Literature DB >> 23828517

Clinical impact of pentraxin family expression on prognosis of pancreatic carcinoma.

S Kondo1, H Ueno, H Hosoi, J Hashimoto, C Morizane, F Koizumi, K Tamura, T Okusaka.   

Abstract

BACKGROUND: Inflammatory mediators may have decisive roles at different stages of tumour development. Mediators within the pentraxin family may be used as strong biomarkers in prognosis of advanced pancreatic carcinoma patients.
METHODS: Using pancreatic carcinoma cell lines and gene transfectant, we measured long pentraxin (PTX3) level in culture solution and carried out cellular migration assay in vitro. In vivo study of the treatment-naive patients with advanced pancreatic carcinoma assigned to undergo gemcitabine therapy was prospectively conducted to measure and investigate the role of plasma PTX3, C-reactive protein (CRP), and eight inflammatory mediators by using collected clinical data.
RESULTS: Elevated PTX3 production was observed in several cell lines, and a direct relationship between migratory activity and PTX3 level was identified in vitro. High PTX3 level (117 days) was significantly less than that of patients with low PTX3 level (357 days, P<0.001). Multivariate analysis of the pancreatic carcinoma revealed a strong correlation between pentraxin family member expression and prognosis of pancreatic carcinoma. The relationship between PTX3 expression and the expression of other pro-inflammatory mediators indicated that PTX3 level is positively correlated with levels of CRP, interleukin-6, and macrophage-inhibitory factor.
CONCLUSION: Pentraxin family members, especially PTX3, may be used as promising biomarkers in the prognosis of pancreatic carcinoma patients.

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Year:  2013        PMID: 23828517      PMCID: PMC3738116          DOI: 10.1038/bjc.2013.348

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


Pancreatic carcinoma is one of the most lethal cancers and is the fourth leading cause of cancer-related death in developed nations (Jemal ). As pancreatic carcinoma has a high propensity for both local invasion and distant metastasis, surgical treatment is precluded for most patients who present with an advanced stage of the disease. Despite many treatment advances that have improved the outcomes of some pancreatic carcinoma patients, standard therapy has been found to have only a modest beneficial impact on advanced-stage patients (Vincent ), as reflected in their 5-year overall survival (OS) of <5% (Jemal ). Identification of biomarkers that accurately predict disease recurrence, response to chemotherapy, and/or prognosis would be of substantial aid in individual risk assessment and treatment selection. Identification of targets for molecular intervention in specific subsets of patients may even lead to the development of novel therapies. There is thus a need to identify a superior marker of prognosis to enable the improved survival of advanced pancreatic carcinoma patients. Inflammatory responses have decisive roles at different stages of tumour development, including initiation, promotion, malignant conversion, invasion, and metastasis, and affect immune surveillance and response to therapy. The invasive capacity of malignant cells has been observed to increase in the presence of inflammatory cytokines, including TNF-alpha, interleukin (IL)-1beta, and IL-6, as well as transcription factors, including AP-1, NF-κB, and STAT3 (Mantovani ). In a previous study, we identified C-reactive protein (CRP), which is produced via IL-6 and TNF-alpha stimulation in the liver, as an important factor in the prognosis of pancreatic carcinoma (Morizane ). In other studies, long pentraxin (PTX3), a member of the pentraxin family, which includes CRP and whose members may have a significant role in tumour inflammatory and malignant behaviours, was reported to be overexpressed in several malignancies, including liposarcomas (Germano ) and lung cancer (Diamandis ). These findings indicate that reduction of the key inflammatory mediators may be an important means of promoting antitumour activity. In a previous study, we had observed direct secretion of PTX3 from pancreatic carcinoma cell lines in vitro. Building on this finding, we aimed to determine the biological significance of PTX3 in pancreatic cancer via further in vitro study of several pancreatic carcinoma cells lines, as well as prospective clinical investigation of the clinical significance of plasma PTX3 expression in chemotherapy-naive pancreatic carcinoma patients. We found that PTX3 expression might be a promising biomarker for pancreatic carcinoma prognosis.

Materials and Methods

Cells, plasmids, and transfection procedures

The PANC-1 (ATCC number: CRL-1469), MIA PaCa-2 (ATCC number: CRL-1420), BxPC-3 (ATCC number: CRL-1687), and AsPC-1 (ATCC number: CRL-1682) pancreatic carcinoma cell lines were obtained from the American Type Culture Collection (Rockville, MD, USA). Dulbecco's Modified Eagle's Medium with 10% fetal bovine serum (FBS) was used as the base medium for the PANC-1 and MIA PaCa-2 lines, and RPMI with 10% FBS was used as the growth medium for the BxPC-3 and AsPC-1 lines. We used the transfectant pCMV6-entry PTX3 open reading frame (ORF) clones (OriGene Technologies, Inc., Rockville, MD, USA; cat. no. RC207922) to investigate the cellular activity induced by intracellular PTX3 overexpression. The plasmids were transfected into cells using Lipofectamine 2000 (Life Technologies Corp., Carlsbad, CA, USA). In experiments using neomycin-resistant vectors, transfected cells were selected using 0.5 mg ml−1 of G-418 to establish stable transformants.

Cell migration and invasion assay

Cell migration assay was performed as described previously using Transwell inserts (5-μM pore size; Corning Inc., Corning, NY, USA). Cells were placed in 100 μl of 0.6% FBS medium in the upper chamber at 1 × 105 cells ml−1, and the bottom chamber contained VEGF (Cat. no. PHC9391; Life Technologies Corp.), PTX3 (Cat. no. 1826-TS-025; R&D System, Minneapolis, MN, USA), and CRP (Cat. no. 1707-CR-200; R&D System) in a medium containing 0.6 or 20% FCS. After 12 h, the inserts were fixed and stained with Diff-Quick (Symex International Reagents Co. Ltd., Kobe, Japan). After the cells that had not migrated were removed from the upper surface of the inserts using cotton swabs, images from three different high-power fields were captured from each insert and the number of migratory cells was counted (Kondo ).

Cytokine measurement

Pancreatic carcinoma cells at 75–80% confluence were growth-arrested by FBS deprivation for 24 h and cultured in fresh FBS-free medium. Supernatants were collected at 6 h. Plasma samples collected from patients before initiation of gemcitabine treatment were stored at −80 °C until being subjected to enzyme-linked immunosorbent assay (ELISA) and antibody-suspension bead array analysis. Serum CRP levels were measured according to the manufacturer's directions by using a commercially available kit (Nanopia CRP; Sekisui Medical Co., Ltd., Tokyo, Japan) capable of assaying a wide range of values (0.01–100 mg dl−1) without the prozone phenomenon. Plasma-PTX3 levels were measured according to the manufacturer's directions by using a commercially available ELISA kit (Cat. no. PP-PD03-E0; Perseus Proteomics, Inc, Tokyo, Japan) capable of measuring a wide range of values (0.1–20 ng ml−1) linearly. After being drawn into prechilled tubes containing ethylenediaminetetraacetic acid (EDTA), peripheral blood was immediately subjected to centrifugation at 1000 g and 4 °C for 15 min. The plasma was then transferred into microtubes and subjected to further centrifugation at 10 000 g and 4 °C for 10 min to remove contaminating platelets. The plasma concentrations of the pro-inflammatory mediators IL-1beta, IL-6, C-C motif ligand (CCL) 2, CCL3, CCL4, CCL7, C-X-C motif ligand 9, and macrophage-inhibitory factor (MIF) were assayed in a subgroup of patients and control individuals using the Bio-Plex suspension array system (Bio-Rad, Hercules, CA, USA), which allows for simultaneous detection of cytokines in a 96-well filter plate. In brief, the appropriate cytokine standards and diluted plasma samples were added to a 96-well filter plate and incubated at room temperature for 30 min with antibodies chemically attached to fluorescent-labelled micro beads. After three filter washes, premixed detection antibodies were added to each well and incubated for 30 min. After three additional washes, premixed streptavidin–phycoerythrin was added to each well for 10 min of incubation. Subsequent to three more washes, the beads were resuspended in 125 μl of assay buffer and the reaction mixture was quantified by using the Bio-Plex protein array reader. Data were automatically collected and analysed using Bio-Plex Manager Software 4.1, and the standard curve was obtained using a recombinant cytokine standard (Kondo ).

Study approval

Prior to initiation, this prospective study had been approved by the Institutional Review Board of the National Cancer Center, and written informed consent had been obtained from all patients. This study is registered with the University Hospital Medical Information Network in Japan (UMIN; number UMIN000002323) and has been completed.

Patient selection and blood sample collection

A total of 78 chemotherapy-naive patients with histologically or cytologically confirmed advanced or recurrent invasive ductal pancreatic carcinoma were prospectively enroled in this study between April 2009 and March 2010 for treatment with gemcitabine chemotherapy. Patients with coexisting infections and/or cardiovascular illness were excluded from participation. Prior to initiation of gemcitabine treatment, each patient had undergone collection of a detailed history; physical examination; assessment of pretreatment baseline laboratory parameters; and determination of baseline tumour status by computed tomography (CT) of the chest, abdomen, and pelvis. Baseline and post-treatment laboratory parameters were evaluated by performing peripheral blood sampling prior to treatment initiation and on day 28±7 after treatment initiation, respectively. Gemcitabine at a dosage of 1000 mg m−2 was administered intravenously for 30 min on days 1, 8, and 15 of a 28-day cycle until disease progression, unacceptable toxicity, or patient refusal to continue treatment. The data collected included those pertaining to standard demographics; disease characteristics; and disease chronology, including the dates of initial treatment, best response to treatment, progression, and death or final follow-up. Tumours were evaluated every 6–8 weeks after initiation of each course of gemcitabine, and the best responses were documented according to the Response Evaluation Criteria in Solid Tumours version 1.1 (RECIST ver1.1).

Statistical analyses

The cutoff points used in the assessment of high and low expression levels of each mediator were based on the mean values of these mediators, whereas those of the CRP and CA19-9 levels were based on previous reports (Morizane ). Associations between patient characteristics were assessed by χ2 statistics. Survival in terms of both progression-free survival (PFS) and OS; demographic factors, including age and gender; and clinical factors, including Eastern Cooperative Oncology Group (ECOG) performance status (PS) and clinical stage was examined using the Cox proportional hazards model. The survival curves for PFS and OS were estimated using the Kaplan–Meier method, with the resulting Kaplan–Meier curves used only to identify trends in the associations between the inflammatory mediators and PFS and OS, as determination of the optimal cutoff point for the mediators relative to PFS and OS was beyond the scope of this study. All statistical analyses were performed using IBM SPSS Statistics 18 software (IBM Corp, Somers, NY, USA).

Results

PTX3 expression in pancreatic carcinoma cell lines

Measurement of expression of elevated levels of PTX3 by pancreatic carcinoma cells in culture solution, considered an indication of direct PTX3 secretion by these cells, revealed that the PANC-1 and MIA PaCa-2 cell lines expressed higher levels of PTX3 compared with the AsPC-1 and BxPC-3 lines (Figure 1A).
Figure 1

(A) Pentraxin 3 production levels of supernatants used for culturing of pancreatic carcinoma cell lines. (B, C) Cell migration assay in the presence or absence of the indicated reagents. NT (non-treated), FBS, 20% in the lower chamber; VEGF, 50 ng ml−1 in the lower chamber; PTX3, 50–100 ng ml−1; CRP, 50–100 ng ml−1. Statistical significance was evaluated by comparison with or without the presence of PTX3 and CRP.

Effect of PTX3 on migratory and invasive potential of pancreatic carcinoma cell lines

To determine the association between the intra- and extracellular levels of PTX3 and the migratory or invasive behaviour of pancreatic carcinoma cells, pCMV6-entry PTX3 ORF clones were used to establish stable transfectants. As shown in Figure 1B, introduction of PANC-1 and AsPC-1 cells increased recombinant human (rh) PTX3-induced cell migration, with the level of migration activity depending on the concentration of extracellular PTX3. On the other hand, CRP was observed to have a significant role in the regulation of migration activity in pancreatic carcinoma cell lines (Figure 2C). Transformants of PTX3 clone was not observed to increase migration activity significantly (Figure 2B). These results indicate that the extracellular PTX3 in the pancreatic carcinoma cell lines had promoted migratory activity.
Figure 2

(A) Pentraxin 3 production levels of supernatants used for culturing of PTX3 and NT-control transfectant of pancreatic carcinoma cell lines. (B) Cell migration assay using pancreatic carcinoma cell lines (AsPC-1 and PANC-1) transfected with pCMV6-entry PTX3 ORF in the presence or absence of the indicated reagents. NT (non-treated), FBS, 20% in the lower chamber; VEGF, 50 ng ml−1 in the lower chamber; PTX3, 50–100 ng ml−1; CRP, 50–100 ng ml−1. Stable transformants were subjected to cell migration assay.

Patient characteristics

Of the 78 pancreatic carcinoma patients prospectively enroled in this study, 42 (54%) were male and the median age was 68 years (range, 44–79 years). Regarding prior diagnosis and treatment, 25 patients (32%) presented with locally advanced pancreatic carcinoma, 47 (60%) presented with metastases, and 6 (8%) had been enroled following recurrence after surgery. Regarding the ECOG PS score, 44 patients (56%) had an ECOG PS of PS0, 27 (35%) of PS1, and 7 (9%) of PS2. Histologically, 31 patients (40%) had a poorly differentiated adenocarcinoma, 27 (35%) had a moderately differentiated adenocarcinoma, 1 (1%) had a well-differentiated adenocarcinoma, 2 (2%) had an adenosquamous carcinoma, and 17 (22%) had a cytological adenocarcinoma. Regarding response to treatment, 0 patients (0%) experienced complete response to treatment, 5 (6%) experienced partial response (PR) to treatment, 43 (55%) experienced stable disease (SD) after treatment, 27 (35%) experienced progressive disease, and 3 (4%) patients were not evaluable after treatment (Table 1). The mean PTX3 level of all patients was 4.94±3.63 ng ml−1 (range, 0.9–17.7 ng ml−1; median, 3.76 ng ml−1). Regarding the values of other inflammatory mediators, the mean IL-1beta, IL-6, CCL2, CCL3, CCL4, CCL7, CXCL9, and MIF levels were found to be 95.48±37.62, 294.38±516.6, 746.58±518.12, 177.8±58.4, 2886.28±1974.73, 80.81±13.72, 3161.89±2146.07, and 7240.52±5461.4 pg ml−1, respectively.
Table 1

Patient demographic and clinical characteristics

 PTX3 group (number of patients)
 
 PTX3high groupPTX3lowgroupTotalP-value*
Age (years)
Over 70721280.79
Below 70
15
35
50
 
Sex
Male1527420.14
Female
7
29
36
 
Stage
III124250.005
IV192847 
Recurrence
2
4
6
 
ECOG PS score
0737440.01
1131427 
2
2
5
7
 
Histology
Well differentiated0110.12
Poorly differentiated72431 
Moderately differentiated121527 
Adenosquamous112 
NE (cytology only)
2
15
17
 
Tumour response
Partial response2350.29
Stable disease93443 
Progressive disease101727 
NE
0
3
3
 
CA19-9 (U ml−1)
Over 10 0001124350.62
Below 10 000
11
32
43
 
CRP (mg dl−1)
Over 1.01210220.002
Below 1.0104656 

Abbreviations: CRP=C-reactive protein; ECOG PS=Eastern Cooperative Oncology Group Performance Status; NE=not evaluable; PTX3=pentraxin 3.

*P-values calculated using χ2 statistics.

Relationship between PTX3 level and treatment outcome

For comparison of the clinical parameters associated with PTX3 level, the patients were divided into two groups: a group of patients with a PTX3 level ⩾4.94 ng ml−1, referred to as the PTX3high group (n=22), and a group with a PTX3 level <4.94 ng ml−1, referred to as the PTX3low group (n=56). The median PFS of the PTX3high group was 76 days (95% confidence interval (CI), 43–109) and that of the PTX3low group was 150 days (95% CI, 131–197; log-rank test, P=0.002; Figure 3A). The median OS of the PTX3high group was 117 days (95% CI, 82–152) and that of the PTX3low group was 357 days (95% CI, 239–475; log-rank test, P<0.001; Figure 3B).
Figure 3

Kaplan–Meier curves for (A) progression-free survival according to blood-PTX3 level and (B) overall survival according to blood-PTX3 level. Cutoff points for PTX3 level were based on mean PTX3 level.

Placement in the PTX3high group was found to be significantly associated with advanced clinical stage (P<0.01), poor PS (PS2, P=0.01), and elevated CRP level (over 1.0 mg dl−1, P<0.01). The results of the univariate Cox regression analysis indicated that high PTX3 level and/or high CRP level is significantly associated with poor OS (hazard ratio (HR), 4.80; 95% CI, 2.62–8.78; P<0.001 and HR, 6.56; 95% CI, 3.32–12.96; P<0.001, respectively). The results of univariate analysis indicated that clinical stage (IV+recurrence vs III), PS (2 vs 0+1), histological differentiation (poorly differentiated vs not poorly differentiated), CA19-9 level (>3000 vs <3000 U ml−1), and IL-6 level (IL-6high vs IL-6low) are significantly associated with improved OS (Table 2), whereas age, gender, and levels of several pro-inflammatory mediators (IL-1beta, CCL2, CCL3, CCL4, CCL7, CXCL9, and MIF) are not. Subsequent multivariate Cox regression analysis indicated that CRP level (CRPhigh vs CRPlow; HR 2.59, 95% CI 1.05–6.36, P=0.04), and PTX3 level (PTX3high vs PTX3low; HR 3.00, 95% CI 1.47–6.14, P=0.003) are independent prognostic variables (Table 2). Taken together, these results suggest that members of the pentraxin family, particularly PTX3, may be predictive biomarkers in the prognosis of human pancreatic carcinoma in the clinical setting.
Table 2

Results of univariate and multivariate analyses

 HR95% CIP-value*
Univariate analysis
Age: over 70 vs below 701.160.66–2.050.61
Gender: male vs female1.120.85–1.470.41
Stage: IV+recurrence vs III1.931.05–3.560.03
ECOG PS score: 0+1 vs 23.421.40–8.370.007
Histology: poorly differentiated vs not poorly differentiated2.341.34–4.120.003
CA19-9 (U ml−1): over 10 000 vs below 10 0001.961.12–3.440.02
CRP (mg dl−1): over 1.0 vs below 1.06.563.32–12.96<0.001
PTX3: PTX3high vs PTX3low4.802.62–8.78<0.001
IL-6: IL-6 high vs IL-6low7.723.88–15.35<0.001
IL-1beta: IL-1betahigh vs IL-1betalow0.840.48–1.470.84
CCL2: CCL2high vs CCL2low1.400.79–2.450.25
CCL3: CCL3high vs CCL3low1.570.92–2.680.10
CCL4: CCL4high vs CCL4low1.150.64–2.060.65
CCL7: CCL7high vs CCL7low1.080.62–1.880.79
CXCL9: CXCL9high vs CXCL9low1.510.87–2.630.15
MIF: MIFhigh vs MIFlow
1.21
0.70–2.09
0.50
Multivariate analysis
Stage: IV+recurrence vs III1.140.42–2.370.72
ECOG PS: 0+1 vs 22.110.71–6.250.18
Histology: poorly differentiated vs not poorly differentiated1.190.60–2.380.62
CA19-9 (U ml−1): over 10 000 vs below 10 0001.520.84–2.740.16
CRP (mg dl−1): over 1.0 vs below 1.02.591.06–6.360.04
PTX3: PTX3high vs PTX3low3.001.4–6.140.003
IL-6: IL-6 high vs IL-6low2.571.00–6.59>0.05

Abbreviations: CCL=chemokine (C-C motif) ligand; CI=confidence interval; CRP=C-reactive protein; CXCL=chemokine (C-X-C motif) ligand; ECOG PS=Eastern Cooperative Oncology Group Performance Status; HR=hazard ratio; IL=interleukin; MIF=macrophage-migration-inhibitory factor; PTX3=pentraxin 3;

*P-values calculated using the Cox proportional hazards model.

Relationship between PTX3 level and expression of pro-inflammatory mediators

Examination of the relationship between PTX3 expression and the expression of other pro-inflammatory mediators using Spearman's rank correlation coefficient analysis indicated that PTX3 level is positively correlated with level of CRP (r=0.56, P<0.001), IL-6 (r=0.59, P<0.001), and MIF (r=0.38, P=0.001; Table 3).
Table 3

Relationship between PTX3 level and levels of other immunological factors

Discussion

The findings of the present study provide the first evidence of the clinical importance of PTX3 expression as a prognostic factor in pancreatic carcinoma due to its involvement in cancer cell behaviour. Specifically, several pancreatic carcinoma cell lines were observed to secrete PTX3 to a remarkable extent, with expression of extracellular PTX3 promoting pancreatic carcinoma cell migration in a concentration-dependent, highly efficient manner and expression of transformants of PTX3 promoting migration in a less-efficient manner. Supporting this observation, evaluation of clinical blood samples of pancreatic carcinoma patients revealed a strong correlation between blood-PTX3 level and prognosis of the disease. PTX3 is known to be produced by a variety of cells at the site of infection or inflammation, including macrophages, dendritic cells (Doni ), neutrophils (Jaillon ), endothelial cells (Norata ), epithelial cells (Han ), fibroblasts (Doni ), and vascular smooth muscle cells (Klouche ). In human liposarcomas, increased levels of PTX3 RNA and intracellular PTX3 have been detected (Willeke ), whereas elevated levels of serum PTX3 have been observed in patients with lung cancer (Diamandis ) and prostate cancer (Sardana ). In the present study, detection of the direct secretion of extracellular PTX3 by several pancreatic carcinoma cell lines indicated the existence of a PTX3 autocrine–paracrine loop that regulates angiogenesis and stromal cell activity. Known to be a soluble recognition receptor, PTX3 binds to selected pathogens and has a non-redundant protective role against these pathogens as part of an innate immunological response. PTX3 also interacts with other biologically active molecules, such as fibroblast growth factor-2 (FGF2; Camozzi ), to suppress FGF2-mediated cell-migration angiogenesis (Basile ). In androgen-regulated breast cancer cells, PTX3 inhibits FGF8-driven cell proliferation (Leali ). In contrast, PTX3 promotes VEGF-stimulated migration of pancreatic carcinoma cells, although exerting no influence on VEGF-dependent angiogenesis and cell migration and not interacting with VEGF (Basile ). Invasion of malignant cells was found to result in increased levels of inflammatory mediators, such as TNF-alpha, IL-1beta, and IL-6, that increase the ability of malignant cells to infiltrate, migrate, and metastasise, possibly as a result of the upregulation of chemokine-receptor expression elicited by these mediators (Mantovani ). The results of this study indicate that direct PTX3 stimulation promotes pancreatic carcinoma cell-migration activity. This finding and that of the present study, specifically that high PTX3 level is significantly correlated with a more advanced stage of pancreatic cancer, indicates that PTX3 acts as a mediator of inflammation that has a tumour-promoting effect in pancreatic carcinoma cells. In a previous study, PTX3 expression was found to be higher in high-Gleason-grade prostate tumour tissue compared with contralateral prostate lobes, possibly in association with pro-inflammatory and repair-process activation (Ravenna ). Similar results have been reported for human mammary-invasive carcinoma in association with hypoxia-driven HIF-1α and NF-κB activation (Tafani ). These findings, along with the knowledge that pro-inflammatory signals upregulate PTX3 expression in different mesenchymal and epithelial cell types (Garlanda ), suggest that PTX3 has a role in tumour activation, invasion, and migration in some types of cancer. On the other hand, some results suggest that PTX3 expression is silenced in cancer cells at a relatively early stage of tumour progression in parallel with hypoxia- or inflammation-driven cytokine production by stromal components and inflammatory cell infiltrates. To clarify these contradictory findings and determine the true nature of the effect of PTX3 expression on cancer cells, further studies are required. Previous studies of advanced pancreatic carcinoma patients have found median OS to be 8–12 months for patients who present with locally advanced unresectable disease but only 3–6 months for those who present with metastases or recurrent pancreatic carcinoma. Several studies of advanced pancreatic carcinoma patients who have undergone gemcitabine monotherapy reported that median OS after treatment ranged from 5.4 to 7.2 months (Burris ; Berlin ; Herrmann ). In the present study, the median OS of patients with high PTX3 levels was remarkably brief, found to be only 117 days. Other well-known prognostic factors in pancreatic carcinoma patients are elevated serum level of CA19-9, a widely used prognostic marker and indicator of disease activity (Ueno ; Berger ; Tanaka ; Morizane ), and elevated CRP level, which is likely to be part of the systemic inflammatory response to tumour development. Activation of CRP has also been linked to cancer cachexia, characterised by malnutrition and an accelerated starvation state, and shorter OS (Ebrahimi ). Despite the importance of these factors, the findings of this study indicate that elevated PTX3 level is associated with more advanced disease and poorer PS, and is therefore a more useful neo-factor in prognosis than CA19-9 and CRP in pancreatic carcinoma patients. Pro-inflammatory mediators are frequently expressed in the tumour microenvironment after they have infiltrated leukocyte, stromal, and cancer cells (DeNardo ; Mantovani ). Several mediators, such as IL-1beta, enhance the production of PTX3 elicited by inflammatory signalling (Polentarutti ), whereas others, such as IL-6, CCL2, and interferon-gamma, have negligible effects on PTX3 expression (Alles ; Polentarutti ). Previous studies have found PTX3 levels to be correlated with CRP, IL-6, and elevated levels of MIF, which are known to control autonomous properties of tumour cells, such as proliferation, apoptosis, DNA-damage response, senescence, and invasion (Dessein ), in the tumour and serum of pancreatic cancer patients (Winner ). In consideration with these findings, the present study aimed to clarify the profile of these mediators in pancreatic carcinoma patients and the correlations among them. Although this study yielded significant findings, it was limited by several phenomena, for instance the insufficient insolubility of the mechanism between each mediator and the inability to examine the intricate interrelations among the inflammatory mediators of cancer patients, each of which has multiple roles in various tumorigenic behaviours. In conclusion, the results of this study provide strong evidence that elevated levels of pentraxin family members, especially PTX3, are associated with poor prognosis in pancreatic carcinoma patients. Expression of PTX3 appears to be a promising biomarker for pancreatic carcinoma prognosis. However, the mechanism of tumour inflammation and exact nature of the role of PTX3 expression remains unclear, calling for investigation of the mechanisms underlying PTX3 activity in carcinoma cells and the tumour environment.
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  35 in total

1.  Inhibition of pentraxin 3 in glioma cells impairs proliferation and invasion in vitro and in vivo.

Authors:  Jai-Nien Tung; Chung-Po Ko; Shun-Fa Yang; Chun-Wen Cheng; Pei-Ni Chen; Chia-Yu Chang; Chia-Liang Lin; Te-Fang Yang; Yi-Hsien Hsieh; Kun-Chung Chen
Journal:  J Neurooncol       Date:  2016-06-09       Impact factor: 4.130

2.  Proteomic Analysis of MYB-Regulated Secretome Identifies Functional Pathways and Biomarkers: Potential Pathobiological and Clinical Implications.

Authors:  Haseeb Zubair; Girijesh Kumar Patel; Mohammad Aslam Khan; Shafquat Azim; Asif Zubair; Seema Singh; Sanjeev Kumar Srivastava; Ajay Pratap Singh
Journal:  J Proteome Res       Date:  2020-01-27       Impact factor: 4.466

3.  Pentraxin-3 is a PI3K signaling target that promotes stem cell-like traits in basal-like breast cancers.

Authors:  Clémence Thomas; Whitney Henry; Benjamin G Cuiffo; Anthony Y Collmann; Elisabetta Marangoni; Vanessa Benhamo; Manoj K Bhasin; Cheng Fan; Laetitia Fuhrmann; Albert S Baldwin; Charles Perou; Anne Vincent-Salomon; Alex Toker; Antoine E Karnoub
Journal:  Sci Signal       Date:  2017-02-21       Impact factor: 8.192

4.  Innate immunity, inflammation and tumour progression: double-edged swords.

Authors:  A Mantovani; A Ponzetta; A Inforzato; S Jaillon
Journal:  J Intern Med       Date:  2019-03-14       Impact factor: 8.989

5.  Targeting AU-rich element-mediated mRNA decay with a truncated active form of the zinc-finger protein TIS11b/BRF1 impairs major hallmarks of mammary tumorigenesis.

Authors:  Felicitas Rataj; Séverine Planel; Josiane Denis; Caroline Roelants; Odile Filhol; Laurent Guyon; Jean-Jacques Feige; Nadia Cherradi
Journal:  Oncogene       Date:  2019-03-26       Impact factor: 9.867

Review 6.  Personalising pancreas cancer treatment: When tissue is the issue.

Authors:  Katrin M Sjoquist; Venessa T Chin; Lorraine A Chantrill; Chelsie O'Connor; Chris Hemmings; David K Chang; Angela Chou; Marina Pajic; Amber L Johns; Adnan M Nagrial; Andrew V Biankin; Desmond Yip
Journal:  World J Gastroenterol       Date:  2014-06-28       Impact factor: 5.742

7.  PTX3, a Humoral Pattern Recognition Molecule, in Innate Immunity, Tissue Repair, and Cancer.

Authors:  Cecilia Garlanda; Barbara Bottazzi; Elena Magrini; Antonio Inforzato; Alberto Mantovani
Journal:  Physiol Rev       Date:  2018-04-01       Impact factor: 37.312

Review 8.  The pentraxins PTX3 and SAP in innate immunity, regulation of inflammation and tissue remodelling.

Authors:  Barbara Bottazzi; Antonio Inforzato; Massimo Messa; Marialuisa Barbagallo; Elena Magrini; Cecilia Garlanda; Alberto Mantovani
Journal:  J Hepatol       Date:  2016-02-26       Impact factor: 25.083

Review 9.  Pentraxins in the activation and regulation of innate immunity.

Authors:  Kenji Daigo; Antonio Inforzato; Isabella Barajon; Cecilia Garlanda; Barbara Bottazzi; Seppo Meri; Alberto Mantovani
Journal:  Immunol Rev       Date:  2016-11       Impact factor: 12.988

10.  Cadherin 11 Promotes Immunosuppression and Extracellular Matrix Deposition to Support Growth of Pancreatic Tumors and Resistance to Gemcitabine in Mice.

Authors:  Ivana Peran; Sivanesan Dakshanamurthy; Matthew D McCoy; Anastasia Mavropoulos; Bedilu Allo; Aimy Sebastian; Nicholas R Hum; Sara C Sprague; Kelly A Martin; Michael J Pishvaian; Eveline E Vietsch; Anton Wellstein; Michael B Atkins; Louis M Weiner; Andrew A Quong; Gabriela G Loots; Stephen S Yoo; Shahin Assefnia; Stephen W Byers
Journal:  Gastroenterology       Date:  2020-12-09       Impact factor: 22.682

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