Disease Markers

Disease Markers / 2015 / Article

Research Article | Open Access

Volume 2015 |Article ID 171035 | 8 pages | https://doi.org/10.1155/2015/171035

Association of High Expression of Groβ with Clinical and Pathological Characteristics of Unfavorable Prognosis in Gastrointestinal Stromal Tumors

Academic Editor: Stamatios Theocharis
Received28 Jan 2015
Revised25 Mar 2015
Accepted27 Mar 2015
Published07 Apr 2015

Abstract

GROβ (CXCL2) is a chemokine produced by endotoxin-treated macrophages that mediates inflammation and tumor development. However, little is known about GROβ expression in gastrointestinal stromal tumors (GIST) or the relationship between GROβ expression and clinical attributes of GIST. GROβ expression was examined via immunohistochemical staining of 173 GIST samples using tissue microarray. The relationship between GROβ expression and relevant patient and tumor characteristics was assessed, using chi-square tests. Univariate and multivariate analysis was carried out using the Cox regression method. High GROβ cytoplasm staining was detected in 56 (32.4%) specimens; high GROβ nuclear staining was detected in 64 (37.0%) specimens. High GROβ cytoplasm staining was significantly associated with patients’ age () and tumor location (), while high GROβ nucleus staining was significantly associated with mitotic index (), tumor location (), and AFIP-Miettinen risk classification (). Kaplan-Meier survival curves showed GIST patients with low GROβ cytoplasm expression () and mitotic index < 6 per 50 HPFs () to have a more favorable prognosis. These findings indicate that GROβ expression correlates with malignant GIST phenotypes and could be an unfavorable prognostic marker in patients with GIST.

1. Introduction

Gastrointestinal stromal tumor (GIST) is an uncommon type of mesenchymal neoplasm primarily originating from the wall of the stomach, small intestine, and colon [1]. The mean annual incidence of GIST is 10–15 cases per million people, affecting mainly older people with a median age of 58 years [25]; however, GISTs have also been observed in the pediatric population [6]. GISTs can be recognized immunohistochemically by CD117, the 145 kDa transmembrane glycoprotein KIT, and CD34 proteins [79]. They are believed to arise from the interstitial cells of Cajal (ICC) or from interstitial mesenchymal precursor stem cells [10, 11]. GIST development is usually expansive and the primary metastatic paths are hematogenous and seeding metastasis, which makes GIST unique [12]. The clinical characteristics of GIST vary depending on the location, size, and aggressiveness of the tumor [13]. The most common symptoms are bleeding from the upper gastrointestinal tract and abdominal pain; however, many GIST patients remain asymptomatic and are discovered only incidentally [14].

For now, radical surgery is the predominant treatment for primary resectable GIST; however, GIST often recurs; nearly 50% of GIST patients with curative resections develop recurrence or metastasis. Neither classic cytotoxic chemotherapy nor radiotherapy is reliably efficacious in managing GIST; hence the prognosis of patients with unresectable or metastatic GIST is poor [15, 16]. Imatinib (IM), an oral 2-phenylaminopyrimidine derivative that selectively stabilizes certain tyrosine kinases in the inactivated form and prevents their constitutive autophosphorylation has revolutionized GIST therapy and significantly improved clinical outcomes of patients with advanced GIST [17, 18]. IM has become the standard treatment for metastatic or unresectable GIST, leading to objective responses or stable disease of ≥80% and median time to progression of up to 2 years [19]. However, the effectiveness of this novel targeted therapy can vary depending on tumor location, tumor size, histological risk stratification, and mutation status of the receptor tyrosine kinase [20]. Therefore, identifying biomarkers that can guide molecular-targeted therapy for GIST patients is important.

GROβ (CXCL2) belongs to the growth-related oncogene (GRO) subgroup of chemokines, which act as specific modulators in leukocyte migration to sites of inflammation and are also involved in the development and progression of carcinogenesis [21]. GROβ was first identified from cell culture supernatants of melanoma cells and believed to partially mediate inflammation [22]. A growing number of studies have focused on the relationship between GROβ and cancers. Compared with normal controls, Dong et al. reported that higher levels of GROβ could be detected in esophageal squamous cell carcinoma patients [23]. They also showed that GROβ and its downstream product early growth response protein (EGR1) were associated with cisplatin-induced apoptosis in a human esophageal squamous cell carcinoma cell line [24]. A study using a melanoma tumor model elucidated the function of GROβ in mediating tumor angiogenesis and found GROβ to be highly expressed in melanoma tumors. Transfection of GROβ into immortalized nononcogenic cells gave them the ability to form tumors [25, 26]. GROβ is reportedly upregulated in ERα-breast cancer patients and correlates with shorter relapse-free survival [27]. Although there are histological discrepancies of tumor origin in esophageal cancer, melanoma, and breast cancer, GROβ critically showed its potential oncogenic characteristics. However, the relationship between GROβ expression and clinicopathological features, especially prognosis, has been barely investigated.

In this present study, the GROβ protein expression was investigated in a number of GIST samples with tissue microarrays (TMAs), using immunohistochemistry (IHC) analysis. Moreover, the association between GROβ expression and the clinicopathological attributes was examined in GIST patients. Finally, the prognostic significance of GROβ protein expression level in GIST was evaluated.

2. Materials and Methods

2.1. Collection of Patient Samples

In this study, we enrolled 173 patients with GIST who had been hospitalized in the Nanjing First Hospital Affiliated to Nanjing Medical University and the Affiliated Hospital of Nantong University between 2003 and 2010. Diagnosis was based on histopathological appearance that was compatible with GIST and was confirmed by positive IHC staining for c-KIT. Original clinical data were collected, including patient age, tumor size, mitotic index, growth pattern, tumor location, tumor risk classification [28, 29], and 5-year and 10-year overall survival (OS). Potential risk classification for malignancy was evaluated using AFIP-Miettinen risk classification criteria [28, 29]. None of the patients received preoperative radiotherapy or chemotherapy or tyrosine-kinase inhibitor treatment. Each patient gave written informed consent for publication of this study and the protocol of this research was approved by the Human Research Ethics Committee of each hospital.

2.2. TMAs Construction and IHC Analysis

A total of 173 formalin-fixed, paraffin-embedded GIST tissues, collected between 2003 and 2010, were obtained from the Nanjing First Hospital Affiliated to Nanjing Medical University and Affiliated Hospital of Nantong University. Representative 2.0 mm tissue core samples from each GIST patient were subjected to TMA using Tissue Microarray System (Quick-Ray, UT06, UNITMA, Korea) as described [30] in the Department of Clinical Pathology, Nantong University Hospital, Jiangsu, China.

We performed IHC analysis to evaluate protein expression of GROβ in GIST. Briefly, paraffin tissue sections (4 μm) were deparaffinized in 100% xylene and rehydrated in a descending ethanol series according to standard protocols. The TMA sections were incubated for 1 hour with primary rabbit anti-GROβ polyclonal antibody (1.0 μg/mL, PeproTech, USA) in Tris-buffered saline (TBS) containing 1% bovine serum albumin (BSA), washed, and incubated with horseradish peroxidase-conjugated antibody using EnvisionTM kit (K5007, Dako, USA). As a negative control, phosphate-buffered saline (PBS) was employed instead of the primary antibody. GROβ immunostaining was scored by blinded observers according to intensity and percentage of GROβ+ cells. Staining intensity was scored according to four grades: 0, 1, 2, or 3, ranging from negative and weak to strong intensity. The percentage of GROβ+ cells was scored as follows: 0 for 0%, 1 for 1–33%, 2 for 34–66%, and 3 for 67–100% [31]. The product of the percentage and intensity scores was used as the final staining score as described previously.

The cutoff point for the GROβ expression score that was statistically significant in terms of OS was set using the X-tile software program (the Rimm Lab at Yale University; http://www.tissuearray.org/rimmlab/) as described elsewhere [32]. The degree of cytoplasmic GROβ staining was quantified using a two-level grading system, and staining scores were defined as follows: 0–4, low and none expression and 5–9, high expression. The level of nuclear GROβ+ staining was also divided into two grades and confirmed that low and none expression was 0–2 and high expression was 3–9.

2.3. Statistical Analysis

Relationships between GROβ expression and clinicopathological attributes were analyzed by tests. Survival rates were calculated by the Kaplan-Meier method and compared by log rank test. Univariate and multivariate analyses used a Cox proportional hazards regression model. All statistical analyses used SPSS 18.0 statistic software (SPSS Inc, Chicago, IL) and STATA 12.0 (StataCorp, College Station, TX, USA).

3. Results

3.1. Clinical Characteristics of GISTs

We enrolled 173 patients with GIST and median age 57.8 years (range: 38–81 years) in this study. Of them, 89 (51.4%) patients were ≤60 years of age while 69 (39.9%) were older; 42 (24.3%) had tumors <5 cm in diameter, 72 (41.6%) had tumors 5–10 cm in diameter, and 37 (21.4%) had tumors >10 cm in diameter. For mitotic index, 64 (37.0%) patients had 0–5/50 HPFs, and 80 (46.2%) had >6/50 HPFs. Of those patients, 136 (78.6%) had single nodules, while 19 (11.0%) had multiple nodules; 75 (43.4%) patients had tumors in the stomach, 61 (35.5%) in the intestines, and 22 (12.7%) in other organs. The AFIP-Miettinen risk classifications of 104 patients were very low to low risk and 39 were moderate to high risk.

3.2. Expression and Localization of GROβ in GISTs

We examined the expression of GROβ in GISTs TMAs using IHC analysis. Representative immunohistochemical GROβ staining patterns are shown in Figure 1. GROβ+ staining was predominantly localized to the cytoplasm and nucleus of tumor cells. All tissue samples were scored and categorized according to the cutoff point for GROβ expression determined using the X-tile software program. In tumor cells, high GROβ protein staining with the cytoplasm was detected in 56 of 173 (32.4%) GIST tissues; the other 117 samples showed low or no GROβ protein staining with the cytoplasm. Similarly, high GROβ protein staining with the nucleus was detected in 64 of 173 (37.0%) GIST tissues and the other 109 showed low or no GROβ protein staining with the nucleus. Moreover, high GROβ protein staining with the cytoplasm and nucleus was observed in 30 of 173 (17.3%) GIST cases while low or no GROβ protein staining with the cytoplasm and nucleus was observed in 84 of 173 (48.6%) GIST cases (Table 1).


Cytoplasm (%)Nucleus (%)Cytoplasm + nucleus (%)

High GROβ expression56 (32.4%)64 (37.0%)30 (17.3%)
Low or no GROβ expression117 (67.6%)109 (63.0%)84 (48.6%)

3.3. Relationship between GROβ Expression and Clinicopathological Attributes

The relationship between GROβ expression and the clinicopathological attributes of the 173 patients is shown in Table 2. High GROβ positive staining within the cytoplasm was significantly associated with patients’ age and tumor location . High GROβ positive staining within the nucleus was significantly associated with mitotic index , tumor location , and AFIP-Miettinen risk classification . In contrast, GROβ expression was not associated with any other clinical parameters, including tumor size and growth pattern (Table 2).


GroupsNumberCytoplasm staining of GROβNucleus staining of GROβ
Low/0 (%)High (%)Pearson Low/0 (%)High (%)Pearson

Total173117 (67.6)56 (32.4)109 (63.0)64 (37.0)
Age
60 years8952 (58.4)37 (41.6)4.1080.043*49 (55.1)40 (44.9)2.1850.139
60 years6951 (73.9)18 (26.1)46 (66.7)23 (33.3)
 Unknown1514 (93.3)1 (6.7)14 (93.3)1 (6.7)
Tumor size
5 cm4231 (73.8)11 (26.2)1.5290.46627 (64.3)15 (35.7)3.7980.150
 5–10 cm7246 (63.9)26 (36.1)46 (63.9)26 (36.1)
10 cm3723 (62.2)14 (37.8)17 (45.9)20 (54.1)
 Unknown2217 (77.3)5 (22.7)19 (86.4)3 (13.6)
Mitotic index (per 50 HPFs)
 0–56445 (70.3)19 (29.7)1.2880.25644 (68.7)20 (31.3)4.5020.034*
6 8049 (61.2)31 (38.8)41 (51.2)39 (48.8)
 Unknown2923 (79.3)6 (20.7)24 (82.8)5 (17.2)
Growth pattern
 Single nodule13689 (65.4)47 (34.6)0.0380.84585 (62.5)51 (37.5)1.5990.206
 Multiple 1912 (63.2)7 (36.8)9 (47.4)10 (52.6)
 Unknown1816 (88.9)2 (11.1)15 (83.3)3 (16.7)
Location
 Stomach7558 (77.2)17 (22.7)8.5880.014*52 (69.3)23 (30.7)6.0350.049*
 Intestine6133 (54.1)28 (45.9)36 (59.0)25 (41.0)
 Others2213 (59.1)9 (40.9)9 (40.9)13 (59.1)
 Unknown1513 (86.7)2 (13.2)12 (80.0)3 (20.0)
AFIP-Miettinen risk classification
 Very low-low risk10472 (69.2)32 (30.8)2.9520.08667 (64.4)37 (35.6)3.9270.048*
 Moderate-high risk3921 (53.8)18 (46.2)18 (46.1)21 (53.9)
 Unknown3024 (80.0)6 (20.0)24 (80.0)6 (20.0)

*; HPF: high-power field.
3.4. Survival Analysis

Univariate analyses showed that increased expression of GROβ in both cytoplasm and nucleus, tumor size, mitotic index, and AFIP-Miettinen risk classification was associated with the prognosis of GIST patients for 5-year and 10-year overall survival rates (all , Table 3). Multivariate analyses further indicated that cytoplasm expression of GROβ   and mitotic index were significantly correlated with 5-year and 10-year overall survival rates, respectively (Table 3). Kaplan-Meier survival curves showed that GIST patients with low GROβ cytoplasm expression and mitotic index >6 per 50 HPFs had more favorable prognosis (Figures 2(a) and 2(b)).


VariableYearsUnivariate analysisMultivariate analysis
HR value95% CIHR value95% CI

Cytoplasmic expression of GROβ
 High versus low102.5210.009*1.263–5.0332.4790.023*1.135–5.418
52.2900.033*1.071–4.8951.9270.1330.819–4.537
Nuclear expression of GROβ
 High versus low103.2800.001*1.611–6.6772.0820.0710.939–4.619
53.6370.002*1.631–8.1102.0390.1110.849–4.898
Age (years)
60 versus >60101.2150.5830.606–2.435
51.0800.8410.507–2.300
Tumor size (cm)
102.2650.002*1.360–3.7723.1820.0760.884–11.448
51.9920.015*1.145–3.4663.5590.0980.792-15.982
Mitotic index (per 50 HPFs)
 0–5 versus >6103.0380.001*1.869–4.9372.6950.0950.842–8.632
53.7370.001*2.117–6.5986.0860.026*1.240–29.869
Growth pattern
 Single versus multiple101.3810.4750.569–3.349
51.4720.4350.557–3.888
Tumor location
 Stomach versus intestine versus others101.3570.2180.835–2.203
51.3200.3060.776–2.245
AFIP-Miettinen risk classification
 Very low-low risk versus moderate-high risk102.3740.001*1.617–3.4843.0110.1200.751–12.064
52.3680.001*1.159–3.5532.3110.3150.450–11.865

*; HPF: high-power fields.

4. Discussion

Chemokines are classified by their amino acid composition, functional activity, and receptor binding properties. They include four subfamilies that are characterized by the first two of four conserved cysteine residues (i) C, (ii) CC, (iii) CXC, and (iv) CXXXC [26]. The CXC chemokine family is also composed of two subtypes, ELR+ and ELR, identified by a particular Glu-Leu-Arg (ELR) motif preceding the first cysteine residue [33]. CXC chemokines containing this ELR motif have been suggested to act as angiogenic factors that can stimulate endothelial cell migration, which could be regarded as tumor-promoting [34]. GROβ belongs to ELR+ subgroup of CXC-chemokines and several studies have reported the relationship between GROβ and human cancers [2327]. There are at least five critical roles in which CXC chemokines play in the tumor microenvironment: (a) modulating leukocyte infiltration ability, (b) modifying tumor immune response, (c) regulating angiogenesis, (d) acting as growth and survival factors, and (e) managing the movement of tumor cells [35]. Furthermore, CXC chemokine receptor 2 (CXCR2) is a member of the seven-transmembrane domain rhodopsin-like G protein-coupled receptors, which modulates functions of ELR+ CXC chemokines such as angiogenesis [36]. CXCR2 is well known for playing critical roles in cancer progression by modulating the cell cycle, apoptosis, and angiogenesis [37, 38]. Although CXCR2 has a high affinity for Interleukin-8 (IL-8) and GROα and a low affinity for GROβ, GROβ/CXCR2 loops may play an important role in the development and maintenance of certain type of human cancer, involving activation of NF-κB and other possible signaling pathways, including RANKL, AKT, STAT3, and MAPK [39, 40]. In our previous research, high expression of CXCR2 was detected in human laryngeal squamous cell carcinoma and was significantly associated with its poor prognosis [41]. Moreover, it is reported that GROβ enhances transcription of EGR-1, via the extracellular signal-regulated kinase 1/2 (ERK1/2) pathway. Wang et al. stated that GROβ signaling was mediated through ERK1/2 and that blocking GROβ substantially inhibited signaling through ERK1/2. GROβ contributed dramatically to the elevated transcription of EGR-1 in cultured cancer cells [40]. As EGR-1 is known to affect the expression of many genes involved in tumorigenesis, including IGF-II and VEGF [42, 43], the relationship between GROβ and EGR-1 may imply the significant function of GROβ in tumorigenesis. In all, although the exact role of GROβ in GIST is not well elucidated, it appears rationale to assume that the GROβ/CXCR2 loop may affect GIST pathophysiology. In this present study, the clinicopathological attributes of GROβ in GIST were explored, particularly the relationship between GROβ expression and GIST prognosis.

By IHC analysis, we found GROβ overexpression not only in cytoplasm of tumor cells, but also in their nuclei. Specifically, 32.4% of GIST patients exhibited cytoplasmic staining of GROβ while 37.0% exhibited nucleus staining of GROβ. Although it was reported that GROβ expression located in cytoplasm of cancer cells [40], we observed the nuclei mode of GROβ expression. In our previous research, similar scenario occurred in which positive staining for a proliferation inducing ligand (APRIL) was witnessed in both cytoplasm and nucleus of GIST cells [31]. Moreover, slight nuclei expression of GROβ was also reported in oral squamous cell carcinoma [22]. Hence the different location of GROβ expression is rational and may be attributed to differences in tumor types, antibodies used, or experimental methods. In this present research, high cytoplasmic GROβ staining was associated with the pathologic characteristics of patients’ age and tumor location, and high nuclear GROβ staining was associated with mitotic index, tumor location, and AFIP-Miettinen risk classification. Absence of control groups, such as adjacent noncancerous tissue, is a deficiency of our study. However, the localization of GIST makes it difficult to collect nontumor tissue samples. Therefore, our IHC analysis used negative expression of GROβ in whole TMA section as an internal control which was used to analyze and compare with other samples as having high or low GROβ expression.

Univariate analysis indicated that low GROβ expression (both cytoplasmic staining and nuclear staining) correlated with favorable prognosis for GIST patients, as determined by both 5-year and 10-year survival rates. Multivariate analysis further confirmed that high GROβ cytoplasmic staining and small mitotic index independently predicted poor prognosis in GIST patients (for 10-year and 5-year overall survival, resp.). These results are consistent with findings that showed that upregulated GROβ expression was detected in patients with breast cancer and indicated as poor prognosis [27].

Interestingly, other studies, inconsistently with ours, have reported that GROβ expression was downregulated in cancer and GROβ expression inhibited tumor formation [44, 45]. These conflicting results may be attributed to differences in tumor type, pathological samples, antibodies, or experimental methods. Further studies of the mechanisms of GROβ activity in tumorigenesis are necessary and of great interest.

To our knowledge, it is the first study to analyze GROβ expression in view of risk criteria and clinical behavior in GIST. Our results showed that high GROβ expression correlates with an aggressive malignant phenotype of GIST and GROβ could be identified as a novel prognostic marker for GIST.

Conflict of Interests

The authors report no conflict of interests in this work.

Acknowledgments

This study was supported by the postdoctoral study (201340-9) and translational medicine research (TDFzh2014011) from the Affiliated Hospital of Nantong University, Jiangsu, China.

References

  1. A. Italiano, C.-L. Chen, Y.-S. Sung et al., “SDHA loss of function mutations in a subset of young adult wild-type gastrointestinal stromal tumors,” BMC Cancer, vol. 12, article 408, 2012. View at: Publisher Site | Google Scholar
  2. G. Monges, S. Bisot-Locard, J.-Y. Blay et al., “The estimated incidence of gastrointestinal stromal tumors in France. Results of PROGIST study conducted among pathologists,” Bulletin du Cancer, vol. 97, no. 3, pp. E16–E22, 2010. View at: Publisher Site | Google Scholar
  3. P. A. Cassier, F. Ducimetière, A. Lurkin et al., “A prospective epidemiological study of new incident GISTs during two consecutive years in Rhne Alpes region: incidence and molecular distribution of GIST in a European region,” British Journal of Cancer, vol. 103, no. 2, pp. 165–170, 2010. View at: Publisher Site | Google Scholar
  4. M. Miettinen and J. Lasota, “Gastrointestinal stromal tumors (GISTs): definition, occurrence, pathology, differential diagnosis and molecular genetics,” Polish Journal of Pathology, vol. 54, no. 1, pp. 3–24, 2003. View at: Google Scholar
  5. M. Miettinen, L. H. Sobin, and J. Lasota, “Gastrointestinal stromal tumors of the stomach: a clinicopathologic, immunohistochemical, and molecular genetic study of 1765 cases with long-term follow-up,” The American Journal of Surgical Pathology, vol. 29, no. 1, pp. 52–68, 2005. View at: Publisher Site | Google Scholar
  6. M. G. Belinsky, L. Rink, and M. von Mehren, “Succinate dehydrogenase deficiency in pediatric and adult gastrointestinal stromal tumors,” Frontiers in Oncology, vol. 3, article 117, 2013. View at: Publisher Site | Google Scholar
  7. C. D. M. Fletcher, J. J. Berman, C. Corless et al., “Diagnosis of gastrointestinal stromal tumors: a consensus approach,” Human Pathology, vol. 33, no. 5, pp. 459–465, 2002. View at: Publisher Site | Google Scholar
  8. N. Machairiotis, I. Kougioumtzi, P. Zarogoulidis, A. Stylianaki, K. Tsimogiannis, and N. Katsikogiannis, “Gastrointestinal stromal tumor mesenchymal neoplasms: the offspring that choose the wrong path,” Journal of Multidisciplinary Healthcare, vol. 6, pp. 127–131, 2013. View at: Publisher Site | Google Scholar
  9. P. Chi, Y. Chen, L. Zhang et al., “ETV1 is a lineage survival factor that cooperates with KIT in gastrointestinal stromal tumours,” Nature, vol. 467, no. 7317, pp. 849–853, 2010. View at: Publisher Site | Google Scholar
  10. L. Rink, M. F. Ochs, Y. Zhou, M. von Mehren, and A. K. Godwin, “ZNF-mediated resistance to imatinib mesylate in gastrointestinal stromal tumor,” PLoS ONE, vol. 8, no. 1, Article ID e54477, 2013. View at: Publisher Site | Google Scholar
  11. M. Miettinen, L. H. Sobin, and J. Lasota, “Gastrointestinal stromal tumors presenting as omental masses—a clinicopathologic analysis of 95 cases,” The American Journal of Surgical Pathology, vol. 33, no. 9, pp. 1267–1275, 2009. View at: Publisher Site | Google Scholar
  12. M. Pera, M. Iglesias, S. Puig, L. Martínez-Avilés, and B. Bellosillo, “A sporadic multiple gastrointestinal stromal tumor with unique clinical and molecular features,” Human Pathology, vol. 42, no. 8, pp. 1194–1199, 2011. View at: Publisher Site | Google Scholar
  13. G. Lamba, R. Gupta, B. Lee, S. Ambrale, and D. Liu, “Current management and prognostic features for gastrointestinal stromal tumor (GIST),” Experimental Hematology & Oncology, vol. 1, article 14, 2012. View at: Publisher Site | Google Scholar
  14. K. de Vogelaere, A. Hoorens, P. Haentjens, and G. Delvaux, “Laparoscopic versus open resection of gastrointestinal stromal tumors of the stomach,” Surgical Endoscopy and Other Interventional Techniques, vol. 27, no. 5, pp. 1546–1554, 2013. View at: Publisher Site | Google Scholar
  15. P. Rutkowski, J. Przybył, and M. Zdzienicki, “Extended adjuvant therapy with imatinib in patients with gastrointestinal stromal tumors: recommendations for patient selection, risk assessment, and molecular response monitoring,” Molecular Diagnosis and Therapy, vol. 17, no. 1, pp. 9–19, 2013. View at: Publisher Site | Google Scholar
  16. C. L. Corless, K. V. Ballman, C. R. Antonescu et al., “Pathologic and molecular features correlate with long-term outcome after adjuvant therapy of resected primary GI stromal tumor: the ACOSOG Z9001 trial,” Journal of Clinical Oncology, vol. 32, no. 15, pp. 1563–1570, 2014. View at: Publisher Site | Google Scholar
  17. X.-W. Hou, C.-G. Bai, X.-H. Liu et al., “Expression of stem cell factor in gastrointestinal stromal tumors: implications for proliferation and imatinib resistance,” Oncology Letters, vol. 5, no. 2, pp. 552–558, 2013. View at: Publisher Site | Google Scholar
  18. J. Perkins, P. Boland, S. J. Cohen et al., “Successful imatinib therapy for neuroendocrine carcinoma with activating Kit mutation: a case study,” Journal of the National Comprehensive Cancer Network, vol. 12, no. 6, pp. 847–852, 2014. View at: Google Scholar
  19. C. D. Blanke, G. D. Demetri, M. von Mehren et al., “Long-term results from a randomized phase II trial of standard- versus higher-dose imatinib mesylate for patients with unresectable or metastatic gastrointestinal stromal tumors expressing KIT,” Journal of Clinical Oncology, vol. 26, no. 4, pp. 620–625, 2008. View at: Publisher Site | Google Scholar
  20. H. Zhu, J. Lu, X. Wang et al., “Upregulated ZO-1 correlates with favorable survival of gastrointestinal stromal tumor,” Medical Oncology, vol. 30, no. 3, article 631, 2013. View at: Publisher Site | Google Scholar
  21. D. Doll, L. Keller, M. Maak et al., “Differential expression of the chemokines GRO-2, GRO-3, and interleukin-8 in colon cancer and their impact on metastatic disease and survival,” International Journal of Colorectal Disease, vol. 25, no. 5, pp. 573–581, 2010. View at: Publisher Site | Google Scholar
  22. E. Oue, J.-W. Lee, K. Sakamoto et al., “CXCL2 synthesized by oral squamous cell carcinoma is involved in cancer-associated bone destruction,” Biochemical and Biophysical Research Communications, vol. 424, no. 3, pp. 456–461, 2012. View at: Publisher Site | Google Scholar
  23. Q.-M. Dong, J.-Q. Zhang, Q. Li, J. C. Bracher, D. T. Hendricks, and X.-H. Zhao, “Clinical significance of serum expression of GROβ in esophageal squamous cell carcinoma,” World Journal of Gastroenterology, vol. 17, no. 21, pp. 2658–2662, 2011. View at: Publisher Site | Google Scholar
  24. Q. Dong, J. Zhang, D. T. Hendricks, and X. Zhao, “GROβ and its downstream effector EGR1 regulate cisplatin-induced apoptosis in WHCO1 cells,” Oncology Reports, vol. 25, no. 4, pp. 1031–1037, 2011. View at: Publisher Site | Google Scholar
  25. C. Gabellini, D. Trisciuoglio, M. Desideri et al., “Functional activity of CXCL8 receptors, CXCR1 and CXCR2, on human malignant melanoma progression,” European Journal of Cancer, vol. 45, no. 14, pp. 2618–2627, 2009. View at: Publisher Site | Google Scholar
  26. A. M. Baird, S. G. Gray, and K. J. O'Byrne, “Epigenetics underpinning the regulation of the CXC (ELR+) chemokines in Non-Small Cell Lung Cancer,” PLoS ONE, vol. 6, no. 1, Article ID e14593, 2011. View at: Publisher Site | Google Scholar
  27. I. Bièche, C. Chavey, C. Andrieu et al., “CXC chemokines located in the 4q21 region are up-regulated in breast cancer,” Endocrine-Related Cancer, vol. 14, no. 4, pp. 1039–1052, 2007. View at: Publisher Site | Google Scholar
  28. M. Miettinen and J. Lasota, Gastrointestinal Stromal Tumors: Pathology and Prognosis at Different Sites, Elsevier, 2006.
  29. M. Miettinen and J. Lasota, “Gastrointestinal stromal tumors: review on morphology, molecular pathology, prognosis, and differential diagnosis,” Archives of Pathology and Laboratory Medicine, vol. 130, no. 10, pp. 1466–1478, 2006. View at: Google Scholar
  30. W. Wang, Q. Ni, H. Wang, S. Zhang, and H. Zhu, “Prognostic value of Rab27B nuclear expression in gastrointestinal stromal tumors,” Disease Markers, vol. 2014, Article ID 942181, 7 pages, 2014. View at: Publisher Site | Google Scholar
  31. H. Xian, H. Zhang, H. Zhu et al., “High APRIL expression correlates with unfavourable survival of gastrointestinal stromal tumour,” Pathology, vol. 46, pp. 617–622, 2014. View at: Publisher Site | Google Scholar
  32. R. Sun, X. Wang, H. Zhu et al., “Prognostic value of LAMP3 and TP53 overexpression in benign and malignant gastrointestinal tissues,” Oncotarget, vol. 5, pp. 12398–12409, 2014. View at: Google Scholar
  33. A. Zlotnik and O. Yoshie, “Chemokines: a new classification system and their role in immunity,” Immunity, vol. 12, no. 2, pp. 121–127, 2000. View at: Publisher Site | Google Scholar
  34. J. Vandercappellen, J. van Damme, and S. Struyf, “The role of CXC chemokines and their receptors in cancer,” Cancer Letters, vol. 267, no. 2, pp. 226–244, 2008. View at: Publisher Site | Google Scholar
  35. P. M. Murphy, “Chemokines and the molecular basis of cancer metastasis,” The New England Journal of Medicine, vol. 345, no. 11, pp. 833–835, 2001. View at: Publisher Site | Google Scholar
  36. Y. S. Lee, I. Choi, Y. Ning et al., “Interleukin-8 and its receptor CXCR2 in the tumour microenvironment promote colon cancer growth, progression and metastasis,” British Journal of Cancer, vol. 106, no. 11, pp. 1833–1841, 2012. View at: Publisher Site | Google Scholar
  37. P. J. Maxwell, R. Gallagher, A. Seaton et al., “HIF-1 and NF-κB-mediated upregulation of CXCR1 and CXCR2 expression promotes cell survival in hypoxic prostate cancer cells,” Oncogene, vol. 26, no. 52, pp. 7333–7345, 2007. View at: Publisher Site | Google Scholar
  38. M. Zhao, A. Wimmer, K. Trieu, R. G. Discipio, and I. U. Schraufstatter, “Arrestin regulates MAPK activation and prevents NADPH oxidase-dependent death of cells expressing CXCR2,” The Journal of Biological Chemistry, vol. 279, no. 47, pp. 49259–49267, 2004. View at: Publisher Site | Google Scholar
  39. G. Yang, D. G. Rosen, G. Liu et al., “CXCR2 promotes ovarian cancer growth through dysregulated cell cycle, diminished apoptosis, and enhanced angiogenesis,” Clinical Cancer Research, vol. 16, no. 15, pp. 3875–3886, 2010. View at: Publisher Site | Google Scholar
  40. B. Wang, D. T. Hendricks, F. Wamunyokoli, and M. I. Parker, “A growth-related oncogene/CXC chemokine receptor 2 autocrine loop contributes to cellular proliferation in esophageal cancer,” Cancer Research, vol. 66, no. 6, pp. 3071–3077, 2006. View at: Publisher Site | Google Scholar
  41. L. Han, B. Jiang, H. Wu et al., “High expression of CXCR2 is associated with tumorigenesis, progression, and prognosis of laryngeal squamous cell carcinoma,” Medical Oncology, vol. 29, no. 4, pp. 2466–2472, 2012. View at: Publisher Site | Google Scholar
  42. S.-K. Bae, M.-H. Bae, M.-Y. Ahn et al., “Egr-1 mediates transcriptional activation of IGF-II gene in response to hypoxia,” Cancer Research, vol. 59, no. 23, pp. 5989–5994, 1999. View at: Google Scholar
  43. S. F. Yan, T. Fujita, J. Lu et al., “Egr-1, a master switch coordinating upregulation of divergent gene families underlying ischemic stress,” Nature Medicine, vol. 6, no. 12, pp. 1355–1361, 2000. View at: Publisher Site | Google Scholar
  44. Y. Cao, C. Chen, J. A. Weatherbee, M. Tsang, and J. Folkman, “Gro-beta, a-CXC-chemokine, is an angiogenesis inhibitor that suppresses the growth of Lewis lung carcinoma in mice,” The Journal of Experimental Medicine, vol. 182, no. 6, pp. 2069–2077, 1995. View at: Publisher Site | Google Scholar
  45. V. Gupta, G. Yeo, H. Kawakubo et al., “Mullerian-inhibiting substance induces Gro-β expression in breast cancer cells through a nuclear factor-κB-dependent and Smad1-dependent mechanism,” Cancer Research, vol. 67, no. 6, pp. 2747–2756, 2007. View at: Publisher Site | Google Scholar

Copyright © 2015 Hui Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

599 Views | 258 Downloads | 2 Citations
 PDF  Download Citation  Citation
 Download other formatsMore
 Order printed copiesOrder