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Erschienen in: Clinical Sarcoma Research 1/2020

Open Access 01.12.2020 | Research

The immune microenvironment of uterine adenosarcomas

verfasst von: Ali Mohammed Refaat Ali, Jen-Wei Tsai, Cheuk Hong Leung, Heather Lin, Vinod Ravi, Anthony P. Conley, Alexander J. Lazar, Wei-Lien Wang, Michael J. Nathenson

Erschienen in: Clinical Sarcoma Research | Ausgabe 1/2020

Abstract

Background

Uterine adenosarcoma (UA) is an extremely rare sarcoma subtype. There has been limited evaluation of the immune microenvironment in these tumors. The objective of this study is to examine and describe the immune infiltrate and PD-1/PD-L1 expression in UA and to correlate these changes in the tumor micro-environment with the overall survival status or the disease-free survival status (DFSS), respectively.

Methods

Patients (pts) treated at our center from 1982 to 2014 with UA were identified. Fifteen cases had tumor paraffin-embedded blocks available. Immunohistochemistry studies for CD3, CD8, FOXP3, CD163, PD-1 and PD-L1 (clone 22C3) were performed. Image analysis was used to assess the density (cells/mm2), except in PD-L1, where the percentage of membranous staining on tumor cells was noted.

Results

Immune infiltrate analysis median (range) density in cells/mm2 varied broadly: CD3 178 (15–802); CD8 117 (11–661); FoxP3 4.8 (0.2–82); CD163 791 (264–1861); and PD1 5 (1–65). 3 cases had rare (1%) PD-L1 tumor membranous labeling. The reports yielded that ten pts were alive, and 5 were dead. Pts who were alive had significant higher CD3 and CD8 median densities in tumors than those who were dead (p = 0.040). There was no correlation between DFSS and CD3 or CD8 median densities. Patients who had no local recurrence had significantly higher CD3 and CD8 median densities in tumors than those who had local recurrence (p = 0.040).

Conclusions

In conclusion, this is the first report characterizing the presence of immune infiltrate and PD-1/PD-L1 expression in UA. CD3+ CD8+ T-cells density may be prognostic. The immune-responsiveness of UA needs to be further investigated in a larger study.
Hinweise

Publisher's Note

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Abkürzungen
UA
Uterine adenosarcoma
DFSS
Disease-free survival status
PD
1-Programmed death-1
PD-L1
Programmed death ligand-1
TILs
Tumor infiltrating lymphocytes
MHC
Major histocompatibility complex
OS
Overall survival
DFS
Disease-free survival
LRFS
Local recurrence-free survival
SO
Sarcomatous overgrowth
MI
Myometrial invasion
LVI
Lymphovascular invasion
ER
Estrogen receptor
PR
Progesterone receptor

Background

Uterine adenosarcoma is a rare biphasic uterine sarcoma, composed of both benign, but atypical, glandular epithelial and malignant mesenchymal sarcomatous components and most often occurring in adult women. Standard treatment of uterine adenosarcoma is surgical resection through hysterectomy and bilateral salpingo-oophorectomy [13]. Overall survival and rate of recurrence are significantly influenced by the presence of sarcomatous overgrowth (sarcomatous component of more than 25% of the tumor), as well as myometrial invasion [46]. Stage, resection status, age, lymphovascular invasion, tumor size, mitosis number, and lymph nodes involvement are also prognostic [2, 4, 7]. Treatment options for patients with recurrent or metastatic disease are limited.
Immunotherapy, particularly with blockade of the PD-1/PD-L1 pathway (programmed death-1/programmed death ligand-1) has proven effective in numerous malignancies, such as malignant melanoma, non-small cell lung cancer, renal cell carcinoma, and Hodgkin’s Lymphoma, though results are still limited for sarcomas [8]. Immunotherapy trials in soft tissue and bone sarcomas, such as SARC 028, have occasionally reported responses, particularly in one patient with uterine leiomyosarcoma. Unfortunately, most sarcoma patients do not respond to immunotherapy [911]. It is critically important to understand the tumor immunologic microenvironment, which may help determine which sarcomas could respond to immunotherapy. The immune microenvironment of uterine adenosarcoma previously poorly examined. Tumor infiltrating lymphocytes (TILs) and PD-1/PD-L1 expression have been reported in soft tissue and bone sarcomas, including some uterine leiomyosarcomas and undifferentiated uterine sarcomas [1215]. Pre-clinical data in other sarcoma suggest that tumor TILs or PD-1/PD-L1 expression may represent an important prognostic factor in sarcomas [12, 13]. Loss of tumor cell MHC expression may represent one possible resistance mechanisms to immunotherapy in sarcoma patients [1618]. A 2nd mechanism of resistant is the inhibitory effect of tumor infiltrating macrophages on the tumor immunologic micro-environment [19]. Undifferentiated pleomorphic sarcoma may have the most sensitive sarcoma tumor microenvironment to immunotherapy [20]. These facts have led to the increased interest in characterizing the immune microenvironment in uterine adenosarcoma, with the hope to better understand the microenvironment of these tumors and to then improve treatment and outcomes.
In this study, our objective was to examine the immune infiltrate in terms of T cells and macrophages, and PD-1/PD-L1 expression in uterine adenosarcoma and relate it to the overall survival, disease-free survival, and clinical prognostic factors.

Materials and methods

With the IRB’s approval, a search was conducted of the Tumor registry for patients with uterine or extra-uterine adenosarcoma treated at a MD Anderson cancer treatment center from August 1982 to December 2014. One hundred and sixty-five uterine adenosarcoma patients were identified, though only fifteen cases had tumor paraffin-embedded blocks available, the latter of which represented the study population. Tissue was obtained from hysterectomy or biopsy, and samples were treatment naïve. A tissue microarray of the fifteen cases was created. Immunohistochemistry study was conducted to examine for the presence of overall T cell lymphocytes (CD3), cytotoxic T-cells (CD8), regulatory T cells (FOXP3) and histiocytes/macrophages (CD163). Additional immunohistochemistry was performed to examine for T cell expression of PD-1 (program death) and tumoral expression of PD-L1 (program death ligand). For the evaluation of PD-L1 expression, an FDA approved assay Dako PharmDx anti-PD-L1 clone 22C3 antibody was used. This assay was chosen given it wide use and overall consistency and comparability to most anti-PD-L1 antibody clones, (PMID: 31409885, 27541827). Unstained slides were prepared and immunohistochemical studies were performed using an autostainer (Leica Biosystems, Bond III Autostainer, Buffalo Grove IL) with anti-CD3 (Rabbit polyclonal, 1:100, Dako), anti-CD8 (C8/144B, Thermo Scientific, 1:25), anti-FOXP3 (206D, Biolegend, 1:50), anti-CD163(10D6, Leica Biosystems, 1:100), anti-PD-1 (EPR4877(2), Abcam, 1:250) and anti-PD-L1 (clone 22C3, Agilent Technologies, Carpinteria, CA) markers. Image analysis on the entire tissue microarray core using Aperio analytic image software (Leica Biosystems) was performed. Lymphocytic infiltrate of the above markers together with histiocytic infiltrate were quantified as density (Number/mm2). For PD-L1, the percentage of membranous staining on tumor cells was determined. The areas selected for the analysis were the ones mostly representative of the tumor. The clinical and pathological characteristics of each of these uterine adenosarcoma patients were collected.
The exact Wilcoxon rank sum test was used to compare the continuous variables between patient characteristics’ subgroups [21]. The correlation between two continuous factors was measured by Spearman correlation [22]. Overall survival (OS) was defined as “from diagnosis to the time of death” or “to the time of last contact.” Disease-free survival (DFS) was defined as “from time of surgery to the time of recurrence or death,” whichever was earlier, or “to the time of last contact.” Local recurrence-free survival (LRFS) was defined as “from the time of surgery to the time of local recurrence or death,” whichever was earlier, or “to the time of last contact.” Given the small numbers of events, the associations between the immune infiltrates and time-to-events outcomes were not assessed using time-to-event analysis approaches. Instead, the exact Wilcoxon rank sum test was used to compare the immune infiltrate levels between the patients who either experienced an event and who had not experienced an event by the time of the last follow-up. Two-sided p-value < 0.05 was considered statistically significant. All statistical analyses were performed in SAS 9.4.

Results

Clinical and pathological characteristics

Clinical and pathological characteristics of the 15 patients included in this study are described in Table 1, and include age, tumor size, follow-up, sarcomatous overgrowth, myometrial invasion, lymphovascular invasion, stage, and estrogen and progesterone receptor status. The age distribution of adenosarcoma varied from 26 to 61 years with a mean age of diagnosis of 48 years. Fourteen patients at diagnosis had a FIGO stage I where the tumor was limited to the uterine corpus. Ten patients had sarcomatous overgrowth (SO), and nine patients had myometrial invasion (MI). None of the fifteen patients had lymphovascular (LVI) invasion. None of the fifteen patients had lymph node involvement. Only four patients had tumors that were negative for ER and PR (Table 1). At the last follow-up, 10 patients were alive and 5 patients were dead; 9 patients had no recurrence and 6 patients had disease recurrence, of the disease recurrences 5 patients had local recurrence and one patient had distant recurrence (Table 1).
Table 1
Patients pathologic characteristics
Patient characteristics
Median (min, max)
Age of diagnosis
48 years (26, 61)
Tumor size
5.9 cm (2.5, 11)
Follow-up period
6.6 years (2.4, 10.8)
 
n (%)
ER
 Negative
4 (27)
 Positive
11 (73)
PR
 Negative
4 (27)
 Positive
11 (73)
Myometrial invasion
 Absent
6 (40)
 Present
9 (60)
Lymphovascular invasion
 Absent
15 (100)
 Present
0 (0)
Sarcomatous overgrowth
 Absent
5 (33)
 Present
10 (67)
Lymph node involvement
 No
15 (100)
Figo stage overall
 I
14 (93)
 II/III/IV
1 (7)
Vital status
 Alive
10 (67)
 Dead
5 (33)
Disease-free survival status
 Disease-free
9 (60)
 Disease recurred
6 (40)
Local recurrence-free survival status
 Local recurrence-free
10 (67)
 Local recurrence
5 (33)

Immune Infiltrates

The Immune infiltrate analysis median (range) density in cells/mm2 varied broadly for CD3, CD8, FoxP3, CD163, PD-1, and PD-L1. Table 2 shows the immune infiltrate minimum, median, maximum, mean, and standard deviation for each of these immune infiltrates. For example, the median and range for CD3 was 178 (15–802), CD8 was 117 (11–661), FoxP3 was 4.8 (0.2–82), CD163 was 791 (264–1861), and for PD1 was 5 (1–65) (Table 2). Three cases had rare (1%) PD-L1 tumor membranous labeling. Figure 1 shows examples of IHC staining for each of these immune infiltrates.
Table 2
Immune infiltrate characteristics
Factor
n
Min
Median
Max
Mean
SD
CD3
15
15
178
802
248.8
226.2
CD8
15
11
117
661
151.5
162
FoxP3
15
0.2
4.8
82
12.2
21.6
CD163
15
264
791
1861
918.9
547.1
PD1
15
1
5
65
11.5
16.9
The exact Wilcoxon rank sum test was used to compare the continuous variables between patient characteristics’ subgroups

Correlation with OS, DFS, LRFS

Patients who were alive with disease, alive with NED, or censored at last follow-up had a significantly higher CD3 and CD8 median densities in their tumors than those who were dead of disease (p = 0.040). (Table 3, Fig. 2). There was no correlation between median FoxP3 and CD163 densities, or PD-1 expression and overall survival status. There was no correlation between disease-free survival status and CD3 or CD8 median densities (Table 4). There was no correlation between median FoxP3 and CD163 densities, or PD-1 expression and disease-free survival status. However, patients who were alive and had no local recurrence at the last follow-up had significantly higher CD3 and CD8 median densities in their tumors than those who were alive and had local recurrence (p = 0.040). (Table 5, Fig. 3). There was no correlation between median FoxP3 or CD163 density, or PD-1 expression and local recurrence-free survival.
Table 3
Comparison of the immune infiltrate by overall survival statuses
Factor
Overall, median (min, max)
Alive (n1 = 10), median (min, max)
Dead (n2 = 5), median (min, max)
p-value
CD3
178 (15, 802)
297 (59, 802)
78 (15, 143)
0.040
CD8
117 (11, 661)
165 (11, 661)
37 (15, 133)
0.040
FoxP3
5 (0, 82)
7 (0, 82)
1 (0, 14)
0.322
CD163
791 (264, 1861)
834 (399, 1861)
791 (264, 1807)
0.953
PD1
5 (1, 65)
5 (1, 65)
5 (1, 23)
0.839
The exact Wilcoxon rank sum test was used to compare the continuous variables between patient characteristics’ subgroups
Table 4
Comparison of the immune infiltrate by disease-free survival statuses
Factor
Overall, median (min, max)
No disease (n1 = 9), median (min, max)
Disease (n2 = 6), median (min, max)
p-value
CD3
178 (15, 802)
284 (59, 802)
98 (15, 376)
0.181
CD8
117 (11, 661)
137 (11, 661)
54 (15, 250)
0.181
FoxP3
5 (0, 82)
9 (0, 82)
2 (0, 14)
0.403
CD163
791 (264, 1861)
1090 (399, 1861)
685 (264, 1807)
0.607
PD1
5 (1, 65)
4 (1, 65)
12 (1, 26)
0.664
The exact Wilcoxon rank sum test was used to compare the continuous variables between patient characteristics’ subgroups
Table 5
Comparison of the immune infiltrate by local recurrence-free statuses
Factor
Overall, median (min, max)
No recurrence (n1 = 10), median (min, max)
Recurrence (n2 = 5), median (min, max)
p-value
CD3
178 (15, 802)
297 (59, 802)
78 (15, 143)
0.040
CD8
117 (11, 661)
165 (11, 661)
37 (15, 133)
0.040
FoxP3
5 (0, 82)
7 (0, 82)
1 (0, 14)
0.322
CD163
791 (264, 1861)
834 (399, 1861)
791 (264, 1807)
0.953
PD1
5 (1, 65)
5 (1, 65)
5 (1, 23)
0.839
The exact Wilcoxon rank sum test was used to compare the continuous variables between patient characteristics’ subgroups

Correlation with prognostic factors

There was no correlation between presence or absence of myometrial invasion or sarcomatous overgrowth and median CD3 (p = 0.96, 0.31), CD8 (p = 0.86, 0.31), FoxP3 (p = 0.55, 0.082), CD163 density (p = 0.69, 0.86), or PD-1 expression (p = 0.71, 0.49), respectively. There was insufficient patients with lymph-node involvement or lymphovascular invasion or an advanced stage to correlate with the immune infiltrate. Patients with tumors negative for ER and PR had significantly higher CD163 median densities than tumors that were positive for ER and PR (p = 0.040; p = 0.040). Otherwise there was no correlation between median CD3, CD8, FoxP3 densities and PD-1 expression and estrogen and progesterone receptor status. There was no correlation between the age of the patient at diagnosis and median CD3, CD8, FoxP3, CD163 densities, or PD-1 expression.

Discussion

To our knowledge, this study is the first of its kind and it was conducted to characterize the immune infiltrate and PD-1, PD-L1 analysis in uterine adenosarcoma.
Our study showed that patients who were (1) alive with disease, or (2) alive with no evidence of disease, had significantly higher CD3 and CD8 median densities compared to those patients who died of disease. Additionally, patients who were alive with no local recurrence had significantly higher CD3 and CD8 median densities compared to those who had a local recurrence. High levels of CD8+ T-lymphocytes have been strongly associated with prolonged overall survival and with favorable prognostic factors which, in turn, highlight the role of the immune system in endometrial cancer [23]. Similar findings have been seen in ovarian cancers where the presence of CD3 was found to be a strong prognostic factor of 10-year survival rates [24]. The presence of CD8 was associated with improved 5 and 10-year survival [24]. TILs have also been have associated with improved outcomes in some soft tissue sarcoma subtypes [13] and the presence of TILs may be a predictor of more favorable outcomes in uterine adenosarcomas.
Existing evidence suggests that the presence of TIL infiltrate in tumor tissue with an active PD-1/PDL1 expression is essential for immune checkpoint inhibitors. This evidence has been the basis for the FDA approval of certain immune therapeutic agents in the treatment of specific tumors, such as non-small cell lung cancer. The role of immunotherapy in gynecological cancers has emphasized the concepts of active immunotherapy through therapeutic vaccination, passive immunotherapy through adoptive cellular therapy using components of the immune system as antibodies and lymphocytes, and the use of immune checkpoint inhibitors which is by far the most promising yet [25]. Monoclonal antibodies against cytotoxic T lymphocytes-associated antigen 4 (CTLA-4) and PD1 and PD-L1 are currently employed in many clinical settings. Several reported and ongoing trials have looked into the role of checkpoint inhibitors in ovarian, cervical and endometrial cancers. In a trial of 20 patients involving the use of nivolumab [26], an anti-PD-1 antibody in ovarian cancer has shown a response rate of 15% and disease control rate of 45%. However, results in soft tissue sarcoma trials have been less promising. The majority of soft tissue sarcomas do not respond to immunotherapy. In fact, a trial examining immunotherapy in uterine leiomyosarcomas showed no responses.
In the present study, PD1 and PD-L1 expression was not significant in uterine adenosarcomas. Therefore, PD1-PDL1 expression may not be the best predictor of immunotherapy response in uterine adenosarcomas. The microenvironment of adenosarcoma in our cohort showed a higher density of CD8+ lymphocytes in tumor tissue in the absence of remarkable existence of PDL-1 expression by the tumor cells. The dissociation in the expression of CD8 and and PD1/PD-L1 axis suggests that adenosarcoma is a less favorable target for PD1/PD-L1 checkpoint inhibitors [27] and may use an alternate immune escape mechanism. Further investigations are required to identify immunologic therapeutic targets that may affect uterine adenosarcoma or other soft tissue sarcomas [8, 10, 28].
The most accepted prognostic factors in the literature for local adenosarcoma include the extent of myometrial invasion, sarcomatous overgrowth, lymphovascular invasion, lymph node metastasis, and age. Sarcomatous overgrowth and myometrial invasion are both associated with a more aggressive disease course, shorter relapse time, and decreased overall survival [2]. Our study did not associate the immune infiltrate median densities and the PD-1 expression with these factors. However, tumors with higher CD3 and CD8 median densities were significant determinants of overall survival. There was an association of increased macrophage infiltrate in patients with estrogen and progesterone receptor negative tumors. The significance of this finding is uncertain, even though an increased macrophage infiltrate has also been reported in triple negative breast cancer.
In our study, characterization of immune infiltrate was limited to biopsies prior to treatment. Further analysis of the immune infiltrate densities following or during treatment with radiation and systemic chemotherapy may be informative. Evaluation of HLA expression was not possible given the limited available tissue and is a further limitation of this study. Thus, the major limitation to our study is the small patient sample size, and small amount of tumor tissue, due to lack of availability of tumor blocks given the referral nature of our practice and the rarity of disease. Consequently, these results should be validated in a larger multi-center study. Despite these limitations, we were still able to identify that CD8 density may correlate with disease status. However, further studies are required to investigate the correlation of this effect with known UA risk factors, such as sarcomatous overgrowth, myometrial invasion, age, stage, and lymphovascular invasion; in an effort to improve outcomes and treatments for this incredibly rare disease. In the future, the role of immunotherapy should also be explored in the management of this rare uterine sarcoma for which there is no standard-of-care treatment in the recurrent or metastatic setting.

Conclusions

Uterine adenosarcomas have low PD-1 and PD-L1 expression. CD3+ CD8+ T-cells density may be prognostic in uterine Adenosarcomas. The immune-microenvironment and immune-responsiveness of uterine adenosarcomas needs to be further investigated in a larger study.

Acknowledgements

No further acknowledgements.
Some of the data included in this report was previously presented at CTOS (Connective Tissue Oncology Society) Annual Meeting in 2017, in Hawaii, Presentation: The Immune Microenvironment of Uterine Adenosarcomas, Abstract #2794392

Disclaimers

There are not disclaimers to report.
Ethics approval was received from the institution review board.
There are no conflicts of interests to report. All authors consented to publication.

Competing interests

The authors declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat Nathenson MJ, et al. Uterine adenosarcoma: a review. Curr Oncol Rep. 2016;18(11):68.CrossRef Nathenson MJ, et al. Uterine adenosarcoma: a review. Curr Oncol Rep. 2016;18(11):68.CrossRef
2.
Zurück zum Zitat Nathenson MJ, et al. The importance of lymphovascular invasion in uterine adenosarcomas: analysis of clinical, prognostic, and treatment outcomes. Int J Gynecol Cancer. 2018;28(7):1297–310.CrossRef Nathenson MJ, et al. The importance of lymphovascular invasion in uterine adenosarcomas: analysis of clinical, prognostic, and treatment outcomes. Int J Gynecol Cancer. 2018;28(7):1297–310.CrossRef
3.
Zurück zum Zitat D’Angelo E, Prat J. Uterine sarcomas: a review. Gynecol Oncol. 2010;116(1):131–9.CrossRef D’Angelo E, Prat J. Uterine sarcomas: a review. Gynecol Oncol. 2010;116(1):131–9.CrossRef
4.
Zurück zum Zitat Nathenson MJ, Conley AP. Prognostic factors for uterine adenosarcoma: a review. Expert Rev Anticancer Ther. 2018;18:1093–100.CrossRef Nathenson MJ, Conley AP. Prognostic factors for uterine adenosarcoma: a review. Expert Rev Anticancer Ther. 2018;18:1093–100.CrossRef
5.
Zurück zum Zitat Arend R, et al. Long-term outcome and natural history of uterine adenosarcomas. Gynecol Oncol. 2010;119(2):305–8.CrossRef Arend R, et al. Long-term outcome and natural history of uterine adenosarcomas. Gynecol Oncol. 2010;119(2):305–8.CrossRef
6.
Zurück zum Zitat Clement PB, Scully RE. Mullerian adenosarcoma of the uterus: a clinicopathologic analysis of 100 cases with a review of the literature. Hum Pathol. 1990;21(4):363–81.CrossRef Clement PB, Scully RE. Mullerian adenosarcoma of the uterus: a clinicopathologic analysis of 100 cases with a review of the literature. Hum Pathol. 1990;21(4):363–81.CrossRef
7.
Zurück zum Zitat Machida H, et al. Significance of lymph node metastasis on survival of women with uterine adenosarcoma. Gynecol Oncol. 2017;144(3):524–30.CrossRef Machida H, et al. Significance of lymph node metastasis on survival of women with uterine adenosarcoma. Gynecol Oncol. 2017;144(3):524–30.CrossRef
8.
Zurück zum Zitat Nathenson MJ, Conley AP, Sausville E. Immunotherapy: a new (and old) approach to treatment of soft tissue and bone sarcomas. Oncologist. 2018;23(1):71–83.CrossRef Nathenson MJ, Conley AP, Sausville E. Immunotherapy: a new (and old) approach to treatment of soft tissue and bone sarcomas. Oncologist. 2018;23(1):71–83.CrossRef
9.
Zurück zum Zitat Tawbi H. et al. Pembrolizumab (P) in patients with advanced soft tissue (STS) and Bone sarcomas (BS): Updated efficacy results of multicenter phase II study SARC028 and correlates of response. in CTOS # 2570708. 2016. Lisbon Portugla. Tawbi H. et al. Pembrolizumab (P) in patients with advanced soft tissue (STS) and Bone sarcomas (BS): Updated efficacy results of multicenter phase II study SARC028 and correlates of response. in CTOS # 2570708. 2016. Lisbon Portugla.
10.
Zurück zum Zitat Ben-Ami E, et al. Immunotherapy with single agent nivolumab for advanced leiomyosarcoma of the uterus: results of a phase 2 study. Cancer. 2017;123:3285–90.CrossRef Ben-Ami E, et al. Immunotherapy with single agent nivolumab for advanced leiomyosarcoma of the uterus: results of a phase 2 study. Cancer. 2017;123:3285–90.CrossRef
11.
Zurück zum Zitat George S, et al. Loss of PTEN is associated with resistance to anti-PD-1 checkpoint blockade therapy in metastatic uterine leiomyosarcoma. Immunity. 2017;46(2):197–204.CrossRef George S, et al. Loss of PTEN is associated with resistance to anti-PD-1 checkpoint blockade therapy in metastatic uterine leiomyosarcoma. Immunity. 2017;46(2):197–204.CrossRef
12.
Zurück zum Zitat D’Angelo SP, et al. Prevalence of tumor-infiltrating lymphocytes and PD-L1 expression in the soft tissue sarcoma microenvironment. Hum Pathol. 2015;46(3):357–65.CrossRef D’Angelo SP, et al. Prevalence of tumor-infiltrating lymphocytes and PD-L1 expression in the soft tissue sarcoma microenvironment. Hum Pathol. 2015;46(3):357–65.CrossRef
13.
Zurück zum Zitat Kim JR, et al. Tumor infiltrating PD1-positive lymphocytes and the expression of PD-L1 predict poor prognosis of soft tissue sarcomas. PLoS ONE. 2013;8(12):e82870.CrossRef Kim JR, et al. Tumor infiltrating PD1-positive lymphocytes and the expression of PD-L1 predict poor prognosis of soft tissue sarcomas. PLoS ONE. 2013;8(12):e82870.CrossRef
14.
Zurück zum Zitat Shen JK, et al. Programmed cell death ligand 1 expression in osteosarcoma. Cancer Immunol Res. 2014;2(7):690–8.CrossRef Shen JK, et al. Programmed cell death ligand 1 expression in osteosarcoma. Cancer Immunol Res. 2014;2(7):690–8.CrossRef
15.
Zurück zum Zitat Vanderstraeten A, et al. Mapping the immunosuppressive environment in uterine tumors: implications for immunotherapy. Cancer Immunol Immunother. 2014;63(6):545–57.CrossRef Vanderstraeten A, et al. Mapping the immunosuppressive environment in uterine tumors: implications for immunotherapy. Cancer Immunol Immunother. 2014;63(6):545–57.CrossRef
16.
Zurück zum Zitat Tsukahara T, et al. Prognostic significance of HLA class I expression in osteosarcoma defined by anti-pan HLA class I monoclonal antibody, EMR8-5. Cancer Sci. 2006;97(12):1374–80.CrossRef Tsukahara T, et al. Prognostic significance of HLA class I expression in osteosarcoma defined by anti-pan HLA class I monoclonal antibody, EMR8-5. Cancer Sci. 2006;97(12):1374–80.CrossRef
17.
Zurück zum Zitat Yabe H, et al. Prognostic significance of HLA class I expression in Ewing’s sarcoma family of tumors. J Surg Oncol. 2011;103(5):380–5.CrossRef Yabe H, et al. Prognostic significance of HLA class I expression in Ewing’s sarcoma family of tumors. J Surg Oncol. 2011;103(5):380–5.CrossRef
18.
Zurück zum Zitat Berghuis D, et al. Reduced human leukocyte antigen expression in advanced-stage Ewing sarcoma: implications for immune recognition. J Pathol. 2009;218(2):222–31.CrossRef Berghuis D, et al. Reduced human leukocyte antigen expression in advanced-stage Ewing sarcoma: implications for immune recognition. J Pathol. 2009;218(2):222–31.CrossRef
19.
Zurück zum Zitat Kostine M, et al. Increased infiltration of M2-macrophages, T-cells and PD-L1 expression in high grade leiomyosarcomas supports immunotherapeutic strategies. Oncoimmunology. 2018;7(2):e1386828.CrossRef Kostine M, et al. Increased infiltration of M2-macrophages, T-cells and PD-L1 expression in high grade leiomyosarcomas supports immunotherapeutic strategies. Oncoimmunology. 2018;7(2):e1386828.CrossRef
20.
Zurück zum Zitat Pollack SM, et al. T-cell infiltration and clonality correlate with programmed cell death protein 1 and programmed death-ligand 1 expression in patients with soft tissue sarcomas. Cancer. 2017;123(17):3291–304.CrossRef Pollack SM, et al. T-cell infiltration and clonality correlate with programmed cell death protein 1 and programmed death-ligand 1 expression in patients with soft tissue sarcomas. Cancer. 2017;123(17):3291–304.CrossRef
21.
Zurück zum Zitat Woolson RF, Clarke WR. Statistical methods for the analysis of biomedical data, vol. 371. Hoboken: Wiley; 2011. Woolson RF, Clarke WR. Statistical methods for the analysis of biomedical data, vol. 371. Hoboken: Wiley; 2011.
22.
Zurück zum Zitat Spearman C. The proof and measurement of association between two things. Am J Psychol. 1904;15(1):72–101.CrossRef Spearman C. The proof and measurement of association between two things. Am J Psychol. 1904;15(1):72–101.CrossRef
23.
Zurück zum Zitat de Jong RA, et al. Presence of tumor-infiltrating lymphocytes is an independent prognostic factor in type I and II endometrial cancer. Gynecol Oncol. 2009;114(1):105–10.CrossRef de Jong RA, et al. Presence of tumor-infiltrating lymphocytes is an independent prognostic factor in type I and II endometrial cancer. Gynecol Oncol. 2009;114(1):105–10.CrossRef
24.
Zurück zum Zitat Santoiemma PP, et al. Systematic evaluation of multiple immune markers reveals prognostic factors in ovarian cancer. Gynecol Oncol. 2016;143(1):120–7.CrossRef Santoiemma PP, et al. Systematic evaluation of multiple immune markers reveals prognostic factors in ovarian cancer. Gynecol Oncol. 2016;143(1):120–7.CrossRef
25.
Zurück zum Zitat Longoria TC, Eskander RN. Immunotherapy in endometrial cancer—an evolving therapeutic paradigm. Gynecol Oncol Res Pract. 2015;2:11.CrossRef Longoria TC, Eskander RN. Immunotherapy in endometrial cancer—an evolving therapeutic paradigm. Gynecol Oncol Res Pract. 2015;2:11.CrossRef
26.
Zurück zum Zitat Pakish JB, Jazaeri AA. Immunotherapy in gynecologic cancers: are we there yet? Curr Treat Options Oncol. 2017;18(10):59.CrossRef Pakish JB, Jazaeri AA. Immunotherapy in gynecologic cancers: are we there yet? Curr Treat Options Oncol. 2017;18(10):59.CrossRef
27.
Zurück zum Zitat Tumeh PC, et al. PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature. 2014;515(7528):568–71.CrossRef Tumeh PC, et al. PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature. 2014;515(7528):568–71.CrossRef
28.
Zurück zum Zitat Groisberg R, et al. Characteristics and outcomes of patients with advanced sarcoma enrolled in early phase immunotherapy trials. J Immunother Cancer. 2017;5(1):100.CrossRef Groisberg R, et al. Characteristics and outcomes of patients with advanced sarcoma enrolled in early phase immunotherapy trials. J Immunother Cancer. 2017;5(1):100.CrossRef
Metadaten
Titel
The immune microenvironment of uterine adenosarcomas
verfasst von
Ali Mohammed Refaat Ali
Jen-Wei Tsai
Cheuk Hong Leung
Heather Lin
Vinod Ravi
Anthony P. Conley
Alexander J. Lazar
Wei-Lien Wang
Michael J. Nathenson
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
Clinical Sarcoma Research / Ausgabe 1/2020
Elektronische ISSN: 2045-3329
DOI
https://doi.org/10.1186/s13569-020-0127-0

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