Abstract
The aim of the study was to evaluate the phenotypic CTCs heterogeneity (TTF-1+ and/or CD56+) in SCLC patients and correlate it with the CellSearch. Peripheral blood was obtained from 108 consecutive patients. CTCs were detected by CellSearch and double-immunofluorescence using anti-CD45, anti-TTF-1 and anti-CD56 antibodies. Before chemotherapy TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs were detected in 66(61.1%), 55(50.9%) and 46(42.6%) patients, respectively; 60.2% of patients were CellSearch+. Among the 22 patients with 0 CTCs/7.5 ml on CellSearch, TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs were detected in 8(36.4%), 6(27.3) and 6(27.3%) patients, respectively; no CK+/EpCAM+ or TTF1+/EpCAM+ CTCs were detected in these patients. One-chemotherapy cycle decreased both the number of positive patients (p < 0.001) and their CTC number (p < 0.001), irrespectively of their phenotype and the detection method. The incidence and number of the different CTC subpopulations on PD, was significantly increased at their baseline levels. Multivariate analysis revealed that the increased number of CTCs at baseline and on PD were significantly associated with decreased PFS (p = 0.048) and OS (p = 0.041), respectively. There is an important CTC heterogeneity in such patients according to the expression of TTF-1 and CD56 which could detect EpCAM− CTC subpopulations and, thus, undetectable by CellSearch. These CTC subpopulations are dynamically correlated with treatment efficacy and disease-progression.
Introduction
Small Cell Lung Cancer (SCLC) is an aggressive disease that accounts for about 13% of lung cancer cases and almost two thirds of the patients present extensive-stage disease (ED-SCLC) at the time of presentation1,2. Front-line chemotherapy for ED-SCLC and chemo-radiotherapy for limited disease (LD-SCLC) are the standard recommended treatment which is associated with a high response rate; however, only 20–30% and 1–3% of patients with LD- and ED-SCLC, respectively, survive 5 years3,4.
The high metastatic potential of the disease is due to the dissemination of tumor cells through the hematogenous and/or the lymphatic vasculature. The detection of tumor cells in the peripheral blood (circulating tumor cells; CTCs) and bone marrow aspirates (disseminated tumor cells; DTCs) has been described in cancer patients5,6,7,8,9,10,11 and has been shown to be associated with shorter progression free (PFS) and overall (OS) survival in various tumor types, including SCLC12,13,14,15,16,17,18,19,20. In SCLC patients, the detection of CTCs before the initiation of systemic treatment as well as post-treatment and at the time of clinical relapse has been shown to be associated with a worse overall survival15,17,18,19,20. Moreover, Hou et al.15, using the cell size and filtration (ISET) platform, described the presence of circulating tumor microemboli (CTM) which were also associated with unfavorable clinical outcome. More importantly, they reported that a substantial proportion of the solitary CTCs but none of the CTCs comprising to CTMs were apoptotic15.
SCLC cells are characterized by the expression of various neuroendocrine peptides, such as CD56 (NCAM), chromogranin A (CgA) and synaptophysin21,22,23. In addition, TTF-1, which can be detected in different histologic subtypes of lung carcinomas24,25,26,27, is also expressed in almost 85–90% of SCLC tumor cells22; moreover, CD56 (NCAM), a cell surface sialoglycoprotein, is specifically expressed in neuroendocrine tissues and tumors, including SCLC28,29. TTF-1 is a transcription protein of the Nkx-2 gene family and regulates the early human development, cell growth and morphogenesis of thyroid, lung and restricted areas of diencephalon30.
The investigation of the phenotype of CTCs is an interesting topic since accumulating evidence points to functional heterogeneity within the CTC compartment with possible clinical implications. Indeed, it has been previously reported that CTCs in SCLC patients are heterogeneous based on their apoptotic and proliferative phenotype15. An important problem concerning the investigation of CTCs is related to the used detection methods. Indeed, the clinically validated CellSearch (CS) platform is based on the immunomagnetic capture of EpCAM-positive CTCs which, subsequently, are stained with an anti-pancytokeratin antibody and DAPI; however, since CTCs undergoing Epithelial-Mesenchymal-Transition (EMT) down-modulate the epithelial markers, including EpCAM, it is obvious that CS fails to capture EpCAM-negative CTCs. Therefore, it is interesting to further evaluate the heterogeneity of CTCs in patients with SCLC using known and well established markers, such as TTF-1 and CD56 which are expressed on neuroendoctrine tumor cells. In addition, the presence of CD56- and/or TTF-1-positive CTCs could offer the opportunity to detect CTCs which are undetectable by CS. The aim of the present study was to investigate the phenotypic heterogeneity of CTCs in SCLC patients using the TTF-1 and CD56 neuroendocrine markers.
Patients and Methods
Patient samples and cytospin preparations
Peripheral blood (20 ml in EDTA and 7.5 ml in CellSearch Save preservative tubes; Raritan, NJ, USA) was obtained from newly-diagnosed patients with SCLC before the initiation of systemic treatment (n = 108), after the administration of one chemotherapy cycle (n = 76) and at the time of disease progression (PD; n = 48). All blood samples were obtained at the middle-of-vein puncture after the first 5 ml were discarded to avoid contamination with epithelial cells from the skin. All patients had histologically confirmed SCLC. Patients with ED-SCLC received up to 6-cycles of etoposide/cisplatin while patients with LD-SCLC were treated with concurrent etoposide/cisplatin and radiotherapy. The study has been approved by the Ethics and Scientific Committees of the University General Hospital of Heraklion and all patients signed a written informed consent. All methods were performed in accordance with the relevant guidelines and regulations.
Peripheral blood mononuclear cells (PBMCs) were isolated by Ficoll–Hypaque density gradient (d = 1,077 g/ml; Sigma-Aldrich, GmbH, Germany) centrifugation at 1,800 rpm for 30 min. Centrifugation and cytospins were prepared as previously described31,32. In brief, aliquots of 5 × 105 PBMCs were cyto-centrifuged at 2,000 rpm for 2 min on glass microscope slides. Cytospins were air dried and stored at −80 °C until use. Two slides (10 × 105 PBMCs) from each patient were analyzed at each time point.
Detection of CTCs using the CS platform
For the enumeration of CTCs, peripheral blood samples maintained at ambient temperature and processed within 72 h using the CS platform (Veridex LCC, Raritan, NJ) according to the manufacturer’s instructions. CTC morphology was confirmed in all cases and analysis was performed with the CellTracks Analyser II by experienced biologists (E.P and S.A.). Results are expressed as number of CTCs/7.5 ml blood.
Double Immunofluorescence Assay (IF)
TTF-1 and/or CD56 were detected by double IF staining using monoclonal antibodies either against TTF-1 (DAKO, Agilent Technologies, Denmark) or CD56 (NCAM) (Thermo Fisher Scientific, Fremont, CA, USA) and anti-CD45 (Common Leukocyte Antigen; Santa Cruz, CA, USA) as previously described33. Moreover, cytospins were double stained with the mouse anti-TTF-1 or anti-A45-B/B3 (anti-cytokeratins 8, 18, and 19; Micromet, Munich, Germany) and the mouse anti-EpCAM (Acris Antibodies GmbH, Germany) antibodies. In brief, the incubation period for all primary and secondary antibodies was 1 h. Zenon technology (FITC-conjugated IGg1 antibody; Molecular Probes, Invitrogen, CA, USA) was used for the TTF-1 and A45-B/B5 detection. CD56 was labelled with Alexa 555 or Alexa 488 (Molecular Probes); EpCAM and CD45 were labelled with Alexa 555. The omission of the first antibodies has been used as negative controls. DAPI-antifade (Molecular Probes) was added to each sample for nuclear staining. Slides were analyzed using a fluorescence microscope (Leica DM 2500, Heidelberg, Germany). Results are expressed as number of CTCs/106 PBMCs.
Cell Line
The human SCLC cell line, H209 (ATCC® HTB-172) was obtained from the American Type Culture Collection (Manassas, VA, USA) and used as positive control in IF experiments. H209 cells were cultured in RPMI 1640 (Gibco-BRL Life Technologies, Grand Island, NY), supplemented with 10% fetal bovine serum (Gibco-BRL), 2 mM L-glutamine (Gibco-BRL), 10 mMHepes (Gibco-BRL), 1 mM sodium pyruvate (Gibco-BRL), 1.5 g/L NaHCO3 (Sigma-Aldrich), 4.5 g/L glucose (Sigma-Aldrich) and 50 mg/ml penicillin/streptomycin (Gibco-BRL). Cells were maintained in a humidified atmosphere of 5% CO2, at 37 °C. To determine the sensitivity of the method, H209 cells were spiked in peripheral blood obtained from healthy individuals, and the PBMCs and the corresponding, obtained after Ficoll-Hypaque density centrifugation, and cytospins were prepared as above. All experiments were performed during the logarithmic growth phase of the cell line.
Study design and statistics
This is a prospective, single institution study, investigating the expression of CD56 and TTF-1 in CTCs from consecutive patients with SCLC. There was no specific statistical design since the aims of the study were to characterize the heterogeneity of CTCs and to define the presence of phenotypically different subpopulations of CTCs during front-line treatment. The evaluation of CTCs was done blindly to clinical data. PFS was calculated for all patients from the date of the first treatment administration until treatment discontinuation due to disease progression or death. OS was calculated for all patients from enrolment in the study to the date of death due to any cause. The association of risk factors with PFS and OS was analyzed using the log rank test and the Kaplan–Meier method. Univariate and multivariate Cox proportional hazards regression models with hazard ratios (HR) and 95% CIs were used to evaluate the predictive and prognostic relevance of the CTCs. Statistical significance was set at p = 0.05. Statistical analysis was performed using the SPSS v. 20 software (IBM Corp. Armonk, NY, USA).
Results
CD56 and TTF-1 expression in H209 cells and PBMCs of healthy individuals
Immunofluorescent staining (IF) revealed that 85% ± 5%, 85% ± 15% and 68% ± 5% /106 H209 cells were TTF-1+, CD56+ and TTF-1+/CD56+, respectively (mean +/−SD values from 5 experiments) (Supplementary Table S1). Spiking experiments with 1–1000 H209 cells/106 PBMCs from blood donors demonstrated that IF could detect up to 1 H209 cell/106 PBMCs. Control experiments performed in 26 healthy blood donors revealed that 15 ± 4%/106 PBMCs were CD56+ but all of them were also CD45+. Conversely, no TTF-1+/CD45−, TTF-1+/CD45+ or TTF-1+/CD56+ cells could be detected in normal PBMCs (data not shown).
Patients’ characteristics
From 11/2010 to 05/2015, 108 consecutive patients with SCLC were enrolled in the study. The patients’ characteristics are listed in Table 1. The median age was 66 years, 91 (84.3%) patients were males, 63 (58.3%) had PS (ECOG) 0–1, and 71 (65.7%) had ED-SCLC. Moreover, 79 (73.1%) patients had lactate dehydrogenase (LDH) serum levels above the upper normal limit, 12 (11.1%) had brain, 40 (37.0%) liver and 32 (29.6%) bone metastases at the time of diagnosis. Thirty eight (35.2%) patients received concurrent chemo-radiotherapy for LD-SCLC and 77 (71.3%) achieved an objective response (CR/PR) (Table 1). Eighty-three (76.9%) patients were evaluable for CTC enumeration using the CS before treatment initiation whereas in 25 patients, the failure to enumerate CTCs at baseline was due to various reasons (Supplementary Figure S1). CTCs (≥5 CTCs/7.5 ml) could be detected in 50 (60.2%) patients with a median number of 14 CTCs/7.5 ml of blood (range, 0–10.000) (Table 2). The detection of CTCs was correlated with patients’ PS (p = 0.001), disease stage (p < 0.001), concurrent chemo-radiotherapy in LD-SCLC (p < 0.001), LDH levels (p = 0.001), liver or bone metastases (p < 0.001) and response to treatment (p = 0.034) (Table 1).
Detection of TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs before treatment initiation
At baseline, IF demonstrated the presence of TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ (Fig. 1). Sixty-six (61.1%) patients had TTF-1+/CD45− CTCs, whilst 55 (50.9%) and 46 (42.6%) had CD56+/CD45− and TTF-1+/CD56+ CTCs; 37 (34.3%) patients had undetectable CTCs by IF (Table 2 and Fig. 2). There was a significant association between the detection of the different subpopulations of CTCs and the presence of liver (TTF-1+/CD45−, p = 0.027; CD56+/CD45−, p = 0.036) or bone (TTF-1+/CD45−, p = 0.041; TTF-1+/CD56+, p = 0.006) metastases (Table 1). The median number of TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs was 3/106 PBMCs (range, 0–169), 1/106 PBMCs (range, 0–940) and, 0/106 PBMCs (range, 0–75), respectively (Table 2).
Thirty-five (70.0%), 27 (54.0%) and 25 (50.0%) out of 50 patients with detectable (≥5 CTCs/7.5 ml) CTCs at baseline by CS, had also detectable TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs, respectively. There was a significant correlation between the detection of CTCs by CS at baseline and the TTF-1+/CD45− (p = 0.03) and TTF-1+/CD56+ (p = 0.049) but not the CD56+/CD45− subpopulations (Table 3). TTF-1+/CD45−, CD56+/CD45− and TTF-1+CD56+ CTCs could also be detected in patients with <5 CTCs/7.5 ml of blood (Table 3).
Detection of TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs after one chemotherapy cycle and at relapse
In 76 (70.4%) patients, a second blood sample was obtained after the first treatment cycle. As shown in Fig. 2, the number of patients with detectable CTCs was significantly decreased compared to the corresponding baseline values. TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ cells were detected in 30 (44.1%), 22 (32.4%) and 19 (27.9%) patients, respectively by IF whereas ≥5 CTCs/7.5 ml of blood was detected in 16 (29.1%) patients. Chemotherapy also resulted in a significant decrease of the number of TTF-1+/CD45− (p < 0.001), CD56+/CD45− (p < 0.001) and TTF-1+/CD56+ (p < 0.001) cells, respectively, as well as of CTCs detected by CS (p < 0.001), compared to baseline values (Table 2). TTF-1+/CD45−, CD56+/CD45− or TTF-1+/CD56+ CTCs could be detected by IF both in patients with ≥5 CTCs/7.5 ml of blood and in patients with <5 CTCs/7.5 ml of blood (Table 3). Figure 2 also indicates that the number of patients with detectable CTCs by IF (TTF-1+/CD45−, CD56+/CD45−,TTF-1+/CD56+) or by CS, was significantly increased on PD compared to that after one treatment cycle. Moreover, the median number of TTF-1+/CD45−, CD56+/CD45−, and TTF-1+/CD56+ CTCs was significantly increased on PD (Table 2) both in the group of patients with ≥5 CTCs/7.5 ml of blood and <5 CTCs/7.5 ml of blood (Table 3).
Detection of CTC subpopulations in patients without detectable CTCs by CS
In 22 patients no CTCs could be detected by CS (0 CTCs/7.5 ml of blood) (Table 3). However, IF revealed the presence of TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs in eight (36.4%), six (27.3%) and six (27.3%) patients, respectively (Table 3). Table 4 demonstrates that in 6 out of 8 patients with detectable CTCs by IF but not by CS, all the subpopulations of CTCs were present; in addition, IF revealed that these patients did not have detectable TTF-1+/EpCAM+ or CK+/EpCAM+ CTCs. Ιn addition, no CK+/EpCAM+ CTCs could be detected in the remaining 14 patients without detectable CTCs by CS (data not shown). Similarly, the phenotypically different CTC subpopulations could be detected in patients without detectable CTCs both after one treatment cycle and on PD (Table 3).
Detection of CTC subpopulations and clinical outcome
Clinical relapse was observed in 89 (82.4%) patients. The incidence of detection of a high number of CTCs by CS both at baseline and after one treatment cycle was higher in the group of patients who experienced a PD compared to patients with no PD (54.2% vs 6.0%; p = 0.004 and 29% vs 0.0%; p = 0.022); however, using IF this difference could not reach any statistical significance (Supplementary Table S2).The median PFS for the whole group of patients was 6.8 months (95% CI: 6.2–7.5). In patients with and without detectable CTCs by CS at baseline, the median PFS was 6.0 and 7.9 (95% CI: 5.4–6.7 and 5.7–10.1) months, respectively (p = 0.001; Fig. 3a); the median PFS was also significantly shorter in patients with detectable CTCs after one chemotherapy cycle (p = 0.004; Fig. 3b; Supplementary Table S3). PFS could not reach any statistical significance according to the different CTC subpopulations either at baseline or after one treatment cycle. The median OS for the whole group of patients was 10.8 months (95% CI: 8.8–12.8). In patients with and without detectable CTCs by CS at baseline, the median OS was 8.4 and 21.7 (95% CI: 7.0–9.8 and 15.6–27.7) months, respectively (p < 0.001; Fig. 3c). In addition, the median OS was significantly different in patients with and without detectable CTCs either after one chemotherapy cycle (p = 0.004; Fig. 3d) or on PD (p = 0.021; Supplementary Table S3).
Univariate and Multivariate Analysis
Univariate analysis revealed that PS (ECOG), disease stage, LDH levels, organ metastases, response to treatment and increased number of CTCs at baseline and after one treatment cycle of were significantly associated with a shorter PFS (Supplementary Table S4). Multivariate analysis showed that increased number of CTCs at baseline could be emerged as independent factor associated with a reduced PFS (HR: 1.9, 95% CI: 0.9–3.9; p = 0.048) (Supplementary Table S4).
Similarly, PS (ECOG), disease stage, LDH levels, organ metastases, response to treatment and increased number of CTCs at baseline and at the time of PD were significantly associated with a shorter OS in univariate analysis (Supplementary Table S4). Again, in multivariate analysis only the increased number of CTCs at the time of PD could be emerged as independent prognostic factor associated with a decreased OS (HR: 2.1, 95% CI: 0.9–5.3; p = 0.041) (Supplementary Table S4).
Discussion
The prognostic value of CTCs has been previously reported by several investigators15,17. Indeed, Hou et al15. reported that CTCs were present in 85% of the patients before chemotherapy and their number (≥50 CTCs/7.5 ml of blood) was associated with a decreased median PFS and OS15. Similarly, Shi et al., using a molecular assay for the detection of CTCs, also demonstrated that CTCs detection represent a high risk for both reduced PFS and OS in patients with SCLC34.
The current study, demonstrates for the first time that CTCs from patients with newly diagnosed SCLC could be detected using the TTF-1 and CD56 molecules which are expressed in tumor cells of neuroendocrine origin since both TTF-1 and CD56 are expressed in 89–100%21,24,27,35 and in (90–99%)36, of SCLC cases, respectively. In addition, the detection of TTF-1+ and/or CD56+ CTCs clearly revealed the phenotypic heterogeneity of CTCs in patients with SCLC as well as their changes during the different clinical phases of the disease. Indeed, TTF-1+/CD45−, CD56+/CD45− and TTF-1+/CD56+ CTCs could be detected in patients before the initiation of any systemic treatment, after one-cycle and at the time of PD. However, in almost 10–15% of SCLC cases, no TTF-1 expression can be detected37,38,39, indicating the absence of these neuroendocrine markers in some CTC subpopulations. On the contrary, the detection of TTF-1+/CD56+ CTCs, which represent a minority among the whole population of CTCs since their number was less than that of TTF-1+ or CD56+, further supports the heterogeneity of CTCs in patients with SCLC. Indeed, previous studies have reported both inter- and intra-patient’s CTCs heterogeneity by using different methodologies and tumor types40,41,42,43. Whether this phenotype represents a specific step of the malignant cell’s differentiation or a particular genetic change is unknown.
The presented results also demonstrate that even one treatment cycle resulted to a significant decrease not only of the number of patients with ≥1 CTCs/106 PBMCs but also of their absolute number; conversely, on disease progression both the number of patients with detectable CTCs as well as the number of CTCs were significantly increased reaching, practically, their baseline levels. These dynamic changes were observed irrespectively of the phenotype of CTC subpopulation. It is interesting to note that in the majority of patients, chemotherapy could not completely eliminate the different CTC subpopulations suggesting that some of them are chemo-sensitive whereas others seem to be chemo-resistant. Similar findings have been observed in other tumor types44,45,46,47,48. Moreover, Hou et al. (2012) observed an increase in CTCs expressing the anti-apoptotic protein Bcl-2 after chemotherapy, thus pointing the usefulness of CTCs stratification and pharmacodynamic monitoring in trials15. Additionally, they found that the presence of apoptotic CTCs at baseline is significantly correlated with disease stage and number of metastatic sites15, whilst intra- and inter-patient heterogeneity was observed for EMT markers in both CTCs and circulating tumor microemboli (CTMs)49. Furthermore, the genetic heterogeneity has been documented by single cell genomic hybridization, on DTCs50. These observations further support both the phenotypic and molecular heterogeneity of CTCs/DTCs in SCLC patients51,52,53.
The presented results also demonstrated for the first time that in a subgroup of patients, CS failed to detect CTCs despite their detection by IF. This observation should be attributed to the finding that, in these particular patients, IF staining could not reveal the presence of either TTF-1+/EpCAM+ or CK+/EpCAM+ CTCs since CS recognizes CK+ CTCs which are, previously, captured by an anti-EpCAM antibody. It is well known that epithelial tumor cells migrating through the bloodstream undergo EMT which is characterized, among others, by a loss of expression of epithelial markers32,54,55; therefore, it is reasonable to hypothesize that, in this small subgroup of patients without detectable CTCs by CS, the TTF-1+/EpCAM− CTCs probably represent CTCs undergoing EMT. This is in accordance with studies reporting that the CTC detection rate was higher using EpCAM-independent enrichment methods56. Thus, a combination of both EpCAM- and non-EpCAM-based CTC technologies seems to be needed in order to better assess the presence of CTCs in patients with SCLC and to evaluate their biological and clinical relevance. It should be noted that new and promising methodologies have also been developed for the detection of CTCs based on nanoparticles57,58,59,60,61,62; however, these methods have serious limitations, such as the higher cost and the requirement of special equipment compared to the simple immunofluorescence staining.
Previous studies using the CS platform have shown that the detection of CTCs either before the initiation of systemic treatment or after one chemotherapy cycle is significantly associated with PFS and OS15,17. However, a recent study reported that although CTCs have a useful prognostic role at baseline, only the important reduction in the CTC number after one chemotherapy cycle significantly improved prognostic accuracy63. Our findings are in agreement with the above reports; however, there was no significant correlation between the different CTC subpopulation and the patients’ clinical outcome. There is no clear explanation for this observation; however, we cannot exclude that the expression of TTF-1 and CD56 molecules in CTCs are not related with the invasive potential or the aggressivity of tumor cells in contrast with the more epithelial EpCAM+/CK+ CTCs detected by CS. Alternatively, we cannot exclude that the used discrimination cut-off in order to characterize the positive samples could be related to this observation; it should be noted that Hou et al.15, used as cut-off the 50 CTC/7.5 ml of blood for their analysis.
In conclusion, the current study demonstrated an important phenotypic heterogeneity of CTCs in patients with SCLC and the different subpopulations of CTCs could be used as potential dynamic biomarkers during the different clinical phases of the disease. Subsequent studies should evaluate the biological relevance of these phenotypically different subpopulations of CTCs and, especially, of EpCAM-negative CTCs as well as whether their specific molecular and/or genetic profile could provide information towards a more individualized treatment.
Additional Information
How to cite this article: Messaritakis, I. et al. TTF-1- and/or CD56-positive Circulating Tumor Cells in patients with small cell lung cancer (SCLC). Sci. Rep. 7, 45351; doi: 10.1038/srep45351 (2017).
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
Govindan, R. et al. Changing epidemiology of small-cell lung cancer in the United States over the last 30 years: analysis of the surveillance, epidemiologic, and end results database. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 24, 4539–4544, doi: 10.1200/JCO.2005.04.4859 (2006).
American Cancer Society. Cancer Facts and Figures. Retrieved from http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2009/index (2009).
Takada, M. et al. Phase III study of concurrent versus sequential thoracic radiotherapy in combination with cisplatin and etoposide for limited-stage small-cell lung cancer: results of the Japan Clinical Oncology Group Study 9104. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 20, 3054–3060 (2002).
Turrisi, A. T. 3rd et al. Twice-daily compared with once-daily thoracic radiotherapy in limited small-cell lung cancer treated concurrently with cisplatin and etoposide. The New England journal of medicine 340, 265–271, doi: 10.1056/NEJM199901283400403 (1999).
Toss, A., Mu, Z., Fernandez, S. & Cristofanilli, M. CTC enumeration and characterization: moving toward personalized medicine. Ann Transl Med 2, 108, doi: 10.3978/j.issn.2305-5839.2014.09.06 (2014).
Cabinakova, M. et al. Predictive factors for the presence of tumor cells in bone marrow and peripheral blood in breast cancer patients. Neoplasma 62, 259–268, doi: 10.4149/neo_2015_031 (2015).
Daskalaki, A. et al. Detection of cytokeratin-19 mRNA-positive cells in the peripheral blood and bone marrow of patients with operable breast cancer. Br J Cancer 101, 589–597, doi: 10.1038/sj.bjc.6605183 (2009).
Grobe, A. et al. Prognostic relevance of circulating tumor cells in blood and disseminated tumor cells in bone marrow of patients with squamous cell carcinoma of the oral cavity. Clin Cancer Res 20, 425–433, doi: 10.1158/1078-0432.CCR-13-1101 (2014).
Hartkopf, A. D. et al. Tumor cell dissemination to the bone marrow and blood is associated with poor outcome in patients with metastatic breast cancer. Breast Cancer Res Treat 147, 345–351, doi: 10.1007/s10549-014-3113-5 (2014).
Kruck, S., Gakis, G. & Stenzl, A. Circulating and disseminated tumor cells in the management of advanced prostate cancer. Adv Urol 2012, 135281, doi: 10.1155/2012/135281 (2012).
Lin, H., Balic, M., Zheng, S., Datar, R. & Cote, R. J. Disseminated and circulating tumor cells: Role in effective cancer management. Crit Rev Oncol Hematol 77, 1–11, doi: 10.1016/j.critrevonc.2010.04.008 (2011).
Cohen, S. J. et al. Isolation and characterization of circulating tumor cells in patients with metastatic colorectal cancer. Clin Colorectal Cancer 6, 125–132, doi: 10.3816/CCC.2006.n.029 (2006).
Cristofanilli, M. et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. The New England journal of medicine 351, 781–791, doi: 10.1056/NEJMoa040766 (2004).
Androulakis, N. et al. Clinical relevance of circulating CK-19mRNA-positive tumour cells before front-line treatment in patients with metastatic breast cancer. Br J Cancer 106, 1917–1925, doi: 10.1038/bjc.2012.202 (2012).
Hou, J. M. et al. Clinical significance and molecular characteristics of circulating tumor cells and circulating tumor microemboli in patients with small-cell lung cancer. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 30, 525–532, doi: 10.1200/JCO.2010.33.3716 (2012).
Okegawa, T., Nutahara, K. & Higashihara, E. Prognostic significance of circulating tumor cells in patients with hormone refractory prostate cancer. J Urol 181, 1091–1097, doi: 10.1016/j.juro.2008.11.015 (2009).
Naito, T. et al. Prognostic impact of circulating tumor cells in patients with small cell lung cancer. J Thorac Oncol 7, 512–519, doi: 10.1097/JTO.0b013e31823f125d (2012).
Hiltermann, T. J. et al. Circulating tumor cells in small-cell lung cancer: a predictive and prognostic factor. Ann Oncol 23, 2937–2942, doi: 10.1093/annonc/mds138 (2012).
Huang, C. H. et al. A multicenter pilot study examining the role of circulating tumor cells as a blood-based tumor marker in patients with extensive small-cell lung cancer. Front Oncol 4, 271, doi: 10.3389/fonc.2014.00271 (2014).
Igawa, S. et al. Circulating tumor cells as a prognostic factor in patients with small cell lung cancer. Oncol Lett 7, 1469–1473, doi: 10.3892/ol.2014.1940 (2014).
Folpe, A. L. et al. Thyroid transcription factor-1: immunohistochemical evaluation in pulmonary neuroendocrine tumors. Mod Pathol 12, 5–8 (1999).
Ordonez, N. G. Value of thyroid transcription factor-1, E-cadherin, BG8, WT1, and CD44S immunostaining in distinguishing epithelial pleural mesothelioma from pulmonary and nonpulmonary adenocarcinoma. Am J Surg Pathol 24, 598–606 (2000).
Travis, W. D. Advances in neuroendocrine lung tumors. Ann Oncol 21 Suppl 7, vii65–71, doi: 10.1093/annonc/mdq380 (2010).
Di Loreto, C. et al. Immunocytochemical expression of tissue specific transcription factor-1 in lung carcinoma. J Clin Pathol 50, 30–32 (1997).
Haque, A. K., Syed, S., Lele, S. M., Freeman, D. H. & Adegboyega, P. A. Immunohistochemical study of thyroid transcription factor-1 and HER2/neu in non-small cell lung cancer: strong thyroid transcription factor-1 expression predicts better survival. Appl Immunohistochem Mol Morphol 10, 103–109 (2002).
Yatabe, Y., Mitsudomi, T. & Takahashi, T. TTF-1 expression in pulmonary adenocarcinomas. Am J Surg Pathol 26, 767–773 (2002).
Zamecnik, J. & Kodet, R. Value of thyroid transcription factor-1 and surfactant apoprotein A in the differential diagnosis of pulmonary carcinomas: a study of 109 cases. Virchows Arch 440, 353–361, doi: 10.1007/s00428-001-0552-2 (2002).
Kaufmann, O., Georgi, T. & Dietel, M. Utility of 123C3 monoclonal antibody against CD56 (NCAM) for the diagnosis of small cell carcinomas on paraffin sections. Hum Pathol 28, 1373–1378 (1997).
Kibbelaar, R. E. et al. Neural cell adhesion molecule expression, neuroendocrine differentiation and prognosis in lung carcinoma. Eur J Cancer 27, 431–435 (1991).
Lazzaro, D., Price, M., de Felice, M. & Di Lauro, R. The transcription factor TTF-1 is expressed at the onset of thyroid and lung morphogenesis and in restricted regions of the foetal brain. Development 113, 1093–1104 (1991).
Kallergi, G. et al. Epithelial to mesenchymal transition markers expressed in circulating tumour cells of early and metastatic breast cancer patients. Breast Cancer Res 13, R59, doi: 10.1186/bcr2896 (2011).
Papadaki, M. A. et al. Co-expression of putative stemness and epithelial-to-mesenchymal transition markers on single circulating tumour cells from patients with early and metastatic breast cancer. BMC Cancer 14, 651, doi: 10.1186/1471-2407-14-651 (2014).
Kallergi, G. et al. Apoptotic circulating tumor cells in early and metastatic breast cancer patients. Mol Cancer Ther 12, 1886–1895, doi: 10.1158/1535-7163.MCT-12-1167 (2013).
Shi, W. L. et al. CK-19 mRNA-positive cells in peripheral blood predict treatment efficacy and survival in small-cell lung cancer patients. Med Oncol 30, 755, doi: 10.1007/s12032-013-0755-9 (2013).
Fabbro, D. et al. TTF-1 gene expression in human lung tumours. Eur J Cancer 32A, 512–517 (1996).
Yun, J. P., Xiang, J., Hou, J. H., Tian, Q. H. & Fu, J. [Expression of CD56, as a potential diagnostic marker, in small cell carcinoma]. Ai Zheng 24, 1140–1143 (2005).
Kargi, A., Gurel, D. & Tuna, B. The diagnostic value of TTF-1, CK 5/6, and p63 immunostaining in classification of lung carcinomas. Appl Immunohistochem Mol Morphol 15, 415–420, doi: 10.1097/PAI.0b013e31802fab75 (2007).
Hiroshima, K. et al. Distinction of pulmonary large cell neuroendocrine carcinoma from small cell lung carcinoma: a morphological, immunohistochemical, and molecular analysis. Mod Pathol 19, 1358–1368, doi: 10.1038/modpathol.3800659 (2006).
Myong, N. H. Thyroid transcription factor-1 (TTF-1) expression in human lung carcinomas: its prognostic implication and relationship with wxpressions of p53 and Ki-67 proteins. J Korean Med Sci 18, 494–500, doi: 10.3346/jkms.2003.18.4.494 (2003).
Plaks, V., Koopman, C. D. & Werb, Z. Cancer. Circulating tumor cells. Science 341, 1186–1188, doi: 10.1126/science.1235226 (2013).
Stott, S. L. et al. Isolation and characterization of circulating tumor cells from patients with localized and metastatic prostate cancer. Sci Transl Med 2, 25ra23, doi: 10.1126/scitranslmed.3000403 (2010).
Yu, M. et al. Circulating breast tumor cells exhibit dynamic changes in epithelial and mesenchymal composition. Science 339, 580–584, doi: 10.1126/science.1228522 (2013).
Xie, J. et al. Ex vivo and in vivo capture and deactivation of circulating tumor cells by dual-antibody-coated nanomaterials. J Control Release 209, 159–169, doi: 10.1016/j.jconrel.2015.04.036 (2015).
Georgoulias, V. et al. Trastuzumab decreases the incidence of clinical relapses in patients with early breast cancer presenting chemotherapy-resistant CK-19mRNA-positive circulating tumor cells: results of a randomized phase II study. Ann Oncol 23, 1744–1750, doi: 10.1093/annonc/mds020 (2012).
Saloustros, E. et al. Cytokeratin-19 mRNA-positive circulating tumor cells during follow-up of patients with operable breast cancer: prognostic relevance for late relapse. Breast Cancer Res 13, R60, doi: 10.1186/bcr2897 (2011).
Xenidis, N. et al. Cytokeratin-19 mRNA-positive circulating tumor cells after adjuvant chemotherapy in patients with early breast cancer. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 27, 2177–2184, doi: 10.1200/JCO.2008.18.0497 (2009).
Xenidis, N. et al. Differential effect of adjuvant taxane-based and taxane-free chemotherapy regimens on the CK-19 mRNA-positive circulating tumour cells in patients with early breast cancer. Br J Cancer 108, 549–556, doi: 10.1038/bjc.2012.597 (2013).
Xenidis, N. et al. Peripheral blood circulating cytokeratin-19 mRNA-positive cells after the completion of adjuvant chemotherapy in patients with operable breast cancer. Ann Oncol 14, 849–855 (2003).
Hou, J. M. et al. Circulating tumor cells as a window on metastasis biology in lung cancer. Am J Pathol 178, 989–996, doi: 10.1016/j.ajpath.2010.12.003 (2011).
Klein, C. A. et al. Genetic heterogeneity of single disseminated tumour cells in minimal residual cancer. Lancet 360, 683–689, doi: 10.1016/S0140-6736(02)09838-0 (2002).
Kallergi, G., Mavroudis, D., Georgoulias, V. & Stournaras, C. Phosphorylation of FAK, PI-3K, and impaired actin organization in CK-positive micrometastatic breast cancer cells. Mol Med 13, 79–88, doi: 10.2119/2006-00083.Kallergi (2007).
Pantel, K. et al. Establishment of micrometastatic carcinoma cell lines: a novel source of tumor cell vaccines. J Natl Cancer Inst 87, 1162–1168 (1995).
Pierga, J. Y. et al. Clinical significance of proliferative potential of occult metastatic cells in bone marrow of patients with breast cancer. Br J Cancer 89, 539–545, doi: 10.1038/sj.bjc.6601121 (2003).
Polioudaki, H. et al. Variable expression levels of keratin and vimentin reveal differential EMT status of circulating tumor cells and correlation with clinical characteristics and outcome of patients with metastatic breast cancer. BMC Cancer 15, 399, doi: 10.1186/s12885-015-1386-7 (2015).
Krawczyk, N. et al. Expression of stem cell and epithelial-mesenchymal transition markers in circulating tumor cells of breast cancer patients. Biomed Res Int 2014, 415721, doi: 10.1155/2014/415721 (2014).
Hanssen, A., Loges, S., Pantel, K. & Wikman, H. Detection of Circulating Tumor Cells in Non-Small Cell Lung Cancer. Front Oncol 5, 207, doi: 10.3389/fonc.2015.00207 (2015).
Li, X. et al. Simultaneous detection of MCF-7 and HepG2 cells in blood by ICP-MS with gold nanoparticles and quantum dots as elemental tags. Biosens Bioelectron 90, 343–348, doi: 10.1016/j.bios.2016.11.030 (2017).
Hong, W., Lee, S., Chang, H. J., Lee, E. S. & Cho, Y. Multifunctional magnetic nanowires: A novel breakthrough for ultrasensitive detection and isolation of rare cancer cells from non-metastatic early breast cancer patients using small volumes of blood. Biomaterials 106, 78–86, doi: 10.1016/j.biomaterials.2016.08.020 (2016).
Bhana, S., Wang, Y. & Huang, X. Nanotechnology for enrichment and detection of circulating tumor cells. Nanomedicine (Lond) 10, 1973–1990, doi: 10.2217/nnm.15.32 (2015).
Wen, C. Y. et al. Quick-response magnetic nanospheres for rapid, efficient capture and sensitive detection of circulating tumor cells. ACS Nano 8, 941–949, doi: 10.1021/nn405744f (2014).
Kim, J. H. et al. One-step detection of circulating tumor cells in ovarian cancer using enhanced fluorescent silica nanoparticles. Int J Nanomedicine 8, 2247–2257, doi: 10.2147/IJN.S45059 (2013).
Wang, X. et al. Detection of circulating tumor cells in human peripheral blood using surface-enhanced Raman scattering nanoparticles. Cancer Res 71, 1526–1532, doi: 10.1158/0008-5472.CAN-10-3069 (2011).
Normanno, N. et al. Prognostic value of circulating tumor cells’ reduction in patients with extensive small-cell lung cancer. Lung Cancer 85, 314–319, doi: 10.1016/j.lungcan.2014.05.002 (2014).
Acknowledgements
We acknowledge the support of Cretan Association for Biomedical Research (CABR), the Hellenic Society of Medical Oncology (HeSMO) and the Hellenic Oncology Research Group (HORG) in implementation of this study. We would like to sincerely thank the scientific secretary Vasso Athanasaki for her attentive assistance with formatting the manuscript. This work was partly supported by research grants from the Cretan Association for Biomedical Research (CABR), the Hellenic Society of Medical Oncology (HeSMO) and the Hellenic Oncology Research Group (HORG).
Author information
Authors and Affiliations
Contributions
V.G., I.M., A. Kotsakis, J.S. study concept and design, writing, review, and/or revision of the manuscript and study supervision, V.G., I.M. development of methodology, I.M., E.L., A. Koutsopoulos analysis and interpretation of data D.S., E.K.D., F.K. administrative, technical and material support, V.G., A. Kotsakis, J.S. enrolment of patients, V.G., A. Kotsakis, E.P., S.A., J.S., I.M. data acquisition.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Supplementary information
Rights and permissions
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
About this article
Cite this article
Messaritakis, I., Stoltidis, D., Kotsakis, A. et al. TTF-1- and/or CD56-positive Circulating Tumor Cells in patients with small cell lung cancer (SCLC). Sci Rep 7, 45351 (2017). https://doi.org/10.1038/srep45351
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/srep45351
This article is cited by
-
Genomic characteristics and clinical significance of CD56+ circulating tumor cells in small cell lung cancer
Scientific Reports (2023)
-
Molecular features and evolutionary trajectory of ASCL1+ and NEUROD1+ SCLC cells
British Journal of Cancer (2023)
-
RETRACTED ARTICLE: Downregulation of microRNA-324-3p inhibits lung cancer by blocking the NCAM1-MAPK axis through ALX4
Cancer Gene Therapy (2021)
-
Dynamic changes of phenotypically different circulating tumor cells sub-populations in patients with recurrent/refractory small cell lung cancer treated with pazopanib
Scientific Reports (2018)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.