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LETTER TO THE EDITOR 
STEM CELLS AND DEVELOPMENT 
Volume 21, Number 4, 2012 
 Mary Ann Liebert, Inc. 
DOI: 10.1089/scd.2011.0267 
Control Dominating Subclones for Managing Cancer 
Progression and Posttreatment Recurrence by Subclonal 
Switchboard Signal: Implication for New Therapies 
Shengwen Calvin Li,1 Katherine L. Lee,1 and Jane Luo2 
In contrast to hematological malignancies, meaningful improvements in survival statistics for patients with 
malignant brain tumors have not been realized in  40 years of clinical research. Clearly, a new medical ap-proach 
to brain cancers is needed. Recent research has led to a new concept that needs to destroy all cancer 
subclones to control the cancer progression. However, this new concept fails to distinguish the difference 
between dominating subclones and dormant subclones. Here, we address the issue of clonal switch and em-phasize 
that there may be one or more than one dominant clones within the tumor mass at any time. Destructing 
one dominant clone triggers activating other dormant subclones to become dominating subclones, causing 
cancer progress and post-treatment cancer recurrence. We postulate the concept of subclonal switchboard sig-naling 
and the pathway that involved in this process. In the context of stem cell and development, there is a 
parallel with the concept of quiescent/dormant cancer stem cells (CSC) and their progeny, the differentiated 
cancer cells; these 2 populations communicate and co-exist. The mechanism with which determines to extend 
self-renewal and expansion of CSC is needed to elucidate. We suggest eliminating the ‘‘dominating subclonal 
switchboard signals’’ that shift the dormant subclones to dominating subclones as a new strategy. 
Background 
The long-term survival for patients with solid cancers 
has remained almost zero even though multiple billion 
dollars have been spent since U.S. President Richard Nixon 
declared war on cancer in 1971 [1]. Over 1.4 million people in 
the United States were found to have cancer in 2007, and the 
national cost of the disease was over $206 billion in 2006, 
accounting one-third of healthcare dollars (total: $686 billion) 
spent in the United States [2]. An estimated 18,820 new cases of 
brain cancer were diagnosed in the United States of America in 
2006, and  12,000 would die of the disease (data from the 
National Cancer Institute of the United States ofAmerica). Our 
current forms of therapy for these diseases are brain surgery, 
followed by administration of toxic drugs and exposure to ra-diation, 
which lead that the patients face challenges because of 
both the effects of treatment and potential neurological dys-function. 
Overall, the cost of care per patient was $67,887, with 
accrued mean monthly healthcare costs that were 20 times 
higher than demographically similar individuals without can-cer 
($6,364 vs. $277) [3].Malignant gliomas are, for all practical 
purposes, incurable and new therapeutic approaches are des-perately 
needed. Darren J. Burgess suggested that developing 
therapies that would target all subclones should be the future 
direction in ResearchHighlights [3].However,wewould argue 
that we should block the subclonal switchboard signals (SSS) 
that shift dominating subclones on disease progression and 
post-treatment. Here, we discuss the SSS hypothesis and its 
implication for new therapies. 
The Hypotheses 
Burgess’ conclusion was based on 2 Nature articles on 
genetic complexity and heterogeneity of cancer. Anderson 
and colleagues found that the classic model of the linear 
clonal evolution could not explain their data because multi-ple 
subpopulations (also known as subclones) co-exist [4]. 
Burgess proposed a hypothesis, ‘‘genetic heterogeneity and 
the branching evolutionary trajectories,’’ to explain the Dar-winian 
perspective of evolving these leukemia-initiating 
cells [3]. Surprisingly, Notta and colleague reported that 
these co-existed subclones of many leukemia patient samples 
co-evolve during disease progression and post-treatment 
relapse by shifting subclonal dominance [5]. Most impor-tantly, 
this shifting subclonal dominance can reproduce by 
using transplantation assays. 
1Neuro-Oncology and Stem Cell Research Laboratory, CHOC Children’s Hospital Research Institute, University of California Irvine, 
Orange, California. 
2Beckman Coulter, Inc., Brea, California. 
503
504 LETTER TO THE EDITOR 
Here, we provide a new hypothesis that this shifting 
subclonal dominance is controlled by the subclonal SSS (Fig. 
1). Using experimental models [3,5], we can decipher these 
SSS, so we can specifically block their signal transduction 
and stop the subclonal switchboard function. However, we 
must be ready to co-exist with the cancer cells in our body. 
These cancer stem cells (CSC) may be not detrimental as long 
as we can keep them in surveillance. 
Emerging evidence supports the SSS concept. Cancer cells 
have been traditionally treated as invading aliens, which 
must be completely destroyed and removed. We may, 
however, argue for the need to view cancer differently from 
traditionally. We and others have found that similarities and 
overlapping mechanisms between induced cell plasticity and 
cancer formation shed new light on the emerging picture of 
p53 sitting at the crossroads between 2 intricate cellular po-tentials: 
stem cell versus cancer cell generation [6] and reg-ulating 
the quiescence and self-renewal of hematopoietic 
stem cells [7]. We may over-react toward cancer cells, ‘‘the 
invading aliens,’’ which lead to over-treating and injure our 
own body by using aggressive multi-modalities (surgery, 
radiation, and chemotherapies) [8]. Perhaps, we ought to 
consider that cancer cells share similar citizenship, de-manding 
to survive on the Earth because their survivorship 
is driven by their evolutional driving force [9]. Sustaining the 
biodiversity and heterogeneity may balance organisms or 
organs out of the hostile environment [10,11]. As such, 
managing tumor growth rather than eliminating it should be 
a new guideline for treating tumors. The eliminating-cancer 
treatments drive producing populations of drug-resistant 
tumor cells upon eliminating the drug-sensitive cells while 
managing tumor growth to treat tumors with minimum 
doses of drug so as to modulate the survival of some drug-sensitive 
cells [12,13]. This treatment paradigm may help the 
drug-sensitive cells out-compete the resistant ones upon 
completion of drug treatment, thereby keeping tumors alive 
but small and manageable [1,14]. 
‘‘Keeping tumors alive but small and manageable’’ sounds 
a reasonable strategy. However, how can we manage tumor 
growth rather than eliminate it? We argue that managing SSS 
may be an effective strategy. 
Implications of the Hypothesis 
Understanding the mechanisms for SSS will provide new 
insights to develop anti-cancer therapies. The SSS may be 
activated upon eliminating a drug-sensitive dominant sub-clonal 
population, and SSS may activate a neighboring dor-mant 
subclone within a microenvironment (tumor) or traffic 
out of the tumor microenvironment (Fig. 2). Upon charac-terization 
of SSS, we can better detect and control the out-breaks 
of SSS-driven cancers with defensive strategies for 
disruptions of SSS signal transduction during different stages 
of tumorigenesis and cancer progression. 
A defining feature of SSS system is the presence of mul-tiple 
structural elements specializing in distinct biological 
functions. As a general rule, these elements can stably 
maintain their identity over long periods despite fluctuations 
in their external physiological environment and internal 
regulatory networks [15]. Tumor–tissue barrier (physical 
boundary) may maintain the intra-tumor pressure during 
tumor development [16]. The quiescent/dormant CSC and 
their progeny, the differentiated cancer cells, may commu-nicate 
and co-exist within the tumor microenvironment. 
Leakage of the tumor–tissue barrier via treatments (surgery, 
radiation, and chemotherapy) may lead to change the intra-tumor 
pressure that may act as a physical SSS signal to wake 
up a dormant subclone. How this is achieved at the molec-ular 
level is a central but poorly understood question. An 
interesting finding was that the matrix elasticity (physical 
signal) activates the stem cell differentiation signal pathway, 
directing the organ-specific stem cell lineage specification 
[17–19]. The nature of the chemical-based SSS signals and the 
pathways that involved in the signaling process are not well 
FIG. 1. Subclonal switchboard sig-nals 
(SSS) as mechanisms for leading 
to shift dominating subclones as trig-gered 
by environmental cues (stress) 
for cancer progression and post-treat-ment. 
A cancer subclone may gain a 
mutation that, in the appropriate en-vironment 
cue, leads to dominating 
subclonal activation due to positive 
selection. Showed lettering and lines/ 
arrows in black color is the current 
concept of treatment strategy for can-cer- 
dominant subclonal cells (cancer 
stem cells) that may acquire a muta-tion, 
in the suitable environment, 
triggering to dominating subclonal 
expansion and growth. When this 
dominating subclone is specifically 
destroyed, it sends out dominating 
subclonal-SSS to a dormant/quiescent 
subclonal cell, which gets activated for 
dominating subclonal expansion and 
growth.
LETTER TO THE EDITOR 505 
understood. Some examples of the SSS signals may be cy-tokines 
[20,21], growth factors [22], angiogenesis factors 
[23,24], and the balance of their expression levels [25]. In-deed, 
irradiation of mouse bone marrow stromal cell lines 
induces release of significant levels of transforming growth 
factor (TGF)-beta into the tissue culture medium despite the 
lack of a detectable increase in TGF-beta mRNA [26]. TGF-beta 
regulates the coexistence and interconvertibility of CSCs 
that sustain tumor growth through their ability to self-renew 
and to generate differentiated progeny [27]. 
It is possible that SSS is maintained by modifying host 
gene products. This model predicts, for example, that many 
host gene products changes after the host is treated by an 
anti-tumor agent. This is in line with the recognition that 
there is a combined effect of 2 distinct inputs: positive and 
negative. The positive inputs from the SSS may be to activate 
biological events that favor the host, and the negative inputs 
may be detrimental to the host. 
We can design a comprehensive strategy that allows the 
systematic identification of those inputs from the SSS. Spe-cifically, 
we can fundamentally define the SSS by execution 
of the following experiments: 
1. assess the time-course of dominant subclonal formation 
in vivo; 
2. determine the biochemical nature of SSS molecules 
upon dominant subclonal destruction; 
3. activate the dormant (quiescent) cancer subclone using 
SSS molecules. 
The SSS hypothesis has broad impact on many areas of 
biology and medicine, including developmental biology, 
stem cell biology, cancer biology, aging, epigenetics, func-tional 
genomics, systems biology, regenerative medicine, 
molecular diagnostics, and drug discovery. For example, it 
implies that cancers and neurodegenerative disorders may 
be governed by the same SSS mechanism, which escapes the 
host surveillance system for their subclonal reproduction. 
The organizational structure of normal epithelium may be 
such a host surveillance system [12], and the tumor micro-environment 
may evolve in the SSS production and traffic 
[28]. Noninvasive monitoring of intra-tumor SSS behavior 
in vivo is potentially useful for evaluating the efficacy of 
FIG. 2. Blockade of the dominating 
subclonal SSS as a new therapeutic strat-egy 
to suppress the dominating subclone 
shift to control cancer progression and 
post-treatment cancer recurrence. Showed 
is the proposed new treatment paradigm 
that should target the subclonal-SSS. 
Blocking the dominating subclonal SSS 
leads to subclonal quiescence, so keeping 
tumors alive but small and manageable 
(dormant/quiescent subclone). 
individual treatment responses with prognostic value in the 
clinic [29]. However, understanding the SSS-evolved host 
surveillance for cancer suppression mechanisms is essential 
to defining the first steps of tumorigenesis and developing 
rational cancer prevention strategies. 
Author Disclosure Statement 
No competing financial interests exist. 
References 
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506 LETTER TO THE EDITOR 
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Address correspondence to: 
Dr. Shengwen Calvin Li 
Neuro-Oncology and Stem Cell Research Laboratory 
CHOC Children’s Hospital Research Institute 
University of California Irvine 
455 South Main Street 
Orange, CA 92868 
E-mail: shengwel@uci.edu 
Received for publication May 26, 2011 
Accepted after revision September 20, 2011 
Prepublished on Liebert Instant Online September 20, 2011

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Li_Lee_Luo_SubclonalSwitchingBoard_scd.2012

  • 1. LETTER TO THE EDITOR STEM CELLS AND DEVELOPMENT Volume 21, Number 4, 2012 Mary Ann Liebert, Inc. DOI: 10.1089/scd.2011.0267 Control Dominating Subclones for Managing Cancer Progression and Posttreatment Recurrence by Subclonal Switchboard Signal: Implication for New Therapies Shengwen Calvin Li,1 Katherine L. Lee,1 and Jane Luo2 In contrast to hematological malignancies, meaningful improvements in survival statistics for patients with malignant brain tumors have not been realized in 40 years of clinical research. Clearly, a new medical ap-proach to brain cancers is needed. Recent research has led to a new concept that needs to destroy all cancer subclones to control the cancer progression. However, this new concept fails to distinguish the difference between dominating subclones and dormant subclones. Here, we address the issue of clonal switch and em-phasize that there may be one or more than one dominant clones within the tumor mass at any time. Destructing one dominant clone triggers activating other dormant subclones to become dominating subclones, causing cancer progress and post-treatment cancer recurrence. We postulate the concept of subclonal switchboard sig-naling and the pathway that involved in this process. In the context of stem cell and development, there is a parallel with the concept of quiescent/dormant cancer stem cells (CSC) and their progeny, the differentiated cancer cells; these 2 populations communicate and co-exist. The mechanism with which determines to extend self-renewal and expansion of CSC is needed to elucidate. We suggest eliminating the ‘‘dominating subclonal switchboard signals’’ that shift the dormant subclones to dominating subclones as a new strategy. Background The long-term survival for patients with solid cancers has remained almost zero even though multiple billion dollars have been spent since U.S. President Richard Nixon declared war on cancer in 1971 [1]. Over 1.4 million people in the United States were found to have cancer in 2007, and the national cost of the disease was over $206 billion in 2006, accounting one-third of healthcare dollars (total: $686 billion) spent in the United States [2]. An estimated 18,820 new cases of brain cancer were diagnosed in the United States of America in 2006, and 12,000 would die of the disease (data from the National Cancer Institute of the United States ofAmerica). Our current forms of therapy for these diseases are brain surgery, followed by administration of toxic drugs and exposure to ra-diation, which lead that the patients face challenges because of both the effects of treatment and potential neurological dys-function. Overall, the cost of care per patient was $67,887, with accrued mean monthly healthcare costs that were 20 times higher than demographically similar individuals without can-cer ($6,364 vs. $277) [3].Malignant gliomas are, for all practical purposes, incurable and new therapeutic approaches are des-perately needed. Darren J. Burgess suggested that developing therapies that would target all subclones should be the future direction in ResearchHighlights [3].However,wewould argue that we should block the subclonal switchboard signals (SSS) that shift dominating subclones on disease progression and post-treatment. Here, we discuss the SSS hypothesis and its implication for new therapies. The Hypotheses Burgess’ conclusion was based on 2 Nature articles on genetic complexity and heterogeneity of cancer. Anderson and colleagues found that the classic model of the linear clonal evolution could not explain their data because multi-ple subpopulations (also known as subclones) co-exist [4]. Burgess proposed a hypothesis, ‘‘genetic heterogeneity and the branching evolutionary trajectories,’’ to explain the Dar-winian perspective of evolving these leukemia-initiating cells [3]. Surprisingly, Notta and colleague reported that these co-existed subclones of many leukemia patient samples co-evolve during disease progression and post-treatment relapse by shifting subclonal dominance [5]. Most impor-tantly, this shifting subclonal dominance can reproduce by using transplantation assays. 1Neuro-Oncology and Stem Cell Research Laboratory, CHOC Children’s Hospital Research Institute, University of California Irvine, Orange, California. 2Beckman Coulter, Inc., Brea, California. 503
  • 2. 504 LETTER TO THE EDITOR Here, we provide a new hypothesis that this shifting subclonal dominance is controlled by the subclonal SSS (Fig. 1). Using experimental models [3,5], we can decipher these SSS, so we can specifically block their signal transduction and stop the subclonal switchboard function. However, we must be ready to co-exist with the cancer cells in our body. These cancer stem cells (CSC) may be not detrimental as long as we can keep them in surveillance. Emerging evidence supports the SSS concept. Cancer cells have been traditionally treated as invading aliens, which must be completely destroyed and removed. We may, however, argue for the need to view cancer differently from traditionally. We and others have found that similarities and overlapping mechanisms between induced cell plasticity and cancer formation shed new light on the emerging picture of p53 sitting at the crossroads between 2 intricate cellular po-tentials: stem cell versus cancer cell generation [6] and reg-ulating the quiescence and self-renewal of hematopoietic stem cells [7]. We may over-react toward cancer cells, ‘‘the invading aliens,’’ which lead to over-treating and injure our own body by using aggressive multi-modalities (surgery, radiation, and chemotherapies) [8]. Perhaps, we ought to consider that cancer cells share similar citizenship, de-manding to survive on the Earth because their survivorship is driven by their evolutional driving force [9]. Sustaining the biodiversity and heterogeneity may balance organisms or organs out of the hostile environment [10,11]. As such, managing tumor growth rather than eliminating it should be a new guideline for treating tumors. The eliminating-cancer treatments drive producing populations of drug-resistant tumor cells upon eliminating the drug-sensitive cells while managing tumor growth to treat tumors with minimum doses of drug so as to modulate the survival of some drug-sensitive cells [12,13]. This treatment paradigm may help the drug-sensitive cells out-compete the resistant ones upon completion of drug treatment, thereby keeping tumors alive but small and manageable [1,14]. ‘‘Keeping tumors alive but small and manageable’’ sounds a reasonable strategy. However, how can we manage tumor growth rather than eliminate it? We argue that managing SSS may be an effective strategy. Implications of the Hypothesis Understanding the mechanisms for SSS will provide new insights to develop anti-cancer therapies. The SSS may be activated upon eliminating a drug-sensitive dominant sub-clonal population, and SSS may activate a neighboring dor-mant subclone within a microenvironment (tumor) or traffic out of the tumor microenvironment (Fig. 2). Upon charac-terization of SSS, we can better detect and control the out-breaks of SSS-driven cancers with defensive strategies for disruptions of SSS signal transduction during different stages of tumorigenesis and cancer progression. A defining feature of SSS system is the presence of mul-tiple structural elements specializing in distinct biological functions. As a general rule, these elements can stably maintain their identity over long periods despite fluctuations in their external physiological environment and internal regulatory networks [15]. Tumor–tissue barrier (physical boundary) may maintain the intra-tumor pressure during tumor development [16]. The quiescent/dormant CSC and their progeny, the differentiated cancer cells, may commu-nicate and co-exist within the tumor microenvironment. Leakage of the tumor–tissue barrier via treatments (surgery, radiation, and chemotherapy) may lead to change the intra-tumor pressure that may act as a physical SSS signal to wake up a dormant subclone. How this is achieved at the molec-ular level is a central but poorly understood question. An interesting finding was that the matrix elasticity (physical signal) activates the stem cell differentiation signal pathway, directing the organ-specific stem cell lineage specification [17–19]. The nature of the chemical-based SSS signals and the pathways that involved in the signaling process are not well FIG. 1. Subclonal switchboard sig-nals (SSS) as mechanisms for leading to shift dominating subclones as trig-gered by environmental cues (stress) for cancer progression and post-treat-ment. A cancer subclone may gain a mutation that, in the appropriate en-vironment cue, leads to dominating subclonal activation due to positive selection. Showed lettering and lines/ arrows in black color is the current concept of treatment strategy for can-cer- dominant subclonal cells (cancer stem cells) that may acquire a muta-tion, in the suitable environment, triggering to dominating subclonal expansion and growth. When this dominating subclone is specifically destroyed, it sends out dominating subclonal-SSS to a dormant/quiescent subclonal cell, which gets activated for dominating subclonal expansion and growth.
  • 3. LETTER TO THE EDITOR 505 understood. Some examples of the SSS signals may be cy-tokines [20,21], growth factors [22], angiogenesis factors [23,24], and the balance of their expression levels [25]. In-deed, irradiation of mouse bone marrow stromal cell lines induces release of significant levels of transforming growth factor (TGF)-beta into the tissue culture medium despite the lack of a detectable increase in TGF-beta mRNA [26]. TGF-beta regulates the coexistence and interconvertibility of CSCs that sustain tumor growth through their ability to self-renew and to generate differentiated progeny [27]. It is possible that SSS is maintained by modifying host gene products. This model predicts, for example, that many host gene products changes after the host is treated by an anti-tumor agent. This is in line with the recognition that there is a combined effect of 2 distinct inputs: positive and negative. The positive inputs from the SSS may be to activate biological events that favor the host, and the negative inputs may be detrimental to the host. We can design a comprehensive strategy that allows the systematic identification of those inputs from the SSS. Spe-cifically, we can fundamentally define the SSS by execution of the following experiments: 1. assess the time-course of dominant subclonal formation in vivo; 2. determine the biochemical nature of SSS molecules upon dominant subclonal destruction; 3. activate the dormant (quiescent) cancer subclone using SSS molecules. The SSS hypothesis has broad impact on many areas of biology and medicine, including developmental biology, stem cell biology, cancer biology, aging, epigenetics, func-tional genomics, systems biology, regenerative medicine, molecular diagnostics, and drug discovery. For example, it implies that cancers and neurodegenerative disorders may be governed by the same SSS mechanism, which escapes the host surveillance system for their subclonal reproduction. The organizational structure of normal epithelium may be such a host surveillance system [12], and the tumor micro-environment may evolve in the SSS production and traffic [28]. Noninvasive monitoring of intra-tumor SSS behavior in vivo is potentially useful for evaluating the efficacy of FIG. 2. Blockade of the dominating subclonal SSS as a new therapeutic strat-egy to suppress the dominating subclone shift to control cancer progression and post-treatment cancer recurrence. Showed is the proposed new treatment paradigm that should target the subclonal-SSS. Blocking the dominating subclonal SSS leads to subclonal quiescence, so keeping tumors alive but small and manageable (dormant/quiescent subclone). individual treatment responses with prognostic value in the clinic [29]. However, understanding the SSS-evolved host surveillance for cancer suppression mechanisms is essential to defining the first steps of tumorigenesis and developing rational cancer prevention strategies. Author Disclosure Statement No competing financial interests exist. References 1. Drake N. (2011). Forty years on from Nixon’s war, cancer research ‘‘evolves’’. Nat Med 17:757. 2. Li SC and WG Loudon. (2008). A novel and generalizable organotypic slice platform to evaluate stem cell potential for targeting pediatric brain tumors. Cancer Cell Int 8:9. 3. Burgess DJ. (2011). Cancer genetics: initially complex, al-ways heterogeneous. Nat Rev Genet 12:154–155. 4. Anderson K, C Lutz, FW van Delft, CM Bateman, Y Guo, SM Colman, H Kempski, AV Moorman, I Titley, et al. (2011). Genetic variegation of clonal architecture and propagating cells in leukaemia. Nature 469:356–361. 5. Notta F, CG Mullighan, JC Wang, A Poeppl, S Doulatov, LA Phillips, J Ma, MD Minden, JR Downing and JE Dick. (2011). Evolution of human BCR-ABL1 lymphoblastic leukaemia-initiating cells. Nature 469:362–367. 6. Li SC, Y Jin, WG Loudon, Y Song, Z Ma, LP Weiner and JF Zhong. (2011). From the Cover: increase developmental plasticity of human keratinocytes with gene suppression. Proc Natl Acad Sci USA 108:12793–12798. 7. Asai T, Y Liu, N Bae and SD Nimer. (2011). The p53 tumor suppressor protein regulates hematopoietic stem cell fate. J Cell Physiol 226:2215–2221. 8. Gatenby RA, AS Silva, RJ Gillies and BR Frieden. (2009). Adaptive therapy. Cancer Res 69:4894–4903. 9. Andre N and E Pasquier. (2009). For cancer, seek and de-stroy or live and let live? Nature 460:324. 10. Kunin V and CA Ouzounis. (2003). The balance of driving forces during genome evolution in prokaryotes. Genome Res 13:1589–1594. 11. Gatenby RA. (1996). Application of competition theory to tumour growth: implications for tumour biology and treat-ment. Eur J Cancer 32A:722–726.
  • 4. 506 LETTER TO THE EDITOR 12. Gatenby RA, RJ Gillies and JS Brown. (2011). Evolutionary dynamics of cancer prevention. Nat Rev Cancer 10:526–527. 13. Gatenby RA and BR Frieden. (2008). Inducing catastrophe in malignant growth. Math Med Biol 25:267–283. 14. Gatenby RA. (2009). A change of strategy in the war on cancer. Nature 459:508–509. 15. Perfahl H, HM Byrne, T Chen, V Estrella, T Alarcon, A Lapin, RA Gatenby, RJ Gillies, MC Lloyd, et al. (2011). Multiscale modelling of vascular tumour growth in 3D: the roles of domain size and boundary conditions. PloS ONE 6:e14790. 16. Boucher Y, H Salehi, B Witwer, GR Harsh 4th and RK Jain. (1997). Interstitial fluid pressure in intracranial tumours in patients and in rodents. Br J Cancer 75:829–836. 17. Engler AJ, C Carag-Krieger, CP Johnson, M Raab, HY Tang, DW Speicher, JW Sanger, JM Sanger and DE Discher. (2008). Embryonic cardiomyocytes beat best on a matrix with heart-like elasticity: scar-like rigidity inhibits beating. J Cell Sci 121(Pt 22):3794–3802. 18. Engler AJ, MA Griffin, S Sen, CG Bonnemann, HL Sweeney and DE Discher. (2004). Myotubes differentiate optimally on substrates with tissue-like stiffness: pathological implications for soft or stiff microenvironments. J Cell Biol 166:877–887. 19. Engler AJ, S Sen, HL Sweeney and DE Discher. (2006). Ma-trix elasticity directs stem cell lineage specification. Cell 126:677–689. 20. Fukuro H, C Mogi, K Yokoyama and K Inoue. (2003). Change in expression of basic fibroblast growth factor mRNA in a pituitary tumor clonal cell line. Endocr Pathol 14:145–149. 21. Razmkhah M, M Jaberipour, N Erfani, M Habibagahi, AR Talei and A Ghaderi. (2011). Adipose derived stem cells (ASCs) isolated from breast cancer tissue express IL-4, IL-10 and TGF-beta1 and upregulate expression of regulatory molecules on T cells: do they protect breast cancer cells from the immune response? Cell Immunol 266:116–122. 22. Nazarenko I, A Hedren, H Sjodin, A Orrego, J Andrae, GB Afink, M Nister and MS Lindstrom. (2011). Brain abnormal-ities and glioma-like lesions in mice overexpressing the long isoform of PDGF-A in astrocytic cells. PloS ONE 6:e18303. 23. Pollard PJ, B Spencer-Dene, D Shukla, K Howarth, E Nye, M El-Bahrawy, M Deheragoda, M Joannou, S McDonald, et al. (2007). Targeted inactivation of fh1 causes proliferative renal cyst development and activation of the hypoxia pathway. Cancer Cell 11:311–319. 24. Legros L, C Bourcier, A Jacquel, FX Mahon, JP Cassuto, P Auberger and G Pages. (2004). Imatinib mesylate (STI571) decreases the vascular endothelial growth factor plasma concentration in patients with chronic myeloid leukemia. Blood 104:495–501. 25. Scheel C, EN Eaton, SH Li, CL Chaffer, F Reinhardt, KJ Kah, G Bell, W Guo, J Rubin, et al. (2011). Paracrine and autocrine signals induce and maintain mesenchymal and stem cell states in the breast. Cell 145:926–940. 26. Greenberger JS, MW Epperly, N Jahroudi, KL Pogue-Geile, L Berry, J Bray and KL Goltry. (1996). Role of bone marrow stromal cells in irradiation leukemogenesis. Acta Haematol 96:1–15. 27. Schober M and E Fuchs. (2011). Tumor-initiating stem cells of squamous cell carcinomas and their control by TGF-beta and integrin/focal adhesion kinase (FAK) signaling. Proc Natl Acad Sci USA 108:10544–10549. 28. Lee HO, AS Silva, S Concilio, YS Li, M Slifker, RA Gatenby and JD Cheng. (2011). Evolution of tumor invasiveness: the adaptive tumor microenvironment landscape model. Cancer Res 71:6327–37. 29. Palmer GM, RJ Boruta, BL Viglianti, L Lan, I Spasojevic and MW Dewhirst. (2011). Non-invasive monitoring of intra-tumor drug concentration and therapeutic response using optical spectroscopy. J Control Release 142:457–464. Address correspondence to: Dr. Shengwen Calvin Li Neuro-Oncology and Stem Cell Research Laboratory CHOC Children’s Hospital Research Institute University of California Irvine 455 South Main Street Orange, CA 92868 E-mail: shengwel@uci.edu Received for publication May 26, 2011 Accepted after revision September 20, 2011 Prepublished on Liebert Instant Online September 20, 2011