Literature DB >> 31917882

LGR6 is a potential diagnostic and prognostic marker for esophageal squamous cell carcinoma.

Tianci Chai1,2, Zhimin Shen1, Zhenyang Zhang1, Sui Chen1, Lei Gao1, Peipei Zhang1, Wenwei Lin1, Mingqiang Kang1,3, Jiangbo Lin1.   

Abstract

BACKGROUND: Leucine-rich repeat-coupled receptor 6 (LGR6) is a marker of the skin, nails, and other types of adult tissue stem cells and has been widely found to be related to the development and progression of a variety of cancer types. The clinical significance and biological function of LGR6 in esophageal squamous cell carcinoma (ESCC) have not been determined.
METHODS: The expression of LGR6 at the transcriptional level was analyzed by searching the TCGA and UCSC data sets. Immunohistochemistry, WB, and q-PCR were used to detect the expression of LGR6 in ESCC and adjacent normal tissues. LGR6 PPI networks and KEGG pathways were used to analyze the potential biological functions of LGR6.
RESULTS: The expression of LGR6 in ESCC tissues was significantly higher than that in normal tissues and was negatively correlated with the differentiation degree of ESCC and the prognosis of the patients but not closely correlated with the TNM stage of ESCC. PPI networks showed that LGR6 had a close interaction with RSPO1, RSPO2, RSPO3, and RSPO4. KEGG pathway analysis showed that LGR6 activated the Wnt/β-catenin signaling pathway by binding with RSPO ligands to promote the progression of ESCC.
CONCLUSION: LGR6 can serve as a potential diagnostic and prognostic marker for ESCC.
© 2019 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc.

Entities:  

Keywords:  LGR6; esophageal squamous cell carcinoma; immunohistochemistry; prognosis

Mesh:

Substances:

Year:  2020        PMID: 31917882      PMCID: PMC7171331          DOI: 10.1002/jcla.23121

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


American Joint Committee on Cancer esophageal squamous cell carcinoma Kyoto encyclopedia of genes and genomes leucine‐rich‐repeat‐coupled receptor 6 protein‐protein interaction search tool for the retrieval of interacting genes the cancer genome atlas University of California Santa Cruz Western blot

INTRODUCTION

Esophageal cancer is one of the most common malignant tumors in the world, and its incidence ranks seventh among those of all malignant tumors.1 Esophageal cancer can be divided into two pathological types: squamous cell carcinoma (SCC) and adenocarcinoma. Esophageal squamous cell carcinoma (ESCC) is the most common type of esophageal cancer in Asian countries, accounting for approximately 80% of all esophageal cancers.2 Gastroscopy is an effective diagnostic method for esophageal cancer, but most of the patients are in an advanced stage at diagnosis. Even with active surgery and neoadjuvant therapy, the prognosis is still poor. The identification of new, reliable diagnostic, and targeted therapeutic molecular biomarkers associated with the clinical factors of esophageal cancer is critical.3 Leucine‐rich repeat‐containing G protein–coupled receptors (LGRs) are a subgroup of the seven‐transmembrane G protein‐coupled superfamily that regulates various physiological processes associated with various diseases,4 and its member LGR4‐6 has high homology.5 Many studies have recently explored the biological functions of LGR4‐6 in various human cancer types.6, 7, 8, 9, 10, 11, 12 LGR4‐6 plays an important role in activating the Wnt/β‐catenin pathway by binding with R‐spondin (RSPO) ligands, which are closely related to tumor progression and invasion.10, 11, 12 LGR6 plays a pivotal role in adult stem cells, which are markers of various types of adult stem cells in the skin, nails, and a group of basal and intraluminal progenitors that induce luminal tumorigenesis.13, 14 LGR6 can promote the self‐renewal and progression of non–small‐cell lung cancer and has strong carcinogenic potential.15 LGR6 is highly expressed in gastric and colon cancer tissues and is associated with local tumor growth.16, 17 Recent studies have shown that LGR6 enhances stemness and chemoresistance in ovarian cancer cells by activating the Wnt/β‐catenin signaling pathway.18 However, to date, there has been no research on the correlation between the expression of LGR6 at the protein level and clinical‐pathological factors and prognostic features in patients with ESCC. In this study, we evaluated the clinical significance of LGR6 expression in 102 patients with ESCC and analyzed its association with clinicopathological features and patient survival. We explored the functional effects and potential molecular mechanisms of LGR6 on ESCC progression by using the University of California Santa Cruz (UCSC) and the Cancer Genome Atlas (TCGA) data, constructing a protein‐protein interaction (PPI) network and performing Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.

MATERIALS AND METHODS

Clinical samples

During the surgical resection of esophageal cancer at Fujian Medical University Union Hospital (Fuzhou, China) from January 2009 to December 2011, ESCC samples and their corresponding non‐tumor esophageal tissues were collected (n = 102). Tissues were immediately frozen in liquid nitrogen and stored in a −80°C freezer or fixed in 10% formalin for paraffin embedding. All samples were collected with informed consent of the patients, and the study was approved by the institutional review committee and regulatory authorities of Fujian Medical University. The pathological diagnosis was based on the World Health Organization (WHO) classification, and the clinical‐pathological staging was based on the American Joint Committee on Cancer (AJCC) classification. No patient received chemotherapy or radiation before surgery. The median follow‐up time for overall survival was 43.5 months (range 1‐60 months). The characteristics of the 102 patients with ESCC are summarized in Table 1. The raw clinical data of the patients are shown in Table S1.
Table 1

Association between the expression of LGR6 and clinicopathological factors (n = 102)

CharacteristicsValue/number of patientsLow expression no (%)High expression no (%) P value
Age median (range), year64 (47‐79)   
Gender
Male6126 (42.62)35 (57.38).183
Female4113 (31.71)28 (68.29)
Age, year
<603315 (45.45)18 (54.55).181
≧606924 (34.78)45 (65.22)

Tumor nodes

Metastases category

T1‐T23514 (40.00)21 (60.00).478
T3‐T46725 (37.31)42 (62.69)
N05521 (38.18)34 (61.82).576
N1‐N34718 (38.30)29 (61.70)
M010239 (38.24)63 (61.76)/
M1000
American Joint Committee on Cancer category
1810 (55.56)8 (44.44).112
4011 (27.50)29 (72.50)
4418 (40.91)26 (59.09)
Differentiation
High4126 (63.41)15 (36.59) <.001 *
Middle3910 (25.64)29 (74.36)
Low223 (13.64)19(86.36)
5‐y survival
Yes4024 (60.00)16 (40.00) <.001 *
No6215 (24.19)47(75.81)

Bold values indicate statistical significance with P < .05.

Association between the expression of LGR6 and clinicopathological factors (n = 102) Tumor nodes Metastases category Bold values indicate statistical significance with P < .05.

RNA extraction, reverse transcription, and real‐time quantitative PCR

Total RNA was extracted from frozen tissue using TRIzol reagent (Ambion) according to the manufacturer's instructions, and 1 mg of RNA was reverse transcribed for first complementary DNA strand synthesis using a miScript Reverse Transcription Kit (Qiagen). Real‐time quantitative PCR was performed using a SYBR Premix EX Taq Kit (Takara). The relative mRNA expression of LGR6 was detected with the 2−ΔΔct method using specific primers, and its expression level was normalized to that of endogenous β‐actin. All primers were designed by BioSune Biotechnology Co., Ltd. The sequences of the primers used are as follows: LGR6: 5′‐TGGGGAACCCTCTGCTACAG‐3′ (forward) and 5′‐CAGGTACTGGAATGCCGATCT‐3′ (reverse); and β‐actin: 5′‐CTCCATCCTGGCCTCGCTGT‐3′ (forward) and 5′‐GCTGTCACCTTCACCGTTCC‐3′ (reverse).

Western blot analysis

Tissues were lysed in Western and radioimmunoprecipitation assay (RIPA) tissue lysis buffer (Beyotime) supplemented with phenylmethylsulfonyl fluoride (PMSF; Amresco) on ice for 30 minutes and then centrifuged at 12 000 rpm at 4°C for 10 minutes. The supernatant was collected as the total protein, and then, the protein concentration was determined using a BCA Protein Assay Kit (Thermo Scientific). The same amount (60 μg) of protein in each well was separated by 10% sodium dodecyl sulphatepolyacrylamide gel electrophoresis (SDS‐PAGE) and transferred to a 0.45‐μm polyvinylidene fluoride (PVDF) membrane (Amersham Hybond, GE Healthcare). The PVDF membrane was then blocked with 0.5% bovine serum albumin (Amresco) followed by incubation overnight at 4°C with primary antibodies against LGR6 (1:2000, Abcam) and β‐actin (1:2000, Abcam). The PVDF membrane was then washed three times for 10 minutes each in Tris‐buffered saline Tween (TBST) at room temperature and then incubated with the secondary antibody for 1 hour at room temperature. The protein imprint was developed by enhanced chemiluminescence (Lulong Biotech).

Immunohistochemistry (IHC)

ESCC and adjacent normal tissues from 102 patients were fixed with formalin and embedded in paraffin, followed by IHC studies using a human anti‐LGR6 antibody (1:200, Abcam). The degree of LGR6 staining was calculated and quantified according to the following aspects: score of stained tumor cells (0, ≤5% positive stained cells; 1, 5%‐25% positive stained cells; 2, 26%‐50% positive stained cells; 3, 51%‐75% positive stained cells; and 4, ≤75% positive stained cells) multiplied by the staining intensity score (0, no staining; 1, weak staining, light yellow; 2, moderate staining, yellowish brown; and 3, strong dye, brown) to obtain the final score. A final score of 3 or lower was classified as low expression, and a final score of 4‐12 points was classified as high expression. The above scoring process was completed by two pathologists (Xinjian Lin and Wannan Chen) in an independent blinded manner. Before an agreement was reached, the two pathologists discussed any inconsistent scores.

LGR6 RNA‐seq analysis based on UCSC and TCGA data

Differences in the mRNA expression of LGR6 in different normal tissues, as well as in different cancer tissues and the corresponding adjacent normal tissues, were investigated by searching the UCSC (http://genome.ucsc.edu/) and TCGA (http://cancergenome.nih.gov) databases.

PPI network construction

Using the Search Tool for the Retrieval of Interacting Genes (STRING) database (http://www.string-db.org/), a PPI network related to LGR6 was established. The interactions procured included known interactions and predicted interactions.

KEGG pathway analysis

The signaling pathways involving LGR6 were determined with the KEGG pathway database (https://www.kegg.jp/kegg/pathway.html), and the function of the LGR6 gene was analyzed.

Statistical analysis

Statistical analysis was performed using SPSS 24.0 for Windows (SPSS, Inc). Student's t test was used to test the significance of the differences between each of the two groups. All data are expressed as the mean ± standard deviation (SD) of three independent assays. The association between LGR6 expression and the clinicopathological features of ESCC patients was analyzed using the Pearson chi‐square test. The survival curve was plotted using the Kaplan‐Meier method. When P < .05, the difference was considered to be significant.

RESULTS

LGR6 expression is significantly higher in ESCC tissues than in normal tissues

First, we searched the UCSC data set. Among the 53 tissues obtained from 8555 samples (570 donors), LGR6 mRNA expression was highest in the artery‐aorta, and its expression in esophageal tissue was relatively low (Figure 1). Next, we studied the expression differences in LGR6 mRNA in 31 human cancers compared with normal tissues based on the TCGA and UCSC data sets and found that LGR6 mRNA expression was significantly higher in colon adenocarcinoma (COAD), esophageal carcinoma (ESCA), glioblastoma multiforme (GBM), ovarian serous cystadenocarcinoma (OV), pancreatic adenocarcinoma (PAAD), rectum adenocarcinoma (READ), and stomach adenocarcinoma (STAD) tissues than in the corresponding normal tissues (Figure 2). The above finding was based on the UCSC and TCGA data sets using high‐ or low‐throughput sequencing as a means of studying the expression of LGR6. Western blot analysis and qRT‐PCR confirmed the increased LGR6 protein and mRNA levels in esophageal cancer tissues compared with adjacent normal tissues (Figure 3).
Figure 1

Gene expression in 53 tissues from GTEx RNA‐seq of 8555 samples (570 donors; LGR6). Homo sapiens leucine‐rich repeat containing G protein–coupled receptor 6 (LGR6), transcript variant 2, mRNA (from RefSeq NM_021636). LGR6 mRNA expression in the artery‐aorta median is the highest, and its expression in esophageal tissue is relatively low

Figure 2

Gene expression profile across all tumor samples and paired normal tissues (Bar plot). The height of the bar represents the median expression of certain tumor types or normal tissue. LGR6 mRNA expression in colon adenocarcinoma (COAD; N: n = 349, T: n = 275), esophageal carcinoma (ESCA; N: n = 286, T: n = 181), glioblastoma multiforme (GBM; N: n = 207, T: n = 163), ovarian serous cystadenocarcinoma (OV; N: n = 88, T: n = 426), pancreatic adenocarcinoma (PAAD; N: n = 171, T: n = 179), rectum adenocarcinoma (READ; N: n = 318, T: n = 92), and stomach adenocarcinoma (STAD; N: n = 211, T: n = 408) is significantly higher than in the corresponding normal tissue

Figure 3

LGR6 expression in ESCC was significantly higher than that in the corresponding non‐cancerous mucosal tissues. Western blot analysis (A and B) and real‐time qPCR (C) results showing the protein and mRNA levels of LGR6 in ESCC tissues and the corresponding non‐cancerous mucosal tissues from twelve randomly chosen patients. β‐Actin serves as the loading control. N and NT represent non‐cancerous normal tissue, and T represents tumor tissue

Gene expression in 53 tissues from GTEx RNA‐seq of 8555 samples (570 donors; LGR6). Homo sapiens leucine‐rich repeat containing G protein–coupled receptor 6 (LGR6), transcript variant 2, mRNA (from RefSeq NM_021636). LGR6 mRNA expression in the artery‐aorta median is the highest, and its expression in esophageal tissue is relatively low Gene expression profile across all tumor samples and paired normal tissues (Bar plot). The height of the bar represents the median expression of certain tumor types or normal tissue. LGR6 mRNA expression in colon adenocarcinoma (COAD; N: n = 349, T: n = 275), esophageal carcinoma (ESCA; N: n = 286, T: n = 181), glioblastoma multiforme (GBM; N: n = 207, T: n = 163), ovarian serous cystadenocarcinoma (OV; N: n = 88, T: n = 426), pancreatic adenocarcinoma (PAAD; N: n = 171, T: n = 179), rectum adenocarcinoma (READ; N: n = 318, T: n = 92), and stomach adenocarcinoma (STAD; N: n = 211, T: n = 408) is significantly higher than in the corresponding normal tissue LGR6 expression in ESCC was significantly higher than that in the corresponding non‐cancerous mucosal tissues. Western blot analysis (A and B) and real‐time qPCR (C) results showing the protein and mRNA levels of LGR6 in ESCC tissues and the corresponding non‐cancerous mucosal tissues from twelve randomly chosen patients. β‐Actin serves as the loading control. N and NT represent non‐cancerous normal tissue, and T represents tumor tissue We used IHC to study LGR6 expression in ESCC tissues and the corresponding adjacent normal tissues (NT) in 102 patients. Representative staining images of LGR6 expression are shown in Figure 4A. Positive immunoreactivity in ESCC was mainly localized in the cell membrane, cytoplasm and extracellular matrix, and the cell membrane, cytoplasm and extracellular matrix were rarely stained in normal tissues. The expression of LGR6 was significantly higher in ESCC tissue than its corresponding adjacent normal tissue (paired t test P < .001; Figure 4B; Table 2). The lower the differentiation level of the ESCC was, the higher the expression of LGR6 was (Figure 4C).
Figure 4

Expression of LGR6 in ESCC and normal esophageal tissues. (A) NT represents normal esophageal mucosal tissue, ESCC represents esophageal squamous cell carcinoma; (B) LGR6 expression in ESCC is higher than in the adjacent normal esophageal mucosal tissue (paired T‐test, P < .001); (C) IHC showing the relationship between the degree of differentiation of ESCC and the corresponding expression of LGR6

Table 2

LGR6 expression in 102 pairs of ESCC samples and their corresponding adjacent normal mucosal tissue

TissuesNumber of patientsLGR6 P value
Low expressionHigh expression
ESCC10239 (38.24)63 (61.76) <.001 *
NT10297 (95.10)5 (4.90) 

Bold values indicate statistical significance with P < .05.

Expression of LGR6 in ESCC and normal esophageal tissues. (A) NT represents normal esophageal mucosal tissue, ESCC represents esophageal squamous cell carcinoma; (B) LGR6 expression in ESCC is higher than in the adjacent normal esophageal mucosal tissue (paired T‐test, P < .001); (C) IHC showing the relationship between the degree of differentiation of ESCC and the corresponding expression of LGR6 LGR6 expression in 102 pairs of ESCC samples and their corresponding adjacent normal mucosal tissue Bold values indicate statistical significance with P < .05.

LGR6 expression is associated with ESCC patient survival and prognosis

We analyzed the association between LGR6 expression and clinical features in 102 ESCC patients. Thirty‐nine (38.24%) patients showed low LGR6 expression, and 63 (61.76%) showed high LGR6 expression. LGR6 expression had no obvious correlation with clinical‐pathological variables, including sex (P = .183), age (P = .181), tumor node metastasis category (T, P = .478; N, P = .576), or clinical stage (P = .112). LGR6 expression was significantly negatively correlated with 5‐year survival (P < .001) and differentiation status (Table 1). Kaplan‐Meier survival analysis showed that the 5‐year survival of ESCC patients with high LGR6 expression was significantly lower than that of ESCC patients with low LGR6 expression (log‐rank test, P < .001; Figure 5).
Figure 5

Low expression of LGR6 indicates a longer overall survival of patients with ESCC cancer. Kaplan‐Meier analysis was performed on ESCC patients with high and low expression of LGR6 by the log‐rank test (P < .001), and the results show that low expression of LGR6 was correlated with better overall survival of ESCC patients

Low expression of LGR6 indicates a longer overall survival of patients with ESCC cancer. Kaplan‐Meier analysis was performed on ESCC patients with high and low expression of LGR6 by the log‐rank test (P < .001), and the results show that low expression of LGR6 was correlated with better overall survival of ESCC patients

PPI network and KEGG pathway construction

PPI networks consist of nodes representing proteins and edges describing related interactions. A PPI network containing 87 nodes and 1528 edges of LGR6‐related genes was established. Figure 6A shows 36 nodes interacting with the first shell of LGR6. The minimum required interaction score was 0.41 (moderate confidence). Figure 6B shows the first ten proteins that interact with LGR6: RSPO1, RSPO2, RSPO3, RSPO4, ZNRF3, RNF43, LGR4, LGR5, UBC, and UBB. The minimum required interaction score was 0.905 (very high confidence). RSPO1, RSPO2, RSPO3, and RSPO4 (interaction score ≧0.967) are activators of the canonical Wnt signaling pathway by acting as a ligand for LGR4‐6 receptors. However, our KEGG pathway analysis also showed that LGR6 functions primarily through its participation in the Wnt/β‐catenin signaling pathway (Figure 7).
Figure 6

Protein‐protein interaction (PPI) network of LGR6‐related genes. The PPI network was drawn using STRING online. A, Shows 36 nodes interacting with the first shell of LGR6. The minimum required interaction score is 0.41 (moderate confidence). Disconnected nodes are hidden in the network. B, Shows the first ten proteins that interact with LGR6. The minimum required interaction score is 0.905 (very high confidence)

Figure 7

LGR6 KEGG pathway. The KEGG pathway was constructed by the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database. The LGR6 KEGG pathway reflects the practical biological functions of LGR6 mediated through the Wnt signalling pathway

Protein‐protein interaction (PPI) network of LGR6‐related genes. The PPI network was drawn using STRING online. A, Shows 36 nodes interacting with the first shell of LGR6. The minimum required interaction score is 0.41 (moderate confidence). Disconnected nodes are hidden in the network. B, Shows the first ten proteins that interact with LGR6. The minimum required interaction score is 0.905 (very high confidence) LGR6 KEGG pathway. The KEGG pathway was constructed by the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database. The LGR6 KEGG pathway reflects the practical biological functions of LGR6 mediated through the Wnt signalling pathway

DISCUSSION

The malignancy of esophageal cancer is high, and its prognosis is poor. Predictive markers and effective molecular therapy targets are urgently needed to improve the prognosis of patients with esophageal cancer. LGR6 has been widely reported to be an important stem cell marker in many cancer types that promotes the occurrence and progression of cancer.19, 20 Paradoxically, LGR6 has been reported to act as a tumor suppressor gene in colon and breast cancers.21, 22 These results suggest that the role of LGR6 in tumors is related to the tumor type. The clinical significance and function of LGR6 in ESCC have not been previously reported. In this study, by accessing the TCGA and UCSC data sets, we found that the expression of LGR6 in normal human esophageal tissues was relatively low at the transcription level, while the expression of LGR6 in esophageal cancer tissues of patients with esophageal cancer was significantly upregulated compared with that in the corresponding surrounding normal tissues. Experimentally, we verified that LGR6 mRNA and protein levels were significantly higher in ESCC tissues than in adjacent normal tissues. We explored the relationship between the expression of LGR6 in cancer tissues from 102 ESCC patients and their clinicopathological features. We found that the upregulation of LGR6 is closely related to a low level of differentiation of ESCC and a poor prognosis of the patients. Through further analysis of the LGR6 PPI network and KEGG pathways, we found that LGR6 interacts with RSPO1, RSPO2, RSPO3, and RSPO4 (interaction score ≧0.967), and LGR6 primarily participates in the Wnt/β‐catenin signaling pathway to exert its biological functions. LGR6 interacts with its ligand RSPO1‐4 to activate the Wnt/β‐catenin signaling pathway through phosphorylation, thereby affecting multipotent biological functions.21, 23, 24, 25 The Wnt/β‐catenin signaling pathway plays a key role in the pathogenesis of various human diseases and tumors.23 LGR6 promotes the progression and invasion of lung cancer and high‐grade serous ovarian carcinoma, as well as the stemness and chemoresistance of ovarian cancer cells through this mechanism.18, 19, 26 LGR6 may contribute to the development and progression of ESCC by activating the Wnt/β‐catenin signaling pathway, but further research is needed to confirm this hypothesis. However, the function of LGR6 in different cancers remains controversial.19, 20, 21, 22 Notably, the LGR6 PPI network showed that LGR6 interacts with ZNRF3, RNF43, UBC, UBB and other protein molecules. The minimum required interaction score was 0.905 (very high confidence). ZNRF3 (interaction score: 0.960) and RNF43 (interaction score: 0.960) act as negative regulators of the Wnt signaling pathway and inhibit tumor progression.23 UBC and UBB are mainly involved in the ubiquitination of eukaryotic cells, a series of processes including protein degradation, DNA repair, transcription, protein transport, cell cycle regulation, and signal transduction. Many of these processes are crucial for cancer cell survival.24 We believe that the ultimate role of LGR6 in the pathogenesis of cancer is the result of the integration of all of its biological functions. Therefore, LGR6 functions differently in different cancers or individuals. Hauser AS and Lappano R et al reported that G protein–coupled receptors and membrane signaling proteins including LGR6 are good candidates for cancer‐targeting molecular therapies.25, 26 Our results suggest that LGR6 may be a potential therapeutic target for ESCC, providing a potential therapeutic strategy by increasing the degradation or reducing the expression of LGR6 to interfere with tumor progression. The limitation of this study is that there was no in‐depth study of the molecular mechanisms of LGR6 in the development and progression of esophageal cancer, which is where further research and exploration are needed in the future. In summary, this study confirmed for the first time that LGR6 is highly expressed in ESCC tissues and that increased expression of LGR6 is associated with a poor prognosis of ESCC patients. LGR6 may promote ESCC progression by activating the Wnt/β‐catenin signaling pathway. These findings provide a basis for the potential application of LGR6 as a biomarker for early diagnosis and as a target gene for early therapeutic intervention.

CONFLICTS OF INTEREST

The authors have no conflicts of interest to disclose. Click here for additional data file.
  27 in total

1.  Targeting the Versatile Wnt/β-Catenin Pathway in Cancer Biology and Therapeutics: From Concept to Actionable Strategy.

Authors:  Kevin Dzobo; Nicholas Ekow Thomford; Dimakatso A Senthebane
Journal:  OMICS       Date:  2019-10-15

Review 2.  R-spondins: Multi-mode WNT signaling regulators in adult stem cells.

Authors:  Ahmed A Raslan; Jeong Kyo Yoon
Journal:  Int J Biochem Cell Biol       Date:  2018-11-12       Impact factor: 5.085

3.  Lgr6 marks nail stem cells and is required for digit tip regeneration.

Authors:  Jessica A Lehoczky; Clifford J Tabin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

4.  Lgr6 labels a rare population of mammary gland progenitor cells that are able to originate luminal mammary tumours.

Authors:  Leander Blaas; Fabio Pucci; Hendrik A Messal; Agneta B Andersson; E Josue Ruiz; Marco Gerling; Iyadh Douagi; Bradley Spencer-Dene; Alexandra Musch; Richard Mitter; Leena Bhaw; Richard Stone; Dorothee Bornhorst; Abdul K Sesay; Jos Jonkers; Gordon Stamp; Ilaria Malanchi; Rune Toftgård; Axel Behrens
Journal:  Nat Cell Biol       Date:  2016-10-31       Impact factor: 28.824

5.  G protein-coupled receptor LGR6 is an independent risk factor for colon adenocarcinoma.

Authors:  Wenjing Wang; Shigang Ding; Hejun Zhang; Jun Li; Jun Zhan; Hongquan Zhang
Journal:  Front Med       Date:  2018-07-04       Impact factor: 4.592

Review 6.  Trends in GPCR drug discovery: new agents, targets and indications.

Authors:  Alexander S Hauser; Misty M Attwood; Mathias Rask-Andersen; Helgi B Schiöth; David E Gloriam
Journal:  Nat Rev Drug Discov       Date:  2017-10-27       Impact factor: 84.694

7.  LGR4 and LGR6 are differentially expressed and of putative tumor biological significance in gastric carcinoma.

Authors:  Jan Simon Steffen; Eva Simon; Viktoria Warneke; Katharina Balschun; Matthias Ebert; Christoph Röcken
Journal:  Virchows Arch       Date:  2012-08-02       Impact factor: 4.064

8.  LGR6 is a potential diagnostic and prognostic marker for esophageal squamous cell carcinoma.

Authors:  Tianci Chai; Zhimin Shen; Zhenyang Zhang; Sui Chen; Lei Gao; Peipei Zhang; Wenwei Lin; Mingqiang Kang; Jiangbo Lin
Journal:  J Clin Lab Anal       Date:  2020-01-09       Impact factor: 2.352

9.  miR-17-92/p38α Dysregulation Enhances Wnt Signaling and Selects Lgr6+ Cancer Stem-like Cells during Lung Adenocarcinoma Progression.

Authors:  Anna Guinot; Feride Oeztuerk-Winder; Juan-Jose Ventura
Journal:  Cancer Res       Date:  2016-05-04       Impact factor: 12.701

10.  Genome-wide association studies identify four ER negative-specific breast cancer risk loci.

Authors:  Montserrat Garcia-Closas; Fergus J Couch; Sara Lindstrom; Kyriaki Michailidou; Marjanka K Schmidt; Mark N Brook; Nick Orr; Suhn Kyong Rhie; Elio Riboli; Heather S Feigelson; Loic Le Marchand; Julie E Buring; Diana Eccles; Penelope Miron; Peter A Fasching; Hiltrud Brauch; Jenny Chang-Claude; Jane Carpenter; Andrew K Godwin; Heli Nevanlinna; Graham G Giles; Angela Cox; John L Hopper; Manjeet K Bolla; Qin Wang; Joe Dennis; Ed Dicks; Will J Howat; Nils Schoof; Stig E Bojesen; Diether Lambrechts; Annegien Broeks; Irene L Andrulis; Pascal Guénel; Barbara Burwinkel; Elinor J Sawyer; Antoinette Hollestelle; Olivia Fletcher; Robert Winqvist; Hermann Brenner; Arto Mannermaa; Ute Hamann; Alfons Meindl; Annika Lindblom; Wei Zheng; Peter Devillee; Mark S Goldberg; Jan Lubinski; Vessela Kristensen; Anthony Swerdlow; Hoda Anton-Culver; Thilo Dörk; Kenneth Muir; Keitaro Matsuo; Anna H Wu; Paolo Radice; Soo Hwang Teo; Xiao-Ou Shu; William Blot; Daehee Kang; Mikael Hartman; Suleeporn Sangrajrang; Chen-Yang Shen; Melissa C Southey; Daniel J Park; Fleur Hammet; Jennifer Stone; Laura J Van't Veer; Emiel J Rutgers; Artitaya Lophatananon; Sarah Stewart-Brown; Pornthep Siriwanarangsan; Julian Peto; Michael G Schrauder; Arif B Ekici; Matthias W Beckmann; Isabel Dos Santos Silva; Nichola Johnson; Helen Warren; Ian Tomlinson; Michael J Kerin; Nicola Miller; Federick Marme; Andreas Schneeweiss; Christof Sohn; Therese Truong; Pierre Laurent-Puig; Pierre Kerbrat; Børge G Nordestgaard; Sune F Nielsen; Henrik Flyger; Roger L Milne; Jose Ignacio Arias Perez; Primitiva Menéndez; Heiko Müller; Volker Arndt; Christa Stegmaier; Peter Lichtner; Magdalena Lochmann; Christina Justenhoven; Yon-Dschun Ko; Taru A Muranen; Kristiina Aittomäki; Carl Blomqvist; Dario Greco; Tuomas Heikkinen; Hidemi Ito; Hiroji Iwata; Yasushi Yatabe; Natalia N Antonenkova; Sara Margolin; Vesa Kataja; Veli-Matti Kosma; Jaana M Hartikainen; Rosemary Balleine; Chiu-Chen Tseng; David Van Den Berg; Daniel O Stram; Patrick Neven; Anne-Sophie Dieudonné; Karin Leunen; Anja Rudolph; Stefan Nickels; Dieter Flesch-Janys; Paolo Peterlongo; Bernard Peissel; Loris Bernard; Janet E Olson; Xianshu Wang; Kristen Stevens; Gianluca Severi; Laura Baglietto; Catriona McLean; Gerhard A Coetzee; Ye Feng; Brian E Henderson; Fredrick Schumacher; Natalia V Bogdanova; France Labrèche; Martine Dumont; Cheng Har Yip; Nur Aishah Mohd Taib; Ching-Yu Cheng; Martha Shrubsole; Jirong Long; Katri Pylkäs; Arja Jukkola-Vuorinen; Saila Kauppila; Julia A Knight; Gord Glendon; Anna Marie Mulligan; Robertus A E M Tollenaar; Caroline M Seynaeve; Mieke Kriege; Maartje J Hooning; Ans M W van den Ouweland; Carolien H M van Deurzen; Wei Lu; Yu-Tang Gao; Hui Cai; Sabapathy P Balasubramanian; Simon S Cross; Malcolm W R Reed; Lisa Signorello; Qiuyin Cai; Mitul Shah; Hui Miao; Ching Wan Chan; Kee Seng Chia; Anna Jakubowska; Katarzyna Jaworska; Katarzyna Durda; Chia-Ni Hsiung; Pei-Ei Wu; Jyh-Cherng Yu; Alan Ashworth; Michael Jones; Daniel C Tessier; Anna González-Neira; Guillermo Pita; M Rosario Alonso; Daniel Vincent; Francois Bacot; Christine B Ambrosone; Elisa V Bandera; Esther M John; Gary K Chen; Jennifer J Hu; Jorge L Rodriguez-Gil; Leslie Bernstein; Michael F Press; Regina G Ziegler; Robert M Millikan; Sandra L Deming-Halverson; Sarah Nyante; Sue A Ingles; Quinten Waisfisz; Helen Tsimiklis; Enes Makalic; Daniel Schmidt; Minh Bui; Lorna Gibson; Bertram Müller-Myhsok; Rita K Schmutzler; Rebecca Hein; Norbert Dahmen; Lars Beckmann; Kirsimari Aaltonen; Kamila Czene; Astrid Irwanto; Jianjun Liu; Clare Turnbull; Nazneen Rahman; Hanne Meijers-Heijboer; Andre G Uitterlinden; Fernando Rivadeneira; Curtis Olswold; Susan Slager; Robert Pilarski; Foluso Ademuyiwa; Irene Konstantopoulou; Nicholas G Martin; Grant W Montgomery; Dennis J Slamon; Claudia Rauh; Michael P Lux; Sebastian M Jud; Thomas Bruning; Joellen Weaver; Priyanka Sharma; Harsh Pathak; Will Tapper; Sue Gerty; Lorraine Durcan; Dimitrios Trichopoulos; Rosario Tumino; Petra H Peeters; Rudolf Kaaks; Daniele Campa; Federico Canzian; Elisabete Weiderpass; Mattias Johansson; Kay-Tee Khaw; Ruth Travis; Françoise Clavel-Chapelon; Laurence N Kolonel; Constance Chen; Andy Beck; Susan E Hankinson; Christine D Berg; Robert N Hoover; Jolanta Lissowska; Jonine D Figueroa; Daniel I Chasman; Mia M Gaudet; W Ryan Diver; Walter C Willett; David J Hunter; Jacques Simard; Javier Benitez; Alison M Dunning; Mark E Sherman; Georgia Chenevix-Trench; Stephen J Chanock; Per Hall; Paul D P Pharoah; Celine Vachon; Douglas F Easton; Christopher A Haiman; Peter Kraft
Journal:  Nat Genet       Date:  2013-04       Impact factor: 38.330

View more
  3 in total

1.  LGR6 is a potential diagnostic and prognostic marker for esophageal squamous cell carcinoma.

Authors:  Tianci Chai; Zhimin Shen; Zhenyang Zhang; Sui Chen; Lei Gao; Peipei Zhang; Wenwei Lin; Mingqiang Kang; Jiangbo Lin
Journal:  J Clin Lab Anal       Date:  2020-01-09       Impact factor: 2.352

2.  Analysis of multi-omics differences in left-side and right-side colon cancer.

Authors:  Yanyi Huang; Jinzhong Duanmu; Yushu Liu; Mengyun Yan; Taiyuan Li; Qunguang Jiang
Journal:  PeerJ       Date:  2021-05-12       Impact factor: 2.984

3.  Investigating the Interactions of Glioma Stem Cells in the Perivascular Niche at Single-Cell Resolution using a Microfluidic Tumor Microenvironment Model.

Authors:  Emmanuela A Adjei-Sowah; Samantha A O'Connor; Jaimeson Veldhuizen; Costanza Lo Cascio; Christopher Plaisier; Shwetal Mehta; Mehdi Nikkhah
Journal:  Adv Sci (Weinh)       Date:  2022-05-26       Impact factor: 17.521

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.