Purpose:

It is difficult to predict prognosis of patients with osteosarcoma at initial diagnosis due to lack of efficient prognostic parameters. We evaluated the relationship between level of circulating serum exosomal PD-L1 (Sr-exosomal PD-L1) at initial diagnosis and oncologic outcome during the follow-up.

Experimental Design:

Sixty-seven patients with newly diagnosed osteosarcoma were prospectively recruited. Fasting blood was collected and exosome isolation was performed using ultracentrifugation method. Evaluation of Sr-exosomal PD-L1 was performed respectively by immunogold labeling and ELISA method. Correlation between level of Sr-exosomal PD-L1 at initial diagnosis and clinical risk factors was assessed.

Results:

Mean follow-up was 46.7 months. Two-year and 5-year overall survival (OS) rates were respectively 96.9% and 62.5%. Two-year and 5-year disease-free survival (DFS) rates were respectively 85.0% and 31.4%. Results revealed a significantly positive association between high PD-L1 cargo of circulating exosomes and clinicopathologic disease markers such as pulmonary metastasis, multiple metastasis, and death. Patients who died of disease at final follow-up had higher level of Sr-exosomal PD-L1 at initial diagnosis, which compared with patients who were still alive at last follow-up. Patients in group of ≥14.23 pg/mL Sr-exosomal PD-L1 at initial diagnosis had inferior DFS compared with patients in group of <14.23 pg/mL at initial diagnosis. Patients in group of ≥25.96 pg/mL at initial diagnosis had poor OS compared with patients in group of <25.96 pg/mL at initial diagnosis.

Conclusions:

Use of liquid biopsy of circulating exosomal PD-L1 at initial diagnosis provides a robust means of predicting prognosis for patients with a newly diagnosed osteosarcoma.

Translational Relevance

Liquid biopsy of blood sample provides an important source of circulating noninvasive tumor biomarkers that can be easily applied in the clinic, which is more convenient and inexpensive than other studies. However, liquid biopsy of osteosarcoma develops slower than that of other cancers. The current study provides liquid biopsy of circulating exosomal PD-L1 at initial diagnosis as a robust means of predicting prognosis for patients with newly diagnosed osteosarcoma.

Osteosarcoma is the most common bone sarcoma of childhood and adolescence. The use of neoadjuvant chemotherapy has improved the 5-year survival rate of osteosarcoma to approximately 60% to 70% for early-stage patients. However, patients with metastatic disease maintain refractory to chemotherapy and progress rapidly. Unfortunately, these patients have a 5-year survival of only 10%–20%. How to accurately predict at the initial diagnosis and noninvasively monitor the progression of osteosarcoma is a great challenge. Liquid biopsy of blood samples provides an important source of circulating noninvasive tumor biomarkers that can be easily applied in the clinic, which is more convenient and inexpensive than CT scan or PET-CT used for monitoring disease progression. Regretfully, liquid biopsy of osteosarcoma develops slower than that of other cancers (1–4). However, in recent years, more evidence has demonstrated liquid biopsy of sarcomas including osteosarcoma provides important information of monitoring the disease progression. Furthermore, the analysis of circulating biomarkers in peripheral blood, such as circulating tumor cells, circulating tumor DNA, circulating free DNA, and circulating exosomes could provide real-time information on tumor genetics, disease state, and resistance mechanisms (5–9).

Exosomes are secreted as the vesicles which are enclosed by the cell membrane and their size ranges from 30 to 150 nm diameter (10). Various types of cells such as immune cells, fibroblast, and endothelial cells, release exosomes into the extracellular space and microenviroment, involved in the tumor pathogenesis (11–13). Exosomes have been reported to act as regulatory elements through which tumor cells can communicate with and reprogram the immune cells populating in the tumor microenvironment (14–16). More studies have been reported that circulating exosomes have the potential to serve as important biomarkers which can efficiently predict the disease prognosis (1, 3, 14, 17). For most sarcomas including osteosarcoma, fewer exosomal biomarkers are recommended as recognized indicators of the prognosis at the initial diagnosis which predict the outcome and supervise the disease progression during the follow-up for patients with overall survival (OS).

The genetic complexity of osteosarcoma has proved significant, with the majority of patients displaying loss of both p53 and RB, chromothripsis, chromosome shattering kataegis, and localized areas of hypermutation (18, 19). The complicated genetic feature in osteosarcoma, along with the regular interaction between immune cells and bone cells in normal tissue, suggests that osteosarcoma may be an immunogenic tumor and evasion of the immune response may be an important component of its pathogenesis (20, 21). Programmed death ligand 1 (PD-L1; B7-H1; CD274) was first discovered by Freeman and colleagues in 2000, who reported that programmed death-1 (PD-1)/PD-L1 interaction resulted in inhibited T-cell receptor–mediated CD8+ lymphocyte activation. PD-L1 on the surface of tumor cells bound its receptor PD-1 on effector T cells, thereby suppressing their activity (22). PD-1/PD-L1 axis and its role in promoting immune escape has resulted in great development in the therapeutic strategy. Therefore, tumors escape immunosurveillance by expressing immune checkpoints of PD-L1. Furthermore, the interaction between PD-L1, expressed on tumor cells and its receptor PD-1, expressed on immune cells, leads to immune cell apoptosis, anergy, and tolerance. However, expressive abundance of PD-L1 in the osteosarcoma specimen is limited and several studies proved this phenomenon (20, 23). Koirala and colleagues reported PD-L1 was not expressed in primary specimens and was only expressed in metastatic tissue (23). Our previous study also demonstrated the positive expression rate of PD-L1 in the primary specimens was relatively lower compared with other malignant tumors (20). Recently, several studies in the literature revealed not only PD-L1 expressing on tumor cells, but circulating exosomal PD-L1 produced the systematic immunosuppression in patients with malignant tumor (2, 24, 25). Notably, with regard to osteosarcoma, immunosuppressive cells, supportive cells in the microenvironment, and osteosarcoma cells contribute to the systematic immunosuppression in patients with OS and all of these cells can release the exosomal PD-L1 into the blood. In the previous study, we have demonstrated the circulating exosomal PD-L1 in patients with osteosarcoma was highly expressed compared with that in healthy donors, although the low positive rate of PD-L1 expression was observed in osteosarcoma specimen. Furthermore, exosomes isolated from serum of patients with OS were strongly immunosuppressive, stimulated the pulmonary metastasis, and carried high abundance of PD-L1 (26). Thus, we proposed detection of circulating exosomal PD-L1 in patients with osteosarcoma at the initial diagnosis had a significant value of predicting the prognosis during follow-up. In the current study, we sought to answer: (i) whether liquid biopsy of circulating exosomal PD-L1 at the initial diagnosis could predict the outcome and survival of patients with osteosarcoma, and (ii) whether the high level of exosomal PD-L1 in the serum was associated with inferior outcomes for patients with a newly diagnosed osteosarcoma.

Study design and sample collection

Sixty-seven patients with newly diagnosed osteosarcoma were prospectively recruited into the current study from our tumor center between October 2016 and January 2018 according to the study criteria. The design of present prospective study was showed in Supplementary Fig. S1. The inclusion criteria for current study were as follows: (i) after preoperative biopsy, patients whose histologic diagnosis was osteosarcoma were recruited into the current prospective study. Before chemotherapy, fasting blood was collected in serum separator vacutainer tubes for exosome isolation. (ii) Patients were newly diagnosed as osteosarcoma without any treatment, including chemotherapy, radiotherapy, immunotherapy, and surgery. (iii) All patients were confirmed as osteosarcoma by the postoperative histology. (iv) Intact clinical and follow-up data including basic characteristics, radiological data, and oncologic information at the last follow-up. The exclusion criteria were as follows: (i) Recurrent osteosarcoma. (ii) Patients who had received any treatment, including chemotherapy, radiotherapy, and surgery. (iii) Patients whose postoperative histology was not osteosarcoma were excluded and blood samples at the initial diagnosis were discarded. (iv) Incomplete medical records and inadequate follow-up. All clinical samples were collected with written informed consent from patients and the ethical approval was granted from the Committees for Ethical Review at our hospital. Furthermore, the current study was conducted in accordance with Declaration of Helsinki.

Patient diagnosis, treatment strategy, and follow-up procedure

For the initial clinical evaluation and diagnosis, all patients received plain radiographs, CT, MRI, and bone scanning. After imaging, we performed the needle biopsy to clarify the diagnosis. Neoadjuvant chemotherapy was applied. The protocol consisted of two cycles before surgery and four cycles after surgery and included doxorubicin, cisplatin, high-dose methotrexate, and ifosfamide. En bloc resection with clear surgical margin was achieved for all patients. The routine follow-up including clinical examination and radiographs was performed every 3 months for the first 6 months, every 6 months for the first 3 years, and then annually. The chest CT scanning and bone scanning were performed every 6 months for the first 3 years, and then annually.

Exosome isolation and characterization of purified exosomes

As described previously, exosome isolation was performed using the ultracentrifugation method and the final pellets of exosomes were stored at −80°C for the experiment (26). Meanwhile, for the experiments of transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA), the detailed procedures were described in the previous study (26).

Confirmation of serum exosomes characteristics of patients with OS

The exosome fraction was characterized by TEM and nanoparticle tracking system for morphology, concentration, and size, as well as by Western blot analysis for exosome-associated biomarkers. TEM showed that the extracellular vesicle fraction from serum of patient with OS contained typical cup-shaped vesicles, which were the exosomes (Supplementary Fig. S2A). As nanoparticle tracking analysis was shown in Supplementary Fig. S2B, the size distribution of these serum exosomes of patients with OS was mostly around 100 nm. Exosomes from serum of patient with OS were positive for representative biomarkers (i.e., Tsg101, Alix, CD63) and negative for cell debris (Calnexin) in Western blot analysis (Supplementary Fig. S2C). In summary, the above mentioned experiments confirmed the extracellular vesicle extracted from serum samples as the exosomes.

Immunogold labeling of exosomal PD-L1 and ELISA analysis of Sr-exosomal PD-L1

Immunogold labeling of exosomal PD-L1 was performed according to previous study (26). For detection of PD-L1 in exosomes, Sr-exosomal PD-L1 from patients with OS was analyzed by ELISA and the detailed procedure was described in the previous study (26).

Western blot analysis

The concentration of exosomal total protein was quantified by the bicinchoninic acid assay (Thermo Fisher Scientific) using BSA as standard. Western blot analysis was performed as described previously (26). The following primary antibodies were used: (i) mouse anti-CD63 (sc-5275, Santa Cruz Biotechnology), (ii) mouse anti-TSG101 (sc-7964, Santa Cruz Biotechnology), (iii) mouse anti-Alix (sc-53540, Santa Cruz Botechnology), (iv) mouse anti-calnexin (10,427–2-AP, Promega).

Statistical analysis

Continuous variables were described as mean and SD, median, and range. Categorical variables were described as number and percentage. The Student t test or χ2 test was used to compare continuous and categorical variables. The patients with NED or AWD at the final follow-up were defined as alive group. Meanwhile, the ones with DOD at the final follow-up were defined as dead group. A multivariate logistic regression was applied to identify the significant independent predictors of oncologic prognosis of alive and dead status. Model selection methods such as Wald backward elimination were used to identify significant factors from the explanatory variables.

ROC curve analysis was used to confirm the cut-off value. Cut-off values of Sr-exosomal PD-L1 for OS and disease-free survival (DFS) were estimated from the best operating points of the areas under the ROC curve analyses by using the Youden J statistic (sensitivity + specificity − 1). When the Youden J statistic value was the largest, the level of Sr-exosomal PD-L1 could be defined as the respective cut-off values of OS and DFS. OS was measured from admission, whereas DFS was measured from the time of operation, respectively with time of death and local recurrence and/or metastasis. Survival rate was analyzed with Kaplan–Meier curves and the log-rank test. Statistical analysis was performed by SPSS software (version 19.0; SPSS Inc) and P ≤ 0.05 indicated a statistically significant difference.

Data availability statement

The data generated in this study were available within the article and its Supplementary Data (Supplementary Table S3). The raw data will be shared when the readers request the additional data.

Clinical demographic information of 67 patients with OS

The characteristics of 67 patients were listed in Table 1. There were 37 males and 30 females, with a mean age of 14.4 years (median, 13 years; 5–40 years). The mean follow-up duration was 46.7 months (median, 49.8 months; 6.1–79.0 months). Sixty-one patients had localized disease and 6 sustained metastatic disease. Thirty-nine patients (58.2%, 39/67) had no evidence of local recurrence and metastasis at the final follow-up. Seventeen patients (25.4%, 17/67) died of the disease at a mean of 29.8 months (median, 26.8 months; range, 6.1–62.3 months) postoperatively. Eleven cases were alive with disease (16.4%, 11/67). Rate of local recurrence was 7.5% (5/67). At the final follow-up, 32 patients had pulmonary metastasis and 11 cases sustained multiple metastases of lung and other organs of brain and bone (Supplementary Table S1). The 2-year and 5-year OS rates in the cohort were respectively 96.9% and 62.5% (Fig. 1A). Meanwhile, the 2-year and 5-year DFS rates were respectively 85.0% and 31.4% (Fig. 1B).

Table 1.

Comparison of Sr-exosomal PD-L1 levels at the initial diagnosis for different clinical parameters.

Sr-exosomal level at initial diagnosisP
Gender 
 Male (n = 37) 14.4 ± 11.5 0.193 
 Female (n = 30) 10.7 ± 11.3  
Age at initial diagnosis 
 ≤18 years (n = 58) 13.1 ± 11.6 0.576 
 >18 years (n = 9) 10.8 ± 11.2  
Primary disease site 
 Femur (n = 42) 13.3 ± 10.7 0.957 
 Tibia (n = 11) 11.0 ± 10.9  
 Humerus (n = 8) 13.4 ± 18.2  
 Fibula (n = 4) 9.8 ± 5.1  
 Pelvic (n = 2) 14.2 ± 19.6  
Stage at diagnosis 
 Localized (n = 61) 12.4 ± 11.5 0.367 
 Metastatic (n = 6) 16.9 ± 12.1  
Tumor size 
 ≤5 cm (n = 19) 13.4 ± 12.4 0.783 
 >5 cm (n = 48) 12.5 ± 11.3  
Histologic types 
 Conventional (n = 59) 12.7 ± 11.4 0.991 
 Telangiectatic (n = 5) 13.4 ± 13.8  
 Small cell (n = 3) 12.8 ± 11.5  
Tumor necrosis after neoadjuvant chemotherapy 
 ≥90% (n = 46) 11.4 ± 10.6 0.158 
 <90% (n = 21) 15.7 ± 13.0  
Disease status at last follow-up 
 NED (n = 39) 9.4 ± 8.3 <0.001 
 AWD (n = 11) 10.2 ± 8.5  
 DOD (n = 17) 22.0 ± 14.7  
Pulmonary metastasis at last follow-up 
 Yes (n = 32) 16.4 ± 13.4 0.016 
 No (n = 35) 9.5 ± 8.3  
Multiple metastasis at last follow-up 
 Yes (n = 11) 26.2 ± 14.6 <0.001 
 No (n = 56) 10.1 ± 8.8  
Local recurrence 
 Yes (n = 5) 21.0 ± 17.7 0.096 
 No (n = 62) 12.1 ± 10.8  
Sr-exosomal level at initial diagnosisP
Gender 
 Male (n = 37) 14.4 ± 11.5 0.193 
 Female (n = 30) 10.7 ± 11.3  
Age at initial diagnosis 
 ≤18 years (n = 58) 13.1 ± 11.6 0.576 
 >18 years (n = 9) 10.8 ± 11.2  
Primary disease site 
 Femur (n = 42) 13.3 ± 10.7 0.957 
 Tibia (n = 11) 11.0 ± 10.9  
 Humerus (n = 8) 13.4 ± 18.2  
 Fibula (n = 4) 9.8 ± 5.1  
 Pelvic (n = 2) 14.2 ± 19.6  
Stage at diagnosis 
 Localized (n = 61) 12.4 ± 11.5 0.367 
 Metastatic (n = 6) 16.9 ± 12.1  
Tumor size 
 ≤5 cm (n = 19) 13.4 ± 12.4 0.783 
 >5 cm (n = 48) 12.5 ± 11.3  
Histologic types 
 Conventional (n = 59) 12.7 ± 11.4 0.991 
 Telangiectatic (n = 5) 13.4 ± 13.8  
 Small cell (n = 3) 12.8 ± 11.5  
Tumor necrosis after neoadjuvant chemotherapy 
 ≥90% (n = 46) 11.4 ± 10.6 0.158 
 <90% (n = 21) 15.7 ± 13.0  
Disease status at last follow-up 
 NED (n = 39) 9.4 ± 8.3 <0.001 
 AWD (n = 11) 10.2 ± 8.5  
 DOD (n = 17) 22.0 ± 14.7  
Pulmonary metastasis at last follow-up 
 Yes (n = 32) 16.4 ± 13.4 0.016 
 No (n = 35) 9.5 ± 8.3  
Multiple metastasis at last follow-up 
 Yes (n = 11) 26.2 ± 14.6 <0.001 
 No (n = 56) 10.1 ± 8.8  
Local recurrence 
 Yes (n = 5) 21.0 ± 17.7 0.096 
 No (n = 62) 12.1 ± 10.8  

Note: Bold values indicate P < 0.05.

Abbreviations: AWD, alive with disease; DOD, died of disease; NED, no evidence of disease.

Figure 1.

A, The 2-year and 5-year OS rates were respectively 96.9% and 62.5%. B, The 2-year and 5-year DFS rates were respectively 85.0% and 31.4%.

Figure 1.

A, The 2-year and 5-year OS rates were respectively 96.9% and 62.5%. B, The 2-year and 5-year DFS rates were respectively 85.0% and 31.4%.

Close modal

Detection of PD-L1 existence on the surface of Sr-exosomesin in patients with OS

By immunogold labeling of Sr-exosomal PD-L1, we demonstrated PD-L1 existed in the serum exosomes isolated from patients with OS, which was also published in our previous study (26). Among these 67 patients, 27 (40.3%, 27/67) had positive PD-L1 expression in Sr-exosomes at the initial diagnosis for patients with OS by evaluation of immunogold labeling (Fig. 2). Our results illustrated that detection of positive Sr-exosomal PD-L1 by the immunogold labeling at the initial diagnosis indicated inferior outcome in their disease process during the follow-up. Of 17 patients who died of disease at the finial follow-up, 11 (64.7%) had the positive staining of Sr-exosomal PD-L1 by immunogold labeling. Furthermore, Sr-exosomal PD-L1 at the initial diagnosis using immunogold labeling was detected in 56.2% of patients who had pulmonary metastasis at the final follow-up (P = 0.014). Sr-exosomal PD-L1 at the initial diagnosis was detected in 81.8% of patients who had multiple metastasis at last follow-up (P = 0.005). However, there was no significant difference of the positive rate of Sr-exosomal PD-L1 at the initial diagnosis between patients who had the local recurrence and no local recurrence (P = 0.385; Supplementary Table S2).

Figure 2.

Detection of negative and positive Sr-exosomal PD-L1 by immunogold labeling.

Figure 2.

Detection of negative and positive Sr-exosomal PD-L1 by immunogold labeling.

Close modal

Level of Sr-exosomal PD-L1 at initial diagnosis correlates with disease status of patients with OS

We have previously reported that Sr-exosomal PD-L1 isolated from patients with OS correlated with pulmonary metastasis. To demonstrate the correlation between the level of Sr-exosomal PD-L1 at the initial diagnosis and disease status during the follow-up, we compared levels of Sr-exosomal PD-L1 of patients with different oncologic status (Table 1). Patients with pulmonary or multiple metastasis at the final follow-up had obviously higher Sr-exosomal PD-L1 levels at the initial diagnosis compared with ones without pulmonary metastasis (P = 0.013) or with single metastasis (P = 0.002; Fig. 3A and B). The level of Sr-exosomal PD-L1 of patients with OS at the initial diagnosis, who died of disease at last follow-up, was significantly higher than that of patients who were still alive at the final follow-up (P < 0.001; Fig. 3C). Meanwhile, statistically higher Sr-exosomal PD-L1 level at the initial diagnosis was observed in patients with disease event during the follow-up than that in those without disease event (P = 0.009; Fig. 3D). Nevertheless, this significant difference of level of Sr-exosomal PD-L1 at the initial diagnosis was not observed between groups of local recurrence and no local recurrence (P = 0.096; Fig. 3E).

Figure 3.

Comparision of Sr-exosomal PD-L1 levels at the initial diagnosis for patients with different disease status at the final follow-up. A, With and without pulmonary metastasis. B, Multiple and single metastasis. C, Dead status and alive status. D, With and without disease events, including metastasis and local recurrence. E, With and without local recurrence.

Figure 3.

Comparision of Sr-exosomal PD-L1 levels at the initial diagnosis for patients with different disease status at the final follow-up. A, With and without pulmonary metastasis. B, Multiple and single metastasis. C, Dead status and alive status. D, With and without disease events, including metastasis and local recurrence. E, With and without local recurrence.

Close modal

Higher level of Sr-exosomal PD-L1 expression at the initial diagnosis is associated with inferior outcome in osteosarcoma

We performed ROC curve analysis to confirm the cut-off value of exosomal PD-L1 for OS and DFS. When the value of exosomal PD-L1 was respectively 25.96 and 14.23 pg/mL for OS and DFS, the Youden J statistic values were the largest. Patients in the group of ≥14.23 pg/mL Sr-exosomal PD-L1 at the initial diagnosis had inferior DFS compared with patients in the group of <14.23 pg/mL Sr-exosomal PD-L1 at the initial diagnosis [2-year 47.8% (95% confidence interval, CI, 18.6–67.1; n = 12) vs. 77.2% (95% CI, 43.1–87.9; n = 55); 5-year 24.3% (95% CI, 12.6–45.2; n = 12) vs. 63.5% (95% CI, 42.1–77.1; n = 55), P = 0.002]. Meanwhile, patients in the group of ≥25.96 pg/mL Sr-exosomal PD-L1 at the initial diagnosis had poor OS compared with patients in the group of <25.96 pg/mL Sr-exosomal PD-L1 at the initial diagnosis [2-year 83.3% (95% CI, 64.1–90.5; n = 23) vs. 89.1% (95% CI, 68.2–97.1; n = 44); 5-year 41.7% (95% CI, 25.6–58.2; n = 23) vs. 85.4% (95% CI, 62.5–92.5; n = 44), P < 0.001; Fig. 4; Table 2].

Figure 4.

When the value of exosomal PD-L1 was respectively 14.23 and 25.96 pg/mL for DFS and OS, the Youden J statistic values were the largest. Therefore, the values of 14.23 and 25.96 pg/mL were determined as the cut-off values for predicting the DFS and OS. A, Patients in the group of ≥14.23 pg/mL Sr-exosomal PD-L1 at the initial diagnosis had inferior DFS compared with patients in the group of <14.23 pg/mL Sr-exosomal PD-L1 at the initial diagnosis. B, Patients in the group of ≥25.96 pg/mL Sr-exosomal PD-L1 at the initial diagnosis had poor OS compared with patients in the group of <25.96 pg/mL Sr-exosomal PD-L1 at the initial diagnosis.

Figure 4.

When the value of exosomal PD-L1 was respectively 14.23 and 25.96 pg/mL for DFS and OS, the Youden J statistic values were the largest. Therefore, the values of 14.23 and 25.96 pg/mL were determined as the cut-off values for predicting the DFS and OS. A, Patients in the group of ≥14.23 pg/mL Sr-exosomal PD-L1 at the initial diagnosis had inferior DFS compared with patients in the group of <14.23 pg/mL Sr-exosomal PD-L1 at the initial diagnosis. B, Patients in the group of ≥25.96 pg/mL Sr-exosomal PD-L1 at the initial diagnosis had poor OS compared with patients in the group of <25.96 pg/mL Sr-exosomal PD-L1 at the initial diagnosis.

Close modal
Table 2.

Estimated OS and DFS rates.

Overall survival
2-year5-yearP
<25.96 pg/mL (n = 12) 89.1% 85.4% <0.001 
≥25.96 pg/mL (n = 55) 83.3% 41.7%  
Overall survival
2-year5-yearP
<25.96 pg/mL (n = 12) 89.1% 85.4% <0.001 
≥25.96 pg/mL (n = 55) 83.3% 41.7%  
Disease-free survival
2-year5-yearP
<14.23 pg/mL (n = 44) 77.2% 63.5% 0.002 
≥14.23 pg/mL (n = 23) 47.8% 24.3%  
Disease-free survival
2-year5-yearP
<14.23 pg/mL (n = 44) 77.2% 63.5% 0.002 
≥14.23 pg/mL (n = 23) 47.8% 24.3%  

According to the disease status of patients at the final follow-up, all patients were divided into two groups of alive (n = 50) and dead (n = 17). The demographic parameters, clinical established prognostic factors, and Sr-exosomal PD-L1 level at the initial diagnosis were respectively analyzed in the univariate and multivariate models. The univariate analysis demonstrated patients with metastatic disease at diagnosis, lower tumor necrosis rate, higher level of Sr-exosomal PD-L1 at the initial diagnosis, and positive detection of Sr-exosomal PD-L1 at the initial diagnosis by immunogold labeling had higher rates of death, which is shown in Table 3. Furthermore, the multivariate analysis illustrated that lower tumor necrosis rate and higher level of Sr-exosomal PD-L1 at the initial diagnosis were the independent risk factors of poor survival (Table 4).

Table 3.

Prognostic analysis of patients with OS in the univariate model.

Dead groupAlive group
(n = 17)(n = 50)P
Gender 
 Male (n = 37) 10 (27.0%) 27 (73.0%) 0.784 
 Female (n = 30) 7 (23.3%) 23 (76.7%)  
Age at initial diagnosis 14.8 ± 8.6 14.3 ± 6.8 0.806 
Primary disease site 
 Femur (n = 42) 11 (26.2%) 31 (73.8%) 0.296 
 Tibia (n = 11) 2 (18.2%) 9 (81.8%)  
 Humerus (n = 8) 4 (50.0%) 4 (50.0%)  
 Fibula (n = 4) 0 (0) 4 (100.0%)  
 Pelvic (n = 2) 0 (0) 2 (100.0%)  
Stage at diagnoses 
 Localized (n = 61) 13 (21.3%) 48 (78.7%) 0.032 
 Metastatic (n = 6) 4 (66.7%) 2 (33.3%)  
Tumor size 
 ≤5 cm (n = 19) 4 (21.1%) 15 (78.9%) 0.760 
 >5 cm (n = 48) 13 (27.1%) 35 (72.9%)  
Histologic types 
 Conventional (n = 59) 16 (27.1%) 43 (72.9%) 0.551 
 Telangiectatic (n = 5) 1 (20.0%) 4 (80.0%)  
 Small cell (n = 3) 0 (0) 3 (100.0%)  
Tumor necrosis after neoadjuvant chemotherapy 
 ≥90% (n = 46) 3 (6.5%) 43 (93.5%) <0.001 
 <90% (n = 21) 14 (66.7%) 7 (33.3%)  
Sr-exosomal PD-L1 level at the initial diagnoses 22.0 ± 14.7 9.7 ± 8.3 <0.001 
Sr-exosomal PD-L1 at the initial diagnoses by immunogold labeling 
 Negative (n = 40) 6 (15.0%) 34 (85.0%) 0.024 
 Positive (n = 27) 11 (40.7%) 16 (59.3%)  
Local recurrence during follow-up 
 Yes (n = 5) 3 (60.0%) 2 (40.0%) 0.099 
 No (n = 62) 14 (22.6%) 48 (77.4%)  
Dead groupAlive group
(n = 17)(n = 50)P
Gender 
 Male (n = 37) 10 (27.0%) 27 (73.0%) 0.784 
 Female (n = 30) 7 (23.3%) 23 (76.7%)  
Age at initial diagnosis 14.8 ± 8.6 14.3 ± 6.8 0.806 
Primary disease site 
 Femur (n = 42) 11 (26.2%) 31 (73.8%) 0.296 
 Tibia (n = 11) 2 (18.2%) 9 (81.8%)  
 Humerus (n = 8) 4 (50.0%) 4 (50.0%)  
 Fibula (n = 4) 0 (0) 4 (100.0%)  
 Pelvic (n = 2) 0 (0) 2 (100.0%)  
Stage at diagnoses 
 Localized (n = 61) 13 (21.3%) 48 (78.7%) 0.032 
 Metastatic (n = 6) 4 (66.7%) 2 (33.3%)  
Tumor size 
 ≤5 cm (n = 19) 4 (21.1%) 15 (78.9%) 0.760 
 >5 cm (n = 48) 13 (27.1%) 35 (72.9%)  
Histologic types 
 Conventional (n = 59) 16 (27.1%) 43 (72.9%) 0.551 
 Telangiectatic (n = 5) 1 (20.0%) 4 (80.0%)  
 Small cell (n = 3) 0 (0) 3 (100.0%)  
Tumor necrosis after neoadjuvant chemotherapy 
 ≥90% (n = 46) 3 (6.5%) 43 (93.5%) <0.001 
 <90% (n = 21) 14 (66.7%) 7 (33.3%)  
Sr-exosomal PD-L1 level at the initial diagnoses 22.0 ± 14.7 9.7 ± 8.3 <0.001 
Sr-exosomal PD-L1 at the initial diagnoses by immunogold labeling 
 Negative (n = 40) 6 (15.0%) 34 (85.0%) 0.024 
 Positive (n = 27) 11 (40.7%) 16 (59.3%)  
Local recurrence during follow-up 
 Yes (n = 5) 3 (60.0%) 2 (40.0%) 0.099 
 No (n = 62) 14 (22.6%) 48 (77.4%)  

Note: Bold values indicate P < 0.05.

Table 4.

Prognostic analysis of patients with OS in the multivariate model.

Adjusted OR
Risk factors(95% confidence interval)P
Gender (male/female) 0.349 (0.026–4.621) P = 0.425 
Age at initial diagnosis 0.931 (0.787–1.100) P = 0.400 
Primary disease site (femur/tibia/humerus/fibula/pelvic) 0.171 (0.017–1.747) P = 0.136 
Stage at diagnosis (localized/metastatic) 1.097 (0.031–38.202) P = 0.959 
Tumor size (≤5 cm/>5 cm) 0.671 (0.029–15.563) P = 0.804 
Histologic types 412.257 (0.0001–2.718E26) P = 0.830 
 (conventional/telangiectatic/small cell)   
Tumor necrosis after neoadjuvant chemotherapy 0.001 (0.0001–0.201) P = 0.017 
 (≥90%/<90%)   
Sr-exosomal PD-L1 level at the initial diagnoses 0.611 (0.404–0.924) P = 0.019 
Sr-exosomal PD-L1 at the initial diagnoses by immunogold labeling (negative/positive) 122.268 (0.724–20,652.938) P = 0.066 
Local recurrence during follow-up (yes/no) 10.703 (0.093–1,230.266) P = 0.327 
Adjusted OR
Risk factors(95% confidence interval)P
Gender (male/female) 0.349 (0.026–4.621) P = 0.425 
Age at initial diagnosis 0.931 (0.787–1.100) P = 0.400 
Primary disease site (femur/tibia/humerus/fibula/pelvic) 0.171 (0.017–1.747) P = 0.136 
Stage at diagnosis (localized/metastatic) 1.097 (0.031–38.202) P = 0.959 
Tumor size (≤5 cm/>5 cm) 0.671 (0.029–15.563) P = 0.804 
Histologic types 412.257 (0.0001–2.718E26) P = 0.830 
 (conventional/telangiectatic/small cell)   
Tumor necrosis after neoadjuvant chemotherapy 0.001 (0.0001–0.201) P = 0.017 
 (≥90%/<90%)   
Sr-exosomal PD-L1 level at the initial diagnoses 0.611 (0.404–0.924) P = 0.019 
Sr-exosomal PD-L1 at the initial diagnoses by immunogold labeling (negative/positive) 122.268 (0.724–20,652.938) P = 0.066 
Local recurrence during follow-up (yes/no) 10.703 (0.093–1,230.266) P = 0.327 

Note: Bold values indicate P < 0.05.

For patients with osteosarcoma, refractory risk stratification depends on the presence of radiologically detected metastatic disease and primary tumor location, i.e., spine or pelvis (27, 28). Currently, there is fewer validated tools available at the initial diagnosis to identify patients with localized disease at high risk of relapse during the follow-up. Several prognostic factors have been reported to predict the oncologic prognosis of patients with osteosarcoma (29–34). Despite the importance of immunologic mechanism in osteosarcoma, the correlation between level of circulating exosomal PD-L1 and oncologic outcome has not been systematically evaluated for these patients (35). The aim of current study was to determine whether patients with newly diagnosed osteosarcoma, who had a higher level of circulating exosomal PD-L1 at the initial diagnosis, would undergo an inferior outcome in the future. In addition, correlations between level of exosomal PD-L1 at the initial diagnosis and clinical features of disease were also assessed.

It is difficult to predict the prognosis of patients with OS at the initial diagnosis before treatment due to lack of efficient prognostic parameters. It is difficult to predict the prognosis of patients with OS at the initial diagnosis before treatment due to lack of efficient prognostic parameters. In the literature, risk factor of metastatic disease at diagnosis was reported as the predictor of survival of patients with osteosarcoma. Because of small number of patients with metastatic disease at diagnosis, it was not the independent risk factor of poor survival in the multivariate analysis in the current study. However, the results of our previous and current study illustrated there was a tendency of correlation between the SrExPDL1 at the initial diagnosis and metastasis at initial diagnosis. Meanwhile, in the current study, using immunogold labeling of Sr-exosomal PD-L1, we detected the positive expression of Sr-exosomal PD-L1 isolated from the peripheral blood samples in 40.3% of patients with osteosarcoma. In addition, detectable Sr-exosomal PD-L1 had a tendency of significant association with metastatic disease, survival status, and disease event. These results demonstrated that, among patients with newly diagnosed osteosarcoma, detection of higher Sr-exosomal PD-L1 at the initial diagnosis was associated with an inferior outcome and declared that Sr-exosomal PD-L1 at the initial diagnosis before treatment showed promise for predicting the prognosis and monitoring the disease progression during the follow-up. Furthermore, an increasing risk of disease event and death during the follow-up was obviously associated with a higher Sr-exosomal PD-L1 level at the initial diagnosis before chemotherapy and surgery. In the current study, we evaluated the relationship between the level of circulating exosomal PD-L1 at the initial diagnosis before treatment and oncologic outcome during the follow-up. The result of current study revealed a highly significant association between the high level of Sr-exosomal PD-L1 at the initial diagnosis and clinicopathologic disease markers such as metastatic disease at diagnosis, tumor necrosis after neoadjuvant chemotherapy, OS, and DFS rates. Our results of mean follow-up of 47.6 months showed patients with OS, who died of disease at the final follow-up, had the higher level of Sr-exosomal PD-L1 at the initial diagnosis, which compared with that of patients who were still alive at the last follow-up. It also demonstrated higher Sr-exosomal PD-L1 level of patients with OS at the initial diagnosis had the significant relationship with the poor prognosis. Likewise, statistically higher Sr-exosomal PD-L1 level at the initial diagnosis was observed in patients with disease event during the follow-up than that in those without disease event during the follow-up. However, the level of Sr-exosomal PD-L1 at the initial diagnosis had no association with local recurrence during the disease process.

Although the exosomal PD-L1 isolated from the peripheral blood samples has proven useful for patients with carcinomas, there have been relatively few studies evaluating the utility of Sr-exosomal PD-L1 as a biomarker in patients with sarcomas (2, 3, 24). Our study demonstrated the feasibility of detecting exosomal PD-L1 at the initial diagnosis for prediction of the survival of patients with osteosarcoma. In the previous study, our team first confirmed the existence of PD-L1 in exosomes which were isolated from the serum of patients with osteosarcoma and elucidated Sr-exosome derived from patients with OS promoted the pulmonary metastasis in metastatic models (26). Furthermore, the current result also showed Sr-exosomal PD-L1 level at the initial diagnosis before treatment, in those who had pulmonary metastasis at the final follow-up, was statistically higher compared with those without pulmonary metastasis at the last follow-up. Our findings were concordant with the opinion that tumor cells evaded the immune surveillance not only by upregulating cellular PD-L1 expression, but the circulating exosomal PD-L1, which was reported in the literature (11, 25, 36–39). Of note, emerging evidence demonstrates that tumor-derived exosomes containing PD-L1 can recapitulate the effect of cell-surface PD-L1 and reveals a significant association between levels of circulating exosomal PD-L1 and rate of response to immunotherapy (11, 36–38, 40). Furthermore, refractory osteosarcoma has a poor response to immunotherapy due to cold immune microenviroment and whether it can improve the response to immunotherapy for patients with osteosarcoma through modulation of circulating exosomal PD-L1 is an interesting and noteworthy topic in the future (41).

On the basis of our findings in the current and previous study, there was no correlation and consistency between tumoral PD-L1 by IHC and Sr-exosomal PD-L1 by ELISA at initial diagnosis (20, 26). In the current study, our results showed that Sr-exosomal PD-L1 could be detected by ELISA in the most patients with osteosarcoma. However, the positive expression rate of tumoral PD-L1 by IHC was only 35.5%, which was reported in our previous study (20). Meanwhile, Li and colleagues also reported Exo-PD-L1 was not associated with PD-L1 IHC status for patients with non–small cell lung cancer (25). Theoretically, all immunosuppressive cells, supportive cells in the microenvironment, and osteosarcoma cells contribute to the systematic immunosuppression in patients with OS and those cells can release the exosomal PD-L1 into the blood, which contribute to the pool of Sr-exosomal PD-L1 in the blood. On the basis of the evidence, we would like to propose an opinion that exosomes isolated from the serum of patients are a heterogeneous mixture of both tumor cell–derived, immune cell–derived, normal cell–derived, and other cells in the microenviroment-derived exosomes. It is a comprehensive reflection of immune status of the whole body. Thus, it is easy to understand why there is no consistency between tumoral PD-L1 and Sr-exosomal PD-L1.

It has been reported that high level of PD-L1 expression in the tumor had significant association with poor prognosis. Koirala reported that PD-L1 expression was significantly associated with poorer 5-year event-free survival (23). However, the impact of exosomal PD-L1 on the sarcomagenesis is unclear. Our previous study has demonstrated the presence of PD-L1 on the surface of exosomes isolated from serum of patients with OS and illustrated exosomal PD-L1 derived from osteosarcoma stimulated the progression of pulmonary metastasis (26). In the current study, we focused on the prognostic value of Sr-exosomal PD-L1 at the initial diagnosis and aimed to elucidate the relationship between the level of Sr-exosomal PD-L1 at the initial diagnosis and survival status during the follow-up for patients with OS. For DFS and OS of patients with osteosarcoma, the cutoff values of Sr-exosomal PD-L1 of 14.23 and 25.96 pg/mL at the initial diagnosis before treatment, which could accurately predict the DFS and OS, were decided with reference to the largest Youden J statistic values. These findings proved the role of Sr-exosomal PD-L1 at the initial diagnosis as the promising biomarker for predicting the survival of patients with osteosarcoma during follow-up. Nevertheless, in the further study with larger number of patients with osteosarcoma, evaluation of Sr-exosomal PD-L1 is needed to validate their potential role as the monitoring biomarker.

All samples analyzed in our study were collected as part of a prospective study of liquid biopsy for sarcoma. Thus, the sample collection, exosome extraction, and handling strategies used in the current study were exclusive for maintaining the integrity of exosome samples. Our study was therefore the first large cohort to demonstrate that qualitative and quantitative Sr-exosomal PD-L1 detection at the initial diagnosis provided prognostic information for patients with osteosarcoma during follow-up. To promote the current finding into the clinical application, we are further designing a larger prospective validation study which evaluates the clinical utility of longitudinal Sr-exosomal PD-L1 during the therapeutic process. We will also elucidate whether Sr-exosomal PD-L1 of patients with osteosarcoma could provide a useful prognostic marker of chemoresponsiveness for patients with OS. Regrettably, this study also had several limitations. First, it should be noted that the number of cases in the current cohort was still limited and we could not accurately analyze the relationship between Sr-exosomal PD-L1 level at initial diagnosis and disease prognosis. Second, the longitudinal change of Sr-exosomal PD-L1 was not to be analyzed in the current cohort. Although the dynamic change of Sr-exosomal PD-L1 expression during therapeutic course has been evaluated between pretreatment and posttreatment in the previous study, the case number was still small and the further validation in the next prospective study needs to be implemented (26).

In conclusion, the use of liquid biopsy of circulating exosomal PD-L1 at the initial diagnosis provides a robust means of predicting the prognosis for patients with newly diagnosed osteosarcoma. Detection of Sr-exosomal PD-L1 at the initial diagnosis in these patients provides predicted information that may ultimately be used to improve risk stratification approaches.

No disclosures were reported.

J. Wang: Conceptualization, data curation, writing–original draft. W. Guo: Supervision, project administration. X. Wang: Supervision, methodology. X. Tang: Data curation, validation. X. Sun: Data curation. T. Ren: Data curation.

This work was supported by Peking University People's Hospital Research and Development Funds (nos. RDG2021–02 and RDL2022–14), the Natural Science Foundation of China (no. 82272947), and Funds of Beijing Shijitan Hospital (no. 2022-C04).

The publication costs of this article were defrayed in part by the payment of publication fees. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734.

Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).

1.
Melo
SA
,
Luecke
LB
,
Kahlert
C
,
Fernandez
AF
,
Gammon
ST
,
Kaye
J
, et al
.
Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
.
Nature
2015
;
523
:
177
82
.
2.
Chen
G
,
Huang
AC
,
Zhang
W
,
Zhang
G
,
Wu
M
,
Xu
W
, et al
.
Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response
.
Nature
2018
;
560
:
382
6
.
3.
Theodoraki
MN
,
Yerneni
SS
,
Hoffmann
TK
,
Gooding
WE
,
Whiteside
TL
.
Clinical significance of PD-L1 (+) exosomes in plasma of head and neck cancer patients
.
Clin Cancer Res
2018
;
24
:
896
905
.
4.
Li
Y
,
Zheng
Q
,
Bao
C
,
Li
S
,
Guo
W
,
Zhao
J
, et al
.
Circular RNA is enriched and stable in exosomes: a promising biomarker for cancer diagnosis
.
Cell Res
2015
;
25
:
981
4
.
5.
Di Guardo
L
,
Randon
G
,
Corti
F
,
Vallacchi
V
,
Raimondi
A
,
Fuca
G
, et al
.
Liquid biopsy and radiological response predict outcomes following discontinuation of targeted therapy in patients with BRAF mutated melanoma
.
Oncologist
2021
;
26
:
1079
84
.
6.
Hettmer
S
,
Linardic
CM
,
Kelsey
A
,
Rudzinski
ER
,
Vokuhl
C
,
Selfe
J
, et al
.
Molecular testing of rhabdomyosarcoma in clinical trials to improve risk stratification and outcome: a consensus view from European paediatric soft tissue sarcoma study group, children's oncology group and cooperative weichteilsarkom-studiengruppe
.
Eur J Cancer
2022
;
172
:
367
86
.
7.
Aran
V
,
Devalle
S
,
Meohas
W
,
Heringer
M
,
Cunha Caruso
A
,
Pinheiro Aguiar
D
, et al
.
Osteosarcoma, chondrosarcoma and ewing sarcoma: clinical aspects, biomarker discovery and liquid biopsy
.
Crit Rev Oncol Hematol
2021
;
162
:
103340
.
8.
Shulman
DS
,
Klega
K
,
Imamovic-Tuco
A
,
Clapp
A
,
Nag
A
,
Thorner
AR
, et al
.
Detection of circulating tumour DNA is associated with inferior outcomes in ewing sarcoma and osteosarcoma: a report from the children's oncology group
.
Br J Cancer
2018
;
119
:
615
21
.
9.
Pascual
J
,
Attard
G
,
Bidard
FC
,
Curigliano
G
,
De Mattos-Arruda
L
,
Diehn
M
, et al
.
ESMO recommendations on the use of circulating tumour DNA assays for patients with cancer: a report from the ESMO precision medicine working group
.
Ann Oncol
2022
;
33
:
750
68
.
10.
Tkach
M
,
Thery
C
.
Communication by extracellular vesicles: where we are and where we need to go
.
Cell
2016
;
164
:
1226
32
.
11.
Qiu
Y
,
Yang
Y
,
Yang
R
,
Liu
C
,
Hsu
JM
,
Jiang
Z
, et al
.
Activated T cell-derived exosomal PD-1 attenuates PD-L1-induced immune dysfunction in triple-negative breast cancer
.
Oncogene
2021
;
40
:
4992
5001
.
12.
Ayala-Mar
S
,
Donoso-Quezada
J
,
Gonzalez-Valdez
J
.
Clinical implications of exosomal PD-L1 in cancer immunotherapy
.
J Immunol Res
2021
;
2021
:
8839978
.
13.
Fan
Y
,
Che
X
,
Qu
J
,
Hou
K
,
Wen
T
,
Li
Z
, et al
.
Exosomal PD-L1 retains immunosuppressive activity and is associated with gastric cancer prognosis
.
Ann Surg Oncol
2019
;
26
:
3745
55
.
14.
Zhang
P
,
Samuel
G
,
Crow
J
,
Godwin
AK
,
Zeng
Y
.
Molecular assessment of circulating exosomes toward liquid biopsy diagnosis of ewing sarcoma family of tumors
.
Transl Res
2018
;
201
:
136
53
.
15.
Li
X
,
Wang
S
,
Zhu
R
,
Li
H
,
Han
Q
,
Zhao
RC
.
Lung tumor exosomes induce a pro-inflammatory phenotype in mesenchymal stem cells via NFkappaB-TLR signaling pathway
.
J Hematol Oncol
2016
;
9
:
42
.
16.
Xiao
D
,
Barry
S
,
Kmetz
D
,
Egger
M
,
Pan
J
,
Rai
SN
, et al
.
Melanoma cell-derived exosomes promote epithelial-mesenchymal transition in primary melanocytes through paracrine/autocrine signaling in the tumor microenvironment
.
Cancer Lett
2016
;
376
:
318
27
.
17.
Hoshino
A
,
Kim
HS
,
Bojmar
L
,
Gyan
KE
,
Cioffi
M
,
Hernandez
J
, et al
.
Extracellular vesicle and particle biomarkers define multiple human cancers
.
Cell
2020
;
182
:
1044
61
.
18.
Suehara
Y
,
Alex
D
,
Bowman
A
,
Middha
S
,
Zehir
A
,
Chakravarty
D
, et al
.
Clinical genomic sequencing of pediatric and adult osteosarcoma reveals distinct molecular subsets with potentially targetable alterations
.
Clin Cancer Res
2019
;
25
:
6346
56
.
19.
Xie
L
,
Yang
Y
,
Guo
W
,
Che
D
,
Xu
J
,
Sun
X
, et al
.
The clinical implications of tumor mutational burden in osteosarcoma
.
Front Oncol
2020
;
10
:
595527
.
20.
Zheng
B
,
Ren
T
,
Huang
Y
,
Sun
K
,
Wang
S
,
Bao
X
, et al
.
PD-1 axis expression in musculoskeletal tumors and antitumor effect of nivolumab in osteosarcoma model of humanized mouse
.
J Hematol Oncol
2018
;
11
:
16
.
21.
Zhang
Y
,
Ma
Q
,
Liu
T
,
Ke
S
,
Jiang
K
,
Wen
Y
, et al
.
Tumor self-seeding by circulating tumor cells in nude mouse models of human osteosarcoma and a preliminary study of its mechanisms
.
J Cancer Res Clin Oncol
2014
;
140
:
329
40
.
22.
Freeman
GJ
,
Long
AJ
,
Iwai
Y
,
Bourque
K
,
Chernova
T
,
Nishimura
H
, et al
.
Engagement of the PD-1 immunoinhibitory receptor by a novel B7 family member leads to negative regulation of lymphocyte activation
.
J Exp Med
2000
;
192
:
1027
34
.
23.
Koirala
P
,
Roth
ME
,
Gill
J
,
Piperdi
S
,
Chinai
JM
,
Geller
DS
, et al
.
Immune infiltration and PD-L1 expression in the tumor microenvironment are prognostic in osteosarcoma
.
Sci Rep
2016
;
6
:
30093
.
24.
Poggio
M
,
Hu
T
,
Pai
CC
,
Chu
B
,
Belair
CD
,
Chang
A
, et al
.
Suppression of exosomal PD-L1 induces systemic anti-tumor immunity and memory
.
Cell
2019
;
177
:
414
27
.
25.
Li
C
,
Zhi
C
,
Liang
W
,
Wang
X
,
Chen
X
,
Lv
T
, et al
.
Clinical significance of PD-L1 expression in serum-derived exosomes in NSCLC patients
.
J Transl Med
2019
;
17
:
355
.
26.
Wang
J
,
Zhang
H
,
Sun
X
,
Wang
X
,
Ren
T
,
Huang
Y
, et al
.
Exosomal PD-L1 and N-cadherin predict pulmonary metastasis progression for osteosarcoma patients
.
J Nanobiotechnology
2020
;
18
:
151
.
27.
Saab
R
,
Rao
BN
,
Rodriguez-Galindo
C
,
Billups
CA
,
Fortenberry
TN
,
Daw
NC
.
Osteosarcoma of the pelvis in children and young adults: the St. Jude Children's Research Hospital experience
.
Cancer
2005
;
103
:
1468
74
.
28.
Bielack
SS
,
Kempf-Bielack
B
,
Delling
G
,
Exner
GU
,
Flege
S
,
Helmke
K
, et al
.
Prognostic factors in high-grade osteosarcoma of the extremities or trunk: an analysis of 1,702 patients treated on neoadjuvant cooperative osteosarcoma study group protocols
.
J Clin Oncol
2002
;
20
:
776
90
.
29.
Garimella
R
,
Washington
L
,
Isaacson
J
,
Vallejo
J
,
Spence
M
,
Tawfik
O
, et al
.
Extracellular membrane vesicles derived from 143B osteosarcoma cells contain pro-osteoclastogenic cargo: a novel communication mechanism in osteosarcoma bone microenvironment
.
Transl Oncol
2014
;
7
:
331
40
.
30.
Torreggiani
E
,
Roncuzzi
L
,
Perut
F
,
Zini
N
,
Baldini
N
.
Multimodal transfer of MDR by exosomes in human osteosarcoma
.
Int J Oncol
2016
;
49
:
189
96
.
31.
Troyer
RM
,
Ruby
CE
,
Goodall
CP
,
Yang
L
,
Maier
CS
,
Albarqi
HA
, et al
.
Exosomes from osteosarcoma and normal osteoblast differ in proteomic cargo and immunomodulatory effects on T cells
.
Exp Cell Res
2017
;
358
:
369
76
.
32.
Suzuki
S
,
Kulkarni
AB
.
Extracellular heat shock protein HSP90beta secreted by MG63 osteosarcoma cells inhibits activation of latent TGF-beta1
.
Biochem Biophys Res Commun
2010
;
398
:
525
31
.
33.
Shimbo
K
,
Miyaki
S
,
Ishitobi
H
,
Kato
Y
,
Kubo
T
,
Shimose
S
, et al
.
Exosome-formed synthetic microRNA-143 is transferred to osteosarcoma cells and inhibits their migration
.
Biochem Biophys Res Commun
2014
;
445
:
381
7
.
34.
Gong
L
,
Bao
Q
,
Hu
C
,
Wang
J
,
Zhou
Q
,
Wei
L
, et al
.
Exosomal miR-675 from metastatic osteosarcoma promotes cell migration and invasion by targeting CALN1
.
Biochem Biophys Res Commun
2018
;
500
:
170
6
.
35.
Chen
CL
,
Xie
L
,
Ren
TT
,
Huang
Y
,
Xu
J
,
Guo
W
.
Immunotherapy for osteosarcoma: fundamental mechanism, rationale, and recent breakthroughs
.
Cancer Lett
2021
;
500
:
1
10
.
36.
Xiong
W
,
Gao
Y
,
Wei
W
,
Zhang
J
.
Extracellular and nuclear PD-L1 in modulating cancer immunotherapy
.
Trends Cancer
2021
;
7
:
837
46
.
37.
Morrissey
SM
,
Yan
J
.
Exosomal PD-L1: roles in tumor progression and immunotherapy
.
Trends Cancer
2020
;
6
:
550
8
.
38.
Wang
G
,
Xie
L
,
Li
B
,
Sang
W
,
Yan
J
,
Li
J
, et al
.
A nanounit strategy reverses immune suppression of exosomal PD-L1 and is associated with enhanced ferroptosis
.
Nat Commun
2021
;
12
:
5733
.
39.
Xie
F
,
Xu
M
,
Lu
J
,
Mao
L
,
Wang
S
.
The role of exosomal PD-L1 in tumor progression and immunotherapy
.
Mol Cancer
2019
;
18
:
146
.
40.
Yin
Z
,
Yu
M
,
Ma
T
,
Zhang
C
,
Huang
S
,
Karimzadeh
MR
, et al
.
Mechanisms underlying low-clinical responses to PD-1/PD-L1 blocking antibodies in immunotherapy of cancer: a key role of exosomal PD-L1
.
J Immunother Cancer
2021
;
9
:
e001698
.
41.
Galon
J
,
Bruni
D
.
Approaches to treat immune hot, altered and cold tumours with combination immunotherapies
.
Nat Rev Drug Discov
2019
;
18
:
197
218
.