bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
1 Title: Hypoxia induces transcriptional and translational downregulation of the type
2 I interferon (IFN) pathway in multiple cancer cell types
3 Ana Miar1, Esther Arnaiz2, Esther Bridges1, Shaunna Beedie1, Adam P Cribbs3, Damien
4 J. Downes4, Robert Beagrie4, Jan Rehwinkel5, Adrian L. Harris1‡
5 1 Department of Medical Oncology, Molecular Oncology Laboratories, Weatherall 6 Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, 7 OX3 9DS, UK
8 2 Onkologia Molekularraren Taldea, Onkologia Arloa, Molecular Oncology Group, 9 Biodonostia Instituto de Investigación Sanitaria, Spain
10 3 Botnar Research Center, Nuffield Department of Orthopaedics, Rheumatology and 11 Musculoskeletal Sciences, NIHR Oxford BRU, University of Oxford, OX3 7DQ, UK
12 4 Medical Research Council (MRC) Molecular Hematology Unit, MRC Weatherall 13 Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK
14 5 Medical Research Council Human Immunology Unit, Medical Research Council 15 Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, 16 University of Oxford, Oxford OX3 9DS, UK
17
18 ‡To whom correspondence should be addressed: Adrian L. Harris Department of
19 Oncology, Weatherall Institute of Molecular Medicine, University of Oxford, John
20 Radcliffe Hospital, OX3 9DS, UK. E-mail: [email protected]. Phone: +44
21 (0)1865 222457 (PA).
22 Short title: Hypoxia effect on type I IFN on cancer
23 This work has been supported by Breast Cancer Now (grant reference 2015MayPR479).
24 Disclosure statement: Authors have nothing to declare.
25 Keywords: hypoxia, IFN, breast cancer
26 bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
27 Abstract:
28 Hypoxia is a common phenomenon in solid tumours and is considered a hallmark of
29 cancer. Increasing evidence shows that hypoxia promotes local immune suppression.
30 Type I IFN is involved in supporting cytotoxic T lymphocytes by stimulating the
31 maturation of dendritic cells (DCs) and enhancing their capacity to process and present
32 antigens. However, there is little information about the relationship between hypoxia and
33 the type I interferon (IFN) pathway, which comprises the sensing of double-stranded
34 RNA and DNA (dsRNA/dsDNA), followed by IFNα/β secretion and transcription
35 activation of IFN-stimulated genes (ISGs). The aims of this study were to determine both
36 the effect and mechanisms of hypoxia on the I IFN pathway in breast cancer.
37 There was a downregulation of the type I IFN pathway expression at mRNA and protein
38 level in cancer cell lines under hypoxia in vitro and in vivo in xenografts. This pathway
39 was suppressed at each level of signalling, from the dsRNA sensors (RIG-I, MDA5), the
40 adaptor (MAVS), transcription factors (IRF3, IRF7, STAT1) and several ISGs (RIG-I,
41 IRF7, STAT1, ADAR-p150). There was also lower IFN secretion under hypoxic
42 conditions. HIF1 and HIF2 regulation of gene expression did not explain most of the
43 effects. However, ATAC-Seq data revealed that in hypoxia peaks with STAT1 and IRF3
44 motifs had decreased accessibility.
45 Thus hypoxia leads to an overall 50% downregulation of the type I IFN pathway due to
46 repressed transcription and lower chromatin accessibility in a HIF1/2α-independent
47 manner, which could contribute to immunosuppression in hypoxic tumours.
48
49
50 bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
51 INTRODUCTION:
52 Oxygen can only diffuse 100-180µm from the nearest capillary and consequenctly, poorly
53 vascularized tumours or those that grow quickly suffer from hypoxia, low pH and nutrient
54 starvation. Hypoxia is closely linked to the hallmarks of cancer as it induces the switch
55 to glycolytic metabolism, promotes proliferation, enhances resistance to apoptosis,
56 induces unlimited replication potential and genomic instability, reduces immuno-
57 surveillance, and induces angiogenesis and migration to less hypoxic areas (1).
58 This hypoxia response is driven by a family of dimeric hypoxia-inducible transcription
59 factors (HIF-1, HIF-2, HIF-3) which are composed of an oxygen-sensitive α-subunit
60 (HIF-1α, HIF-2α, HIF-3α) and a constitutively expressed β-subunit (HIF-1β) (2). Under
61 well oxygenated conditions, HIF-1/2α are bound by the von Hippel-Lindau (VHL)
62 protein which targets them for proteasomal degradation (3). VHL binding is dependent
63 upon hydroxylation of specific proline residues by prolyl hydroxylase PHD2, which uses
64 O2 as a substrate, and as a consequence its activity is inhibited under hypoxia (4).
65 Hypoxia induces an immunosuppressive microenvironment; it inhibits the ability of
66 macrophages to phagocytose dead cells, present antigens to T cells, inhibits the anti-
67 tumour effects of macrophages (5), and favours their differentiation to M2 type which is
68 more immunosuppressive (6). T-cell-mediated immune functions are downregulated by
69 low oxygen levels, resulting in impairment of cytokine expression and less T-cell
70 activation (7). Moreover, the cytotoxic potential of natural killer (NK) cells is reduced
71 under hypoxia resulting in a decreased anti-tumour response that allows metastasis (8).
72 Type I interferons (IFNs) comprise multiple IFNα’s (encoded by 13 genes), IFNβ
73 (encoded by one gene) and other less studied IFNs (IFNε, IFNκ, IFNω). They are
74 produced by most cell types and their transcription is upregulated after the activation of
75 pattern recognition receptors (PRR) which sense viral/bacterial dsRNA ( through RIG-I, bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
76 MDA5, or TLRs) and dsDNA/unmethylated DNA ( through cGAS, DDX41, IFI16, or
77 TLRs). Type I IFNs bind to the heterodimeric IFNα/β receptor composed of IFNAR1 and
78 IFNAR2, triggering the JAK-STAT pathway and activating the transcription of IFN-
79 stimulated genes (ISGs) (9) (Supplementary figure 1). Type I IFNs are involved in all
80 three phases of the cancer immunoediting process by which the immune system
81 eliminates the malignant cells, moulds the immunogenic phenotypes of developing
82 tumours and selects those clones with reduced immunogenicity (10). Type I IFNs support
83 cytotoxic T lymphocytes by stimulating the maturation of dendritic cells (DCs) and
84 enhancing their capacity to process and present antigens (11). Endogenous IFNα/β is
85 required for the lymphocyte-dependent rejection of highly immunogenic sarcomas in
86 immunocompetent hosts (10), and they are crucial for the innate immune response to
87 transformed cells as Ifnar1-/- CD8+ dendritic cells are deficient in antigen cross-
88 presentation, and fail to reject highly immunogenic tumours (12). Moreover, type I IFNs
89 boost immune effector functions by enhancing perforin 1 and granzyme B expression
90 (13), and promoting survival of memory T cells.
91 Type I IFN is involved in the success of current anticancer treatments both directly
92 (tumour cell inhibition) and indirectly (anti-tumour immune responses to the nucleic acids
93 and proteins released by dying cells, recently named immunogenic cell death, ICD) (14)
94 (9). In mouse models, IFNAR1 neutralization using antibodies blocked the therapeutic
95 effect of antibodies against human epidermal growth factor receptor 2 (HER2) or
96 epidermal growth factor receptor (EGFR) (15, 16). Moreover, radiotherapy, via DNA
97 damage, induces intratumoural production of IFNβ which enhances the cross-priming
98 capacity of tumour-infiltrating dendritic cells (17). Chemotherapeutic agents such as
99 anthracyclines, bleomycin or oxalaplatin induce ICD, and the activation of an IFN-
100 dependent program is required for successful therapy (18, 19). bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
101 Tumour hypoxia creates resistance to many cancer treatments as oxygen is essential for
102 ROS formation to kill cells during ionizing radiation (20, 21), and HIF1α upregulation
103 mediates resistance to chemotherapy by upregulating anti-apoptotic and pro-survival
104 genes (22).
105 Thus we investigated the regulation of the type I IFN pathway under hypoxia at basal
106 levels and upon activation of IFN signalling using the dsRNA mimic
107 polyinosinic:polycytidylic acid (poly I:C). We found there was substantial HIF-
108 independent downregulation of IFN signalling which could affect all the before
109 mentioned therapies and contribute to treatment resistance.
110
111
112
113
114 bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
115 MATERIAL AND METHODS
116 Cell culture and transfection
117 All cell lines used are listed in supplementary table 1. They were cultured in DMEM low
118 glucose medium (1g/l) supplemented with 10% FBS no longer than 20 passages. They
119 were mycoplasma tested every 3 months and authenticated during the course of this
120 project. Cells were subjected to 1% or 0.1% hypoxia for the periods specified in each
121 experiment using an InVivO2 chamber (Baker).
122 Transfection of poly I:C (P1530, Sigma) was performed in Optimem reduced serum
123 (11058021, Thermo Fisher Scientific) medium for 6h unless it is otherwise indicated.
124 Lipofectamine 2000 (11668019, Thermo Fisher Scientific) was used following the
125 manufacturer’s instructions.
126 Western blot and RT-qPCR
127 Methods detailed in Supplementary materials.
128 IFN bioassay
129 Performed as previously described (23) and detailed in Supplementary Materials.
130 Single Cell sequencing and analysis
131 Single-cell RNA-seq libraries were prepared as per the Smart-seq2 protocol by Picelli
132 et al (24) with minor technical adaptations detailed in Supplementary material.
133 scRNA-seq data were deposited in Gene Expression Omnibus under SuperSeries
134 accession number GSE134038 and detailed in Supplementary materials.
135 Xenograft growth and IHC
136 Procedures were carried out under a Home Office license. Xenograft experiments were
137 performed as described in (25) and detailed in Supplementary materials.
138 ATAC-seq and analysis bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
139 Samples were prepared and analysed as previously described (26) with minor
140 modifications detailed in Supplementary materials. ATAC-seq data is available in the
141 Gene Expression Omnibus (GSE133327).
142 RESULTS
143 Hypoxia causes downregulation of the type I IFN pathway in unstimulated cells both at
144 mRNA and protein level
145 MCF7 cells were subjected to normoxia, 1% hypoxia or 0.1% hypoxia for 48h. This lead
146 to a decrease of both protein (figure 1A) and RNA (figure 1B) of members of the type I
147 IFN pathway. The effect was seen from dsRNA sensors (RIG-I [encoded by DDX58],
148 MDA5 [encoded by IFIH1]), adaptor MAVS, transcription factors triggering IFNα/β
149 production (IRF3, IRF7) and transcription factors involved in ISGs’ activation (STAT1,
150 STAT2), to downregulation of downstream ISGs (exemplified by ADAR-p150). This
151 inhibitory effect was oxygen concentration-dependent and 0.1% hypoxia caused a greater
152 downregulation of the pathway than 1% hypoxia.
153 This finding was confirmed in other breast cancer types including oestrogen receptor
154 positive (ER+; T47D), HER2+ (BT474) and triple negative (TN; MDA-MB-453, MDA-
155 MB-231, HCC1187, MDA-MB-468) cells. In general, a downregulation of the type I
156 pathway was observed in all cell lines in hypoxia. However, TN cell lines seemed to be
157 more resistant to the effect of hypoxia, showing a lower or no downregulation of some
158 transcripts such as DDX58, IRF3 or MX1 (figure 1C).
159
160 Single cell transcriptomic analysis of the effects of hypoxia on the type I IFN pathway
161 Next, we performed a single cell RNA-Seq experiment using MCF7 cells subjected to
162 0.1% hypoxia for 72h. We found that most of the genes in the type I IFN pathway (such
163 as DDX58, IRF3 or MX1) are significantly less expressed in hypoxia (figure 2A). bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
164 We also observed a decrease in the expression of several genes associated with the DNA
165 sensing branch (IFI16, TMEM173 [encodes STING], DDX41 and MB21D1 [encodes
166 cGAS]) in MCF7 cells exposed to hypoxia. Next, we investigated the expression of a
167 number of well described ISGs(27). This revealed a clear subpopulation of cells in which
168 ISGs were downregulated following exposure to hypoxic conditions, e.g. DDX58, IFIH1,
169 STAT1, STAT2, IFIT1, IFIT3 or MX2. In contrast, HIF1α targets such those involved in
170 glycolysis, were upregulated as expected (PDK1, PGK1, P4HA1, NDRG1, CA9; figure
171 2B).
172
173 Reoxygenation after hypoxia leads to recovery of the type I IFN pathway
174 A time course in 0.1% hypoxia up to 48h showed that type I IFN downregulation at
175 protein level was obvious at 48h in hypoxia (figure 3A), whereas at RNA level, there was
176 a significant decrease from 16h onwards in IFIH1, MAVS, STAT1 and ADAR (figure 3B).
177 MCF7 cells were incubated in normoxia or 0.1% hypoxia for 48h and subjected to
178 reoxygenation for 8h, 16h or 24h. At protein level (figure 3C), hypoxia caused the
179 downregulation of the pathway but reoxygenation up to 24h did not reverse this effect
180 except for RIG-I. However, at RNA level (figure 3D), reoxygenation caused a gradual
181 upregulation of type I IFN pathway levels. Thus RNA expression responded more rapidly
182 to O2 tension than protein.
183
184 Hypoxia downregulates the type I IFN pathway at protein level upon stimulus with a
185 dsRNA mimetic
186 MCF7 cells were incubated in normoxia or 0.1% hypoxia for 48h and transfected with
187 poly I:C (mimetic of dsRNA) in the last 6h of the incubation to determine if the
188 downregulation caused by hypoxia would persist upon activation. Poly I:C activated the bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
189 type I IFN pathway as shown using pIRF3-Ser386 and pSTAT1-Tyr701; however
190 hypoxia led to lower activation (lower levels of pIRF3 and pSTAT1) and to lower
191 expression of RIG-I, MDA5, MAVS and IRF7 (figure 4A). These findings suggested that
192 production/secretion of IFNs was lower in hypoxia than in normoxia.
193 To investigate this, the stimulation of IFN-stimulated response element (ISRE) by
194 potential IFNs present in the supernatant from normoxic or hypoxic cells was measured
195 using indicator cells (HEK293-3C11, hereafter 3C11) (23). 3C11 cells harbour a stably
196 integrated luciferase reporter under control of an ISRE, allowing the measurement of type
197 I IFNs in supernatant samples. 3C11 cells were incubated with supernatant from MCF7
198 cells previously treated with different concentrations of poly I:C and normoxia or
199 hypoxia, as described in the Supplementary Materials section. At all poly I:C
200 concentrations, hypoxic supernatants showed lower activation of ISRE confirming the
201 lower production/secretion of IFNs in these conditions (figure 4B).
202 A time course in hypoxia was performed using MCF7 cells cultured for 6h, 24h and 48h
203 in normoxia or 0.1% hypoxia and transfected with poly I:C in the last 6h of incubation.
204 pIRF3 and pSTAT1 were induced upon poly I:C transfection and their expression was
205 downregulated when the cells were exposed to 48h hypoxia but not at shorter incubations.
206 RIG-I, MDA5 and MAVS were downregulated at 24h, suggesting that hypoxia
207 diminishes the sensitivity of this pathway, particularly effecting late signalling in the
208 amplification phase (figure 4C).
209 The reponse to hypoxia was analysed in a panel of breast cancer cell lines which were
210 incubated in normoxia or 0.1% hypoxia for 48h and transfected with poly I:C during the
211 last 6h. Again, the activation of the pathway was lower in hypoxia and the expression of
212 MDA5, RIG-I, STAT1 and IRF7 was also decreased, showing a general effect in breast
213 cancer cell lines (figure 4D). bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
214 We assessed cell lines from other cancer types or normal tissues e.g. HepG2
215 hepatocarcinoma, HKC8, a non-transformed proximal renal tubular cell line and
216 fibroblasts. The pSTAT1-Tyr701 response to poly I:C was reduced in all cell lines in
217 hypoxia (supplementary figure 2). Interestingly, pIRF3 expression in HepG2 was higher
218 in hypoxia than in normoxia compared to IRF3 expression which was lower. This
219 different response may contribute to the higher viral replication under hypoxia in
220 hepatocarcinoma (28). In HKC8 cells and fibroblast, IRF3 expression was higher in
221 hypoxia or did not change but pIRF3 was reduced. Thus, hypoxia causes a general
222 downregulation of the type I IFN pathway in cancer, and similarly in normal cell lines.
223
224 Type I IFN downregulation is partially dependent on HIF1α
225 To determine the role of HIF1α in the results observed under hypoxic conditions, we used
226 MCF7-HIF1α-KO and MCF7-WT cells. In MCF7-WT, hypoxia suppressed RIG-I,
227 MDA5 and IRF3 expression. Interestingly, in MCF7-HIF1α KO cells in normoxia, RIG-
228 I and STAT1 levels were higher than in MCF7-WT cells, supporting a partial role for
229 HIF1α in suppressing them. However, in hypoxia, STAT1 and RIG-I levels were reduced,
230 indicating a HIF1α-independent mechanism to further regulate them maybe compatible
231 with residual HIF2 effect.
232 Poly I:C in both cell lines in normoxia induced IRF3, pIRF3, IRF7 and pSTAT1. This
233 induction was higher in MCF7-HIF1α-KO cells, apart from pSTAT1, which was still
234 induced but to lower level than the MCF7-WT cells (figure 5A).
235 The effect of poly I:C in hypoxia was attenuated for all the above proteins to similar
236 residual levels in both cell lines, which excluded HIF1α as the main mechanism.
237 Higher IRF3, pIRF3 and IRF7 induction in MCF7-HIF1α-KO than in MCF7-WT
238 suggested a possible increase in IFN production. Using the supernatant from these cells bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
239 to treat 3C11 cells as described above, there was no ISRE activation in normoxic
240 supernatants from WT or MCF7-HIF1α-KO at basal level. For both, ISRE activation was
241 similarly increased by poly I:C in normoxia. However hypoxic MCF7-WT supernatant
242 caused a significantly lower ISRE stimulation and this decrease was not noted for hypoxic
243 MCF7-HIF1α-KO supernatants which triggered significantly higher ISRE activation than
244 MCF7-WT (figure 5B).
245 IFNAR1 and IFNAR2 expression was determined and they were significantly
246 downregulated in MCF7-WT cell in hypoxia compared to normoxia. Interestingly,
247 MCF7-HIF1α-KO cells showed in normoxia significantly lower expression of both
248 compared with MCF7-WT and comparable to hypoxic MCF7-WT levels. Moreover,
249 hypoxia did not further decrease IFNAR1 and IFNAR2 levels at mRNA level (figure 5C).
250 This shows that HIF1α is unlikely to explain the downregulation in hypoxia, as IFNAR1
251 and IFNAR2 were lower without HIF1α, and they would be expected to be higher.
252 These data suggest a complex mechanism in which HIF1α has a basal role increasing
253 STAT1 and responsiveness to poly I:C, but the effect of hypoxia downregulating many
254 IFN genes persists. Finally, the hypoxia downregulation of IFN secretion is lost, implying
255 a role for HIF1α in this last step.
256 Some ISGs associated with chronic anti-viral response such MDA5, MX1 or STAT1 can
257 be transcribed by unphosphorylated STAT1, and this effect is driven by higher IRF9
258 expression (29). Both at mRNA and protein levels, MCF7-HIF1α-KO cells showed
259 higher IRF9 expression (figure 5D) associated with significantly higher ISG expression
260 even in hypoxia compared to MCF7-WT cells (figure 5E).
261 However, as for all the other cell lines, hypoxic MCF7-HIF1α-KO cells showed lower
262 ISG expression than normoxic MCF7-HIF1α-KO cells. These data suggest that HIF1α
263 upregulation in hypoxia is partly responsible for the type I IFN pathway downregulation bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
264 observed in this condition but other HIF1α-independent mechanisms cause a further
265 decrease.
266
267 Type I IFN downregulation and role of HIF2α
268 The converse experiment was performed with renal cancer cells, which showed vHL loss
269 or mutations leading to stabilization of HIF1α/HIF2α in normoxia. RCC4-EV (empty
270 vector, mutant vHL), RCC4-vHL (transfected with wild type vHL and, as a result,
271 displaying lower levels of HIF1α/HIF2α in normoxia), 786-0 parental (vHL mutation and
272 HIF1α deficient) and 786-0-HIF2α-KO (deficient in both HIF1α and HIF2α) were used.
273 In RCC4 cells, poly I:C strongly induced MDA5 in normoxia and this was reduced in
274 hypoxia, showing that high HIF1α/HIF2α alone was not enough to suppress normoxic
275 levels to those obtained in hypoxia. Poly I:C induced similar changes in RIG-I, IRF3 and
276 pIRF3 in both cell lines in normoxia, again showing no effect of high HIF1α/HIF2α in
277 this circumstance. Much higher STAT1 and pSTAT1 was detected in the vHL corrected
278 cell line in normoxia and both decreased in hypoxia, clearly linking suppression of
279 STAT1 to HIF1α/2α (Supplementary figure 3A). In this model pSTAT1 was upregulated
280 and STAT1 downregulated in RCC4-wild type vHL cells, also pointing to a role of
281 HIF1α/2α in suppressing phosphorylation.
282 In 786-0 cells (Supplementary figure 3B), poly I:C did not affect RIG-I or MDA5 levels
283 but it induced pIRF3 and pSTAT1 expression in both cell lines. As observed in other
284 HIF1α-KO cell lines, STAT1 level was highly expressed in both cell lines. However,
285 hypoxia led to downregulation of MDA5, IRF3, pIRF3, STAT1, pSTAT1 and ADAR
286 expression, again showing that constant deficiency of HIF1α/HIF2α still allowed a further
287 suppression of IFN response in hypoxia. bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
288 In general and despite of the differences observed in these models, there is a partial role
289 of HIF1/2α in regulating some members of the pathway, but more importantly, it is clear
290 that there is a HIF1/2α-independent downregulation of the type I IFN pathway.
291
292 Type I IFN pathway is also downregulated in hypoxic areas in vivo
293 To confirm that hypoxic areas in vivo also showed lower expression of type I IFN
294 pathway, xenograft experiments were conducted using MCF7 and MDA-MB231 cells.
295 Avastin, a VEGF antagonist, was used to create tumour hypoxia by reducing
296 angiogenesis, as described previously (30-32). Immunohistochemistry was performed
297 using antibodies against IRF3, IRF7 and ADAR in 5 control and 5 avastin-treated mice
298 for each cell line. Avastin treatment decreased the percentage of CD31-positive cells
299 (vessel marker) and, consequently, the proportion of necrosis was significantly higher
300 (25). Moreover, the percentage of CA9+ cells was greater in Avastin-treated xenografts
301 compared to PBS. Interestingly, IRF3, IRF7 and ADAR were significantly
302 downregulated in avastin-treated mice in the case of MCF7 xenografts (figure 6A), and
303 IRF3 and IRF7 also showed significantly lower expression in MDA-MB231 xenografts
304 (figure 6B).
305
306 ATAC-Seq data shows lower chromatin accessibility on STAT1 and IRF3 containing
307 promoters
308 To investigate how hypoxia may downregulate the type I IFN pathway independently of
309 HIF1α/HIF2α we performed ATAC-seq on MCF7 cells cultured for 48h in normoxia or
310 0.1% hypoxia. We found 5,577 peaks (7.4%) with differential accessibility (figure 7A).
311 Peaks showing increased accessibility during hypoxia (n = 2,439) were enriched for
312 promoters, whereas those with decreased accessibility (n = 3,138) tended to be intergenic bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
313 or intronic (figure 7B), showing a switch in regulatory networks driving gene expression.
314 Consistent with HIF1/HIF2 driving an active hypoxia response, motif analysis showed
315 enrichment for HIF1 sites in distal peaks with increased accessibility (figure 7C).
316 Conversely, peaks with differential decreased accessibility showed higher levels of
317 STAT1, IRF3, FOXA1 and GATA3 motifs, than unchanged peaks. FOXA1 and GATA3
318 motifs were present more frequently in distal peaks with decreased accessibility and less
319 frequently present in peaks with differential increase accessibility. IRF3 motifs were
320 significantly less represented in peaks with increased accessibility both at promoters and
321 distal sites. STAT1 motifs only showed significantly less presence in increased accessible
322 peaks at promoters. The observed loss of accessibility at FOXA1 and GATA3 sites is
323 consistent with their roles downstream in ER signaling and the degradation of ER under
324 low O2 conditions (33). Therefore, hypoxia appears to drive global changes in chromatin
325 accessibility, partially through the shutdown of both type I IFN and ER signalling
326 responsive promoters and enhancers, although globally most decreases are in intergenic
327 regions and introns.
328 DISCUSSION
329 We describe a new mechanism of hypoxic immunosuppression via downregulation of the
330 type I IFN pathway. This occurred at oxygen tensions commonly found in tumours and
331 in more severe hypoxia present in many cases (1% vs 0.1%). The type I IFN pathway is
332 downregulated at RNA level in less than 16h under hypoxia whereas protein level is
333 downregulated after a 48h exposure. Reoxygenation gradually reverses the levels and it
334 takes 24h to reach normoxic levels again. The observation that RNA recovers more
335 quickly than protein after reoxygenation points to de novo transcription or stabilisation
336 occurring during the reoxygenation phase, and RNA changes leading to the protein
337 expression changes rather than protein degradation. However, there was no overshoot and
338 upregulation above the normoxic baseline after reoxygenation. bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
339 Furthermore, we observed lower activation of the type I IFN pathway and less
340 production/secretion of interferons under hypoxia in all cell lines tested when they were
341 activated with poly I:C. This suggests that endogenous activators of the pathway in a
342 hypoxic tumour microenvironment would lead to lower stimulation and consequently to
343 lower immune response. This hypothesis is supported by lower presence of T-cells and
344 NK cells in hypoxic areas in lung and dermal tumours (34) and in prostatic tumours (35).
345 In both studies the immune infiltration increased when the hypoxic areas were reduced
346 using respiratory hyperoxia (34) or the hypoxia-activated prodrug TH-302 (35),
347 respectively.
348 We observed that the type I IFN downregulation in hypoxia is independent of HIF1α and
349 HIF2α, although some members (RIG-I, and mainly STAT1) are regulated by HIF1α as
350 observed in MCF7-HIF1α-KO cells. Moreover, HIF2α seems not to play an important
351 role in the type I IFN downregulation as observed in 786-0 HIF2α-KO cells. Previous
352 work reported that RIG-I harbours hypoxic response elements in its 3’UTR and RIG-I
353 expression was upregulated during hypoxia in human myotubes (36). However, a
354 different study in tumour cells supported our finding that RIG-I and MDA5 are
355 downregulated under hypoxia and they required functional IFNAR1 to respond to
356 stimulus (37). Recently, type I IFN signalling was shown to be inhibited by high lactate
357 levels generated during the metabolic switch to glycolysis occurring in hypoxia (38). As
358 lactate production requires HIF1α, this result could explain the partial effect we observed
359 in HIF1α-KO cells. However, the inhibitory effect seen in hypoxia needed 16h to be
360 significant and it could be a consequence of the HIF1α-independent general transcription
361 inhibition occurring during hypoxia that leads to 42% and 65% decrease in total RNA
362 transcription after 24h and 48h exposure to 0.2% hypoxia, respectively (39). bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
363 Apart from the transcriptional inhibition, translation blockade also occurs in hypoxia as
364 a quick and reversible mechanism upon reoxygenation via phosphorylation of eIF2α to
365 adapt to changing environmental conditions. This mechanism is also HIF1α-independent
366 and peaks after 2h in hypoxia but often recovers after 24 hours (40, 41).
367 We investigated each step in the type I IFN pathway, from the sensors (RIG-I, MDA5),
368 transcription factors (IRF3, IRF7, STAT1), ISGs (MX1, ADAR) and interferon release,
369 and each stage was reduced under hypoxic conditions, although there was heterogeneity.
370 We therefore studied the chromatin accessibility in hypoxia related to these genes by
371 ATAC-Seq. Overall we found that 48h exposure to hypoxia led to global changes rather
372 than changes in specific pathways and only 7% of the type I IFN pathway were associated
373 with differentially accessible peaks. Interestingly, hypoxia caused decreased accessibility
374 at STAT1 and IRF3 containing promoters, suggesting lower transcription from those
375 genes but the downregulation and lower activation observed in hypoxia cannot be
376 explained only by this. However, a recent paper showed that 1h exposure to hypoxia
377 caused a rapid and HIF1α-independent induction of histone methylation, and the locations
378 of H3K4me3 and H3K36me3 predict the transcriptional response hours later (42). These
379 methylation markers are normally related to active transcription and they were
380 significantly less present in type I IFN genes after hypoxia, potentially indicating that the
381 expression of genes in this pathway are repressed by histone modifications that occurred
382 in hypoxia due to decreased enzyme activity of oxygen-requiring JmjC-containing
383 enzymes, and particularly KDM5A, that would affect transcription and translation of this
384 pathway later on (42).
385 Here, we propose a model in which hypoxia downregulates every single step in the type
386 I IFN pathway. However, there is a partial effect of HIF1α as its deletion increased the
387 levels of MDA5, RIG-I, IRF3, IRF7, STAT1 and IFN secretion upon activation in bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
388 normoxia by upregulating IRF9 and not by increasing phosphorylation of STAT1.
389 Conversely, hypoxia is still able to decrease the IFN response when HIF1α is deleted
390 potentially by specifically decreasing the transcription of this pathway (figure 7D).
391 Supporting our work, ISG15 (a typical ISG increased by IFNαβ) was reported to decrease
392 in hypoxia and interact and modify HIF1α via ISGylation, thus reducing its levels and
393 affecting its biological impact on EMT and cancer stemness acquisition (43). In the same
394 line, response to type I IFN pathway was reported to be incompatible with induction of
395 pluripotency (44).
396 All together, these data suggest that the relevance of this hypoxic downregulation of the
397 IFN response is the potential effect on enhancing tumour growth by decreasing the
398 cytotoxicity of T lymphocytes and the capacity of dendritic cells (DCs) to process and
399 present antigens (11). As a result, this downregulation could contribute to the radio- and
400 chemo-resistance observed in hypoxic areas as these therapies rely on intact type I IFN
401 signalling (14). This provides a further rational for targeting the hypoxic tumour
402 population in combination with check point inhibitor therapy (45) and selection of
403 hypoxic patients for study of IFN response inducers is warranted.
404
405
406 ACKNOWLEDGEMENTS
407 We thank Dr Dimitrios Anastasiou and Dr Fiona Grimm (The Francis Crick Institute,
408 UK) for giving us MCF7-WT and MCF7-HIF1α-KO cells.
409 We also thank Matthew Gosden (University of Oxford, UK) for his technical advice
410 performing the ATAC-Seq experiments.
411 AUTHOR CONTRIBUTION
412 AM and ALH designed the experiments, analysed the data and wrote the manuscript. AM
413 and EA performed the experiments. EB performed the animal experiments and stained bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
414 the samples. SB performed the single cell experiments and APC analysed them. DD and
415 RB analysed ATAC-Seq data, and JR provided reagents and advice. This research was
416 supported by funding from Cancer Research UK (ALH, EB, SB), Breast Cancer Research
417 Foundation (ALH), and Breast Cancer Now (ALH, AM).
418 bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
419 References:
420 1. Ruan K, Song GOuyang G, Role of hypoxia in the hallmarks of human cancer. J Cell 421 Biochem 2009; 107: 1053-62. 422 2. Semenza GL, Hypoxia-inducible factors in physiology and medicine. Cell 2012; 148: 423 399-408. 424 3. Kaelin WG, Jr.Ratcliffe PJ, Oxygen sensing by metazoans: the central role of the HIF 425 hydroxylase pathway. Mol Cell 2008; 30: 393-402. 426 4. Epstein AC, Gleadle JM, McNeill LA, Hewitson KS, O'Rourke J, Mole DR, et al., C. 427 elegans EGL-9 and mammalian homologs define a family of dioxygenases that regulate HIF by 428 prolyl hydroxylation. Cell 2001; 107: 43-54. 429 5. Lewis CMurdoch C, Macrophage responses to hypoxia: implications for tumor 430 progression and anti-cancer therapies. Am J Pathol 2005; 167: 627-35. 431 6. Murdoch C, Giannoudis ALewis CE, Mechanisms regulating the recruitment of 432 macrophages into hypoxic areas of tumors and other ischemic tissues. Blood 2004; 104: 2224- 433 34. 434 7. Sitkovsky MLukashev D, Regulation of immune cells by local-tissue oxygen tension: 435 HIF1 alpha and adenosine receptors. Nat Rev Immunol 2005; 5: 712-21. 436 8. Sceneay J, Chow MT, Chen A, Halse HM, Wong CS, Andrews DM, et al., Primary tumor 437 hypoxia recruits CD11b+/Ly6Cmed/Ly6G+ immune suppressor cells and compromises NK cell 438 cytotoxicity in the premetastatic niche. Cancer Res 2012; 72: 3906-11. 439 9. Zitvogel L, Galluzzi L, Kepp O, Smyth MJKroemer G, Type I interferons in anticancer 440 immunity. Nat Rev Immunol 2015; 15: 405-14. 441 10. Dunn GP, Bruce AT, Sheehan KC, Shankaran V, Uppaluri R, Bui JD, et al., A critical 442 function for type I interferons in cancer immunoediting. Nat Immunol 2005; 6: 722-9. 443 11. Papewalis C, Jacobs B, Wuttke M, Ullrich E, Baehring T, Fenk R, et al., IFN-alpha skews 444 monocytes into CD56+-expressing dendritic cells with potent functional activities in vitro and 445 in vivo. J Immunol 2008; 180: 1462-70. 446 12. Diamond MS, Kinder M, Matsushita H, Mashayekhi M, Dunn GP, Archambault JM, et 447 al., Type I interferon is selectively required by dendritic cells for immune rejection of tumors. J 448 Exp Med 2011; 208: 1989-2003. 449 13. Guillot B, Portales P, Thanh AD, Merlet S, Dereure O, Clot J, et al., The expression of 450 cytotoxic mediators is altered in mononuclear cells of patients with melanoma and increased 451 by interferon-alpha treatment. Br J Dermatol 2005; 152: 690-6. 452 14. Budhwani M, Mazzieri RDolcetti R, Plasticity of Type I Interferon-Mediated Responses 453 in Cancer Therapy: From Anti-tumor Immunity to Resistance. Front Oncol 2018; 8: 322. 454 15. Stagg J, Loi S, Divisekera U, Ngiow SF, Duret H, Yagita H, et al., Anti-ErbB-2 mAb 455 therapy requires type I and II interferons and synergizes with anti-PD-1 or anti-CD137 mAb 456 therapy. Proc Natl Acad Sci U S A 2011; 108: 7142-7. 457 16. Yang X, Zhang X, Fu ML, Weichselbaum RR, Gajewski TF, Guo Y, et al., Targeting the 458 tumor microenvironment with interferon-beta bridges innate and adaptive immune responses. 459 Cancer Cell 2014; 25: 37-48. 460 17. Burnette BC, Liang H, Lee Y, Chlewicki L, Khodarev NN, Weichselbaum RR, et al., The 461 efficacy of radiotherapy relies upon induction of type i interferon-dependent innate and 462 adaptive immunity. Cancer Res 2011; 71: 2488-96. 463 18. Vacchelli E, Sistigu A, Yamazaki T, Vitale I, Zitvogel LKroemer G, Autocrine signaling of 464 type 1 interferons in successful anticancer chemotherapy. Oncoimmunology 2015; 4: e988042. 465 19. Sistigu A, Yamazaki T, Vacchelli E, Chaba K, Enot DP, Adam J, et al., Cancer cell- 466 autonomous contribution of type I interferon signaling to the efficacy of chemotherapy. Nat 467 Med 2014; 20: 1301-9. 468 20. Valko M, Izakovic M, Mazur M, Rhodes CJTelser J, Role of oxygen radicals in DNA 469 damage and cancer incidence. Mol Cell Biochem 2004; 266: 37-56. bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
470 21. Manoochehri Khoshinani H, Afshar SNajafi R, Hypoxia: A Double-Edged Sword in 471 Cancer Therapy. Cancer Invest 2016; 34: 536-545. 472 22. Moeller BJDewhirst MW, HIF-1 and tumour radiosensitivity. Br J Cancer 2006; 95: 1-5. 473 23. Bridgeman A, Maelfait J, Davenne T, Partridge T, Peng Y, Mayer A, et al., Viruses 474 transfer the antiviral second messenger cGAMP between cells. Science 2015; 349: 1228-32. 475 24. Picelli S, Faridani OR, Bjorklund AK, Winberg G, Sagasser SSandberg R, Full-length RNA- 476 seq from single cells using Smart-seq2. Nat Protoc 2014; 9: 171-81. 477 25. Morotti M, Bridges E, Valli A, Choudhry H, Sheldon H, Wigfield S, et al., Hypoxia- 478 induced switch in SNAT2/SLC38A2 regulation generates endocrine resistance in breast cancer. 479 Proc Natl Acad Sci U S A 2019. 480 26. Buenrostro JD, Wu B, Chang HYGreenleaf WJ, ATAC-seq: A Method for Assaying 481 Chromatin Accessibility Genome-Wide. Curr Protoc Mol Biol 2015; 109: 21 29 1-9. 482 27. West AP, Khoury-Hanold W, Staron M, Tal MC, Pineda CM, Lang SM, et al., 483 Mitochondrial DNA stress primes the antiviral innate immune response. Nature 2015; 520: 484 553-7. 485 28. Vassilaki N, Kalliampakou KI, Kotta-Loizou I, Befani C, Liakos P, Simos G, et al., Low 486 oxygen tension enhances hepatitis C virus replication. J Virol 2013; 87: 2935-48. 487 29. Sung PS, Cheon H, Cho CH, Hong SH, Park DY, Seo HI, et al., Roles of unphosphorylated 488 ISGF3 in HCV infection and interferon responsiveness. Proc Natl Acad Sci U S A 2015; 112: 489 10443-8. 490 30. Heijmen L, Ter Voert EG, Punt CJ, Heerschap A, Oyen WJ, Bussink J, et al., Monitoring 491 hypoxia and vasculature during bevacizumab treatment in a murine colorectal cancer model. 492 Contrast Media Mol Imaging 2014; 9: 237-45. 493 31. Bensaad K, Favaro E, Lewis CA, Peck B, Lord S, Collins JM, et al., Fatty acid uptake and 494 lipid storage induced by HIF-1alpha contribute to cell growth and survival after hypoxia- 495 reoxygenation. Cell Rep 2014; 9: 349-365. 496 32. McIntyre A, Patiar S, Wigfield S, Li JL, Ledaki I, Turley H, et al., Carbonic anhydrase IX 497 promotes tumor growth and necrosis in vivo and inhibition enhances anti-VEGF therapy. Clin 498 Cancer Res 2012; 18: 3100-11. 499 33. Stoner M, Saville B, Wormke M, Dean D, Burghardt RSafe S, Hypoxia induces 500 proteasome-dependent degradation of estrogen receptor alpha in ZR-75 breast cancer cells. 501 Mol Endocrinol 2002; 16: 2231-42. 502 34. Hatfield SM, Kjaergaard J, Lukashev D, Schreiber TH, Belikoff B, Abbott R, et al., 503 Immunological mechanisms of the antitumor effects of supplemental oxygenation. Sci Transl 504 Med 2015; 7: 277ra30. 505 35. Jayaprakash P, Ai M, Liu A, Budhani P, Bartkowiak T, Sheng J, et al., Targeted hypoxia 506 reduction restores T cell infiltration and sensitizes prostate cancer to immunotherapy. J Clin 507 Invest 2018; 128: 5137-5149. 508 36. De Luna N, Suarez-Calvet X, Lleixa C, Diaz-Manera J, Olive M, Illa I, et al., Hypoxia 509 triggers IFN-I production in muscle: Implications in dermatomyositis. Sci Rep 2017; 7: 8595. 510 37. Engel C, Brugmann G, Lambing S, Muhlenbeck LH, Marx S, Hagen C, et al., RIG-I Resists 511 Hypoxia-Induced Immunosuppression and Dedifferentiation. Cancer Immunol Res 2017; 5: 512 455-467. 513 38. Zhang W, Wang G, Xu ZG, Tu H, Hu F, Dai J, et al., Lactate Is a Natural Suppressor of 514 RLR Signaling by Targeting MAVS. Cell 2019. 515 39. Johnson AB, Denko NBarton MC, Hypoxia induces a novel signature of chromatin 516 modifications and global repression of transcription. Mutat Res 2008; 640: 174-9. 517 40. Wouters BG, van den Beucken T, Magagnin MG, Koritzinsky M, Fels DKoumenis C, 518 Control of the hypoxic response through regulation of mRNA translation. Semin Cell Dev Biol 519 2005; 16: 487-501. bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
520 41. Koumenis C, Naczki C, Koritzinsky M, Rastani S, Diehl A, Sonenberg N, et al., Regulation 521 of protein synthesis by hypoxia via activation of the endoplasmic reticulum kinase PERK and 522 phosphorylation of the translation initiation factor eIF2alpha. Mol Cell Biol 2002; 22: 7405-16. 523 42. Batie M, Frost J, Frost M, Wilson JW, Schofield PRocha S, Hypoxia induces rapid 524 changes to histone methylation and reprograms chromatin. Science 2019; 363: 1222-1226. 525 43. Yeh YH, Yang YC, Hsieh MY, Yeh YCLi TK, A negative feedback of the HIF-1alpha 526 pathway via interferon-stimulated gene 15 and ISGylation. Clin Cancer Res 2013; 19: 5927-39. 527 44. Eggenberger J, Blanco-Melo D, Panis M, Brennand KJtenOever BR, Type I interferon 528 response impairs differentiation potential of pluripotent stem cells. Proc Natl Acad Sci U S A 529 2019; 116: 1384-1393. 530 45. Li Y, Patel SP, Roszik JQin Y, Hypoxia-Driven Immunosuppressive Metabolites in the 531 Tumor Microenvironment: New Approaches for Combinational Immunotherapy. Front 532 Immunol 2018; 9: 1591.
533
534 bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
535 Figure 1
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Figure 1. Type I interferon (IFN) pathway expression in breast cancer cells. A) Western-blot showing protein levels of different genes
involved in the pathway in MCF7 cells cultured in normoxia, 0.1% and 1% hypoxia for 48h. B) qPCR data showing mRNA expression of
genes involved in the pathway in the same experiment (n=10). C) mRNA expression of genes in the type IFN pathway in different breast
cancer cell lines cultured in normoxia or 0.1% hypoxia for 24h (n=3). * p<0.05, ** p<0.01, *** p<0.001.
bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Figure 2 A
p=0.085 MAVS p=0.001 RIG-I p=0.0022 ADAR p=0.0.044 IFI16
CGAS p=0.024 DHX58 NS MDA5 p=1.39E-07 p=0.0003 STAT2
p=0.99 p=9.25E-19 DDX41 NS STAT1 NS IFIT3 NS MX2
p=0.93 p=5.07e-06 IFNAR1 p=2.76E-05 IRF3 p=8.79E-11 STING NS IRF7
p=0.099 p=0.0007 MX1 p=1.34E-14 IFNAR2 NS IFIT1 p=0.008 ISG15
B
Figure 2. Single-cell analysis of type I IFN pathway in MCF7. A) Violin plots showing expression (log counts) of type IFN
bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. genes in normoxia (orange) and 0.1% hypoxia (blue) after 72h. B) Heatmap correlating mRNA expression type I IFN genes
previously published with hypoxia target genes. Figure 3
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Figure 3. Type I IFN over time and during reoxygenation in MCF7 cells. A) Western-blot showing protein levels of different genes involved in the
pathway in MCF7 cells cultured in normoxia for 48h or 0.1% hypoxia for 4h, 8h, 16h, 24h and 48h. B) qPCR data showing mRNA expression of
genes involved in the pathway in the same experiment (n=3). C) Western-blot showing protein changes in MCF7 when exposed to normoxia or 0.1%
hypoxia for 48h and after reoxygenation for 8h, 16h and 24h. D) qPCR data showing mRNA expression changes for the same experiment (n=3). *
p<0.05, ** p<0.01, *** p<0.001.
bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Figure 4
A B hypoxia normoxia POLY I:C, 100 Poly I:C 0 10ng 20ug 0 10ng 20ug IVT-RNA *** Normoxia 80 * 0.1% hypoxia
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D BT474 MDA-453 T47D MDA-468 MDA-231 normoxia hypoxia normoxia hypoxia normoxia hypoxia normoxia hypoxia normoxia hypoxia Poly I:C 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug 0 10ng 20ug MDA5
RIG-I pSTAT1 Ser727 STAT1
pIRF3 Ser386 IRF3
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bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Figure 4. Type I IFN activation by poly I:C in breast cancer cells. A) Western-blot showing protein levels of MCF7 cells cultured in
normoxia or 0.1% hypoxia for 48h and transfected with poly I:C in the last 6h. B) IFN bioassay showing Interferon Stimulated Response
Element (ISRE) activation via luciferase activity in HEK293 cells using supernatants of MCF7 cells previously treated with normoxia or
0.1% hypoxia for 24h and transfected with different concentrations of poly I:C (n=3). C) Western-blot showing protein changes in different
breast cancer cells when exposed to normoxia or 0.1% hypoxia for 48h and transfected with 20ug/ml poly I:C in the last 6h of the treatment.
* p<0.05, ** p<0.01, *** p<0.001 in normoxia and normoxia vs hypoxia, # p<0.05, ## p<0.01, ### p<0.001 in hypoxia samples. Figure 5 A MCF7-WT HIF1α-KO B Norm Hyp Norm Hyp Poly I:C - + - + - + - + * HIF1a 50 ### Normoxia
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STAT1 poly I:C concentration ADAR-p150 ADAR-p110
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n 0.20 o MCF7-WT i *** Normoxia HIF1α-KO s *** *** s 0.1% hypoxia
Norm Hyp Norm Hyp e
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e 0.010 e bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was 1 * r
not certified by peer review) is the author/funder. All rights reserved. No reuse0 allowed.3 without permission.
p
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Figure 5. HIF1α-independency of type I IFN downregulation in hypoxia. A) Western-blot showing protein changes in different MCF7-WT vs MCF7-HIF1α-KO cells when exposed to normoxia or 0.1% hypoxia for 48h and transfected with 0.5ug/ml poly I:C in the last 6h of the treatment B) ISRE activation via luciferase activity in 3C11 cells using supernatants of MCF7-WT and MCF7-HIF1α-KO cells previously treated with normoxia or 0.1% hypoxia for 24h and transfected with poly
I:C (n=3). C) IFNAR1 and IFNAR2 mRNA expression in MCF7-WT and MCF7-HIF1α-KO cells. D) IRF9 protein and mRNA levels in MCF7-WT and MCF7-HIF1α-
KO cells in the same as experiment as in A). E) mRNA expression in MCF7-WT and MCF7-HIF1α-KO cells cultured in normoxia or 0.1% hypoxia for 48h. * p<0.05,
** p<0.01, *** p<0.001 in normoxia and normoxia vs hypoxia, # p<0.05, ## p<0.01, ### p<0.001 in hypoxia samples. Figure 6 MCF7 A Control Avastin treated
80 80 60 ***
IRF3 ***
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Figure 6. Downregulation of the type I IFN staining in hypoxic tumours in vivo. A) IRF3, IRF7 and ADAR staining in MCF7
xenografts from control and avastin-treated mice and their respective quantification. B) IRF3, IRF7 and ADAR staining in MDA-MB-231
xenografts from control and avastin-treated mice and their respective quantification. n=5 per group, ** p<0.01, *** p<0.001.
bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Figure 7
↓O D 2 ↓transcription ↑HIF1α ↑ chromatin condensation
Type I IFN pathway
bioRxiv preprint doi: https://doi.org/10.1101/715151; this version posted July 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
Figure 7. ATAC-seq reveals dynamics of chromatin accessibility during hypoxia. A) MA plot of differentially accessible peaks during
hypoxia with peaks significantly more (red) or less (blue) accessible during hypoxia. B) Annotation of all ATAC-seq peaks, and peaks with
significant changes in accessibility. C) Percent of ATAC-seq peaks containing HIF1, STAT1, IRF3, FOXA1 and GATA3 transcription factor
binding motifs. Peaks are divided into transcription start site (TSS) associated and TSS-distal peaks (all other categories in B). The number of
peaks that are unchanged, decreased and increased in A) are shown graphically and following the same colour-code in C). Number of
differentially accessible peaks in each class is shown in the HIF-1 graph and are identical for the others. P-values are for a Fisher’s exact test
with Bonferroni multiple test correction. D) Schematic representation of the hypoxia-dependent and HIF1α-independent mechanism by which
hypoxia downregulates the type I IFN pathway.