Literature DB >> 24556620

Anticancer effects of gemcitabine are enhanced by co-administered iRGD peptide in murine pancreatic cancer models that overexpressed neuropilin-1.

Y Akashi1, T Oda1, Y Ohara1, R Miyamoto1, T Kurokawa1, S Hashimoto1, T Enomoto1, K Yamada1, M Satake2, N Ohkohchi1.   

Abstract

BACKGROUND: Impaired drug transport is an important factor that reduces the efficacy of anticancer agents against pancreatic cancer. Here, we report a novel combination chemotherapy using gemcitabine (GEM) and internalised-RGD (iRGD) peptide, which enhances tumour-specific drug penetration by binding neuropilin-1 (NRP1) receptor.
METHODS: A total of five pancreatic cancer murine models (two cell line-based xenografts (CXs) and three tumour grafts (TGs)) were treated with either GEM (100 mg kg(-1), q3d × 4) alone or GEM plus iRGD peptide (8 μmol kg(-1)). Evaluation of NRP1 expression in xenografts and 48 clinical cancer specimens was performed by immunohistochemistry (IHC).
RESULTS: We identified a subset of pancreatic cancer models that showed NRP1 overexpression sensitive to iRGD co-administration. Treatment with GEM plus iRGD peptide resulted in a significant tumour reduction compared with GEM monotherapy in CXs, but not remarkable in TGs. Potential targets of iRGD were characterised as cases showing NRP1 overexpression (IHC-2+/3+), and these accounted for 45.8% of the clinical specimens.
CONCLUSIONS: Internalised RGD peptide enhances the effects of co-administered drugs in pancreatic cancer models, its efficacy is however only appreciable in those employing cell lines. Therefore, the clinical application needs to be given careful consideration.

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Year:  2014        PMID: 24556620      PMCID: PMC3960621          DOI: 10.1038/bjc.2014.49

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Pancreatic cancer is one of the most intractable human malignancies, and the median survival of patients receiving the current standard therapeutic regimen with gemcitabine (GEM) is <6 months (Burris ; Tempero ). Insufficient therapeutic efficacy of anticancer drugs for solid tumours may be explained by the limited penetration of drugs into the cancer tissue (Ruoslahti ). In fact, intravenously injected drugs are known to penetrate only a few cell diameters from blood vessels into the extravascular tumour tissue (Jain, 1999; Heldin ). Therefore, a strategy for inducing drug hyperpermeability from tumour vessels might improve drug delivery to solid tumours. Recently, a peptide known as iRGD (internalised-RGD) has developed (Sugahara , 2010). This peptide induces tumour-specific vascular hyperpermeability by binding to αv integrins that are specifically expressed on the endothelium of the tumour or angiogenic vessels. Co-administration of this peptide has been shown to markedly enhance the intratumoral accumulation of various agents with a wide range of molecular sizes in comparison with single administration, including doxorubicin (580 Da, 7-fold), dextran (1300–10 000 Da, 3- to 5-fold), Evans blue dye (66 000 Da, 2- to 4-fold), trastuzumab (148 000 Da, 40-fold), doxorubicin-liposome (Doxil, Janssen Pharmaceutica, Beerse, Belgium) (120 nm, 14-fold), and nab-paclitaxel (abraxane; Abraxis BioScience, Los Angeles, CA, USA) (130 nm, 9- to 12-fold), in mouse breast or prostate cancer models (Sugahara ). Activation of circulating iRGD peptide requires interaction with neuropilin-1 (NRP1) (Sugahara ). Intravenously administered iRGD peptide initially accumulates in tumour vessels by binding to endothelial αv integrin, and then its C-terminus is cleaved to expose an arginine or lysine residue (=C-end rule (CendR) motif), before drug penetration deeply into the parenchyma of solid tumours occurs through interaction with NRP1 (Sugahara ; Teesalu ). Neuropilin-1 is a multifunctional non-tyrosine kinase receptor that binds to class 3 semaphorins and the vascular endothelial growth factor (VEGF) family, playing essential roles in mediating axonal guidance and angiogenesis (Soker ; Kolodkin ). It is reportedly correlated with tumour progression and/or poor prognosis in various cancers, including pancreatic cancer (Parikh ; Hansel ; Li ; Fukahi ; Müller ). However, as the clinical sample sizes evaluated were limited, that is, only 10 cases or less, the expression profile and prognostic significance of NRP1 in pancreatic cancer has remained unclear. The characteristics of iRGD peptide in solid cancers seem to warrant further investigation, especially in those with a dismal prognosis such as pancreatic cancer. However, there have been no comprehensive in vivo studies using pancreatic cancer models, and the effects of iRGD peptide used in combination with GEM, a key drug employed worldwide for treatment of pancreatic cancer, have not been tested. In the present study, therefore, we examined the effectiveness of iRGD peptide for boosting drug accumulation in eight different mouse pancreatic cancer xenograft models. The anticancer booster effect of combination therapy with GEM plus iRGD peptide was evaluated with reference to in vivo experiments and analysis of NRP1 expression in clinical cases of pancreatic cancer.

Materials and methods

Drugs

The iRGD peptide (Sequence; CRGDKGPDC, disulphide bridge; C1–C9, Purity; >95%) we used for this study was delivered from a contract manufacturing company (American Peptide Company, Sunnyvale, CA, USA). A small quantity of the original iRGD peptide and control peptide (iRGE; CRGEKGPDC) were kindly provided by Drs Sugahara and Ruoslahti (UCSB, University of California, Santa Barbara), and the pharmaceutical power of our peptide was confirmed to be equivalent (data not shown). The other drugs purchased were Evans blue dye (MP Biomedicals, Santa Ana, CA, USA), dextran Alexa fluor 488 (D-22910, 10 000 Da MW; Molecular Probes, Eugene, OR, USA), and GEM (Gemzar; Eli Lilly, Indianapolis, IN, USA).

Cell lines and cell line-based models (=cell xenografts)

The human pancreatic cancer cell lines AsPC-1 (CRL-1682), BxPC-3 (CRL-1687), and Capan-1 (HTB-79) were purchased from ATCC (Manassas, VA, USA). MIA PaCa-2 (JCRB0070) and SUIT-2 (JCRB1094) were purchased from JCRB Cell Bank (Osaka, Japan). AsPC-1, BxPC-3, and Capan-1 were cultured in RPMI-1640 medium (Sigma-Aldrich, MO, USA) with 10% fetal bovine serum. SUIT-2 and MIA PaCa-2 were cultured in Dulbecco's Modified Eagle Medium (DMEM; Sigma-Aldrich) with 5% and 10% fetal bovine serum. CXs were created by injecting these human pancreatic cancer cells (5 × 106 cells) into the dorsal subcutaneous space of C.B-17/Icr-scid/scid mice (female, 6 to 8 weeks old, CLEA Japan, Tokyo, Japan).

Transplant models using surgically removed tumour fragments (=tumor grafts)

Pancreatic tumour grafts (TGs) were established by transplantation of fresh surgically resected tissue fragments of human pancreatic cancer. Samples were obtained under sterile conditions, avoiding apparently necrotic tissue and areas of normal pancreatic parenchyma. The samples were cut into 2 × 2 × 2 mm pieces, placed immediately in normal saline solution, and cooled on ice until implantation (usually within 30 min to 1 h). All human samples employed in the experiments were harvested after informed consent in documents, and the establishment and the experimental use of ‘tumour grafts' were approved by laboratory animal resource centre at University of Tsukuba. More details about the methods and characteristics of TGs are described in our previous report (Akashi ).

In vivo systemic permeability assay

Tumour-bearing mice were injected intravenously with 100 μl of PBS containing either 1% Evans blue dye or 0.3 mg of dextran. Internalised-RGD peptide (100 μl, 12 μmol kg−1) or PBS was also injected via the tail vein 10 min beforehand. After 30 min of circulation, the mice were perfused with PBS containing 1% BSA, and their organs were collected. For Evans blue quantification, the dye was extracted from whole tumour tissue collected from each mice in N, N-dimethyl formamide (Sigma-Aldrich) for 24 h at 37 °C and quantified by measuring the absorbance at 600 nm with a spectrophotometer and the measured results were normalised by the tumour weight (Sugahara ). Harvest tissues after dextran administration group were immediately fixed with 4% paraformaldehyde for 24 h, frozen in optimum cutting temperature (OCT) solution, and stored at −80 °C.

Immunofluorescence

Tissue specimens frozen in OCT solution were sectioned (5 μm thick), mounted on slides, and air dried for 30 min. The primary antibody was goat anti-mouse CD31 (AF3628; R&D Systems, Minneapolis, MN, USA), and the secondary antibody was anti-goat Alexa Fluor 546 (Life Technologies, Grand Island, NY, USA). The sections showing immunofluorescence were scanned with a microscope (BZ-9000; Keyence Japan, Osaka, Japan).

Quantification of dextran distribution

Dextran distribution was evaluated by arbitrary selected four hotspots per tumour. These hotspots were selected from the central area of the tumour including cancer cell nests, and avoiding the peritumoral stromal areas. The fluorescent area above a certain threshold in each 200 magnification field was calculated using the Image J software (v1.44p, Rasvand, National Institutes of Health, USA), and the measurement results were averaged.

Tumour treatment study

Mice bearing tumours (two CXs (BxPC-3 and MIA PaCa-2) and three TGs (PC-03, 09, and 10)) received an intra-peritoneal injection of GEM (100 mg kg−1) or saline (100 μl) twice a week for 2 weeks. The treatment was combined with intravenous injection of iRGD peptide at 8 μmol kg−1 or PBS 10 min before GEM injection. The mice were weighed and tumour volume was measured twice per week. All xenografts were harvested 28 days after the start of treatment. Tumour volume was calculated using the formula: volume (mm3)=(d2 × D)/2, where d is the smallest and D is the largest tumour diameter.

Clinical specimens of pancreatic cancer

Forty-eight consecutive patients, who underwent surgery for pancreatic cancer at Tsukuba University Hospital between September 2003 and April 2009, were included in the study. Histologically proven cases of pancreatic ductal adenocarcinoma were included, and cancers derived from intraductal papillary mucinous neoplasms were excluded. None of the patients had received neo-adjuvant chemotherapy or irradiation before surgery. Specimens of pancreatic cancer tissue obtained with the patient's consent were fixed in 10% formalin solution and embedded in paraffin. The pathological diagnoses and classifications were made on the basis of the UICC TNM classification of malignant tumours, 7th edition (Sobin ).

Immunohistochemistry

Paraffin-embedded sections were deparaffinised in xylene and dehydrated through a graded ethanol series. The sections were heated in Tris-EDTA buffer (pH 9.0) for 10 min at 121 °C in an autoclave for antigen retrieval, and endogenous peroxidase was quenched in 0.03% hydrogen peroxidase for 15 min. The specimens were then incubated with the primary antibody: anti-NRP1 (sc-5307, 1 : 50; Santa Cruz Biotechnology, Santa Cruz, CA, USA) overnight at 4 °C, or anti-CD31 (LS-B1932; LifeSpan BioSciences, Seattle, WA, USA) for 1 h at room temperature. The remaining steps were carried out with the Envision+ System-HRP (DAKO, Glostrup, Denmark), followed by counterstaining with haematoxylin. Specificity of this antibody was verified by immunostaining of human kidney tissue samples. To assess tissue NRP1 expression, the sections were scored semi-quantitatively (on a scale of Immunohistochemistry (IHC)-0–3: negative=0, weak=1, moderate=2, and strong=3) according to the intensity of chromogen deposition in 10% or more of the neoplastic cells.

Microvessel density

Microvessel density (MVD) was measured by counting the number of CD31-positive blood vessels at selected hotspots in high-magnification fields ( × 200). Four randomly selected regions were analysed and averaged.

Statistical analysis

Values are presented as the means and standard deviation. Statistical analyses were conducted using Dr SPSS II for Windows software (SPSS Inc., Chicago, IL, USA). Differences between groups were assessed statistically using Student's t-test or Tukey–Kramer test for parametric data, or the Mann–Whitney U-test for non-parametric data. Overall and disease-free survival curves were drawn according to the Kaplan–Meier method, and differences between the curves were analysed by applying the log-rank test. Multivariate Cox regression analysis was used to analyse the independent prognostic factors related to survival. Differences at P<0.05 were considered to be statistically significant.

Results

Correlation of NRP1 overexpression with poor outcome in clinical cases of pancreatic cancer

Neuropilin-1 immunostaining in clinical specimens of pancreatic ductal adenocarcinoma from 48 patients was predominantly identified in the cytoplasm and on the cell surfaces of malignant ductal cells (Figure 1). According to the semi-quantitative assessment criteria employed, the specimens were divided into 4 groups: 9 cases (19.7%) that were negative (IHC-0, Figure 1A), 17 (35.4%) that were weakly immunostained (IHC-1+, Figure 1B), 12 (25.0%) that were moderately immunostained (IHC-2+, Figure 1C), and 10 (20.8%) that showed strongly positive immunostaining (IHC-3+, Figure 1D). Comparisons between low NRP1 expression (IHC-0/1+) and high NRP1 expression (IHC-2+/3+) demonstrated similar clinicopathological features, except for MVD within the tumour (P=0.018, Table 1). The 3- and 5-year survival rates for the 48 patients overall were 54.2% and 12.5%, respectively. Kaplan–Meier analysis demonstrated a significant difference in overall survival between the groups showing high NRP1 expression (median 16.7 months, range 0.5–46.6 months) and low NRP1 expression (median 34.9 months, range 5.6–94.3 months) (P=0.0278, Figure 1E). Disease-free survival also differed significantly between high (median 8.2 months, range 0.5–46.6 months) and low NRP1 expression (median 16.1 months, range 3.2–94.3 months) (P=0.017, Figure 1F). Multivariate analysis using the Cox proportional hazards model indicated that, apart from positivity for lymph-node metastasis (hazard ratio (HR)=5.620, 95% confidence interval (CI): 1.312–24.071, P=0.020), involvement of the resection margin (HR=5.394, 95% CI: 2.227–13.068, P<0.001) and high expression of NRP1 (HR=2.391, 95% CI: 1.045–5.469, P=0.039) were significantly correlated with poor overall survival, and were independent prognostic factors for pancreatic cancer (Table 2).
Figure 1

( Nine (18.8%) cases were negative (IHC-0, A), 17 (35.4%) were weakly positive (IHC-1+, B), 12 (25.0%) were moderately positive (IHC-2+, C), and 10 (20.8%) were strongly positive (IHC-3+, D). (E and F) Kaplan–Meier analysis of overall survival (E) and disease-free survival (F) in relation to low (IHC-0/1+) or high (IHC-2+/3+) NRP1 expression in pancreatic cancer. Patients with high NRP1 expression showed shorter overall survival (P=0.0278) and disease-free survival (P=0.0173) than patients with low NRP1 expression.

Table 1

Correlation between neuropilin-1 (NRP1) expression and clinicopathological parameters of patients with pancreatic cancer

 
 
NRP1 level
 
CharacteristicsAll casesLowHighχ2P-value
Total participants
48
26
22
 
 
Age at surgery (years)
<6014860.0030.958
⩾60
34
18
16
 
 
Gender
Male2413110.0840.772
Female
24
13
11
 
 
Tumour grade
Well2110.0310.985
Moderately442420  
Poorly
2
1
1
 
 
Tumour location
Head4023170.4200.517
Body/Tail
8
3
5
 
 
Tumour size
<40 mm2916130.0150.902
⩾40 mm
19
10
9
 
 
T factor
T1/T22201.8120.404
T31688  
T4
30
16
14
 
 
Lymph-node metastasis
Positive3517180.9040.342
Negative
13
9
4
 
 
Vascular invasion
Positive12481.7900.181
Negative
36
22
14
 
 
Perineural invasion
Positive2411130.7550.385
Negative
24
15
9
 
 
Microvessel densitya
<25161335.5490.018
⩾25
32
13
19
 
 
Resection margin
Positive13760.0890.765
Negative
35
19
16
 
 
CEA
Normal201370.9590.327
High
28
13
15
 
 
CA19-9
Normal161243.0320.082
High321418  

Abbreviation: CEA=carcinoembryonic antigen.

Number of vessels per 100 magnification field.

Table 2

Cox proportinal hazards model of prognostic factors in patients with pancreatic cancer (n=48)

 
Univariate analysis
Multivariate analysis
FactorHR95% CIP-valueHR95% CIP-value
Age (⩾60 years)
0.934
0.418–2.084
0.867
NA
NA
NA
Gender (male)
0.885
0.415–1.887
0.752
NA
NA
NA
T factor (T4)
1.433
0.642–3.199
0.380
NA
NA
NA
Tumour size (⩾40 mm)
2.166
1.010–4.646
0.047
1.738
0.748–4.042
0.199
Lymph-node status (positive)
6.712
1.585–28.421
0.010
5.620
1.312–24.071
0.020
Vascular invasion (positive)
1.768
0.769–4.068
0.180
NA
NA
NA
Perineural invasion (positive)
1.726
0.797–3.740
0.166
NA
NA
NA
Resection margin (positive)
5.757
2.501–13.251
<0.001
5.394
2.227–13.068
<0.001
Microvessel densitya (⩾25)
1.214
0.543–2.715
0.637
NA
NA
NA
Neuropilin-1 expression (high)2.3341.072–5.0830.0332.3911.045–5.4690.039

Abbreviations: CI=confidence interval; HR=hazard ratio; NA=not applicable.

Number of vessels per 100 magnification field.

iRGD peptide facilitates drug penetration into murine pancreatic cancer models showing NRP1 overexpression

To investigate the activity of iRGD peptide, co-injection of Evans blue dye, and fluorochrome-labelled dextran was performed. Evans blue dye accumulation was enhanced 1.9-fold in two CXs (BxPC-3 and MIA PaCa-2) by co-administration of iRGD; however, enhanced dye accumulation was not observed in the remaining three CXs (Figure 2A; Supplementary Figure S1).
Figure 2

( Co-administration of iRGD peptide with a drug (black bar) was compared with administration of a single drug alone (grey bar) or iRGE peptide (white bar). Dye accumulation was enhanced 1.9-fold in BxPC-3 and MIA PaCa-2, but not in SUIT-2. Control peptide (iRGE) showed no enhancement of dye accumulation (N=4 per group). (B) Neuropilin-1 (NRP1) expression in animal models ( × 400 magnification; scale bar, 100 μm). Overexpression of NRP1 was shown in BxPC-3 (upper) and MIA PaCa-2 (not shown), but not in SUIT-2 (lower). (C and D) Distribution of fluorochrome (Alexa-488, green)-labelled dextran in frozen sections of PC-09 ( × 200 magnification; scale bar, 200 μm). Tumour vasculature was stained with anti-CD31 antibody (red), and nuclei were stained with DAPI (blue). Dextran appeared faintly after single administration (C), and it was more widely distributed with a stronger intensity after co-administration with iRGD peptide (D). (E) The areas of dextran distribution were calculated and compared. iRGD co-administration increased the area of dextran distribution 1.8-fold in BxPC-3 (P=0.001), 2.1-fold in MIA PaCa-2 (P=0.024), 1.7-fold in PC-03 (P=0.008), 3.0-fold in PC-09 (P=0.001), and 1.9-fold in PC-10 (P=0.040). *P<0.05, **P<0.01.

To evaluate the correlation between the iRGD inducing drug penetration effect and NRP1 expression in cancer cells, IHC was performed. Two CXs that showed enhanced dye accumulation were strongly positive (3+), and the remaining three CXs were weakly positive (1+) (Figure 2B; Supplementary Figure S2). Three CXs (BxPC-3, MIA PaCa-2, and SUIT-2) and three TGs that showed NRP1 overexpression (Supplementary Figure S2) were employed in dextran experiments. Co-administration of iRGD peptide induced the dextran penetration into tumour parenchyma compared with dextran single administration (Figures 2C and D). Extended dextran-positive areas in CXs were 1.8-fold in BxPC-3 (P=0.001) and 2.1-fold in MIA PaCa-2 (P=0.024), but had no effect in SUIT-2 (Figure 2E). Penetration of dextran by co-administration of iRGD peptide was also observed in TGs, the areas of dextran distribution were extended 1.7-fold in PC-03 (P=0.008), 3.0-fold in PC-09 (P=0.001), and 1.9-fold in PC-10 (P=0.040) (Figure 2E).

Enhancement of the anticancer effect by co-administration of GEM and iRGD peptide in comparison with GEM monotherapy

Enhanced drug penetration into tumour was evaluated by Evans blue dye as a drug substitute tracer (Figure 3A). Drug accumulations in two CXs and one TG (PC-03) were significantly enhanced by iRGD co-administration; however, the effects in other two TGs (PC-09 and 10) were not remarkable. Similarly, co-administration of iRGD with GEM significantly decreased tumour growth in comparison with GEM monotherapy in BxPC-3 (P=0.046, Figures 3B and C) and MIA PaCa-2 (P=0.037, Figure 3C). One TG model (PC-03) also showed a significant tumour growth suppression by the combination therapy (P=0.048), but the other two TGs (PC-09 and 10) exhibited no significant differences (Figure 3C). The body weight of mice was decreased on days 12 and 15 in the GEM administered groups relative to the control group, but there was no significant difference in body weight between the iRGD co-administration group and the GEM monotherapy group (data not shown).
Figure 3

Tumour treatment studies involving co-administration of iRGD peptide. (A) Enhanced drug accumulation into tumour using Evans blue dye as a drug substitute tracer. Drug accumulations were enhanced about twofolds by iRGD in two CXs and one TG; however, the effects were not significant in another two TGs. (B) Tumour appearances in ectopic BxPC3 models at 28 days after the treatment initiation. (C) Tumour growth curves of gemcitabine (GEM) and iRGD combination therapy. Tumour-bearing mice were injected with 100 mg kg−1 gemcitabine or 100 μl of PBS (twice per week for 2 weeks; days 1, 4, 8, and 11; arrows show the day of infusion) combined with injection of PBS (Control, and GEM groups) or 8 μmol kg−1 iRGD peptide (iRGD, and GEM+iRGD group) 10 min beforehand (N=4 per group). Tumour growth curves of two CXs (BxPC-3 and MIA PaCa-2) and three TGs (PC-03, PC-09, and PC-10) are indicated. *P<0.05, **P<0.01, ***P<0.001; n.s., not statistically significant.

Discussion

The present study conducted to re-evaluate the use of iRGD peptide demonstrated that it boosted the accumulation of drugs in two of five pancreatic cancer CXs that showed high expression of NRP1, and the anticancer effects of GEM were also enhanced by iRGD co-administration in these two CXs. We concluded that iRGD co-administration therapy would be indicated for nearly half of all patients with pancreatic cancer showing NRP1 overexpression, and we further evaluated this possibility using clinically relevant murine pancreatic cancer TG models. Enhancement of drug accumulation by iRGD was also observed in TGs, but the effects were less marked than those in CXs. Additionally, a significant anticancer booster effect of GEM plus iRGD combination therapy was observed in only one model. First, our experiments using five CXs reconfirmed the enhanced drug accumulation effect of iRGD peptide. It was noteworthy that our experiments demonstrated that the effect of iRGD was dependent on the level of NRP1 expression; that is, the effects of iRGD were marked in two high-NRP1 CXs, but not significant in three low-NRP1 models. These results suggest that iRGD peptide co-administration would be beneficial for subset patients with NRP1-overexpressing tumours, similarly to a molecular targeting agent. We then evaluated the populations of pancreatic cancer overexpressing NRP1 in clinical specimens. Neuropilin-1 overexpression was seen in 45.8% of specimens, and the patients concerned had worse outcomes than patients whose tumours had low NRP1 expression (Figures 1E and F). Neuropilin-1 is known to be a co-receptor that enhances the binding of VEGF-A to the VEGF receptor (Soker ), and NRP1 overexpression induces upregulation of VEGF signalling that is associated with angiogenesis and cancer metastases (Poon ). Our finding that NRP1 overexpression was associated with higher MVD (Table 1) was considered to reflect upregulation of VEGF signalling. However, it should also be noted that resistance to GEM might have contributed to the differences in outcome. Neuropilin-1-overexpressing pancreatic cancer cell lines showed chemoresistance to GEM in vitro (Wey ). All of the patients included in our study had received GEM-based adjuvant chemotherapy, and the effects of drug resistance should therefore be considered. The effect of iRGD peptide in enhancing drug penetration is expected to improve the efficacy of treatment for dismal solid tumours, including pancreatic cancer. However, CXs do not adequately represent the clinical features of pancreatic cancer. We therefore employed pancreatic TGs, which have been reported to show better clinical predictive ability (Dong ; Hidalgo ; Morelli ), and our previous evaluation had indicated that the drug delivery characteristics of TGs were more clinically reproducible. Histological findings of pancreatic TGs were more similar to clinical pancreatic cancer compared with CXs, as showing the atypical cancer glands and stromal tissues (Supplementary Figure S2). Internalised-RGD peptide certainly induced drug penetration in all TGs that were overexpressed NRP1, combination therapy using iRGD peptide was considered to be applicable for clinical pancreatic cancer. Finally, the efficacy of iRGD peptide co-administration with GEM was verified using five pancreatic cancer models that showed enhanced drug accumulation in dextran experiments. In three models, iRGD peptide significantly enhanced drug accumulation into tumour (Figure 3A). Anticancer effect of GEM was also enhanced by iRGD co-administration in these three models (Figure 3C). Therefore, it seems possible to co-administer GEM, which is a key first-line drug for pancreatic cancer, with iRGD peptide, though the molecular size of GEM (0.3 kDa) is smaller than that of agents previously validated (0.6 kDa–130 nm, Sugahara ). On the other hand, enhanced drug accumulations by iRGD peptide in the remaining two TGs were limited (Figure 3A), and the anticancer effects were also not significantly enhanced (Figure 3C). A major factor influencing the results was considered to be different histological findings among these models. Drug penetrations around the perfusing tumour vessels were not so different between CXs and TGs as shown in dextran experiments (Figure 2E). However, TGs included relative fewer blood vessels and more stromal tissues like clinical pancreatic cancer, as we previously reported (Akashi ). We therefore considered that the efficacy of iRGD co-administration might be limited in clinical pancreatic cancer, characterised as poor vascularity and prominent desmoplastic reaction. A TG model (PC-03) that showed significant effect of iRGD peptide was established by transplantation of liver metastatic cancer tissue, whereas the other two TGs (PC-09 and 10) were established from primary pancreatic cancer. Histological findings of PC-03 (Supplementary Figure S2) were relatively similar to CXs, as characterised as hypervascular and fewer stromal tissues (Supplementary Figure S2; Akashi ). Paradoxically, it is presumed that the impact of histological features on the iRGD efficacy is greater. Though, the difference of drug susceptibility between CXs and TGs should be accounted for the interpretation of our results. As shown in Figure 3C, GEM monotherapy showed <50% inhibition of tumour growth in two CXs. In contrast, tumour growths in both TGs were significantly supressed by GEM monotherapy. Therefore, further validations, such as experiments using GEM-resistant TGs, might be required. Our re-evaluations of iRGD peptide demonstrated a substantial booster accumulation effect of drugs in mouse pancreatic cancer models with high NRP1 expression, and this effect may be exploitable in nearly half of all patients with pancreatic cancer showing high NRP1 expression. Since the booster anticancer effects of iRGD co-administration with GEM were marked only in cell line-based models but not so great in TGs, the possible clinical application of iRGD peptide should be considered carefully.
  22 in total

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Authors:  Tambet Teesalu; Kazuki N Sugahara; Venkata Ramana Kotamraju; Erkki Ruoslahti
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-02       Impact factor: 11.205

10.  Association of axon guidance factor semaphorin 3A with poor outcome in pancreatic cancer.

Authors:  Michael W Müller; Nathalia A Giese; Jakub M Swiercz; Güralp O Ceyhan; Irene Esposito; Ulf Hinz; Peter Büchler; Thomas Giese; Markus W Büchler; Stefan Offermanns; Helmut Friess
Journal:  Int J Cancer       Date:  2007-12-01       Impact factor: 7.396

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  27 in total

1.  Targeting the Tumor Core: Hypoxia-Responsive Nanoparticles for the Delivery of Chemotherapy to Pancreatic Tumors.

Authors:  Matthew I Confeld; Babak Mamnoon; Li Feng; Heather Jensen-Smith; Priyanka Ray; James Froberg; Jiha Kim; Michael A Hollingsworth; Mohiuddin Quadir; Yongki Choi; Sanku Mallik
Journal:  Mol Pharm       Date:  2020-07-22       Impact factor: 4.939

2.  iRGD peptide conjugation potentiates intraperitoneal tumor delivery of paclitaxel with polymersomes.

Authors:  Lorena Simón-Gracia; Hedi Hunt; Pablo Scodeller; Jens Gaitzsch; Venkata Ramana Kotamraju; Kazuki N Sugahara; Olav Tammik; Erkki Ruoslahti; Giuseppe Battaglia; Tambet Teesalu
Journal:  Biomaterials       Date:  2016-07-20       Impact factor: 12.479

Review 3.  Marine anticancer drugs and their relevant targets: a treasure from the ocean.

Authors:  Manisha Nigam; Hafiz Ansar Rasul Suleria; Mohammad Hosein Farzaei; Abhay Prakash Mishra
Journal:  Daru       Date:  2019-06-05       Impact factor: 3.117

4.  A tumor-penetrating peptide enhances circulation-independent targeting of peritoneal carcinomatosis.

Authors:  Kazuki N Sugahara; Pablo Scodeller; Gary B Braun; Tatiana Hurtado de Mendoza; Chisato M Yamazaki; Michael D Kluger; Joji Kitayama; Edwin Alvarez; Stephen B Howell; Tambet Teesalu; Erkki Ruoslahti; Andrew M Lowy
Journal:  J Control Release       Date:  2015-06-11       Impact factor: 9.776

5.  NRP1 transport of cancer therapeutics mediated by tumor-penetrating peptides.

Authors:  Qixin Leng; Martin C Woodle; A James Mixson
Journal:  Drugs Future       Date:  2017-02       Impact factor: 0.148

6.  Tumor-Penetrating Nanoparticles for Enhanced Anticancer Activity of Combined Photodynamic and Hypoxia-Activated Therapy.

Authors:  Yazhe Wang; Ying Xie; Jing Li; Zheng-Hong Peng; Yuri Sheinin; Jianping Zhou; David Oupický
Journal:  ACS Nano       Date:  2017-02-06       Impact factor: 15.881

7.  Tumor-Penetrating Nanosystem Strongly Suppresses Breast Tumor Growth.

Authors:  Shweta Sharma; Venkata Ramana Kotamraju; Tarmo Mölder; Allan Tobi; Tambet Teesalu; Erkki Ruoslahti
Journal:  Nano Lett       Date:  2017-02-17       Impact factor: 11.189

8.  Enhanced tumor uptake and activity of nanoplex-loaded doxorubicin.

Authors:  Na Zhao; Qixin Leng; Martin C Woodle; A James Mixson
Journal:  Biochem Biophys Res Commun       Date:  2019-04-04       Impact factor: 3.575

9.  Competition of charge-mediated and specific binding by peptide-tagged cationic liposome-DNA nanoparticles in vitro and in vivo.

Authors:  Emily Wonder; Lorena Simón-Gracia; Pablo Scodeller; Ramsey N Majzoub; Venkata Ramana Kotamraju; Kai K Ewert; Tambet Teesalu; Cyrus R Safinya
Journal:  Biomaterials       Date:  2018-03-02       Impact factor: 12.479

Review 10.  Tumor penetrating peptides for improved drug delivery.

Authors:  Erkki Ruoslahti
Journal:  Adv Drug Deliv Rev       Date:  2016-04-01       Impact factor: 15.470

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