Literature DB >> 28781649

Prognostic significance of LKB1 promoter methylation in cutaneous malignant melanoma.

Weiming Zhang1, Xiao Li1, Guoxin Song1, Dan Luo2.   

Abstract

Liver kinase B1 (LKB1) loss is a common occurrence in various types of human cancer, and promoter methylation has been hypothesized to be a major mechanism of LKB1 inactivation. The association between LKB1 gene promoter methylation status and tumor progression in cutaneous malignant melanoma (CMM) remains unknown. In the present study, the methylation status of the LKB1 promoter region was examined in 57 human cutaneous malignant melanomas and 50 benign skin lesion controls by methylation-specific polymerase chain reaction. Consequently, 12 (12/57) melanoma tissues exhibited LKB1 promoter methylation, while only 2 (2/50) benign lesions presented with LKB1 hypermethylation. The frequency of LKB1 promoter methylation in melanoma was significantly increased compared with the benign controls (P<0.05). Additional statistical analysis demonstrated that hypermethylation of the LKB1 gene was correlated with Breslow's thickness, presence of ulceration and American Joint Committee on Cancer stage (P<0.05). Additionally, Kaplan-Meier analysis revealed that LKB1 hypermethylation was significantly associated with poorer survival (P<0.01). Multivariate COX regression analysis indicated that LKB1 promoter methylation was an independent prognostic factor for overall survival in patients with melanoma.

Entities:  

Keywords:  liver kinase B1; melanoma; methylation; prognosis

Year:  2017        PMID: 28781649      PMCID: PMC5530115          DOI: 10.3892/ol.2017.6431

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Cutaneous malignant melanoma (CMM) is a type of skin cancer that originated from uncontrolled proliferation of melanocytes. CMM accounts for 80% of mortalities arising from skin cancer (1). Although the incidence of melanoma is low, the number of new melanoma cases has increased steadily in the recent years (2). The prognosis of melanoma remains poor due to its high potential for invasion and metastasis, and its resistance to conventional radiotherapy and chemotherapy (3). Therefore, identifying novel molecular markers for the assessment of prognoses of cutaneous malignant melanoma, or as novel targeted therapeutic agents, will be beneficial for patients with melanoma. The liver kinase B1 gene (LKB1), also known as STK11, was originally identified as the causative gene of Peutz-Jeghers syndrome, an autosomal dominant inherited disorder characterized by mucosal gastrointestinal polyps and an increased risk of malignant tumors (4). As a tumor suppressor gene, LKB1 suppresses tumor cell growth, induces cell death and inhibits tumor cell metastasis (5). Several studies have demonstrated that the loss of LKB1 promotes metastasis in a number of tumor cell types, including melanoma cells (6–8). At present, LKB1 inactivation mechanisms remain controversial. LKB1 mutations were detected in certain types of sporadic cancers, including lung adenocarcinoma and cervical carcinoma (9). However, only 10% of patients with cutaneous melanoma have reported to exhibit mutations in the LKB1 gene, which means that genetic mutation is not the major mechanism for LKB1 gene inactivation, and there may be other mechanisms that mediate the lack of LKB1 expression (10–11). Epigenetic alteration of tumor suppressor genes by aberrant methylation in promoter CpG islands has been acknowledged as an important mechanism for inactivation of gene expression (12–16). Previously, several studies have identified that hypermethylation of the LKB1 promoter region may be detected in certain cancer cell lines and primary tumor samples. Correspondingly, LKB1 transcripts were not detected, and treatment with the demethylating agent 5-aza-2′-deoxycytidine was able to restore LKB1 gene expression in these cells (17). Whether epigenetic alteration of the LKB1 gene leads to an inactivation of LKB1 and a lack of LKB1 expression in melanoma remains unclear. The aim of the present study was to investigate the status of LKB1 promoter methylation in human cutaneous melanoma and to evaluate the associations between aberrant LKB1 promoter methylation with clinicopathological features and prognosis in patients with melanoma.

Materials and methods

Tissue specimen preparations

A total of 57 cases of melanoma and 50 cases of benign lesion controls (including dysplastic nevi and common nevi, the ratio of males:females was 32/25, mean age of all patients was 59.3±0.4.) were selected from archived formalin-fixed paraffin embedded (FFPE) tissue blocks from The First Affiliated Hospital of Nanjing Medical University (Nanjing, China) between January 2003 and December 2010. Prior to sectioning, all archived tissue slides were reviewed by two experienced pathologists using a multi-head light microscope (Nikon 80i; Nikon Corporation; Tokyo, Japan). The tumors were classified according to the American Joint Committee on Cancer (AJCC) staging system (18–19). Melanoma Breslow's thicknesses (20) were divided into 2 categories (< or = 2.00, and >2.00 mm). Detailed clinicopathological parameters, summarized in Table I, were obtained from the medical records or pathology examination reports of patients. The follow-up time was from the date of diagnosis to the date of mortality or the end of follow-up (5 years). Identifiable patient data (name and other private data) were anonymized during the study process. The ethics committee of The First Affiliated Hospital of Nanjing Medical University approved the study design, including the use of all tissue blocks from patients.
Table I.

Liver kinase B1 promoter methylation in melanoma and benign skin lesions.

Methylation

GroupPositiveNegativeP-value
Melanoma tissue1245<0.05
Benign skin lesion  248

Immunohistochemistry (IHC) detection

The level of LKB1 expression was detected by IHC in 57 FFPE melanoma and 50 benign control tissues. Standard immunohistochemical protocol was used. Paraffin (thickness, 4 µm) sections from each specimen were heated at 70°C for 60 min and then deparaffinized with xylene. The sections were hydrated with a gradient of ethanol and immersed in 10 mM pH 6.0 boiling citrate buffer in an autoclave for 15 min for antigen retrieval. Subsequent to blocking with goat serum for 10 min at room temperature, the slides were incubated with a monoclonal rabbit anti-LKB1 antibody (cat. no. ab15095; dilution, 1:250; Abcam, Cambridge, UK) overnight at 4°C in a humidified chamber. The slides were rinsed, and then incubated with ready-to-use horseradish peroxidase-conjugated universal secondary antibody (cat. no. K5007; Dako; Agilent Technologies, Inc., Santa Clara, CA USA) for 15 min at room temperature. The chromogenic reaction was developed by incubating the slides with 3,3′-diaminobenzidine and counterstained with hematoxylin for 3 min. The slides were also incubated with non-immune serum (cat. no. ab7481; Abcam) overnight at 4°C as negative controls. LKB1 staining was distributed in the nucleus and cytoplasm, and scored by two pathologists based on the percent of positively stained cells and staining intensity. The percentage of positive staining was scored as: 0, 0%; 1, 0–20%; 2, 20–50%; or 3, >50%, and the intensity as: 0, no staining; 1, weak staining and visible at high magnification (×400; Nikon 50i, Nikon Corporation); 2, moderate staining and visible at low magnification (×100) and 3, dark staining, visible at low magnification. The total immunostaining score was calculated by multiplying the staining intensity score (range, 0–9) by the score for the percentage of positive staining, as described previously (21). The specimens can be classified into two groups based on LKB1 expression: Low expression (score, 0–3) and high expression (score, 4–9).

Extraction of nucleic acids and quantitative reverse transcription polymerase chain reaction (RT-qPCR)

QIAamp DNA FFPE Tissue kit (cat. no. 56404) was used to isolate genomic DNA from FFPE tissues. The hematoxylin and eosin stained slides were first reviewed by pathologists, and the areas of interest were circled to guide macro-dissection of the tumor tissue. In total, ≤8 deparaffinized, unstained sections (thickness, 5–10 µm) were scraped in a polypropylene micro-centrifuge tube, and subsequently processed according to the manufacturer's instructions (22). The quality and integrity of the DNA were measured by electrophoresis on 0.8% agarose gels. The DNA samples were quantified spectrophotometrically and stored at −20°C for subsequent testing. Total RNA from melanoma tissues were extracted using the QIAamp RNeasy FFPE kit (cat no. 73504; Qiagen, Inc., Valencia, CA, USA), The isolation was performed according to the manufacturer's protocol. RNA purity was assessed using the A260/A280 ratio with a SmartSpec Plus spectrophotometer (Bio-Rad Laboratories, Inc., Hercules, CA, USA). Total RNA (1 µg) was reverse transcribed into cDNA using the QIAamp QuantiTect Reverse Transcription kit (cat no. 205313; Qiagen, Inc.). RT-qPCR reaction was performed with a QuantiNova SYBR Green RT-PCR kit (cat no. 208152; Qiagen, Inc.) using the Agilent 3000 Real-Time PCR system (Agilent Technologies, Inc.). Human LKB1 and GAPDH primers were as follows: LKB1 forward, 5′-AGGGATGCTTGAGTACGAACC-3′ and reverse, 5′-GTCCTCCAAGTACGGCACC-3′; GAPDH forward, 5′-CAAGATCATCAGCAATGCCT-3′ and reverse, 5′-TCATGAGTCCTTCCACGATAC-3′. GAPDH was used as an internal control. The relative mRNA expression of LKB1 was normalized to GAPDH and calculated by using the comparative cycle threshold (Ct) method (23). All experiments were replicated three times.

Methylation-specific PCR

Methylation-specific PCR (MSP) was used to detect promoter methylation. The QIAamp EpiTect Fast DNA Bisulfite kit (cat. no. 59824; Qiagen, Inc.) was used to convert DNA samples (≥2 µg). The sequences of the unmethylated template primers were: forward, 5′-TTTGTGTTTTGATGTTTTAGGTTTTTGT-3′ and reverse primer, 5′-AACTCCACACTCTTCCAAAAACAAAACA-3′. The sequences of the methylated template primers were: Forward, 5′-TTTCGACGTTCGTAGGTTTTCGC-3′ and reverse, 5′-GCACTCTTCCGAAAACGAAACG-3′. The PCR amplification conditions were as follows: An initial denaturation step at 95°C for 5 min, followed by 35 cycles at 94°C for 50 sec, 59°C for 50 sec, 72°C for 50 sec and a final extension at 72°C for 10 min.

Statistical analysis

Statistical analyses were performed using SPSS version 19.0 (IBM Corp., Armonk, NY, USA) software. Comparisons of LKB1 methylation status with clinicopathological characteristics were made using contingency table χ2 test. The Spearman rank correlation was used to analyze the LKB1 expression at mRNA and protein levels with LKB1 methylation status. Survival curves were estimated using the Kaplan-Meier method, and the log-rank test was used to compare the difference. Multivariate analysis was performed using the Cox proportional hazard models with a confidence interval of 95% to examine whether LKB1 promoter methylation was an independent prognostic factor for 5-year overall survival rates (OS). The Kruskal-Wallis test was used to compare LKB1 expression between melanoma and benign lesions, methylated melanoma and the unmethylated. All P-values were two-sided, and P<0.05 was considered to indicate a statistically significant difference.

Results

LKB1 promoter methylation status in human cutaneous melanoma tissues

LKB1 promoter methylation was performed successfully in all cases. It was identified that 12/57 cases exhibited methylation amplification in melanoma tissues, while 2/50 benign controls displayed LKB1 promoter methylation. The frequency of LKB1 promoter methylation was significantly increased in melanoma tissues compared with benign skin controls (χ2=6.747, P<0.05; Table I).

LKB1 promoter methylation is correlated with LKB1 mRNA and protein expression

RT-qPCR was performed successfully in 50 (50/57) melanoma tissues. LKB1 mRNA expression level (LKB1/GAPDH) in the methylated melanoma tissues (range, 0.112–2.524; mean, 0.675) was reduced compared with the unmethylated melanoma tissues (range, 0.522–3.311; mean, 1.541; P<0.05). In melanoma tissues, LKB1 mRNA expression was correlated with LKB1 promoter methylation status (r=0.354; P<0.05; data not shown). LKB1 protein expression was localized in the cytoplasm (Fig. 1). Of the 57 melanoma tissues and 50 benign controls, LKB1 expression was demonstrated in 36 and 44 cases, respectively. In the 12 cases of LKB1-methylated melanoma, 6 cases demonstrated LKB1 expression. Notably, significant differences in LKB1 expression were observed between benign lesions with melanomas, and between LKB1 methylated melanomas and unmethylated melanoma (P<0.05, Kruskal-Wallis test; Fig. 2A and B, respectively). In the melanoma cases, LKB1 protein expression determined by IHC was correlated with the status of LKB1 promoter methylation (r=0.473; P<0.01; data not shown).
Figure 1.

Representative images of LKB1 expression in melanoma tissues and benign skin lesion tissues as detected by immunohistochemical staining. (A) Dark LKB1 staining identified in benign skin lesion tissue. Magnification, ×100. (B) Weak LKB1 staining identified in benign skin lesion tissue. Magnification, ×100. (C) Moderate LKB1 staining identified in LKB1-methylated melanoma tissue. Magnification, ×200. (D) Dark LKB1 staining identified in LKB1 unmethylated melanoma tissue. Magnification, ×200. LKB1, liver kinase B1.

Figure 2.

(A) Differences in LKB1 mRNA expression between melanoma and benign lesions. (B) Differences in LKB1 expression between LKB1 methylated melanoma and unmethylated melanoma (n=57; P<0.05; Kruskal-Wallis test). LKB1, liver kinase B1.

Associations between LKB1 promoter methylation and clinicopathological factors

Patient information (age, sex, and location of melanoma) and clinicopathological parameters are detailed in Table II. Statistical analysis revealed that LKB1 promoter methylation was closely associated with tumor Breslow's thickness (P=0.021), the presence of ulceration (P=0.002) and AJCC stage (P=0.006). In the present study, no significant correlations between LKB1 promoter methylation and tumor location, age, sex or tumor subtype were observed (Table II).
Table II.

Association between LKB1 promoter methylation and different clinicopathological parameters in 57 melanoma cases.

LKB1

ParameterNMethylatedUnmethylatedχ2P-value
Age at diagnosis1.2010.273
  ≤6030  822
  >6027  423
Sex0.0300.863
  Male32  725
  Female25  520
Location0.0050.945
  Sun-protected[a]28  622
  Sun-exposed[b]29  623
Breslow's thickness, mm5.2910.021
  ≤231  328
  >226  917
Ulceration9.6190.002
  Absent32  230
  Present251015
Tumor subtype1.6790.642
  ALM15  213
  SSM12  210
  LMM14  311
  Mucosal16  511
AJCC stage8.6610.006
  I/II39  435
  III/IV18  810

Sun-protected sites: Trunk, arm, leg, and feet.

Sun-exposed sites: Head and neck. AJCC, American Joint Committee on Cancer; LKB1, Liver kinase B1; ALM, acral lentiginous melanoma; SSM, superficial spreading melanoma; LMM, lentigo maligna melanoma.

Prognostic analysis of melanoma patients with LKB1 promoter methylation

To investigate the prognostic significance of LKB1 promoter methylation in melanoma, Kaplan-Meier survival analysis and log-rank tests were used to assess the association between LKB1 promoter methylation and information on follow-up of patients. It was identified that patients with LKB1 methylation exhibited a significantly shorter overall 5-year OS duration compared with those with unmethylated LKB1 (P<0.05; Fig. 3). Concurrently, methylation and presence of ulceration were all associated with prognosis of CMM (P<0.05; Table III). Age, sex, location, Breslow's thickness and tumor subtype were not associated with prognosis of CMM (P>0.05; Table III). Further multivariate Cox regression analysis indicated that LKB1 promoter methylation was an independent prognostic predictor of overall 5-year survival in melanoma patients (Table III).
Figure 3.

Kaplan-Meier survival curve of 5-year overall survival based on LKB1 promoter methylation status. LKB1, liver kinase B1.

Table III.

Multivariate Cox regression analysis of 5-year overall survival in melanoma patients with LKB1 promoter methylation.

VariableB[a]Standard errorP-valueHazard ratio95% confidence interval
Age  0.0970.4410.8261.1020.464–2.615
Sex  0.4950.3830.1961.6410.774–3.478
Tumor location−0.3260.3990.4150.7220.330–1.580
Breslow's thickness−0.4660.5010.3520.6270.235–1.674
Ulceration1.020.4810.0342.7731.081–7.111
Tumor subtype−0.0650.1960.740.9370.639–1.375
AJCC stage−0.7180.5710.2090.4880.159–1.494
Methylation  1.3050.6060.0313.688  1.124–12.100

Regression coefficient.

Discussion

LKB1, also known as serine/threonine kinase, was identified as a crucial tumor suppressor gene in numerous types of tumors and cancer cells (4–5). Through activation of multiple signaling pathways, LKB1 functions to regulate cellular growth, energy metabolism and polarity in a number of tissues (24,25). A previous study demonstrated that the loss of LKB1 serves an important role in tumor initiation and progression (26). At present, the loss of LKB1 in different human tumors is involved in a combination of three molecular mechanisms, including mutation, loss of heterozygosity (LOH) and epigenetic modification (8). Although LKB1 gene mutation was hypothesized as the primary mechanism of LKBI inactivation in Peutz-Jeghers syndrome (PJS) or PJS-associated tumors, results from Avizienyte et al (27) suggested that mutational inactivation of LKB1 is a rare event in the majority of sporadic tumor types. As the primary epigenetic modification in humans, promoter methylation has been demonstrated in number of tumor and cell types. Trojan et al (28) confirmed that the 5′-CpG islands of the LKB1 promoter region were methylated when analyzing a large series of paraffin embedded colorectal cancer specimens. Esteller et al (29) also demonstrated LKB1 promoter methylation in primary colorectal cancer specimens and suggested that LKB1 promoter methylation may mediate the inactivation of LKB1. To investigate the status of LKB1 promoter methylation in human cutaneous melanoma, the present study first examined LKB1 promoter methylation in melanoma tissues and benign skin lesion tissues by MSP. Of the 57 cases, 12 cases of melanoma tissues exhibited LKB1 promoter methylation, and the frequency of LKB1 promoter methylation in melanoma tissues was significantly increased compared with benign skin lesion tissues. The association between LKB1 promoter methylation and different clinicopathological parameters was investigated. It was demonstrated that LKB1 methylation status was significantly associated with Breslow's thickness (P<0.05), the presence of ulceration (P<0.01) and AJCC stage (P<0.01). The prognosis survival difference between the patients with LKB1 promoter methylation and the patients without methylation was also analyzed. The average duration of 5-year OS in patients with LKB1 methylation was significantly shorter compared with patients without LKB1 methylation. In addition, it was identified that LKB1 expression was markedly reduced in cutaneous melanoma tissues compared with benign skin lesions. In melanoma tissues, downregulated LKB1 expression was associated with its methylation status. In conclusion, the results of the present study suggest that LKB1 gene promoter methylation in cutaneous melanoma was associated with clinicopathological parameters, and LKB1 may be an independent prognosis predicator. It was also demonstrated that downregulated LKB1 expression may be associated with LKB1 methylation. However, there are several limitations with the present study, including the use of a small sample size and a retrospective study design. The data need to be extensively evaluated in larger sample sizes and in multi-centric studies. The role of LKB1 mutations and LOH in cutaneous melanoma requires confirmation, and it is possible that LKB1 loss is caused by a combination of factors.
  29 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Tumor suppressor function of Liver kinase B1 (Lkb1) is linked to regulation of epithelial integrity.

Authors:  Johanna I Partanen; Topi A Tervonen; Mikko Myllynen; Essi Lind; Misa Imai; Pekka Katajisto; Gerrit J P Dijkgraaf; Panu E Kovanen; Tomi P Mäkelä; Zena Werb; Juha Klefström
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-20       Impact factor: 11.205

Review 3.  The pathology of melanoma.

Authors:  Clay J Cockerell
Journal:  Dermatol Clin       Date:  2012-06-13       Impact factor: 3.478

Review 4.  The LKB1 tumor suppressor kinase in human disease.

Authors:  Pekka Katajisto; Tea Vallenius; Kari Vaahtomeri; Niklas Ekman; Lina Udd; Marianne Tiainen; Tomi P Mäkelä
Journal:  Biochim Biophys Acta       Date:  2006-08-16

5.  Analysis of LKB1 mutations and other molecular alterations in pancreatic acinar cell carcinoma.

Authors:  Roeland F de Wilde; Niki A Ottenhof; Marnix Jansen; Folkert H M Morsink; Wendy W J de Leng; G Johan A Offerhaus; Lodewijk A A Brosens
Journal:  Mod Pathol       Date:  2011-05-13       Impact factor: 7.842

Review 6.  [Primary cutaneous melanoma: prognostic factors not included in the classification of the American Joint Committee on Cancer].

Authors:  A Tejera-Vaquerizo; E Solís-García; J J Ríos-Martín; D Moreno-Ramírez
Journal:  Actas Dermosifiliogr       Date:  2011-03-25

7.  Somatic mutation of the Peutz-Jeghers syndrome gene, LKB1/STK11, in malignant melanoma.

Authors:  P Guldberg; P thor Straten; V Ahrenkiel; T Seremet; A F Kirkin; J Zeuthen
Journal:  Oncogene       Date:  1999-03-04       Impact factor: 9.867

8.  Loss of LKB1 disrupts breast epithelial cell polarity and promotes breast cancer metastasis and invasion.

Authors:  Juan Li; Jie Liu; Pingping Li; Xiaona Mao; Wenjie Li; Jin Yang; Peijun Liu
Journal:  J Exp Clin Cancer Res       Date:  2014-09-02

9.  LKB1 loss at transcriptional level promotes tumor malignancy and poor patient outcomes in colorectal cancer.

Authors:  Tsung-Ying He; Lung-Hung Tsai; Chi-Chou Huang; Ming-Chih Chou; Huei Lee
Journal:  Ann Surg Oncol       Date:  2014-05-31       Impact factor: 5.344

10.  Association between tumor size and Breslow's thickness in malignant melanoma: a cross-sectional, multicenter study.

Authors:  David Moreno-Ramírez; Teresa Ojeda-Vila; Juan J Ríos-Martín; Adoración Nieto-García; Lara Ferrándiz
Journal:  Melanoma Res       Date:  2015-10       Impact factor: 3.599

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Authors:  Yaowen Song; Fangkun Zhao; Wei Ma; Guang Li
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