Skip to main content
Clinical and Translational Radiation Oncology logoLink to Clinical and Translational Radiation Oncology
. 2020 Apr 23;23:60–64. doi: 10.1016/j.ctro.2020.04.008

Biomarkers in wound drainage fluids of head and neck squamous cell carcinoma patients receiving neck dissection: A pilot study

Tommaso Gualtieri a, Pierluigi Bonomo b, Mariangela Sottili b, Monica Mangoni b, Alessandra Lavarone c, Monica Lo Russo b, Isacco Desideri b, Lorenzo Livi b, Alberto Deganello a,
PMCID: PMC7231969  PMID: 32435703

Highlights

  • Molecular prognostication lags behind for head and neck squamous cell carcinoma.

  • Analysis of wound drainage fluids after neck dissection has prognostic potential.

  • Expression of CXCL-12 may predict minimal residual disease after radical surgery.

Keywords: Head and neck squamous cell carcinoma, Neck dissection, Extranodal extension, Prognostic biomarkers, Radiotherapy

Abstract

Aim

In a pilot prospective study, we aimed to test the feasibility and report on the preliminary results on the expression of molecular biomarkers in wound drainage fluids (WDFs) of operated head and neck squamous cell carcinoma (HNSCC) patients.

Material and methods

Nineteen patients undergoing primary tumor resection with en-block neck dissection were enrolled. In postoperative days 1–3, the expression of several biomarkers in WDFs was measured using enzyme-linked immunosorbent assay (ELISA) kits and correlated with clinical and histopathologic features.

Results

The expression of stromal cell-derived factor 1 (CXCL-12) was significantly increased in WDFs in presence of lymph node metastases, extranodal extension (ENE), and in case of close resection margins. In addition, Osteopontin expression was significantly increased in presence of ENE, whereas transforming growth factor beta (TGF-β) detection was significantly reduced. At multivariate analysis, CXCL-2 levels in both day 1 and 3 post-surgery were the only factor which retained significance in the prediction of close surgical margins (p = 0.028 and 0.025 for day 1 and day 3, respectively). Both CXCL-2 and Ostepontin assays were significantly correlated with ENE (p = 0.018 and 0.035 for day 1; 0.052 and 0.025 for day 3, respectively) whereas TGF- β expression was significant at day 1 only (p = 0.038)

Conclusions

Our pilot study showed that WDFs could qualify as a potential source of relevant postoperative information. Further studies are needed to confirm the prognostic impact of CXCL-12, Osteopontin and TGF-β expressed in WDFs on the personalized management of HNSCC.

1. Introduction

The incidence of head and neck squamous cell carcinoma (HNSCC) is increasing: worldwide, it represents the sixth most common neoplasm, affecting more than 550.000 patients per year [1], [2]. In over 60% of cases, HNSCC is diagnosed at a loco-regionally advanced stage, requiring a multimodal strategy in order to pursue a curative intent. In the post-operative setting the rationale of a combined therapeutic approach, when an estimated risk of residual microscopic disease is present, is to minimize the risk of a macroscopic recurrence. Indeed, HNSCC-related mortality is mainly driven by a predominant loco-regional pattern of failure [3]. It has long been known that the presence of lymph node metastases has the largest impact on prognosis, overall reducing cancer-specific survival (CSS) by about 50% [4], with extranodal extension (ENE) portending worse regional and distant metastatic failure rates [5]. In the setting of primary surgery, the potential causative role of manipulations during intervention in facilitating loco-regional seeding of viable tumor cells has never been fully elucidated, nor is the hypothetical impact of growth factors involved in wound healing in stimulating the proliferative capacity of HNSCC clonogens [6], [7]. With the notable exception of Human Papilloma Virus (HPV) infection for oropharyngeal cancer, no molecular biomarkers are currently available in the clinic to tailor the choice of treatment at an individual level. In recent years, the biologic interplay of the tumor microenvironment in respect to hypoxia, inflammation and neo-angiogenesis was actively investigated [8]. Interest was drawn to assess the presence of growth factors in wound drainage fluids (WDFs) secreted by the host during the wound healing process in response to surgery-related tissue damage that may boost residual tumor cells proliferation [9].

Among them, high levels of Epidermal Growth Factor Receptor (EGFR) protein and of its ligand were shown to be prognosticators of reduced disease-free survival (DFS) and CSS [10]. However, these findings were not corroborated by further evidence to support their post-operative assessment in clinical decision-making. Based on the hypothesis that WDFs obtained by neck dissection drain tubes could reliably provide information on the tumor microenviroment, we designed a pilot feasibility study aiming to determine the presence and potential prognostic relevance of the following soluble protein biomarkers: Epidermal Growth Factor (EGF), Vascular Endothelial Growth Factor (VEGF), Stromal cell-derived factor 1 (CXCL-12), Transforming Growth Factor-beta (TGF-β) and Osteopontin. Mainly, EGF, the EGFR ligand, was selected for its predominant contribution to the proliferation of epithelial head and neck tumors; VEGF as inducer of angiogenesis and lymphangiogenesis; CXCL-12 and Osteopontin because of their role in tumor invasion, metastasization and homing of cancer cells; TGF-β for its importance in promoting tumor cell growth, cell differentiation, and apoptosis [11], [12], [13], [14]. The aim of our study was to explore the feasibility to detect the expression of these molecular biomarkers in WDFs following neck dissection. In addition, we sought to evaluate their correlation with standard clinico-pathological features of patients undergoing radical surgery for HNSCC.

2. Materials and methods

2.1. Patients’ population

For this prospective pilot study, we enrolled patients affected by stage II-IV (according to TNM/AJCC 7th edition) HNSCC deemed amenable to undergo radical surgery at primary tumor site en-block with ipsilateral or bilateral elective or therapeutic neck dissection, with or without regional or free flap reconstruction. In our series 17 patients (84.2%) were naïve with no history of previous treatment, 2 patients (10,5%) had a previous history of chemoradiation therapy treatment in one case with curative intent for an oropharyngeal carcinoma and as adjuvant therapy for an oral cavity carcinoma (OCC) in the other; 1 patient (5,3%) was previously treated with transoral surgery for an early stage OCC. After surgery the collected specimens were sent to the Pathology Department of the University of Florence for a thorough histopatological analysis. Neck drain tubes were placed at the end of neck dissection procedure. WDFs of postoperative days 1 and 3 were collected from the ipsilateral neck and immediately processed. Fluids were centrifuged for 15 min at 3500 rpm, then divided in aliquots and stored at −70 °C until analysis. The expression of EGF, VEGF, CXCL-12, TGF-β and Osteopontin was measured using commercially available enzyme linked immunosorbent assay (ELISA) kits, with a mean minimum detectable dose of 0.089–0.740 pg/ml for EGF, 5.0 pg/ml for VEGF, 1.0–47 pg/ml for CXCL-12, and 0.006–0.024 ng/mL for Osteopontin, respectively. Each sample was analyzed in duplicates and then averaged for the mean value. Quality control pools of low, normal, and high concentrations for all parameters were included in each assay. The optical density of each well was evaluated by the use of a microplate reader (VICTOR Multilabel Plate Reader 1420 Perkin Elmer), set to a wavelength of 450 nm. In order to correct the error caused by optical surface imperfections, another measurement was performed with a wavelength of 570 nm. A subtraction between the two essays was performed. Results were expressed in pg/ml for EGF, VEGF, CXCL-12, TGF-β whereas the results of Osteopontin were expressed in ng/ml. Data on WDFs analysis at postoperative days 1 and 3 were ultimately available for 19 cases. This prospective pilot study was reviewed and approved by the University of Florence Ethics Committee Review Board and written informed consent was obtained from all patients.

2.2. Statistical analysis

Statistical analysis was carried out using STATA 13 software (StataCorp. 2013. Stata Statistical Software: Release 13. College Station, TX: StataCorp LP). The significance of the observed differences between molecular assays at day 1 and day 3 was verified with a T-Student test. The distribution of the data by dichotomous variables was analyzed with the Fisher's exact test. In particular one-sided tests were computed because by observing the two-ways tables the possibility of a one-direction relationship was more plausible. The Wilcoxon-Mann-Whitney test was used to test if molecular assays had a different distribution by some categorical variables (such as surgical margins, extranodal extension etc.). Only with regard to the tumor stage variable, the two-sided Fisher's exact test was performed and the ANOVA model was used to assess if the molecular levels (at day 1 and day 3) were differently distributed in each group. In order to investigate if there was some relationship between homolateral lymph node density and the five molecular assays the Sperman's correlation index was calculated. The basic requirements to perform a linear regression analysis were not satisfied but considering that this is a pilot study, we believed that observing more in depth if a given molecular level can vary in relation to the other molecular levels and the lymph node density was appropriate. So a linear regression through the backward elimination technique was performed for each of the five molecular levels (both at day 1 and 3). A p-value of 0.05 was chosen in order to establish if a variable had to remain in the model.

3. Results

From November 2014 to May 2016, 19 patients affected by stage II-IV HNSCC undergoing curatively-intended surgery were enrolled in our study. Patients’ main clinical features are shown in Table 1. The mean age of the cohort was 67.7 years (SD ± 12.41; range, 51–90). According to the pathologic staging, 9 (47%) patients were classified as pT3, 6 (32%) patients as pT4a and 4 (21%) patients as pT2, respectively. The most common primary tumor site was oral cavity (12 patients; 63.1%), followed by oropharynx and larynx with 3 cases each (15.8% per site). Eleven (58%) patients presented a moderately differentiated carcinoma (G2), 4 (21%) a poorly differentiated carcinoma (G3) and 4 (21%) a well differentiated carcinoma (G1), respectively. In the analysed series, the most common surgical interventions were a partial glossectomy, glossectomy associated to a marginal mandibulectomy, total laryngectomy, glossectomy extended to the oropharynx, total laryngectomy, and a segmental mandibulectomy in 5 (26,3%), 3(15,8%), 3 (15,8%), 2 (10,5%) and 2 (10,5%) patients, respectively. The remaining two patients underwent to an inferior maxillectomy in one case and a total auriculectomy in the other. In 16 patients (84.2%), the surgical resection margins were negative, whereas in the remaining 3 patients (16%) close margins were retrieved, defined as ≤ 3 mm. Pathologic lymph node metastases were detected in 9 cases (47%), 5 of which (56%) presented ENE. A mean of 67 ml of WDFs at day 1 and 42 ml at day 3 were collected per patient, respectively. The expression of EGF and TGF- β was significantly reduced from day 1 to day 3 (mean values of 162.20 ± 86.64 to 37.39 ± 46.19 pg/ml and 4254.94 ± 1437.97 to 1026.86 ± 571.68 pg/ml; p < 0.001 and p < 0.05, respectively). On the contrary, the expression of CXCL-12 and Osteopontin significantly increased from day 1 to day 3 (mean values of 15.82 ± 16.98 to 30.40 ± 11.24 ng/ml; and 479.08 ± 66.5 to 749.68 ± 93.71 pg/ml; p < 0.001 and p < 0.05, respectively) (Table 2). Linear regression (Table 3) showed that CXCL-2 levels significantly correlated with ENE and close surgical margins, both at day 1 and day 3 (p = 0.001 and 0.009 for ENE, 0.001 and 0.010 for close margins, respectively). At multivariate analysis, CXCL-2 levels in both timepoints were the only factor which retained significance in the prediction of close surgical margins (p = 0.028 and 0.025 for day 1 and day 3, respectively) (Table 4). Both CXCL-2 and Ostepontin assays were significantly correlated with ENE (p = 0.018 and 0.035 for day 1; 0.052 and 0.025 for day 3, respectively) whereas TGF- β expression was significant at day 1 only (p = 0.038) (Table 5).

Table 1.

patients characteristics.

Tumor site Grading TNM* Margins status ENE† Perineural invasion Angio-vascular invasion Lymph-vascular invasion
1 Oral Cavity G2 T3N0 Neg Neg Neg Neg Neg
2 Oral Cavity G1 T3N2c Neg Pos Pos Pos Pos
3 Oral Cavity G2 T3N1 Neg Pos Pos Neg Neg
4 Oropharynx G2 T4aN2b Neg Neg Neg Neg Neg
5 Oropharynx G2 T3N0 Neg Neg Neg Neg Neg
6 Oropharynx G2 T2N2a Neg Pos Neg Neg Neg
7 External auricle G3 T3N0 Neg Neg Neg Neg Neg
8 Oral Cavity G3 T3N0 Neg Neg Neg Neg Neg
9 Oral Cavity G2 T3N0 Neg Neg Neg Neg Neg
10 Larynx G2 T4aN0 Neg Neg Neg Neg Neg
11 Oral Cavity G2 T4bN0 Neg Neg Neg Neg Neg
12 Oral Cavity G3 T3N1 Neg Neg Neg Neg Neg
13 Oral Cavity G1 T2N0 Neg Neg Neg Neg Neg
14 Larynx G1 T4aN1 Neg Neg Neg Neg Neg
15 Oral Cavity G3 T2N0 Neg Neg Neg Neg Neg
16 Oral Cavity G2 T4aN1 Close Pos Neg Pos Pos
17 Oral Cavity G2 T2N1 Close Pos Pos Neg Neg
18 Oral Cavity G3 T3N1 Close Neg Neg Neg Neg
19 Larynx G1 T4aN0 Neg Neg Neg Neg Neg

*TNM: 7th edition of TNM staging system.

†ENE: Extranodal extension.

Table 2.

wound drainage fluids-derived molecular assays.


Day 1
Day 3
Mean ± SD* Mean ± SD*
CXCL-12 516.33 ± 422.51 815.49 ± 602.17
Osteopontin 15.82 ± 11.45 30.40 ± 11.24
VEGF 1666.54 ± 956.41 2210.47 ± 1190.53
EGF 162.20 ± 86.64 37.39 ± 46.19
TGF-β 4245.94 ± 1437.97 1026.86 ± 571.68

* SD: standard deviation.

Table 3.

results of linear regression with backward method for CXCL-12.

DAY 1 Coefficient CI* 95% p-value R2
Lymph node metastasis 395 133 656 0.008 0.91
Angio-vascular invasion −848 −1,292 −405 0.002
Homolateral lymph node density 12795 4,055 21,536 0.010
ENE 779 450 1108 0.001
Margins 1103 1604 601 0.001
Intercept 218 22 414 0.033
DAY 3 Coefficient CI* 95% p-value R2
ENE 757 227 1,287 0.009 0.59
Margins 816 1,402 230 0.010
Intercept 742 449 1034 0.000

*CI: Confidence Interval.

†R2: Coefficient of determination.

Bold numbers indicate significant values.

Table 4.

correlation between surgical margins and molecular assays.

Margins
Negative Close
N*=16
N*=3
Mean SD† Mean SD† p-value
CXCL-12 Day 1 121,47 ± 27,02 595,30 ± 420.21 0.028
Day 3 177,24 ± 27,44 935,16 ± 581,62 0.025
Osteopontin Day 1 17,38 ± 11,81 7,99 ± 5,29 0.173
Day 3 29,26 ± 11,95 36,45 ± 1,19 0.695
VEGF Day 1 1578,24 ± 905,63 2108,06 ± 1297,37 0.678
Day 3 2210.19 ± 1237,43 2211,99 ± 1127,80 0.911
EGF Day 1 167,65 ± 95,17 136,74 ± 1,12 0.450
Day 3 34,49 ± 41,69 51,91 ± 74,78 0.953
TGF-β Day 1 4209,92 ± 1540.51 4606,13 ± 0.00 0.752
Day 3 1069,20 ± 584,14 603,56 ± 0.00 0.527

* N: number of patients.

† SD: standard deviation

Bold numbers indicate significant values.

Table 5.

correlation between extranodal extension and molecular assays.

No Yes
N*=14
N*=5
Mean SD† Mean SD† p-value
CXCL-12 Day 1 404,25 ± 276,03 807,72 ± 619,00 0.018
Day 3 626,62 ± 447,14 1344,32 ± 712,41 0.052
Osteopontin Day 1 13,03 ± 10.17 23,05 ± 12,52 0.035
Day 3 28,23 ± 12,46 36,46 ± 1,07 0.025
VEGF Day 1 1724,31 ± 1038,31 1516,34 ± 783,77 0.961
Day 3 2363,43 ± 1255,33 1782,19 ± 972,35 0.405
EGF Day 1 163,16 ± 73,76 159,90 ± 122,69 0.673
Day 3 43,26 ± 50.79 22,15 ± 30.44 0.153
TGF-β Day 1 5047,52 ± 524,81 2843,19 ± 1489,57 0.038
Day 3 1082,97 ± 353,71 928,67 ± 904,96 0.186

* N: number of patients.

† SD: standard deviation.

Bold numbers indicate significant values.

4. Discussion

Currently, the lack of reliable biomarkers limits the possibility to tailor the best therapeutic approach on an individual basis in head and neck oncology. In this light, the identification of a panel of predictive biomarkers is one of the biggest challenges faced by the oncologic community. In the past few years, no conclusive evidence was generated on optimal prognostic stratification of HNSCC patients [15]. It has been reported that WDFs components can boost tumor cells proliferation in vitro [9]: thus, their exact determination could yield potential molecular targets for adjuvant therapies. In particular, Licitra et al. demonstrated that EGF-like molecules in WDFs obtained from surgically resected HNSCC can induce the proliferation of squamous cell carcinoma lines that appear to be triggered by EGFR expression and activation [11]. These preliminary evidences indicated that WDFs are enriched by several molecules (growth factors, cytokines) secreted by the host during the wound healing process in response to surgery-related tissue damage, ultimately enhancing residual tumor proliferation [9]. Similar studies were conducted on axillary drainage fluids of breast cancer: using reverse transcriptase (RT)-polymerase chain reaction (PCR), Greenberg et al. [16] demonstrated that a worse prognosis was correlated with the presence of Mucine 1 (MUC-1) while Zhang et al. [17] correlated carcinoembryonic antigen (CEA) and cytokeratin-19 (CK-19) with local relapse. In our study, we decided to analyse WDFs collected on postoperative days 1 and 3 in order to assess the changes between the early and rather bloody fluids versus late serous fluids. Based on the hypothesis that WDFs could be representative of a neoplastic microenvironment, in our explorative pilot feasibility study we tried to identify molecular biomarkers with a potential prognostic significance. Our study showed firstly the feasibility of testing molecular assay on postoperative WDFs, and secondarily highlighted how the collected data showed a potential significant association between an increased expression of CXCL-12 and Osteopontin with close surgical margins and ENE, whereas a decreased level of TGF- β was correlated with ENE, respectively. Both CXCL-12 and Osteopontin are known to be involved in tumor invasion process, metastatization and homing of cancer cells. Müller et al. demonstrated how CXCL-12 plays a critical role in determining the metastatic destination of tumor cells through the interaction with its tissue receptor CXCL-4 [18]. Furthermore, a study conducted by Standard et al. showed the contribution of Osteopontin in the process of cellular adhesion and metastatization [19], [20]. Acting through its signaling pathway, In normal cells TGF-β is able to stop cellular proliferation by blocking cell cycle at G1 stage, to induce differentiation, and promote apoptosis. In many cancer cells, the TGF-β signaling pathway is mutated, resulting in impaired tumor proliferation. In addition, the derangement of TGF-β pathway influences surrounding stromal cells, immune cells, endothelial and smooth-muscle cells, resulting in immunosuppression and angiogenesis, conferring higher cancer invasiveness. Finally, TGF-β also turns off the anti-cancer immune response converting effector T-cells into regulatory (suppressor) T-cells [21].

Our results highlighted that increased levels of CXCL-12 and Osteopontin, together with decreased levels of TGF-β, were correlated with circumstances in which the presence of a minimal residual disease is more likely. In fact, the detection of close margins could suggest the persistence of residual cancer cells at the primary site, while the presence of ENE could reflect the persistence of cancer cells despite a neck dissection. Notably, the presence of ENE and the status of surgical resection margins are the most important prognostic factors for the development of loco-regional and distant relapses. When compared with lymph node involvement without extracapsular spread, the identification of ENE leads to increased rates of loco-regional failure (28.9% vs 19.2% respectively) and of distant failure (24.4% vs 8.1%, respectively) [5]. Therefore, the high-risk feature of ENE translates into worse 5-year CSS and overall survival (OS) (48% 5-year CSS and 29% 5-year OS vs 66% and 51% rates without ENE, respectively) [22]. We hypothesize that the presence of a minimal residual disease might influence the post-surgical microenvironment, stimulating overexpression of CXCL-12 and Osteopontin, and decreasing the expression of TGF-β. These microenvironmental features could increase the aggressiveness of residual cancer cells, facilitating metastasis and invasion processes.

In a very preliminary way, we were able to describe a correlation between molecular WDFs assays and clinico-pathological characteristics of minimal residual disease. In the future, the implementation of WDFs analysis on top of histopathologic examination could be a useful tool to obtain a better prognostic stratification based on peri-operative biomarkers, allowing potentially for a more tailored adjuvant approach. Furthermore, in line with previous experiences, we confirmed the feasibility of testing molecular assays from WDFs, potentially paving the way for further reseach in this field. Clearly, caution is advised when interpreting our study results, in view of its inherent limitations. The small sample size, the relative heterogeneity of primary tumors and disease stage and the low number of adverse pathologic features limit the strength of our findings. Taking into account the aforementioned considerations, no correlation was intended to be drawn between the expression of molecular biomarkers in WDFs and clinical outcome, therefore no inferences can be suggested on the potential long-term prognostic impact of the study results.

The biomolecular analysis of WDFs could represent a new source of information on tumor microenvironment. The feasibility of testing different assays directly from the neck surgical field in the immediate post-operative setting was demonstrated. A potential correlation between molecular expression in drainage fluids and the presence of histologic features associated with the persistence of minimal residual disease could be also hypothesized. Further prospective studies are warranted to clarify the usefulness of WDFs for optimal prognostication of operated HNSCC patients.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  • 1.Siegel R., Naishadham D., Jemal A. Cancer statistics, 2013. CA Cancer J Clin. 2013;63(1):11–30. doi: 10.3322/caac.21166. [DOI] [PubMed] [Google Scholar]
  • 2.Jemal A., Bray F., Center M.M., Ferlay J., Ward E., Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61(2):69–90. doi: 10.3322/caac.20107. [DOI] [PubMed] [Google Scholar]
  • 3.Deganello A., Gitti G., Mannelli G., Meccariello G., Gallo O. Risk factors for multiple malignancies in the head and neck. Otolaryngol Head Neck Surg. 2013;149(1):105–111. doi: 10.1177/0194599813484273. [DOI] [PubMed] [Google Scholar]
  • 4.Chinn S.B., Myers J.N. Oral cavity carcinoma: current management, controversies, and future directions. J Clin Oncol. 2015;33(29):3269–3276. doi: 10.1200/JCO.2015.61.2929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Myers J.N., Greenberg J.S., Mo V., Roberts D. Extracapsular spread. A significant predictor of treatment failure in patients with squamous cell carcinoma of the tongue. Cancer. 2001;92(12):3030–3036. doi: 10.1002/1097-0142(20011215)92:12<3030::aid-cncr10148>3.0.co;2-p. [DOI] [PubMed] [Google Scholar]
  • 6.Abramovitch R., Marikovsky M., Meir G., Neeman M. Stimulation of tumour growth by wound-derived growth factors. Br J Cancer. 1999;79(9–10):1392–1398. doi: 10.1038/sj.bjc.6690223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Baker D.G., Masterson T.M., Pace R., Constable W.C., Wanebo H. The influence of the surgical wound on local tumor recurrence. Surgery. 1989;106(3):525–532. [PubMed] [Google Scholar]
  • 8.Leemans C.R., Snijders P.J.F., Brakenhoff R.H. The molecular landscape of head and neck cancer. Nat Rev Cancer. 2018;18(5):269–282. doi: 10.1038/nrc.2018.11. [DOI] [PubMed] [Google Scholar]
  • 9.Ekblad L., Lindgren G., Persson E., Kjellén E., Wennerberg J. Cell-line-specific stimulation of tumor cell aggressiveness by wound healing factors - a central role for STAT3. BMC Cancer. 2013;13:33. doi: 10.1186/1471-2407-13-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Grandis J.R., Melhem M.F., Gooding W.E., Day R., Holst V.A., Wagener M.M. Levels of TGF-alpha and EGFR protein in head and neck squamous cell carcinoma and patient survival. J Natl Cancer Inst. 1998;90(11):824–832. doi: 10.1093/jnci/90.11.824. [DOI] [PubMed] [Google Scholar]
  • 11.Licitra L., Perrone F., Tamborini E., Bertola L., Ghirelli C., Negri T. Role of EGFR family receptors in proliferation of squamous carcinoma cells induced by wound healing fluids of head and neck cancer patients. Ann Oncol. 2011;22(88):1886–1893. doi: 10.1093/annonc/mdq756. [DOI] [PubMed] [Google Scholar]
  • 12.Kryczek I., Wei S., Keller E., Liu R., Zou W. Stroma-derived factor (SDF-1/CXCL12) and human tumor pathogenesis. Am J Physiol Cell Physiol. 2007;292:C987–C995. doi: 10.1152/ajpcell.00406.2006. [DOI] [PubMed] [Google Scholar]
  • 13.Aderhold C., Grobschmidt G.M., Sauter A., Faber A., Hörmann K., Schultz J.D. Interleukin 4, interleukin 6 and osteopontin-serological markers of head and neck malignancy in primary diagnostics: a pilot study. Oncol Lett. 2014;8:1112–1118. doi: 10.3892/ol.2014.2312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Aggarwal S., Devaraja K., Sharma S.C., Das S.N. Expression of vascular endothelial growth factor (VEGF) in patients with oral squamous cell carcinoma and its clinical significance. Clin Chim Acta. 2014;436:35–40. doi: 10.1016/j.cca.2014.04.027. [DOI] [PubMed] [Google Scholar]
  • 15.Deganello A., Franchi A., Sardi I., Pignataro L., Leemans C.R., Gallo O. Genetic alterations between primary head and neck squamous cell carcinoma and recurrence after radiotherapy: recurrence, genetically related cancer, or second primary? Cancer. 2010;116(5):1291–1297. doi: 10.1002/cncr.24854. [DOI] [PubMed] [Google Scholar]
  • 16.Greenberg R., Barnea Y., Kaplan O., Kashtan H., Skornick Y. Detection of cancer cells in the axillary drainage using RT-PCR after operations for breast cancer. Breast. 2004;13(1):49–55. doi: 10.1016/j.breast.2003.10.006. [DOI] [PubMed] [Google Scholar]
  • 17.Zhang Y., Ma Q.Y., Dang C.X., Moureau-Zabotto M., Chen W.K. Quantitative molecular diagnosis of axillary drainage fluid for prediction of locoregional failure in patients with one to three positive axillary nodes after mastectomy without adjuvant radiotherapy. Int J Radiat Oncol Biol Phys. 2006;64(2):505–511. doi: 10.1016/j.ijrobp.2005.07.984. [DOI] [PubMed] [Google Scholar]
  • 18.Müller A., Homey B., Soto H., Ge N., Catron D., Buchanan M.E. Involvement of chemokine receptors in breast cancer metastasis. Nature. 2001;410(6824):50–56. doi: 10.1038/35065016. [DOI] [PubMed] [Google Scholar]
  • 19.Standal T., Borset M., Sundan A. Role of osteopontin in adhesion, migration, cell survival and bone remodeling. Exp Oncol. 2004;26(3):179–184. [PubMed] [Google Scholar]
  • 20.Wai P.Y., Kuo P.C. The role of Osteopontin in tumor metastasis. J Surg Res. 2004;121:228–241. doi: 10.1016/j.jss.2004.03.028. [DOI] [PubMed] [Google Scholar]
  • 21.Blobe G.C., Schiemann W.P., Lodish H.F. Role of transforming growth factor beta in human disease. N Engl J Med. 2000;342:1350–1358. doi: 10.1056/NEJM200005043421807. [DOI] [PubMed] [Google Scholar]
  • 22.van den Brekel M.W., Lodder W.L., Stel H.V., Bloemena E., Leemans C.R., van der Waal I. Observer variation in the histopathologic assessment of extranodal tumor spread in lymphnode metastases in the neck. Head Neck. 2012;34(6):840–845. doi: 10.1002/hed.21823. [DOI] [PubMed] [Google Scholar]

Articles from Clinical and Translational Radiation Oncology are provided here courtesy of Elsevier

RESOURCES