Literature DB >> 26747091

Pancreatic cancer microenvironment, to target or not to target?

Ryan M Carr1, Martin E Fernandez-Zapico2.   

Abstract

We have collectively been spoiled by the astounding clinical benefit of antimicrobials. Much like the discovery and use of penicillin to eradicate once deadly infections, we continue to desperately search for the next “magic bullet” to kill cancer while sparing the non‐transformed cells. Greater appreciation for the molecular intricacies of malignancy has resulted in dedicated pursuit of cancer genomics and large‐scale informatics to identify “drugable” targets within the cancer cell itself. However, studies at the bench elucidating a dynamic relationship between tumor and microenvironment have become more common and demonstrate promise for novel therapeutic intervention.

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Year:  2016        PMID: 26747091      PMCID: PMC4734844          DOI: 10.15252/emmm.201505948

Source DB:  PubMed          Journal:  EMBO Mol Med        ISSN: 1757-4676            Impact factor:   12.137


Cancer cells are known to stimulate the surrounding stromal cells while reciprocal signals are released to the tumor cells to promote their growth and invasion. The specific example of pancreatic ductal adenocarcinoma (PDAC) illustrates both the shortcomings of conventional therapies and the importance of the PDAC microenvironment in clinical outcomes. PDAC is a highly lethal malignancy with ~80% of patients presenting with locally advanced disease. These patients are typically not eligible for surgical intervention and desperately need effective medical therapy. This malignancy is largely resistant to both chemotherapy and radiation with < 6% 5‐year survival. Why this malignancy remains refractory to most therapies is still unresolved. There has been an increased interest in the potential targeting of the PDAC desmoplastic reaction, a cellular compartment containing cancer‐associated fibroblasts (CAFs), extracellular matrix proteins, inflammatory, and endothelial cells (Fig 1). Multiple strategies have been investigated, most prominently including depletion of cellular elements of desmoplasia, enhancing tumor perfusion through alleviation of intratumoral pressures, and local immunomodulation. However, the role of these strategies in treatment remains largely contentious.
Figure 1

Interplay among the components of PDAC desmoplastic reaction

Multiple key components of the PDAC microenvironment modulate the biology of PDAC. Cancer‐associated fibroblasts within the PDAC microenvironment are involved in deposition of the dense extracellular matrix (ECM) typical of the desmoplastic reaction. Dense ECM components confer elevated intratumoral pressures and solid stress resulting in vascular compression and reduced diffusion into the tumor interstitium. An immunosuppressive inflammatory infiltrate consisting of regulatory tumor‐associated macrophages (TAMs), T cells (Treg), and T17 cells is recruited to the PDAC microenvironment. These cells play a key role in tumor promotion and dampening of cytotoxic T lymphocyte (CTL) response to the tumor.

Interplay among the components of PDAC desmoplastic reaction

Multiple key components of the PDAC microenvironment modulate the biology of PDAC. Cancer‐associated fibroblasts within the PDAC microenvironment are involved in deposition of the dense extracellular matrix (ECM) typical of the desmoplastic reaction. Dense ECM components confer elevated intratumoral pressures and solid stress resulting in vascular compression and reduced diffusion into the tumor interstitium. An immunosuppressive inflammatory infiltrate consisting of regulatory tumor‐associated macrophages (TAMs), T cells (Treg), and T17 cells is recruited to the PDAC microenvironment. These cells play a key role in tumor promotion and dampening of cytotoxic T lymphocyte (CTL) response to the tumor.

Modulating the desmoplastic reaction

Depletion of the tumor–stroma is currently a controversial strategy for PDAC treatment. Olive et al (2009) first demonstrated the potential benefit of Sonic hedgehog (Shh) inhibition in disrupting desmoplasia. Based on data from a genetically engineered mouse model (GEMM), Shh pathway inhibitor (IPI‐926) treatment yielded reduced tumor–stroma and increased survival compared to controls, while also increasing tumor vascularity and gemcitabine delivery. Consequently, it was hypothesized that the stroma confers chemoresistance to PDAC at least partly through decreased drug penetrance. Infinity Pharmaceuticals eventually started phase I and II trials with IPI‐926, but these were stopped due to poor clinical performance (http://phx.corporate-ir.net/phoenix.zhtml?c=121941&p=irol-newsArticle&ID=1653550&highlight=). More recent contradictory findings have raised significant skepticism regarding stromal depletion as treatment. Rhim et al (2014) found that GEMM in which conditional Shh ablation resulted in diminished stroma formation, featured reduced survival due to formation of more aggressive, dedifferentiated tumors, and increased metastases. Long‐term administration of IPI‐926 was phenotypically similar possibly explaining the drug's failure in clinical trials. In parallel, Ozdemir et al limited the development of desmoplasia with conditional depletion of αSMA+ myofibroblasts. Once again, stromal depletion resulted in decreased survival with similarly aggressive tumors (Ozdemir et al, 2014). Rhim et al (2014) showed increased tumor vascularity with stromal depletion, which correlated with disease progression but also increased responsiveness to anti‐angiogenic agents. Taken together, it could be concluded the PDAC desmoplasia actually plays a protective role for the host, making its targeting a much less appealing therapeutic strategy. However, the disparities between these preclinical models should trigger reassessment based on the relative importance of the stromal component being targeted and timing of the intervention. Interestingly, one common feature between the studies was increased tumor vascularity as a consequence of stromal depletion. Should we focus on the pharmacologic promotion of desmoplasia or can more specific targeting of stromal depletion be achieved, thus enhancing drug delivery while preventing increased aggressiveness? A more precise modulation of desmoplasia as opposed to global stromal depletion clearly deserves further investigation.

Altering tumor vascularity

The PDAC microenvironment is hypoxic with minimal vascularity. Despite this relatively diminished vascularity compared to other tumor types, elevated pro‐angiogenic vascular endothelial growth factor A (VEGF‐A) levels in patients have been found to correlate with increased vascular density of PDAC and greater disease progression. PDAC treatment with anti‐VEGF‐A therapies such as bevacizumab and axitinib was therefore evaluated in clinical trials though their combination with gemcitabine fell short of improving survival. Thus, failure of anti‐angiogenic agents in clinical trials was likely due to limited penetrance. A theoretical therapeutic window for such targeted strategies might therefore be developed. The dense extracellular matrix of PDAC confers remarkable biophysical rigidity with increased intratumoral pressures unparalleled by other malignancies. Increased pressure causes collapse of the vasculature and diminished diffusion into the tumor interstitium. This is hypothesized to be a major barrier to response to therapies. Can we develop therapeutic targets or strategies to alleviate these pressures and increase responsiveness to conventional therapy? Provenzano et al proposed increased interstitial pressures mediate blood vessel collapse, while others (Chauhan et al, 2014) suggest that vascular compromise is secondary to increased solid stress. Provenzano et al identified increased production of hyaluronic acids as the primary determinant of elevated intratumoral pressures. Indeed, treatment with human recombinant hyaluronidase (PEGPH20) relieved intratumoral pressures, increase in tumor vascular perfusion and gemcitabine delivery, improved survival, and decreased the metastatic burden (Provenzano et al, 2012; Jacobetz et al, 2013). However, a phase II clinical trial was prematurely stopped because of increased thromboembolic event risk in patients receiving PEGPH20. Because interstitial pressure is balanced by intravascular pressure, interstitial pressures cannot be persistently elevated to the point of vessel compression. Solid stress, capable of overcoming intravascular pressures, is mediated by extracellular matrix components (Chauhan et al, 2014). This distinction is critical as the tumor elements responsible for each stress are disparate. Thus, strategies aimed to mitigate solid stress in PDAC might yield therapeutic benefit.

Immunological sensitization

An extensive stromal immunosuppressive inflammatory infiltrate, including regulatory T (Treg) cells, myeloid‐derived suppressor cells (MDSCs), and macrophages, appears early in PDAC tumorigenesis. Recently, Zhang et al showed high levels of both Treg cells and T helper 17 (TH17) with few CD8+ lymphocytes in the microenvironment of the KRAS PDAC model. Depletion of the CD4+ T‐cell population resulted in derepression of anti‐tumoral CD8+ T lymphocytes with prevention of tumor progression (Zhang et al, 2014). McAllister et al (2014) described a “IL‐17 signaling axis” in which oncogenic Kras is important in recruitment of TH17 cells. IL‐17 signaling from TH17 cells is then integral in the formation of pre‐invasive lesions and promotion of PDAC. The tumor‐associated macrophages (TAMs) are also critical in mediating PDAC immune escape. Depletion of a specific extra‐tumoral macrophage population has been demonstrated to enhance CD8+ T‐cell tumor infiltration in response to CD40 agonist immunotherapy (Beatty et al, 2015). Conversely, activation of the stromal macrophages by BAG3–IFITM‐2 axis promotes tumor growth. Blockade of this cascade using an anti‐BAG3 antibody diminished primary tumor growth and metastasis (Rosati et al, 2015). In addition to immune escape, infiltrating macrophages contribute to tumor formation and maintenance through production of cytokines RANTES and TNF‐a, which mediate acinar‐to‐ductal metaplasia, secretion of IL‐6 promoting tumor progression through STAT3 signaling, and by overexpressing cytidine deaminase, which inactivates gemcitabine (Liu et al, 2013). These functions make TAMs an obvious therapeutic target with molecules, such as trabectedin, and show promise in enhancing immunotherapy for PDAC. While an important role of immunosuppressive cells in the initiation and progression of PDAC has been elucidated, our knowledge of the interactions between stromal elements and the inflammatory infiltrate is incomplete. Interestingly, CAFs and myofibroblasts may partly mediate local immune suppression. Feig et al (2013) depleted fibroblast activation protein‐α‐expressing CAFs resulting in increased anti‐tumor cytotoxic T‐cell‐mediated control of PDAC. This was recapitulated by blocking the activity of CAF‐secreted cytokine CXCL12, preventing activity on tumor cells to effectively exclude anti‐tumor T cells. Abrogation of CXCL12 enhanced tumor response to immune checkpoint therapy, potentially explaining the known resistance of PDAC to therapies such as pembrolizumab (a PD‐1 antagonist). Similarly, αSMA+ myofibroblast elimination caused decreased CD4+ effector T cells, decreased cytotoxic T lymphocytes, and increased regulatory T cells but also mediated an increased susceptibility to checkpoint antagonists (Ozdemir et al, 2014). Thus, targeting of stromal elements opens a therapeutic opportunity to increase the efficacy of targeted therapeutics, including immunomodulatory approaches, thus far ineffective in PDAC treatment.

Conclusion

Therapeutic advancement for PDAC has been negligible. Shortcomings are likely due to the cancer cell‐centric approaches to solid tumor therapeutics. Conventionally viewed as the result of random somatic mutations conferring unopposed proliferation, cancer must now be considered within the context of a biologic system, a tumor organ of sorts. Furthermore, as the extensive inter‐ and intratumoral heterogeneity is further characterized, so must the heterogeneity of tumor microenvironment. “Virtual microdissection” of PDAC gene expression data has not only allowed identification of tumor subtypes, but also two distinct stromal types (Moffitt et al, 2015). Stromal heterogeneity may at least partially explain the contradictory findings in preclinical models targeting different microenvironment elements of PDAC, although the relationship between GEMM phenotypes and their human counterparts is unclear. Nonetheless, increased complexity and heterogeneity suggests the need for personalized medicine to make therapeutic advances in PDAC and likely other cancers. With our exponentially increasing understanding of the molecular basis of PDAC and its microenvironment, this is an exciting time as we shift our focus to the tumor–stroma relationship to design new therapies for a currently deadly disease.
  14 in total

1.  Depletion of carcinoma-associated fibroblasts and fibrosis induces immunosuppression and accelerates pancreas cancer with reduced survival.

Authors:  Berna C Özdemir; Tsvetelina Pentcheva-Hoang; Julienne L Carstens; Xiaofeng Zheng; Chia-Chin Wu; Tyler R Simpson; Hanane Laklai; Hikaru Sugimoto; Christoph Kahlert; Sergey V Novitskiy; Ana De Jesus-Acosta; Padmanee Sharma; Pedram Heidari; Umar Mahmood; Lynda Chin; Harold L Moses; Valerie M Weaver; Anirban Maitra; James P Allison; Valerie S LeBleu; Raghu Kalluri
Journal:  Cancer Cell       Date:  2014-05-22       Impact factor: 31.743

2.  Compression of pancreatic tumor blood vessels by hyaluronan is caused by solid stress and not interstitial fluid pressure.

Authors:  Vikash P Chauhan; Yves Boucher; Cristina R Ferrone; Sylvie Roberge; John D Martin; Triantafyllos Stylianopoulos; Nabeel Bardeesy; Ronald A DePinho; Timothy P Padera; Lance L Munn; Rakesh K Jain
Journal:  Cancer Cell       Date:  2014-07-14       Impact factor: 31.743

3.  CD4+ T lymphocyte ablation prevents pancreatic carcinogenesis in mice.

Authors:  Yaqing Zhang; Wei Yan; Esha Mathew; Filip Bednar; Shanshan Wan; Meredith A Collins; Rebecca A Evans; Theodore H Welling; Robert H Vonderheide; Marina Pasca di Magliano
Journal:  Cancer Immunol Res       Date:  2014-02-11       Impact factor: 11.151

4.  Enzymatic targeting of the stroma ablates physical barriers to treatment of pancreatic ductal adenocarcinoma.

Authors:  Paolo P Provenzano; Carlos Cuevas; Amy E Chang; Vikas K Goel; Daniel D Von Hoff; Sunil R Hingorani
Journal:  Cancer Cell       Date:  2012-03-20       Impact factor: 31.743

5.  Exclusion of T Cells From Pancreatic Carcinomas in Mice Is Regulated by Ly6C(low) F4/80(+) Extratumoral Macrophages.

Authors:  Gregory L Beatty; Rafael Winograd; Rebecca A Evans; Kristen B Long; Santiago L Luque; Jae W Lee; Cynthia Clendenin; Whitney L Gladney; Dawson M Knoblock; Patrick D Guirnalda; Robert H Vonderheide
Journal:  Gastroenterology       Date:  2015-04-14       Impact factor: 22.682

6.  Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer.

Authors:  Kenneth P Olive; Michael A Jacobetz; Christian J Davidson; Aarthi Gopinathan; Dominick McIntyre; Davina Honess; Basetti Madhu; Mae A Goldgraben; Meredith E Caldwell; David Allard; Kristopher K Frese; Gina Denicola; Christine Feig; Chelsea Combs; Stephen P Winter; Heather Ireland-Zecchini; Stefanie Reichelt; William J Howat; Alex Chang; Mousumi Dhara; Lifu Wang; Felix Rückert; Robert Grützmann; Christian Pilarsky; Kamel Izeradjene; Sunil R Hingorani; Pearl Huang; Susan E Davies; William Plunkett; Merrill Egorin; Ralph H Hruban; Nigel Whitebread; Karen McGovern; Julian Adams; Christine Iacobuzio-Donahue; John Griffiths; David A Tuveson
Journal:  Science       Date:  2009-05-21       Impact factor: 47.728

7.  Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergizes with anti-PD-L1 immunotherapy in pancreatic cancer.

Authors:  Christine Feig; James O Jones; Matthew Kraman; Richard J B Wells; Andrew Deonarine; Derek S Chan; Claire M Connell; Edward W Roberts; Qi Zhao; Otavia L Caballero; Sarah A Teichmann; Tobias Janowitz; Duncan I Jodrell; David A Tuveson; Douglas T Fearon
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-25       Impact factor: 11.205

8.  BAG3 promotes pancreatic ductal adenocarcinoma growth by activating stromal macrophages.

Authors:  Alessandra Rosati; Anna Basile; Raffaella D'Auria; Morena d'Avenia; Margot De Marco; Antonia Falco; Michelina Festa; Luana Guerriero; Vittoria Iorio; Roberto Parente; Maria Pascale; Liberato Marzullo; Renato Franco; Claudio Arra; Antonio Barbieri; Domenica Rea; Giulio Menichini; Michael Hahne; Maarten Bijlsma; Daniela Barcaroli; Gianluca Sala; Fabio Francesco di Mola; Pierluigi di Sebastiano; Jelena Todoric; Laura Antonucci; Vincent Corvest; Anass Jawhari; Matthew A Firpo; David A Tuveson; Mario Capunzo; Michael Karin; Vincenzo De Laurenzi; Maria Caterina Turco
Journal:  Nat Commun       Date:  2015-11-02       Impact factor: 14.919

9.  Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma.

Authors:  Richard A Moffitt; Raoud Marayati; Elizabeth L Flate; Keith E Volmar; S Gabriela Herrera Loeza; Katherine A Hoadley; Naim U Rashid; Lindsay A Williams; Samuel C Eaton; Alexander H Chung; Jadwiga K Smyla; Judy M Anderson; Hong Jin Kim; David J Bentrem; Mark S Talamonti; Christine A Iacobuzio-Donahue; Michael A Hollingsworth; Jen Jen Yeh
Journal:  Nat Genet       Date:  2015-09-07       Impact factor: 38.330

10.  Pancreatic cancer microenvironment, to target or not to target?

Authors:  Ryan M Carr; Martin E Fernandez-Zapico
Journal:  EMBO Mol Med       Date:  2016-02-01       Impact factor: 12.137

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1.  The predictive value and role of stromal tumor-infiltrating lymphocytes in pancreatic ductal adenocarcinoma (PDAC).

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Journal:  Cancer Biol Ther       Date:  2018-02-22       Impact factor: 4.742

Review 2.  Epigenetic control of the tumor microenvironment.

Authors:  David L Marks; Rachel Lo Olson; Martin E Fernandez-Zapico
Journal:  Epigenomics       Date:  2016-10-04       Impact factor: 4.778

Review 3.  Consistent Inclusion of Mesenchymal Stem Cells into In Vitro Tumor Models.

Authors:  Luís P Ferreira; Vítor M Gaspar; João F Mano
Journal:  Methods Mol Biol       Date:  2021

4.  Separation of Solid Stress From Interstitial Fluid Pressure in Pancreas Cancer Correlates With Collagen Area Fraction.

Authors:  Michael D Nieskoski; Kayla Marra; Jason R Gunn; Stephen C Kanick; Marvin M Doyley; Tayyaba Hasan; Stephen P Pereira; B Stuart Trembly; Brian W Pogue
Journal:  J Biomech Eng       Date:  2017-06-01       Impact factor: 2.097

5.  Tofacitinib enhances delivery of antibody-based therapeutics to tumor cells through modulation of inflammatory cells.

Authors:  Nathan Simon; Antonella Antignani; Stephen M Hewitt; Massimo Gadina; Christine Alewine; David FitzGerald
Journal:  JCI Insight       Date:  2019-03-07

Review 6.  Tumor cross-talk networks promote growth and support immune evasion in pancreatic cancer.

Authors:  Christopher J Halbrook; Marina Pasca di Magliano; Costas A Lyssiotis
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2018-03-15       Impact factor: 4.052

7.  PEG-b-poly (carbonate)-derived nanocarrier platform with pH-responsive properties for pancreatic cancer combination therapy.

Authors:  Priyanka Ray; Matthew Confeld; Pawel Borowicz; Tao Wang; Sanku Mallik; Mohiuddin Quadir
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8.  Pancreatic cancer: Current status and Challenges.

Authors:  Amanda R Muñoz; Divya Chakravarthy; Jingjing Gong; Glenn A Halff; Rita Ghosh; Addanki P Kumar
Journal:  Curr Pharmacol Rep       Date:  2017-10-11

Review 9.  Targeting Cancer Stem Cells and Their Niche: Current Therapeutic Implications and Challenges in Pancreatic Cancer.

Authors:  Jiangang Zhao; Jiahui Li; Hans A Schlößer; Felix Popp; Marie Christine Popp; Hakan Alakus; Karl-Walter Jauch; Christiane J Bruns; Yue Zhao
Journal:  Stem Cells Int       Date:  2017-08-06       Impact factor: 5.443

10.  Pancreatic cancer microenvironment, to target or not to target?

Authors:  Ryan M Carr; Martin E Fernandez-Zapico
Journal:  EMBO Mol Med       Date:  2016-02-01       Impact factor: 12.137

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