Literature DB >> 28814881

Elevated expression of neuropilin-2 associated with unfavorable prognosis in hepatocellular carcinoma.

Xiaogang Dong1,2,3,4,5, Wenjia Guo6, Shizhen Zhang7, Tianchun Wu1,3,4,5, Zhongquan Sun1,3,4,5, Sheng Yan1,3,4,5, Shusen Zheng1,3,4,5.   

Abstract

Neuropilin-2 (NRP2) is a single-pass transmembrane glycoprotein and has recently been detected in several human cancer cells. However, its clinical relevance in hepatocellular carcinoma (HCC) remains unclear. This study aimed at evaluating NRP2 expression and clinicopathological significance in HCC patients. Tissue microarray of 190 HCC patients from the First Affiliated Hospital of Zhejiang University was established, and immunohistochemical staining was performed for NRP2. The Kaplan-Meier analysis and Cox proportional hazard model were used to analyze the survival rate. We found that NRP2 expression in HCC was significantly associated with tumor histological degree (P=0.023) and cirrhosis (P=0.040). Furthermore, NRP2-positive HCC patients demonstrated shorter disease-free survival (DFS) and overall survival (OS) than those of NRP2-negative patients. Then, the multivariate Cox analysis showed that hazard ratios of NRP2-positive patients with DFS and OS were 2.167 (95% CI: 1.626, 2.889) and 2.317 (95% CI: 1.548, 3.469), respectively. Our results suggested that NRP2 expression was considered as an independent factor for the prediction of unfavorable prognosis in HCC patients, and we believe that NRP2 could serve as a biomarker of poor prognosis and a novel target in treating HCC tumors.

Entities:  

Keywords:  NRP2; disease-free survival; hepatocellular carcinoma; immunohistochemistry; overall survival; unfavorable prognosis

Year:  2017        PMID: 28814881      PMCID: PMC5546826          DOI: 10.2147/OTT.S139044

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Hepatocellular carcinoma (HCC) is one of the most common primary malignancy of the liver and is the second most frequent cause of cancer mortality worldwide.1 Approximately 750,000 new HCC cases are diagnosed annually, and half of them are in People’s Republic of China.2 The prognosis of HCC remains poor due to its high intrahepatic recurrence rate postcurative hepatectomy.3 Hence, novel biomarkers that improve the diagnosis and treatment of HCC patients are awaiting discovery. Neuropilins (NRPs) are highly conserved multifunctional transmembrane glycoproteins. To date, two NRP homologues have been identified in vertebrates, Neuropilin-1 (NRP1) and Neuropilin-2 (NRP2), and are composed of 923 and 926 amino acids, respectively.4 NRPs play a regulatory role in nervous system development, as they possess neuronal guidance functions by interacting with plexins for specific secreted members of the semaphoring family.5–7 Then, accumulating evidences suggest that NRPs act as multifunctional correctors due to their ability to bind to a wider variety of protein families, including transforming growth factor-β1 (TGF-β1), vascular endothelial growth factor (VEGF), epidermal growth factor, platelet-derived growth factor, and other growth factors, exerting diverse biological functions, such as angiogenesis, immune system regulation, and tumor growth and progression.8–11 The two NRP homologues share 44% amino acid sequence identity and have similar overall structure, but their expression patterns, regulation, and ligand binding specificities are significantly different.12 NRP1 plays an important role in angiogenesis and vasculogenesis.13 Unlike NRP1, NRP2 mainly involves in the formation of lymphatic vessels.14 NRP1 is expressed in the epithelial cells, and some tumors of epithelial origin are likely to express NRP1. NRP1 expression has been detected in several tumor biopsies, such as prostate, mammary, bladder, kidney, colon, pancreas, skin, ovarian, and lung carcinomas.15–20 Although NRP2 is not expressed in epithelial cells, its expression is predominant in human melanoma cells, human glioblastoma cells, and human neuroblastoma cells.21 However, recent reports also confirmed the expression of NRP2 in lung cancer, prostate cancer, and gastrointestinal cancer.19,22,23 In a recent study, Elpek reviewed the role of NRPs in liver diseases and concluded that they were involved in liver regeneration, liver fibrosis, and malignant transformation.24 NRP1 expression was increased in human HCC, and ~50% of primary HCC samples were positively stained for NRP1.25 NRP1 expression in HCC has been associated with intrahepatic metastasis, TNM classification and portal vein invasion, shorter recurrence-free survival (RFS), and shorter overall survival (OS).26 NRP2 is crucially involved in the elevation of the migratory capability of de-differentiated HCC cells through TGF-β-dependent pathway.27 However, the expression patterns and prognostic values of NRP2 in HCC patients are not completely understood. Therefore, in this study, we evaluated the NRP2 expression by immunohistochemical staining in HCC samples and found that the NRP2 expression was associated with advanced histological grade tumor and cirrhosis. In addition, NRP2-positive HCC patients had shorter disease-free survival (DFS) and OS than those of NRP2-negative patients. Therefore, we believe that NRP2 could serve as a biomarker of poor prognosis and a novel target in treating HCC patients.

Materials and methods

Patients

A total of 190 paraffin-embedded HCC and matched adjacent normal liver tissue specimens were collected from the First Affiliated Hospital, School of Medicine, Zhejiang University, between July 2010 and August 2012. Inclusion criteria were as follows: 1) if pathological diagnosis confirmed HCC without other primary cancers; 2) if follow-up information was available; and 3) if informed consent was obtained. All the patients showed the absence of lymph node or distant metastasis and received no chemotherapy, radiotherapy, or immunotherapy before the operation. The available clinical data, such as gender, age, tumor size, hepatitis B virus surface antigen, serum AFP, and TNM classification, were collected for further analyses. The patients were followed up until August 2015. OS and RFS were defined as the interval between surgery and death or recurrence. If recurrence was not diagnosed, patients were censored on the date of death or the last follow-up assessment. The Ethics Committee of the First Affiliated Hospital, School of Medicine, Zhejiang University, approved the use of tissue samples in this study.

Construction of tissue microarray (TMA)

Tissue cores with a diameter of 0.6 mm were isolated from paraffin-embedded formalin-fixed tissue and transferred into a recipient paraffin block by using the Beecher Manual Tissue Arrayer (Beecher Instruments, Inc., Sun Prairie, WI, USA). The selected tissue cores were chosen by an experienced pathologist from our hospital based on H&E staining of tissue sections. Then, consecutive sections of 4–5 μm were cut from TMA blocks and placed on glass slides for subsequent immunohistochemical analysis.

NRP2 immunohistochemistry (IHC)

The expression of NRP2 of HCC tissues and matched adjacent normal liver tissues were examined by IHC. Paraffin sections of 4–5 μm were deparaffinized, and antigen was retrieved by boiling in 0.1 M citrate buffer (pH 6.0) for 20 minutes. Endogenous peroxidase was inactivated with 0.3% H2O2 for 10 minutes. Then, the primary antibody NRP2 (ab185710; dilution 1:100; Abcam, Cambridge, UK) was incubated for overnight at 4°C. PBS was used as a negative control. Subsequently, the sections were incubated with a biotinylated goat anti-rabbit secondary antibody for 30 minutes at a room temperature. Next, 3,3-diaminobenzidine was applied for 5 and 10 minutes. Each slide was counterstained with hematoxylin for redyeing. Then, the slides were dehydrated, making transparent and sealed.

Scoring of NRP2 expression

Two independent observers evaluated the degree of NRP2 immunostaining. The results were scored according to the intensity and percentage of NRP2-positive cells. Staining intensity was scored as follows: absent staining (negative, 0), weak staining (1), moderate staining (2), and strong staining (3). The percent of positive cells was grouped into 4 categories, in which 1 was given for 0%–10%, 2 for 11%–50%, 3 for 51%–80%, and 4 for 81%–100%. The two scores were then multiplied to calculate the final score. NRP2 expression was considered low if the final score was ≤3 and otherwise high.26

Statistical analysis

SPSS version 21.0 software (IBM SPSS, Armonk, NY, USA) was used for data analysis. Pearson’s χ2 test was used to analyze the association between NRP2 and clinicopathological factors. OS and DFS curves were plotted by using the Kaplan–Meier method and compared by using log-rank test. Univariate analysis was performed with the log-rank test. The prognostic significance of NRP2 expression and all clinical covariates were measured by using Cox regression analysis. P<0.05 was set as statistically significant difference.

Results

Characteristics of the eligible HCC patients

We included 190 eligible HCC patients who were undergoing curative resection in the First Affiliated Hospital, School of Medicine, Zhejiang University, between July 2010 and August 2012. All the patients involved had no preoperative lymph node and distant metastasis. The patient’s age range was from 23 to 89 years at the time of surgery. Of the 190 patients who were included in the study, 178 patients were male, and 12 were female. All the patients were followed up via telephone interviews, and the follow-up time ranged between 6 and 61 months.

NRP2 expression correlates with histological grade tumor and cirrhosis in HCC patients

NRP2 was expressed in human HCC cell lines and plays an important role in tumor cell migration.27 In order to further explore regarding the expression of NRP2 in carcinogenesis of HCC, we analyzed the expression of NRP2 in 190 HCC tissues on a TMA by immunohistochemistry. Table 1 summarizes the clinical characteristics of the patients. NRP2 expression was mainly observed in cytoplasm and cytomembrane (Figure 1). A total of 55.3% (105 of 190) of HCC patients demonstrated NRP2-positive staining. As shown in Table 1, NRP2 expression was significantly associated with higher tumor grading (P=0.023). NRP2 expression was observed in 55.7% of HCC patients with Grade II and 61.5% with Grade III tumors, whereas only 27.8% of well-differentiated HCC patients (Grade I) demonstrated NRP2-positive staining. In addition, we found that the expression rate of NRP2 was higher in HCC patients without cirrhosis (P=0.003); 38.9% of HCC patients without cirrhosis demonstrated NRP2-positive staining, whereas 61.1% of HCC with cirrhosis showed NRP2 expression. Then, we used nonconditional logistic analysis to examine the correlations of NRP2 expression with these clinical parameters (Table 2). The results indicated that NRP2 expression showed statistically significant impact on the risk of advanced histological grade tumor and cirrhosis. The adjusted odds ratio (OR) of NRP2-positive HCC with advanced histological grade tumor was 1.431 (95% CI: 1.025, 2.414), whereas the adjusted OR of NRP2-positive HCC with cirrhosis was 0.306 (95% CI: 0.142, 0.657). All these results implicated that NRP2 expression was associated with HCC with a de-differentiated phenotype and without cirrhosis.
Table 1

NRP2 protein expression and pathoclinical characteristics of HCC patients

Characteristicsn=190
P-value
Number of patientsNumber of NRP2-positive (%)
Age (years)0.619
 ≤504825 (52.1)
 >5014280 (56.3)
Gender0.770
 Male17899 (55.6)
 Female126 (50.0)
HBV antigen1.000
 (−)3821 (55.3)
 (+)15284 (55.3)
AFP (ng/mL)0.293
 ≥207236 (50.0)
 <2011869 (58.5)
Histological grade0.023*
 I185 (27.8)
 II12068 (55.7)
 III5232 (61.5)
Tumor size0.462
 T115483 (53.9)
 T2148 (57.14)
 T32214 (63.6)
AJCC stage0.450
 I15684 (53.8)
 II148 (57.14)
 III2011 (55.0)
Tumor thrombosis0.496
 Negative16891 (54.2)
 Positive2214 (63.2)
Microvascular invasion0.377
 Negative11466 (57.9)
 Positive7639 (51.3)
Cirrhosis0.040*
 Negative3614 (38.9)
 Positive15491 (61.1)

Note:

P<0.05 was considered statistically significant.

Abbreviations: AJCC, American Joint Committee on Cancer; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; NRP2, neuropilin-2.

Figure 1

Immunohistochemical staining of NRP2 expression in HCC tissues with (A) negative, (B) weakly positive, (C) moderately positive, and (D) strongly positive in low magnification (40×); and (E) negative, (F) weakly positive, (G) moderately positive, and (H) strongly positive in high magnification (200×) under a microscope (Olympus, Tokyo, Japan).

Abbreviations: HCC, hepatocellular carcinoma; NRP2, neuropilin-2.

Table 2

Nonconditional logistic analysis for NRP2 and some clinicopathological characteristics

VariablesOR (95% CI)Adjusted OR (95% CI)
Histological grade
 I–IIReferenceReference
 III1.516 (1.010, 2.275)*1.431 (1.025, 2.414)*
HBV antigen
 NegativeReferenceReference
 Positive0.862 (0.493, 1.507)0.946 (0.509, 1.759)
Tumor size
 T1–T2ReferenceReference
 T30.940 (0.679, 1.302)1.005 (0.647, 1.559)
AFP (ng/mL)
 ≥20ReferenceReference
 <201.408 (0.829, 2.391)1.606 (0.863, 2.990)
Tumor thrombosis
 NegativeReferenceReference
 Positive1.067 (0.537, 2.123)1.006 (0.379, 2.673)
Microvascular invasion
 NegativeReferenceReference
 Positive0.630 (0.399, 1.004)0.619 (0.373, 1.028)
Cirrhosis
 NegativeReferenceReference
 Positive0.352 (0.176, 0.704)*0.306 (0.142, 0.657)*

Notes: Adjusted OR, adjusted by age and tumor location in multivariate logistic analysis;

P<0.05 was considered statistically significant.

Abbreviations: HBV, hepatitis B virus; NRP2, neuropilin-2; OR, odds ratio.

NRP2 expression correlates with poor prognosis in HCC patients

In order to better understand the prognostic value of NRP2 in HCC patients, Kaplan–Meier survival analysis based on NRP2 immunostaining of primary tumors was used to evaluate the relationship between NRP2 protein staining and OS/DFS in 190 HCC samples. As shown in Figure 2, NRP2 expression was significantly associated with shorter DFS and OS. The median survival time of NRP2-positive HCC patients was 29 months, which was much shorter than that of NRP2-negative HCC patients (37 months). The median DFS time of NRP2-positive HCC patients was 12 months, whereas the median DFS time of NRP2-negative HCC patients was 18 months. In order to determinate the independent prognostic role of NRP2 in HCC patients, univariate and multivariate Cox analyses were performed, and Table 3 presents the results. The factors such as age (hazard ratio [HR] =1.022, 95% CI: 1.006, 1.038), AFP level (HR: 1.634, 95% CI: 1.049, 2.554), histological grade (HR: 1.524, 95% CI: 1.135, 2.046), American Joint Committee on Cancer stage (HR: 2.225, 95% CI: 1.966, 2.554), tumor thrombosis (HR: 2.744, 95% CI: 1.784, 4.221), microvascular invasion (HR: 3.837, 95% CI: 2.680, 5.493), and cirrhosis (HR: 1.686, 95% CI: 1.001, 2.846) were independent risk factors associated with OS according to univariate Cox analysis, whereas the factors such as age, AFP level, and histological grade were not associated with poor OS according to multivariate analysis (Table 3). Multivariate HR of NRP2-positive with OS was 2.317 (95% CI: 1.548, 3.469), indicating that NRP2-positive was an independent predictive factor of poor OS in HCC patients. Multivariate analysis showed that gender (HR: 0.431, 95% CI: 0.235, 0.790), tumor thrombosis (HR: 2.480, 95% CI: 1.538, 4.001), microvascular invasion (HR: 2.430, 95% CI: 1.834, 3.219), cirrhosis (HR: 2.312, 95% CI: 1.544, 3.461), and NRP2 expression (HR: 2.167, 95% CI: 1.626, 2.889) were independent risk factors for shorter DFS. All the above data indicated that NRP2 expression demonstrated shorter DFS and OS for HCC patients.
Figure 2

Prognostic significance of NRP2 expression in HCC patients.

Notes: (A) Kaplan–Meier analysis of NRP2 expression for HCC with OS; (B) DFS analysis of NRP2 expression for HCC; (C) forest plots of the results of multivariate Cox analysis for OS; (D) forest plots of the DFS results of multivariate Cox analysis. *P<0.05.

Abbreviations: AJCC, American Joint Committee on Cancer; DFS, disease-free survival; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; HR, hazard ratio; NRP2, neuropilin-2; OS, overall survival.

Table 3

Univariate and multivariate Cox analysis for NRP2 and survival of HCCs

VariablesOS
DFS
UnivariateMultivariateUnivariateMultivariate


HR (95% CI)HR (95% CI)HR (95% CI)HR (95% CI)
Age (>50 years vs ≤50 years)1.022 (1.006, 1.038)*1.009 (0.990, 1.028)1.006 (0.996, 1.017)1.003 (0.991, 1.015)
Gender (male vs female)0.986 (0.482, 2.015)1.097 (0.520, 2.318)1.136 (0.899, 1.529)1.031 (0.835, 1.390)
HBV antigen (+ vs −)1.385 (0.629, 1.550)1.126 (0.533, 1.831)0.818 (0.533, 1.168)0.773 (0.536, 1.115)
AFP (≥20 ng/mL vs <20 ng/mL)1.634 (1.049, 2.554)*0.873 (0.526, 1.446)1.418 (1.056, 1.904)*1.299 (0.919, 1.836)
Histological grade (III vs I/II)1.524 (1.135, 2.046)*1.303 (0.856, 1.982)1.175 (0.952, 1.451)0.825 (0.617, 1.107)
AJCC stage (III vs I/II)2.225 (1.966, 2.554)*1.702 (1.494, 1.998)*1.306 (1.082, 1.577)*1.273 (0.693, 2.101)
Tumor thrombosis (+ vs −)2.744 (1.784, 4.221)*2.016 (1.069, 4.195)*2.837 (1.980, 4.065)*2.480 (1.538, 4.001)*
Microvascular invasion (+ vs −)3.837 (2.680, 5.493)*3.765 (2.510, 5.648)*2.384 (1.856, 3.063)*2.430 (1.834, 3.219)*
Cirrhosis (+ vs −)1.686 (1.001, 2.846)*2.457 (1.548, 3.469)*1.622 (1.143, 2.302)*2.312 (1.544, 3.461)*
NRP2 (+ vs −)1.969 (1.371, 2.826)*2.317 (1.548, 3.469)*1.530 (1.188, 1.970)*2.167 (1.626, 2.889)*

Note:

P<0.05 was considered statistically significant.

Abbreviations: AJCC, American Joint Committee on Cancer; DFS, disease-free survival; HBV, hepatitis B virus; HCC, hepatocellular carcinoma; HR, hazard ratio; NRP2, neuropilin-2; OS, overall survival.

Discussion

Several studies have investigated regarding NRP1 and deduced the expression of NRP1 in many cancer types and their association with tumor-related angiogenesis and tumor progression.28–31 Previous studies have demonstrated the upregulation of NRP1 in HCC, contributing to tumor growth and increasing time to recurrence.25,32,33 However, less information is known regarding the expression of NRP2 in malignant tumors. Emerging evidences have demonstrated that NRP2 was expressed in non-small cell lung cancer patients,34 osteosarcoma,35 colorectal cancer,36 and other types of cancers.10 In lung cancer cells, NRP2 enhanced cellular migration, invasion, and tumor sphere formation in response to TGFβ signaling, and NRP2 expression was correlated with metastatic disease and poor prognosis.34 In our study, we found that more than half of HCC patients demonstrated NRP2 expression, and the lower the differentiated degree of the tumor, the higher the expression rate of NRP2. Survival analysis indicated that NRP2 expression in HCC was significantly associated with poor prognosis, shorter DFS, and shorter OS. In addition, our study also suggested that the tumor thrombosis and microvascular invasion were poor prognostic factors37–39 and independent factors associated with OS and DFS in HCC. Consistent with the previous study results,27 we showed that NRP2 expression was significantly correlated with less differentiation in HCC patients. The hedgehog (Hh) signaling system has been implicated in the regulation of cellular differentiation, proliferation, tissue polarity, stem cell population, and carcinogenesis.40–42 Hh signaling plays an important role in maintaining the undifferentiated phenotype in cancer cells, whereas NRP2 is a positive regulator of Hh signal transduction.43 Therefore, we speculate that NRP2 expression in HCC regulates Hh signaling in the de-differentiated state of tumor cells. Angiogenesis is a vital process in tumor progression, and VEGF family and their tyrosine kinase receptors play pivotal roles in the physiological and pathological angiogenesis.44 Initially, NRP2 was identified as a semaphorin receptor in the mediation of axon guidance.33 Now, it has been proposed that NRP2 functions to enhance VEGF receptor signaling and the modulation of lymphatic endothelial cell migration.45 NRP2 interacts with VEGF-C and VEGF-D, inducing lymphovascular development and stimulating lymph node metastasis via VEGFR-3.46,47 NRP2 also interacts with the N-terminal domain of hepatocyte growth factor (HGF), pleiotropic cytokine, and potent proangiogenic molecule, enhancing the HGF-mediated angiogenesis.48 In addition, blocking of NRP2 leads to the inhibition of tumor lymphangiogenesis and reduction in metastasis of the primary tumor.47 Consistently, our results indicated that NRP2 expression in HCC allows tumor to metastasize more easily and showed a shorter DFS. Furthermore, angiogenesis was closely associated with liver fibrosis and has reported that hepatic stellate cells secreted NRP1 to induce angiogenesis in liver fibrosis.49 Our study showed that 61.1% of HCC patients with cirrhosis showed NRP2-positive, whereas only 38.9% patients showed NRP2-negative.

Conclusion

To sum, the present study demonstrated that NRP2 expression in HCC patients was positively associated with pathological differentiation and cirrhosis. In addition, NRP2 expression was also significantly associated with the progression of tumor malignancy and poorer survival rates in patients with HCC. These results suggested that NRP2 was recognized as a novel biomarker for prognosis and a potential therapeutic target for the treatment of HCC.
  49 in total

Review 1.  Discovery of semaphorin receptors, neuropilin and plexin, and their functions in neural development.

Authors:  Hajime Fujisawa
Journal:  J Neurobiol       Date:  2004-04

2.  Neuropilins are positive regulators of Hedgehog signal transduction.

Authors:  R Tyler Hillman; Brian Y Feng; Jun Ni; Wei-Meng Woo; Ljiljana Milenkovic; Melanie G Hayden Gephart; Mary N Teruel; Anthony E Oro; James K Chen; Matthew P Scott
Journal:  Genes Dev       Date:  2011-11-03       Impact factor: 11.361

Review 3.  The Hedgehog pathway: role in cell differentiation, polarity and proliferation.

Authors:  Yanfei Jia; Yunshan Wang; Jingwu Xie
Journal:  Arch Toxicol       Date:  2015-01-06       Impact factor: 5.153

4.  In vivo administration of vascular endothelial growth factor (VEGF) and its antagonist, soluble neuropilin-1, predicts a role of VEGF in the progression of acute myeloid leukemia in vivo.

Authors:  Gunter Schuch; Marcelle Machluf; Georg Bartsch; Masashi Nomi; Henri Richard; Anthony Atala; Shay Soker
Journal:  Blood       Date:  2002-12-15       Impact factor: 22.113

Review 5.  Semaphorins in cancer.

Authors:  Gera Neufeld; Niva Shraga-Heled; Tali Lange; Noga Guttmann-Raviv; Yael Herzog; Ofra Kessler
Journal:  Front Biosci       Date:  2005-01-01

6.  Neuropilin-1 expression in cancer and development.

Authors:  Adrian M Jubb; Laura A Strickland; Scot D Liu; Judy Mak; Maike Schmidt; Hartmut Koeppen
Journal:  J Pathol       Date:  2011-10-25       Impact factor: 7.996

Review 7.  Neuropilin signalling in vessels, neurons and tumours.

Authors:  Claudio Raimondi; Christiana Ruhrberg
Journal:  Semin Cell Dev Biol       Date:  2013-01-11       Impact factor: 7.727

8.  A novel prognostic nomogram is more accurate than conventional staging systems for predicting survival after resection of hepatocellular carcinoma.

Authors:  Clifford S Cho; Mithat Gonen; Jinru Shia; Michael W Kattan; David S Klimstra; William R Jarnagin; Michael I D'Angelica; Leslie H Blumgart; Ronald P DeMatteo
Journal:  J Am Coll Surg       Date:  2007-10-29       Impact factor: 6.113

9.  Neuropilin-2 mediated β-catenin signaling and survival in human gastro-intestinal cancer cell lines.

Authors:  Shaija Samuel; Puja Gaur; Fan Fan; Ling Xia; Michael J Gray; Nikolaos A Dallas; Debashish Bose; Cristian Rodriguez-Aguayo; Gabriel Lopez-Berestein; Greg Plowman; Anil Bagri; Anil K Sood; Lee M Ellis
Journal:  PLoS One       Date:  2011-10-20       Impact factor: 3.240

10.  Neuropilin-2 induced by transforming growth factor-β augments migration of hepatocellular carcinoma cells.

Authors:  Philipp Wittmann; Markus Grubinger; Christian Gröger; Heidemarie Huber; Wolfgang Sieghart; Markus Peck-Radosavljevic; Wolfgang Mikulits
Journal:  BMC Cancer       Date:  2015-11-16       Impact factor: 4.430

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  6 in total

Review 1.  Role of Neuropilin-2-mediated signaling axis in cancer progression and therapy resistance.

Authors:  Ridwan Islam; Juhi Mishra; Sanika Bodas; Sreyashi Bhattacharya; Surinder K Batra; Samikshan Dutta; Kaustubh Datta
Journal:  Cancer Metastasis Rev       Date:  2022-07-01       Impact factor: 9.237

2.  Roles for VEGF-C/NRP-2 axis in regulating renal tubular epithelial cell survival and autophagy during serum deprivation.

Authors:  Xiaoyan Chang; Qian Yang; Conghui Zhang; Ying Zhang; Xinjun Liang; Yanyan Liu; Gang Xu
Journal:  Cell Biochem Funct       Date:  2019-06       Impact factor: 3.685

3.  MiR-146a Regulates Migration and Invasion by Targeting NRP2 in Circulating-Tumor Cell Mimicking Suspension Cells.

Authors:  Yeojin Do; Jin Gu Cho; Ji Young Park; Sumin Oh; Doyeon Park; Kyung Hyun Yoo; Myeong-Sok Lee; Byung Su Kwon; Jongmin Kim; Young Yang
Journal:  Genes (Basel)       Date:  2020-12-30       Impact factor: 4.096

Review 4.  Neuropilin (NRPs) Related Pathological Conditions and Their Modulators.

Authors:  Matic Broz; Anja Kolarič; Marko Jukič; Urban Bren
Journal:  Int J Mol Sci       Date:  2022-07-29       Impact factor: 6.208

Review 5.  TGF-β superfamily co-receptors in cancer.

Authors:  John B Pawlak; Gerard C Blobe
Journal:  Dev Dyn       Date:  2021-04-09       Impact factor: 3.780

6.  N2E4, a Monoclonal Antibody Targeting Neuropilin-2, Inhibits Tumor Growth and Metastasis in Pancreatic Ductal Adenocarcinoma via Suppressing FAK/Erk/HIF-1α Signaling.

Authors:  Li Wang; Lanlan Wang; Shengyu Wang; Zonglang Zhou; Zongjunlin Liu; Peilan Xu; Xian Luo; Ting Wu; Fanghong Luo; Jianghua Yan
Journal:  Front Oncol       Date:  2021-07-15       Impact factor: 6.244

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