Literature DB >> 29383038

Evaluation of PD-L1/PD-1 on circulating tumor cells in patients with advanced non-small cell lung cancer.

Galatea Kallergi1, Eleni-Kyriaki Vetsika2, Despoina Aggouraki2, Eleni Lagoudaki3, Anastasios Koutsopoulos3, Filippos Koinis4, Panagiotis Katsarlinos2, Maria Trypaki2, Ippokratis Messaritakis2, Christos Stournaras5, Vassilis Georgoulias6, Athanasios Kotsakis7.   

Abstract

BACKGROUND: Circulating tumor cells (CTCs) could escape from the immune system through the programmed death-ligand 1 (PD-L1)/programmed cell death protein 1 (PD-1) axis leading to the development of metastasis. The current study investigated the expression of PD-1/PD-L1 on CTCs isolated from non-small cell lung cancer (NSCLC) patients treated with chemotherapy. PATIENTS AND METHODS: CTCs were isolated from 30 chemo-naïve stage IV NSCLC patients before and after front-line chemotherapy using the ISET filtration platform. CTCs were detected by Giemsa and immunofluorescence (IF) staining. Samples were analyzed with the ARIOL system.
RESULTS: Giemsa staining revealed that 28 (93.3%) out of 30 and 9 (81.8%) out of 11 patients had detectable CTCs at baseline and after the third chemotherapy cycle, respectively. Cytokeratin (CK)+/CD45- CTCs by IF could be detected in 17 of 30 (56.7%) patients at baseline and in 8 of 11 (72.7%) after the third chemotherapy cycle. Spearman analysis revealed a significant correlation (p = 0.001) between Giemsa-positive and IF-positive (CK+/CD45-) CTCs. At baseline, PD-1 and PD-L1 expression was observed in 53% and in 47% CK-positive patients, respectively. After the third treatment cycle the corresponding numbers were 13% and 63% respectively. Median progression-free survival (PFS) was significantly shorter in patients with >3 PD-1(+) CTCs at baseline compared with those with <3 PD-1(+) CTCs (p = 0.022) as well as in patients with >1 Giemsa-positive tumor cells (p = 0.025).
CONCLUSION: PD-1(+) and PD-L1(+) CTCs could be detected before and after front-line chemotherapy in patients with metastatic NSCLC. The presence of high PD-1(+) CTC numbers before treatment is associated with a poor patient clinical outcome.

Entities:  

Keywords:  CTCs; NSCLC; PD-L1/PD-1

Year:  2018        PMID: 29383038      PMCID: PMC5784570          DOI: 10.1177/1758834017750121

Source DB:  PubMed          Journal:  Ther Adv Med Oncol        ISSN: 1758-8340            Impact factor:   8.168


Introduction

Programmed cell death protein 1 (PD-1) is an inhibitory immune checkpoint and has been identified as an indicator of exhausted CD8+ effector T-cells in chronic diseases including cancer. Programmed death-ligand 1 (PD-L1) is expressed on tumor cells and its interaction with PD-1 on the surface of immune cells regulates negatively the immune system. The blockade of the PD-1/PD-L1 interaction can partially restore T-cell function,[1] allowing the antitumor efficacy of effector CD8+ lymphocytes.[2,3] High levels of PD-L1 on tumor cells has been correlated with poor prognosis in distinct tumor types.[4] Dissemination of tumor cells (disseminated tumor cells; DTCs) in the bone marrow or in the blood (circulating tumor cells; CTCs) is an obligatory step toward the development of metastatic disease.[5-8] The detection of CTCs has been associated with unfavorable clinical outcome in cancer patients.[9-14] Indeed, the detection of CTCs in patients with non-small cell lung cancer (NSCLC) before treatment has been associated with reduced progression-free survival (PFS) and overall survival (OS).[15] However, the detection rate of CTCs in patients with NSCLC considerably varies depending on the isolation methods,[11,16] suggesting a heterogeneity of CTCs. Indeed, it has been reported that the detection rate of CTCs in patients with advanced NSCLC was higher using the ISET system compared with the CellSearch platform;[11,16] ISET-isolated CTCs from patients with NSCLC have been shown to bear important chromosomal instability and genetic rearrangements.[17,18] Antibodies (Abs) against PD-1/PD-L1 are a new class of immune checkpoint inhibitors with documented antitumor activity through the blockage of the interactions between inhibitory receptors expressed on T-cells and their ligands on tumor cells. A number of studies have investigated whether the efficacy of antibodies against immune check point inhibitors correlates to PD-L1 expression on tumor cells. Although high expression of PD-L1 on tumor cells has been proposed as a reliable predictor of efficacy for anti-PD-L1/PD-1 Abs, this is not the case for patients whose tumors present a low PD-L1 expression.[19,20] The difficulty to more precisely define the value of PD-L1 expression on tumor cells might be related to tumor cell heterogeneity which has been, recently, emerged as an important factor leading to treatment resistance.[21] Previous studies from our group had focused on the use of CTCs as biosource to define real-time biomarkers useful for disease prognostication[22] or selection of targeted treatment.[23-25] The expression of PD-L1 in CTCs has been addressed in a limited number of studies so far. Indeed, positive CTCs have been identified in patients with breast and head/neck cancer and the presence of PD-L1(+) CTCs has been shown to be associated with patients’ clinical outcomes.[26-29] There are also very few data in the literature concerning the expression of PD-L1 in CTCs in patients with NSCLC.[27,30,31] Particularly, the study by Schehr and colleagues[31] was a methodological approach for the detection of PD-L1 expressing-CTCs. Furthermore, Nicolazzo and colleagues[30] evaluated the efficacy of nivolumab in a small group (n = 24) of patients with NSCLC according to the PD-L1 expression on CTCs; the authors reported that the presence PD-L1(+) CTCs was associated with a poor patient outcome. In the current study, we sought to investigate the expression of PD-1 and PD-L1 on CTCs in newly diagnosed chemotherapy-naïve patients with advanced stage NSCLC during front-line chemotherapy using the ISET platform.

Materials and methods

Cancer cell lines

The following lung cancer cell lines were used in control experiments, in order to define the pattern of PD-1 and PD-L1 expression for subsequent evaluation of clinical samples: H460 cell line (large cell lung cancer), H1299 (lymph node metastasis of a lung adenocarcinoma), HCC827 (adenocarcinoma lung cancer) and SKMES (squamous cell carcinoma). All cell lines were obtained from ATCC (American Type Culture Collection, USA). The H1299 cell line was cultured in 1:1 Dulbecco’s Modified Eagle Medium (GIBCO-BRL Co, MD, USA) supplemented with 10% fetal bovine serum (FBS; GIBCO-BRL), and 50 mg/ml penicillin/streptomycin. The SKMES cell line was cultured in MEM-alpha (GIBCO-BRL) with 10% FBS and 50 mg/ml penicillin/streptomycin. The HCC827 cell line was cultured in RPMI (GIBCO-BRL) plus 10% FBS and penicillin/streptomycin. Finally, the H460 cell line was cultured in RPMI, 5% sodium pyruvate and 10% FBS and penicillin/streptomycin. Sub-cultivation of all cell lines was performed with 0.25% trypsin (GIBCO-BRL) and 5 mm EDTA (GIBCO-BRL). Cells were maintained in a humidified atmosphere of 5% CO2 in air. All experiments were performed during the logarithmic growth phase of the cells. For spiking experiments various dilutions (10 cells/ml, 100 cells/ml and 1000 cells/ml of blood) of cells from the four cell lines were spiked in 10 ml of blood obtained from healthy blood volunteers in order to mimic the CTC microenvironment in our control samples.

Patients’ blood samples

Peripheral blood (10 ml in EDTA) was obtained from 30 chemotherapy-naïve patients with metastatic NSCLC before the administration of front-line chemotherapy (baseline sample); a second blood sample was also obtained in 11 of them after the third chemotherapy cycle at the time of assessment of treatment efficacy. In the remaining patients, a second blood sample was not available either because of early disease progression before assessment of treatment efficacy or early death or, finally, for technical reasons. Blood samples were obtained at the middle of vein puncture after the first 5 ml of blood were discarded in order to avoid contamination of the blood sample with epithelial cells from the skin during sample collection. The protocol has been approved by the Ethics and Scientific Committees of our institution and all patients and healthy blood donors gave their informed consent to participate in the study.

ISET isolation system

CTCs were isolated using the ISET platform according to the manufacturer instructions. Briefly, 10 ml of peripheral blood were diluted in 1:10 ISET buffer (Rarecells, Paris, France) for 10 min at room temperature (RT), and 10 ml of the diluted sample was filtered using depression tab adjusted at 10 KPa. The membrane was dried for 2 h at RT and stored at −20oC. Each spot of the membrane was used for identification of CTCs after staining with May-Grünwald Giemsa and for immunostaining and fluorescent microscopy.

May-Grünwald Giemsa staining

CTCs captured in the ISET filters were stained according to a validated protocol provided by the manufacturer.[32,33] Briefly, spots were stained using pure May-Grünwald Giemsa solution (Sigma Life Science, Taufkirchen, Germany) for 3 min and then incubated in diluted 1:2 May-Grünwald Giemsa for 3 min. Subsequently, samples were placed in Giemsa solution (Sigma Life Science, Germany) diluted 1/10 and incubated for 15 min. Spots were, then, rinsed with PBS and dried at RT. Samples were analyzed with bright field microspore by two experienced pathologists (EL and AK).

Immunofluorescence staining

CTCs from patients, as well as cancer cells from spiking experiments, were analyzed for the expression of PD-L1 and PD-1 using double and triple IF staining with the corresponding antibodies. Triple IF staining for cytokeratin (CK)/PD-1/CD45 and CK/PD-L1/CD45 was performed in cancer patients who harvested PD-1 or PD-L1 positive CTCs with double IF in order to confirm that the cells characterized as CTCs were not hematopoietic cells. The samples were, subsequently, evaluated using the ARIOL system. This platform can automatically identify the mean fluorescence intensity per pixel for each isolated tumor cell. For IF staining, spots were incubated with PBS for 5 min and then the cells were permeabilized with 2% Triton for 10 min. After 1 h blocking with PBS/10% FBS, cells were incubated either with anti-PD-1/FITC (Clone EH 12.2H7, Biolegend, San Diego, USA) or anti-PD-L1 (clone B7-H1/PD-L1/CD274; Novus Biologicals, Abingdon, UK) antibodies. For the detection of PD-L1 the samples were further incubated with Alexa 555 anti-rabbit antibody (Invitrogen, Carlsbad, CA, USA). For the detection of CKs two different antibodies were used as a cocktail: the clone A45-B/B3 anti-mouse Ab recognizing the CKs 8/18/19 (Micromet Munich, Germany) and an anti-mouse Ab against CK7 (clone RCK105; Abcam, Cambridge, UK). CK7 was used in order to increase the recovery rate of CTCs since this cytokeratin is highly expressed in NSCLC tumor cells;[34] Consequently, in case of PD-L1/CK/CD45 staining, Alexa 488 (Invitrogen) anti-mouse was used as a secondary antibody for the identification of CK. In case of PD-1/CK/CD45 staining, the secondary antibody for CK was the Alexa 555 (Invitrogen) anti-mouse because PD-1 was already conjugated with FITC. Consequently, anti-CD45 antibody conjugated with Alexa 647 (clone HI30; Novus Biologicals) was also added in order to exclude the hematopoietic nature of the cells. Positive controls were used in each experiment using the above cell lines spiked in healthy volunteers’ blood while negative controls were prepared by omitting the corresponding primary antibodies and incubating the cells with the matching immunoglobulin (Ig)G isotype bound to the corresponding fluorochrome. The cytomorphological criteria described by Meng were used for the characterization of a cell as a CTC.[35]

Results

PD-1 and PD-L1 expression in cell line tumor cells

The mean intensity staining for PD-1 and PD-L1 of the four NSCLC cell lines is presented in Figure 1 (A, B) and Suppl. Figure 2. The highest mean intensity per pixel of PD-1 and PD-L1 staining was observed in HCC827 cells [181.4 ± 26.3 and 172.2 ± 27.7 respectively; Figure 1(A, B)] whereas, the lowest intensity of PD-1 staining was observed in the H460 cells (105.2 ± 40.8) and for PD-L1 in the squamous cell line SKMES (22.5 ± 3). The mean intensity of PD-1 staining was significantly different among the cell lines [Figure 1(A)]. Based on these findings, CTCs with expression intensity higher than the observed in H460 and SKMES cells were considered as positive for PD-1 and PD-L1 expression, respectively.
Figure 1.

Quantification of PD-1 and PD-L1 in control cell lines.

(A) Mean intensity per pixel of PD-1 expression in H460, H1299, HCC827 and SKMES cell lines, automatically quantified by ARIOL system.

(B) Mean intensity per pixel of PD-L1 expression in H460, H1299, HCC827 and SKMES cell lines, automatically quantified by ARIOL system.

PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1.

Quantification of PD-1 and PD-L1 in control cell lines. (A) Mean intensity per pixel of PD-1 expression in H460, H1299, HCC827 and SKMES cell lines, automatically quantified by ARIOL system. (B) Mean intensity per pixel of PD-L1 expression in H460, H1299, HCC827 and SKMES cell lines, automatically quantified by ARIOL system. PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1.

Detection of CTCs in NSCLC patients

The presence of CTCs was evaluated with Giemsa and IF. The morphologic analysis [Figure 2(A)] of the captured CTCs after May-Grünwald Giemsa staining led to the following observations: (i) CTCs presented a high nuclear-to-cytoplasmic (N/C) ratio and exhibited prodigious polymorphism, which translated in morphologic phenotypes that ranged from epithelioid to mesenchymal; (ii), there were significant variations in cell size, shape and nuclear quality; (iii) nuclei were, usually, hyperchromatic with sizes that alternated from bland small cells (a, b, c, d, e) to large cells (f) exhibiting one or more small nucleoli or even macronucleoli. Cells could be identified as a single CTC (a) or in clusters (g, h). Giemsa staining revealed CTCs in 28 of 30 (93.3%) studied patients at baseline and in 9 of 11 (81.8%) patients studied after the third chemotherapy cycle [Figure 2(B)]. The median number of detected CTCs was 5 CTCs/ml of blood (range, 0–23 CTCs/ml of blood).
Figure 2.

CTCs in NSCLC patients.

(A) Representative Giemsa staining in patients’ samples.

(B) Percentage of NSCLC patients with CTCs at baseline and after the third cycle as evaluated by IF and Giemsa staining.

(C) (a–d): Representative ARIOL Images (magnification ×40) of CTCs stained with PD-1/CK/CD45. In the same patient, both [PD-1+(green)/CK+(orange)/CD45-(far red)]] and (PD-1-/CK+/CD45-) phenotypes were observed.

(e–h): Representative ARIOL Images (magnification ×40) of CTCs stained for PD-L1 [(orange)/CK (green)/CD45(far red)] antibodies (magnification ×40).

CK, cytokeratin; CTC, circulating tumor cell; IF, immunofluorescence; NSCLC, non-small cell lung cancer; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1.

CTCs in NSCLC patients. (A) Representative Giemsa staining in patients’ samples. (B) Percentage of NSCLC patients with CTCs at baseline and after the third cycle as evaluated by IF and Giemsa staining. (C) (a–d): Representative ARIOL Images (magnification ×40) of CTCs stained with PD-1/CK/CD45. In the same patient, both [PD-1+(green)/CK+(orange)/CD45-(far red)]] and (PD-1-/CK+/CD45-) phenotypes were observed. (e–h): Representative ARIOL Images (magnification ×40) of CTCs stained for PD-L1 [(orange)/CK (green)/CD45(far red)] antibodies (magnification ×40). CK, cytokeratin; CTC, circulating tumor cell; IF, immunofluorescence; NSCLC, non-small cell lung cancer; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1. Using IF staining [Figure 2(C), Suppl. Figure 1], CTCs could be detected in 17 of 30 (56.7%) patients at baseline and in 8 of 11 (72.7%) after the third treatment cycle [Figure 2(B)]. The concordance between the two detection methods at baseline and after the third treatment cycle was 63.3% and 67%, respectively. A statistical significant correlation was observed in both time points between CK-positive and Giemsa-positive tumor cells (Spearman test: p = 0.001).

Detection of PD-L1(+) CTCs in NSCLC patients

In the whole group of patients, the rate of detection of PD-L1(+) CTCs was 26.7% (8 out of 30) at baseline while after the third cycle this percentage increased to 45.5% (5 out of 11) [p = 0.096; Figure 3(A)]. The mean number of CK+/PD-L1+ CTCs was 1 CTC/ml of blood (range; 1–8 CTCs/ml) at baseline. After the third cycle of treatment, the mean number of CK+/PD-L1+ CTCs was 1.2 (range; 1–4 CTCs/ml). Among the CK-positive patients, PD-L1(+) CTCs were identified in 47% (8/17) at baseline and in 63% (5/8) CK-positive patients after the third cycle of treatment. All the cells that were characterized as double positive were found as single CTCs in the blood stream.
Figure 3.

Expression of PD-1 and PD-L1 NSCLC patients.

(A) Percentage of patients expressing CK(+)/PD-L1(+)/CD45(-) cells at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients.

(B) Percentage of patients expressing CK(+)/PD-L1(-)/CD45(-) at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients.

(C) Percentage of patients expressing CK(+)/PD-1(+)/CD45(-) cells at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients.

(D) Percentage of patients expressing CK(+)/PD-1(-)/CD45(-) cells at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients.

Expression of PD-1 and PD-L1 NSCLC patients. (A) Percentage of patients expressing CK(+)/PD-L1(+)/CD45(-) cells at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients. (B) Percentage of patients expressing CK(+)/PD-L1(-)/CD45(-) at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients. (C) Percentage of patients expressing CK(+)/PD-1(+)/CD45(-) cells at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients. (D) Percentage of patients expressing CK(+)/PD-1(-)/CD45(-) cells at baseline and after the 3rd cycle of treatment as compared to the CK-positive group of patients. Among the total examined CTCs, PD-L1 expression was observed in 15% of the isolated tumor cells at baseline, while after treatment the corresponding frequency was 80%. The mean intensity of the PD-L1 expression on CTCs according to ARIOL system was 128.905 ± 0.3. In addition, 20% (6/30) and 18.2% (2/11) patients harvested PD-L1(−) CTCs at baseline and after the third chemotherapy cycle, respectively [Figure 3(B)]. The absolute number of CTCs per patient is shown in Table 1. Only two patients at baseline and one at the third cycle harvested simultaneously two different CTC phenotypes [PD-L1(+) and PD-L1(−)].
Table 1.

Phenotype of CTCs at baseline and after the third chemotherapy cycle.

Baseline samples
Third cycle samples
PatientsGIEMSAPD-1+/CK+PD-1-/CK+PD-L1+/CK+PD-L1-/CK+PatientsGIEMSAPD-1+/CK+PD-1-/CK+PD-L1+/CK+PD-L1-/CK+
100000100110
290010200010
350200350100
4213084410000
5100005100040
682310630100
711000760201
830000810000
950010960110
10310101012011
11900001150000
1262000
1371002
1480002
1540000
1610000
1700000
1830000
1950000
2050202
2120200
2280000
2321000
24208019
2540110
2650010
2720000
2820000
2980000
302310024

CK, cytokeratin; CTC, circulating tumor cell; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1.

Phenotype of CTCs at baseline and after the third chemotherapy cycle. CK, cytokeratin; CTC, circulating tumor cell; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1.

Detection of PD-1(+) CTCs in NSCLC patients

In the whole group of patients, the rate of detection of CK(+)/PD1(+) CTCs was 30% (9/30) and 9.1% (1/11) at baseline and after the third cycle of treatment, respectively [p = 0.785; Figure 3(C)]. Similarly, among the CK-positive patients at baseline, CK(+)/PD1(+) CTCs were detected in 9 out of 17 (53%) and in 1 of 8 (13%) patients at baseline and after 3 cycles of treatment, respectively [p = 0.301; Figure 3(B)]. All the PD-1 positive CTCs were found as single cells. Among the total examined CTCs, PD-1 expression was observed in 66.7% of the cells at baseline, while after the third cycle only 25% of the CTCs were PD-1(+). The mean intensity of PD-1 on CTCs was 117.4 ± 2.16. Furthermore, PD-1(−) CTCs were detectable in 16.7% of patients at baseline and in 45.5% after the third chemotherapy cycle [Figure 3(D)]. Table 1 presents the absolute number of CTCs per phenotype both at baseline and after the third cycle of treatment. It is interesting that only one patient out of 30 harvested simultaneously two different phenotypes [PD-1(+) and PD-1(−)] of CTCs.

Clinical outcome according to the presence of PD-L1(+) and PD-1(+) CTCs

After a median follow-up period of 5 months (range, 1–13), patients harvesting >1 CTCs/ml of blood (n = 25), as defined by Giemsa, had a significantly shorter PFS compared with patients with 0–1 CTCs/ml (n = 5) of blood [6.5 months versus 2.9 months, respectively; hazard ratio (HR) = 1.104, p = 0.025; Figure 4(A)].
Figure 4.

CTCs and clinical outcome.

(A) Patients with >1 Giemsa(+) CTC at baseline experienced lower PFS.

(B) Patients with >3 PD-1(+) CTCs at baseline experienced lower PFS.

CTC, circulating tumor cell; PD-1, programmed cell death protein 1; PFS, progression-free survival.

CTCs and clinical outcome. (A) Patients with >1 Giemsa(+) CTC at baseline experienced lower PFS. (B) Patients with >3 PD-1(+) CTCs at baseline experienced lower PFS. CTC, circulating tumor cell; PD-1, programmed cell death protein 1; PFS, progression-free survival. Similarly, patients (n = 2) with >3 CK(+)/PD-1(+)/ml of blood had a significantly shorter PFS compared with patients with <3 CK(+)/PD-1(+) CTCs/ ml of blood (n = 28) [0.5 months versus 3.9 months, respectively; HR = 1.14, p = 0.022; Figure 4(B)]. There was no significant difference in terms of OS among the two groups of patients.

Discussion

Metastasis is the leading cause of cancer-related death; however, the mechanisms that govern this process are still under investigation. There is substantial evidence that CTCs are involved in the metastatic process and, thus, their appropriate targeting could be emerged as an important tool to prevent their dissemination and development of metastasis.[23-25] PD-1/PD-L1 crosstalk between cancer and immune cells is well-studied. PD-L1 expression on tumor cells has been correlated with poor prognosis in different tumor types.[4,19] There are a number of studies evaluating the PD-1/PD-L1 expression on primary tumor cells as a predictive biomarker for the efficacy of immune checkpoint inhibitors and, therefore, as a tool for the selection of candidate patients for immunotherapy. However, most of these studies evaluated PD-L1 expression on an archival tumor sample which has been proposed as a major obstacle for the safe determination of PD-L1 expression on the tumor cells. Consequently, there is a great need for a re-biopsy in order to real-time evaluate the PD-L1 status which, in daily clinical practice, is difficult to accomplish. In this context, the presence of viable CTCs, could be a valuable source to longitudinally evaluate the PD-L1 expression on tumor cells during the different clinical phases of the disease. Indeed, recent studies have reported the expression of PD-L1 on CTCs isolated from breast, bladder, head and neck and NSCLC.[26-28,30,31,36] The current study evaluated both the expression of PD-1 and PD-L1 on CTCs isolated from newly diagnosed and chemotherapy-naïve patients with stage IV NSCLC. The CTCs were isolated using the ISET platform[16-18,37] and their detection was performed using both May-Grünwald Giemsa staining as well as triple immunofluorescence staining using antibodies against CK, PD-1or PD-L1 and CD45. It is interesting to note that both methods of detection gave practically similar results as assessed by Spearmen analysis (p = 0.001). Nevertheless, Giemsa was able to detect a higher number of patients with detectable CTCs, irrespectively of the treatment status and this could be, probably attributed to the fact that many CTCs in patients with NSCLC are under epithelial to mesenchymal transition and they express low level of CK.[11,38,39] The intensity of PD-L1 and PD-1 was first evaluated on tumor cell lines in order to define whether the expression of these molecules is homogeneous irrespectively of the tumor histology. Indeed, the quantification of the intensity staining revealed significant differences between the different cell lines (Figure 1). This quantification gave a more objective cutoff in order to characterize a cell as PD-L1(+) or PD-1(+). The current study clearly indicated the presence of both PD-L1(+) and PD-1(+) CTCs in patients with untreated NSCLC. Moreover, our findings indicate, for the first time, that in some patients, CTCs may also express the PD-1 receptor both before and after chemotherapy, implying a bilateral crosstalk between immune cells and CTCs. An interesting observation of the present study was that after three cycles of chemotherapy, the detection of CK(+)/PD-1(+) CTCs was reduced while, the detection of CK(+)/PD-L1(+) CTCs was increased; these findings are in agreement with the knowledge that treatment can influence the frequency of CTCs[22,24] which further supports the hypothesis that chemotherapy might preferentially eliminate a subpopulation of CTCs [PD-1(+)]. Interestingly, the study by Nicolazzo and colleagues[30] also reported an increase of the PD-L1(+)CTCs after 3 months of treatment with nivolumab in patients with NSCLC, suggesting that PD-L1(+) tumor cells are resistant to both chemotherapy and targeted therapy.[30] Despite the fact that the number of studied patients was low, the detection of CTCs was associated with patients’ clinical outcomes. Indeed, the detection of >1 CTCs/ml of blood by Giemsa at baseline was significantly associated with decreased PFS (p = 0.025). Moreover, it is interesting to note that the detection of >3 CK(+)/PD-1(+) CTCs/ml of blood by IF at baseline, was also associated with shorter PFS (p = 0.022) compared with patients with <3 CK(+)/PD-1(+) CTCs/ml of blood. This finding raises important questions regarding the role of PD-1 expression on CTCs during immune recognition and whether antibodies against this molecule also target CTCs. Alternatively, we cannot exclude that PD-1 expression on CTCs may be involved in an interactive crosstalk between immune cells and CTCs.[40-42] However, it should be mentioned that any correlation between CTC phenotype and clinical outcome is only exploratory due to the observational nature of the study. In conclusion, the current study demonstrates the presence of CTCs in patients with recurrent/metastatic NSCLC expressing both PD-1 and PD-L1 at baseline and after 3 cycles of chemotherapy, suggesting that these cells could be a useful biologic material in order to investigate biomarkers associated with the efficacy of immune checkpoints inhibitors.

Conclusions

PD-1 and PD-L1 molecules are effective targets for the treatment of NSCLC patients. This study evaluated the expression of both molecules in patients’ CTCs and the presented data demonstrate that CTCs are an easily accessible biologic material compared with repeated biopsies. Our results demonstrated that both PD-1 and PD-L1 molecules are expressed in newly diagnosed chemotherapy-naïve patients with NSCLC suggesting a crosstalk between immune cells and CTCs in the blood steam. Patients harboring >3 PD-1(+) CTCs had a significantly shorter PFS.
  42 in total

1.  Evaluation of Isolation Methods for Circulating Tumor Cells (CTCs).

Authors:  Galatea Kallergi; Eleni Politaki; Saad Alkahtani; Christos Stournaras; Vassilis Georgoulias
Journal:  Cell Physiol Biochem       Date:  2016-11-25

2.  Analysis of circulating tumor cells in patients with non-small cell lung cancer using epithelial marker-dependent and -independent approaches.

Authors:  Matthew G Krebs; Jian-Mei Hou; Robert Sloane; Lee Lancashire; Lynsey Priest; Daisuke Nonaka; Tim H Ward; Alison Backen; Glen Clack; Andrew Hughes; Malcolm Ranson; Fiona H Blackhall; Caroline Dive
Journal:  J Thorac Oncol       Date:  2012-02       Impact factor: 15.609

3.  Systemic spread is an early step in breast cancer.

Authors:  Yves Hüsemann; Jochen B Geigl; Falk Schubert; Piero Musiani; Manfred Meyer; Elke Burghart; Guido Forni; Roland Eils; Tanja Fehm; Gert Riethmüller; Christoph A Klein
Journal:  Cancer Cell       Date:  2008-01       Impact factor: 31.743

4.  Elimination of EGFR-expressing circulating tumor cells in patients with metastatic breast cancer treated with gefitinib.

Authors:  Antonia Kalykaki; Sofia Agelaki; Galatea Kallergi; Alexandros Xyrafas; Dimitris Mavroudis; Vassilis Georgoulias
Journal:  Cancer Chemother Pharmacol       Date:  2014-02-04       Impact factor: 3.333

5.  Epithelial to mesenchymal transition markers expressed in circulating tumour cells of early and metastatic breast cancer patients.

Authors:  Galatea Kallergi; Maria A Papadaki; Eleni Politaki; Dimitris Mavroudis; Vassilis Georgoulias; Sophia Agelaki
Journal:  Breast Cancer Res       Date:  2011-06-10       Impact factor: 6.466

6.  Efficacy of Lapatinib in Therapy-Resistant HER2-Positive Circulating Tumor Cells in Metastatic Breast Cancer.

Authors:  Sofia Agelaki; Antonia Kalykaki; Harris Markomanolaki; Maria A Papadaki; Galatea Kallergi; Dora Hatzidaki; Kostas Kalbakis; Dimitrios Mavroudis; Vassilis Georgoulias
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

7.  The association between PD-L1 and EGFR status and the prognostic value of PD-L1 in advanced non-small cell lung cancer patients treated with EGFR-TKIs.

Authors:  Yanna Tang; Wenfeng Fang; Yaxiong Zhang; Shaodong Hong; Shiyang Kang; Yue Yan; Nan Chen; Jianhua Zhan; Xiaobo He; Tao Qin; Ge Li; Wenyi Tang; Peijian Peng; Li Zhang
Journal:  Oncotarget       Date:  2015-06-10

8.  Monitoring PD-L1 positive circulating tumor cells in non-small cell lung cancer patients treated with the PD-1 inhibitor Nivolumab.

Authors:  Chiara Nicolazzo; Cristina Raimondi; MariaLaura Mancini; Salvatore Caponnetto; Angela Gradilone; Orietta Gandini; Maria Mastromartino; Gabriella Del Bene; Alessandra Prete; Flavia Longo; Enrico Cortesi; Paola Gazzaniga
Journal:  Sci Rep       Date:  2016-08-24       Impact factor: 4.379

9.  High PD-L1 Expression Correlates with Metastasis and Poor Prognosis in Oral Squamous Cell Carcinoma.

Authors:  Yueh-Min Lin; Wen-Wei Sung; Ming-Ju Hsieh; Shih-Chen Tsai; Hung-Wen Lai; Shu-Mei Yang; Ko-Hong Shen; Mu-Kuan Chen; Huei Lee; Kun-Tu Yeh; Chih-Jung Chen
Journal:  PLoS One       Date:  2015-11-12       Impact factor: 3.240

10.  High Specificity in Circulating Tumor Cell Identification Is Required for Accurate Evaluation of Programmed Death-Ligand 1.

Authors:  Jennifer L Schehr; Zachery D Schultz; Jay W Warrick; David J Guckenberger; Hannah M Pezzi; Jamie M Sperger; Erika Heninger; Anwaar Saeed; Ticiana Leal; Kara Mattox; Anne M Traynor; Toby C Campbell; Scott M Berry; David J Beebe; Joshua M Lang
Journal:  PLoS One       Date:  2016-07-26       Impact factor: 3.240

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  27 in total

Review 1.  Emerging role of circulating tumor cells in immunotherapy.

Authors:  Alexey Rzhevskiy; Alina Kapitannikova; Polina Malinina; Arthur Volovetsky; Hamidreza Aboulkheyr Es; Arutha Kulasinghe; Jean Paul Thiery; Anna Maslennikova; Andrei V Zvyagin; Majid Ebrahimi Warkiani
Journal:  Theranostics       Date:  2021-07-06       Impact factor: 11.556

Review 2.  Prognostic and therapeutic significance of circulating tumor cells in patients with lung cancer.

Authors:  Meysam Yousefi; Parisa Ghaffari; Rahim Nosrati; Sadegh Dehghani; Arash Salmaninejad; Yousef Jafari Abarghan; Seyed H Ghaffari
Journal:  Cell Oncol (Dordr)       Date:  2019-12-11       Impact factor: 6.730

Review 3.  Nanotechnology in Radiation Oncology.

Authors:  Bo Sun; C Tilden Hagan; Joseph Caster; Andrew Z Wang
Journal:  Hematol Oncol Clin North Am       Date:  2019-10-01       Impact factor: 3.722

Review 4.  Circulating tumor cell profiling for precision oncology.

Authors:  Mahmoud Labib; Shana O Kelley
Journal:  Mol Oncol       Date:  2021-02-01       Impact factor: 6.603

Review 5.  The Use of Microfluidic Technology for Cancer Applications and Liquid Biopsy.

Authors:  Arutha Kulasinghe; Hanjie Wu; Chamindie Punyadeera; Majid Ebrahimi Warkiani
Journal:  Micromachines (Basel)       Date:  2018-08-10       Impact factor: 2.891

6.  The prognostic significance of circulating tumor cells in head and neck and non-small-cell lung cancer.

Authors:  Arutha Kulasinghe; Joanna Kapeleris; Rebecca Kimberley; Stephen R Mattarollo; Erik W Thompson; Jean-Paul Thiery; Liz Kenny; Ken O'Byrne; Chamindie Punyadeera
Journal:  Cancer Med       Date:  2018-11-22       Impact factor: 4.452

7.  Longitudinal Evaluation of PD-L1 Expression on Circulating Tumor Cells in Non-Small Cell Lung Cancer Patients Treated with Nivolumab.

Authors:  Mio Ikeda; Yasuhiro Koh; Shunsuke Teraoka; Koichi Sato; Jun Oyanagi; Atsushi Hayata; Nahomi Tokudome; Hiroaki Akamatsu; Yuichi Ozawa; Katsuya Endo; Masayuki Higuchi; Masanori Nakanishi; Hiroki Ueda; Nobuyuki Yamamoto
Journal:  Cancers (Basel)       Date:  2021-05-11       Impact factor: 6.639

8.  The prognostic value of JUNB-positive CTCs in metastatic breast cancer: from bioinformatics to phenotypic characterization.

Authors:  Galatea Kallergi; Vasileia Tsintari; Stelios Sfakianakis; Ekaterini Bei; Eleni Lagoudaki; Anastasios Koutsopoulos; Nefeli Zacharopoulou; Saad Alkahtani; Saud Alarifi; Christos Stournaras; Michalis Zervakis; Vassilis Georgoulias
Journal:  Breast Cancer Res       Date:  2019-08-01       Impact factor: 6.466

Review 9.  The Interplay between Circulating Tumor Cells and the Immune System: From Immune Escape to Cancer Immunotherapy.

Authors:  Kevin Leone; Cristina Poggiana; Rita Zamarchi
Journal:  Diagnostics (Basel)       Date:  2018-08-30

10.  Correlation between PD-L1 expression ON CTCs and prognosis of patients with cancer: a systematic review and meta-analysis.

Authors:  Defeng Kong; Wen Zhang; Zhenrong Yang; Guoliang Li; Shujun Cheng; Kaitai Zhang; Lin Feng
Journal:  Oncoimmunology       Date:  2021-06-21       Impact factor: 8.110

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