Abstract
Background
Synovial sarcoma is a rare soft tissue tumor which contains the unique SS18-SSX1, SS18-SSX2 – or, rarely, SS18-SSX4 - fusion transcripts. It is well known that some soft tissue tumors, like Ewing sarcomas and myxoid liposarcomas, can spread via the blood with free circulating tumor cells (CTC); this can be detected by several sensitive molecular biology methods. Here we report a study of fifteen synovial sarcoma patients with varied clinical backgrounds.
Method
After blood withdrawal and nucleic acid isolation, we attempted to detect the SS18-SSX fusion genes from circulating tumor cells or cell-free nucleic acids with nested PCR and droplet digital PCR.
Results
SS18-SSX2 fusion transcript was identified in a small copy number with droplet digital PCR in one case. Nested PCR could not detect any of the fusion transcripts in the examined 15 synovial sarcoma cases.
Conclusions
Heretofore two case reports could detect CTCs in synovial sarcoma - in the first paper, the patient was diagnosed with poorly differentiated type while the other had a rare primary gastric synovial sarcoma. However, until now, no other studies have detected CTCs in the peripheral blood of synovial sarcoma patients. Based on our findings, we can conclude that detection of the chimeric SS18-SSX fusion gene after surgical excision and/or chemotherapy/radiotherapy is a rare circumstance and hence in itself is not sufficient for monitoring the tumor recurrence. Therefore, monitoring of other possible biomarkers - for example synovial sarcoma specific miRNAs - is recommended.
Keywords: Liquid biopsy, Synovial sarcoma, SS18-SSX fusion transcript, Droplet digital PCR, Nested PCR
Background
Synovial sarcoma (SS) constitutes the third most common malignant soft-tissue tumor group and usually affects teenagers and young adults [1, 2]. Despite the combined therapeutic effort (chemotherapy and/or radiotherapy and surgical excision), the recurrence of the tumor and metastasizing ability is high [3]. The characteristic and specific translocation t(X;18((p11.2q11.2)) of human SS causes the fusion of the SS18 (also known as SYT) gene on chromosome 18 to SSX1, SSX2 or, rarely, SSX4 on chromosome X at Xp11.2, and contributes to the formation of SS18-SSX fusion transcripts, regardless of histologic subtype [4–7]. The function of the SS18-SSX chimeric protein and its relationship to tumor development remains unknown, as does the mechanism through which the translocation occurs [8]. The presence of the SS18-SSX fusion transcripts facilitates the specific and sensitive diagnosis of SS using either conventional RT-PCR, qRT-PCR or dual color FISH as diagnostic tools in fresh tumors or paraffin-embedded tissues [9]. The sensitivity of FISH and RT-PCR is more than 90% for the diagnosis of SS [10]. It seems according to a recent paper that the sensitivity of the different PCR methods (such as qPCR, nested PCR and droplet digital PCR) varies throughout different studies, being most probably dependent on the assay design and PCR product size [11].
Circulating tumor cells (CTCs) can be detected from the peripheral blood and, in theory, show the potential to extravasate and create tumor metastases. Detection of CTCs has been examined across a wide spectrum of tumor types, but most commonly in carcinomas of the breast, lung and colon, as well as in melanoma [12]. Liquid biopsy, as a less invasive and easily performable method of sample collection is nowadays a popular diagnostic tool of tumor detection and follow-up via the detection of CTCs and cell free nucleic acids, like cell free DNA (cfDNA) and cell free RNA (cfRNA) [13]. In contrast to carcinomas, few studies have investigated the identification of CTCs in sarcomas [14]. Among mesenchymal tumors, CTCs have been for the most part well-studied in Ewing’s sarcoma/peripheral neuroectodermal tumor (EWS/PNET) [15–18]. Regarding CTCs in SS, less data is available where investigators have identified the fusion gene product from the peripheral blood of affected patients. Hashimoto el al. [19] analyzed serial blood samples of a poorly differentiated SS patient before and after treatment, and CTCs with SYT-SSX fusion gene were found in the peripheral blood before, but not after, surgical resection of the primary tumor and the first cycle of chemotherapy. The in vitro study of Fricke et al. [11] revealed the SYT-SSX fusion gene transcript in both SS cells and microvesicles. However, the fusion gene transcript was not detected in peripheral blood cells and microvesicles of SS. Therefore, it is imperative to reveal the accidental genometastasis formation of SS in order to understand the tumor biology of synovial sarcomagenesis and to find new potential diagnostic markers. Thus, the aim of this study was to further examine and validate CTC detection in SS as a tool for prognostication or patient surveillance.
Methods
Patient selection
We collected 15 cases of SS diagnosed at Semmelweis University, Budapest, between 2009 and 2015. Beside the characteristic histology and immunophenotype of SS (cytokeratin, epithelial membrane antigen (EMA), Bcl2, TLE-1, SYT, β-catenin, vimentin, cyclin D1, CD117, SMARCB1), the translocation of SS18 and SSX1 or SSX2 fusion genes confirmed by FISH with SS18/SSX TriCheck™ Probe (ZytoVision, Bremerhaven, Germany) verified the diagnosis of SS in the 15 selected cases. Clinical data were gathered from the database of Semmelweis University, and treatment protocols were collected from the Department of Oncology at Military Hospital, Budapest, retrospectively. Signed informed consent was obtained from all participants, allowing analysis of tumor tissue, clinical data, and blood samples, and the study was conducted with the approval of the Semmelweis University Regional and Institutional Committee of Science and Research Ethics and according to the Declaration of Helsinki.
Sample collection and RNA isolation
A 10 ml peripheral blood sample was collected in heparinized tubes from each of the patients diagnosed with SS. The clinical data of the patients can be found in Table 1. The blood withdrawal was carried out about six months after surgical treatment and/or chemotherapy or radiotherapy. At the time of blood sample collection, 7 patients had multiplex metastases, 4 had metastases, 3 had metastases and recurrences, 2 had recurrences only and in 3 cases, there was no metastasis nor recurrence; in this way, the selected cohort represented cases involved in practically all clinical stages (Table 1). Total RNA of the collected (10 ml) of peripheral blood samples was isolated with TRIzol® Reagent (Invitrogen by Thermo Fisher Scientific, Rockford, IL, USA) according to the manufacturer’s protocol. An SS18-SSX1-carrying human immortalized adipose derived mesenchymal stem-cell line (SS-iASC) [20] and two formalin-fixed paraffin-embedded (FFPE) SS tissue samples were used as positive controls. SS-iASC was cultured in 25 cm2 tissue culture flasks for 48–72 h, then total RNA was isolated using the PureLink RNA Mini Kit (Invitrogen by Thermo Fisher Scientific) according to the manufacturer’s protocol. As an optional step, we removed residual DNA by DNAse treatment. RNA was extracted from FFPE tissue by using RecoverAll Total Nucleic Acid Isolation Kit (Ambion by Thermo Fischer Scientific) according to the manufacturer’s recommendation. Yield and purity of isolated RNA were estimated by NanoDrop 1000 (NanoDrop Technologies, Houston, TX, USA). Purified RNA samples were stored at -80 °C until further investigation.
Table 1.
Case | Sitea | Sizeb (cm) | Therapy | Site of metastasis | Size of recurrencec (cm) | Subtype |
---|---|---|---|---|---|---|
1 | right leg | 5.5 | SX + ChT | mpx lung, bone, CNS | no recurrence | monophasic |
2 | left ankle | 4 | SX + ChT | lung | no recurrence | biphasic |
3 | lung | NA | SX + ChT | lung | no recurrence | biphasic |
4 | gluteal region | 7 | SX + ChT | no metastasis | no recurrence | monophasic |
5 | left hand | 1 | SX + ChT | mpx lung | 2.8 | monophasic |
6 | left praesacral region | NA | SX + ChT | mpx lung | 4 | monophasic |
7 | left leg | NA | SX + ChT | mpx lung, liver | 3 | monophasic |
8 | abdominal wall | 10 | SX + ChT | no metastasis | 3.5 | monophasic |
9 | right palm | 3 | SX | no metastasis | 1.5 | biphasic |
10 | neck | NA | SX + RT + ChT | no metastasis | no recurrence | monophasic |
11 | left forearm | NA | SX + ChT | lung | 2.1 | monophasic |
12 | right forearm | 3.9 | SX + ChT | mpx lung, mediastinum | no recurrence | monophasic |
13 | right popliteal region | 10 | SX + ChT | mpx lung, kidney | NA | monophasic |
14 | right sole | 5 | SX + ChT | no metastasis | no recurrence | monophasic |
15 | left leg | NA | SX + ChT | mpx lung, pleura, mediastinum | no recurrence | biphasic |
alocation of the primary tumor; bmaximum diameter of the primary tumor; cmaximum diameter of the recurrent tumor; NA not available, SX surgical excision, ChT chemotherapy, RT radiotherapy, mpx multiplex, CNS central nervous system. Chemotherapy means the combination of the following agents: Epirubicin; VIP: 3 cycles of Etoposide, Ifosfamide and Cisplatin; Bisphosphonate; Dacarbazine; Vincristine; Pazopanib; Doxorubicin; Ifosfamide; Gemcytabine; Docetaxel; Carboplatin; Etoposide; CYVADIC: Cyclophosphamide, Vincristine, Adriamycin, Dacarbazine
Reverse transcription
The RNA samples were reverse-transcribed using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA) to synthetize first-strand complementary DNA. Until PCR measurements were taken, the reverse transcribed cDNA samples were stored at -20 °C.
Nested PCR and droplet digital PCR
To demonstrate the SS18-SSX1 or SS18-SSX2 fusion genes, nested PCR and droplet digital PCR (ddPCR) were accomplished. Nested PCR was carried out with two sets of primers based on the modified protocol of Hashimoto et al. [19]. PCR primers for the first-round PCR were the following: 5’-CAACAGCAAGATGCATACCA-3′ and 5′- CACTTGCTATGCACCTGATG-3′. For the second-round PCR, the following primers were used: 5′- ACAGCCTGGACCACCACAGC-3′ and 5′- AGGCATGTTTCCCCCTTTTG-3′. Denaturation for 30 cycles at 95 °C for 20 s, annealing at 58 °C for 20 s and extension at 72 °C for 20 s were performed after initial denaturation for 10 min. The primer set of the first-round PCR yielded PCR products of 548 base pairs (bp), while the primers of the second-round were designed to amplify both SS18-SSX1 and SS18-SSX2 subtypes and to form considerably shorter products with 212 bp. As positive controls, SS-iASC and two paraffin-embedded SS tissues (SS1 and SS2) were used where translocation of SS18 and SSX1 or SSX2 genes was confirmed previously by FISH. In the tissue samples and the SS-iASC, the coding region of the SS18-SSX fusion gene was analyzed solely by single PCR using the second-round primers of the nested PCR. As an internal control, GAPDH was used. The length of the PCR products was investigated with agarose gel electrophoresis. Bands were detected using the Kodak Image Station 4000MM (Kodak, Rochester, NY, USA). ddPCR was accomplished using the SS18-SSX1-positive FAM (Hs03024820_ft) and the SS18-SSX2-positive FAM (Hs03024398_ft) Taqman assays (Applied Biosystems) and the QX200 ddPCR system (Bio-Rad Laboratories, Hercules, CA, USA) according to the manufacturer’s protocol. At first, cDNA samples were divided into droplets by the QX200 Droplet Generator (Bio-Rad). Thus, PCR amplification was carried out within each droplet using the C1000 Touch™ Thermal Cycler (Bio-Rad). After PCR, droplets were flooded in a single file on a QX200 Droplet Reader (Bio-Rad) which counted the fluorescent positive and negative droplets. After counting, the analysis software QuantaSoft™ (Bio-Rad) calculated the copy number or concentration of the target RNA. Event counts < 3 were interpreted as undetected since negative controls appeared in 3 events. As negative controls, SS18-SSX non expressing cell lines named iASC [21], Caco2 and HT-1080 were used while as positive controls, the aforementioned two paraffin-embedded SS tissues and SS-iASC were used.
Results
Clinical and histopathological findings
The clinical findings are summarized in Table 1. In our series of 15 patients with SS, the male-to-female ratio was 4:11, with patients being exclusively Caucasian. The median age at diagnosis was 45 years (range: 24–72). The tumor was located on the periphery in 9 (60%) cases and centrally in 6 (40%) cases. Tumors were larger than 5 cm in 5 (33.3%) cases. At the time of diagnosis with active SS (included in the study population), 10 patients (66.7%) presented with primary metastasized disease, while 5 (33.3%) displayed with localized disease. 11 (73.3%) tumors were classified histologically as monophasic, while 4 (26.7%) were described as biphasic. Unique histology, immunophenotype and FISH with SS18/SSX TriCheck™ Probe approved the diagnosis of SS in all cases (Fig. 1). One patient was only surgically treated, treatments of the remaining 14 (93.3%) patients included surgical excision and chemotherapy and radiotherapy (RT) before blood withdrawal. Recurrence occurred in 6 (40%) cases and all recurrent tumors were smaller than 5 cm.
Nested PCR and ddPCR
Results of the agarose gel electrophoresis after nested PCR are shown in Fig. 2. The 212-bp band that represents the SS18-SSX fusion gene was only observed in the positive control SS-iASC and the two SS tissue samples while it was not detected in any peripheral blood samples of the 15 SS patients. The ddPCR results can be seen in Fig. 3 and Table 2. Regarding the positive control samples, 424 events specific for SS18-SSX1 transcript were counted in SS1, 579 events specific for SS18-SSX2 transcript were counted in SS2 sample and 51 SS18-SSX1-positive events were measured in SS-iASC (Table 2). As Fig. 3 represents, we could detect 8 SS18-SSX2-positive events in one liquid biopsy sample using the ddPCR method. The remaining 14 samples were considered as negative, since three or less events were detected with both SS18-SSX1 and SS18-SSX2 assays.
Table 2.
Case no. | Event Number (SS18-SSX1) | Event Number (SS18-SSX2) |
---|---|---|
SS1 | 424 | 0 |
SS2 | 0 | 579 |
SS-iASC | 51 | 0 |
1 | 0 | 1 |
2 | 0 | 3 |
3 | 1 | 8 |
4 | 0 | 2 |
5 | 0 | 2 |
6 | 1 | 1 |
7 | 0 | 1 |
8 | 1 | 3 |
9 | 0 | 2 |
10 | 0 | 3 |
11 | 2 | 1 |
12 | 2 | 3 |
13 | 0 | 1 |
14 | 1 | 1 |
15 | 0 | 0 |
iASC | 0 | 3 |
Caco2 | 1 | 1 |
HT-1080 | 2 | 2 |
SS1-SS2: paraffin-embedded synovial sarcoma tumor tissue no. 1 and 2, SS-iASC: SS18-SSX1 expressing immortalized adipose tissue-derived mesenchymal stem cell line, iASC: immortalized adipose tissue-derived mesenchymal stem cell line, Caco2: human colon adenocarcinoma cell line, HT-1080 human fibrosarcoma cell line
Discussion
To date, the detection of CTCs is an expansive field in tumor research and diagnostics. In lung cancer, detection of CTCs refers to the presence of metastases and the actual stage of disease [22]. In the last few years, several research groups inspected fusion transcripts derived from CTCs and cell free nucleic acids in the blood stream of EWS patients [23, 24]. The recurrent abnormal gene fusion product can be detected in involved patients but not in healthy individuals [14]. Sarcoma-specific fusion gene transcripts like EWSR1-ERG or EWSR1-FLI1 in EWS or PAX3-FKHR or PAX7-FKHR in alveolar rhabdomyosarcoma (aRMS) are providing a promising way to detect CTCs [25, 26]. Nevertheless, except for two case reports [19, 27], no further studies have validated CTCs in SS as a prognostication tool. For these reasons, we aimed to investigate the potential attendance of chimeric SS18-SSX fusion transcripts in the blood samples of SS patients after about six months of first combined therapy including surgical excision and chemotherapy and/or radiotherapy.
As mentioned above, two research groups [19, 27] could detect the SS specific SS18-SSX fusion transcript with nested PCR in the peripheral blood of two patients before but not after combined treatments. Hashimoto et al. explained the release of CTCs into the blood with the poorly differentiated histologic type of SS. Despite subsequent metastases, they could not detect the fusion gene after surgical excision and chemotherapy [19]. Correspondingly, Ogino et al. detected the unique fusion transcript preoperatively in the plasma of a patient with gastric SS but they were unable to reveal it six months postoperatively [27]. Both groups supposed that the amount of CTCs and microvesicles in these two SS patients decreased to an imponderable level.
Several SS samples were examined by Fricke et al., including the well-known 1273/99 SS cell line and blood samples of eight SS patients, and they found that RT-qPCR and nested PCR were more sensitive in the detection of SS18-SSX fusion transcripts in contrast to ddPCR. They could only detect the SS18-SSX2 fusion gene transcripts in the positive control 1273/99 cell line, but not in the liquid biopsies of the investigated patients [11]. Along with Fricke et al., we also performed nested PCR and the relatively new and pioneering ddPCR method to analyze the collected liquid biopsy samples. The whole peripheral blood of fifteen SS patients with diversified clinical backgrounds referring to their age, stage of the tumor and treatment strategies were examined. The SS18/SSX2 fusion transcript was detected by ddPCR in one patient representing the transcript in a small amount (8 positive events) of copy number (Fig. 3). Although this patient (case no. 3) had no recurrence, but lung metastasis was present at the time of blood collection. SS patients are usually recalled for detailed clinical re-staging examination (physical and radiological examination, laboratory testing) after approximately 6 months of the initial diagnosis. This approximately half-year period was chosen to try to detect the specific fusion transcript using liquid biopsies. In 12 cases there were recurrences and/or metastases, but in 3 cases there were no detectable tumor, however in the latter cases we still wanted to be sure to rule out the possibility of circulating tumor cells. A recent study underlines our findings because digital PCR-based methods, like ddPCR, have the potential to improve the limitations of RT-qPCR as Mehle et al. describe in their article. They found that reverse transcription droplet digital PCR (RT-ddPCR) as an absolute quantification method was 10-fold greater in sensitivity than RT-qPCR [28]. Pilot studies of different translocation-positive sarcomas showed that the most promising in CTC detection is the detection of the unique fusion transcript of the disease. Albeit this statement was reinforced mainly by studies of CTCs in EWS patients [14]. Recently, Uotani et al. found a novel circulating microRNA miR-92b-3p as a promising new biomarker of SS monitoring [29]. They examined the plasma from SS patients and cell culture media from SS cell lines to identify novel microRNAs. MiR-92b-3p seemed to be significantly higher in SS patients compared to healthy individuals and correlated with tumor dynamics in animal experiments.
Summing up, based on our and others’ [11, 19, 27] findings, additional SS specific biomarkers are needed to complete the detection of disease recurrence in liquid biopsies of the tumor. Moreover, it would be important to clear up whether the presence of CTCs or cell-free nucleic acids in SS correlates with the prognosis of the disease. This theory is yet to be proven.
Conclusion
In conclusion, we can declare that the release of SS CTCs or cell-free nucleic acids is a rare occurrence and, because of this, is not a reliable marker for detecting tumor recurrence. Therefore, to diagnose minimal residual disease, predict disease recurrence or metastases before clinical manifestations and to be able to continuously monitor treatment effects, other new potential biomarkers are needed beside the detection of SS fusion transcripts.
Acknowledgments
Funding
This work was financially supported by the Hungarian Scientific Research Fund (OTKA) https://nkfih.gov.hu/funding/otka, [No: K-112993]; and the [NVKP_16-1-2016-0004] grant of the Hungarian National Research, Development and Innovation Office (NFKIH).
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
Abbreviations
- aRMS
alveolar rhabdomyosarcoma
- cfDNA
cell free DNA
- cfRNA
cell free RNA
- CTC
Circulating tumor cell
- ddPCR
droplet digital PCR
- EWS/PNET
Ewing’s sarcoma/peripheral neuroectodermal tumor
- FISH
Fluorescent in situ hybridization
- GAPDH
Glyceraldehyde-3-phosphate dehydrogenase
- miRNA
micro-ribonucleic acid
- PCR
Polymerase chain reaction
- qRT-PCR
Quantitative real-time PCR
- RT
Radiotherapy
- SS
Synovial sarcoma
- SS-iASC
SS18-SSX1-carrying human immortalized adipose derived mesenchymal stem-cell line
Authors’ contributions
DM carried out the nucleic acid isolation from the blood samples, performed reverse transcription, nested PCR and ddPCR experiments, collected the results and designed and drafted the manuscript. NN helped with the evaluation of ddPCR experiments and helped with the preparation of Figs. SZ conceived of the study and GP, ZsP and SZ participated in its design and helped to draft the manuscript. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
The study protocol was approved by the Ethics and Scientific committee of the participating institution. TUKEB 155/2012. Signed informed consent was obtained from all participants, allowing analysis of tumor tissue, clinical data, and blood samples, and the study was conducted with the approval of the Semmelweis University Regional and Institutional Committee of Science and Research Ethics and according to the Declaration of Helsinki.
Consent for publication
The written informed consent for publication was obtained.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Dóra Mihály, Email: dora.mihaly@gmail.com.
Noémi Nagy, n.noncsi@freemail.hu.
Gergő Papp, Email: papp.gergo@med.semmelweis-univ.hu.
Zsuzsanna Pápai, Email: zspapai@gmail.com.
Zoltán Sápi, Phone: +36 1 459 1500/4457, Email: sapi.zoltan.dr@gmail.com.
References
- 1.Herzog Cynthia E. Overview of Sarcomas in the Adolescent and Young Adult Population. Journal of Pediatric Hematology/Oncology. 2005;27(4):215–218. doi: 10.1097/01.mph.0000161762.53175.e4. [DOI] [PubMed] [Google Scholar]
- 2.Eilber Fritz C., Dry Sarah M. Diagnosis and management of synovial sarcoma. Journal of Surgical Oncology. 2008;97(4):314–320. doi: 10.1002/jso.20974. [DOI] [PubMed] [Google Scholar]
- 3.Verbeek Bianca M., Kaiser Courtney L., Larque Ana B., Hornicek Francis J., Raskin Kevin A., Schwab Joseph H., Chen Yen-Lin, Lozano Calderón Santiago A. Synovial sarcoma of the shoulder: A series of 14 cases. Journal of Surgical Oncology. 2017;117(4):788–796. doi: 10.1002/jso.24889. [DOI] [PubMed] [Google Scholar]
- 4.Clark Jeremy, Rocques Philippe J., Crew A. Jayne, Gill Sandra, Shipley Janet, Chan Andrew M.-L., Gusterson Barry A., Cooper Colin S. Identification of novel genes, SYT and SSX, involved in the t(X;18)(p11.2;q11.2) translocation found in human synovial sarcoma. Nature Genetics. 1994;7(4):502–508. doi: 10.1038/ng0894-502. [DOI] [PubMed] [Google Scholar]
- 5.Crew A.J., Clark J., Fisher C., Gill S., Grimer R., Chand A., Shipley J., Gusterson B.A., Cooper C.S. Fusion of SYT to two genes, SSX1 and SSX2, encoding proteins with homology to the Kruppel-associated box in human synovial sarcoma. The EMBO Journal. 1995;14(10):2333–2340. doi: 10.1002/j.1460-2075.1995.tb07228.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Skytting B., Nilsson G., Brodin B., Xie Y., Lundeberg J., Uhlen M., Larsson O. A Novel Fusion Gene, SYT-SSX4, in Synovial Sarcoma. JNCI Journal of the National Cancer Institute. 1999;91(11):974–975. doi: 10.1093/jnci/91.11.974. [DOI] [PubMed] [Google Scholar]
- 7.Dimitriadis Euthimios, Rontogianni Demetra, Kyriazoglou Anastasios, Takou Anna, Frangia Kostantina, Pandis Nikolaos, Trangas Theoni. Novel SYT–SSX fusion transcript variants in synovial sarcoma. Cancer Genetics and Cytogenetics. 2009;195(1):54–58. doi: 10.1016/j.cancergencyto.2009.06.012. [DOI] [PubMed] [Google Scholar]
- 8.Wei Y, Wang J, Zhu X, Shi D, Hisaoka M, Hashimoto H. Detection of SYT-SSX fusion transcripts in paraffin-embedded tissues of synovial sarcoma by reverse transcription-polymerase chain reaction. Chin Med J. 2002;7:1043–1047. [PubMed] [Google Scholar]
- 9.Amary MF, Berisha F, Bernardi Fdel C, Herbert A, James M, Reis-Filho JS, et al. Detection of SS18-SSX fusion transcripts in formalin-fixed paraffin-embedded neoplasms: analysis of conventional RT-PCR, qRT-PCR and dual color FISH as diagnostic tools for synovial sarcoma. Modern pathology : an official journal of the United States and Canadian academy of pathology. Inc. 2007;4:482–496. doi: 10.1038/modpathol.3800761. [DOI] [PubMed] [Google Scholar]
- 10.Sun Baocun, Sun Yan, Wang Jian, Zhao Xiulan, Zhang Shiwu, Liu Yanxue, Li Xiaoqing, Feng Yumei, Zhou Hongyuan, Hao Xishan. The diagnostic value of SYT-SSX detected by reverse transcriptase–polymerase chain reaction (RT-PCR) and fluorescence in situ hybridization (FISH) for synovial sarcoma: A review and prospective study of 255 cases. Cancer Science. 2008;99(7):1355–1361. doi: 10.1111/j.1349-7006.2008.00830.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Fricke A, Ullrich PV, Cimniak AF, Follo M, Nestel S, Heimrich B, et al. Synovial sarcoma Microvesicles Harbor the SYT-SSX fusion gene transcript: comparison of different methods of detection and implications in biomarker research. Stem Cells Int. 2016;2016:6146047. doi: 10.1155/2016/6146047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Leung Cheuk T., Brugge Joan S. Tumor Self-Seeding: Bidirectional Flow of Tumor Cells. Cell. 2009;139(7):1226–1228. doi: 10.1016/j.cell.2009.12.013. [DOI] [PubMed] [Google Scholar]
- 13.Butler Timothy M, Spellman Paul T, Gray Joe. Circulating-tumor DNA as an early detection and diagnostic tool. Current Opinion in Genetics & Development. 2017;42:14–21. doi: 10.1016/j.gde.2016.12.003. [DOI] [PubMed] [Google Scholar]
- 14.Chang L, Asatrian G, Dry SM, James AW. Circulating tumor cells in sarcomas: a brief review. Med Oncol. 2015;1:430. doi: 10.1007/s12032-014-0430-9. [DOI] [PubMed] [Google Scholar]
- 15.Peter M, Magdelenat H, Michon J, Melot T, Oberlin O, Zucker JM, Thomas G, Delattre O. Sensitive detection of occult Ewing's cells by the reverse transcriptase-polymerase chain reaction. British Journal of Cancer. 1995;72(1):96–100. doi: 10.1038/bjc.1995.283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Thomson B, Hawkins D, Felgenhauer J, Radich JP. RT-PCR evaluation of peripheral blood, bone marrow and peripheral blood stem cells in children and adolescents undergoing VACIME chemotherapy for Ewing’s sarcoma and alveolar rhabdomyosarcoma. Bone Marrow Transplantation. 1999;24(5):527–533. doi: 10.1038/sj.bmt.1701939. [DOI] [PubMed] [Google Scholar]
- 17.Schleiermacher G, Peter M, Oberlin O, Philip T, Rubie H, Mechinaud F, et al. Increased risk of systemic relapses associated with bone marrow micrometastasis and circulating tumor cells in localized Ewing tumor. J Clin Oncol. 2003;1:85–91. doi: 10.1200/JCO.2003.03.006. [DOI] [PubMed] [Google Scholar]
- 18.Przybyl J, Kozak K, Kosela H, Falkowski S, Switaj T, Lugowska I, et al. Gene expression profiling of peripheral blood cells: new insights into Ewing sarcoma biology and clinical applications. Med Oncol. 2014;8:109. doi: 10.1007/s12032-014-0109-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hashimoto Nobuyuki, Myoui Akira, Araki Nobuhito, Asai Tatsuya, Sonobe Hiroshi, Hirota Seiichi, Yoshikawa Hideki. Detection of SYT-SSX Fusion Gene in Peripheral Blood From a Patient With Synovial Sarcoma. The American Journal of Surgical Pathology. 2001;25(3):406–410. doi: 10.1097/00000478-200103000-00017. [DOI] [PubMed] [Google Scholar]
- 20.Mihály Dóra, Matula Zsolt, Changchien Yi-Che, Papp Gergő, Tátrai Péter, Sápi Zoltán. First cloned human immortalized adipose derived mesenchymal stem-cell line with chimeric SS18-SSX1 gene (SS-iASC) Cancer Genetics. 2017;216-217:52–60. doi: 10.1016/j.cancergen.2017.07.003. [DOI] [PubMed] [Google Scholar]
- 21.Tátrai Péter, Szepesi Áron, Matula Zsolt, Szigeti Anna, Buchan Gyöngyi, Mádi András, Uher Ferenc, Német Katalin. Combined introduction of Bmi-1 and hTERT immortalizes human adipose tissue-derived stromal cells with low risk of transformation. Biochemical and Biophysical Research Communications. 2012;422(1):28–35. doi: 10.1016/j.bbrc.2012.04.088. [DOI] [PubMed] [Google Scholar]
- 22.Hou JM, Greystoke A, Lancashire L, Cummings J, Ward T, Board R, et al. Evaluation of circulating tumor cells and serological cell death biomarkers in small cell lung cancer patients undergoing chemotherapy. Am J Pathol. 2009;2:808–816. doi: 10.2353/ajpath.2009.090078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Krumbholz M, Hellberg J, Steif B, Bauerle T, Gillmann C, Fritscher T, et al. Genomic EWSR1 fusion sequence as highly sensitive and dynamic plasma tumor marker in Ewing sarcoma. Clin Cancer Res. 2016;17:4356–4365. doi: 10.1158/1078-0432.CCR-15-3028. [DOI] [PubMed] [Google Scholar]
- 24.Benini Stefania, Gamberi Gabriella, Cocchi Stefania, Garbetta Jessica, Alberti Laurent, Righi Alberto, Gambarotti Marco, Picci Piero, Ferrari Stefano. Detection of circulating tumor cells in liquid biopsy from Ewing sarcoma patients. Cancer Management and Research. 2018;Volume 10:49–60. doi: 10.2147/CMAR.S141623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.West DC, Grier HE, Swallow MM, Demetri GD, Granowetter L, Sklar J. Detection of circulating tumor cells in patients with Ewing's sarcoma and peripheral primitive neuroectodermal tumor. J Clin Oncol. 1997;2:583–588. doi: 10.1200/JCO.1997.15.2.583. [DOI] [PubMed] [Google Scholar]
- 26.Kelly Kara M., Womer Richard B., Barr Frederic G. Minimal disease detection in patients with alveolar rhabdomyosarcoma using a reverse transcriptase‐polymerase chain reaction method. Cancer. 1996;78(6):1320–1327. doi: 10.1002/(SICI)1097-0142(19960915)78:6<1320::AID-CNCR22>3.0.CO;2-1. [DOI] [PubMed] [Google Scholar]
- 27.Ogino Shinpei, Konishi Hirotaka, Ichikawa Daisuke, Hamada Junichi, Shoda Katsutoshi, Arita Tomohiro, Komatsu Shuhei, Shiozaki Atsushi, Okamoto Kazuma, Yamazaki Sanae, Yasukawa Satoru, Konishi Eiichi, Otsuji Eigo. Detection of fusion gene in cell-free DNA of a gastric synovial sarcoma. World Journal of Gastroenterology. 2018;24(8):949–956. doi: 10.3748/wjg.v24.i8.949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Mehle N, Dobnik D, Ravnikar M, Pompe Novak M. Validated reverse transcription droplet digital PCR serves as a higher order method for absolute quantification of potato virus Y strains. Anal Bioanal Chem. 2018. [DOI] [PubMed]
- 29.Uotani K, Fujiwara T, Yoshida A, Iwata S, Morita T, Kiyono M, et al. Circulating MicroRNA-92b-3p as a novel biomarker for monitoring of synovial sarcoma. Sci Rep. 2017;(1):14634. [DOI] [PMC free article] [PubMed]
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Data Availability Statement
All data generated or analyzed during this study are included in this published article.