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British Journal of Cancer logoLink to British Journal of Cancer
. 2020 Jan 13;122(5):715–725. doi: 10.1038/s41416-019-0716-y

Hypoxia differently modulates the release of mitochondrial and nuclear DNA

Amaelle Otandault 1,2,3,#, Jean-Daniel Abraham 1,2,3,#, Zahra Al Amir Dache 1,2,3, Abdelnaby Khalyfa 4, Isabelle Jariel-Encontre 5, Thierry Forné 5, Corinne Prévostel 1,2,3, Salem Chouaib 6,7, David Gozal 4, Alain R Thierry 1,2,3,
PMCID: PMC7054557  PMID: 31929518

Abstract

Background

We investigated the influence of hypoxia on the concentration of mitochondrial and nuclear cell-free DNA (McfDNA and NcfDNA, respectively).

Method

By an ultra-sensitive quantitative PCR-based assay, McfDNA and NcfDNA were measured in the supernatants of different colorectal cell lines, and in the plasma of C57/Bl6 mice engrafted with TC1 tumour cells, in normoxic or hypoxic conditions.

Results

Our data when setting cell culture conditions highlighted the higher stability of McfDNA as compared to NcfDNA and revealed that cancer cells released amounts of nuclear DNA equivalent to the mass of a chromosome over a 6-h duration of incubation. In cell model, hypoxia induced a great increase in NcfDNA and McfDNA concentrations within the first 24 h. After this period, cfDNA total concentrations remained stable in hypoxia consecutive to a decrease of nuclear DNA release, and noteworthy, to a complete inhibition of daily mitochondrial DNA release. In TC1-engrafted mice submitted to intermittent hypoxia, plasma NcfDNA levels are much higher than in mice bred in normoxia, unlike plasma McfDNA concentration that is not impacted by hypoxia.

Conclusion

This study suggests that hypoxia negatively modulates nuclear and, particularly, mitochondrial DNA releases in long-term hypoxia, and revealed that the underlying mechanisms are differently regulated.

Subject terms: Cancer metabolism, Diagnostic markers

Background

Hypoxia plays a key role in tumour progression, cell differentiation and metabolism, as well as in cell death and survival.13 The adaptation of cancer cells to the hypoxic tumour microenvironment is critical to their survival and proliferation.4 At the molecular level, cancer cells modify their metabolism, promote aerobic glycolysis and decrease mitochondrial oxidative phosphorylation, independent of cellular oxygenation levels.5 This process is known as the Warburg effect.68 Since that discovery, many studies demonstrated the impact of hypoxia on tumour progression, revealing a number of critical effects on angiogenesis,9 metastatic potential,10 protein synthesis,11 nuclear and mitochondrial DNA replication.12,13 Moreover, the aberrant angiogenesis and rapid cell proliferation create tumour areas with different degrees of hypoxia.14 Studies have shown that hypoxic tumour cells are more resistant to radiotherapy15 and to many commonly used chemotherapeutic agents.16 In clinical oncology, the presence of hypoxic cells in solid tumours is closely associated with a poor prognosis and survival in patients with many types of cancer.1719 Epidemiological studies have associated higher mortality and increased cancer aggressivity in patients with intermittent hypoxia (IH) due to obstructive sleep apnoea.20,21 Moreover, recent studies of the plasma of mice under IH have shown a correlation between oxygen deprivation in the tumour microenvironment and the presence of circulating cell-free DNA (cfDNA).22,23 Interestingly, several reports have demonstrated the significant potential of cfDNA analysis in clinical oncology.24 For instance, cfDNA detection can allow the identification of minimal residual disease,25,26 the monitoring of drug efficacy or resistance,2729 and prognosis of the disease.30,31 The potential of circulating cfDNA analysis was further shown in a recent analysis we performed on a large number of plasma samples taken from metastatic colorectal cancer (mCRC) patients, in which we compared the plasmatic concentrations of circulating cfDNA of nuclear (NcfDNA) and mitochondrial (McfDNA) origins. This analysis showed significantly higher NcfDNA concentrations in mCRC patients as compared to healthy subjects, while McfDNA concentrations were lower.3235 However, our understanding of the structure and origins of cfDNA, of their pharmacokinetics and of the correlation between DNA release and tumour biology in different physiological states, especially hypoxia, remains limited.36 The aim of the present work is to study the effect of hypoxia on the release of DNA of both nuclear and mitochondrial origins. First, we set the appropriate cell culture conditions for optimising biological observations, in particular extracellular cfDNA stability and accumulation with incubation time. Thereafter, we determined the level and kinetics of the DNA release in normoxic and hypoxic conditions in cancer cell lines. We also used an in vivo autologous model to evaluate the amount of circulating NcfDNA and McfDNA in the plasma of mice engrafted with tumour cells, which were subjected to normoxia or IH as previously performed by our group.22

Methods

Cell culture and cell lines

Human colorectal cancer cell lines (SW620, SW480 and HCT116) were cultured in RPMI-1640 medium (Wako, Osaka, Japan). DiFi and DLD1 cell lines were cultured in Dulbecco’s modified Eagle’s medium (Life Technology, UK). All media were supplemented with 10% of foetal bovine serum (Eurobio) and 100 µg/mL of penicillin–streptomycin (Gibco™). For normoxic conditions, the cells were classically incubated at 37 °C in humidified atmospheric air with 5% CO2 addition. For hypoxic incubation, cells were placed in an incubator upon 0.5% O2, 94.5% N2 and 5% CO2. Cell lines were routinely tested for mycoplasma contaminations.

Tumour animal models

C57BL/6J male mice (7 weeks old) were acquired from Jackson Laboratories (Bar Harbor, ME). Twelve mice were placed in designed environmental chambers and subjected to IH, in alternating cycles of 90 s (6% FIO2 (fraction of inspired oxygen in the air), followed by 21% FIO2, 20 cycles/h) for 12 h per day. A control group (n = 9) was exposed to continuous circulating room air (RA). After 2 weeks of exposure, 1.5 × 105 TC1 cells (ATCC, Manassas, VA, USA) were suspended in 200 µL sterile phosphate-buffered saline and injected into the middle right flank of each animal that were then exposed to the same protocol (RA or IH) during 4 weeks. The tumour growth was monitored three times per week using a calibrated calliper. Carbon dioxide (CO2) gas was used for euthanasia, and the depth of anaesthesia was monitored by toe pinch, followed by cervical dislocation as per the institutionally approved ethical protocol. These procedures were always conducted between 9:00 and 11:00 a.m. in specially designated surgical room within the institutional vivarium. At the time of sacrifice (28 days after tumour injection), blood was collected from the tail, tumours were harvested for volume and weight measurements and processed for histologic and biochemical analyses. All experimental procedures were approved by The Institutional Animal Care and Use Committee of the University of Chicago (protocol# 2190). Plasma samples were sent to IRCM (France) for blind cfDNA measurements.

Sample treatment and cfDNA extraction

All methods were performed according to the pre-analytical guidelines previously established by our group.37 Supernatants from cultured cancer cell lines or mice plasma were harvested in Eppendorf tubes, centrifuged to remove all cells (1200 × g; 10 min) and then frozen until use. After thawing, samples were centrifuged at 16,000 × g for 10 min at 4 °C to remove cellular debris and organelles.38,39 The supernatants were then transferred to 1.5 mL Eppendorf tubes and immediately extracted using the Qiagen Blood Mini Kit (Qiagen, CA), according to the manufacturer’s protocol. DNA was eluted from the column with 80 µL of elution buffer.

Measurement of cfDNA concentration by qPCR and evaluation of MNR and DNA integrity

Table 1 describes the primers used to selectively amplify human and murine DNA sequences of nuclear and mitochondrial origins. The design of the primer system was performed under a stringent selective process. Quantifications of human NcfDNA and McfDNA were performed from the amplification of a 67 bp sequence on the KRAS gene24,31 and a 67 bp sequence on the MT-COX-3 gene (short nuclear and mitochondrial amplicons, respectively).32 Fragments of 305 and 296 bp (long nuclear and mitochondrial amplicons, respectively) were amplified to evaluate DNA fragmentation by calculating the DNA integrity index (DII) (the ratio between long and short amplicon quantifications).40,41 Theoretically, the lower the DII, the more cfDNA is fragmented. The mitochondrial-to-nuclear ratio (MNR) corresponds to the ratio of the concentration of the McfDNA to that of NcfDNA, each calculated via short amplicon quantification. In order to quantify the murine circulating cfDNA, primers targeting murine KRAS (61 bp for short amplicon, 146 bp for long amplicon) or murine COX-1 (114 bp for short amplicon) were used for NcfDNA and McfDNA quantifications, respectively. Quantitative PCR (qPCR) was performed in a final reaction volume of 25 μL, which was composed of 12.5 μL of PCR mixture (Bio-Rad iQ SYBR Green Supermix), 2.5 μL of each amplification primer (3 pmol/mL), 2.5 μL of PCR-quality water and 5 µL of DNA sample. Real-time qPCR was performed as follows: hot polymerisation activation-denaturation, performed for 3 min at 95 °C, followed by 40 repeated cycles at 95 °C for 10 s and then at 60 °C for 30 s. After amplification, melting curves were generated by increasing the temperature from 60 to 90 °C in increments of 0.2 °C, to confirm the specificity of the PCR product. Human McfDNA concentrations were calculated in ng/mL, using an internal standard curve composed of serial dilutions of a 3382 bp human plasmid vector containing a unique MT-CO3 gene sequence (ABM good®). The concentration and the purity of the vector solution were determined by measuring the optical density with a BioPhotometer® D30 spectrophotometer (Eppendorf). Human NcfDNA concentrations were calculated using an internal standard curve composed of serial dilutions of genomic DNA from human colorectal cancer cells previously quantified by a BioPhotometer® D30 spectrophotometer, and expressed as ng/mL. The murine genomic DNA from Promega was used to produce a standard curve. Concentrations of the standard curve were expressed as ng/mL and were used to determine the concentration of NcfDNA and McfDNA in the murine plasma. Mean values were calculated from triplicate reactions, and internal negative controls with PCR-quality water were routinely used.

Table 1.

List and sequence of human and murine primers used for qPCR assays.

Human Primer name Sens Sequence TM (°C) %GC Amplicon size (bp)
Nuclear DNA KRAS B2 Reverse CCCTGACATACTCCCAAGGA 59.4
KRAS B1 Forward CCTTGGGTTTCAAGTTATATG 54 67
KRAS A1 Forward GCCTGCTGAAAATGACTGA 54.5 305
Mitochondrial DNA MT-COX3 F Forward GACCCACCAATCACATGC 56 55.6
MT-COX3 R 67 Reverse TGAGAGGGCCCCTGTTAG 58.2 61.1 67
MIT-COX3 R 296 Reverse CTCAGAAAAATCCTGCGAAGA 55.9 42.9 296
Mouse Primer name Sens Sequence TM (°C) %GC Amplicon size (bp)
Nuclear DNA MU KRAS 61–146 R Reverse GCTTCATTATCCTGCTTCC 56 47.4
MU KRAS 61 R Forward TTGATTCCTTGCTAGTTCT 52 36.8 61
MU KRAS 146 F Forward TTCCCTGGGTTTTGGACTTA 45 146
Mitochondrial DNA MU MT COX1 F Forward GTCCCACTAATAATCGGAGC 60 50
MU MT COX1 R REV C Reverse TGCTTCTACTATTGATGATGC 58 55.5 114

KRAS Kirsten rat sarcoma, COX3 cytochrome c oxidase subunit 3, COX1 cytochrome c oxidase subunit 1

Stability of extracellular cfDNA and evaluation of daily released DNA

Supernatants from DLD1 and SW620 cells, previously cultured during 24 h in T25 flasks (1 million cells in 10 mL culture medium) were harvested after a 24-h period of culture, centrifuged and then placed in an incubator at 37 °C for 4 days, to evaluate the intrinsic stability of extracellular DNA over time independently of the cells. Each day, DNA was extracted from 400 µL of supernatant and McfDNA and NcfDNA concentrations were evaluated by qPCR as described previously. Short and long amplicons were quantified to measure concentrations of both NcfDNA (67 and 305 bp, respectively) and McfDNA (67 and 296 bp, respectively). This allowed us to establish the equation necessary to estimate the amount of daily released extracellular DNA every 24 h in the culture medium:

cfDNAneo-released=cfDNAmeasuredcfDNAstable.

Statistical analysis

Data are expressed as the mean (±) standard deviation. A non-parametric statistical Mann–Whitney U test was used to compare different groups of mice (GraphPad Prism software V7). Correlations were assessed using Spearman’s non-parametric method. In all figures, statistical analyses were performed at the conventional significant p value: *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001 and ****p ≤ 0.0001.

Results

NcfDNA and McfDNA stability in supernatants from DLD1 and SW620 cell cultures

As shown in Fig. 1a (DLD1 cell line) and Fig. 1b (SW620 cell line), the concentration of NcfDNA, measured via the detection of the long nuclear amplicon (black circles, full lines), dropped rapidly at D1: only 4% (DLD1 cells, Fig. 1a) and 7% (SW620 cells, Fig. 1b) of the concentration measured at D0 could be recovered. On the other hand, NcfDNA, measured via the detection of the short amplicon (black squares, dashed lines), remained relatively stable from D1 to D3 after a loss of 40% between D0 and D1, in DLD1 (Fig. 1a) or SW620 (Fig. 1b) supernatants. Likewise, McfDNA concentrations (67 and 296 bp amplicons) decreased between D0 and D1 (40% loss), but then remained stable after D1. This stability was highlighted by the mitochondrial DII value, which remained constant at 0.5 (Fig. 1c, dashed lines), in both cell lines. These profiles should be compared to the significant decrease of nuclear DII from 0.4 at D0 to 0.01 at D3 (Fig. 1c, full lines). Noteworthy, MNR values, calculated from short amplicons measurements, remained constant throughout the study delay, whatever the cell line (Fig. 1d). Thus, we show the high stability of short extracellular DNA amplicons of nuclear and mitochondrial origins in cell culture medium in the absence of cells: 60% of NcfDNA and McfDNA were recovered after 24 h of incubation (as compared to D0 of incubation), and 40% of this amount is recovered after 48 h of incubation. These results are of importance and will be used to calculate the daily release of DNA in normoxic vs. hypoxic conditions.

Fig. 1. cfDNA stability in cell culture media.

Fig. 1

After a 24-h incubation period of the DLD1 and SW620 cell lines (one million cells in T25 flask), the medium was removed, centrifuged and incubated at 37 °C in 6-well plates. The concentration of cfDNA was monitored every day (D0, D1, D2 and D3) by qPCR, targeting KRAS or COX3 genes and quantifying amplicons of 67 and 305 bp from nuclear cfDNA, and quantifying amplicons of 67 and 296 bp from mitochondrial cfDNA. The evaluation of cfDNA concentrations (in percentage of D0) is shown according to the cell line (a, b); c mitochondrial and nuclear DII; d MNR. Average values with (±) standard deviations are represented; results having been reproduced in three independent experiments, each performed in triplicate. cfDNA: extracellular cell-free DNA; DII: DNA integrity index; MNR: mitochondrial-to-nuclear DNA ratio; KRAS: Kirsten rat sarcoma; COX3: cytochrome c oxidase subunit 3.

Release of DNA in the supernatant of colorectal cancer cell lines

In order to address the question of the impact of the cell type on DNA release, different colorectal cancer cell lines (DiFi, HCT116 or SW620) were seeded at different concentrations (25,000, 100,000 or 400,000 cells per well). After 6 h of incubation, culture media and cells were collected and processed in order to quantify NcfDNA and McfDNA by qPCR. As shown in Fig. 2, levels of NcfDNA (Fig.2a) and McfDNA (Fig. 2b) increased with the number of starting cells, regardless of the cell line tested. The same observation can be made regarding intracellular DNA (evaluated with the same qPCR protocol as the supernatants), which showed increased amounts of genomic DNA (Fig. 2c) and mitochondrial DNA (Fig. 2d) in cell pellets. Noteworthy, we also observed that the proportion of cfDNA as compared to intracellular DNA is fairly constant, whatever the cell line: between 0.6 and 2.8% of nuclear DNA was released from cells in 6 h (Fig. 2e). Lower proportions of mitochondrial DNA (from 0.14 to 0.22% of total mitochondrial DNA) were found in the supernatants, as compared to nuclear cfDNA. Finally, we were able to confirm the remarkable stability of the MNR parameter in cell supernatants, regardless of the number of cells (Fig. 2f). It is also interesting to note that the MNR value varied according to cell type: due to a lower mitochondrial DNA release, the SW620 cell line showed relatively lower MNR values in the extracellular medium, compared with the DiFi and HCT116 cell lines.

Fig. 2. Release of cfDNA by colorectal cancer cells in culture.

Fig. 2

Culture media and cell pellets from colorectal cell lines (DiFi, HCT116, SW620) were harvested after 6 h of incubation at a different number of cells per well (25,000, 100,000 or 400,000). Extracellular and intracellular DNA of nuclear (a, c, respectively) or mitochondrial origin (b, d, respectively) were measured by qPCR, as described in the Methods section, and estimation was made of the percentage of DNA released in culture medium as compared to intracellular DNA (e) and of MNR (f). Average values with (±) standard deviations are represented, results having been reproduced in four independent experiments, each performed in triplicate. MNR: Mitochondrial-to-nuclear DNA ratio. P values significance: **P < 0.01.

Hypoxia effect on the release of DNA in SW620 cancer cell lines

After seeding SW620 cells for 24 h, the culture medium was replaced with a fresh medium and cells were cultured either in normoxic conditions or hypoxic conditions. Sequential aliquots of the same supernatant were sampled for 3 days (D1–D3). In normoxic condition, the total concentrations of NcfDNA and McfDNA increased during the 3 days of incubation, from 2.5 to 15.4 ng/mL (p = 0.0002) and from 0.05 to 0.14 ng/mL (p = 0.0194) respectively (Fig. 3a, b, normoxia panels). Under hypoxic conditions, total NcfDNA concentration was significantly higher in the first day of hypoxia (five times greater than under normoxic conditions; p = 0.01), and stabilised over time at 16.2 ng/mL at D3 (Fig. 3a, hypoxia panel). The total McfDNA concentration increased significantly in the first day of hypoxia (25 times greater than under normoxia; p = 0.004) and decreased slightly throughout the period of the study (1.37–0.77 ng/mL; Fig. 3b, p = 0.0436). When examining DNA release within one day, different cell behaviours can be distinguished. Indeed, owing to the results described in Fig. 1, we know that the concentrations of cfDNA measured at D2 include 60% of DNA released during the [0–24 h] period, while cfDNA measured at D3 include 60% of DNA released during the [24–48 h] period and 40% of DNA released during the [0–24 h] period. Thus, the daily release of DNA can be calculated on the basis of the following algorithm:

cfDNA[0-24h]=cfDNAD1,
cfDNA[24-48h]=cfDNAD260%cfDNA[0-24h],
cfDNA[48-72h]=cfDNAD360%cfDNA[24-48h]40%cfDNA[0-24h].

Fig. 3. cfDNA release upon normoxic and hypoxic conditions.

Fig. 3

After seeding SW620 cells for 24 h, the culture medium was replaced with a fresh medium and cells were placed in two different incubators: one with normoxic conditions (21% O2) and the other with hypoxic conditions (0.5% O2). Different aliquots of the same supernatant were sampled during 3 days (D1–D3, days of sample collection). Total concentrations of nuclear (a) and mitochondrial (b) extracellular cfDNA were quantified by qPCR. cfDNA [0–24] corresponds to the concentration of released DNA during the first 24 h; cfDNA [24–48] corresponds to the concentration of released DNA between the 24th and 48th hour of incubation; cfDNA [48–72] corresponds to the concentration of released DNA between the 48th and 72nd hour of incubation. The proportions of nuclear or mitochondrial DNA newly released during each period, as compared to the total concentration measured each day, are shown in c, d, respectively; e shows the nuclear DII of supernatants from cells cultured in normoxia (white square, dashed line) or in hypoxia (dark triangle, solid line); f shows the MNR of supernatants from cells cultured in normoxia (white square, dashed line) or in hypoxia (dark triangle, solid line). Values are presented as mean (±) standard error of four independent wells, each performed in triplicate. cfDNA: extracellular cell-free DNA; DII: DNA integrity index; MNR: mitochondrial-to-nuclear DNA ratio; n.s.: not significant. p-Values significance: *p < 0.05, **p < 0.01, ***p ≤ 0.001 and ****p ≤ 0.0001.

Consequently, under normoxic conditions, daily nuclear and mitochondrial DNA releases account, respectively, for 70 and 65% of the total concentrations measured at D2, and for 80 and 62% of the total concentrations measured at D3 (Fig. 3c, d, normoxia panels). Under hypoxia, daily release of nuclear DNA decreased down to 50% of the total NcfDNA concentration at D3, while daily mitochondrial DNA release dropped below 0.1% of the initial concentration by D3 (Fig. 3c, d, hypoxia panels). This difference of profile between normoxia and hypoxia is also illustrated in Fig. 3e, f. The nuclear DII remained low under hypoxia during the 3 days of the study (0.03–0.14; black triangles; Fig. 3e), as compared to normoxia (0.299–0.48; white squares; Fig. 3e). MNR also progressively decreased from 0.09 down to 0.04 in hypoxia, while remaining very low in normoxia (from 0.008 to 0.018; Fig. 3f).

Hypoxia influences tumour weight and plasma cfDNA levels in grafted mice

Twenty-one C57BL/6j mice engrafted with murine TC1 cells were used for in vivo experiment; nine of these mice were exposed to normoxia, while twelve were exposed to IH according to the experimental procedure depicted on Fig. 4a. Plasmatic circulating cfDNA concentrations were assessed in both conditions. Data showed a significant increase of the NcfDNA concentration in plasma from mice under IH as compared to normoxia (Fig. 4b, p = 0.0142). Conversely, McfDNA concentration was slightly decreased (but not significantly; Fig. 4c, p = 0.1886). As a result, IH greatly reduced the MNR in the plasma of grafted mice (Fig. 4e, p = 0.0022). In contrast, no statistical difference was observed for nuclear DII (Fig. 4d, p = 0.2861).

Fig. 4. In vivo effects of intermittent hypoxia.

Fig. 4

a Flow chart of the in vivo experiment: C57BL/6j mice were pre-exposed during 2 weeks to either room air or intermittent hypoxia, and then injected with 105 TC1 cells. Blood collection was performed 4 weeks after the graft. The concentrations of circulating cfDNA in plasma from mice subjected to normoxia (open boxes) or hypoxia (grey boxes) were evaluated by qPCR by targeting murine KRAS (b) or COX1 (c) genes. This allowed the evaluation of the nuclear DII (d) and the MNR (e). The effect of hypoxia on tumour weight (f) and mouse body weight gain (g) are also presented. The line from end to end of the whisker represents the minimum and maximum values of the data, the line within each box represents the median and the lower and upper boundaries of the box indicate the first and third quartiles, respectively. Significant differences between normoxia and intermittent hypoxia were estimated using the Mann–Whitney test. P values significance: *p < 0.05, **p < 0.005 and ***p < 0.0005. NcfDNA: nuclear cell-free DNA; McfDNA: mitochondrial cell-free DNA; DII: DNA integrity index; MNR: mitochondrial-to-nuclear DNA ratio; dBWT: delta body weight; n.s.: not significant.

As shown in Fig. 4f, IH increased tumour weight (p = 0.0001). Conversely, its impact on mice growth (delta body weight) was slightly negative (Fig. 4g; p = 0.0359). Correlations between tumour weight and other parameters were assessed in the grafted mice: NcfDNA is positively correlated to tumour weight (Supplementary Fig. 1a; r = 0.5992; p = 0.0041), whereas MNR is negatively correlated to tumour weight (Supplementary Fig. 1d; r = −0.5054; p = 0.0194). McfDNA and nuclear DII are not significantly correlated to tumour weight (Supplementary Fig. 1b, c, respectively).

Discussion

DNA molecules of nuclear and mitochondrial origins are found in the extracellular compartment, in vitro in the media of cell culture42,43 and in vivo in the physiological fluids.44,45 While the analysis of circulating DNA from plasma is now optimised and standardised,37 only poor experimental works have been performed with using cell culture. To accurately observe the effect of hypoxia on cells, we first carried out a study on standardising cell culture conditions to avoid any bias. We first examined the stability over time of NcfDNA concentration, as detected via the amplification of a short DNA sequence compared to a long DNA sequence to further estimate the DII as it was performed in vivo.41 The biphasic shape of the NcfDNA concentration curves suggests that at least two structural entities of different stability coexist in the pool of fragments over 67 bp. In contrast, fragments over 305 bp highly decrease with time of incubation down to nearly disappear after a few days of incubation. Thus, we can conclude that fragments of NcfDNA over 305 bp appear less stable than those higher than 67 bp in these in vitro conditions (almost 40% being still present following 2 days incubation in cell culture supernatant). We previously showed that targeting a sequence as short as possible enables to improve and consequently to accurately determine cfDNA concentration. The decrease of nuclear DII observed in our stability study, corresponding to the degradation of NcfDNA into fragments between 67 and 305 bp, can be explained by the presence of nucleosomal structures or transcription factor-associated complexes, which constitute 90–98% of the fragments detected in CRC patients.46 Conversely, McfDNA concentration is less impacted by incubation time, regardless of the targeted sequence length. This result indicates structural differences between nuclear and mitochondrial DNA in cell culture supernatant. McfDNA appears more stable as compared to NcfDNA, certainly due to different structural complexes, not yet characterised. Our group has recently demonstrated that cell culture medium could contain cell-free circulating respiratory-competent mitochondria or cell membrane- or debris-associated mitochondria,47 which could be one of the reasons why McfDNA seems protected. Noteworthy, the ratio between McfDNA and NcfDNA concentrations, which corresponds to the MNR, is highly stable and reproducible in cell-free culture medium. This observation is confirmed in cell model, as MNR, although varying according to the cell line, is constant regardless of the number of cells. This result indicates that MNR could be considered as a relevant biomarker, as it appears less influenced by collateral factors such as DNA conservation or cell number.34

In cancer cell models, our data revealed a rapid and significant release of DNA into the culture medium. A rapid release of nuclear DNA was also reported by Wang et al.48 in T47-D (80 ng/mL) and MDA-MB-231 (12 ng/mL) breast cancer cells over a short period of time (6 h of incubation). In addition to this, release of nuclear DNA was also observed during the first 24 h incubation in the culture medium of the human 143 B osteosarcoma cell line.49 As expected, we observed in our study that NcfDNA and McfDNA concentrations increased with the number of cells, corresponding to about 2% and 0.1% of the intracellular content, respectively, whatever the cancer cell lines. This difference of proportion may be explained by different mechanisms implied in either nuclear or mitochondrial DNA release. It should be noted that this 2% of NcfDNA is approximately equivalent to the extracellular release of one chromosome in 6 h, highlighting the high genomic dynamics as well as the importance of DNA release in extracellular space, which cannot therefore be considered as a marginal mechanism. From a physiological point of view, these data are of great importance because extracellular nucleic acids have been described as biologically active in inflammatory processes, and as potentially active in cell transformation and communication.50

The study of the DNA release and stability allowed us to provide an in vitro experimental model avoiding bias as much as possible in the following observations. Indeed, we took into consideration the respective stability of NcfDNA and McfDNA and the accumulation bias by using an algorithm allowing to delineate the daily rate of DNA release. Hence, our data revealed that hypoxia has a critical impact on cfDNA concentration in the supernatant of SW620 human colorectal cancer cell line, as compared to normoxic conditions, within the first 24 h of incubation. After this period of time, cfDNA concentrations did not increase further upon hypoxia. Inversely, cfDNA concentrations increase with normoxia, which allows a progressive accumulation of cfDNA in the cell supernatant. Furthermore, thanks to our stability study and the use of our algorithm, we reveal for the first time the different kinetics of nuclear and mitochondrial DNA release, revealing a biphasic behaviour of the cells submitted to hypoxia: a high release during the first 24 h followed by a reduced release at days 2 and 3. This effect was much more pronounced for mitochondrial DNA, the release of which is completely abrogated at day 3. This difference clearly indicates that the mechanisms implied in nuclear and mitochondrial DNA releases are different from each other.

The main mechanisms of nuclear DNA release described in the literature are cell death (apoptosis and necrosis) and active secretion, in particular through microparticle release.36,51 Several structures such as exosomes, apoptotic bodies, nucleosomes and virtosomes, which may contain extracellular DNA and which have been shown to be positively regulated by hypoxia, have been described.5153 Moreover, other studies have shown that increased autophagy in response to hypoxic stress allows cell survival or death.54,55 In addition, under hypoxic conditions, the endogenous antioxidant response of cells may be insufficient, resulting in an intracellular increase in reactive oxygen species (ROS),56 and the increased release of nuclear and mitochondrial DNA. It may thus be speculated that DNA release may be increased by hypoxia via exosome production, ROS or autophagy in the early steps of our study. However, when the amount of ROS of a cell is too high, the necrotic activity of p53 could be induced, therefore promoting cell death.57,58 Indeed, regulated necrosis includes multiple cell death modalities, resulting in the loss of mitochondrial inner membrane potential, disruption of ATP production, mitochondrial dysfunction and consequent necrosis. This could explain our observation that mitochondrial DNA release is more affected than nuclear DNA by late incubation upon hypoxic conditions.59 Furthermore, it was shown that mitochondria undergo fission and fusion continually in response to changes in the extracellular environment: hypoxia promotes the production of ROS that cause an increase in mitochondrial fission.60 Noteworthy, recent studies highlighted modifications in the expression of genes involved in oxidative phosphorylation,61 linking hypoxia to mitochondrial adaption to this anaerobic environment. Under hypoxia, glucose consumption increases to maintain ATP production using less efficient anaerobic glycolysis, which induces major structural and dynamical changes characterised by impairment of fusion process that leads to mitochondrial depolarisation, and finally loss of mitochondrial DNA.62,63

Under normoxic conditions, the MNR remains stable over time. This suggests a balance between cell growth and the release of nuclear DNA and mitochondrial DNA. Conversely, hypoxia leads to an imbalance in this stability. These results suggest that the regulations of mitochondrial and nuclear releases could be valuable parameters to follow-up hypoxia in patients. To date, multiple approaches exist to detect hypoxia either directly or indirectly.64 Tumour hypoxia was shown to be a prognostic biomarker, as it was shown that extracellular vesicle-associated genes could correlate with hypoxic microenvironment and predict recurrence in lung adenocarcinoma.65 Evaluating hypoxia could also be indicative for the selection of patients who would most benefit of chemo-radiotherapy.66

The in vivo effect of hypoxia on the concentration of circulating NcfDNA and McfDNA was evaluated in the plasma of mice engrafted with an autologous lung epithelial tumour model (TC1) cell line. As would be expected from our in vitro results, plasmatic NcfDNA concentration is highly correlated to tumour weight and size, both of which are increased in mice bred in a hypoxic atmosphere, as has been observed in the previous study.23 Noteworthy, circulating McfDNA is weakly related to hypoxia in the mice model, as its plasmatic concentration is not significantly different in both groups of mice. As a result, McfDNA is not correlated to tumour weight. This result is in phase with the in vitro model, since we found that after a rapid and huge increase of its concentration in extracellular medium, mitochondrial DNA release is then negatively regulated after 24 h of incubation, and to a higher extent than nuclear DNA. The lack of difference in McfDNA levels in murine plasma between hypoxia and normoxia may also be explained by the fact that, due to structural similarities with bacterial DNA, mitochondrial components, including mitochondrial DNA itself, are particularly likely to activate the immune system, leading to their degradation.67 This hypothesis should be tested by the use of immunosuppressed xenografted mice. Nevertheless, the McfDNA levels can be used to establish the MNR, which permits a more accurate discrimination between normoxic and hypoxic mice than could be done if using NcfDNA levels alone. It would therefore appear that McfDNA measurement allows a normalisation of individual differences, highlighting the discriminative power of NcfDNA.

The results of our study must be interpreted within the context of their limitations and strengths. Despite colorectal cancer cell lines appear to cover the genetic, transcriptional and phenotypic constitution of cancer cells, their characteristics may be far from those of in vivo tumours, as most in vitro cell lines are derived from rapidly growing, aggressive transplantable tumour lines. Furthermore, carcinoma cells in in vivo models form 3D structures that interact with the surrounding extracellular matrix and cells of the tumour stroma. These interactions have been shown to be essential for tumour development and progression, which prominently alter signalling pathways in both the tumour cells and the stromal cells.68,69 These preliminary results will need to be consolidated by analysis on a larger number of cell lines and mice. To obtain a more complete picture of these processes, it will be necessary to identify the release mechanisms in order to establish how and why, in hypoxic conditions, the high release of mitochondrial DNA is transient and subsequently repressed, while that of nuclear DNA is much less affected.

In summary, this is the first study to delineate concomitantly the effect of hypoxia on the levels of nuclear and mitochondrial cfDNA in cell and murine models. We have clearly shown that cancer cell lines release high amounts of mitochondrial and nuclear DNA in the extracellular compartment, and that hypoxia strongly influences the amount and manner in which these are released. We have also demonstrated that cells are able to regulate differentially the daily rate of release of DNA according to hypoxic conditions. In the grafted mice model, we have shown that MNR, which is correlated to tumour size and weight, may characterise the hypoxic condition of the tumour. While it does not fully recapitulate mCRC in patients, our in vivo study using mice engrafted with TC1 cells does suggest that analysis of MNR could be relevant in evaluating the degree of hypoxia of human tumours. Moreover, the amount of NcfDNA in plasma could be indicative of tumour size. Our study is a preliminary one, but could pave the way for the development of blood tests, which would evaluate cancer progression or residual disease.

Supplementary information

Acknowledgements

We thank Laurence Picque-Lasorsa and Dr. Safia El Messaoudi for fruitful discussions. Hypoxia studies were performed with the help of Dr. Virginie Deleuze (IGMM, Montpellier). We are grateful to Prof. E. Belembaogo and Dr. I.H. Koumakpayi from the Institut de Cancérologie de Libreville (Gabon) for their collaboration and their support. We thank Pr. Marc Ychou (ICM, Montpellier) for his support in the governance of the project.

Author contributions

A.O., J.-D.A. and Z.A.A.D. performed in vitro experiments, analysed the results and wrote the manuscript. A.K. and D.G. performed in vivo experiments. I.J.-E., T.F., C.P. and S.C. contributed to the design of experiments and to the manuscript writing. A.R.T. designed experiments, analysed the results, wrote the manuscript and managed the project.

Ethics approval and consent to participate

All experimental procedures on grafted mice were approved by The Institutional Animal Care and Use Committee of the University of Chicago (protocol # 72190).

Data availability

Data are available upon request to the corresponding author, Dr. A.R. Thierry.

Competing interests

The authors declare no competing interests.

Funding information

This work was supported by Montpellier SIRIC no. 2015-045 SIRICEOTPR150773, the Agence Nationale des Bourses du Gabon (ANBG) 760820 J and the Ligue contre le Cancer LNCCPRCR17021FF. A.R.T. is supported by INSERM.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Amaelle Otandault, Jean-Daniel Abraham

Supplementary information

Supplementary information is available for this paper at 10.1038/s41416-019-0716-y.

References

  • 1.Chen EY, Mazure NM, Cooper JA, Giaccia AJ. Hypoxia activates a platelet-derived growth factor receptor/phosphatidylinositol 3-kinase/Akt pathway that results in glycogen synthase kinase-3 inactivation. Cancer Res. 2001;61:2429–2433. [PubMed] [Google Scholar]
  • 2.Lee SLC, Rouhi P, Dahl Jensen L, Zhang D, Ji H, Hauptmann G, et al. Hypoxia-induced pathological angiogenesis mediates tumor cell dissemination, invasion, and metastasis in a zebrafish tumor model. Proc. Natl Acad. Sci. USA. 2009;106:19485–19490. doi: 10.1073/pnas.0909228106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Rofstad, E. K., Gaustad, J.-V., Egeland, T. A. M., Mathiesen, B. & Galappathi, K. Tumors exposed to acute cyclic hypoxic stress show enhanced angiogenesis, perfusion and metastatic dissemination. Int. J. Cancer127, 1535–1546 (2010). [DOI] [PubMed]
  • 4.Triner D, Shah YM. Hypoxia-inducible factors: a central link between inflammation and cancer. J. Clin. Invest. 2016;126:3689–3698. doi: 10.1172/JCI84430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bertout JA, Patel SA, Simon MC. The impact of O2 availability on human cancer. Nat. Rev. Cancer. 2008;8:967–975. doi: 10.1038/nrc2540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Warburg O, Wind F, Negelein E. The metabolism of tumors in the body. J. Gen. Physiol. 1927;8:519–530. doi: 10.1085/jgp.8.6.519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wallace DC. Mitochondria and cancer. Nat. Rev. Cancer. 2012;12:685–698. doi: 10.1038/nrc3365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Warburg, O. On the origin of cancer cells. Science 123, 309–314 (1956). [DOI] [PubMed]
  • 9.Blumenson LE, Bross ID. A possible mechanism for enhancement of increased production of tumor angiogenic factor. Growth. 1976;40:205–209. [PubMed] [Google Scholar]
  • 10.Van den Brenk, H. A., Moore, V., Sharpington, C. & Orton, C. Production of metastases by a primary tumour irradiated under aerobic and anaerobic conditions in vivo. Br. J. Cancer26, 402–412 (1972). [DOI] [PMC free article] [PubMed]
  • 11.Heacock CS, Sutherland RM. Enhanced synthesis of stress proteins caused by hypoxia and relation to altered cell growth and metabolism. Br. J. Cancer. 1990;62:217–225. doi: 10.1038/bjc.1990.264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Pastukh VM, Gorodnya OM, Gillespie MN, Ruchko MV. Regulation of mitochondrial genome replication by hypoxia: the role of DNA oxidation in D-loop region. Free Radic. Biol. Med. 2016;96:78–88. doi: 10.1016/j.freeradbiomed.2016.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Young SD, Marshall RS, Hill RP. Hypoxia induces DNA overreplication and enhances metastatic potential of murine tumor cells. Proc. Natl Acad. Sci. USA. 1988;85:9533–9537. doi: 10.1073/pnas.85.24.9533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ruan K, Song G, Ouyang G. Role of hypoxia in the hallmarks of human cancer. J. Cell. Biochem. 2009;107:1053–1062. doi: 10.1002/jcb.22214. [DOI] [PubMed] [Google Scholar]
  • 15.Dewhirst MW, Cao Y, Moeller B. Cycling hypoxia and free radicals regulate angiogenesis and radiotherapy response. Nat. Rev. Cancer. 2008;8:425–437. doi: 10.1038/nrc2397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Teicher BA. Hypoxia and drug resistance. Cancer Metastasis Rev. 1994;13:139–168. doi: 10.1007/BF00689633. [DOI] [PubMed] [Google Scholar]
  • 17.Malfettone A, Silvestris N, Paradiso A, Mattioli E, Simone G, Mangia A. Overexpression of nuclear NHERF1 in advanced colorectal cancer: association with hypoxic microenvironment and tumor invasive phenotype. Exp. Mol. Pathol. 2012;92:296–303. doi: 10.1016/j.yexmp.2012.03.004. [DOI] [PubMed] [Google Scholar]
  • 18.Swinson DEB, Jones JL, Richardson D, Wykoff C, Turley H, Pastorek J, et al. Carbonic anhydrase IX expression, a novel surrogate marker of tumor hypoxia, is associated with a poor prognosis in non-small-cell lung cancer. J. Clin. Oncol. 2003;21:473–482. doi: 10.1200/JCO.2003.11.132. [DOI] [PubMed] [Google Scholar]
  • 19.Driessen A, Landuyt W, Pastorekova S, Moons J, Goethals L, Haustermans K, et al. Expression of carbonic anhydrase IX (CA IX), a hypoxia-related protein, rather than vascular-endothelial growth factor (VEGF), a pro-angiogenic factor, correlates with an extremely poor prognosis in esophageal and gastric adenocarcinomas. Ann. Surg. 2006;243:334–340. doi: 10.1097/01.sla.0000201452.09591.f3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Nieto FJ, Peppard PE, Young T, Finn L, Hla KM, Farré R. Sleep-disordered breathing and cancer mortality: results from the Wisconsin Sleep Cohort Study. Am. J. Respir. Crit. Care Med. 2012;186:190–194. doi: 10.1164/rccm.201201-0130OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Martínez-García M-Á, Martorell-Calatayud A, Nagore E, Valero I, Selma MJ, Chiner E, et al. Association between sleep disordered breathing and aggressiveness markers of malignant cutaneous melanoma. Eur. Respir. J. 2014;43:1661–1668. doi: 10.1183/09031936.00115413. [DOI] [PubMed] [Google Scholar]
  • 22.Almendros I, Wang Y, Becker L, Lennon FE, Zheng J, Coats BR, et al. Intermittent hypoxia-induced changes in tumor-associated macrophages and tumor malignancy in a mouse model of sleep apnea. Am. J. Respir. Crit. Care Med. 2014;189:593–601. doi: 10.1164/rccm.201310-1830OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Cortese, R., Almendros, I., Wang, Y. & Gozal D. Tumor circulating DNA profiling in xenografted mice exposed to intermittent hypoxia. Oncotarget6, 556–569 (2015). [DOI] [PMC free article] [PubMed]
  • 24.Thierry AR, Mouliere F, El Messaoudi S, Mollevi C, Lopez-Crapez E, Rolet F, et al. Clinical validation of the detection of KRAS and BRAF mutations from circulating tumor DNA. Nat. Med. 2014;20:430–435. doi: 10.1038/nm.3511. [DOI] [PubMed] [Google Scholar]
  • 25.Tie J, Wang Y, Tomasetti C, Li L, Springer S, Kinde I, et al. Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer. Sci. Transl. Med. 2016;8:346ra92. doi: 10.1126/scitranslmed.aaf6219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wan JCM, Massie C, Garcia-Corbacho J, Mouliere F, Brenton JD, Caldas C, et al. Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat. Rev. Cancer. 2017;17:223–238. doi: 10.1038/nrc.2017.7. [DOI] [PubMed] [Google Scholar]
  • 27.Tissot C, Toffart A-C, Villar S, Souquet P-J, Merle P, Moro-Sibilot D, et al. Circulating free DNA concentration is an independent prognostic biomarker in lung cancer. Eur. Respir. J. 2015;46:1773–1780. doi: 10.1183/13993003.00676-2015. [DOI] [PubMed] [Google Scholar]
  • 28.Tabernero J, Lenz H-J, Siena S, Sobrero A, Falcone A, Ychou M, et al. Analysis of circulating DNA and protein biomarkers to predict the clinical activity of regorafenib and assess prognosis in patients with metastatic colorectal cancer: a retrospective, exploratory analysis of the CORRECT trial. Lancet Oncol. 2015;16:937–948. doi: 10.1016/S1470-2045(15)00138-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Thierry AR, El Messaoudi S, Mollevi C, Raoul JL, Guimbaud R, Pezet D, et al. Clinical utility of circulating DNA analysis for rapid detection of actionable mutations to select metastatic colorectal patients for anti-EGFR treatment. Ann. Oncol. 2017;28:2149–2159. doi: 10.1093/annonc/mdx330. [DOI] [PubMed] [Google Scholar]
  • 30.Mehra N, Penning M, Maas J, van Daal N, Giles RH, Voest EE. Circulating mitochondrial nucleic acids have prognostic value for survival in patients with advanced prostate cancer. Clin. Cancer Res. 2007;13:421–426. doi: 10.1158/1078-0432.CCR-06-1087. [DOI] [PubMed] [Google Scholar]
  • 31.El Messaoudi S, Mouliere F, Du Manoir S, Bascoul-Mollevi C, Gillet B, Nouaille M, et al. Circulating DNA as a strong multimarker prognostic tool for metastatic colorectal cancer patient management care. Clin. Cancer Res. 2016;22:3067–3077. doi: 10.1158/1078-0432.CCR-15-0297. [DOI] [PubMed] [Google Scholar]
  • 32.Meddeb, R., Dache, Z. A. A., Thezenas, S., Otandault, A., Tanos, R., Pastor B. et al. Quantifying circulating cell-free DNA in humans. Sci. Rep.9, 5220 (2019). [DOI] [PMC free article] [PubMed]
  • 33.Otandault A, Anker P, Al Amir Dache Z, Guillaumon V, Meddeb R, Pastor B, et al. Recent advances in circulating nucleic acids in oncology. Ann. Oncol. 2019;30:374–384. doi: 10.1093/annonc/mdz031. [DOI] [PubMed] [Google Scholar]
  • 34.Thierry, A. R. & El Messaoudi, S. Methods for screening a subject for a cancer. WO/2016/063122 (2016).
  • 35.Thierry, A. R., Tanos, R., Otandault, A., Mollevi, C., Bauer, A., Tousch G. et al. Towards a screening test for cancer by circulating DNA analysis. J. Clin. Oncol.37, (15 suppl):e13146–e13146 (2019).
  • 36.Thierry AR, El Messaoudi S, Gahan PB, Anker P, Stroun M. Origins, structures, and functions of circulating DNA in oncology. Cancer Metastasis Rev. 2016;35:347–376. doi: 10.1007/s10555-016-9629-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Meddeb, R., Pisareva, E. & Thierry, A. R. Guidelines for the preanalytical conditions for analyzing circulating cell-free DNA. Clin. Chem.5, 623–633 (2019). [DOI] [PubMed]
  • 38.El Messaoudi S, Rolet F, Mouliere F, Thierry AR. Circulating cell free DNA: preanalytical considerations. Clin. Chim. Acta. 2013;424:222–230. doi: 10.1016/j.cca.2013.05.022. [DOI] [PubMed] [Google Scholar]
  • 39.Chiu RW, Poon LL, Lau TK, Leung TN, Wong EM, Lo YM. Effects of blood-processing protocols on fetal and total DNA quantification in maternal plasma. Clin. Chem. 2001;47:1607–1613. doi: 10.1093/clinchem/47.9.1607. [DOI] [PubMed] [Google Scholar]
  • 40.Mouliere F, Robert B, Peyrotte EA, Del Rio M, Ychou M, Molina F, et al. High fragmentation characterizes tumour-derived circulating DNA. PLoS ONE. 2011;6:e23418. doi: 10.1371/journal.pone.0023418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Mouliere F, El Messaoudi S, Pang D, Dritschilo A, Thierry AR. Multi-marker analysis of circulating cell-free DNA toward personalized medicine for colorectal cancer. Mol. Oncol. 2014;8:927–941. doi: 10.1016/j.molonc.2014.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Abolhassani M, Tillotson J, Chiao J. Characterization of the release of DNA by a human leukemia-cell line hl-60. Int. J. Oncol. 1994;4:417–421. doi: 10.3892/ijo.4.2.417. [DOI] [PubMed] [Google Scholar]
  • 43.Morozkin ES, Laktionov PP, Rykova EY, Vlassov VV. Extracellular nucleic acids in cultures of long-term cultivated eukaryotic cells. Ann. NY Acad. Sci. 2004;1022:244–249. doi: 10.1196/annals.1318.038. [DOI] [PubMed] [Google Scholar]
  • 44.Fleischhacker M, Schmidt B. Circulating nucleic acids (CNAs) and cancer—a survey. Biochim. Biophys. Acta. 2007;1775:181–232. doi: 10.1016/j.bbcan.2006.10.001. [DOI] [PubMed] [Google Scholar]
  • 45.Vaissière T, Cuenin C, Paliwal A, Vineis P, Hoek G, Krzyzanowski M, et al. Quantitative analysis of DNA methylation after whole bisulfitome amplification of a minute amount of DNA from body fluids. Epigenetics. 2009;4:221–230. doi: 10.4161/epi.8833. [DOI] [PubMed] [Google Scholar]
  • 46.Sanchez C, Snyder MW, Tanos R, Shendure J, Thierry AR. New insights into structural features and optimal detection of circulating tumor DNA determined by single-strand DNA analysis. NPJ Genom. Med. 2018;3:31. doi: 10.1038/s41525-018-0069-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Al Amir Dache, Z., Otandault, A., Tanos, R., Pastor, B., Meddeb, R., Sanchez, C. et al. Blood contains circulating cell free respiratory competent mitochondria. FASEB J. in press (2019). [DOI] [PubMed]
  • 48.Wang W, Kong P, Ma G, Li L, Zhu J, Xia T, et al. Characterization of the release and biological significance of cell-free DNA from breast cancer cell lines. Oncotarget. 2017;8:43180–43191. doi: 10.18632/oncotarget.17858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Bronkhorst AJ, Wentzel JF, Aucamp J, van Dyk E, du Plessis L, Pretorius PJ. Characterization of the cell-free DNA released by cultured cancer cells. Biochim. Biophys. Acta. 2016;1863:157–165. doi: 10.1016/j.bbamcr.2015.10.022. [DOI] [PubMed] [Google Scholar]
  • 50.Anker P, Lyautey J, Lefort F, Lederrey C, Stroun M. Transformation of NIH/3T3 cells and SW 480 cells displaying K-ras mutation. C. R. Acad. Sci. III. 1994;317:869–874. [PubMed] [Google Scholar]
  • 51.Gahan PB, Stroun M. The virtosome—a novel cytosolic informative entity and intercellular messenger. Cell Biochem. Funct. 2010;28:529–538. doi: 10.1002/cbf.1690. [DOI] [PubMed] [Google Scholar]
  • 52.King HW, Michael MZ, Gleadle JM. Hypoxic enhancement of exosome release by breast cancer cells. BMC Cancer. 2012;12:421. doi: 10.1186/1471-2407-12-421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Panigrahi GK, Praharaj PP, Peak TC, Long J, Singh R, Rhim JS, et al. Hypoxia-induced exosome secretion promotes survival of African-American and Caucasian prostate cancer cells. Sci. Rep. 2018;8:3853. doi: 10.1038/s41598-018-22068-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Chen Y, Henson ES, Xiao W, Huang D, McMillan-Ward EM, Israels SJ, et al. Tyrosine kinase receptor EGFR regulates the switch in cancer cells between cell survival and cell death induced by autophagy in hypoxia. Autophagy. 2016;12:1029–1046. doi: 10.1080/15548627.2016.1164357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Zhang H, Liu B, Li T, Zhu Y, Luo G, Jiang Y, et al. AMPK activation serves a critical role in mitochondria quality control via modulating mitophagy in the heart under chronic hypoxia. Int. J. Mol. Med. 2017;41:69–76. doi: 10.3892/ijmm.2017.3213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Li P, Zhang D, Shen L, Dong K, Wu M, Ou Z, et al. Redox homeostasis protects mitochondria through accelerating ROS conversion to enhance hypoxia resistance in cancer cells. Sci. Rep. 2016;6:22831. doi: 10.1038/srep22831. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Hammond EM, Giaccia AJ. The role of p53 in hypoxia-induced apoptosis. Biochem. Biophys. Res. Commun. 2005;331:718–725. doi: 10.1016/j.bbrc.2005.03.154. [DOI] [PubMed] [Google Scholar]
  • 58.Tu H-C, Ren D, Wang GX, Chen DY, Westergard TD, Kim H, et al. The p53-cathepsin axis cooperates with ROS to activate programmed necrotic death upon DNA damage. Proc. Natl Acad. Sci. USA. 2009;106:1093–1098. doi: 10.1073/pnas.0808173106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Ying Y, Padanilam BJ. Regulation of necrotic cell death: p53, PARP1 and cyclophilin D-overlapping pathways of regulated necrosis? Cell. Mol. Life Sci. 2016;73:2309–2324. doi: 10.1007/s00018-016-2202-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Han, Y., Kim, B., Cho, U., Park, I. S., Kim, S. I., Dhanasekaran, D. N. et al. Mitochondrial fission causes cisplatin resistance under hypoxic conditions via ROS in ovarian cancer cells. Oncogene38, 7089–7105 (2019). [DOI] [PubMed]
  • 61.Zou Y-F, Rong Y-M, Tan Y-X, Xiao J, Yu Z-L, Chen Y-F, et al. A signature of hypoxia-related factors reveals functional dysregulation and robustly predicts clinical outcomes in stage I/II colorectal cancer patients. Cancer Cell Int. 2019;19:243. doi: 10.1186/s12935-019-0964-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Al Tameemi, W., Dale, T. P., Al-Jumaily, R. M. K. & Forsyth, N. R. Hypoxia-modified cancer cell metabolism. Front. Cell Dev. Biol.7, 4 (2019). [DOI] [PMC free article] [PubMed]
  • 63.Jezek P, Plecitá-Hlavatá L. Mitochondrial reticulum network dynamics in relation to oxidative stress, redox regulation, and hypoxia. Int. J. Biochem. Cell Biol. 2009;41:1790–1804. doi: 10.1016/j.biocel.2009.02.014. [DOI] [PubMed] [Google Scholar]
  • 64.Walsh JC, Lebedev A, Aten E, Madsen K, Marciano L, Kolb HC. The clinical importance of assessing tumor hypoxia: relationship of tumor hypoxia to prognosis and therapeutic opportunities. Antioxid. Redox Signal. 2014;21:1516–1554. doi: 10.1089/ars.2013.5378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Cao B, Dai W, Ma S, Wang Q, Lan M, Luo H, et al. An EV-associated gene signature correlates with hypoxic microenvironment and predicts recurrence in lung adenocarcinoma. Mol. Ther. Nucleic Acids. 2019;17:879–890. doi: 10.1016/j.omtn.2019.07.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Clavo B, Robaina F, Fiuza D, Ruiz A, Lloret M, Rey-Baltar D, et al. Predictive value of hypoxia in advanced head and neck cancer after treatment with hyperfractionated radio-chemotherapy and hypoxia modification. Clin. Transl. Oncol. 2017;19:419–424. doi: 10.1007/s12094-016-1541-x. [DOI] [PubMed] [Google Scholar]
  • 67.Zhang Q, Raoof M, Chen Y, Sumi Y, Sursal T, Junger W, et al. Circulating mitochondrial DAMPs cause inflammatory responses to injury. Nature. 2010;464:104–107. doi: 10.1038/nature08780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Bremnes RM, Dønnem T, Al-Saad S, Al-Shibli K, Andersen S, Sirera R, et al. The role of tumor stroma in cancer progression and prognosis: emphasis on carcinoma-associated fibroblasts and non-small cell lung cancer. J. Thorac. Oncol. 2011;6:209–217. doi: 10.1097/JTO.0b013e3181f8a1bd. [DOI] [PubMed] [Google Scholar]
  • 69.Bussard KM, Mutkus L, Stumpf K, Gomez-Manzano C, Marini FC. Tumor-associated stromal cells as key contributors to the tumor microenvironment. Breast Cancer Res. 2016;18:84. doi: 10.1186/s13058-016-0740-2. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supplementary Materials

Data Availability Statement

Data are available upon request to the corresponding author, Dr. A.R. Thierry.


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