Galanin plays an important role in cancer invasiveness and is associated with poor prognosis in stage II colorectal cancer
- Authors:
- Published online on: December 9, 2014 https://doi.org/10.3892/or.2014.3660
- Pages: 539-546
-
Copyright: © Nagayoshi et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY_NC 3.0].
Abstract
Introduction
A significant cause of mortality in patients with colorectal cancer (CRC) is tumor relapse after curative surgical resection. Adjuvant chemotherapy using 5-fluorouracil (5-FU) with or without oxaliplatin increases the survival of patients with stage III CRC by decreasing recurrence (1). However, there is no reliable evidence for a benefit of chemotherapy in patients with stage II CRC. Several clinical and pathologic features have been associated with high risk in patients with stage II CRC, including T4 tumor stage, perforation or obstruction, and poorly differentiated histology (2,3). In patients with stage II CRC treated with adjuvant chemotherapy, their prognosis cannot be accurately predicted and there is no evidence that these patients achieve a benefit from such treatment (4).
The use of molecular markers, such as high-frequency microsatellite instability and chromosomal instability, to indicate the prognosis of stage II CRC patients has been widely investigated. However, due to the heterogeneity of CRC resulting from different molecular features that may develop through multiple pathways (5,6), these molecular characteristics do not reflect all cases of recurrence after curative resection of CRC. Therefore, further stratified studies are needed to investigate other molecular markers that can discriminate individual subsets of CRC patients with poor prognosis who are likely to benefit from chemotherapy.
Galanin (GAL) is a 29 amino acid neuropeptide that is widely distributed in peripheral and central neurons (7). The actions of GAL are mediated through its interaction with at least three specific G-protein-coupled receptor subtypes, namely GalR1, GalR2 and GalR3 (8). Galanin modulates a variety of physiologic processes, including cognition, nociception, memory, feeding, neurotransmitter, hormone secretion and cell proliferation (9–11). In the gastrointestinal tract, GAL plays a role in intestinal contraction (12), regulation of gastric acid secretion, and inhibition of the release of pancreatic peptides (13,14). Although, GAL is expressed in several malignant tumors (11,15–17) and is associated with cell proliferation and tumor growth (11,17–19), the prognostic value of GAL expression in cancer patients is not completely understood. Since previous studies have shown that CRC tissue has higher GAL expression than normal colonic mucosa (17,20), we speculated that GAL expression might play an important role in CRC progression.
In the present study, we conducted a retrospective study to analyze GAL expression in stage II CRCs and stage III CRCs and to examine GAL expression as an indicator of tumor recurrence of CRC patients. We also investigated the role of GAL expression in the proliferative and invasive activities of CRC cells in vitro.
Materials and methods
Patients and tumor samples
One-hundred and twelve primary tumor samples from 52 patients with stage II CRC and 60 patients with stage III CRC consisting of patients with tumor recurrence and age- and gender-matched patients without recurrence who underwent surgical resection from January 1998 to December 2009 at the Kyushu University Hospital were retrospectively collected, after obtaining each patient’s informed consent for use in research. Twenty-seven normal colonic mucosa samples were also gathered. All samples were frozen in liquid nitrogen immediately after surgical resection and stored at −80°C until RNA extraction. Patients who died in the perioperative period (within 30 days) were excluded. None of the patients received preoperative treatment such as radiation and/or chemotherapy. Of the 112 patients, 79 received postoperative chemotherapy, consisting mainly of 5-FU-based adjuvant therapy, primarily 5-FU + leucovorin (LV) or tegafur-uracil (UFT) + LV, while 33 patients received no treatment. Clinical and pathologic data were obtained from medical records and centrally reviewed for this study. Each tumor was staged according to the American Joint Committee on Cancer TNM staging system and the patients were monitored for tumor recurrence and survival (median follow-up, 61.9 months; range, 9.87–131.6 months). Recurrence was defined as local tumor recurrence, distant metastasis, or peritoneal metastasis. Recurrence was investigated by regular patient checkups as follows: office visits and assays of tumor markers every 3 months for the first 3 years and every 6 months for the next 2 years; colonoscopy every 12 months for the first 3 years; and computed tomography every 6 months for the first 5 years (21). The Kyushu University Hospital Human Research Ethics Committee approved this study.
RNA extraction and reverse transcription and quantitative real-time PCR
Total RNA was extracted from frozen tumor samples using TRIzol reagent (Invitrogen, Carlsbad, CA, USA). cDNA was synthesized from 500 ng total RNA using the High Capacity cDNA Reverse Transcription kit (Applied Biosystems, Foster City, CA, USA). mRNA expression levels were quantified using quantitative real-time PCR in a 96-well format by a SYBR® Green-based approach using 7500 Fast Real-Time PCR System (Applied Biosystems) and SYBR® Premix Ex Taq™ II (Takara Bio, Inc., Ohtsu, Japan) in a final volume of 20 μl including 100 ng cDNA and 0.4 pmol/μl of each primer. The thermal cycling conditions included an initial denaturation for 30 sec at 95°C and 40 cycles consisting of an annealing step at 95°C for 5 sec and an extension step at 60°C for 34 sec. Each sample was analyzed in triplicate. The sequences of the primers used for PCR are as follows: GAL (forward, 5′-CCGGCCAAGGAAAAACGAG-3′ and reverse, 5′-GAGGCCATTCTTGTCGCTGA-3′); GAPDH (forward, 5′-CCGGCCAAGGAAAAACGAG-3′ and reverse, 5′-GAGGCCATTCTTGTCGCTGA-3′). The relative expression of GAL was calculated by the 2−ΔΔCt method. Data are presented as the relative quantity of target mRNA normalized to expression of GAPDH mRNA and relative to a calibrator sample. Each assay was performed three times.
Cell culture and siRNA transfection
HCT116 cells were obtained from the American Type Culture Collection and DLD-1 cells were provided by the Japan Human Science Foundation. Two individual siRNAs specific for GAL (siRNA GAL1 sense, 5′-CCCUGAACAGCGCGGCUATT-3′ and antisense, 5′-UAGCCCGCGCUGUUCAGGTT-3′; siRNA GAL2 sense, 5′-GAGCUGCGGCCCGAAGAUGTT-3′ and antisense, 5′-AUCUUCGGCCGCAGCUCCTT-3′) and negative control siRNA were purchased from Sigma-Aldrich (St. Louis, MO, USA). Cells were transfected with siRNA oligonucleotides (20 nmol/l) using Lipofectamine RNAiMAX (Invitrogen) according to the manufacturer’s protocol. GAL expression levels were measured 48 h post transfection.
Matrigel invasion assay and functional separation
The Matrigel invasion assay was performed using the BD Biocoat Matrigel Invasion Chamber according to the manufacturer’s protocol (BD Biosciences, Bedford, MA, USA). Cells (5×105) were seeded in the upper chamber, which was coated with 20 μg/well Matrigel, and cultured for 48 h. Cancer cells that invaded and migrated to the lower surface of the Matrigel-coated membrane were fixed with 70% ethanol, stained with hematoxylin and eosin, and counted in three random fields at ×100 magnification under a light microscope (BZ-9000; Keyence, Osaka, Japan). Results were expressed as the mean number of invading cells. Each experiment was carried out in triplicate wells and independent experiments were repeated. Invasive cells were isolated by functional separation using the Matrigel invasion assay after 72 h in culture (22).
Cell proliferation assay
Cell proliferation was evaluated by measuring the fluorescence intensity of propidium iodide (PI) as previously described by Zhang et al (23). CRC cells were seeded in triplicate in 24-well plates at a density of 2×104 cells/well. After incubation for 24 h, PI (30 μM) and digitonin (600 μM) were added to each well to label nuclei. The fluorescence intensity of PI, corresponding to the total cell number, was measured using an infinite F200 (Tecan; Invitrogen).
Meta-analysis
We evaluated the prognostic value of GAL expression by meta-analysis of two independent public CRC microarray datasets available on the Gene Expression Omnibus in NCBI. We used two independent datasets, GSE14333 (24) and GSE 17538 (25), in which the frozen tissue samples of primary CRCs included stage II CRCs and stage III CRCs, similar to the samples in this study. The expression data were normalized using quantile normalization. We analyzed GAL mRNA expression in the datasets and the minimum P-value approach employed in PrognoScan (26) was used to determine the cut-off value for GAL expression that optimally divided patients into groups corresponding to high or low expression for microarray data.
Statistical analysis
Student’s two-way t-test was used to determine statistically significant differences in the average GAL expression between CRC and control samples. Clinical and demographic characteristics were analyzed with χ2 tests for categorical variables. Survival curves of the patients were conducted with the Kaplan-Meier method and the difference between the curves was compared using the log-rank test. Univariate and multivariate analyses of death and tumor recurrence were performed using Cox’s proportional hazards model. In multivariate analyses, variables included in the final model were selected using a stepwise method to identify significant risk factors for death and tumor recurrence. A probability level of 0.05 was chosen for statistical significance. Statistical analyses were performed with JMP 11.0.2a software (SAS Institute, Cary, NC, USA).
Results
Expression of GAL in CRCs and clinicopathological characteristics
The GAL expression level was significantly higher in 112 CRCs than in 27 non-cancerous mucosa (P=0.01) (Fig. 1A). Quantitative real-time PCR revealed significantly higher expression of GAL in CRC with tumor recurrence compared with CRC without tumor recurrence (P<0.001) (Fig 1A) and the GAL expression level was higher in stage II CRCs than in stage III CRCs (P<0.001) (Fig. 1B).
We divided 112 CRCs, comprising 52 stage II and 60 stage III CRCs, into GAL high and low expression groups using the cut-off value of GAL expression level as twice as that of the normal colonic mucosa. The GAL high expression group included 11 stage II CRCs (21.2%) and 3 stage III CRCs (5.0%), indicating more stage II CRCs in the GAL high expression group than stage III CRCs (P=0.009) (Table I). While there was no significant difference between GAL expression and other clinicopathological findings, tumor recurrence occurred more often in the GAL high expression group compared with the low expression group, although the difference was not statistically significant (71.4 vs. 46.9%, respectively; P=0.08). Therefore, we further examined the association between the survival of CRC patients and the status of GAL expression according to tumor stage.
Table IAssociation between the clinicopathological characteristics of the 112 colorectal cancer patients and GAL expression. |
High GAL expression is associated with poor prognosis in stage II CRCs but not in stage III CRCs
Stage II CRC patients with high GAL expression had a lower 5-year overall survival (5-OS) and 5-year recurrence-free survival (5-RFS) than those with low GAL expression (5-OS: 30.3 vs. 82.3%, respectively, P<0.001; 5-RFS: 27.3 vs. 57.5%, P=0.006) (Fig. 2A and B). In patients with stage III CRC, there was no significant difference in 5-OS and 5-RFS according to GAL expression (Fig. 2C and D). Univariate analysis revealed that high GAL expression was associated with both poor 5-OS and poor 5-RFS in patients with stage II CRC [5-OS: hazard ratio (HR), 5.32; 95% confidence interval (CI), 1.93–14.74; P=0.002; 5-RFS: HR, 2.99; 95% CI, 1.26–6.65; P=0.02] (Table II), while there was no association between GAL expression and 5-OS and 5-RFS in patients with stage III CRC. In multivariate analysis, high GAL expression was an independent prognostic factor for 5-OS and 5-RFS in patients with stage II CRC (5-OS: HR, 7.31; 95% CI, 2.38–24.04; P<0.001; 5-RFS: HR, 3.99; 95% CI, 1.61–9.44; P=0.004) (Table II), but not in patients with stage III CRC.
Survival analysis using independent expression profiling of public data
We confirmed the prognostic value of GAL expression using two publicly available independent CRC microarray datasets. In the GSE17538 dataset, stage II CRC patients with high GAL expression showed significantly shorter RFS than those with low GAL expression. RFS was not significantly different according to GAL expression among patients with stage III CRC (P=0.02) (Fig. 3A). Similarly, high GAL expression tended to be associated with poor RFS among Dukes’ B patients in the GSE14333 dataset (P=0.08) (Fig. 3B), whereas a significant correlation between high GAL expression and poor RFS was shown in Dukes’ A+B patients (P=0.01) (data not shown). High GAL expression was not significantly correlated with poor RFS in Dukes’ C patients (Fig. 3B).
Expression of GAL correlates with the proliferation and the invasive ability of CRC cells
To investigate the role of GAL expression in the proliferation and invasion of CRC cells, we examined the proliferation and the invasiveness of two CRC cell lines that express detectable levels of endogenous GAL (data not shown). Functional separation based on invasiveness showed that GAL expression was significantly higher in invasive CRC cells than in parental cells (HCT116, P<0.001; DLD-1, P=0.001) (Fig. 4A). Suppression of GAL expression by siRNA (data not shown) significantly decreased the number of proliferative cells (HCT116, P<0.001; DLD-1, P<0.001) (Fig. 4B). Moreover, suppression of GAL expression reduced the number of invasive cells after incubation for 48 h (HCT116, P=0.001; DLD-1, P<0.001) (Fig. 4C and D).
Discussion
Our data showed that high expression of GAL was significantly associated with tumor relapse and poor prognosis of CRC patients. Although GAL expression was not associated with conventional clinicopathological risk factors in stage II CRC, such as T4 stage, lymphovascular invasion of tumor cells, and pathologic surgical margin involvement, higher GAL expression was an independent poor prognostic factor for OS and RFS in multivariate analysis. These results were verified by analysis of two separate public datasets. Our findings indicate that GAL expression might be increased in stage II CRCs that have already developed micrometastases at the time of surgery or those that possess a higher potential for progression and recurrence after resection.
Studies of neuronal cultures from GAL-knockout mice demonstrated that GAL and its receptors play a critical developmental role and interact with differentiation factors in a molecular cascade to regulate regeneration and neural cell survival (27,28). Moreover, GAL may function as an autocrine/paracrine modulator to influence tumor cell growth and development in neuroblastoma (29). As described previously (17,20), we found that GAL expression was significantly higher in CRCs compared with normal colonic mucosa, especially in CRCs with recurrence. In our preliminary experiment, immunohistochemical analysis showed GAL was expressed in all CRCs examined and localized predominantly to the cytoplasm of the carcinoma cells, whereas none of the non-cancerous colonic mucosa demonstrated positive immunostaining of GAL (data not shown). Together with the decreased proliferative activity of CRC cells after suppression of GAL expression, our findings suggest that GAL might act as a direct growth factor. This notion is supported by previous studies describing the mitogenic effect of GAL through the MAP kinase pathway (30,31). Moreover, we showed that GAL expression was higher in invasive cells than in corresponding parental cells and that silencing of GAL expression significantly decreased the invasive activity of CRC cells. Thus, the subpopulation of CRC cells that sustain high GAL expression may be more aggressive and have the potential to cause tumor recurrence in CRC patients.
Contrary to the results of this study, high expression of GAL receptors induces antiproliferative effects by inducing apoptosis (19,32) and stimulation of GALR1-overexpressing oral squamous carcinoma cells with exogenous GAL induces ERK activation and is associated with suppression of cell proliferation and tumor growth in vivo (33). However, Stevenson et al (34) showed that GALR1/GAL silencing downregulates FLIPL and activates caspase-8-dependent apoptosis in CRC cells, and thus suggested that high GAL expression would promote high FLIP expression and result in a more aggressive phenotype and chemotherapy resistance. Although the molecular dynamics of GAL expression are currently unknown due to the lack of detailed functional data on tumorigenesis and inconsistent data regarding the impact of GAL-GALR signaling on the proliferative activity of tumor cells, several previous reports and our data support the notion of an oncogenic effect of GAL in CRC development. Silencing of GAL promoted an antiproliferative effect and decreased the invasive activity of CRC cells, suggesting that GAL-GALR signaling might also be a therapeutic target for CRC. As Kim et al (17) showed that GAL levels in the serum of CRC patients were significantly higher than those found in normal subjects, the overexpression of GAL in CRCs leads us to propose GAL as a potential marker for CRC screening.
The association between high GAL expression and worse prognosis was not observed in stage III CRC. Microarray analysis has shown significantly different expression profiles of many genes between lymph node-positive and -negative tumors, and pathways of immune surveillance, cell motility, and apoptosis might be differentially regulated between stage II and III CRC (35). Thus, the significance of GAL expression for tumor proliferation and invasion may differ according to stage. The mechanism of recurrence is proposed to involve the dissemination of cancer stem cells that are characterized by pluripotency and are capable of propagating into metastases at distant sites (36). Because GAL is considered to be a marker of multipotent stem cells (37,38), the significant correlation between high GAL expression and tumor metastasis, together with the aggressive behavior of CRC cells with high GAL expression, indicate a potential role of GAL in the dissemination of cancer stem cells in stage II CRC.
Our study has some limitations. The number of patients was too small to draw firm conclusions and additional analysis in a larger patient cohort is required. Additionally, the autocrine and paracrine signal network regulating GAL and its receptors should be investigated to further understand the role of GAL expression in CRC development.
In conclusion, our results showed that high expression of GAL is associated with poor prognosis in stage II CRC patients and suggest that GAL plays a significant role in the invasion and proliferation of CRC cells. Although further large studies are required, our findings indicate the possibility that GAL-GALR signaling may serve as a prognostic marker and a therapeutic target in patients with stage II CRC.
Acknowledgements
The authors thank Dr Junji Kishimoto of the Center for Clinical and Translational Research at Kyushu University Hospital for his valued assistance in the statistical analyses of this study. The authors thank Dr Hideaki Mizuno for providing R code for PrognoScan.
References
Gill S, Loprinzi CL, Sargent DJ, et al: Pooled analysis of fluorouracil-based adjuvant therapy for stage II and III colon cancer: who benefits and by how much? J Clin Oncol. 22:1797–1806. 2004. View Article : Google Scholar : PubMed/NCBI | |
Clinical Practice Guidelines in Colon Cancer National Comprehensive Cancer Network. 2013 | |
Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL and Trotti D: AJCC Cancer Staging Manual. Springer; New York: 2010 | |
Shi Q, Andre T, Grothey A, et al: Comparison of outcomes after fluorouracil-based adjuvant therapy for stages II and III colon cancer between 1978 to 1995 and 1996 to 2007: evidence of stage migration from the ACCENT database. J Clin Oncol. 31:3656–3663. 2013. View Article : Google Scholar : PubMed/NCBI | |
Jass JR: Classification of colorectal cancer based on correlation of clinical, morphological and molecular features. Histopathology. 50:113–130. 2007. View Article : Google Scholar : PubMed/NCBI | |
Shen L, Toyota M, Kondo Y, et al: Integrated genetic and epigenetic analysis identifies three different subclasses of colon cancer. Proc Natl Acad Sci USA. 104:18654–18659. 2007. View Article : Google Scholar : PubMed/NCBI | |
Kask K, Langel U and Bartfai T: Galanin - a neuropeptide with inhibitory actions. Cell Mol Neurobiol. 15:653–673. 1995. View Article : Google Scholar : PubMed/NCBI | |
Branchek TA, Smith KE, Gerald C and Walker MW: Galanin receptor subtypes. Trends Pharmacol Sci. 21:109–117. 2000. View Article : Google Scholar : PubMed/NCBI | |
Floren A, Land T and Langel U: Galanin receptor subtypes and ligand binding. Neuropeptides. 34:331–337. 2000. View Article : Google Scholar | |
Misawa Y, Misawa K, Kanazawa T, et al: Tumor suppressor activity and inactivation of galanin receptor type 2 by aberrant promoter methylation in head and neck cancer. Cancer. 120:205–213. 2014. View Article : Google Scholar | |
Rauch I and Kofler B: The galanin system in cancer. EXS. 102:223–241. 2010. | |
Burleigh DE and Furness JB: Distribution and actions of galanin and vasoactive intestinal peptide in the human colon. Neuropeptides. 16:77–82. 1990. View Article : Google Scholar : PubMed/NCBI | |
Zeng N, Kang T, Wen Y, Wong H, Walsh J and Sachs G: Galanin inhibition of enterochromaffin-like cell function. Gastroenterology. 115:330–339. 1998. View Article : Google Scholar : PubMed/NCBI | |
Ahren B, Rorsman P and Berggren PO: Galanin and the endocrine pancreas. FEBS Lett. 229:233–237. 1988. View Article : Google Scholar : PubMed/NCBI | |
Berger A, Santic R, Hauser-Kronberger C, et al: Galanin and galanin receptors in human cancers. Neuropeptides. 39:353–359. 2005. View Article : Google Scholar : PubMed/NCBI | |
Gilaberte Y, Vera J, Coscojuela C, Roca MJ, Parrado C and Gonzalez S: Expression of galanin in melanocytic tumors. Actas Dermosifiliogr. 98:24–34. 2007.(In Spanish). View Article : Google Scholar : PubMed/NCBI | |
Kim KY, Kee MK, Chong SA and Nam MJ: Galanin is up-regulated in colon adenocarcinoma. Cancer Epidemiol Biomarkers Prev. 16:2373–2378. 2007. View Article : Google Scholar : PubMed/NCBI | |
Xia CY, Yuan CX and Yuan CG: Galanin inhibits the proliferation of glial olfactory ensheathing cells. Neuropeptides. 39:453–459. 2005. View Article : Google Scholar : PubMed/NCBI | |
Berger A, Lang R, Moritz K, et al: Galanin receptor subtype GalR2 mediates apoptosis in SH-SY5Y neuroblastoma cells. Endocrinology. 145:500–507. 2004. View Article : Google Scholar | |
El-Salhy M: Effects of triple therapy with octreotide, galanin and serotonin on a human colon cancer cell line. Oncol Rep. 13:45–49. 2005. | |
Watanabe T, Itabashi M, Shimada Y, et al: Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2010 for the treatment of colorectal cancer. Int J Clin Oncol. 17:1–29. 2012. View Article : Google Scholar | |
Fujiwara K, Ohuchida K, Mizumoto K, et al: CD271+ subpopulation of pancreatic stellate cells correlates with prognosis of pancreatic cancer and is regulated by interaction with cancer cells. PLoS One. 7:e526822012. View Article : Google Scholar | |
Zhang L, Mizumoto K, Sato N, et al: Quantitative determination of apoptotic death in cultured human pancreatic cancer cells by propidium iodide and digitonin. Cancer Lett. 142:129–137. 1999. View Article : Google Scholar : PubMed/NCBI | |
Jorissen RN, Gibbs P, Christie M, et al: Metastasis-associated gene expression changes predict poor outcomes in patients with Dukes stage B and C colorectal cancer. Clin Cancer Res. 15:7642–7651. 2009. View Article : Google Scholar : PubMed/NCBI | |
Smith JJ, Deane NG, Wu F, et al: Experimentally derived metastasis gene expression profile predicts recurrence and death in patients with colon cancer. Gastroenterology. 138:958–968. 2010. View Article : Google Scholar | |
Mizuno H, Kitada K, Nakai K and Sarai A: PrognoScan: a new database for meta-analysis of the prognostic value of genes. BMC Med Genomics. 2:182009. View Article : Google Scholar : PubMed/NCBI | |
Holmes FE, Mahoney S, King VR, et al: Targeted disruption of the galanin gene reduces the number of sensory neurons and their regenerative capacity. Proc Natl Acad Sci USA. 97:11563–11568. 2000. View Article : Google Scholar : PubMed/NCBI | |
O’Meara G, Coumis U, Ma SY, et al: Galanin regulates the postnatal survival of a subset of basal forebrain cholinergic neurons. Proc Natl Acad Sci USA. 97:11569–11574. 2000. View Article : Google Scholar | |
Perel Y, Amrein L, Dobremez E, Rivel J, Daniel JY and Landry M: Galanin and galanin receptor expression in neuroblastic tumours: correlation with their differentiation status. Br J Cancer. 86:117–122. 2002. View Article : Google Scholar : PubMed/NCBI | |
Seufferlein T and Rozengurt E: Galanin, neurotensin, and phorbol esters rapidly stimulate activation of mitogen-activated protein kinase in small cell lung cancer cells. Cancer Res. 56:5758–5764. 1996.PubMed/NCBI | |
Henson BS, Neubig RR, Jang I, et al: Galanin receptor 1 has anti-proliferative effects in oral squamous cell carcinoma. J Biol Chem. 280:22564–22571. 2005. View Article : Google Scholar : PubMed/NCBI | |
Trejter M, Brelinska R, Warchol JB, et al: Effects of galanin on proliferation and apoptosis of immature rat thymocytes. Int J Mol Med. 10:183–186. 2002.PubMed/NCBI | |
Kanazawa T, Iwashita T, Kommareddi P, et al: Galanin and galanin receptor type 1 suppress proliferation in squamous carcinoma cells: activation of the extracellular signal regulated kinase pathway and induction of cyclin-dependent kinase inhibitors. Oncogene. 26:5762–5771. 2007. View Article : Google Scholar : PubMed/NCBI | |
Stevenson L, Allen WL, Turkington R, et al: Identification of galanin and its receptor GalR1 as novel determinants of resistance to chemotherapy and potential biomarkers in colorectal cancer. Clin Cancer Res. 18:5412–5426. 2012. View Article : Google Scholar : PubMed/NCBI | |
Grade M, Hormann P, Becker S, et al: Gene expression profiling reveals a massive, aneuploidy-dependent transcriptional deregulation and distinct differences between lymph node-negative and lymph node-positive colon carcinomas. Cancer Res. 67:41–56. 2007. View Article : Google Scholar : PubMed/NCBI | |
Frank NY, Schatton T and Frank MH: The therapeutic promise of the cancer stem cell concept. J Clin Invest. 120:41–50. 2010. View Article : Google Scholar : PubMed/NCBI | |
Zeng X, Miura T, Luo Y, et al: Properties of pluripotent human embryonic stem cells BG01 and BG02. Stem Cells. 22:292–312. 2004. View Article : Google Scholar : PubMed/NCBI | |
Anisimov SV, Tarasov KV, Tweedie D, Stern MD, Wobus AM and Boheler KR: SAGE identification of gene transcripts with profiles unique to pluripotent mouse R1 embryonic stem cells. Genomics. 79:169–176. 2002. View Article : Google Scholar : PubMed/NCBI |