. In addition, genomic instability is a hallmark of solid tumors, and increases in the number of chromosomal aberrations often correlate with a poorer prognosis . The inability of cells isolated from metastases to be consistently more metastatic than the primary tumor could be explained by additional genomic events within cells that disrupt the delicate balance of molecular processes required to successfully complete the metastatic cascade . Furthermore, the transient compartment model does not explain the clonal nature of metastases [32–34]. Since neoplastic cells within primary tumors are known to be heterogeneous , if every cell had a metastatic ability that was modulated only by transient epigenetic events, then it is less likely that significant proportions of secondary tumors would appear to be of clonal origin [13, 36, 37].
The fusion model
Tumor cells must acquire a number of different characteristics beyond unlimited proliferative capacity to become metastatic. These include detachment from the basement membrane, loss of gap junction [38, 39] and tight junction contacts  with neighboring cells, migration away from the primary tumor site, through extracellular matrix  either via proteolytic mesenchymal-like or proteolytic-independent amoeboid motion , entrance and survival in the vasculature or lymphatics before arresting in the secondary site and proliferating either within the vessel  or after extravasation  into the surrounding parenchyma. How tumor cells acquire all of these abilities is clearly of great interest. The progression model suggests that dedifferentiation as a result of accumulation of somatic mutations produces a more embryonic phenotype. Intriguingly, while these abilities are foreign to the epithelial cells that form the bulk of human solid tumors, they are characteristic of certain cells originating from lymphoid tissues. This has led to several alternative explanations as to why tumor-derived epithelial cells gain the ability to metastasize, all of which center around the hypothesis that metastatic tumor cells acquire lymphoid characteristics. The presumed origin of the lymphoid characteristics of these epithelial cells is by nuclear transduction, either by fusion with cells of myeloid  origin or by uptake of tumor DNA present within the circulation  (Figure 2c,d).
Cellular fusion as a source of genomic instability in cancer is an idea that developed originally from studies of fertilization. It was observed in the 1800s that eggs experimentally fertilized with multiple spermatozoa underwent abnormal mitosis, which suggested that similar chromosomal imbalance might result in oncogenesis (reviewed in ). Further work by Aichel and Mekler proposed leukocytes as a potential fusion partner, and that the subsequent acquisition of leukocytic characteristics by tumor epithelial cells could be a prerequisite for the development of a more metastatic phenotype .
Cellular fusion is unequivocally an important part of normal human physiology. Myocytes fuse to form multinucleate skeletal muscle fibers . Osteoclasts, foreign body giant cells and Langhan's giant cells are thought to be formed by fusion of cells of the monocyte/macrophage lineage . Tumors can be significantly populated with macrophages, with the degree of macrophage infiltration being associated with disease outcome (reviewed in ). The presence of high numbers of cells with leukocytic, phagocytic and fusogenic properties in tumors has led a number of investigators to suggest that they may be tumor cell fusion partners, and that it is these cells that endow tumor epithelial cells with many of the characteristics necessary to disseminate and colonize distant sites [49–52].
Early evidence supporting this hypothesis includes a number of experimental transplant systems. In 1974, Goldenberg et al.  reported that transplants of an astrocytic glioma into the cheek pouches of nine immuno-competent hamsters resulted in the outgrowth of a single metastatic tumor that could be serially passaged. Karyotyping of tumor cells revealed the presence of both human and hamster chromosomes, indicating that cellular fusion had occurred. However, analysis of tumor cells in the fifth ascites and fifteenth cheek pouch passage showed massive loss of human chromosomes. These data, plus the previous demonstration that rodent-human hybrids segregate human chromosomes  suggest that the glioma did not acquire metastatic capacity by fusion, rather that a metastatic hamster tumor resulted from the aneuploidy induced by fusion with the human tumor.
Other more convincing evidence of in vivo fusion of tumor and host cells does exist. For example, a number of groups have evidence that fusion can occur between endogenous host cells and transplanted tumor cell lines through the use of syngenic cell lines (for example, [55–58]). However, some of these cell lines were known to be prone to undergoing fusion in vitro, which might have impacted the relevance of these observations to the autochthonous setting. This also raises the question that the hybrids observed in these experiments might be due to artifacts of tissue culture. Contamination with uncharacterized viruses is only one of several caveats that needs to be considered when evaluating these data .
Evidence for spontaneous cellular fusion in solid tumors in humans does exist, however. Two cases of renal carcinoma in bone marrow transplant recipients have been described in which the tumor cells bear markers of both the bone marrow donor and the recipient [60, 61]. Fusion events similar to these would clearly have deleterious effects on the cell, but whether oncogenesis was initiated by cellular fusion or was merely a secondary event that occurred later during tumor growth and evolution is unclear. In addition, whether or not the treatment associated with bone marrow transplantation contributed to the fusion event also has to be considered. A recent study, however, has demonstrated that fusion can occur between an established tumor cell and a normal cell in human neoplasia. Specifically, examination of osteoclast nuclei in myeloma patients demonstrated the presence of myeloma-specific chromosomal translocations . Furthermore, it was postulated that this type of fusion event might contribute to the bone destruction that is a prominent characteristic of this disease.
Whether or not cell fusion occurs frequently in cancer patients and contributes to metastatic progression is still an open question. In vitro fusion of cells can lead to subclones with varying metastatic potentials (for example, [51, 55, 63]). However, metastatic capacity is known to vary within cell lines, as demonstrated by Luria-Delbruck fluctuation analysis . Thus, it is unclear whether the changes in metastatic ability of such hybrids truly represent properties acquired due to fusion or represent stochastic subcloning and selection events, particularly when some of the cell lines used in these experiments were originally derived from metastatic tumors .
Thus, at the present time, there does not appear to be conclusive evidence that cellular fusion plays a significant role in the acquisition of metastatic capacity, which could possibly reflect the fact that it is not a mechanism of metastatic dissemination and growth. Conversely, it may well be indicative of the fact that identifying fusion events of two cells from the same individual in highly aneuploid solid tumors is a dauntingly difficult task. So while acquisition of leukocytic traits by monocyte fusion remains an interesting and potentially attractive hypothesis, it has not gained a significant following in the cancer research community to date.
Gene transfer models
A second, related hypothesis for the acquisition of metastatic capacity is that of horizontal gene transfer. This theory is basically a resurrection of a debate among nineteenth century physicians on whether unknown substances released by primary tumors were responsible for neoplastic conversion of normal cells in secondary sites, or whether cell trafficking of malignant tumor cells occurred. Improved microscopy and histological technology eventually demonstrated that cellular escape of malignant cells from the primary tumor did occur , which ultimately resulted in Paget's seed-soil postulate in 1889 . The idea that metastatic capacity could be induced by horizontal transfer of tumor phenotypes was resuscitated many years later, after it was recognized that circulating tumor DNA was present in animal tumor models  and cancer patients . This theory has been revived again in recent years as the genometastasis hypothesis , which is based on the observation that, in some circumstances, horizontal gene transfer has been observed in experimental systems (for example, ). Specifically, it has been suggested that metastases arise not from circulating cells, but instead from in vivo uptake of circulating DNA by stem cells at the secondary sites . Thus, metastasis would not be the progeny of primary tumors, but instead de novo tumors arising in cancer patients.
A number of observations have limited enthusiasm for this hypothesis. First, this hypothesis does not explain the organ specific tropism of metastases. It has been known for almost 120 years that cancers exhibit specific target organs for dissemination and colonization . Since there is no reason to suspect that circulating DNA does not reach all tissues of the body, the genometastasis hypothesis would require tissue specific uptake or expression of the oncogenic DNA. While this is formally possible, at present there is no evidence for this phenomenon in vivo. Second, the in vivo transfection event would have to result in sufficient uptake of primary tumor DNA to re-program cells at the secondary site so that they consistently resemble the morphology of the primary tumor, as is usually observed [66, 72, 73], rather than a de novo tumor in the target organ. Third, sufficient DNA uptake would have to occur so that the resulting 'metastases' consistently express the molecular markers of the primary tumor organ in the secondary site . The probability of the reproducible occurrence of these events, particularly in cases where large numbers of metastases exist within a patient, is low. Thus, although circulating DNA may be present in patients, logic would seem to mitigate against this being a common mechanism for induction of secondary tumors.
Early oncogenesis models
The application of microarray technology to the problem of metastasis has recently led to a variation of the transient compartment model termed the 'early oncogenesis model'. In 2002 to 2003, two different groups found that by using microarrays to quantify global gene expression patterns in bulk human tumor tissue, it was possible to identify gene signature profiles that can distinguish metastatic and non-metastatic tumors [75, 76]. Since that time, other studies have reported similar findings [77–80].
These results led to a re-examination of the progression model, which states that only a small subpopulation of primary tumor cells will acquire the complete phenotype necessary to successfully colonize distant organs. However, the microarray gene signature expressed by tumors more prone to dissemination is present in bulk tumor tissue, suggesting that the majority of cells within a primary tumor must possess an inherent metastatic capacity. Therefore, a pro-metastatic gene signature expressed within a small subpopulation of cells within a primary tumor, as would be predicted by the progression hypothesis, would be masked by the larger bulk of the tumor.
As a result, several groups have proposed that metastatic propensity is established early in oncogenesis, potentially even by the same sets of activation/inactivation events that result in the primary tumor, an hypothesis that runs contrary to the somatic evolution model [76, 81] (Figure 2e). The early establishment of the metastatic state would result in the bulk of the tumor cells harboring the metastatic gene expression signature. In addition, this hypothesis might explain metastatic disease of unknown primary origin. If the same oncogenic events drove metastasis, then it can easily be imagined how small tumors might immediately begin dissemination and colonization of distant sites.
As with the other models of metastatic progression, caveats exist with this model as well. First, if metastatic behavior is primarily determined by early oncogenic events, then one would predict that the majority of tumor epithelial cells would possess the ability to metastasize, and thus the efficiency of colonization of distant organs would be much higher than observed in clinical practice. In addition, the microarray results do not necessarily rule out the possibility that rare cellular subpopulations exist within primary tumors. Since the gene expression patterns represent an average of all of the cells within the bulk tumor tissue, it is possible that different subpopulations display various components of the metastatic pattern, but only a fraction of the entire program. Finally, this hypothesis is based on the supposition that metastasis gene expression profiles are induced by somatic oncogenic events. It does not account for the other major source of genomic heterogeneity observed in human cancer patients, that of inherited polymorphism.
Genetic predisposition model
The study of how genomic diversity due to inherited polymorphisms affects metastatic progression has been the major focus of our laboratory. Using a highly malignant mammary tumor transgenic mouse model, we demonstrated that the genetic background upon which the tumor arose significantly affected the ability of that tumor to successfully colonize the lung . Since all tumors were induced by the same oncogenic event, the activation of the transgene, these results suggest that inherited polymorphism is a significant factor in addition to whatever metastasis-promoting somatic events occur in the tumor. In addition, since constitutional polymorphisms are present in all tissues of an individual, the effects of metastasis-promoting/suppressing polymorphisms may be apparent in tissues other than just the tumor epithelium. For example, it is possible that subtle variations in lymphocyte function due to germline-encoded differences in cellular function might have a significant impact on immuno-surveillance. This, in turn, could result in a greater or lesser ability to clear disseminated tumor cells at the secondary site.
Following these initial observations, our laboratory has identified the first polymorphic metastasis efficiency gene, Sipa1 . An amino acid polymorphism was identified in mouse strains that reduced both the Rap1GAP activity of this molecule, as well as the ability of the Sipa1 protein to bind its cognate partner, Aqp2. The phenotypic effects of this polymorphism were modeled using RNA interference knockdown, which demonstrated that relatively minor reductions of Sipa1 levels significantly reduced the ability of a highly metastatic mammary tumor cell line to colonize the lung. These results were extended into human samples by performing pilot epidemiology studies, examining non-coding polymorphisms in the human ortholog. These studies demonstrated, as predicted by the mouse results, that polymorphisms in the human SIPA1 gene were associated with markers of poor outcome in a Caucasian population-based breast cancer patient cohort , suggesting that SIPA1, and by extension other polymorphic genes, may play an important role in establishing metastatic susceptibility in humans as well as in mouse (Figure 2f).
These results have important implications that may be used to help resolve some of the paradoxes raised by other models. For example, the early oncogenesis hypothesis is based on the supposition that the prognostic gene expression profiles are due to somatic mutations. It does not take into account the fact that basal gene transcription rates can be significantly different in individuals of different genetic backgrounds. The ability of inherited polymorphism to influence gene transcription has been demonstrated in a number of different studies [85–87], and forms the basis of expression quantitative trait loci analysis. Analysis in our laboratory has demonstrated that at least some of the genes in one prognostic profile are, in fact, differentially expressed in high-versus low-metastatic genotypes . Thus, it is possible that the metastasis predictive gene expression signatures are not just an indication of somatic mutations driving progression, but may also be a measure of inherited metastasis susceptibility segregating throughout the human population.
If this is true, then the progression and early oncogenesis models can be reconciled. Metastasis susceptibility, as reflected by the bulk tumor gene expression patterns, would be established early or before oncogenic transformation, as predicted by the early oncogenesis model. Subsequently, somatic mutations would occur as the tumor evolves until subsets of cells acquire the necessary capabilities to complete the metastatic program, as predicted by the progression model. Importantly, the incorporation of genetic background into these models suggests that assessment of prognosis should be possible using non-tumor tissue, potentially even before cancer develops. If a sufficient fraction of metastasis risk is encoded by germline polymorphisms, rather than autonomous somatic events within the tumor, then any tissue in the body should carry some reflection of that risk. Gene products might be different between tissues, but since the underlying susceptibility polymorphisms are ubiquitous it would be theoretically possible to use any tissue to interrogate an individual's susceptibility state. As a proof of concept, our laboratory was able to show, at least in a mouse model, the ability to roughly define risk groups in mice using salivary gland protein profiles . Whether this would be possible in human patients is currently unknown.
Effect of the microenvironment
An important implication of the effect of genetic background is the fact that it has an impact not only on the primary tumor, but all of the tissues of the body. This would also potentially play a role in establishment of the microenvironment of both primary and metastatic tumor cells. Investigation of the role of the microenvironment in metastasis has become of greater interest in recent years, and has been recognized as a potential major factor in progression. The role of immune cells and bone marrow are two of the areas of interest that have received recent focus. Work by the laboratories of Condeelis and Pollard have focused on the interaction of macrophages and tumor cells in the induction of tumor cell motility and vascular intravasation. Initial studies using the metastatic polyoma middle-T antigen transgenic mouse mammary tumor model  and a knockout of the Csf1 gene demonstrated that depletion of macrophages did not significantly affect primary tumor formation, but resulted in a significant decrease in metastatic burden . Further work by the same laboratories suggests that macrophages play an important role in inducing tumor cell motility at the primary site and may play an important role in the entry of tumor cells into the vasculature . These findings are primarily based upon intervital video microscopy experiments that have revealed the frequent presence of macrophages at the sight of tumor cell penetration into capillaries. Most importantly, these results suggest that active participation of macrophages, and by extension other non-tumor cells, may be important obligate partners during the metastatic process.
Microenvironmental cues are thought to play important roles at the secondary site, as well as at the primary tumor. Recent studies by Lyden and colleagues have demonstrated that primary tumors induce the mobilization of bone marrow derived cells to the metastatic target organs, prior to the arrival of disseminated tumor cells . These cells take residence within the target organ and are thought to establish a 'pre-metastatic niche', a term used to describe a set of novel microenvironmental stimuli that are conducive for tumor cell survival and growth . Thus, the tumor cells both induce changes in the microenvironment by cytokine-mediated mobilization of bone marrow cells, and are subject to the novel conditions that the marrow-derived cells establish in the secondary site.
Metastasis, due to its complex spatial and temporal components, remains an enigma, despite all of our efforts to unravel its complexity. Many observations and hypotheses have been explored to explain the process, a number of which have been briefly described here. In our opinion, none of the proposed theories of metastatic progression can completely explain all of the observed clinical phenotypes. The different theories of metastasis are also not necessarily mutually exclusive. There is the real possibility that many of them are, at least in part, correct, and that there may be a number of different mechanisms by which a tumor cell may successfully colonize distant tissues. How these different potential mechanisms interact, intersect, or share commonality clearly should be a major focus of future research, since a clearer understanding of metastatic disease will be required to significantly reduce cancer morbidity and mortality. Fortunately for the field, new approaches, technologies, and most importantly, ideas are appearing within the literature and throughout different research laboratories. With these tools, hard work, and perhaps a little luck, we will be able to further unravel the inner workings of tumor progression and metastasis in the coming years and shed light on the mechanism(s) that drive the most lethal aspect of neoplastic growth.
We apologize to the many colleagues whose work was not cited in this manuscript due to space limitations. This research was supported by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research.
This article is published as part of Breast Cancer Research Volume 10 Supplement 1, 2008: The Scientific Basis of Breast Cancer http://breast-cancer-research.com/content/10/S1.
- Al-Mehdi AB, Tozawa K, Fisher AB, Shientag L, Lee A, Muschel RJ: Intravascular origin of metastasis from the proliferation of endothelium-attached tumor cells: a new model for metastasis. Nat Med. 2000, 6: 100-102.View ArticlePubMedGoogle Scholar
- Liotta LA, Stetler-Stevenson WG: Principles of Molecular Cell Biology of Cancer: Cancer Metastasis. 1993, Philadelphia, PA: JB Lippincott Co., 4Google Scholar
- Schmidt-Kittler O, Ragg T, Daskalakis A, Granzow M, Ahr A, Blankenstein TJ, Kaufmann M, Diebold J, Arnholdt H, Muller P, Bischoff J, Harich D, Schlimok G, Riethmuller G, Eils R, Klein CA: From latent disseminated cells to overt metastasis: genetic analysis of systemic breast cancer progression. Proc Natl Acad Sci USA. 2003, 100: 7737-7742.View ArticlePubMedPubMed CentralGoogle Scholar
- Heimann R, Lan F, McBride R, Hellman S: Separating favorable from unfavorable prognostic markers in breast cancer: the role of E-cadherin. Cancer Res. 2000, 60: 298-304.PubMedGoogle Scholar
- Heimann R, Hellman S: Clinical progression of breast cancer malignant behavior: what to expect and when to expect it. J Clin Oncol. 2000, 18: 591-599.PubMedGoogle Scholar
- Butler TP, Gullino PM: Quantitation of cell shedding into efferent blood of mammary adenocarcinoma. Cancer Res. 1975, 35: 512-516.PubMedGoogle Scholar
- Tarin D, Price JE, Kettlewell MG, Souter RG, Vass AC, Crossley B: Mechanisms of human tumor metastasis studied in patients with peritoneovenous shunts. Cancer Res. 1984, 44: 3584-3592.PubMedGoogle Scholar
- Weiss L, Nannmark U, Johansson BR, Bagge U: Lethal deformation of cancer cells in the microcirculation: a potential rate regulator of hematogenous metastasis. Int J Cancer. 1992, 50: 103-107.View ArticlePubMedGoogle Scholar
- Luzzi KJ, MacDonald IC, Schmidt EE, Kerkvliet N, Morris VL, Chambers AF, Groom AC: Multistep nature of metastatic inefficiency: dormancy of solitary cells after successful extravasation and limited survival of early micrometastases. Am J Pathol. 1998, 153: 865-873.View ArticlePubMedPubMed CentralGoogle Scholar
- Riethmuller G, Klein CA: Early cancer cell dissemination and late metastatic relapse: clinical reflections and biological approaches to the dormancy problem in patients. Semin Cancer Biol. 2001, 11: 307-311.View ArticlePubMedGoogle Scholar
- Wong CW, Lee A, Shientag L, Yu J, Dong Y, Kao G, Al-Mehdi AB, Bernhard EJ, Muschel RJ: Apoptosis: an early event in metastatic inefficiency. Cancer Res. 2001, 61: 333-338.PubMedGoogle Scholar
- Nowell PC: The clonal evolution of tumor cell populations. Science. 1976, 194: 23-28.View ArticlePubMedGoogle Scholar
- Fidler IJ, Kripke ML: Metastasis results from preexisting variant cells within a malignant tumor. Science. 1977, 197: 893-895.View ArticlePubMedGoogle Scholar
- Kang Y, Siegel PM, Shu W, Drobnjak M, Kakonen SM, Cordon-Cardo C, Guise TA, Massague J: A multigenic program mediating breast cancer metastasis to bone. Cancer Cell. 2003, 3: 537-549.View ArticlePubMedGoogle Scholar
- Minn AJ, Gupta GP, Siegel PM, Bos PD, Shu W, Giri DD, Viale A, Olshen AB, Gerald WL, Massague J: Genes that mediate breast cancer metastasis to lung. Nature. 2005, 436: 518-524.View ArticlePubMedPubMed CentralGoogle Scholar
- Minn AJ, Kang Y, Serganova I, Gupta GP, Giri DD, Doubrovin M, Ponomarev V, Gerald WL, Blasberg R, Massague J: Distinct organ-specific metastatic potential of individual breast cancer cells and primary tumors. J Clin Invest. 2005, 115: 44-55.View ArticlePubMedPubMed CentralGoogle Scholar
- Kauffman EC, Robinson VL, Stadler WM, Sokoloff MH, Rinker-Schaeffer CW: Metastasis suppression: the evolving role of metastasis suppressor genes for regulating cancer cell growth at the secondary site. J Urol. 2003, 169: 1122-1133.View ArticlePubMedGoogle Scholar
- Steeg PS: Metastasis suppressors alter the signal transduction of cancer cells. Nat Rev Cancer. 2003, 3: 55-63.View ArticlePubMedGoogle Scholar
- Wick W, Petersen I, Schmutzler RK, Wolfarth B, Lenartz D, Bierhoff E, Hümmerich J, Müller DJ, Stangl AP, Schramm J, Wiestler OD, von Deimling A: Evidence for a novel tumor suppressor gene on chromosome 15 associated with progression to a metastatic stage in breast cancer. Oncogene. 1996, 12: 973-978.PubMedGoogle Scholar
- Sekita N, Suzuki H, Ichikawa T, Kito H, Akakura K, Igarashi T, Nakayama T, Watanabe M, Shiraishi T, Toyota M, Yoshie O, Ito H: Epigenetic regulation of the KAI1 metastasis suppressor gene in human prostate cancer cell lines. Jpn J Cancer Res. 2001, 92: 947-951.View ArticlePubMedGoogle Scholar
- Chambers AF, Harris JF, Ling V, Hill RP: Rapid phenotype variation in cells derived from lung metastases of KHT fibrosarcoma. Invasion Metastasis. 1984, 4: 225-237.PubMedGoogle Scholar
- Harris JF, Chambers AF, Hill RP, Ling V: Metastatic variants are generated spontaneously at a high rate in mouse KHT tumor. Proc Natl Acad Sci USA. 1982, 79: 5547-5551.View ArticlePubMedPubMed CentralGoogle Scholar
- Weiss L: Metastatic inefficiency. Adv Cancer Res. 1990, 54: 159-211.View ArticlePubMedGoogle Scholar
- Trainer DL, Kline T, Hensler G, Greig R, Poste G: Clonal analysis of the malignant properties of B16 melanoma cells treated with the DNA hypomethylating agent 5-azacytidine. Clin Exp Metastasis. 1988, 6: 185-200.View ArticlePubMedGoogle Scholar
- Ishikawa M, Okada F, Hamada J, Hosokawa M, Kobayashi H: Changes in the tumorigenic and metastatic properties of tumor cells treated with quercetin or 5-azacytidine. Int J Cancer. 1987, 39: 338-342.View ArticlePubMedGoogle Scholar
- Kerbel RS, Frost P, Liteplo R, Carlow DA, Elliott BE: Possible epigenetic mechanisms of tumor progression: induction of high-frequency heritable but phenotypically unstable changes in the tumorigenic and metastatic properties of tumor cell populations by 5-azacytidine treatment. J Cell Physiol Suppl. 1984, 3: 87-97.View ArticlePubMedGoogle Scholar
- Olsson L, Forchhammer J: Induction of the metastatic phenotype in a mouse tumor model by 5-azacytidine, and characterization of an antigen associated with metastatic activity. Proc Natl Acad Sci USA. 1984, 81: 3389-3393.View ArticlePubMedPubMed CentralGoogle Scholar
- Stopper H, Pechan R, Schiffmann D: 5-azacytidine induces micronuclei in and morphological transformation of Syrian hamster embryo fibroblasts in the absence of unscheduled DNA synthesis. Mutat Res. 1992, 283: 21-28.View ArticlePubMedGoogle Scholar
- Frost P, Kerbel RS, Hunt B, Man S, Pathak S: Selection of metastatic variants with identifiable karyotypic changes from a nonmetastatic murine tumor after treatment with 2'-deoxy-5-azacytidine or hydroxyurea: implications for the mechanisms of tumor progression. Cancer Res. 1987, 47: 2690-2695.PubMedGoogle Scholar
- Ried T, Heselmeyer-Haddad K, Blegen H, Schrock E, Auer G: Genomic changes defining the genesis, progression, and malignancy potential in solid human tumors: a phenotype/genotype correlation. Genes Chromosomes Cancer. 1999, 25: 195-204.View ArticlePubMedGoogle Scholar
- Fidler IJ: Critical determinants of cancer metastasis: rationale for therapy. Cancer Chemother Pharmacol. 1999, 43 (Suppl): S3-10.View ArticlePubMedGoogle Scholar
- Nakayama T, Taback B, Turner R, Morton DL, Hoon DS: Molecular clonality of in-transit melanoma metastasis. Am J Pathol. 2001, 158: 1371-1378.View ArticlePubMedPubMed CentralGoogle Scholar
- Chambers AF, Wilson S: Use of NeoR B16F1 murine melanoma cells to assess clonality of experimental metastases in the immune-deficient chick embryo. Clin Exp Metastasis. 1988, 6: 171-182.View ArticlePubMedGoogle Scholar
- Cheung ST, Chen X, Guan XY, Wong SY, Tai LS, Ng IO, So S, Fan ST: Identify metastasis-associated genes in hepatocellular carcinoma through clonality delineation for multinodular tumor. Cancer Res. 2002, 62: 4711-4721.PubMedGoogle Scholar
- Fidler IJ, Yano S, Zhang RD, Fujimaki T, Bucana CD: The seed and soil hypothesis: vascularisation and brain metastases. Lancet Oncol. 2002, 3: 53-57.View ArticlePubMedGoogle Scholar
- Talmadge JE, Wolman SR, Fidler IJ: Evidence for the clonal origin of spontaneous metastases. Science. 1982, 217: 361-363.View ArticlePubMedGoogle Scholar
- Fidler IJ, Talmadge JE: Evidence that intravenously derived murine pulmonary melanoma metastases can originate from the expansion of a single tumor cell. Cancer Res. 1986, 46: 5167-5171.PubMedGoogle Scholar
- Nicolson GL, Dulski KM, Trosko JE: Loss of intercellular junctional communication correlates with metastatic potential in mammary adenocarcinoma cells. Proc Natl Acad Sci USA. 1988, 85: 473-476.View ArticlePubMedPubMed CentralGoogle Scholar
- Ito A, Katoh F, Kataoka TR, Okada M, Tsubota N, Asada H, Yoshikawa K, Maeda S, Kitamura Y, Yamasaki H, Nojima H: A role for heterologous gap junctions between melanoma and endothelial cells in metastasis. J Clin Invest. 2000, 105: 1189-1197.View ArticlePubMedPubMed CentralGoogle Scholar
- Mori M, Sawada N, Kokai Y, Satoh M: Role of tight junctions in the occurrence of cancer invasion and metastasis. Med Electron Microsc. 1999, 32: 193-198.PubMedGoogle Scholar
- Wang W, Wyckoff JB, Frohlich VC, Oleynikov Y, Hüttelmaier S, Zavadil J, Cermak L, Bottinger EP, Singer RH, White JG, Segall JE, Condeelis JS: Single cell behavior in metastatic primary mammary tumors correlated with gene expression patterns revealed by molecular profiling. Cancer Res. 2002, 62: 6278-6288.PubMedGoogle Scholar
- Wolf K, Mazo I, Leung H, Engelke K, von Andrian UH, Deryugina EI, Strongin AY, Brocker EB, Friedl P: Compensation mechanism in tumor cell migration: mesenchymal-amoeboid transition after blocking of pericellular proteolysis. J Cell Biol. 2003, 160: 267-277.View ArticlePubMedPubMed CentralGoogle Scholar
- Pawelek JM: Tumour-cell fusion as a source of myeloid traits in cancer. Lancet Oncol. 2005, 6: 988-993.View ArticlePubMedGoogle Scholar
- Garcia-Olmo D, Garcia-Olmo DC: Functionality of circulating DNA: the hypothesis of genometastasis. Ann N Y Acad Sci. 2001, 945: 265-275.View ArticlePubMedGoogle Scholar
- Pawelek JM: Tumour cell hybridization and metastasis revisited. Melanoma Res. 2000, 10: 507-514.View ArticlePubMedGoogle Scholar
- Okazaki K, Holtzer H: Myogenesis: fusion, myosin synthesis, and the mitotic cycle. Proc Natl Acad Sci USA. 1966, 56: 1484-1490.View ArticlePubMedPubMed CentralGoogle Scholar
- Anderson JM: Multinucleated giant cells. Curr Opin Hematol. 2000, 7: 40-47.View ArticlePubMedGoogle Scholar
- Pollard JW: Tumour-educated macrophages promote tumour progression and metastasis. Nat Rev Cancer. 2004, 4: 71-78.View ArticlePubMedGoogle Scholar
- Munzarova M, Kovarik J: Is cancer a macrophage-mediated autoaggressive disease?. Lancet. 1987, 1: 952-954.View ArticlePubMedGoogle Scholar
- Pawelek J, Chakraborty A, Lazova R, Yilmaz Y, Cooper D, Brash D, Handerson T: Co-opting macrophage traits in cancer progression: a consequence of tumor cell fusion?. Contrib Microbiol. 2006, 13: 138-155.View ArticlePubMedGoogle Scholar
- Rachkovsky M, Sodi S, Chakraborty A, Avissar Y, Bolognia J, McNiff JM, Platt J, Bermudes D, Pawelek J: Melanoma × macrophage hybrids with enhanced metastatic potential. Clin Exp Metastasis. 1998, 16: 299-312.View ArticlePubMedGoogle Scholar
- Vignery A: Macrophage fusion: are somatic and cancer cells possible partners?. Trends Cell Biol. 2005, 15: 188-193.View ArticlePubMedGoogle Scholar
- Goldenberg DM, Pavia RA, Tsao MC: In vivo hybridisation of human tumour and normal hamster cells. Nature. 1974, 250: 649-651.View ArticlePubMedGoogle Scholar
- Jami J, Grandchamp S: Karyological properties of human-mouse somatic hybrids. Proc Natl Acad Sci USA. 1971, 68: 3097-3101.View ArticlePubMedPubMed CentralGoogle Scholar
- De Baetselier P, Roos E, Brys L, Remels L, Feldman M: Generation of invasive and metastatic variants of a non-metastatic T-cell lymphoma by in vivo fusion with normal host cells. Int JCancer. 1984, 34: 731-738.View ArticleGoogle Scholar
- Kerbel RS, Lagarde AE, Dennis JW, Donaghue TP: Spontaneous fusion in vivo between normal host and tumor cells: possible contribution to tumor progression and metastasis studied with a lectin-resistant mutant tumor. Mol Cell Biol. 1983, 3: 523-538.View ArticlePubMedPubMed CentralGoogle Scholar
- Pratt NR, Rees RC, Potter CW: In vivo tumour × host cell fusion in spontaneous Syrian hamster metastasis. Eur J Cancer Clin Oncol. 1989, 25: 1809-1816.View ArticlePubMedGoogle Scholar
- Busund LT, Killie MK, Bartnes K, Seljelid R: Spontaneously formed tumorigenic hybrids of Meth A sarcoma cells and macrophages in vivo. Int J Cancer. 2003, 106: 153-159.View ArticlePubMedGoogle Scholar
- Lagarde AE, Kerbel RS: Somatic cell hybridization in vivo and in vitro in relation to the metastatic phenotype. Biochim Biophys Acta. 1985, 823: 81-110.PubMedGoogle Scholar
- Chakraborty A, Lazova R, Davies S, Backvall H, Ponten F, Brash D, Pawelek J: Donor DNA in a renal cell carcinoma metastasis from a bone marrow transplant recipient. Bone Marrow Transplant. 2004, 34: 183-186.View ArticlePubMedGoogle Scholar
- Yilmaz Y, Lazova R, Qumsiyeh M, Cooper D, Pawelek J: Donor Y chromosome in renal carcinoma cells of a female BMT recipient: visualization of putative BMT-tumor hybrids by FISH. Bone Marrow Transplant. 2005, 35: 1021-1024.View ArticlePubMedGoogle Scholar
- Andersen TL, Boissy P, Sondergaard TE, Kupisiewicz K, Plesner T, Rasmussen T, Haaber J, Kolvraa S, Delaisse JM: Osteoclast nuclei of myeloma patients show chromosome translocations specific for the myeloma cell clone: a new type of cancer-host partnership?. J Pathol. 2007, 211: 10-17.View ArticlePubMedGoogle Scholar
- Miller FR, Mohamed AN, McEachern D: Production of a more aggressive tumor cell variant by spontaneous fusion of two mouse tumor subpopulations. Cancer Res. 1989, 49: 4316-4321.PubMedGoogle Scholar
- Hill RP, Chambers AF, Ling V, Harris JF: Dynamic heterogeneity: rapid generation of metastatic variants in mouse B16 melanoma cells. Science. 1984, 224: 998-1001.View ArticlePubMedGoogle Scholar
- Loustalot P, Algire GH, Legallais FY, Anderson BF: Growth and histopathology of melanotic and amelanotic derivatives of the Cloudman melanoma S91. J Natl Cancer Inst. 1952, 12: 1079-1117.PubMedGoogle Scholar
- Tarin D: Tumor metastasis. Oxford Textbook of Pathology. Edited by: O'D MJ, Isaacson P, Wright N. 1992, Oxford, UK: Oxford University Press, 607-633.Google Scholar
- Paget S: The distribution of secondary growths in cancer of the breast. Lancet. 1889, 1: 571-579.View ArticleGoogle Scholar
- Bendich A, Wilczok T, Borenfreund E: Circulating DNA as a possible factor in oncogenesis. Science. 1965, 148: 374-376.View ArticlePubMedGoogle Scholar
- Leon SA, Shapiro B, Sklaroff DM, Yaros MJ: Free DNA in the serum of cancer patients and the effect of therapy. Cancer Res. 1977, 37: 646-650.PubMedGoogle Scholar
- Bergsmedh A, Szeles A, Henriksson M, Bratt A, Folkman MJ, Spetz AL, Holmgren L: Horizontal transfer of oncogenes by uptake of apoptotic bodies. Proc Natl Acad Sci USA. 2001, 98: 6407-6411.View ArticlePubMedPubMed CentralGoogle Scholar
- Garcia-Olmo DC, Ruiz-Piqueras R, Garcia-Olmo D: Circulating nucleic acids in plasma and serum (CNAPS) and its relation to stem cells and cancer metastasis: state of the issue. Histol Histopathol. 2004, 19: 575-583.PubMedGoogle Scholar
- Kramer SA, Farnham R, Glenn JF, Paulson DF: Comparative morphology of primary and secondary deposits of prostatic adenocarcinoma. Cancer. 1981, 48: 271-273.View ArticlePubMedGoogle Scholar
- Johnson DE, Appelt G, Samuels ML, Luna M: Metastases from testicular carcinoma. Study of 78 autopsied cases. Urology. 1976, 8: 234-239.View ArticlePubMedGoogle Scholar
- Guy CT, Cardiff RD, Muller WJ: Induction of mammary tumors by expression of polyomavirus middle T oncogene: a transgenic mouse model for metastatic disease. MCB. 1992, 12: 954-961.View ArticlePubMedPubMed CentralGoogle Scholar
- van't Veer LJ, Dai H, Vijver van de MJ, He YD, Hart AA, Mao M, Peterse HL, Kooy van der K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH: Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002, 415: 530-536.View ArticleGoogle Scholar
- Ramaswamy S, Ross KN, Lander ES, Golub TR: A molecular signature of metastasis in primary solid tumors. Nat Genet. 2003, 33: 49-54.View ArticlePubMedGoogle Scholar
- Wang Y, Klijn JG, Zhang Y, Sieuwerts AM, Look MP, Yang F, Talantov D, Timmermans M, Meijer-van Gelder ME, Yu J, Jatkoe T, Berns EM, Atkins D, Foekens JA: Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet. 2005, 365: 671-679.View ArticlePubMedGoogle Scholar
- Chang HY, Sneddon JB, Alizadeh AA, Sood R, West RB, Montgomery K, Chi JT, Rijn van de M, Botstein D, Brown PO: Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds. PLoS Biol. 2004, 2: E7-View ArticlePubMedPubMed CentralGoogle Scholar
- Nuyten DS, Kreike B, Hart AA, Chi JT, Sneddon JB, Wessels LF, Peterse HJ, Bartelink H, Brown PO, Chang HY, Vijver van de MJ: Predicting a local recurrence after breast-conserving therapy by gene expression profiling. Breast Cancer Res. 2006, 8: R62-View ArticlePubMedPubMed CentralGoogle Scholar
- Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, Baehner FL, Walker MG, Watson D, Park T, Hiller W, Fisher ER, Wickerham DL, Bryant J, Wolmark N: A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004, 351: 2817-2826.View ArticlePubMedGoogle Scholar
- Bernards R, Weinberg RA: A progression puzzle. Nature. 2002, 418: 823-View ArticlePubMedGoogle Scholar
- Lifsted T, Le Voyer T, Williams M, Muller W, Klein-Szanto A, Buetow KH, Hunter KW: Identification of inbred mouse strains harboring genetic modifiers of mammary tumor age of onset and metastatic progression. Int J Cancer. 1998, 77: 640-644.View ArticlePubMedGoogle Scholar
- Park YG, Zhao X, Lesueur F, Lowy DR, Lancaster M, Pharoah P, Qian X, Hunter KW: Sipa1 is a candidate for underlying the metastasis efficiency modifier locus Mtes1. Nat Genet. 2005, 37: 1055-1062.View ArticlePubMedPubMed CentralGoogle Scholar
- Crawford NP, Ziogas A, Peel DJ, Hess J, Anton-Culver H, Hunter KW: Germline polymorphisms in SIPA1 are associated with metastasis and other indicators of poor prognosis in breast cancer. Breast Cancer Res. 2006, 8: R16-View ArticlePubMedPubMed CentralGoogle Scholar
- Schadt EE, Monks SA, Drake TA, Lusis AJ, Che N, Colinayo V, Ruff TG, Milligan SB, Lamb JR, Cavet G, Linsley PS, Mao M, Stoughton RB, Friend SH: Genetics of gene expression surveyed in maize, mouse and man. Nature. 2003, 422: 297-302.View ArticlePubMedGoogle Scholar
- Bystrykh L, Weersing E, Dontje B, Sutton S, Pletcher MT, Wiltshire T, Su AI, Vellenga E, Wang J, Manly KF, Lu L, Chesler EJ, Alberts R, Jansen RC, Williams RW, Cooke MP, de Haan G: Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'. Nat Genet. 2005, 37: 225-232.View ArticlePubMedGoogle Scholar
- Chesler EJ, Lu L, Shou S, Qu Y, Gu J, Wang J, Hsu HC, Mountz JD, Baldwin NE, Langston MA, Threadgill DW, Manly KF, Williams RW: Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function. Nat Genet. 2005, 37: 233-242.View ArticlePubMedGoogle Scholar
- Yang H, Crawford N, Lukes L, Finney R, Lancaster M, Hunter KW: Metastasis predictive signature profiles pre-exist in normal tissues. Clin Exp Metastasis. 2005, 22: 593-603.View ArticlePubMedGoogle Scholar
- Lin EY, Nguyen AV, Russell RG, Pollard JW: Colony-stimulating factor 1 promotes progression of mammary tumors to malignancy. J Exp Med. 2001, 193: 727-740.View ArticlePubMedPubMed CentralGoogle Scholar
- Wyckoff JB, Wang Y, Lin EY, Li JF, Goswami S, Stanley ER, Segall JE, Pollard JW, Condeelis J: Direct visualization of macrophage-assisted tumor cell intravasation in mammary tumors. Cancer Res. 2007, 67: 2649-2656.View ArticlePubMedGoogle Scholar
- Kaplan RN, Riba RD, Zacharoulis S, Bramley AH, Vincent L, Costa C, MacDonald DD, Jin DK, Shido K, Kerns SA, Zhu Z, Hicklin D, Wu Y, Port JL, Altorki N, Port ER, Ruggero D, Shmelkov SV, Jensen KK, Rafii S, Lyden D: VEGFR1-positive haematopoietic bone marrow progenitors initiate the pre-metastatic niche. Nature. 2005, 438: 820-827.View ArticlePubMedPubMed CentralGoogle Scholar