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Tumors Alter Inflammation and Impair Dermal Wound Healing in Female Mice

  • Leah M. Pyter ,

    leah.pyter@osumc.edu

    Affiliations Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States of America, Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH, United States of America, Department of Neuroscience, Ohio State University, Columbus, OH, United States of America, Center for Wound Healing and Tissue Regeneration, College of Dentistry, University of Illinois at Chicago, Chicago, IL, United States of America

  • Yasmin Husain,

    Affiliation Center for Wound Healing and Tissue Regeneration, College of Dentistry, University of Illinois at Chicago, Chicago, IL, United States of America

  • Humberto Calero,

    Affiliation Center for Wound Healing and Tissue Regeneration, College of Dentistry, University of Illinois at Chicago, Chicago, IL, United States of America

  • Daniel B. McKim,

    Affiliation Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States of America

  • Hsin-Yun Lin,

    Affiliations Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States of America, Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH, United States of America

  • Jonathan P. Godbout,

    Affiliations Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States of America, Department of Neuroscience, Ohio State University, Columbus, OH, United States of America

  • John F. Sheridan,

    Affiliations Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH, United States of America, Deparment of Biosciences, College of Dentistry, Ohio State University, Columbus, OH, United States of America

  • Christopher G. Engeland,

    Affiliations Center for Wound Healing and Tissue Regeneration, College of Dentistry, University of Illinois at Chicago, Chicago, IL, United States of America, Department of Biobehavioral Health and College of Nursing, Pennsylvania State University, University Park, PA, United States of America

  • Phillip T. Marucha

    Affiliations Center for Wound Healing and Tissue Regeneration, College of Dentistry, University of Illinois at Chicago, Chicago, IL, United States of America, College of Dentistry, Oregon Health and Sciences University, Portland, OR, United States of America

Abstract

Tissue repair is an integral component of cancer treatment (e.g., due to surgery, chemotherapy, radiation). Previous work has emphasized the immunosuppressive effects of tumors on adaptive immunity and has shown that surgery incites cancer metastases. However, the extent to which and how tumors may alter the clinically-relevant innate immune process of wound healing remains an untapped potential area of improvement for treatment, quality of life, and ultimately, mortality of cancer patients. In this study, 3.5 mm full-thickness dermal excisional wounds were placed on the dorsum of immunocompetent female mice with and without non-malignant flank AT-84 murine oral squamous cell carcinomas. Wound closure rate, inflammatory cell number and inflammatory signaling in wounds, and circulating myeloid cell concentrations were compared between tumor-bearing and tumor-free mice. Tumors delayed wound closure, suppressed inflammatory signaling, and altered myeloid cell trafficking in wounds. An in vitro scratch “wounding” assay of adult dermal fibroblasts treated with tumor cell-conditioned media supported the in vivo findings. This study demonstrates that tumors are sufficient to disrupt fundamental and clinically-relevant innate immune functions. The understanding of these underlying mechanisms provides potential for therapeutic interventions capable of improving the treatment of cancer while reducing morbidities and mortality.

Introduction

Tissue repair is a fundamental and evolutionarily conserved immune process [1]. Certain chronic disease populations require extensive tissue repair as part of successful treatment of their disease. For example, cancer patients undergo at least one treatment procedure that damages healthy tissue: surgery, radiation, chemotherapy [2]. Given the systemic immune changes caused by cancer, it is likely that the clinically-relevant process of wound healing becomes compromised in these patients. Empirical data on wound healing during cancer are underwhelming [3, 4]. One study reports 34% more non-healing surgical wounds in cancer patients relative to cancer-free controls [5]. Extra time is allotted for proper stabilization of wounds in cancer patients in order to maximize successful reconstruction [6], supporting evidence that healing is impaired. However, the limited oncological data on wound healing is often secondary to other aims and lack cancer-free controls [7, 8]. Several older studies in rats also suggest that tumors reduce wound strength, possibly through cachexia-related mechanisms [911]. Impairments or delays in the healing of these wounds are particularly injurious because they can delay tumor removal and treatment progress [6], increase morbidity, disfigurement/scarring, and stress [12], and potentially cause secondary cancerous lesions to form [13].

The typically late diagnosis and diffuse nature of head and neck cancer (HNC), in particular, causes tissue-damaging treatments to be common, extensive, and numerous [12, 14]. The long duration of surgery time for these tumors also contributes to poor healing outcomes. Pre-treatment biopsy wounds, tooth extractions, portacath, tracheotomies, feeding tube insertionS, and other minor dental surgeries are common preventative procedures [15] that require proper healing and stabilization before surgical tumor resection can occur [16], thereby potentially extending the time for cancer growth and spread. HNC surgery causes high rates of infection (24–87%) [1719], which is positively correlated with tumor stage [20] and morbidity [19]. Recurrence has stagnated at about 50% [14]. Thus, post-surgical healing often occurs in the presence of remaining cancer cells.

HNC is highly immunosuppressive [21, 22], characterized by elevations in bone marrow-derived circulating immature myeloid progenitor cells, often described as myeloid-derived suppressor cells (MDSCs). MDSCs have been studied primarily in terms of their suppressive effects on T-cell or natural killer cell number and function [23], although recent evidence suggests they also suppress macrophage inflammatory function [24]. Indeed, one study reports decreased macrophage fractions in surgical drainage fluid of cancer patients relative to non-cancer controls [25]. Normal wound healing consists of three overlapping and interdependent phases: hemostasis/inflammation, proliferation, and scar formation/remodeling. The inflammatory phase is characterized by chemotactic signaling (e.g., CCL2, CCL3, CXCL8) from resident keratinocytes, platelets, and parenchyma cells to recruit neutrophils and macrophages [26, 27]. Both of these cell types phagocytose invading microorganisms and debris and promote inflammation through cytokine release (e.g., IL-1β, IL-6, TNFα). Neutrophils are the first responders, with peak wound infiltration one day post-wounding, whereas macrophages peak around Day 3 post-wounding [28, 29]. Thus, through inhibitory effects on myeloid cells, cancer-induced immunosuppression may impair wound healing during this initial inflammatory phase.

For this work, we hypothesized that distal oral squamous cell carcinomas delay dermal wound healing in mice and are associated with altered inflammation. By better understanding the interactions between tumors and wounds, biomarkers can be used as a predictor of healing responses during cancer treatment and mechanism-specific interventions can be implemented. Improved healing would decrease morbidity and costs, accelerate cancer treatment plans, and ultimately reduce patient mortality. In addition to being of considerable clinical significance, this work contributes to the paucity of biological understanding of how essential immune functioning is affected during cancer.

Materials and Methods

Animals

Nulliparous female C3H mice (Charles River, Wilmington, MA) were housed 5/cage and acclimated to the vivarium for 1–2 weeks. Females were used to avoid non-experimental wounding from fighting that occurs in cohabitating males. Mice were housed using a 14:10 light:dark cycle with lights on at 06:00 h in a facility controlled for temperature (21 ± 1°C). Rodent chow (Harlan 7912) and water were available ad libitum throughout the study and shredded paper was available for nest building. All animal experiments were approved by the University of Illinois at Chicago or Ohio State University Institutional Animal Care and Use Committee and carried out in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals (Institute for Laboratory Animal Resources, 1996). All efforts were made to minimize animal suffering and to reduce the number of mice used.

Cells

The murine oral cancer cell line AT-84, originating from C3H mice [30], was generously provided by Dr. Shulin Li at MD Anderson (Houston, TX, USA) and grown in RPMI-1640 with 10% FBS, 2 mM L-glutamine, 0.1 mM non-essential amino acids,10 mM N-2-HEPES buffer, 100 units penicillin/ml, and 100 μg streptomycin/ml at 37°C with 5% CO2.

Cancer

Between 8–10 weeks of age, 100 mice were separated equally into cancer and control treatment groups. Mice were acclimated to handling three times in the preceding two weeks. They were anesthetized (100 mg/kg ketamine mixed with 10 mg/kg xylazine, i.p.) and then injected in the flank (s.c.) with either a 150 μl suspension of 1.5 x 106 AT-84 cells (n = 50) or PBS vehicle (n = 50). Ear notches were made at this time for identification purposes. This procedure results in oral squamous cell carcinomas [3032], the most common type of oral cancer in humans [33], that do not metastasize (Lou 2003). This is a validated syngeneic model, allowing for the immune system to remain intact. Body mass was measured twice/week until wounding, at which time body mass was measured daily.

Dermal Wounding Procedure and Analysis

When average tumor dimensions were ~0.5 x 0.5 cm (16 d post-tumor induction), mice were wounded. All mice were anesthetized again (100 mg/kg ketamine mixed with 10 mg/kg xylazine, i.p.), the dorsal skin was shaved, cleaned with alcohol, and wounded by placing two full-thickness excisional wounds through the dorsal skin using 3.5 mm sterile biopsy punches (Miltex Instrument Company, Plainsboro, NJ, USA) just below the shoulder blades to prevent mice from licking their own wounds. Wound closure was assessed via daily pictures of the wounds (through Day 5 post-wounding) and images were analyzed by a single investigator (L.P or Y.H.). Photographs of the biopsy sites were taken with a 3.5 mm standard-sized dot placed beside the wound to control for variations in photograph angle and distance. Wound size was measured by Adobe Acrobat Pro software [34] and expressed as the ratio of the wound area to the dot measurement, then as a ratio to the original wound size on Day 0 [34]. Wounds from half of the mice in all treatment groups were harvested using sterile 6.0 mm punch biopsies (Miltex Instrument Company) on Day 1 and the other half on Day 5 post-wounding (n = 5-12/group) following deep anesthetization (ketamine/xylazine). Wounds were either flash frozen for genomic comparison of factors known to regulate wound healing using quantitative RT-PCR (qRT-PCR; n = 9-12/group) or processed for flow cytometric analyses (n = 2-3/group). Cardiac whole blood was collected in heparin-lined syringes for complete blood count (CBC) analysis of circulating myeloid cells by the Biological Resources Laboratory at UIC. Additional groups of unwounded tumor-bearing and control mice (n = 8-10/group) sampled at the same time relative to tumor induction were added for these blood tests.

Quantitative RT-PCR

Total RNA was extracted from wound tissue as described in detail elsewhere [35]. RNA concentrations were measured and 260/280 ratios were determined (NanoDrop, DE, USA). Total RNA was reverse transcribed using SuperScript First-Strand kits (Invitrogen, NY, USA) according to the manufacturer’s protocol. RNase H (1 μl) was added to each sample and incubated at 37°C for 20 min and then 1 μl cDNA was diluted 1:5 with RNAse-free water and stored in -20°C for qRT-PCR. Sixteen genes of interest were chosen based on their role in wound macrophage recruitment (Ccl2 [Mcp-1], Ccl3 [Mip-1], Cx3cl1 [fractalkine]), neutrophil recruitment (Cxcl1 [Kc], Cxcl2 [Mip-2]), pro-inflammatory (IL-1β, Tnfα, IL-6), anti-inflammatory (Il-10, Tgf-β, Ccl1), classical macrophage activation (Cxcl10, Ccl5, Tlr4), and wound healing macrophage activation (Ccl22, Igf-1). Mouse TaqMan Gene Expression Assays were purchased from Applied Biosystems (Carlsbad, CA, USA) with probes labeled with 6-FAM and MGB (non-fluorescent quencher) at the 5’ and 3’ ends, respectively: Il-1β (Mm00434228_m1), IL-6 (Mm00446190_m1), Ccl3 (Mm00441259_g1), Cxcl1 (Mm04207460_m1), Il-10 (Mm00439614_m1), Tgfβ (Mm01178820_m1), Tlr4 (Mm00445273_m1), Tnfα (Mm00443260_g1), Ccl2 (Mm00445109_m1), Cxcl2 (Mm00436450_m1), Cx3cl1 (Mm00436454_m1), Cxcl10 (Mm00445235_m1), Ccl22 (Mm00436439_m1), Ccl5 (Mm01302427_m1), Ccl1 (Mm00441236_m1), Igf-1 (Mm00439560_m1), Gapdh (Mm99999915_g1; labeled with VIC). The universal two-step RT-PCR cycling conditions used on the 7000 Sequence Detection System (Applied Biosystems) were: 50°C (2 min), 95°C (10 min), 40 cycles of 95°C (15 s) and 60°C (1 min). Relative gene expression of individual samples run in duplicate was calculated by the comparative CT method (2-ΔCT). Genes of interest that were below detectability were considered zero if their endogenous control value was within the normal range.

Flow cytometry

In a subset of mice (n = 5/cancer treatment), tumor tissue was collected on Day 1 or 5 post-wounding and processed for myeloid cell quantification using flow cytometry. Briefly, both wounds were collected from each mouse using a 6.5 mm biopsy punch immediately following CO2 asphyxiation and collected in an enzymatic digestion solution (3.3 mg/ml each of collagenase I, collagenase XI, hyaluronidase) until further processing [36]. Wounds were then minced and rotated at 37°C for 1 h. The digest was filtered through a 70-μm nylon cell strainer, rinsed, centrifuged, resuspended, and then the total number of cells was determined using a BD Coulter Particle Count and Size Analyzer (Beckman Coulter). Staining of cell surface antigens was performed as previously described [37, 38]. In brief, Fc receptors were blocked with anti-CD16/CD32 antibody (eBioscience, San Diego, CA, USA) and then cells were incubated with the appropriate conjugated antibodies (CD11b [M1/70], Ly6C [AL-21], Ly6G [1A8], Il-4Rα [mIL4R-M1],BD Biosciences, San Jose, CA, USA) for 1 h at 4°C. Cells were washed and then resuspended in FACS buffer for analysis. Nonspecific binding was assessed using isotype-matched antibodies. Antigen expression was determined using a Becton-Dickinson FACSCalibur four-color cytometer (BD Biosciences). Data were analyzed using FlowJo software (Tree Star, Ashland, OR, USA) and positive labeling for each antibody was determined based on isotype stained controls.

In vitro “wound” scratch assay

This assay is used as a simplified system by which to study healing-relevant cell migration and proliferation [39, 40]. In under 4 passages, adult murine primary dermal fibroblasts (Cell Biologics, Chicago, IL, USA) were grown in 6-well plates to ~100% confluence using the manufacturer’s fibroblast medium (M2267). Media was removed, cells were rinsed with PBS, and then the monolayer was artificially wounded by scratching across each well with a 200 μl pipette tip (approximately 1 mm diameter). The wells were washed with fibroblast media to remove debris. Then, either fibroblast-conditioned fibroblast media or AT-84 cell-conditioned fibroblast media was applied (n = 6 wells/treatment). These conditioned media were generated from a 6-hour exposure to a ~75% confluent flask of the above-mentioned fibroblasts (control) or AT-84 cells (tumor cells used in in vivo experiments), respectively. At 0, 18, and 26 h post-scratching, images of the scratch in two areas of each well were photographed at 10X magnification using a CMOS digital camera mounted on the inverted microscope (Jenco, Portland, OR, USA) and accompanying ToupView software. Wound width was measured by a blind observer (H.L.), averaged for each well, and the percentage of scratch closure relative to the original scratch (0 h) was calculated and compared between media treatments.

Statistical analysis

Differences in wound closure, tissue masses, mRNA expression, flow cytometry, and scratch width were analyzed using repeated measures or 2-way ANOVA with Statview version 5.0.1 software (Scientific Computing, Cary, NC, USA). Tumor treatment was treated as a between-subjects variable and time was treated as a within-subjects variable. Data were determined to be statistically significant when p < 0.05 and are presented as mean ± standard error of the mean (SEM).

Results

Body Weight

Relative to their weight on the day of tumor inoculation, body weight did not differ between tumor-bearing and–free mice on Day 1 post-wounding (change in body mass: control 2.4 ± 4.4, tumor-bearing 3.3 ± 2.6 g; p>0.05). Tumor mass increased from 0.18 ± 0.03 g at one day after wounding to 0.35 ± 0.03 g at 5 days post-wounding. As expected, spleen mass mirrored this increase in tumor mass for tumor-bearing mice from 0.12 ± 0.034 g at one day after wounding to 0.17 ± 0.04 g at 5 days post-wounding. As spleen mass did not change over time in tumor-free controls (Day 1: 0.1 ± 0.03 g; Day 5: 0.1 ± 0.02 g), spleen mass was significantly greater in tumor-bearing mice 5 days post-wounding relative to controls (t1,8 = 3.1; p<0.05).

Cancer delays dermal wound closure

Dermal wound area, in all mice, decreased over the five days (F4,72 = 52.7, p<0.05). However, tumors reduced wound closure over time relative to tumor-free controls (F4,72 = 4.1, p<0.005; Fig 1).

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Fig 1. Tumors delay dermal wound closure.

(A) Average percent (±SEM) of original 3.5 mm dermal excisional wound size analyzed over 5 days using digital photography. (B) Representative photographs of wounds over time. Unhealed skin is circled. n = 10/group; *p<0.05.

https://doi.org/10.1371/journal.pone.0161537.g001

Wound myeloid cell infiltration

Neutrophils decreased in dermal wounds from Day 1 to Day 5 post-wounding in all mice, but only reached statistical significance in tumor-bearing mice (F1,6 = 4.4, p<0.05; Fig 2A & 2B). While tumor treatment interacted with time for wound neutrophils (F1,6 = 7.4, p<0.05), their Day 5 reduction with tumors did not reach statistical significance (p = 0.08).Total macrophage (Ly6Chigh + Ly6Clow) numbers rose in wounds from Day 1 to Day 5 post-wounding in controls as predicted, but tumors reversed this coordinated macrophage infiltration pattern (F1,6 = 24.4, p<0.01; data shown separately for Ly6Chigh and Ly6Clow; Fig 2C & 2D). Specifically, the number of mature macrophages (Ly6Clow) increased over time in tumor-free mice as expected (Fig 2D). Conversely, although tumor-bearing mice displayed high counts of mature wound macrophages on Day 1 post-wound, the expected rise in mature cells by Day 5 was absent (F1,6 = 24.9, p<0.01; Fig 2D). Thus, in tumor-bearing mice, a lack of macrophage maturation occurred over time, despite these same mice having more immature (Ly6Chigh) wound macrophages with the potential to mature than controls (on Day 1; Fig 2C). Five days after wounding, numbers of immature macrophages in tumor-bearing mice dropped to levels even below those of tumor-free controls (F1,6 = 12.7, p<0.05, Fig 2C). Of these infiltrating wound Mo/MΦ, the expression of a myeloid-derived suppressor cell marker, IL-4Rα, increased in all mice (F1,6 = 6.8, p<0.05; Fig 2E), with a tendency for tumors to escalate this increase (p = 0.2). Taken together, myeloid cells entered (macrophages) and exited (neutrophils and macrophages) the wounds more rapidly in tumor-bearing mice than in tumor-free controls.

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Fig 2. Tumors alter absolute myeloid cell numbers in wounds examined 1 or 5 days after wounding.

Representative flow cytometry bivariate dot plots of Ly6C and Ly6G labeling of CD11b+ wound cells from mice (A) without tumors and with tumors 1 or 5 days post-wounding. Gates: R1 = Ly6Chigh Mo/MΦ, R2 = Ly6ClowMo/MΦ, and R3 = Neutrophils. Average (±SEM) (B) neutrophil (Cd11b/Ly6G+), (C) Ly6Chigh Mo/ MΦ, and (D) Ly6Clow Mo /MΦ isolated from wound tissues and quantified using flow cytometry. (E) Average (±SEM) percent of these Ly6Chigh or Ly6Clow Mo/ MΦ expressing IL-4Rα protein. n = 2-3/group; *p<0.05 within the same cancer treatment over time; #p<0.05 between treatments.

https://doi.org/10.1371/journal.pone.0161537.g002

Dermal wound qPCR

The examination of inflammatory gene expression in wound tissues revealed two distinct and consistent patterns. First, tumors consistently reduced inflammatory gene expression; this was evident on Day 1 and/or Day 5 post-wounding, depending upon the marker (Fig 3). Statistically, this was represented by a significant main effect of tumor treatment (note: Ccl2 also had a significant treatment x day interaction, F1,36 = 4.5, p<0.05). Tumors reduced Il-1β (F1,36 = 9.5, p<0.005), Ccl3 (F1,36 = 5.1, p<0.05), Cxcl1 (F1,36 = 5.4, p<0.05), Il-10 (F1,36 = 13.7, p<0.005), and Tlr4 (F1,36 = 13.4, p<0.005) in wounds. Secondly, a pattern of reduced inflammatory gene expression on Day 1 post-wounding followed by higher gene expression on Day 5 was observed in tumor-bearing mice relative to controls (Fig 4). This interaction of tumor treatment by time was statistically significant for Tnfα (F1,36 = 6.2, p<0.05), Cxcl2 (F1,36 = 5.7, p <0.05), Cxcl10 (F1,36 = 8.5, p<0.01), Tgf-β (F1,33 = 6.8, p<0.01), and Igf-1 (F1,36 = 8.4, p<0.01). No statistically significant main effects of tumor or interactions with time were evident for other inflammation-related genes (Il-6, Ccl5, Ccl1, Ccl22, Cx3cl1; p>0.05).

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Fig 3. Tumors reduce relative gene expression of inflammatory markers in wounds.

Average (±SEM) quantitative expression of (A) Tlr4, (B) IL-1β, (C) Ccl2, (D) IL-10, (E) Ccl3, and (F) Cxcl1 mRNA extracted from wound tissue 1 or 5 days post-wounding. n = 8-10/group; *p<0.05 between cancer treatments.

https://doi.org/10.1371/journal.pone.0161537.g003

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Fig 4. Tumors alter gene expression pattern of select inflammatory/growth factors in wounds over time.

Average (±SEM) quantitative expression of (A) Tnfα, (B) Cxcl2, (C) Cxcl10, (D) Tgf-β, and (E) Igf-1mRNA extracted from wound tissue 1 or 5 days post-wounding. n = 8-10/group; *p<0.05 between cancer treatments.

https://doi.org/10.1371/journal.pone.0161537.g004

Circulating myeloid cell concentrations

Tumors significantly elevated circulating neutrophils (F1,52 = 4.3, p<0.05) and monocytes (F1,52 = 6.1, p<0.05) over time, primarily driven by the 5 day post-wounding interval (Fig 5). Wounding further increased total white blood cell populations over time (F1,52 = 15.6, p<0.01), and specifically, neutrophils (F1,52 = 10.7, p<0.01). Wounding tended to modulate circulating monocyte increases in tumor-bearing mice one day post-wounding (F1,33 = 3.8, p = 0.06).

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Fig 5.

Absolute circulating myeloid cell concentrations (CBC) with and without wounding. Average (±SEM) circulating (A) total white blood cells, (B) neutrophils, and (C) monocytes in tumor-bearing and -free mice with and without dermal wounding. n = 8-10/group; *p<0.05 within the same cancer treatment between wounding treatments; #p<0.05 between cancer treatments with same wound treatment; &p<0.05 within the tumor groups between Days 1 & 5.

https://doi.org/10.1371/journal.pone.0161537.g005

Scratch Assay

Migration and proliferation of adult murine fibroblasts reduced the scratch width over time in all wells (F1,10 = 27.1; p<0.01; Fig 6). However, tumor cell-conditioned media attenuated the scratch recovery or “healing” relative to fibroblast-conditioned control media at 18 h post-scratching (p≤0.05) with a similar trend at 26 h post-scratching (p = 0.1).

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Fig 6. Tumor cell-conditioned media reduces murine fibroblast migration and proliferation.

(A) Schematic of conditioned media paradigm and in vitro “wounding” scratch assay. (B) Average (±SEM) percent decrease in scratch “wound” width of adult murine fibroblasts 18 and 26 h post-scratching cultured with fibroblast-conditioned control media or tumor cell-conditioned media. n = 6 wells/group; *p≤0.05 between treatments (C) Representative photographs of scratch assay. Black bars represent margins of scratch.

https://doi.org/10.1371/journal.pone.0161537.g006

Discussion

The overall reduction in wound closure in tumor-bearing mice (and in vitro) may represent a delay in closure or the manifestation of a non-healing wound phenotype. While previous studies indicate that healed wound tissue may be weaker in tumor-bearing rats [911], this is the first study to empirically assess wound closure kinetics in the context of cancer. The rate of wound closure is a measure of the early and tightly-coordinated inflammatory and proliferative phases of wound healing. It represents the window of time in which the body is particularly vulnerable to external pathogens. Therefore, delayed wound closure increases the risk of potential bacterial infection, which in turn, can prolong pain and increase hospital stay and cost [41]. Indeed, bacterial infection incidence is higher in tumor resection surgeries compared with elective surgery [41]. Given that the trajectory of wound closure in the tumor-bearing mice appears to be flattening out, further studies are necessary to determine the extent to which this closure delay persists. Of note, this tumor model did not result in cachexia (e.g., weight loss), therefore, the slower healing kinetics were not due to overall metabolic changes. This work suggests that tumor biology itself is sufficient to impair tissue repair, which is likely to be compounded by chemotherapy, radiation, and other cancer-treatments [4244].

Differences in wound closure between groups became apparent relatively early in the inflammatory phase (Day 2–3), suggesting that leaking, infiltration, recruitment, or function of myeloid cells into the wound were altered. Indeed, this was strongly supported by the wound flow cytometry data. Both immature (Ly6Chigh) and mature Mo/MΦ rapidly infiltrated (or were already resident) into the wounds of tumor-bearing mice one day after wounding. This was faster than expected in a dermal excisional wound model, which classically has the peak macrophage infiltration closer to 3–5 days post-wounding [29, 45] (see tumor-free control data). This may be supported by the finding that smaller percentages of macrophages drained out of tumor-resected wounds in a clinical study than from wounds of non-cancerous surgeries [25]. This rapid infiltration may reflect a general increase in bone marrow myelopoiesis [46] and rapid shunting of monocytes in the circulation to wounds in the tumor model, both of which are supported by the circulating myeloid cell results. Wounding tended to decrease circulating monocytes on Day 1 in the tumor-bearing mice, but increased them in controls. In fact, some of these infiltrating cells may be comparable to myeloid-derived suppressor cells in tumors given their tendency to express IL-4Rα [47]. Potential functional suppression of immune activity by these cells requires further investigation. However, 1) mature macrophages, not just bone-marrow derived immature monocytes, were elevated in the wounds from tumor-bearing mice, and 2) neutrophils did not appear to mirror this early over-abundance. The distinct possibility that macrophages were previously trafficked to unwounded skin during tumor growth is under current investigation. Of note, the roles of neutrophils and macrophages in wound healing are somewhat debated. While these cells release many cytokines and growth factors and protect and clean the wound [48, 49], they may not be absolutely necessary for tissue repair as demonstrated by studies of fetal wound healing and using myeloid cell-depleted knock-out newborn mice [50, 51]. Further, in models of other chronic diseases that are characterized by delayed wound healing (e.g., diabetes), macrophage and/or neutrophil depletion has unexpectedly improved healing [52, 53]. This suggests that the early abundance of macrophages in the wounds of tumor-bearing mice may, in fact, be detrimental to wound closure. Previous work from our lab indicates that wound myeloid cell flow cytometry in other models corroborates both wound histological analyses of myeloid cell infiltration and gene expression analyses [54].

In contrast, both neutrophils and Mo/MΦ were reduced in wounds of tumor-bearing mice later in the healing process (5 days post-wounding). At this time, neutrophils are typically cleared out of the wounds through apoptosis and phagocytosis, however, here the decline in wound neutrophils was greater in tumor-bearing mice than controls. Likewise, for Mo/MΦ, the immature Ly6Chigh Mo/MΦ not only decreased over time, but fell significantly below that of tumor-free mice on Day 5. Concurrently, circulating monocytes and neutrophils were elevated in the tumor-bearing mice. This suggests that monocytes from the bone marrow were either recruited to the wounds less in tumor-bearing mice (as some wound chemokine and chemotactic data suggested) at this later phase of healing and/or emigrated out of the wounds via the lymphatic system more than tumor-free mice. It is unlikely that these immature cells simply turned over into a more mature phenotype, as there was no increase in mature Mo/MΦ at this time. This maturation process is evident in the controls, however, as phenotypically “mature” Mo/MΦ were significantly elevated by Day 5 post-wounding. These Ly6Clow Mo/MΦ are hypothesized to differentiate into pro-healing macrophages [55]. Taken together, the initial elevation in Mo/MΦ and the later decline in both neutrophils and Mo/MΦ in wounds of tumor-bearing mice suggest that the wound microenvironment may be uninhabitable to these myeloid cells [56] or that these cells were quickly drawn out, possibly by the competing needs of the distal tumor. Indeed, while the present research focuses on how tumors affect wounds, a robust body of research from the Ben-Eliyahu laboratory has demonstrated that surgery promotes metastasis [57]. Based on this work, which demonstrates the negative effects of endocrine responses to surgery (due to stress and tissue damage) on metastases, future studies examining the role of catecholamines in the present model are warranted. Taken together, the physiological interactions between wounds and cancer are likely bi-directional.

Six of the twelve healing-related inflammatory genes found to be affected were consistently reduced in wounds of tumor-bearing mice relative to tumor-free controls. Tlr4 has been shown to increase early in excisional wound repair and is an upstream component of signaling pathways leading to local cytokine production (e.g., IL-1β) [58]. Congruent with this pathway, wound Tlr4 mRNA was reduced in tumor-bearing mice, along with downstream IL-1β and Ccl2. This transcript immunosuppression in tumor-bearing mouse wounds is consistent with the early elevations in wound Mo/MΦ being designated as MDSCs. The lack of pro-inflammatory signaling may have also contributed to the later Mo/MΦ emigration [59] in tumor-bearing mouse wounds. In addition, expression of factors that initiate the resolution of inflammation (IL-10, Tgf-β) were also diminished one day after wounding in wound tissues of tumor-bearing mice relative to controls. Reduction in the neutrophil chemokine, Cxcl1, corroborated the relative decrease in wound neutrophils (Day 5 post-wounding) of tumor-bearing mice. In contrast, the macrophage chemokines, Ccl2 and Ccl3, were lower in wounds of mice with tumors, while wound Mo/MΦ were high. This again may indicate that some of the Mo/MΦ localization was due to leaking from blood vessels upon tissue disruption rather than active recruitment of Mo/MΦ via signaling. Reduced Mo/MΦ chemotactic signals may also be related to the quickly reduced numbers of wound Mo/MΦ by Day 5 post-wounding. Of note, previous work in other models in our lab indicate that inflammatory signal mRNA in wound tissue is comparable to that of protein, suggesting that these gene expression data are biologically relevant [54].

Six out of twelve of the early healing genes found to be altered displayed a pattern of early reduction and later elevation in wounds of tumor-bearing mice relative to controls. Given that this pattern is opposite to the Mo/MΦ pattern, the two may be inversely related. Of note, these expression profiles were observed in two neutrophil chemokines, Cxcl2 and Cxcl10, and one of the macrophage chemokines examined (fractalkine, Cx3cl1). Delayed elevations in wound Cxcl2 are also observed in wounds of chronically stressed mice [54], in which wound macrophage numbers are not altered, but their phagocytic activity is diminished. The late elevations in the wound inflammatory markers (Tnfα, chemokines) specifically indicate a delay or dysregulation of the inflammatory phase (Days 1–3 post-wounding). In summary, these gene expression analyses suggest that proper immune cell recruitment and both the initiation and resolution of the ensuing wound inflammatory response are impaired in the presence of a tumor. Of note, these inflammatory markers may represent signals coming from not only immune cells in the wounds, but also platelets, mast cells, and fibroblasts [27, 60]. As this initial study used whole wound samples, future studies can be directed to isolate and sort out specific immune cells from the wounds and thereby differentiate the specific transcript (and protein) profiles of various cell types. However, neither of these distinct patterns of gene expression explains the initial increase in dermal wound monocytes in tumor-bearing mice. The possibility that monocyte trafficking to the skin may already be elevated prior to wounding due to the presence of a tumor is a likely hypothesis that we are pursuing [61].

Based on the in vitro “wounding” assay, we conclude that humoral signals from the tumor cells can directly affect migration and/or proliferation of fibroblast cells. Because solid tumors consist of various cell types (tumor cells, immune cells, endothelial cells, fibroblasts), this is a valid distinction. In our model, the tumors are approximately 15 mm upstream from wound site (unpublished data) in the direction of the venous circulatory return, making direct humoral effects of tumor factors on skin biology a possibility. Combined with the in vivo work, these data indicate that tumors may secrete factors which alter healing through both direct (e.g., tumor cell growth factor or cytokine secretion) and indirect (e.g., myeloid cell actions) mechanisms of action. Furthermore, these data suggest that in addition to the inflammatory phase, the later proliferative phase may be independently affected by tumors.

Taken together, the delayed or suppressed inflammatory transcriptional findings paired with those of altered immune cell counts from tumor-bearing mice corresponded with the observed delays in wound closure. There is evidence that head and neck cancer alters humoral immunity in cancer survivors long after successful treatment [62, 63]. The present model has the potential to explore the same persistence of cancer-induced alterations in innate immunity. This research indicates that fundamental immune processes are altered by tumor biology alone and suggests that interventions targeting these clinically-relevant immune functions may significantly improve patient quality-of-life and augment treatment and mortality outcomes.

Acknowledgments

The authors thank Jaclyn Tamaroff, Yan Zhao, Browning Haynes, Shireen Desai, Dr. Ariel Johnson, Dr. Lin Chen, and Juan Fang for technical assistance and Drs. Charles Zhou and Louisa DiPietro (and lab members) for advice and use of equipment.

Author Contributions

  1. Conceptualization: LP DM CE PM.
  2. Data curation: LP DM HL.
  3. Formal analysis: LP CE.
  4. Funding acquisition: LP CE PM JG JS.
  5. Investigation: LP YH HC DM HL.
  6. Methodology: LP HL.
  7. Project administration: LP.
  8. Resources: LP CE PM JG JS.
  9. Supervision: JG JS PM LP CE.
  10. Validation: LP HL.
  11. Visualization: LP DM.
  12. Writing - original draft: LP DM CE.
  13. Writing - review & editing: LP DM CE JG JS.

References

  1. 1. Neves J, Demaria M, Campisi J, Jasper H. Of flies, mice, and men: evolutionarily conserved tissue damage responses and aging. Developmental cell. 2015;32(1):9–18. pmid:25584795; PubMed Central PMCID: PMC4450349.
  2. 2. Payne WG, Naidu DK, Wheeler CK, Barkoe D, Mentis M, Salas RE, et al. Wound healing in patients with cancer. Eplasty. 2008;8:e9. Epub 2008/02/12. pmid:18264518; PubMed Central PMCID: PMC2206003.
  3. 3. McNees P. Skin and wound assessment and care in oncology. Semin Oncol Nurs. 2006;22(3):130–43. Epub 2006/08/09. pmid:16893742.
  4. 4. de Araujo T, Valencia I, Federman DG, Kirsner RS. Managing the patient with venous ulcers. Ann Intern Med. 2003;138(4):326–34. Epub 2003/02/15. pmid:12585831.
  5. 5. McNees P, Meneses KD. Pressure ulcers and other chronic wounds in patients with and patients without cancer: a retrospective, comparative analysis of healing patterns. Ostomy Wound Manage. 2007;53(2):70–8. Epub 2007/02/13. pmid:17293631.
  6. 6. Harreus U. Surgical errors and risks—the head and neck cancer patient. GMS current topics in otorhinolaryngology, head and neck surgery. 2013;12:Doc04. pmid:24403972; PubMed Central PMCID: PMC3884539.
  7. 7. Maida V, Ennis M, Corban J. Wound outcomes in patients with advanced illness. International wound journal. 2012. Epub 2012/02/03. pmid:22296576.
  8. 8. Simon A, Sofka K, Wiszniewsky G, Blaser G, Bode U, Fleischhack G. Wound care with antibacterial honey (Medihoney) in pediatric hematology-oncology. Support Care Cancer. 2006;14(1):91–7. Epub 2005/08/03. pmid:16075253.
  9. 9. Lawrence WT, Norton JA, Harvey AK, Gorschboth CM, Talbot TL, Grotendorst GR. Wound healing in sarcoma-bearing rats: tumor effects on cutaneous and deep wounds. J Surg Oncol. 1987;35(1):7–12. Epub 1987/05/01. pmid:3573776.
  10. 10. Crawford DT, Ketcham AS. A Standard Model for Tensiometric Studies. J Surg Res. 1965;5:265–9. pmid:14296968.
  11. 11. Devereux DF, Thistlethwaite PA, Thibault LE, Brennan MF. Effects of tumor bearing and protein depletion on wound breaking strength in the rat. J Surg Res. 1979;27(4):233–8. pmid:480946.
  12. 12. Kolokythas A. Long-term surgical complications in the oral cancer patient: A comprehensive review. Part II. J Oral Maxillofac Res. 2010;1(3):e2. pmid:24421972
  13. 13. Gerlach MA. Wound care issues in the patient with cancer. Nurs Clin North Am. 2005;40(2):295–323. Epub 2005/06/01. pmid:15924896.
  14. 14. Kolokythas A. Long-term surgical complications in the oral cancer patient: A comprehensive review. Part I. J Oral Maxillofac Res. 2010;1(3):e1. pmid:24421971
  15. 15. Andrews N, Griffiths C. Dental complications of head and neck radiotherapy: Part 2. Aust Dent J. 2001;46(3):174–82. Epub 2001/11/07. pmid:11695155.
  16. 16. Sahai SK. Perioperative assessment of the cancer patient. Best practice & research Clinical anaesthesiology. 2013;27(4):465–80. pmid:24267552.
  17. 17. Allareddy V, Karimbux NY, Dodson TB, Lee MK. Predictors of never events in patients undergoing radical dissection of cervical lymph nodes. Oral surgery, oral medicine, oral pathology and oral radiology. 2013;115(6):710–6. pmid:23246228.
  18. 18. Weber RS, Callender DL. Antibiotic prophylaxis in clean-contaminated head and neck oncologic surgery. Ann Otol Rhinol Laryngol Suppl. 1992;155:16–20. pmid:1728894.
  19. 19. Ogihara H, Takeuchi K, Majima Y. Risk factors of postoperative infection in head and neck surgery. Auris Nasus Larynx. 2009;36(4):457–60. Epub 2008/12/30. pmid:19111412.
  20. 20. Coskun H, Erisen L, Basut O. Factors affecting wound infection rates in head and neck surgery. Otolaryngol Head Neck Surg. 2000;123(3):328–33. pmid:10964316.
  21. 21. Duray A, Demoulin S, Hubert P, Delvenne P, Saussez S. Immune suppression in head and neck cancers: a review. Clinical & developmental immunology. 2010;2010:701657. pmid:21437225; PubMed Central PMCID: PMC3061296.
  22. 22. Jewett A, Head C, Cacalano NA. Emerging mechanisms of immunosuppression in oral cancers. J Dent Res. 2006;85(12):1061–73. Epub 2006/11/24. pmid:17122156.
  23. 23. Vasquez-Dunddel D, Pan F, Zeng Q, Gorbounov M, Albesiano E, Fu J, et al. STAT3 regulates arginase-I in myeloid-derived suppressor cells from cancer patients. J Clin Invest. 2013;123(4):1580–9. pmid:23454751; PubMed Central PMCID: PMC3613901.
  24. 24. Beury DW, Parker KH, Nyandjo M, Sinha P, Carter KA, Ostrand-Rosenberg S. Cross-talk among myeloid-derived suppressor cells, macrophages, and tumor cells impacts the inflammatory milieu of solid tumors. J Leukoc Biol. 2014. pmid:25170116.
  25. 25. Weissflog D, Kroegel C, Luttmann W, Grahmann PR, Hasse J. Leukocyte infiltration and secretion of cytokines in pleural drainage fluid after thoracic surgery: impaired cytokine response in malignancy and postoperative complications. Chest. 1999;115(6):1604–10. Epub 1999/06/23. pmid:10378556.
  26. 26. Park JE, Barbul A. Understanding the role of immune regulation in wound healing. Am J Surg. 2004;187(5A):11S–6S. Epub 2004/05/19. pmid:15147986.
  27. 27. Wilgus TA. Immune cells in the healing skin wound: influential players at each stage of repair. Pharmacol Res. 2008;58(2):112–6. Epub 2008/08/30. pmid:18723091.
  28. 28. DiPietro LA, Burdick M, Low QE, Kunkel SL, Strieter RM. MIP-1alpha as a critical macrophage chemoattractant in murine wound repair. J Clin Invest. 1998;101(8):1693–8. pmid:9541500; PubMed Central PMCID: PMC508751.
  29. 29. Martin P, Leibovich SJ. Inflammatory cells during wound repair: the good, the bad and the ugly. Trends Cell Biol. 2005;15(11):599–607. pmid:16202600.
  30. 30. Hier MP, Black MJ, Shenouda G, Sadeghi N, Karp SE. A murine model for the immunotherapy of head and neck squamous cell carcinoma. Laryngoscope. 1995;105(10):1077–80. Epub 1995/10/01. pmid:7564839.
  31. 31. Lou E, Kellman RM, Hutchison R, Shillitoe EJ. Clinical and pathological features of the murine AT-84 orthotopic model of oral cancer. Oral Dis. 2003;9(6):305–12. Epub 2003/11/25. pmid:14629332.
  32. 32. Vahle AK, Kerem A, Ozturk E, Bankfalvi A, Lang S, Brandau S. Optimization of an orthotopic murine model of head and neck squamous cell carcinoma in fully immunocompetent mice—role of toll-like-receptor 4 expressed on host cells. Cancer Lett. 2012;317(2):199–206. pmid:22123294.
  33. 33. Funk GF, Karnell LH, Robinson RA, Zhen WK, Trask DK, Hoffman HT. Presentation, treatment, and outcome of oral cavity cancer: a National Cancer Data Base report. Head Neck. 2002;24(2):165–80. pmid:11891947.
  34. 34. Horan MP, Quan N, Subramanian SV, Strauch AR, Gajendrareddy PK, Marucha PT. Impaired wound contraction and delayed myofibroblast differentiation in restraint-stressed mice. Brain Behav Immun. 2005;19(3):207–16. Epub 2005/03/31. pmid:15797309.
  35. 35. Mercado AM, Padgett DA, Sheridan JF, Marucha PT. Altered kinetics of IL-1 alpha, IL-1 beta, and KGF-1 gene expression in early wounds of restrained mice. Brain Behav Immun. 2002;16(2):150–62. pmid:11908924.
  36. 36. Koh TJ, Novak ML, Mirza RE. Assessing macrophage phenotype during tissue repair. Methods Mol Biol. 2013;1037:507–18. pmid:24029956.
  37. 37. Wohleb ES, Hanke ML, Corona AW, Powell ND, Stiner LM, Bailey MT, et al. beta-Adrenergic receptor antagonism prevents anxiety-like behavior and microglial reactivity induced by repeated social defeat. J Neurosci. 2011;31(17):6277–88. Epub 2011/04/29. pmid:21525267; PubMed Central PMCID: PMC3160240.
  38. 38. Wohleb ES, Powell ND, Godbout JP, Sheridan JF. Stress-induced recruitment of bone marrow-derived monocytes to the brain promotes anxiety-like behavior. J Neurosci. 2013;33(34):13820–33. Epub 2013/08/24. pmid:23966702; PubMed Central PMCID: PMC3755721.
  39. 39. Chen L, DiPietro LA. Production and function of pigment epithelium-derived factor in isolated skin keratinocytes. Exp Dermatol. 2014;23(6):436–8. pmid:24698153; PubMed Central PMCID: PMC4151327.
  40. 40. Liang CC, Park AY, Guan JL. In vitro scratch assay: a convenient and inexpensive method for analysis of cell migration in vitro. Nature protocols. 2007;2(2):329–33. pmid:17406593.
  41. 41. Olsen MA, Lefta M, Dietz JR, Brandt KE, Aft R, Matthews R, et al. Risk factors for surgical site infection after major breast operation. J Am Coll Surg. 2008;207(3):326–35. Epub 2008/08/30. pmid:18722936.
  42. 42. Franz MG, Steed DL, Robson MC. Optimizing healing of the acute wound by minimizing complications. Curr Probl Surg. 2007;44(11):691–763. pmid:18036992.
  43. 43. Haubner F, Ohmann E, Pohl F, Strutz J, Gassner HG. Wound healing after radiation therapy: review of the literature. Radiat Oncol. 2012;7:162. pmid:23006548; PubMed Central PMCID: PMC3504517.
  44. 44. Lawrence WT, Talbot TL, Norton JA. Preoperative or postoperative doxorubicin hydrochloride (adriamycin): which is better for wound healing? Surgery. 1986;100(1):9–13. pmid:3726767.
  45. 45. Chen L, Arbieva ZH, Guo S, Marucha PT, Mustoe TA, DiPietro LA. Positional differences in the wound transcriptome of skin and oral mucosa. BMC genomics. 2010;11:471. Epub 2010/08/14. pmid:20704739; PubMed Central PMCID: PMC3091667.
  46. 46. Engler H, Bailey MT, Engler A, Sheridan JF. Effects of repeated social stress on leukocyte distribution in bone marrow, peripheral blood and spleen. J Neuroimmunol. 2004;148(1–2):106–15. pmid:14975591.
  47. 47. Mandruzzato S, Solito S, Falisi E, Francescato S, Chiarion-Sileni V, Mocellin S, et al. IL4Ralpha+ myeloid-derived suppressor cell expansion in cancer patients. J Immunol. 2009;182(10):6562–8. pmid:19414811.
  48. 48. Leibovich SJ, Ross R. The role of the macrophage in wound repair. A study with hydrocortisone and antimacrophage serum. Am J Pathol. 1975;78(1):71–100. pmid:1109560; PubMed Central PMCID: PMC1915032.
  49. 49. Mirza R, DiPietro LA, Koh TJ. Selective and specific macrophage ablation is detrimental to wound healing in mice. Am J Pathol. 2009;175(6):2454–62. pmid:19850888; PubMed Central PMCID: PMC2789630.
  50. 50. Martin P, D'Souza D, Martin J, Grose R, Cooper L, Maki R, et al. Wound healing in the PU.1 null mouse—tissue repair is not dependent on inflammatory cells. Curr Biol. 2003;13(13):1122–8. pmid:12842011.
  51. 51. Wilgus TA. Regenerative healing in fetal skin: a review of the literature. Ostomy Wound Manage. 2007;53(6):16–31; quiz 2–3. pmid:17586870.
  52. 52. Dovi JV, He LK, DiPietro LA. Accelerated wound closure in neutrophil-depleted mice. J Leukoc Biol. 2003;73(4):448–55. pmid:12660219.
  53. 53. Goren I, Muller E, Schiefelbein D, Christen U, Pfeilschifter J, Muhl H, et al. Systemic anti-TNFalpha treatment restores diabetes-impaired skin repair in ob/ob mice by inactivation of macrophages. J Invest Dermatol. 2007;127(9):2259–67. pmid:17460730.
  54. 54. Tymen SD, Rojas IG, Zhou X, Fang ZJ, Zhao Y, Marucha PT. Restraint stress alters neutrophil and macrophage phenotypes during wound healing. Brain Behav Immun. 2013;28:207–17. Epub 2012/08/14. pmid:22884902.
  55. 55. Shi C, Pamer EG. Monocyte recruitment during infection and inflammation. Nature reviews Immunology. 2011;11(11):762–74. pmid:21984070; PubMed Central PMCID: PMC3947780.
  56. 56. Mosser DM, Edwards JP. Exploring the full spectrum of macrophage activation. Nature reviews Immunology. 2008;8(12):958–69. 10.1038/nri2448. 19029990; PubMed Central PMCID: PMC2724991. pmid:19029990
  57. 57. Neeman E, Ben-Eliyahu S. Surgery and stress promote cancer metastasis: new outlooks on perioperative mediating mechanisms and immune involvement. Brain Behav Immun. 2013;30 Suppl:S32–40. pmid:22504092; PubMed Central PMCID: PMC3423506.
  58. 58. Chen L, Guo S, Ranzer MJ, DiPietro LA. Toll-like receptor 4 has an essential role in early skin wound healing. J Invest Dermatol. 2013;133(1):258–67. Epub 2012/09/07. pmid:22951730; PubMed Central PMCID: PMC3519973.
  59. 59. Kono H, Rock KL. How dying cells alert the immune system to danger. Nature reviews Immunology. 2008;8(4):279–89. pmid:18340345; PubMed Central PMCID: PMC2763408.
  60. 60. Chakravortty D, Kumar KS. Interaction of lipopolysaccharide with human small intestinal lamina propria fibroblasts favors neutrophil migration and peripheral blood mononuclear cell adhesion by the production of proinflammatory mediators and adhesion molecules. Biochim Biophys Acta. 1999;1453(2):261–72. pmid:10036324.
  61. 61. Dhabhar FS, McEwen BS. Enhancing versus suppressive effects of stress hormones on skin immune function. Proc Natl Acad Sci U S A. 1999;96(3):1059–64. pmid:9927693.
  62. 62. Kim JW, Tsukishiro T, Johnson JT, Whiteside TL. Expression of pro- and antiapoptotic proteins in circulating CD8+ T cells of patients with squamous cell carcinoma of the head and neck. Clin Cancer Res. 2004;10(15):5101–10. Epub 2004/08/07. pmid:15297413.
  63. 63. Strauss L, Bergmann C, Gooding W, Johnson JT, Whiteside TL. The frequency and suppressor function of CD4+CD25highFoxp3+ T cells in the circulation of patients with squamous cell carcinoma of the head and neck. Clin Cancer Res. 2007;13(21):6301–11. Epub 2007/11/03. pmid:17975141.