Sphingosine kinase 1 (SK1) is a key regulator of the dynamic ceramide/sphingosine 1-phosphate rheostat balance and important in the pathological cancer genesis, progression, and metastasis processes. Many studies have demonstrated SK1 overexpressed in various cancers, but no meta-analysis has evaluated the relationship between SK1 and various cancers.
We retrieved relevant articles from the PubMed, EBSCO, ISI, and OVID databases. A pooled odds ratio (OR) was used to assess the associations between SK1 expression and cancer; hazard ratios (HR) were used for 5-year and overall survival. Review Manager 5.0 was used for the meta-analysis, and publication bias was evaluated with STATA 12.0 (Egger’s test).
Thirty-four eligible studies (n = 4,673 patients) were identified. SK1 positivity and high expression were significantly different between cancer, non-cancer, and benign tissues. SK1 mRNA and protein expression levels were elevated in the cancer tissues, compared with the normal tissues. SK1 positivity rates differed between various cancer types (lowest [27.3%] in estrogen receptor-positive breast cancer and highest [82.2%] in tongue squamous cell carcinoma). SK1 positivity and high expression were associated with 5-year survival; the HR was 1.86 (95% confidence interval [CI], 1.18–2.94) for breast cancer, 1.58 (1.08–2.31) for gastric cancer, and 2.68 (2.10–3.44) for other cancers; the total cancer HR was 2.21 (95% CI, 1.83–2.67; P < 0.00001). The overall survival HRs were 2.09 (95% CI, 1.35–3.22), 1.56 (1.08–2.25), and 2.62 (2.05–3.35) in breast, gastric, and other cancers, respectively. The total effect HR was 2.21 (95% CI, 1.83–2.66; P < 0.00001).
SK1 positivity and high expression were significantly associated with cancer and a shorter 5-year and overall survival. SK1 positivity rates vary tremendously among the cancer types. It is necessary to further explore whether SK1 might be a predictive biomarker of outcomes in cancer patients.
Citation: Zhang Y, Wang Y, Wan Z, Liu S, Cao Y, Zeng Z (2014) Sphingosine Kinase 1 and Cancer: A Systematic Review and Meta-Analysis. PLoS ONE 9(2): e90362. https://doi.org/10.1371/journal.pone.0090362
Editor: Masaru Katoh, National Cancer Center, Japan
Received: December 6, 2013; Accepted: January 29, 2014; Published: February 27, 2014
Copyright: © 2014 Zhang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The authors have no support or funding to report.
Competing interests: The authors have declared that no competing interests exist.
Sphingolipids are structural and functional components of biological membranes , and their metabolites, including sphinganine, ceramide, sphingosine, and sphingosine 1-phosphate (S1P), have emerged as critical players in a number of fundamental biological processes. For example, these metabolites act as bioactive mediators in various cellular processes, including survival, proliferation, differentiation, and apoptosis , . Moreover, sphingolipids are known to be involved in almost every type of disease . They are reported to have regulation effect n cancer pathogenesis, progression, angiogenesis, proliferation, migration, inflammation, drug resistance, and cell death (apoptosis, necrosis, autophagy, and anoikis) , . Sphingosine kinases (SphKs), including sphingosine kinase type 1 (SK1/SphK1) and sphingosine kinase type 2 (SK2/SphK2), catalyze the phosphorylation of sphingosine to S1P and are crucial regulators of the balance among ceramides, sphingosine, and S1P . Unlike SK2, SK1 does not contain any transmembrane domains. In addition, their tissue distributions differ in human beings, as well as in animals –, and their opposing functions in sphingolipid metabolism have also been reported . Specifically, SK1 has become a cancer research hotspot in cancer and has recently been considered a bona fide oncogene .
Much evidence has shown that SK1 can be detected in tumor tissues; notably, SK1 was reported to be overexpressed in most studies –. Immunohistochemistry (IHC), polymerase chain reaction (PCR), and western blotting (WB) are usually used in such studies. The data showed that relative to paired non-cancer tissues, elevated SK1 expression ranges from 2- to 8-fold at both the mRNA and protein levels in some cancers, including breast, lung, ovarian, stomach, and colon cancers. Meanwhile, some studies found that SK1 overexpression might be related to cancer metastasis, reduced survival time, and poor prognosis , . Therefore, SK1 was suggested as a novel biomarker of clinical prognosis in some cancers . However, no systematic reviews or meta-analyses have discussed the role and clinical significance of SK1 in cancer. Therefore, we performed a meta-analysis to investigate the relationship between SK1 expression and various cancers and the possibility that SK1 might be used as a cancer biomarker.
Materials and Methods
Search strategy and study selection
Electronic databases, including the English PubMed, EBSCO, ISI, OVID, ACS, and Cochrane Library databases and the Chinese VIP, Wan Fang, and China National Knowledge Infrastructure (CNKI) databases, and Google Scholar were searched for publications from inception to September 2013. The search keywords and terms were “sphingosine kinase type 1” OR “sphingosine kinase 1” OR “Sphk1” OR “Sphk-1” OR “SK1” OR “SK-1” OR “SK-I” AND “cancer” OR “tumor” OR “neoplasm” OR “carcinoma.” Only Chinese- and English-language papers were included. All articles were imported into EndNote X6 software (Thomson Reuters Corporation, New York, NY, USA) to eliminate duplicates.
All titles and abstracts were read by 2 independent reviewers (Yun ZHANG and Yan WANG) to select eligible studies. Next, the full texts were independently read and carefully checked to exclude ineligible studies. Disagreements were resolved via consensus.
Study selection criteria
The inclusion criteria for primary studies were as follows: (1) human studies; (2) cancer types and detection method were clearly described; and (3) SK1 expression was reported.
The exclusion criteria for primary studies can be summarized as follows: (1) reviews, abstracts, and case reports; (2) animal or cell studies; (3) no description of detection methods; (4) a total sample size < 10; (5) a lack of SK1 expression data or the IHC, PCR, and WB results were only reported in figures; (6) the hazard ratios (HR) and 95% confidence intervals (CI) of survival analyses were not reported or could not be calculated from other data; and all articles with the data from the same patient population, except for the most recent report.
A data collection form was designed before extracting data. The final included articles were assessed independently by 2 reviewers (Yun ZHANG and Yan WANG). The extracted data included the first author, year of publication, and country; cancer types, specimen types, and detection methods; the number of patients in the experimental and control groups; the number of cancer, adjacent non-cancer, and benign samples and the number of SK1-positive (high expression or a score ≥ ++) and negative patients (low expression or a score of – or +); the mRNA/protein expression levels in cancer and non-cancer tissues; the 5-year survival, overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS) outcomes and the follow-up duration. Among these, if the HR was not originally reported, we calculated or extracted this data according to the methods described by Tierney (2007) or Parmar (1998) , .
The Review Manager software (version 5.02 for Windows; The Cochrane Collaboration, 2009) was used for the meta-analysis, and STATA 12.0 software (StataCorp, College Station, TX, USA) was used to analyze the publication bias (Egger’s test). According to the Review Manager Handbook, for dichotomous data such as the number of patients with SK1 positivity/high expression in cancer and non-cancer tissues, the odds ratios (OR) and 95% CI were combined to provide effective values. For continuous data such as SK1 activity, the standardized mean difference (SMD) and 95% CI were used to estimate effective values. For the association between SK1 and OS, 5-year survival was described as a HR and 95% CI. Statistical heterogeneity was examined with the Cochrane Q-test (significant at P < 0.1) and I2 value. When P < 0.1 or I2 < 50%, a fixed-effect model was used; otherwise, a random-effect model was used. If necessary, a sensitive analysis was also performed to evaluate the influences of individual studies on the final effect. When some studies were omitted or subgroup analyses were adopted and if no decreases in heterogeneity were observed, the qualitative systematic review method was used to describe the results. All P values were 2-sided, and P < 0.05 was considered significant.
Search results and characteristics
According to the inclusion criteria, 34 studies, including 11 Chinese articles and 23 English articles, were eligible for the final meta-analysis (figure 1) –, –. The studies were published between 2005 and 2013. This analysis included 4,673 patients, 19 types of cancer from 7 countries, and 5 types of detection methods. The follow-up duration ranged from 30 months to 12 years. Seven studies were about breast cancer; 6 studies, colon cancer; and 4 studies, gastric cancer. The characteristics of the included studies are shown in Table 1.
SK1 expression in cancer and non-cancer tissues
Initially, we assessed the association between SK1 positivity/high expression and cancer. Thirteen studies in which SK1 expression was detected by IHC were included in this meta-analysis. Statistical heterogeneities were found in the subgroup analyses, except for that of adjacent non-cancer tissues versus benign tissues; therefore, a random-effect model was applied. The results demonstrated that significant differences in SK1 positivity/high expression rates were found between cancer and non-cancer tissues, cancer and adjacent non-cancer tissues, cancer and benign tissues, and adjacent non-cancer and benign tissues (all P < 0.0001); the respective OR (95% CI) were 11.86 (6.37–22.08), 6.66 (3.47–12.79), 11.94 (6.65–21.46), and 2.68 (1.70–4.20). SK1 positivity/high expression is considered to associate with cancer (Figure 2). To prove the robust results regarding this association between SK1 expression and cancer, a sensitivity analysis was conducted by omitting some of the obviously different studies until an acceptable heterogeneity level was reached (Table 2). In the absence of significant heterogeneity (P > 0.1, I2 < 50%) among the studies, a fixed model was adopted and the association was still observed. Therefore, we think that our results were stable and credible.
A subgroup analysis and random-effect model were used. The squares and horizontal lines correspond to the study-specific OR and 95% CI. The diamond represents the summary OR and 95% CI.
SK1 mRNA and protein expression level changes in cancers
Seventeen studies reported SK1 mRNA expression levels, and 12 studies reported SK1 protein expression levels. The sample sizes in these studies ranged from 4 to 95 cases. All outcomes indicated an increasing trend of SK1 mRNA and protein expression levels in cancer tissues. When the SK1 expression levels in normal tissues were assumed to be 1, the mRNA level increases ranged from 1.48-fold in uterine cancer to 7.86-fold in salivary gland carcinoma, and the protein level increases ranged from 1.45-fold in non-Hodgkin’s lymphoma to 8.88-fold in gastric cancer (Figure 3).
SK1 expression levels in all normal tissues are assumed to be 1. Histograms symbolize the relative levels of SK1 protein or mRNA expression in different cancers.
SK1 positivity/high expression rates in cancers
Different cancer types present different rates of SK1 positivity/high expression. We calculated the SK1 positivity/high expression rates in various cancers, and these results are shown in Table 3. The SK1 positivity/high expression rate in estrogen receptor-negative (ER−) breast cancers (58.7%) was higher than that in ER-positive (ER+) breast cancers (27.3%). The average positive rate in breast cancers was 31.1%. The lowest positive rate was found in breast cancer with unknown ER expression status, whereas the highest positive rate (82.2%) was found in tongue squamous cell carcinoma (TSCC; Table 3). Because of the small sample size of the TSCC study (n = 45), selection or other biases would unavoidably affect the result.
SK1 enzyme activity in cancer tissues
Four studies that measured SK1 enzyme activity were evaluated. One was excluded because the SK1 activity was measured in the blood . A forest plot showed that the SMD (95% CI) were 3.27 (0.38–6.16), with P = 0.03 (Figure 4). One study by Leyre (2012) reported an obvious excess of SK1 enzyme activity levels, compared with the other 2 studies ; the heterogeneity was so remarkable (P <0.00001, I2 = 96%) that it could not be altered by omitting any single study from the sensitivity analysis; therefore, we cannot draw a firm conclusion regarding a relationship between SK1 activity and cancer.
A random-effect model was used. The pooled SMD is symbolized by a solid diamond at the bottom of the forest plot, the width of which represents the 95% CI.
Five-year and overall survival rates and SK1 expression in cancer tissues
The HR values, log[HR], and SE[log(HR)] were either obtained directly from study data or extracted from survival curves, according to the methods described by Parmar or Tierney , . Generic inverse variance (IV) and subgroup analyses were adopted according to the types of cancer. As no significant heterogeneity was found, a fixed-effect model was used to perform the meta-analysis. The 5-year survival meta-analysis showed that in cancer patients, the HR of SK1 positivity/high expression was 1.86 (95% CI, 1.18–2.94) for breast cancer (P = 0.008), 1.58 (1.08–2.31) for gastric cancer (P = 0.02), and 2.68 (2.10–3.44) for other cancers (P < 0.0001). The total HR among all the cancers was 2.21 (95% CI, 1.83–2.67; P < 0.00001). SK1 positivity/high expression is thought to associate with a shorter 5-year survival duration in cancer patients (Figure 5). For overall survival, the HR was 2.09 (95% CI, 1.35–3.22) for breast cancer (P = 0.0009), 1.56 (1.08–2.25) for gastric cancer (P = 0.02), and 2.62 (2.05–3.35) for other cancers (P < 0.00001). The total effect HR was 2.21 (95% CI, 1.83–2.66; P <0.00001). These data imply that SK1 positivity/high expression is related to overall survival in various cancers (Figure 6).
A subgroup analysis for different cancers and fixed-effect model were used. The squares and horizontal lines correspond to the study-specific HR and 95% CI. The areas of the squares reflect the weights (inverse of the variance). The diamond represents the summary HR and 95% CI.
A subgroup analysis for different cancers and fixed-effect model were used. The squares and horizontal lines correspond to the study-specific HR and 95% CI. The areas of the squares reflect the weights (inverse of the variance). The diamond represents the summary HR and 95% CI.
Egger’s test was performed to assess the publication bias in the literature. In a subgroup analysis of SK1 expression in cancer, adjacent non-cancer, and benign tissues, publication bias was found for cancer versus adjacent non-cancer (P = 0.009) and cancer versus benign tissues (P = 0.04); the funnel plot was not symmetrical. No publication bias was found for cancer versus non-cancer (P = 0.059) and adjacent non-cancer versus benign tissues (P = 0.176; Figure 7). This might be a limitation of our analysis because studies with null findings, especially those with small sample sizes, were less likely to be published. In addition, different test methods were used in these studies. No publication bias was found with regard to 5-year (P = 0.754) and overall survival (P = 0.175; Figures 8 and 9).
Begg’s linear regression test was used, and P = 0.059, 0.009, 0.040, and 0.176 in a subgroup analysis of SK1 positivity and high expression in cancer and non-cancer tissues, respectively (Figure 2).
Begg’s linear regression test was used; P = 0.754.
Begg’s linear regression test was used; P = 0.175.
The lipid kinase SK1 is expressed extensively in human beings, mice, yeast, and plants and plays an important role in regulating the dynamic balance of the ceramide/S1P rheostat. SK1 overexpression or increased activity leads to S1P accumulation that in turn contributes to prosurvival and anti-apoptotic mechanisms, as well as cancer genesis, metastasis, and drug-resistance. In contrast, ceramide accumulation leads to pro-apoptotic, autophagic, and anti-survival effects. High SK1 expression was detected in many cancers, including those of the lung, breast, ovary, stomach, and kidney.
IHC of formalin-fixed, paraffin-embedded samples is among the most commonly used methods to detect SK1 expression. We evaluated the association of SK1 and different cancers and non-cancer tissues according to the IHC outcomes. In the subgroup and total effect analyses, SK1 positivity/high expression was significantly increased in cancer tissues, compared with non-cancer (adjacent and/or benign) tissues. The OR between cancer and adjacent tissues (2.68) was less than that between cancer and benign tissues (11.94). This finding demonstrates that the SK1 expression level gradually increased in benign, adjacent, and cancer tissues. This might indicate that SK1 expression is associated with degrees of pathological differentiation or heterogeneity in cancer. However, different IHC judgment criteria existed among these studies. Positive and negative were used to judge some, while others were graded according to signs (−, +, ++, and +++). In our meta-analysis, we used negative/low (including − and +) and positive/high (including ++ and +++) to assess SK1 expression in different tissues. That might be partly responsible for the heterogeneity.
When the mRNA and protein expression levels were detected via reverse transcriptase PCR or western blotting, the results were consistent. We found that the SK1 positive/high expression rates varied tremendously between different types of cancer (ranging from 20–82.2%). Differences in SK1 tissue distribution might be the main reason for this variation. Because the sample sizes and detection methods were different, the high heterogeneity prevented us from merging the studies to perform a meta-analysis.
Moreover, only 3 studies , ,  reported SK1 enzyme activity, and the interstudy activity level gaps were very wide (Figure 3). In all the 3 studies, the radioassay method was used to detect SK1 activity. This gap might have been introduced by the operator or testing instrument. It might also have been caused by differences in cancer types. To obtain more accurate results, more studies and the evaluation of more samples of the same cancer type with identical detection methods are needed.
Regarding the survival analysis, the follow-up duration in these studies ranged from 30 months to 12 years. We used 5-year and overall survival to evaluate the correlation between SK1 expression and survival in cancer patients. Studies in which the follow-up time was ≥5 years were included in the 5-year survival analysis. Because the overall survival follow-up times differed, we could not acquire concrete data from some of the articles and instead extracted data from survival curves. Therefore, the outcomes might not be very accurate. However, we do not believe that this affected the total outcome.
In our study, SK1 expression was detected in 19 common types of cancer. Some of the more common cancers were the focus of more studies, including breast cancer, which was researched in 7 studies , , , , , , , and colon cancer, which was researched in 5 studies, , , , . Therefore, different cancers were represented unequally with respect to sample numbers. Meanwhile, the cancer tissue sample and control sample selection methods differed among different studies. In some studies, the cancer and control tissue samples were collected from different areas in the same patient, whereas in other studies, the samples were collected from different patients. Moreover, in these studies, different SK1 detection methods were used and cancer patients of different ethnicities were included. All of these could be sources of heterogeneity. Despite the heterogeneity that was observed in some subgroup analyses, the total outcomes were not affected by the sensitivity analysis.
There were some other limitations and potential biases in our meta-analysis. First, as few (<3) studies regarding disease-specific survival (DSS) and disease-free survival (DFS) were included, we could not perform a meta-analysis of those variables, which are used to evaluate prognosis in cancer patients. Second, this meta-analysis did not discuss the associations between SK1 and ethnicity, tumor size, TNM stage, histological classification, pathological differentiation, lymphatic invasion, and metastasis, all of which are important clinical characteristics in cancer. In addition, only 1 or 2 studies were identified for some types of cancer, and as those sample sizes are insufficient, the associated biases might be remarkable.
In the individual papers, the SK1 expression were found in one or two kinds of cancers in each study. In our meta-analysis, we found that there were relationships between SK1 expression and various cancers, which may imply the possibility of using the SK1 level as the clinical biomarker of cancers.
Despite some limitations in this meta-analysis, our study still demonstrates that SK1 positivity/high expression is significantly associated with various types of cancers and reduced 5-year and overall survival. Because the SK1 positivity/high rates differ in different types of cancer, it is necessary to further explore whether SK1 might be a predictive biomarker of outcomes in cancer patients.
The authors thank Professor Liu Guanjian and Chen Xiaofan Ph.D of Chinese Evidence-Based Medicine Centre, West China Hospital, Sichuan University and Tang Bo Ph.D of Department of Economics, University of Sheffield, United Kingdom for their help in the preparation of the article.
Conceived and designed the experiments: YZ YW ZZ. Performed the experiments: YZ YW SPL. Analyzed the data: YZ ZW YC. Contributed reagents/materials/analysis tools: YZ YW ZZ. Wrote the paper: YZ ZW YC.
- 1. Ipatova OM, Torkhovskaya TI, Zakharova TS, Khalilov EM (2006) Sphingolipids and cell signaling: Involvement in apoptosis and atherogenesis. Biochemistry (Moscow) 71: 713–722.
- 2. Ricci C, Onida F, Ghidoni R (2006) Sphingolipid players in the leukemia arena. Biochimica et biophysica acta 1758: 2121–2132.
- 3. Cuvillier O (2002) Sphingosine in apoptosis signaling. Biochimica et biophysica acta 1585: 153–162.
- 4. Zheng W, Kollmeyer J, Symolon H, Momin A, Munter E, et al. (2006) Ceramides and other bioactive sphingolipid backbones in health and disease: lipidomic analysis, metabolism and roles in membrane structure, dynamics, signaling and autophagy. Biochimica et biophysica acta 1758: 1864–1884.
Selvam SP, Ogretmen B (2013) Sphingosine kinase/sphingosine 1-phosphate signaling in cancer therapeutics and drug resistance. Handbook of experimental pharmacology: 3–27.
- 6. Hannun YA, Obeid LM (2008) Principles of bioactive lipid signalling: lessons from sphingolipids. Nature reviews Molecular cell biology 9: 139–150.
- 7. Shida D, Takabe K, Kapitonov D, Milstien S, Spiegel S (2008) Targeting SphK1 as a new strategy against cancer. Current drug targets 9: 662.
- 8. Blondeau N, Lai Y, Tyndall S, Popolo M, Topalkara K, et al. (2007) Distribution of sphingosine kinase activity and mRNA in rodent brain. Journal of neurochemistry 103: 509–517.
- 9. Fukuda Y, Kihara A, Igarashi Y (2003) Distribution of sphingosine kinase activity in mouse tissues: contribution of SPHK1. Biochemical and Biophysical Research Communications 309: 155–160.
- 10. Murate T, Banno Y, K TK, Watanabe K, Mori N, et al. (2001) Cell type-specific localization of sphingosine kinase 1a in human tissues. The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society 49: 845–855.
- 11. Maceyka M, Sankala H, Hait NC, Le Stunff H, Liu H, et al. (2005) SphK1 and SphK2, sphingosine kinase isoenzymes with opposing functions in sphingolipid metabolism. The Journal of biological chemistry 280: 37118–37129.
- 12. Vadas M, Xia P, McCaughan G, Gamble J (2008) The role of sphingosine kinase 1 in cancer: oncogene or non-oncogene addiction? Biochimica et biophysica acta 1781: 442–447.
- 13. Akao Y, Banno Y, Nakagawa Y, Hasegawa N, Kim TJ, et al. (2006) High expression of sphingosine kinase 1 and S1P receptors in chemotherapy-resistant prostate cancer PC3 cells and their camptothecin-induced up-regulation. Biochem Biophys Res Commun 342: 1284–1290.
- 14. Brizuela L, Ader I, Mazerolles C, Bocquet M, Malavaud B, et al. (2012) First evidence of sphingosine 1-phosphate lyase protein expression and activity downregulation in human neoplasm: implication for resistance to therapeutics in prostate cancer. Molecular cancer therapeutics 11: 1841–1851.
- 15. Kawamori T, Kaneshiro T, Okumura M, Maalouf S, Uflacker A, et al. (2009) Role for sphingosine kinase 1 in colon carcinogenesis. FASEB journal : official publication of the Federation of American Societies for Experimental Biology 23: 405–414.
- 16. Johnson KR, Johnson KY, Crellin HG, Ogretmen B, Boylan AM, et al. (2005) Immunohistochemical distribution of sphingosine kinase 1 in normal and tumor lung tissue. The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society 53: 1159–1166.
- 17. Van BrocklynJR, Jackson CA, Pearl DK, Kotur MS, Snyder PJ, et al. (2005) Sphingosine kinase-1 expression correlates with poor survival of patients with glioblastoma multiforme: roles of sphingosine kinase isoforms in growth of glioblastoma cell lines. Journal of Neuropathology & Experimental Neurology 64: 695–705.
- 18. Li J, Guan HY, Gong LY, Song LB, Zhang N, et al. (2008) Clinical significance of sphingosine kinase-1 expression in human astrocytomas progression and overall patient survival. Clinical cancer research : an official journal of the American Association for Cancer Research 14: 6996–7003.
- 19. Pyne S, Edwards J, Ohotski J, Pyne NJ (2012) Sphingosine 1-phosphate receptors and sphingosine kinase 1: novel biomarkers for clinical prognosis in breast, prostate, and hematological cancers. Frontiers in oncology 2: 168.
- 20. Parmar MK, Torri V, Stewart L (1998) Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Statistics in medicine 17: 2815–2834.
- 21. Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR (2007) Practical methods for incorporating summary time-to-event data into meta-analysis. Trials 8: 16.
- 22. Bayerl MG, Bruggeman RD, Conroy EJ, Hengst JA, King TS, et al. (2008) Sphingosine kinase 1 protein and mRNA are overexpressed in non-Hodgkin lymphomas and are attractive targets for novel pharmacological interventions. Leukemia & lymphoma 49: 948–954.
- 23. Ruckhaberle E, Rody A, Engels K, Gaetje R, von Minckwitz G, et al. (2008) Microarray analysis of altered sphingolipid metabolism reveals prognostic significance of sphingosine kinase 1 in breast cancer. Breast cancer research and treatment 112: 41–52.
- 24. Li W, Yu CP, Xia JT, Zhang L, Weng GX, et al. (2009) Sphingosine kinase 1 is associated with gastric cancer progression and poor survival of patients. Clinical cancer research : an official journal of the American Association for Cancer Research 15: 1393–1399.
- 25. Erez-Roman R, Pienik R, Futerman AH (2010) Increased ceramide synthase 2 and 6 mRNA levels in breast cancer tissues and correlation with sphingosine kinase expression. Biochem Biophys Res Commun 391: 219–223.
Guan HY (2010) Molecular Mechanism of Anti·-apoptotic Activity of Sphingosine Kinase 1 in Glioma and Clinical Significance. Microbiology. Guangzhou: Sun Yat-Sen University.pp.68.
Jing H (2010) Sphingosine kinases 1 and sphingosine-1-posphate receptors mRNA and protein expression in colorectal adenocarcinoma. Digestive medicine. Guang Xi: Guangxi Medical University. pp. 54.
- 28. Knapp P, Baranowski M, Knapp M, Zabielski P, Blachnio-Zabielska AU, et al. (2010) Altered sphingolipid metabolism in human endometrial cancer. Prostaglandins & other lipid mediators 92: 62–66.
- 29. Liu G, Zheng H, Zhang Z, Wu Z, Xiong H, et al. (2010) Overexpression of sphingosine kinase 1 is associated with salivary gland carcinoma progression and might be a novel predictive marker for adjuvant therapy. BMC cancer 10: 495.
- 30. Malavaud B, Pchejetski D, Mazerolles C, de Paiva GR, Calvet C, et al. (2010) Sphingosine kinase-1 activity and expression in human prostate cancer resection specimens. European journal of cancer 46: 3417–3424.
- 31. Watson C, Long JS, Orange C, Tannahill CL, Mallon E, et al. (2010) High expression of sphingosine 1-phosphate receptors, S1P1 and S1P3, sphingosine kinase 1, and extracellular signal-regulated kinase-1/2 is associated with development of tamoxifen resistance in estrogen receptor-positive breast cancer patients. The American journal of pathology 177: 2205–2215.
- 32. Yi Z, Yan Z, Shu-shu W, Qing-qiu C, Jun J (2010) Expression of sphingosine kinase 1 in atypical hyperplasia of the breast and breast cancer and its significance. Chin J Breast Dis(Electronic Edit]on) 4: 200–205.
- 33. Xu Z, Guan HY, Fei YC, Li ZQ, Li SS, et al. (2010) Clinical significance of the expression of sphingolipids kinase-1 in neuroblastoma. Chin J Exp Surg 27: 1413–1414.
- 34. Guan H, Liu L, Cai J, Liu J, Ye C, et al. (2011) Sphingosine kinase 1 is overexpressed and promotes proliferation in human thyroid cancer. Molecular endocrinology 25: 1858–1866.
- 35. Pan J, Tao YF, Zhou Z, Cao BR, Wu SY, et al. (2011) An novel role of sphingosine kinase-1 (SPHK1) in the invasion and metastasis of esophageal carcinoma. Journal of translational medicine 9: 157.
- 36. Shirai K, Kaneshiro T, Wada M, Furuya H, Bielawski J, et al. (2011) A role of sphingosine kinase 1 in head and neck carcinogenesis. Cancer prevention research 4: 454–462.
- 37. Sinha UK, Schorn VJ, Hochstim C, Chinn SB, Zhu S, et al. (2011) Increased radiation sensitivity of head and neck squamous cell carcinoma with sphingosine kinase 1 inhibition. Head & neck 33: 178–188.
- 38. Zhuge Y, Tao H, Wang Y (2011) [Relationship between sphingosine kinase 1 expression and tumor invasion, metastasis and prognosis in gastric cancer]. Zhonghua yi xue za zhi 91: 2765–2768.
- 39. Bao M, Chen Z, Xu Y, Zhao Y, Zha R, et al. (2012) Sphingosine kinase 1 promotes tumour cell migration and invasion via the S1P/EDG1 axis in hepatocellular carcinoma. Liver international : official journal of the International Association for the Study of the Liver 32: 331–338.
- 40. Shan HX, Huang GQ, Cai HX, Zhu ZQ (2012) Expression of SphKl in gastric cancer and its clinical significance. Chinese Clinical Oncology 17: 1076–1005.
- 41. Kalari S, Moolky N, Pendyala S, Berdyshev EV, Rolle C, et al. (2012) Sphingosine kinase 1 is required for mesothelioma cell proliferation: role of histone acetylation. PloS one 7: e45330.
Liu Y, Li K, Xu SN, LIU WJ, Hou XF, et al. (2012) Relationships between SphK1 and esophageal cancer invasion and metastasis. Journal of Shandong University (Health Science) 50: 21–24,28.
- 43. Nunes J, Naymark M, Sauer L, Muhammad A, Keun H, et al. (2012) Circulating sphingosine-1-phosphate and erythrocyte sphingosine kinase-1 activity as novel biomarkers for early prostate cancer detection. British journal of cancer 106: 909–915.
- 44. Ohotski J, Long JS, Orange C, Elsberger B, Mallon E, et al. (2012) Expression of sphingosine 1-phosphate receptor 4 and sphingosine kinase 1 is associated with outcome in oestrogen receptor-negative breast cancer. British journal of cancer 106: 1453–1459.
- 45. Su Y, Huang J, Liu S, Huang J, Zhong Y, et al. (2012) The expression and clinical significance of SphK1 and nuclear factor-kappaB p65 in human colon carcinoma. Zhonghua nei ke za zhi [Chinese journal of internal medicine] 51: 220–224.
- 46. Yue ZW, Cao XP. Wang SB, Zhang K (2012) Expression of sphingosine kinase 1 in tongue squamous cell carcinoma and its down regulation on Tca 8113 cell migration. J Pract Stomatol 28: 735–739.
- 47. Georgiou GK, Igglezou M, Sainis I, Vareli K, Batsis H, et al. (2013) Impact of breast cancer surgery on angiogenesis circulating biomarkers: a prospective longitudinal study. World journal of surgical oncology 11: 213.
- 48. Harris BN, Masood R, Sinha UK (2013) Sphk1 Expression and Survival Outcomes in Squamous Cell Carcinoma of the Oral Cavity. Journal of Cancer Therapy 04: 704–708.
- 49. Liu S, Su Y, Qin MB, Mao YB, Huang JA, et al. (2013) Sphingosine kinase 1 promotes tumor progression and confers malignancy phenotypes of colon cancer by regulating the focal adhesion kinase pathway and adhesion molecules. International journal of oncology 42: 617–626.
- 50. Zhang Lj, Xia JT, Zhang LJ, Jian WH, Lai YY, et al. (2013) RNA Interference Down-regurates SPHK1 Gene and Inhibits Proliferation Of Gastric Cancer Cel. Journal of Sun Yat-sen University (Meducak Sciences) 34: 321–325.
- 51. Ohotski J, Edwards J, Elsberger B, Watson C, Orange C, et al. (2013) Identification of novel functional and spatial associations between sphingosine kinase 1, sphingosine 1-phosphate receptors and other signaling proteins that affect prognostic outcome in estrogen receptor-positive breast cancer. International journal of cancer Journal international du cancer 132: 605–616.
- 52. Rosa R, Marciano R, Malapelle U, Formisano L, Nappi L, et al. (2013) Sphingosine kinase 1 overexpression contributes to cetuximab resistance in human colorectal cancer models. Clinical cancer research : an official journal of the American Association for Cancer Research 19: 138–147.
- 53. Ruckhaberle E, Karn T, Denkert C, Loibl S, Ataseven B, et al. (2013) Predictive value of sphingosine kinase 1 expression in neoadjuvant treatment of breast cancer. Journal of cancer research and clinical oncology 139: 1681–1689.