Literature DB >> 24069296

Prognostic value of CD109+ circulating endothelial cells in recurrent glioblastomas treated with bevacizumab and irinotecan.

Lucia Cuppini1, Angelica Calleri, Maria Grazia Bruzzone, Elena Prodi, Elena Anghileri, Serena Pellegatta, Patrizia Mancuso, Paola Porrati, Anna Luisa Di Stefano, Mauro Ceroni, Francesco Bertolini, Gaetano Finocchiaro, Marica Eoli.   

Abstract

BACKGROUND: Recent data suggest that circulating endothelial and progenitor cells (CECs and CEPs, respectively) may have predictive potential in cancer patients treated with bevacizumab, the antibody recognizing vascular endothelial growth factor (VEGF). Here we report on CECs and CEPs investigated in 68 patients affected by recurrent glioblastoma (rGBM) treated with bevacizumab and irinotecan and two Independent Datasets of rGBM patients respectively treated with bevacizumab alone (n=32, independent dataset A: IDA) and classical antiblastic chemotherapy (n=14, independent dataset B: IDB).
METHODS: rGBM patients with KPS ≥50 were treated until progression, as defined by MRI with RANO criteria. CECs expressing CD109, a marker of tumor endothelial cells, as well as other CEC and CEP subtypes, were investigated by six-color flow cytometry.
RESULTS: A baseline count of CD109+ CEC higher than 41.1/ml (1(st) quartile) was associated with increased progression free survival (PFS; 20 versus 9 weeks, P=0.008) and overall survival (OS; 32 versus 23 weeks, P=0.03). Longer PFS (25 versus 8 weeks, P=0.02) and OS (27 versus 17 weeks, P=0.03) were also confirmed in IDA with CD109+ CECs higher than 41.1/ml but not in IDB. Patients treated with bevacizumab with or without irinotecan that were free from MRI progression after two months of treatment had significant decrease of CD109+ CECs: median PFS was 19 weeks; median OS 29 weeks. The presence of two non-contiguous lesions (distant disease) at baseline was an independent predictor of shorter PFS and OS (P<0.001).
CONCLUSIONS: Data encourage further studies on the predictive potential of CD109+ CECs in GBM patients treated with bevacizumab.

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Year:  2013        PMID: 24069296      PMCID: PMC3772091          DOI: 10.1371/journal.pone.0074345

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Glioblastomas (GBM) are highly vascularized tumors: several antiangiogenic drugs including bevacizumab (Avastin®, F. Hoffmann-La Roche Ltd, Basel, Switzerland), a monoclonal antibody targeting the vascular endothelial growth factor (VEGF), have been investigated for their treatment [1]. The search for predictive markers to select patients who may benefit from treatment is very active [2]. Circulating endothelial and progenitor cells (CECs and CEPs, respectively) are considered with increasing interest as predictive biomarkers [3-5]. CECs, rare in healthy individuals, increase in vascular disorders and tumors due to vascular damage. CEPs are mobilized from the bone marrow to complement local angiogenesis. VEGF is highly expressed in GBM and may mobilize endothelial precursors from the bone marrow [6-8]. In particular, levels of CEPs, defined as CD34+ CD133+ VEGFR2+ cells, were higher in GBM patients than in patients with brain metastases or in controls and correlated with increased density of tumor blood vessels [9]. Variations in the number of pericyte precursors (progenitor perivascular cells, PPCs) could also provide relevant prognostic and possibly predictive information. Progenitor or committed pericytes expressing the platelet-derived growth factor receptor-beta (PDGFR beta) [10] may play a role in shaping the architecture of the vascular niche of an experimental model of glioma [11] and promote endothelial cell survival through induction of autocrine VEGF signaling [12]. Recent data suggest that high pericyte coverage has a negative prognostic impact in clear cell renal cell carcinoma [13]. CECs and CEPs have been considered for their predictive value in patients with colorectal cancer [14-18], breast cancer [19] and non-small cell lung cancer [20]. Although preliminary data are conflicting due to the differences among cancers and the variety of methodologies used to detect cells [3,4], the study of CECs and CEPs also in central nervous system tumors may be relevant for the identification of new insights of pathogenesis. Seaman et al, comparing the vascular trascriptome of normal resting, normal proliferating and tumor endothelial cells, identified CD109 as one of the membrane proteins that are selectively overexpressed on blood vessels during tumor angiogenesis [21]. Thus, we included the analysis of CD109 expressing CEC in our study. Here, we report on the potential predictive value of CEC, CEP and PPC counts in patients with recurrent GBM treated with bevacizumab and irinotecan, as well as on their clinical and radiological follow-up. The results suggest that CD109+ CECs, in particular, deserve further investigation as potential predictive marker.

Methods

Ethics Statement

The study was carried out according to the Italian Decree Law May 8th, 2003 allowing treatment of patients with no therapeutic option, with drugs not yet approved by the Italian Regulatory Agency, but with evidence of efficacy in phase II clinical trials. The protocol was approved by the Ethics Committee of the Neurological Institute “Carlo Besta” of Milan and registered in the Institute database (#1/08). All patients gave written informed consent before inclusion in the therapeutic protocol. All clinical investigation were conducted according to the principles expressed in the Declaration of Helsinki.

Patients

Sixty-eight GBM patients, who previously underwent prior surgery and radiochemotherapy according to the Stupp’s protocol [22], followed by second or third line chemotherapy, were consecutively enrolled from January 14th, 2009 and June 1st, 2011 (Table 1). Exclusion criteria were as proposed by Vredenburgh et al. [23]. Follow up of patients was carried out until June 2012.
Table 1

Patients characteristics at baseline.

Characteristic No. of pts %
Gender
Male3957
Female2943
Age, yrs
Median [all pts] (range)53 (15-76)
< 401116
40-604262
> 601522
KPS
Median [all pts] (range)70 (50-100)
< 701928
70-804566
90-10046
Histological diagnosis
De novo GBM5784
Secondary GBM1116
Time from first diagnosis, mos (range)13 (4.5-100)
Disease recurrence
1st/2nd/3rd 39/26/357/39/4
Prior therapy
1st/2nd/3rd surgery68/32/1100/47/2
Radiotherapy68100
Radiosurgery34
1st/2nd/3rd line chemotherapy68/29/3100/43/4
Systemic therapy
No Dex/Dex<8mg/Dex≥8mg9/28/3113/41/46
EIAED therapy812
Tumor volume, cc (range)26.57 (0.97-173.2)
Early progression according to RESCUE study [32]1928
MRI patterns at baseline
Local4769
Leptomeningeal dissem.1015
Distant1015
Multifocal12

Abbreviations: cc, cubic centimetres; dissem, dissemination; EIAED, enzyme-inducing anti-epileptic drugs; GBM, glioblastoma multiforme; mos, months; MR, magnetic resonance; pts, patients; yrs, years.

Abbreviations: cc, cubic centimetres; dissem, dissemination; EIAED, enzyme-inducing anti-epileptic drugs; GBM, glioblastoma multiforme; mos, months; MR, magnetic resonance; pts, patients; yrs, years. Irinotecan (125 or 340 mg/m2, depending on the concomitant use of enzyme-inducing anti-epileptic drugs [EIAED]) and bevacizumab (10 mg/kg) were administered i.v. every 2 weeks until tumor progression, intolerable toxicity, or patient consent withdrawal [23]. Drugs were supplied free by Roche S.p.A. (Monza, Italy) and Hospira S.r.l. (Napoli, Italy). Patients who started treatment with both drugs but showed inadequate bone marrow function (absolute neutrophil count, ANC, ≤2x109/L and platelet count ≤100x109/L), liver dysfunction (aspartate aminotransferase, AST; alanine aminotransferase ALT ≤2.5xULN) or frequent diarrhea continued treatment with bevacizumab alone. Patients were clinically evaluated before treatment and at drug administrations. Toxicities were graded according to CTCAE v 4.0 (Common Terminology Criteria for Adverse Events: ).

MRI and response evaluation

Patients underwent conventional contrast-enhanced MRI using a 1.5T MR system (Siemens, Avanto) with an 8 channels head coil at baseline, every 8 weeks or in case of neurological worsening, until tumor progression. MRI sequences included axial T1 weighted spin-echo (TE/TR=9.1 ms/500 ms, FA=70°, slice thickness=5 mm, no gap, matrix =187x256, FOV=230x187 mm, number of NEX=2), axial turbo spin-echo T2 and proton density weighted (TE/TR=39-79 ms/3500 ms, FA=180°, slice thickness=5 mm, no gap, matrix=256x256, FOV=240x240 mm, NEX=1), coronal FLAIR (TI=2500 ms, TE/TR=121 ms/8000 ms, FA=150°, slice thickness=5 mm, no gap, matrix=149x320, FOV=250x194 mm, NEX=1). After the administration of contrast medium (Gadovist, 0.1 mmol/kg) axial and 3D T1 weighted images (TE/TR=4.24 ms/1160 ms; FA=15°, voxel size 0.90x0.90x0.90, gap 0,45 mm, matrix=192x256 and FOV=230x172.5 mm, NEX=1) were acquired. MRI evaluation was performed in agreement with RANO criteria [24], by two blinded radiologists. To assess changes of FLAIR hyperintensity a threshold of 25% or more of the maximal cross-sectional area was used. Baseline tumor volumes were determined on 3D post-gadolinium T1 weighted images by manually outlining the enhancing portion of the lesion using MRIcro (http://www.mccauslandcenter.sc.edu/mricro/). To calculate the total enhancing volume of the tumor the number of enhancing voxels was multiplied by the voxel volume. Disease patterns were characterized as local, distant, and diffuse [25]. Scans showing an increased area of abnormal FLAIR signal in the absence of increased or new enhancement were classified as diffuse recurrence [26].

Circulating endothelial cells and progenitors analysis

Number and viability of CECs and CEPs were measured on fresh samples from 68 patients at baseline and every 8 weeks by six-color flow cytometry. Blood samples were collected in EDTA discarding the first 3 ml of blood to avoid contamination with endothelial cells from venipuncture. The samples were kept at room temperature (22±2 °C) and processed as described in Mancuso et al. [27] within 24 hours after collection. CECs were defined as Syto16(DNA) +CD45-CD31+CD146+ [27]. The combination of Syto16 and 7-AAD was used to discriminate between nucleated viable (Syto16bright/7-AAD-) and apoptotic/necrotic (Syto16dim/7-AAD+) endothelial cells, and to exclude from analysis platelets and endothelial macroparticles. The expression of CD109 in CECs was also investigated. CD109+ CECs were enumerated as Syto16(DNA) +CD45-CD31+CD146+ CD109+ cells and investigated for viability by 7-AAD. Figure 1 shows the CD109+ CEC enumeration procedure.
Figure 1

CEC evaluation by flow cytometry.

A: Gate used to exclude cell fragments and debris. B: Gate made to identify CD45- cells. C: CD31 expression and Syto16 staining in CD45- cells. D: Negative control for E (CD31+ CD146+, CECs), F (CD31+ CD109+ CECs) and G (CD31-CD140b+, PPCs). E1: Distribution of viable, apoptotic, and necrotic CECs.

CEC evaluation by flow cytometry.

A: Gate used to exclude cell fragments and debris. B: Gate made to identify CD45- cells. C: CD31 expression and Syto16 staining in CD45- cells. D: Negative control for E (CD31+ CD146+, CECs), F (CD31+ CD109+ CECs) and G (CD31-CD140b+, PPCs). E1: Distribution of viable, apoptotic, and necrotic CECs. CEPs were evaluated as Syto16(DNA) +CD45-CD34+ [28]. We also investigated the levels of Syto16(DNA) +CD45dimCD34+VEGFR2+, described as VEGFR2+ hematopoietic progenitor cells [29], and of Syto16(DNA) +CD45dimCD34+ and Syto16(DNA) +CD45dimCD34+CD133+ described as hematopoietic committed progenitors (Figure 2) [3,28-30].
Figure 2

Progenitor cell evaluation by flow cytometry.

A: Gate used to exclude cell fragments and debris. B: Gate made to include CD45- and CD45dim cells. C: Gate on Syto16+ 7AAD+ cells. D: Identification of 2 different populations: CD45-CD34+ + and CD133-VEGFR2- (D1), and CD45dimCD34+ and CD133+ cells (D2).

Progenitor cell evaluation by flow cytometry.

A: Gate used to exclude cell fragments and debris. B: Gate made to include CD45- and CD45dim cells. C: Gate on Syto16+ 7AAD+ cells. D: Identification of 2 different populations: CD45-CD34+ + and CD133-VEGFR2- (D1), and CD45dimCD34+ and CD133+ cells (D2). As PDGFRbeta (CD140b) + PPCs can differentiate into pericytes and regulate vessel stability and vascular survival in tumors, Syto16(DNA) +CD45-CD31-CD140b+ PPCs were also enumerated [31]. To define reference values, cell populations were investigated also in age- and sex-matched healthy controls. Biological markers of the patient population treated with bevacizumab and irinotecan were compared with two independent datasets. Independent Dataset A (IDA) was formed by 32 age- and sex-matched patients with recurrent GBM and similar clinical characteristics, treated with bevacizumab alone (10 mg/kg i.v., every 2 weeks). Independent Dataset B (IDB) was formed by 14 patients with recurrent GBM, treated with temozolomide (50 mg/mq/die, according to RESCUE study [32]) or fotemustine (75 mg/mq/die on day 1, 8 and 15 followed, after a 35 days interval, by 100 mg/mq on day 1 of a 21 days cycle) constituted a second control group.

Statistical analysis

Progression Free Survival (PFS) was calculated from treatment onset until disease progression or death/last follow-up, if censored. Overall Survival (OS) was calculated from treatment onset until death/last follow-up, if censored. Kaplan Meier analysis estimated PFS and OS. The log rank test assessed differences in progression or survival in patients with different clinical, radiological or biological parameters. These parameters were set at the 25°, 50°, 75°, 90° percentile and separately evaluated in all patients. Correlations between biological markers and clinical parameters or treatment response were assessed using the Mann-Whitney exact U test. The Wilcoxon rank sum test evaluated differences among biological markers levels at baseline, week 8 or progression. All P values were two-sided. A multivariate analysis and a Cox proportional hazard regression model analysis were performed on variables showing statistically significant differences at univariate analysis to investigate their independent prognostic role. In particular, CD109+ CECs was used as a dichotomic parameter. All statistical analyses were performed using STATA software 10.0.

Results

Treatment

Clinical characteristics of the patients are described in Table 1. None of them was previously treated with bevacizumab or other anti-angiogenic drugs. Fifteen (22%) experienced progression during the first six cycles of adjuvant TMZ therapy according to the Stupp regimen [22]. Two patients progressed <12 weeks after radiation therapy and performed a second MRI confirming progression after 6 weeks; no patient had pseudo-progression. Fifty-five patients were treated with both bevacizumab and irinotecan until progression; 13 patients interrupted irinotecan before progression due to low tolerance. IDA and IDB patient characteristics are outlined in Table S1A and B.

Toxicity

Six patients stopped treatment before disease progression due to: intra-tumoral bleeding (n=2), sub-galeal infection after surgery (n=2), thrombosis of the cerebral sinus (n=1) and consent withdrawal (n=1). Dates of their disease progression and death were included in the statistical analysis. Five patients died before disease progression due to: pancreatic neoplasia (n=1); ischemic heart failure (n=1); cerebral sinus thrombosis (n=1); unknown reasons (n=2). A detailed list of adverse events with relative grades is provided in Table S2.

Response rate and patterns of radiological progression

Using RANO criteria [24] we found that 14 patients had a partial response, 40 stable disease and 14 disease progression at week 8; no other partial or complete response was observed later. Patients with partial response at week 8 had longer PFS and OS than the others (39 versus 15 weeks, P=0.002; 58 versus 26 weeks, P=0.002). Figures S1 and S2, respectively, show one example of tumor progression and one example of partial response 8 weeks after treatment onset. The analysis of progression patterns excluded patients who died or interrupted treatment before progression and patients with incomplete neuroimaging. Eleven patients converted to a diffuse pattern of disease (9 patients starting from local pattern and 2 from leptomeningeal dissemination), one patient with local disease converted to leptomeningeal dissemination and 36 patients did not show changes when compared to baseline.

Survival

Median follow up was 28 weeks (5-112 weeks). Median OS was 29 weeks (5-112 weeks); OS at 6 months (OS-6) and 12 months (OS-12) were 58% (95% CI 46-70%) and 23% (95% CI 13-33%), respectively. Five patients were still progression-free at the end of the follow-up. Median PFS was 19 weeks (5-112 weeks). PFS-6 and PFS-12 were 36% (95% CI 24-47%) and 13% (95% CI 5-21%), respectively. Clinical features potentially affecting PFS and OS are outlined in Table 2. Although tumor volumes in patients with leptomeningeal dissemination or distant tumors were not significantly larger than in other subjects (median volumes 40.1 cc and 44.0 cc, respectively), both subgroups had shorter PFS and OS. Patients assuming <8 mg dexamethasone at baseline had longer PFS and OS than the others.
Table 2

Univariate analysis of the most relevant clinical and biological parameters.

Median PFS
P value Median OS
P value
Wks
wks
KPS ≤70 versus >701619n. s.2930n. s.
Age ≤40 yrs versus >401917n. s.2927n. s.
Age ≤60 yrs versus >602018n. s.2729n. s.
De novo versus secondary tumor1818n. s.2729n. s.
Tumor volume ≤10.9 mm3 versus >10.9 mm3 2915n. s.3724n. s.
Dex <8 mg versus dex ≥8 mg29100.000139240.002
EIAED use versus EIAED free1917n. s.2927n. s.
Distant disease versus no distant disease9260.000119380.0001
Leptomeningeal diss. versus no leptomeningeal diss.10200.0119310.01
CD109+CEC ≤41.1/ml versus >41.1/ml9200.00823320.03

Abbreviations: dex, dexamethasone; diss, dissemination; EIAED, enzyme-inducing anti-epileptic drugs; wks, weeks; yrs, years.

Abbreviations: dex, dexamethasone; diss, dissemination; EIAED, enzyme-inducing anti-epileptic drugs; wks, weeks; yrs, years.

Circulating Endothelial or Progenitor cells

Significantly higher levels of CECs (P=0.01), CEPs (P=0.0001), viable CECs (P=0.0001), CD109+ CECs (P=0.0001), CD45dimCD34+CD133+ (P=0.001) and CD45dimCD34+ (P=0.006) hematopoietic committed progenitors were found at baseline in patients treated with bevacizumab and irinotecan, compared to healthy controls, even if P values were adjusted for multiple comparisons (Figure 3). Lower levels of CD140b+ PPCs were detected in patients when compared to healthy controls (P=0.03, data not shown). No correlation was observed between counts of each cell subpopulation and clinical or radiological parameters (data not shown).
Figure 3

Baseline levels of cell subpopulations in patients treated with bevacizumab and irinotecan and healthy controls.

A: Baseline levels of CECs and CEPs in patients and healthy controls. B: Baseline levels of viable CECs and CD109+ CECs in patients and healthy controls. C: Baseline levels of CD45dimCD34+CD133+ hematopoietic progenitors in patients and healthy controls. D: Baseline levels of CD45dimCD34+ hematopoietic committed progenitors in patients and healthy controls.

Boxes: the interquartile range; lines: location of first quartile, median, and third quartile; ○, outliers beyond the standard span. All P values were calculated by the Mann-Witney test. Abbreviations: CECs, circulating endothelial cells; vCECs, viable CECs; CEPs, circulating endothelial progenitors; ctrls, healthy controls; hcp, hematopoietic committed progenitors.

Baseline levels of cell subpopulations in patients treated with bevacizumab and irinotecan and healthy controls.

A: Baseline levels of CECs and CEPs in patients and healthy controls. B: Baseline levels of viable CECs and CD109+ CECs in patients and healthy controls. C: Baseline levels of CD45dimCD34+CD133+ hematopoietic progenitors in patients and healthy controls. D: Baseline levels of CD45dimCD34+ hematopoietic committed progenitors in patients and healthy controls. Boxes: the interquartile range; lines: location of first quartile, median, and third quartile; ○, outliers beyond the standard span. All P values were calculated by the Mann-Witney test. Abbreviations: CECs, circulating endothelial cells; vCECs, viable CECs; CEPs, circulating endothelial progenitors; ctrls, healthy controls; hcp, hematopoietic committed progenitors. Baseline levels of all cell subpopulations were not significantly different among patients treated with bevacizumab and irinotecan, bevacizumab alone (IDA) or chemotherapy alone (IDB) (data not shown). Patients treated with bevacizumab and irinotecan showing baseline counts of CD109+ CECs higher than 41.1/ml (1st quartile) had increased PFS and OS (Table 2 and Figure 4A); these patients did not show differences of clinical and radiological parameters when compared to the others (Table S3). PFS and OS were significantly increased also in patients treated with bevacizumab alone and baseline counts of CD109+ CEC higher than 41.1/ml (Figure 4B), but not in patients treated with antiblastic chemotherapy (Figure S3).
Figure 4

Correlation between baseline CD109+ CECs and PFS/OS in patients treated with bevacizumab+irinotecan or bevacizumab alone.

Patients treated with bevacizumab and irinotecan and showing baseline CD109+ CEC count > 41.1/ml (1st quartile) had increased PFS and OS (panels A); PFS was significantly increased also in patients belonging to IDA and baseline CD109+ CEC count over the 1st quartile (panels B).

Correlation between baseline CD109+ CECs and PFS/OS in patients treated with bevacizumab+irinotecan or bevacizumab alone.

Patients treated with bevacizumab and irinotecan and showing baseline CD109+ CEC count > 41.1/ml (1st quartile) had increased PFS and OS (panels A); PFS was significantly increased also in patients belonging to IDA and baseline CD109+ CEC count over the 1st quartile (panels B). In patients treated with bevacizumab and irinotecan, different changes in cell counts were detected in patients who progressed at 2 months, here defined as non-responders (n=14), compared to others (responders, n=42): counts of CECs, viable CECs, CD109+ CECs, CD45dimCD34+VEGFR2+ hematopoietic progenitor cells and CD140b+ PPCs decreased significantly after treatment in responders only (Figure 5A). A reduction of CD109+ CECs was also observed in 17 patients responding to treatment with bevacizumab alone (IDA, Figure 5B), whereas in patients treated with chemotherapy (IDB) no reduction of CD109+ CECs (78.3±38 versus 85.7±63, P=n.s.) or other cell subpopulation variations were detected.
Figure 5

CECs, CD109+ CECs, CD45dimCD34+VEGFR2+ hp, CD140b+ PPCs before therapy and at 2 months.

A: Counts of CECs, CD109+ CECs, CD45dimCD34+VEGFR2+ hp, CD140b+ PPCs before therapy and 2 months after treatment onset in patients responding to treatment with bevacizumab and irinotecan. B: Counts of CECs, CD109+ CECs, CD45dimCD34+VEGFR2+ hp, CD140b+ PPCs before therapy and 2 months after treatment onset in patients responding to treatment with bevacizumab alone (IDA).

Boxes: the interquartile range; lines: location of first quartile, median, and third quartile. ○, outliers beyond the standard span. All P values were calculated by Wilcoxon test. Abbreviations: CECs, circulating endothelial cells; hp, hematopoietic progenitor cells; PPCs, progenitor perivascular cells; VEGFR, vascular endothelial growth factor receptor.

CECs, CD109+ CECs, CD45dimCD34+VEGFR2+ hp, CD140b+ PPCs before therapy and at 2 months.

A: Counts of CECs, CD109+ CECs, CD45dimCD34+VEGFR2+ hp, CD140b+ PPCs before therapy and 2 months after treatment onset in patients responding to treatment with bevacizumab and irinotecan. B: Counts of CECs, CD109+ CECs, CD45dimCD34+VEGFR2+ hp, CD140b+ PPCs before therapy and 2 months after treatment onset in patients responding to treatment with bevacizumab alone (IDA). Boxes: the interquartile range; lines: location of first quartile, median, and third quartile. ○, outliers beyond the standard span. All P values were calculated by Wilcoxon test. Abbreviations: CECs, circulating endothelial cells; hp, hematopoietic progenitor cells; PPCs, progenitor perivascular cells; VEGFR, vascular endothelial growth factor receptor.

Multivariate analysis of patients treated with bevacizumab and irinotecan

The multivariate analysis of the same biological, clinical and radiological parameters influencing PFS or OS at univariate analysis, showed that distant disease at baseline was associated to shorter PFS (P=0.001, RR 3.5, 95% CI 1.6-7.4) and OS (P=0.003, RR 3.3, 95% CI 1.5-7.2). On the contrary CD109+ CEC counts >41.1/ml at baseline affected positively PFS (P=0.03, RR 0.39, 95% CI 0.2-0.7) and OS (P=0.04, RR 0.5, 95% CI 0.3-1). PFS only was also decreased in association to leptomeningeal dissemination (P=0.04, RR 2.0, 95% CI 1-4.2) and increased when dosage of dexamethasone was <8 mg per day (P=0.01, RR 0.4, 95% CI 0.2-0.8). All these variables were independent. When PFS and OS of patients with baseline counts of CD109+ CECs higher or lower than 41.1/ml were adjusted for dexamethasone dosage (≥8 or <8 mg/die), the difference still remained significant (P=0.009 and P=0.04, respectively).

Discussion

Our data show that CECs and CEPs at baseline are higher in GBM patients than in healthy controls, in agreement with previous results on other cancers [4,33]. Treatment with bevacizumab and irinotecan caused a general decrease of CECs and CEPs: however, such decrease was only significant in patients that did not show progression after two months. Our report suggests for the first time a potential link between CD109 expression in CECs and anti-VEGF treatment: baseline CD109+ CEC count >41.1/ml identified a subgroup of patients with longer PFS and OS and were significantly higher in long-term responders than in other patients. CD109, a glycosylphosphatidylinositol-anchored cell surface glycoprotein [34], is highly expressed in several solid tumors [35] and is one of 12 endothelial markers more expressed in tumor than normal endothelial cells [21]. Treatment with bevacizumab and irinotecan also decreased viable PPC counts, maybe due to the block of PPCs recruitment from tissue reservoirs or to PPCs inclusion into blood vessels to repair the damage induced by chemotherapy [27,36,37]. The observation that patients undergoing progression did not display changes of CECs, CD140b+ PPCs and CD45dimCD34+VEGFR2+ hematopoietic progenitor cells suggest that other biological programs, possibly favoring migration and invasion, are involved in progression, as proposed by preclinical studies [38,39]. Median and 6-month PFS and OS were slightly lower than previously reported [40,41], a likely consequence of the enrolment of patients with poor prognostic factors (e.g. KPS > 50; Table 1). OS of our patients is similar to that referred by Desjardins et al. who treated seriously impaired recurrent GBM patients with bevacizumab and metronomic TMZ [42]. PFS and OS in patients treated with bevacizumab and irinotecan were higher than in patients treated with bevacizumab alone, but the difference was not significant, as also found by Friedman et al. [43]. RANO radiological criteria were used for assessment of disease response to treatment [24], as they are better suited to study the effects of anti-angiogenic factors. The observation that distant disease at baseline is associated to a worst prognosis is of interest. Distant disease did not imply a larger tumor volume: thus, this result may allude to an increased resistance to bevacizumab due to the activation of migration/invasion programs that appear somehow alternative to progression programs based on increased angiogenesis [44]. The pattern of recurrence observed in our patients is partially different from those previously reported; at baseline local disease was less frequent than in other reports (68% versus 80% or 72% reported by Chamberlain and Pope, respectively [25,45]) and leptomeningeal dissemination was present in 14% of our patients (6.2% in Chamberlain et al. [25]). At recurrence 24% of our patients converted to a diffuse pattern (30.3% in Pérez-Larraya [46]); moreover, half of patients with leptomeningeal dissemination at baseline developed a diffuse pattern (6% of all patients). CD109 is a monomeric cell surface glycoprotein of 170 kD that is expressed on endothelial cells, activated T-lymphocytes and platelets and a subpopulation of bone marrow CD34+ cells [47]. Its expression is also high in different cancers and cancer lines, including glioblastoma [35]. CD109 is a TGF-beta co-receptor that regulates TGF-β receptor endocytosis and degradation, thus inhibiting TGF-β signaling [48]. Both VEGF and TGF-beta are involved in the regulation of endothelial cell stability [49]: whether this relationship is relevant to the results we obtained remains to be investigated. This preliminary study was not powered to adhere to all the criteria for marker identification included in the REMARK checklist [50]. However we believe that the data encourage a larger study on the predictive potential of CD109+ CEC in GBM and possibly other cancer patients treated with bevacizumab. It is conceivable that the combination other potential markers of interest, like baseline plasma levels of VEGF-A, possibly associated with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) [51] may help profiling with increased precision patients that may benefit from bevacizumab. MRI of one patient with tumor progression (A, B, C before treatment. D, E, F at 2 months). From left to right: axial T1-weighted image (T1WI) with contrast injection, axial T2WI and coronal Flair image. A: recurrent GBM with irregular and marked enhancement and cystic-necrotic areas and invasion of genu of the corpus callosum. Small areas of enhancement are visible in the basal ganglia region bilaterally. B and C: the corresponding T2 and Flair showing heterogeneous hypersignal. The surgical cavity is visible in C. D: marked reduction of the enhancement in the left frontal region and corpus callosum, almost complete disappearance of enhancement in basal ganglia region and lowering of the mass effect. E and F: T2 hypersignal is increased and infiltration of contralateral frontal regions and a slight left hyperintensity in the temporal lobe are also visible. (TIF) Click here for additional data file. MRI of one patient responding to treatment (A, B, C before treatment. D, E, F at 2 months). From left to right: axial T1- weighted with contrast injection, axial T2-weighted, sagittal Flair. A: left frontal GBM characterized by strong and irregular enhancement. B: the tumor shows heterogeneous signal on T2-wi. C: On Flair images a large T2 hyperintensity surrounding the tumor is visible. The mass effect is demonstrated by narrowing of the cortical sulci and left lateral ventricle compression. D: after two months of therapy the enhancing tumor is dramatically reduced, the left lateral ventricle is slightly enlarged. E, F: only a small hyperintensity is seen on T2-wi and Flair images. No mass effect is visible and the sulci are clearly recognizable. (TIF) Click here for additional data file. Baseline CD109+ CECs and PFS/OS in patients treated with classical antiblastic chemotherapy (IDB). Baseline CD109+ CEC count > 41.1/ml (1st quartile) were not associated with increased PFS or OS in IDB patients. (TIF) Click here for additional data file. IDA patient characteristics. (DOC) Click here for additional data file. Adverse events. (DOCX) Click here for additional data file. Characteristics of patients with CD109+ CEC > 41.1/ml or ≤ 41.1/ml at baseline. (DOCX) Click here for additional data file.
  51 in total

1.  Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  PLoS Med       Date:  2012-05-29       Impact factor: 11.069

2.  The predictive and prognostic value of circulating endothelial cells in advanced colorectal cancer patients receiving first-line chemotherapy and bevacizumab.

Authors:  L H J Simkens; J Tol; L W M M Terstappen; S Teerenstra; C J A Punt; I D Nagtegaal
Journal:  Ann Oncol       Date:  2010-10-28       Impact factor: 32.976

3.  VEGF and PlGF promote adult vasculogenesis by enhancing EPC recruitment and vessel formation at the site of tumor neovascularization.

Authors:  Bin Li; Emerson E Sharpe; Amanda B Maupin; Amylynn A Teleron; Amy L Pyle; Peter Carmeliet; Pampee P Young
Journal:  FASEB J       Date:  2006-06-05       Impact factor: 5.191

4.  Circulating endothelial cells as biomarkers for patients receiving bevacizumab.

Authors:  Francesco Bertolini; Patrizia Mancuso; Yuval Shaked
Journal:  Lancet Oncol       Date:  2011-03       Impact factor: 41.316

5.  Predictive Potential of Angiogenic Growth Factors and Circulating Endothelial Cells in Breast Cancer Patients Receiving Metronomic Chemotherapy Plus Bevacizumab.

Authors:  Angelica Calleri; Anna Bono; Vincenzo Bagnardi; Jessica Quarna; Patrizia Mancuso; Cristina Rabascio; Silvia Dellapasqua; Elisabetta Campagnoli; Yuval Shaked; Aron Goldhirsch; Marco Colleoni; Francesco Bertolini
Journal:  Clin Cancer Res       Date:  2009-12-15       Impact factor: 12.531

6.  Circulating endothelial cells predict for response to bevacizumab-based chemotherapy in metastatic colorectal cancer.

Authors:  Satoshi Matsusaka; Mitsukuni Suenaga; Yuji Mishima; Koichi Takagi; Yasuhito Terui; Nobuyuki Mizunuma; Kiyohiko Hatake
Journal:  Cancer Chemother Pharmacol       Date:  2010-12-18       Impact factor: 3.333

7.  Glioblastoma angiogenesis and tumor cell invasiveness are differentially regulated by β8 integrin.

Authors:  Jeremy H Tchaicha; Steve B Reyes; Jaekyung Shin; Mohammad G Hossain; Frederick F Lang; Joseph H McCarty
Journal:  Cancer Res       Date:  2011-08-22       Impact factor: 12.701

8.  Expression of CD109 in human cancer.

Authors:  Mizuo Hashimoto; Masatoshi Ichihara; Tsuyoshi Watanabe; Kumi Kawai; Katsumi Koshikawa; Norihiro Yuasa; Takashi Takahashi; Yasushi Yatabe; Yoshiki Murakumo; Jing-Min Zhang; Yuji Nimura; Masahide Takahashi
Journal:  Oncogene       Date:  2004-04-29       Impact factor: 9.867

9.  Genes that distinguish physiological and pathological angiogenesis.

Authors:  Steven Seaman; Janine Stevens; Mi Young Yang; Daniel Logsdon; Cari Graff-Cherry; Brad St Croix
Journal:  Cancer Cell       Date:  2007-06       Impact factor: 31.743

Review 10.  Advances in MRI assessment of gliomas and response to anti-VEGF therapy.

Authors:  Whitney B Pope; Jonathan R Young; Benjamin M Ellingson
Journal:  Curr Neurol Neurosci Rep       Date:  2011-06       Impact factor: 5.081

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  15 in total

1.  Elevated Expression of CD109 in Esophageal Squamous Cell Carcinoma.

Authors:  Fengyun Dong; Fuhong Liu; Suhua Yan; Xiaochun Liu; Zhongmin Jiang; Ju Liu
Journal:  Pathol Oncol Res       Date:  2015-06-28       Impact factor: 3.201

Review 2.  Antiangiogenic therapy of brain tumors: the role of bevacizumab.

Authors:  Elisa Trevisan; Luca Bertero; Chiara Bosa; Michela Magistrello; Alessia Pellerino; Roberta Rudà; Riccardo Soffietti
Journal:  Neurol Sci       Date:  2014-01-18       Impact factor: 3.307

3.  Parametric response maps of perfusion MRI may identify recurrent glioblastomas responsive to bevacizumab and irinotecan.

Authors:  Domenico Aquino; Anna Luisa Di Stefano; Alessandro Scotti; Lucia Cuppini; Elena Anghileri; Gaetano Finocchiaro; Maria Grazia Bruzzone; Marica Eoli
Journal:  PLoS One       Date:  2014-03-27       Impact factor: 3.240

4.  Predictive and prognostic significance of circulating endothelial cells in advanced non-small cell lung cancer patients.

Authors:  Dong-mei Yuan; Qin Zhang; Yan-ling Lv; Xing-qun Ma; Yan Zhang; Hong-bing Liu; Yong Song
Journal:  Tumour Biol       Date:  2015-06-18

5.  Flow cytometric analysis of circulating endothelial cells and endothelial progenitors for clinical purposes in oncology: A critical evaluation.

Authors:  Marco Danova; Giuditta Comolli; Mariangela Manzoni; Martina Torchio; Giuliano Mazzini
Journal:  Mol Clin Oncol       Date:  2016-03-18

6.  CD109 Mediates Cell Survival in Hepatocellular Carcinoma Cells.

Authors:  Guijuan Zong; Zhiwei Xu; Shusen Zhang; Yifen Shen; Huiyuan Qiu; Guizhou Zhu; Song He; Tao Tao; Xudong Chen
Journal:  Dig Dis Sci       Date:  2016-04-13       Impact factor: 3.199

7.  CD109 is a potential target for triple-negative breast cancer.

Authors:  Ji Tao; Hongbin Li; Qingwei Li; Yu Yang
Journal:  Tumour Biol       Date:  2014-08-23

8.  Prognostic value and kinetics of circulating endothelial cells in patients with recurrent glioblastoma randomised to bevacizumab plus lomustine, bevacizumab single agent or lomustine single agent. A report from the Dutch Neuro-Oncology Group BELOB trial.

Authors:  N Beije; J Kraan; W Taal; B van der Holt; H M Oosterkamp; A M Walenkamp; L Beerepoot; M Hanse; M E van Linde; A Otten; R M Vernhout; F Y F de Vos; J W Gratama; S Sleijfer; M J van den Bent
Journal:  Br J Cancer       Date:  2015-06-04       Impact factor: 7.640

9.  Genome-wide association study of toxic metals and trace elements reveals novel associations.

Authors:  Esther Ng; P Monica Lind; Cecilia Lindgren; Erik Ingelsson; Anubha Mahajan; Andrew Morris; Lars Lind
Journal:  Hum Mol Genet       Date:  2015-05-29       Impact factor: 6.150

Review 10.  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

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