- Open Access
Surgical peritoneal stress creates a pro-metastatic niche promoting resistance to apoptosis via IL-8
© The Author(s) 2018
- Received: 18 July 2018
- Accepted: 24 September 2018
- Published: 3 October 2018
The mainstay of treatment of advanced ovarian cancer (AOC) involves chemotherapy, and debulking surgery. However, despite optimal surgical procedure and adjuvant chemotherapy, 60% of patients with AOC will relapse within 5 years. Most recurrences occur in the peritoneal cavity, suggesting the existence of occult sanctuaries where ovarian cancer cells (OCC) are protected. In murine models, surgical stress favors tumor growth; however, it has never been established that surgery may affect OCC sensitivity to subsequent chemotherapy. In this study, we investigated how the surgical stress could affect the chemosensitivity of OCC.
To avoid bias due to tumor burden in peritoneal cavity and duration of surgery, we used peritoneal biopsies from patients without a malignancy at precise time points. During laparotomies, peritoneal biopsies at the incision site were performed at the time of incision (H0 sample) and 1 h after initiation of surgery (H1 sample). We evaluated the chemoresistance to Taxol (0–20 µM) induced by H0 or H1 incubation (24 h) in two ovarian cancer cell lines OVCAR3 and SKOV3 and a primary cancer cell lines derived in our laboratory.
Our results indicate that stressed peritoneum overexpressed cytokines, resulting in OCC increased resistance to therapy. Among these cytokines, IL8 was responsible for the resistance to apoptosis through the AKT pathway activation. Chemoresistance in OCC persists through the establishment of an autocrine IL8 loop. Finally, in a cohort of 32 patients, we showed an impact of IL8 tumoral overexpression on chemosensitivity and survival outcomes with a significant association to earlier recurrence.
Our study demonstrated that precision surgery where targeted treatment would be used in combination with surgery is essential to obtain better tumor control.
- Ovarian cancer
- Tumor microenvironment
Ovarian cancer is the deadliest gynecologic malignancy due to early extensive spread to the peritoneal cavity. Despite optimal surgeries and initial chemosensitivity leading in most patients to complete cytoreduction (CC-0), peritoneal recurrences will be the main site of recurrence impacting patient’ survival . In referee teams, while CC-0 is achieved in up to 80% of cases , 60% of patients with AOC will relapse within 5 years of initial diagnosis . The location of recurrences within the peritoneal cavity strongly suggests the existence of occult sanctuaries where cancer cells are protected against therapy.
We acknowledge that complete cytoreduction is theoretical in most patients, particularly in case of extended peritoneal carcinomatosis and ascites and the surgical paradigm remains macroscopic. Hence, despite macroscopic CC-0 surgery , a variable amount of microscopic residual disease will be left in place. Several studies have suggested that the crosstalk between cancer cells and host’s stromal cells may participate in the establishment of a permissive tumoral environment that subsequently favors residual disease growth and chemoresistance [5–11]. However, only few studies have provided a global approach, considering the macro-environmental changes associated with surgery [12–14]. Beyond cell–cell interactions, peritoneal trauma induced by surgery may also participate in the constitution of a niche for residual cancer cells through overproduction of secreted factors. In murine models of ovarian cancer surgical stress favors tumor growth through induction of angiogenesis and OCCs proliferation and adhesion [15, 16] through activation of the β adrenergic pathway and expression of VEGF, MMP-2 and various inflammatory cytokines, including IL6 and IL8 . However, it has never been established that surgery may influence OCC sensitivity to subsequent chemotherapy.
In this study, using a tailored model we investigated the role of surgical stress on OCC resistance to taxane-based chemotherapy. We show that stressed peritoneum overexpressed cytokines such as IL8, resulting in OCC increased resistance to therapy through the activation of AKT pathway.
Ovarian cancer cells lines SKOV3, OVCAR3, were purchased from ATCC and cultured following ATCC recommendations (ATCC, Manassas, VA, USA). A primary ovarian cancer cell line was derived in our laboratory from ascites of a patient with Stage III serous adenocarcinoma (APOCC) (REF papier utilize avant). The cell lines were cultured in DMEM high glucose (Hyclone, Thermo Scientific), 10% FBS (Hyclone, Thermo Scientific), 1% Penicillin–Streptomycin-Amphotericyn B solution (Sigma), 1× Non-Essential Amino-Acid (Hyclone, Thermo Scientific) and 1% l-glutamine. Cultures were incubated in humidified 5% CO2 incubators at 37 °C and the media was replaced every 3 days.
H0 and H1 sampling
Normal peritoneal samples of patients with suspicious ovarian tumor but finally benign were used in this study. Patients included in the PELVIMASS protocol, which was accepted by the French Research Ethics Committee chair (CPP No. 2016-A01381-42), signed informed consent. All conditions required surgical treatment with laparotomy. In each patient, 4 cm2 peritoneal samples were harvested at a required peritoneal incision site (broad ligaments) at the time of incision (H0 specimen) and 1 h after initiation of the procedure (H1 specimen). Peritoneal samples were incubated at 37 °C in DMEM low glucose for 6 h. Media were subsequently filtered, aliquoted and stored at − 80 °C.
Cell proliferation assay
Cells were plated at 50,000 cells per well in a 6 well plate in medium without FBS. Cells were then counted with a hemocytometer for the following 6 days every 2 days. Two wells were counted per conditions. The experiment was performed in triplicates. All functional assays were performed using conditioned media from three to five different patients.
Migration was assessed by wound closure assay as previously described . Briefly, Cells cultured at confluence in 24-well plates were scratched with a small tip along the ruler. Cells were then cultured for 6, 24 or 48 h in starvation media with or without MPs. The distances between the edges of the scratch were measured at 0 h and 6, 24 or 48 h after scratching. Data are represented as rate of wound closure.
Tube formation assay
A Matrigel-based capillary-genesis assay was performed on cells to assess their ability to form an organized tubular network as previously described . Briefly, cells were starved for 6 h prior the experiment. Then 100,000 cells were cultured on 250 μl of Matrigel (BD bioscience). The degree of tube formation was quantified at different time-points by measuring the intersection of tubes in three randomly chosen fields from each well using ImageJ.
Fluorescence (FL) was quantified on a SORP FACSAria2 (BD Biosciences). Data were processed with FACS Diva 6.3 software (BD Biosciences) as previously described . Doublets were excluded by FSC-W × FSC-H and SSC-W × SSC-H analysis; calcein-AM and Annexin V were acquired with 488 nm blue laser and 510/50 nm emission, PI was acquired 488 nm blue laser and 670/14 nm emission. Charts display the median of fluorescence intensity (mfi) relative to control. Single stained channels were used for compensation and fluorophore minus one (FMO) controls were used for gating. 20,000 events were acquired per sample.
Confocal microscopy was performed on fixed cells in 3.7% formaldehyde. Cells were stained with a 50 µg/ml AF647-conjugated phalloidin (Sigma) to label actin filaments. Slides were mounted in a mounting media SlowFade® Gold Antifade Reagent with DAPI (Invitrogen). Imaging was performed using a Zeiss confocal Laser Scanning Microscope 710 (Carl Zeiss). Post-acquisition image analysis was performed with Zeiss LSM Image Browser Version 220.127.116.11 (Carl Zeiss).
Calcein-AM indicates intracellular esterase activity. Cells were washed twice with Phosphate buffer saline (PBS). Cells were next stained with the 2 μM of calcein-green-AM (Molecular Probes, Invitrogen, Leiden NL) for 45 min at 37° 5% CO2 according to manufacturers instructions. They were then immediately analyzed by FACS on a SORP FACSAria2 (BD Bioscience, San Jose, CA) as described.
Western blot analysis
Western blot were carried out as previously described . Immunostaining was carried out using a rabbit monoclonal caspase3, caspase9, actin and PhosphoAKT antibody (1/1000, Cells signaling) and a secondary polyclonal mouse anti-rabbit antibody HRP conjugated (1/2000, cell signalling). Blots were developed using HRP and chemiluminescent peroxidase substrate (#CPS1120, Sigma). Data were collected using Geliance CCD camera (Perkin Elmer), and analyzed using ImageJ software (NIH).
Comparative demographics between chemoresistant and platinium sensitive patients
Platinium resistant subgroup (n = 16)
Platinium sensitive subgroup (n = 12)
60.4 (± 12.1)
63.8 (± 6.6)
24.1 (± 4.6)
23.8 (± 3.2)
CA 125 (U/ml) at baseline
2600 (± 3098.2)
1235 (± 1252.0)
87.5% (n = 14)
66.7% (n = 8)
6.25% (n = 1)
16.7% (n = 2)
8.3% (n = 1)
6.25% (n = 1)
8.3% (n = 1)
81.2% (n = 13)
100% (n = 12)
18.8% (n = 3)
Count of NAC courses
Total count of chemotherapy courses
Delay between diagnosis and surgical debulking (months)
4.3 (± 1.2)
3.9 (± 1.2)
Completeness of cytoreduction scorea
68.7% (n = 11)
83.4% (n = 10)
6.3% (n = 1)
18.7% (n = 3)
8.3% (n = 1)
6.3% (n = 1)
8.3% (n = 1)
Mean IL8 expression on tumor sample
Duration of surgical procedure (min)
428 (± 139)
310 (± 82)
Overall survival (months)
Chemoresistance and cell viability study (MTT assay)
Cell viability was examined with an MTT assay . Briefly, 24 h after treatment with doxorubicin, 10% of MTT reagent was added to each well to a final concentration of 500 μg/ml, and the cells were incubated for 4 h at 37 °C. 100 μl of DMSO were added to each well. Optical density was read at 570 nm versus 630 with an EnVision multilabel reader (PerkinElmer, Massachusetts, USA). 3 triplicates were performed per condition.
We reviewed tumor samples from 32 patients with advanced ovarian cancer (AOC) referred to Tenon Hospital (Paris, France) from January 2004 to July 2011. This study protocol was approved by the chair of the ethics committee of Paris VI, allowing the use of tumor tissues and medical chart of patients treated for ovarian cancer in our center. They all received platinium and taxane based neoadjuvant chemotherapy, followed by interval debulking surgery. All data, including demographics, FIGO stage, histological type and grade, and treatment modalities were collected retrospectively. Completeness of cytoreduction score was used to evaluate residual disease et the end of debulking surgery . During follow up, patients who relapsed within 12 months following last chemotherapy regimen or suffering from refractory disease were considered chemo resistant.
Immunohistochemistry protocol for tumor samples
Immunohistochemistry staining were performed as previously described . For each patient, we selected the most relevant tumor paraffin blocks from interval debulking surgery. Paraffin-embedded sections were deparaffinized in xylene and rehydrated in graded alcohol. Immunostaining was perfomed manually, using the Dako Envision + Dual Link System-HRP kit and anti-IL8 primary antibodies (mouse monoclonal to IL8, clone 807, ref. Ab18672, Abcam, UK). Immunostaining specificity was verified with a control antibody and a positive tissue control. All slides were counterstained with hematoxylin. Microscopic analyses were performed using a Nikon Eclipse 90i microscope (Nikon, Nikon Instrument B.V., France). Representative photographs (20× magnification) of tumor immunostaining were performed using the NIS-Element BR software package (Nikon, Nikon Instrument B.V., France). Standardized quantitative analysis of IL8 immunostaining was based on Image J software (National Institutes of health, USA). Briefly, a grid delimitating 10,000 μm2 squares was applied to each photograph, and 3 randomly selected squares were analyzed. We used the Image J cell counter plugin to count the stained an unstained tumor cells within each square. IL8 expression was defined as the rate of stained tumor cells.
All quantitative data were expressed as mean ± standard error of the mean (SEM). Statistical analysis was performed using SigmaPlot 11 (Systat Software Inc., Chicago, IL). A Shapiro–Wilk normality test, with a p = 0.05 rejection value, was used to test normal distribution of data prior further analysis. All pairwise multiple comparisons were performed by one way ANOVA followed by Holm–Sidak posthoc tests for data with normal distribution or by Kruskal–Wallis analysis of variance on ranks followed by Tukey posthoc tests, in case of failed normality test. Paired comparisons were performed by Student’s t-tests or by Mann–Whitney rank sum tests in case of unequal variance or failed normality test. Clinical data were anonymized and de-identified prior to analysis. Overall survival (OS) was computed from the date of initial diagnosis. Disease free survival (DFS) was computed from the completion of first line treatment. The first-event corresponded to death of any cause for OS and to relapse or death for DFS. OS and DFS curves were achieved using Kaplan–Meier analysis. The Cox proportional hazard regression model was used for multivariate analysis. All variables associated with p < 0.10 on univariate analysis were included in the model. Statistical significance was accepted for p < 0.05 (*), p < 0.01 (**) or p < 0.001 (***). All experiments were performed in triplicates.
Surgical peritoneal stress induces chemoresistance and pro-metastatic phenotype in ovarian cancer cells
To evaluate the effect of peritoneal conditioned media, we treated previously incubated ovarian cancer cells (OCC) with Taxol (0–20 µM). Both H0 and H1 induced resistance to Taxol compared to regular medium (APOCC, Fig. 1b–d and SKOV3 and OVCAR3, Additional file 1: Figure S1A, B). At high concentrations of Taxol (10 and 20 µM) H1 media was significantly more efficient than H0 to promote OCC survival (Fig. 1c, d). H1 media improved the proliferation of APOCC, OVCAR3 and SKOV3 cultured in starving condition (Fig. 1e and Additional file 1: Figure S1C). APOCC cell cycle analysis demonstrated an increase in S phase and G2/M when cultured with H1 (33.47% ± 0.35, 35.13% ± 0.23 and 48.66% ± 0.21 for control, H0 and H1 respectively p < 0.001; Fig. 1f).
To evaluate the impact on cancer cell phenotype, we performed confocal microscopy imaging of APOCC treated with H0 or H1. We observed an increase in F-actin stress fibers in the periphery of the cells (Fig. 1g). The stress fibers and filopods formation required for cancer cells invasion into tissues were observed only during H1 treatment. Accordingly, H1 media induced increased migration compared to H0 for all cell lines (Fig. 1h). We then evaluated cellular plasticity under H0 and H1 treatment by quantifying tube formation on matrigel after 24 h of culture (Fig. 1i). Tube formation was observed as early as 4 h after treatment with H0 or H1; however, (i) the number of tubes and the kinetic of tube formation were lower with H0 and (ii) the persistence of tubes at 6 and 24 h was only observed after H1 treatments. Overall, OCC incubation with peritoneal conditioned media resulted in a pro-metastatic phenotype and increased resistance to taxane therapy.
Effect of surgical peritoneal stress on cytokines secretion
IL-8 in H1 induces resistance to apoptosis
To investigate the downstream effectors of P53 and bcl-2 family we investigated the activation of caspases under Taxol and H1 treatment (Fig. 3c). APOCC cells pre-incubated with H1 for 24 h were treated by Taxol or anti-Fas receptor (CD95) monoclonal antibody (mAb) as positive control for apoptosis. Western blot for caspase 3 and 9 showed cleaved caspase 3 and 9 in positive controls as well as cells treated with Taxol. Pre-incubation with H1 prevented caspase 3 and 9 cleavage. The effect of H1 was inhibited by IL-8-bAB.
H1 IL-8 induces resistance to apoptosis through AKT
As illustrated previously in other models we wondered if H1 was able to induce an IL-8 autocrine loop in OCC that could participate to a pro-tumoral niche. We showed an increase expression of IL-8 receptor α and β as well as IL-8 secretion in APOCC, treated with H1 suggesting the induction of a tumor autonomous IL8 autocrine loop by H1 cytokines. IL-8 blockade or AKT inhibition using LY294002 resulted in the inhibition of this autocrine loop (Fig. 4d).
IL8 overexpression in ovarian cancer is associated with chemioresistance in vivo and impacts survival
We reviewed tumor samples from 32 patients with advanced ovarian cancer referred to Tenon Hospital from January 2004 to July 2011. They all received platinium and taxane based neoadjuvant chemotherapy. The mean overall survival (OS) and disease free survival (DFS) of our study population were 54.8 and 22 months, respectively.
Sixteen patients displayed chemoresistance as defined by a recurrence within 6 months after initial treatment. No difference was observed between chemoresistant and chemosensitive patients regarding demographic and clinical parameters. Tumoral expression of IL8 was significantly higher in chemoresistant women (31% versus 11%, respectively; p = 0.003, Table 1). On multivariate analysis, IL8 expression was the only independent risk factor for chemoresistance (HR = 1.1, p = 0.016). We determined an optimal cut-off of 40% (p = 0.005) for IL8 staining in tumor samples retrieved during debulking surgery, using iterative log-rank test to maximize its prognostic value.
Comparative demographics according to tumoral expression of IL8
Study population (n = 32)
High IL8 group (n = 8)
Low IL8 group (n = 24)
62.4 (± 10.1)
61.4 (± 12.6)
62.8 (± 9.4)
23.7 (± 3.9)
24.4 (± 4.5)
23.7 (± 3.9)
CA 125 (U/ml) at baseline
1878.5 (± 2402.6)
3615.6 (± 4010.7)
1299.6 (± 1218.2)
81.3% (n = 26)
87.5% (n = 7)
79.2% (n = 19)
3.1% (n = 1)
4.2% (n = 1)
6.2% (n = 2)
8.3% (n = 2)
9.4% (n = 3)
12.5% (n = 1)
8.3% (n = 2)
87.5% (n = 28)
75.0% (n = 6)
91.7% (n = 22)
12.5% (n = 4)
25.0% (n = 2)
8.3% (n = 2)
Number of NAC courses
Total number of chemotherapy courses
Delay between diagnosis and surgery (months)
Completeness of cytoreduction scorea
78.1% (n = 25)
62.5% (n = 5)
83.3% (n = 20)
3.1% (n = 1)
4.2% (n = 1)
12.5% (n = 4)
25.0% (n = 2)
8.3% (n = 2)
6.3% (n = 2)
12.5% (n = 1)
4.2% (n = 1)
Duration of surgical procedure (min)
389 (± 127)
360 (± 132)
401 (± 127)
Disease free survival (months)
29.4 (± 5.1)
12.2 (± 1.0)
35.6 (± 6.5)
Overall survival (months)
54.8 (± 6.1)
32.4 (± 7.3)
63.3 (± 7.1)
57.2% (n = 16)
100.0% (n = 8)
40.0% (n = 8)
42.8% (n = 12)
60.0% (n = 12)
Our results support that peritoneal response to surgical stress favors chemoresistance in ovarian cancer cells through the establishment of an autocrine IL8 loop (OCC). In our model, increased peritoneal production of IL8 is associated with resistance to apoptosis through both AKT pathway activation and OCC overexpression of IL8. In the clinical setting, we observed a detrimental impact of tumoral overexpression of IL8 on chemosensitivity and survival outcomes with a significant association to earlier recurrence, supporting the concept of a peritoneal residual niche.
To date, debulking surgery is the cornerstone in first line treatment of advanced ovarian cancer (AOC), aiming to reach complete cytoreduction. It has been demonstrated that surgical stress favors tumor growth and metastasis in AOC as in other tumor models [24–26]. Indeed, Lee et al.  have observed in a mouse model of ovarian cancer that surgical stress induced by laparotomy enhanced tumor growth and angiogenesis through β-adrenergic receptor signaling. They also observed increased serum concentrations of several inflammatory cytokines during the pre-operative period, but their panel did not include IL8. Other studies have evaluated the impact of surgical route on ovarian cancer growth [15, 16, 27–29]. Canis et al.  have provided a macroscopic evaluation of tumor growth according to the type of surgical approach (laparotomy versus laparoscopy) in a rat model of ovarian cancer. To mimic intraoperative rupture of ovarian tumor, OCC were injected at the time of surgery. They observed that the mean dissemination score 2 weeks after surgery was higher in the laparotomy group. Most implants were found along the midline abdominal scare. They also assessed the impact of surgical peritoneal environment in a pre-implanted ovarian cancer mice model [28, 29]. Mice were stratified according to surgical route: laparotomy, laparoscopy and anesthesia alone. Macroscopic evaluation revealed a significant increase in tumor load in the laparotomy group within 1st week following surgery. However, on postoperative day 14, no difference was observed between groups regarding the dissemination score. In contrast, pathological examination demonstrated an increased incidence of muscle layers invasion in the laparotomy group. While molecular analysis showed higher levels of uPAR and cMet mRNA in tumor implants within 1st week following surgical stress, no difference was observed on day 14, suggesting a transient impact of the surgical route in cancer progression. These results suggest that severity of surgical trauma is correlated with tumor load. However, laparotomy remains the standard surgical approach in patients with extended carcinomatosis since laparoscopy may underestimate disease extent . Usually adjuvant chemotherapy is initiated a month to 6 weeks after the debulking surgery. We know that patients with CCO surgery still harbor a microscopic disease, and the absence of treatment during a month constitute a window for cancer cells to define a sanctuary and eventually resist to chemotherapy. The recent trial demonstrating a survival advantage for HIPEC in the setting of interval surgery could illustrate the impact of peritoneal treatment in ovarian cancer surgery .
In our settings, surgical stress promoted OCC resistance to taxane based chemotherapy through peritoneal secretion of IL8. IL8 is a multifunctional chemokine, secreted by various cell types, including monocytes, neutrophils and endothelial, mesothelial and tumor cells . It has been demonstrated that autocrine production of IL8 by OCC was associated with increased growth, adhesion, invasion, angiogenic potential and resistance to platinium and taxane based chemotherapy [17, 32, 33]. In our model, paracrine secretion of IL8 by stressed peritoneum might contribute to a shift in OCC phenotype toward a resistant profile. This study constitutes a preliminary step toward a more comprehensive study of per and post-operative peritoneal physiology. Indeed, for simplifications and reproducibility, we have evaluated patients with no peritoneal carcinosis and at a single time-point during surgery below the normal duration of an ovarian cancer debulking surgery. We can also hypothesize that the inflammatory response of the peritoneum to the surgical stress will be variable between patients and at different time-points during surgery. The comprehensive analysis of multiple peritoneal biopsy will allow us to acquire specific knowledge of the pre and post-operative peritoneal environment and set-up specific pre-operative procedures (humidification of the peritoneum, better control of the temperature) to inhibit the establishment of a pro-tumoral niche.
In this era of precision medicine, we should consider a new paradigm with a global vision of the surgical effort. While extensive pre-operative work-up is performed to select patients, no cancer specific measures/process are performed in the immediate post-operative period when the post-operative cytokine contexture might play a role in setting-up a niche for tumor cells and subsequently affecting prognosis. Identifying the factors responsible of such phenomenon and targeting them in the context of the surgical procedure might lead to the development of precision surgery where targeted treatment will be used in combination with debulking procedure to obtain better tumor control.
JP, FV and AR designed the study. JP and AR supervised the study. JP, FV and JHV performed the experiments. JP, FV and AR analyzed and interpreted the data regarding the in vitro study. FV, CB, ED and CT analyzed and interpreted the patient data regarding the histological examination of the tumor. JP, FV and AR wrote the manuscript. All authors read and approved the final manuscript.
We thank the Flow Cytometry Facility within the Microscopy Core at Weill Cornell Medical College in Qatar for contributing to these studies. The Core is supported by the “Biomedical Research Program at Weill Cornell Medical College in Qatar”, a program funded by Qatar Foundation.
The authors declare that they have no competing interests.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Consent for publication
Ethics approval and consent to participate
Patients included in the PELVIMASS protocol, which was accepted by the French Research Ethics Committee chair (CPP No. 2016-A01381-42), signed informed consent.
This publication was made possible by grants from the Qatar National Research Fund under its National Priorities Research Program award number NPRP 09-1174-3-291 and NPRP 4-640-1-096. Its contents are solely the responsibility of the authors and do not necessarily represent the views of the Qatar National Research Fund.
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- Rizzuto I, Stavraka C, Chatterjee J, Borley J, Hopkins TG, Gabra H, Ghaem-Maghami S, Huson L, Blagden SP. Risk of ovarian cancer relapse score: a prognostic algorithm to predict relapse following treatment for advanced ovarian cancer. Int J Gynecol Cancer. 2015;25(3):416–22.View ArticleGoogle Scholar
- Luyckx M, Leblanc E, Filleron T, Morice P, Darai E, Classe JM, Ferron G, Stoeckle E, Pomel C, Vinet B, et al. Maximal cytoreduction in patients with FIGO stage IIIC to stage IV ovarian, fallopian, and peritoneal cancer in day-to-day practice: a retrospective French multicentric study. Int J Gynecol Cancer. 2012;22(8):1337–43.View ArticleGoogle Scholar
- Vidal F, Guerby P, Luyckx M, Haddad P, Stoeckle E, Morice P, Leblanc E, Lecuru F, Darai E, Classe JM, et al. Are early relapses in advanced-stage ovarian cancer doomed to a poor prognosis? PLoS ONE. 2016;11(1):e0147787.View ArticleGoogle Scholar
- Sugarbaker PH. Review of a personal experience in the management of carcinomatosis and sarcomatosis. Jpn J Clin Oncol. 2001;31(12):573–83.View ArticleGoogle Scholar
- Touboul C, Lis R, Al Farsi H, Raynaud CM, Warfa M, Althawadi H, Mery E, Mirshahi M, Rafii A. Mesenchymal stem cells enhance ovarian cancer cell infiltration through IL6 secretion in an amniochorionic membrane based 3D model. J Transl Med. 2013;11:28.View ArticleGoogle Scholar
- Touboul C, Vidal F, Pasquier J, Lis R, Rafii A. Role of mesenchymal cells in the natural history of ovarian cancer: a review. J Transl Med. 2014;12:271.View ArticleGoogle Scholar
- Pasquier J, Abu-Kaoud N, Abdesselem H, Madani A, Hoarau-Vechot J, Thawadi HA, Vidal F, Couderc B, Favre G, Rafii A. SDF-1alpha concentration dependent modulation of RhoA and Rac1 modifies breast cancer and stromal cells interaction. BMC Cancer. 2015;15:569.View ArticleGoogle Scholar
- Pasquier J, Guerrouahen BS, Al Thawadi H, Ghiabi P, Maleki M, Abu-Kaoud N, Jacob A, Mirshahi M, Galas L, Rafii S, et al. Preferential transfer of mitochondria from endothelial to cancer cells through tunneling nanotubes modulates chemoresistance. J Transl Med. 2013;11:94.View ArticleGoogle Scholar
- Lis R, Capdet J, Mirshahi P, Lacroix-Triki M, Dagonnet F, Klein C, Mirshahi M, Fournie JJ, Rafii A, Poupot M. Oncologic trogocytosis with Hospicells induces the expression of N-cadherin by breast cancer cells. Int J Oncol. 2010;37(6):1453–61.PubMedGoogle Scholar
- Rafii A, Mirshahi P, Poupot M, Faussat AM, Simon A, Ducros E, Mery E, Couderc B, Lis R, Capdet J, et al. Oncologic trogocytosis of an original stromal cells induces chemoresistance of ovarian tumours. PLoS ONE. 2008;3(12):e3894.View ArticleGoogle Scholar
- Pasquier J, Gosset M, Geyl C, Hoarau-Vechot J, Chevrot A, Pocard M, Mirshahi M, Lis R, Rafii A, Touboul C. CCL2/CCL5 secreted by the stroma induce IL-6/PYK2 dependent chemoresistance in ovarian cancer. Mol Cancer. 2018;17(1):47.View ArticleGoogle Scholar
- Matsuzaki S, Botchorishvili R, Jardon K, Maleysson E, Canis M, Mage G. Impact of intraperitoneal pressure and duration of surgery on levels of tissue plasminogen activator and plasminogen activator inhibitor-1 mRNA in peritoneal tissues during laparoscopic surgery. Hum Reprod. 2011;26(5):1073–81.View ArticleGoogle Scholar
- Canis M, Matsuzaki S, Bourdel N, Jardon K, Cotte B, Botchorishvili R, Rabischong B, Mage G. Peritoneum and laparoscopic environment. Bull Cancer. 2007;94(12):1043–51.PubMedGoogle Scholar
- Zhu P, Miao W, Gu F, Xing C. Changes of serum and peritoneal inflammatory mediators in laparoscopic radical resection for right colon carcinoma. J Minim Access Surg. 2018. https://doi.org/10.4103/jmas.JMAS_217_17.View ArticlePubMedGoogle Scholar
- Lee JW, Park YA, Cho YJ, Kang KH, Choi JJ, Lee YY, Kim TJ, Choi CH, Kim BG, Bae DS. The effect of surgical wound on ovarian carcinoma growth in an animal model. Anticancer Res. 2013;33(8):3177–84.PubMedGoogle Scholar
- Lee JW, Shahzad MM, Lin YG, Armaiz-Pena G, Mangala LS, Han HD, Kim HS, Nam EJ, Jennings NB, Halder J, et al. Surgical stress promotes tumor growth in ovarian carcinoma. Clin Cancer Res. 2009;15(8):2695–702.View ArticleGoogle Scholar
- Wang Y, Qu Y, Niu XL, Sun WJ, Zhang XL, Li LZ. Autocrine production of interleukin-8 confers cisplatin and paclitaxel resistance in ovarian cancer cells. Cytokine. 2011;56(2):365–75.View ArticleGoogle Scholar
- Ghiabi P, Jiang J, Pasquier J, Maleki M, Abu-Kaoud N, Rafii S, Rafii A. Endothelial cells provide a notch-dependent pro-tumoral niche for enhancing breast cancer survival, stemness and pro-metastatic properties. PLoS ONE. 2014;9(11):e112424.View ArticleGoogle Scholar
- Ghiabi P, Jiang J, Pasquier J, Maleki M, Abu-Kaoud N, Halabi N, Guerrouahen BS, Rafii S, Rafii A. Breast cancer cells promote a notch-dependent mesenchymal phenotype in endothelial cells participating to a pro-tumoral niche. J Transl Med. 2015;13:27.View ArticleGoogle Scholar
- Al Thawadi H, Abu-Kaoud N, Al Farsi H, Hoarau-Vechot J, Rafii S, Rafii A, Pasquier J. VE-cadherin cleavage by ovarian cancer microparticles induces beta-catenin phosphorylation in endothelial cells. Oncotarget. 2016;7(5):5289–305.View ArticleGoogle Scholar
- Pasquier J, Rioult D, Abu-Kaoud N, Marie S, Rafii A, Guerrouahen BS, Le Foll F. P-glycoprotein-activity measurements in multidrug resistant cell lines: single-cell versus single-well population fluorescence methods. Biomed Res Int. 2013;2013:676845.PubMedPubMed CentralGoogle Scholar
- Bonneau C, Rouzier R, Geyl C, Cortez A, Castela M, Lis R, Darai E, Touboul C. Predictive markers of chemoresistance in advanced stages epithelial ovarian carcinoma. Gynecol Oncol. 2015;136(1):112–20.View ArticleGoogle Scholar
- Kim JH, Yoon EK, Chung HJ, Park SY, Hong KM, Lee CH, Lee YS, Choi K, Yang Y, Kim K, et al. p53 acetylation enhances Taxol-induced apoptosis in human cancer cells. Apoptosis. 2013;18(1):110–20.View ArticleGoogle Scholar
- Kim R. Effects of surgery and anesthetic choice on immunosuppression and cancer recurrence. J Transl Med. 2018;16(1):8.View ArticleGoogle Scholar
- Behrenbruch C, Shembrey C, Paquet-Fifield S, Molck C, Cho HJ, Michael M, Thomson BNJ, Heriot AG, Hollande F. Surgical stress response and promotion of metastasis in colorectal cancer: a complex and heterogeneous process. Clin Exp Metastasis. 2018. https://doi.org/10.1007/s10585-018-9873-2.View ArticlePubMedGoogle Scholar
- Goldstein MR, Mascitelli L. Surgery and cancer promotion: are we trading beauty for cancer? QJM. 2011;104(9):811–5.View ArticleGoogle Scholar
- Canis M, Botchorishvili R, Wattiez A, Mage G, Pouly JL, Bruhat MA. Tumor growth and dissemination after laparotomy and CO2 pneumoperitoneum: a rat ovarian cancer model. Obstet Gynecol. 1998;92(1):104–8.View ArticleGoogle Scholar
- Matsuzaki S, Azuar AS, Mage G, Canis M. Impact of the surgical peritoneal environment on pre-implanted tumors on a molecular level: a syngeneic mouse model. J Surg Res. 2010;162(1):79–87.View ArticleGoogle Scholar
- Azuar AS, Matsuzaki S, Darcha C, Dechelotte PJ, Pouly JL, Mage G, Canis M. Impact of surgical peritoneal environment on postoperative tumor growth and dissemination in a preimplanted tumor model. Surg Endosc. 2009;23(8):1733–9.View ArticleGoogle Scholar
- Le Brun JF, Ferron G, Vaysse C, Baujat M, Leguevaque P, Filleron T, Querleu D. Laparoscopic observation of the diaphragm undersurface in the staging of peritoneal carcinomatosis: comparison of three optical systems. Eur J Obstet Gynecol Reprod Biol. 2012;164(1):65–8.View ArticleGoogle Scholar
- van Driel WJ, Koole SN, Sikorska K, Schagen van Leeuwen JH, Schreuder HWR, Hermans RHM, de Hingh I, van der Velden J, Arts HJ, Massuger L, et al. Hyperthermic intraperitoneal chemotherapy in ovarian cancer. N Engl J Med. 2018;378(3):230–40.View ArticleGoogle Scholar
- Wang Y, Xu RC, Zhang XL, Niu XL, Qu Y, Li LZ, Meng XY. Interleukin-8 secretion by ovarian cancer cells increases anchorage-independent growth, proliferation, angiogenic potential, adhesion and invasion. Cytokine. 2012;59(1):145–55.View ArticleGoogle Scholar
- Stronach EA, Cunnea P, Turner C, Guney T, Aiyappa R, Jeyapalan S, de Sousa CH, Browne A, Magdy N, Studd JB, et al. The role of interleukin-8 (IL-8) and IL-8 receptors in platinum response in high grade serous ovarian carcinoma. Oncotarget. 2015;6(31):31593–603.View ArticleGoogle Scholar