Literature DB >> 25504183

Galanin plays an important role in cancer invasiveness and is associated with poor prognosis in stage II colorectal cancer.

Kinuko Nagayoshi1, Takashi Ueki1, Kosuke Tashiro2, Yusuke Mizuuchi3, Tatsuya Manabe1, Hiromitsu Araki2, Yoshinao Oda3, Satoru Kuhara2, Masao Tanaka1.   

Abstract

Reliable predictors of tumor recurrence for patients with stage II colorectal cancer (CRC) are needed to select patients who should receive adjuvant chemotherapy. Although galanin (GAL) is expressed in several malignant tumors and is associated with cell proliferation and tumor growth, the prognostic value of GAL expression in CRC is poorly understood. We compared GAL expression between 56 patients with stage II and III CRC who developed tumor recurrences and 56 patients who did not. The clinical and prognostic significance of GAL expression was examined using our data and independent public datasets. We also analyzed the influence of GAL expression on the proliferation and invasive activity of CRC cells. Higher expression of GAL was associated with tumor recurrence among the CRC patients (P<0.001). Stage II CRC patients who presented with high expression levels of GAL had significantly poorer prognosis than those with low expression levels of GAL [5-year overall survival: hazard ratio (HR), 7.31; 95% confidence interval (CI), 2.38-24.04; P<0.001; 5-year recurrence-free survival: HR, 3.99; 95% CI, 1.61‑9.44; P=0.004], but there was no association between GAL expression and survival in stage III CRC patients. These findings were supported by analysis of two public datasets. Functionally, siRNA-mediated silencing of GAL resulted in a significant decrease in the proliferative and invasive activities of CRC cells. In conclusion, high expression of GAL is associated with poor prognosis of stage II CRC patients and GAL expression may be related to the aggressive behavior of CRC.

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Year:  2014        PMID: 25504183      PMCID: PMC4306273          DOI: 10.3892/or.2014.3660

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


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).
Figure 1

Relative galanin (GAL) mRNA expression level by quantitative real-time PCR. (A) Mean GAL expression in 112 colorectal cancers (CRCs) (tumors with recurrence and tumors without recurrence) was significantly higher than that in 27 non-cancerous mucosa (P=0.01). Tumors with recurrence showed higher GAL expression than those without recurrence (P<0.001). (B) Mean GAL expression in stage II CRCs was significantly higher than that in stage III CRCs (P<0.001). Expression was normalized to GAPDH mRNA levels.

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 I

Association between the clinicopathological characteristics of the 112 colorectal cancer patients and GAL expression.

GAL expression

VariablesHigh (n=14)Low (n=98)P-value
Age (years)
 ≥658 (57.1)38 (38.8)
 <656 (42.9)60 (61.2)0.20
Gender
 Male9 (64.3)49 (50.0)
 Female5 (35.7)49 (50.0)0.31
Location
 Colon7 (50.0)65 (63.3)
 Rectum7 (50.0)33 (33.7)0.24
pT stage
 T20 (0.0)8 (8.2)
 T312 (85.7)81 (82.6)
 T42 (14.3)9 (9.2)0.30
Stage
 II11 (78.6)41 (41.8)
 III3 (21.4)57 (58.2)0.009a
Histology
 Diff11 (78.6)85 (86.7)
 Undiff3 (21.4)13 (13.3)0.44
Lymphatic invasion
 Negative10 (71.4)59 (60.2)
 Positive4 (28.6)39 (39.8)0.41
Venous invasion
 Negative10 (71.4)52 (53.1)
 Positive4 (28.6)46 (46.9)0.19
Histological surgical margin
 Negative14 (100.0)94 (95.9)
 Positive0 (0.0)4 (4.1)0.30
Adjuvant chemotherapy
 Done9 (64.3)70 (71.4)
 Not done5 (35.7)28 (28.6)0.59
Tumor recurrence
 Negative4 (28.6)52 (53.1)
 Positive10 (71.4)46 (46.9)0.08

Statistical significance (P<0.05).

Diff, differentiated tumor; Undiff, undifferentiated tumor; GAL, galanin.

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.
Figure 2

Survival outcomes in colorectal cancer (CRC) patients according to the galanin (GAL) expression level. Both 5-year overall survival [(A) 30.3 vs. 82.3%, P<0.001] and 5-year recurrence-free survival [(B) 27.3 vs. 57.5%, P=0.006] were significantly lower in patients with stage II CRC with high GAL expression than in those with low GAL expression. (C and D) There was no significant difference between GAL expression level and survival in patients with stage III CRC.

Table II

Hazard ratios of 52 stage II and 60 stage III colorectal cancer patients.

5-OS5-RFS


Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis




StageVariableHR (95% CI)P-valueHR (95% CI)P-valueHR (95% CI)P-valueHR (95% CI)P-value
IIAge (years)≥65/<651.03 (0.37–2.77)0.951.05 (0.47–2.28)0.89
GenderFemale/male1.39 (0.51–3.93)0.511.32 (0.61–2.91)0.48
LocationRectum/colon1.28 (0.43–3.51)0.641.29 (0.57–2.80)0.53
pT stageT3/T42.44 (0.38–9.12)0.305.60 (0.80–25.20)0.081.10 (0.18–3.74)0.901.93 (0.30–7.23)0.43
Histology of tumorUndiff/diff3.16 (0.72–9.96)0.121.45 (0.34–4.18)0.56
Lymphatic invasionPositive/negative1.42 (0.50–3.83)0.490.81 (0.33–1.81)0.62
Venous invasionPositive/negative1.48 (0.54–4.01)0.441.11 (0.34–3.40)0.851.44 (0.66–3.16)0.351.78 (0.75–4.17)0.19
Histological surgical marginPositive/negative63.15 (5.90–1,382.45)0.002a205.63 (14.34–5,824.67)<0.001a5.18 (0.81–18.91)0.085.85 (0.83–26.11)0.07
Adjuvant chemotherapyNot done/done2.69 (0.99–7.60)0.0522.13 (0.73–6.45)0.161.73 (0.77–3.87)0.181.61 (0.69–3.75)0.27
GAL expressionHigh/low5.32 (1.93–14.74)0.002a7.31 (2.38–24.04)<0.001a2.99 (1.26–6.65)0.02a3.99 (1.61–9.44)0.004a
IIIAge (years)≥65/<652.21 (0.81–6.13)0.121.06 (0.47–2.27)0.89
GenderFemale/male1.54 (0.57–4.32)0.391.17 (0.55–2.52)0.68
LocationRectum/colon1.28 (0.43–3.51)0.641.48 (0.67–3.16)0.33
pT stageT3/T22.12 (0.41–38.80)0.421.07 (0.36–4.57)0.91
T4/T29.30 (1.34–183.96)0.02a2.97 (0.73–10.81)0.122.93 (0.71–14.37)0.131.90 (0.60–4.98)0.25
pN stageN2/N13.59 (1.31–10.74)0.01a3.55 (1.22–11.26)0.02a2.23 (1.03–4.78)0.04a2.14 (0.95–4.76)0.07
Histology of tumorUndiff/diff1.48 (0.54–4.01)0.442.40 (0.93–5.52)0.07
Lymphatic invasionPositive/negative0.44 (0.14–1.24)0.120.53 (0.15–1.67)0.280.84 (0.38–1.80)0.65
Venous invasionPositive/negative2.22 (0.82–6.52)0.123.27 (1.49–7.67)0.003a3.14 (1.40–7.49)0.005a
Histological surgical marginPositive/negative5.26E-09 (3.44–3.44)0.284.04 (0.63–14.53)0.12
Adjuvant chemotherapyNot done/done1.21 (0.39–5.35)0.762.03 (0.60–9.53)0.271.31 (0.53–3.93)0.582.33 (0.86–7.77)0.1
GAL expressionHigh/low1.47 (0.08–7.34)0.730.91 (0.05–4.33)0.93

Statistical significance (P<0.05).

CI, confidence interval; HR, hazard ratio; diff, differentiated tumor; undiff, undifferentiated tumor; 5-OS, 5-year overall survival; 5-RFS, 5-year recurrence-free survival.

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).
Figure 3

Survival analysis using two independent public expression profiling datasets. Survival analysis of GSE17538 (A) dataset showed that high galanin (GAL) expression was significantly correlated with decreased recurrence-free survival in colorectal cancer (CRC) patients without lymph node metastasis (P=0.02), but not in those with lymph node metastasis. Survival analysis of GSE14333 (B) dataset showed that high GAL expression tended to be correlated with decreased recurrence-free survival in CRC patients without lymph node metastasis (P=0.08), but not in those with lymph node metastasis.

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).
Figure 4

Effect of galanin (GAL) silencing on the proliferation and invasion of colon cancer cells. (A) GAL expression in invasive colorectal cancer (CRC) cells and parental cells by functional separation. GAL expression was significantly higher in invasive CRC cells than parental cells. (B) Cell proliferation ratio in HCT116 and DLD-1 cells. Cell proliferation assay showed a significant decrease in the number of proliferating cells after siRNA-mediated silencing of GAL expression. Proliferation is expressed relative to the parent cells. (C) Hematoxylin and eosin staining of invasive HCT116 and DLD-1 cells transfected as indicated after incubation in the assay chambers for 48 h. (D) The invasiveness of HCT116 cells and DLD-1 cells was significantly decreased after silencing of GAL expression. Parent, non-transfected cells; NC, negative control siRNA.

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 FLIP 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.
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Authors:  Chen-Yi Xia; Can-Xing Yuan; Chong-Gang Yuan
Journal:  Neuropeptides       Date:  2005-09-06       Impact factor: 3.286

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Journal:  Cell Mol Neurobiol       Date:  1995-12       Impact factor: 5.046

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Authors:  Min Wu; Keyu Yuan; Shuzhen Lyu; Yanping Li
Journal:  World J Surg Oncol       Date:  2022-06-24       Impact factor: 3.253

2.  Evaluation of Galanin Expression in Colorectal Cancer: An Immunohistochemical and Transcriptomic Study.

Authors:  Iman M Talaat; Nada M Yakout; Ahmed S A Soliman; Thenmozhi Venkatachalam; Arya Vinod; Leen Eldohaji; Vidhya Nair; Amal Hareedy; Alaa Kandil; Wael M Abdel-Rahman; Rifat Hamoudi; Maha Saber-Ayad
Journal:  Front Oncol       Date:  2022-05-30       Impact factor: 5.738

3.  Colorectal cancer patients exhibit increased levels of galanin in serum and colon tissues.

Authors:  Przemysław Kwiatkowski; Janusz Godlewski; Jacek Kieżun; Bartłomiej Emil Kraziński; Zbigniew Kmieć
Journal:  Oncol Lett       Date:  2016-08-23       Impact factor: 2.967

Review 4.  Colorectal Cancer Invasion and Atrophy of the Enteric Nervous System: Potential Feedback and Impact on Cancer Progression.

Authors:  Janusz Godlewski; Zbigniew Kmiec
Journal:  Int J Mol Sci       Date:  2020-05-11       Impact factor: 5.923

5.  Galanin expression is down-regulated in patients with gastric cancer.

Authors:  Lei Zhang; Penghua Fang; Chenghua Chai; Lijuan Shao; Haiyan Mao; Dawei Qiao; Guimei Kong; Xiaoyun Dong; Mingyi Shi; Zhenwen Zhang; Ping Bo
Journal:  J Int Med Res       Date:  2019-01-07       Impact factor: 1.671

Review 6.  The Neuropeptide System and Colorectal Cancer Liver Metastases: Mechanisms and Management.

Authors:  Aldona Kasprzak; Agnieszka Adamek
Journal:  Int J Mol Sci       Date:  2020-05-15       Impact factor: 5.923

Review 7.  The Emerging Role of Nerves and Glia in Colorectal Cancer.

Authors:  Simone L Schonkeren; Meike S Thijssen; Nathalie Vaes; Werend Boesmans; Veerle Melotte
Journal:  Cancers (Basel)       Date:  2021-01-05       Impact factor: 6.639

8.  Identification of genes and critical control proteins associated with inflammatory breast cancer using network controllability.

Authors:  Ryouji Wakai; Masayuki Ishitsuka; Toshihiko Kishimoto; Tomoshiro Ochiai; Jose C Nacher
Journal:  PLoS One       Date:  2017-11-06       Impact factor: 3.240

9.  Distribution Patterns of Cocaine- and Amphetamine-Regulated Transcript- and/or Galanin-Containing Neurons and Nerve Fibers Located in the Human Stomach Wall Affected by Tumor.

Authors:  Anna Kozłowska; Janusz Godlewski; Mariusz Majewski
Journal:  Int J Mol Sci       Date:  2018-10-26       Impact factor: 5.923

10.  Development of a novel immune-related genes prognostic signature for osteosarcoma.

Authors:  Zuo-Long Wu; Ya-Jun Deng; Guang-Zhi Zhang; En-Hui Ren; Wen-Hua Yuan; Qi-Qi Xie
Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.379

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