Abstract
The CD39-CD73–adenosinergic pathway converts adenosine triphosphate (ATP) to adenosine for inhibiting anti-tumor immune responses. Therefore, targeting CD73 to reinvigorate anti-tumor immunity is considered the novel cancer immunotherapy to eradicate tumor cells. To fully understand the critical role of CD39/CD73 in colon adenocarcinoma (COAD), this study aims to comprehensive investigate the prognostic significance of CD39 and CD73 in stage I–IV COAD. Our data demonstrated that CD73 staining strongly marked malignant epithelial cells and CD39 was highly expressed in stromal cells. Attractively, tumor CD73 expression was significantly associated with tumor stage and the risk of distant metastasis, which suggested CD73 was as an independent factor for colon adenocarcinoma patients in univariate COX analysis [HR = 1.465, 95%CI = 1.084–1.978, p = 0.013]; however, high stromal CD39 in COAD patients was more likely to have favorable survival outcome [HR = 1.458, p = 1.103–1.927, p = 0.008]. Notably, high CD73 expression in COAD patients showed poor response to adjuvant chemotherapy and high risk of distant metastasis. High CD73 expression was inversely associated with less infiltration of CD45+ and CD8+ immune cells. However, administration with anti-CD73 antibodies significantly increased the response to oxaliplatin (OXP). Blockade of CD73 signaling synergistically enhanced OXP-induced ATP release, which is a marker of immunogenic cell death (ICD), promotes dendritic cell maturation and immune cell infiltration. Moreover, the risk of colorectal cancer lung metastasis was also decreased. Taken together, the present study revealed tumor CD73 expression inhibited the recruitment of immune cells and correlated with a poor prognosis in COAD patients, especially patients received adjuvant chemotherapy. Targeting CD73 to markedly increased the therapeutic response to chemotherapy and inhibited lung metastasis. Therefore, tumor CD73 may be an independent prognostic factor as well as the potential of therapeutic target for immunotherapy to benefit colon adenocarcinoma patients.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00262-023-03416-4.
Keywords: CD73, Anti-tumor immunity, Colon adenocarcinoma, Distant metastasis, ATP
Introduction
Colorectal cancer (CRC) is one of the most relevant malignancies with cancer-related mortality in the world [1, 2]. Despite considerable improvements in therapeutic strategies for CRC in the recent decades, most CRC patients remain incurable and quickly occur tumor relapse after surgery, and associate with poor 5-years overall survival (OS) [3, 4]. Therefore, alternative therapeutic strategies benefit CRC patients need to be applied for improving the survival outcome of CRC patients such as immunotherapy.
The infiltration of CD8+ T lymphocytes has been associated with favorable survival outcome in various types of malignances including colorectal cancer [1, 5, 6]. But the functions of cytotoxic T lymphocytes can be severely attenuated by the immunosuppressive status within tumor microenvironment (TME) such as exhaustive markers PD-1/PD-L1 [7, 8]. Moreover, one of the major immunosuppressive pathways involved in tumor progression and tumor relapse is the CD39-CD73-adenosinergic pathway [9–11]. CD39 and CD73 is an ecto-5′-nucleotidase that catalyzes ATP/AMP into adenosine to exert various immunosuppressive effects by recruitment of myeloid-derived suppressor cells (MDSCs) and regulatory T cell (Tregs) to constitute an immune escape mechanism [12]. The CD39-CD73–adenosinergic pathway is mainly driven by hypoxia and cytokines within TME to attenuate the function of cytotoxic tumor-infiltrating immune cells [13, 14]. CD73 expression on tumor cells is remarkably upregulated in several malignances such as colorectal, breast and prostate cancer [10, 15–17], which is associated with tumorigenesis, tumor progression and metastasis by inhibiting antitumor functions of CD8+ T cells for immune escape [16, 18]. Therefore, blockade of CD73 has been reported to effectively prevent tumor growth and metastasis [19], suggesting that CD73 may serve as a potentially therapeutic target in multiple malignancies.
In the present study, we aim to investigate the clinical relevance of CD39-CD73-adenosinergic pathway in a large cohort of resected colon adenocarcinoma (COAD). We comprehensively examined the association between CD39/CD73 expression and clinicopathological characteristics, including tumor-infiltrating immune cells density, microsatellite instability, and immune checkpoint proteins. We found that high CD73 expression is significantly associated with a poor survival outcome by long-term outcome analysis, particularly in high-risk stage II–III COAD patients. The level of tumor CD73 was positively correlated with tumor progression, distant metastasis and response to adjuvant chemotherapy. Moreover, high CD73 in tumor microenvironment (TME) significantly associated with less infiltration of cytotoxic T cells, suggesting that CD73 may create immunosuppressive TME to inhibit anti-tumor immunity in COAD. Furthermore, inhibition of CD73 significantly promotes dendritic cell maturation and enhances T cell activation by chemotherapy. Blockade of CD73 remarkably increases the therapeutic efficacy of immunogenic chemotherapy, recruits high density of dendritic cell and T cell infiltration. Moreover, the risk of lung metastasis is also synergistically decreased when administrated with anti-CD73 antibodies and oxaliplatin. Taken together, these findings indicate that CD73 may inhibit anti-tumor immunity to decrease the therapeutic efficacy of chemotherapy, which can be acted as an independent prognostic factor and a therapeutic target for COAD patients, especially high-risk stage II–III COAD patients.
Materials and methods
Tumor cells and reagents
BALB/c-derived colon carcinoma cell lines CT26, human colorectal cancer cells HCT15, HCT116, SW620, SW480, LoVo, human monocytic cell line THP1 and human T lymphocyte cell line Jurkat were purchased from ATCC. Cells were screened for Mycoplasma using the Lookout Mycoplasma Detection Kit (Sigma) prior to preparation of working stocks of frozen cells, and thaws 3 to 5 days before use in all experiments. Tumor cells were grown in RPMI1640 (Gibco) cell culture medium supplemented with 10% FBS, 2 mol/L L-glutamine, 100 U/mL penicillin and 100 mg/mL streptomycin. Rat mAb to mouse CD73 (TY/23, BE0209), rat IgG2a isotype control (2A3, BE0089) were purchased from BioXCell. Small molecule CD73 inhibitor (CD73-IN-1, Cat. HY-103695) was purchased from MedChemExpress (CA, USA). Lentiviruses carrying shRNAs against CD73 were obtained from the National Core Facility for Manipulation of Gene Function by RNAi, miRNA, miRNA sponges, and CRISPR/Genomic Research Center (Academia Sinica, Taipei, Taiwan). ATP detection kit was purchased from Biovision (#K354-100, CA, USA) and AMP detection kit was purchased from Abcam (#ab273275, CA, USA).
Patients, cohorts and tissue microarrays construction
421 stage I–IV colon adenocarcinoma patients who underwent initial surgical resection in China Medical University Hospital (CMUH) between 2006 and 2014 were randomly selected. 221 patients were men (52.5%) and 200 (47.5%) were women, with a mean age of 63.7 ± 13.9 years. High-risk stage II–III COAD patients (n = 177) were received post-operative adjuvant chemotherapy after surgery.
For TMA construction, the standard protocol was followed according to our previous studies [1, 20]. Briefly, hematoxylin/eosin (HE)-stained tissue slides were evaluated by a pathologist and its correspondent formalin-fixed, paraffin-embedded tissues for TMA construction. Correspondent adjacent normal and tumor tissues were punched from donor block, and transferred into one recipient paraffin block. Each TMA spot contained at least 50% of the tumor area.
In this cohort, colon adenocarcinoma receive preoperative chemotherapy, radiotherapy and targeted therapy were excluded. All the clinicopathological data were collected from cancer registry database in CMUH, which was the approved by Institutional Review Board (IRB). Tumor stage was defined according to the 7th AJCC TNM staging system. The primary end point of this study was distant metastasis-free survival (DMFS) and disease-free survival (DFS), which is defined as the time from the surgical day to event day including tumor relapse and death.
Western blot analysis
Total cell lysates (20–40 μg) were separated via 6–12% SDS–PAGE and transferred onto a PVDF membrane (Millipore, MA, USA) [21]. The membranes were blocked with BlockPRO™ Blocking buffer (BioLion Biotech, Taipei, Taiwan), probed with specific antibodies overnight at 4 °C, and then incubated with HRP-conjugated secondary antibodies for 1 h. After antibody incubation, the membranes were incubated with Immobilon Western Chemiluminescent HRP Substrate (Millipore) and analyzed by an ImageQuant™ LAS 4000 biomolecular imager (GE Healthcare, Amersham, UK). The digital data were processed using Adobe Photoshop and quantified using ImageJ software (NIH, MD, USA). Each blot was stripped with Immunoblotting Stripping Buffer (BioLion Tech.) before reprobing with the other antibodies. The antibodies were listed: NT5E/CD73 (#13,160, Cell Signaling Technology, CA, USA), CD39 (#68,336, Cell Signaling Technology, CA, USA) and GAPDH (#IR3-8, iReal Biotechnology, Taipei, Taiwan).
Assessment of intracellular ATP and AMP level
The intracellular ATP and AMP level was assessed using ATP and AMP colorimetric assay Kit (#K354 and K229, Biovision, CA, USA). The concentration was evaluated by ELISA reader (OD570 nm).
Immunohistochemical analysis
The TMA recipient blocks were cut into 3-μm sections for IHC staining with standard protocol [1, 20]. TMA slides were deparaffinized, and rehydrated through graded alcohols before being exposed to the Antigen Unmasking Solutions (H3300, Vector Laboratories, Burlingame, CA). Endogenous peroxidase was blocked with 0.3% hydrogen peroxide for 15 min at room temperature. After incubation with the primary rabbit monoclonal antibody against CD73 (#13,160, 1:100, Cell Signaling Tech.) or CD39 (#14,481, 1:100, Cell Signaling Tech.) at room temperature for 2 h, the sections were stained according to the manufacture’s manual (VECTASTAIN Elite ABC Kit, Vector Laboratories) and incubated with the substrate DAB chromogen (Vector Laboratories), and then were counterstained with hematoxylin [21, 22]. Tumor CD73 and stromal CD39 expression was evaluated based on immunopositivity of cell on the membrane of tumor cells for Histo-score (H-score) according to the intensity by semiquantitative scale (0 for absent; 1 for weak; 2 for moderate; and 3 for strong membrane staining) and the percentage of membranous tumor CD73 or stromal CD39 cells. The range of H-score was from 0 to 300. For CD8/CD45/CD45RO tumor-infiltrating immune cells, the count of intra-epithelial immunopositive immune cells was evaluated under 40X microscopy. The counts of tumor-infiltrating lymphocytes were presented as No. of immune cells/mm2.
The cancer genome atlas (TCGA) database
Stage I–IV CRC patients were included and their CD39 and CD73 mRNA expression data were retrieved from Human Protein Atlas (HPA, www.proteinatlas.org/pathology) [23, 24], which resourced from the RNA sequencing (RNA-seq) data together with clinical information on TCGA. The CD39 and CD73 mRNA level gene had the best log-rank p value based on the Kaplan–Meier analysis with average RNA expression levels as the cut-off (Best expression cut-off = 9.0 for CD73 and cut-off = 3.37 for CD39) by the algorithm on HPA website [24]. RNA-seq data for 368 COAD samples derived from primary tumors were obtained from the TCGA-COAD Dataset [25]. Patients were split into low and high CD73 according to the mean CD73 expression of total patients. Gene signatures for CD8A+ tumor-infiltrating immune cells were calculated based.
Mouse tumor challenge and treatment
Five-week-old female BALB/c mice were administered according to the guidelines approved by the Institutional Animal Care and Use Committee of China Medical University (Protocol No. CMUIACUC-2021–359). BALB/c mice were subcutaneous injected with 2 × 105 CT26 cells for 5 days in the right flank (primary tumor) and intravenous injected with 1 × 105 CT26 cells five days following primary tumor inoculation. Mice (n = 5/group) were randomized to treatment groups when primary tumors reached an average tumor volume of 70–100 mm3. Oxaliplatin (OXP, 5 mg/kg, i.p.) was administrated on Day 7, 10, 13, 16 and 19. Anti-CD73 mAb (clone TY/23, 100 μg/mouse) and IgG control mAb were intraperitoneally administrated on Day 8, 11, 14 and 17. Tumors were measured by caliper every 2–3 days and volumes calculated using the formula: length × width2 /2. This experiment is repeated twice. The mice were sacrificed when the longest diameter reached 20 mm, and the survival of the tumor-bearing mice was observed and recorded every 3 days.
Flow cytometry analysis
After treatment, tumors were isolated and weighed from the mice and then placed in petri dishes containing blank RPMI media at room temperature to keep them in media to prevent dehydration. Tumors were minced into small pieces (1–2 mm) by a beaver blade, filtered through a 70 μm strainer, spun down, and then resuspended in blank RPMI media. Thereafter, the cell suspensions were layered over Ficoll-Paque media and centrifuged at 1,025 xg for 20 min. The layer of mononuclear cells was transferred into a conical tube, and 20 ml of complete RPMI media was added and then gently mixed and centrifuged at 650 xg for 10 min twice. Finally, the supernatant was removed, and the TILs were resuspended in complete RPMI media [26, 27].
Then, TILs were resuspended in 500 μL of staining buffer (2% BSA, 0.1% NaN3 in PBS). The cells were stained with the following surface marker panels: (1) DC maturation: CD45-APCFire750 (BioLegend, CA, USA), CD3/CD19-PerCP/Cy5.5 (BioLegend, CA, USA), MHC-II-PE/Cy7(BioLegend, CA, USA), CD11c-AF488 (BioLegend, CA, USA), CD86-PE (BioLegend, CA, USA), CD80-APC (BioLegend, CA, USA) and their isotypes; (2) T cell phenotype, CD3-APCFire750 (BioLegend, CA, USA), CD4-FITC (BioLegend, CA, USA), CD8a-PE/Cy7 (BioLegend, CA, USA), CD44-PE (BioLegend, CA, USA), CD62L-APC (BioLegend, CA, USA) and their isotypes; (3) Cytotoxic T cell panel: CD3-FITC (BioLegend, CA, USA), CD45-APCFire750 (BioLegend, CA, USA), GamB-AF647 (BioLegend, CA, USA), IFNγ-PE (BioLegend, CA, USA) and their isotypes. Samples were analyzed on a Guava easyCyte Flow cytometer (Luminex, CA, USA).
Immunohistochemical analysis on the resected mouse tumors
The antibodies used in this study were as follows: anti-cleaved caspase-3 (#9661, Cell Signaling Technology), FITC-conjugated anti-mouse CD11c (ab210308, Abcam) and anti-mouse granzyme B (ab255598, Abcam). Tissue slides were deparaffinized, incubated with 3% H2O2 in water for 10 min to quench endogenous peroxidase activity, and subjected to heat-mediated antigen retrieval with Antigen Unmasking Solutions (H3300, Vector Laboratories, Burlingame, CA). Tissue Sects. (3-µm thickness) were stained with the HRP-conjugated avidin biotin complex (ABC) from the Vectastain Elite ABC Kit (Vector Laboratories, Burlingame, CA) and DAB chromogen (Vector Laboratories) and counterstained with hematoxylin. For CD11c and granzyme B, the tissue sections were stained with FITC-conjugated secondary antibodies, and counterstained with DAPI.
Staining for immune cells was positive when detected in the tumor-infiltrating lymphocytes (TILs) and was evaluated using a microscope (OLYMPUS BX53, Tokyo, Japan). Regarding the detection of TILs, the tissue was viewed at 40 × magnification, and the area with the highest density of CD11c+ and GzmB+ TILs within the malignant cells was counted at 400 × magnification (no. of TILs/high-power field). The average number of tumor-infiltrating immune cells in five high-power fields was included in the evaluation [28].
Statistical analysis
The statistical analyses were carried out by SPSS software version 22 (SPSS, Chicago, IL, USA) with p-value < 0.05 as statistically significant cut-off. The patient survival was estimated by the Kaplan–Meier log-rank test. The correlation analysis between CD73/CD39 expression (H-score) and clinicopathological parameters were analyzed by chi-squared test or Fisher’s exact test (two-tailed). Unpaired t test was used to compare the difference between two groups, and one-way ANOVA was used to compare multiple groups. Univariate and multivariate Cox proportional hazard COX regression model was constructed with influence factors including sex, age, pT stage, pN stage, pTNM, tumor location, tumor differentiation, lymphovascular invasion, perineural invasion, tumor PD-L1, tumor PD-L2, tumor CD73 and stromal CD39 with an entry criterion of p < 0.05.
Results
High tumor CD73 expression was associated with risk of distant metastasis, poor survival outcome and less infiltration of immune cells in colon adenocarcinoma.
To understand the role of CD39-CD73–adenosinergic pathway in colon adenocarcinoma (COAD), we interrogated the expression pattern of CD39 and CD73 within tumor microenvironment (TME). As presented in Table S1 and S2, 421 COAD patients who received surgery between 2006 and 2014 were enrolled in this study, and followed up until 2021. The majority of the patients were men (52.5%). We used a Histo-scoring system based on the IHC staining intensity to evaluate CD39 and CD73 expression [1] (Fig. 1). The representative images of immunohistochemical CD39 and CD73 expression were shown according to their staining intensity (Fig. 1A). We found that CD39 was expressed on tumor cell (150/421 = 35.6%, Fig. S1A, Table S1), stromal cells (205/421 = 48.7%, Fig. S1B, Table S1 and S2), and inflammatory cells (119/421 = 28.3%, Fig. S1C, Table S2). But CD73 was specific expressed on tumor cells (285/421 = 67.7%, Table S1). The patients’ clinicopathological characteristics and CD39/CD73 expression are summarized in Table S1 and Table S2. Patients with high tumor CD73 had the tendency to associate with the presence of perineural invasion (PNI, p = 0.0673, Fig. 1B). Moreover, patients with high tumor CD73 had clinically associated with the risk of distant metastasis (DM, p = 0.0353, Fig. 1B). The expression level of tumor CD73 was associated with the tumor size (pT stage, p = 0.0008, Fig. 1D). The expression of stromal CD39 was not associated with the risk of LVI, PNI, DM and tumor size (Fig. 1C, D).
We then further examined the prognostic role of CD39 and CD73 expression in colon adenocarcinoma, Kaplan–Meier (KM) analysis was used to examine their prognostic value (Table 1). KM survival curve showed that patients with high tumor CD73 expression were clinically associated with poor DFS in stage I–IV COAD patients (48.7% vs 61.0%, p = 0.019, Fig. 1E). However, patients high stromal CD39 expression were clinically associated with favorable DFS in stage I–IV COAD patients (58.0% vs 46.3%, p = 0.007, Fig. 1E). Moreover, high tumor CD73 expression was significantly associated with worsen distant metastasis-free survival (DMFS) and DFS in high-risk stage II–III colon adenocarcinoma patients who received adjuvant chemotherapy (Fig. 1F). These results suggested that tumor CD73 expression was associated with poor survival outcomes in high-risk stage II–III COAD patients.
Table 1.
Parameters | Noa | DFS (%) | p value* | OS (%) | p value* |
---|---|---|---|---|---|
421 | 52.0% | 57.0% | |||
Sex | 0.928 | 0.605 | |||
Female | 200 | 52.0% | 58.0% | ||
Male | 221 | 52.0% | 56.1% | ||
Age | 0.077 | 0.021 | |||
< 65 | 210 | 56.7% | 62.9% | ||
≥ 65 | 211 | 47.4% | 51.2% | ||
pT stage | < 0.001 | < 0.001 | |||
pT1-2 | 70 | 75.7% | 78.6% | ||
pT3-4 | 351 | 47.3% | 52.7% | ||
pN stage | < 0.001 | < 0.001 | |||
Negative | 219 | 65.3% | 68.9% | ||
Positive | 202 | 37.6% | 44.1% | ||
pTNM stage | < 0.001 | < 0.001 | |||
Stage1-2 | 219 | 65.3% | 68.9% | ||
Stage3-4 | 202 | 37.6% | 44.1% | ||
Tumor location | 0.724 | 0.491 | |||
Distal colon | 237 | 53.2% | 58.2% | ||
Proximal colon | 179 | 52.0% | 56.4% | ||
Tumor differentiation | 0.941 | 0.807 | |||
Well to moderate | 411 | 52.3% | 57.2% | ||
Poor | 6 | 52.0% | 50.0% | ||
Lymphovascular invasion | < 0.001 | < 0.001 | |||
Absent | 179 | 66.5% | 69.8% | ||
Present | 242 | 41.3% | 47.5% | ||
Perineural invasion | < 0.001 | < 0.001 | |||
Absent | 254 | 64.2% | 68.1% | ||
Present | 166 | 33.7% | 40.4% | ||
Tumor PD-L1 | 0.002 | 0.001 | |||
High | 143 | 62.2% | 68.5% | ||
Low | 277 | 46.6% | 40.9% | ||
Tumor PD-L2 | 0.096 | 0.014 | |||
High | 143 | 56.6% | 64.3% | ||
Low | 274 | 49.3% | 52.9% | ||
Tumor CD73 | 0.012 | 0.038 | |||
Low | 154 | 60.4% | 64.3% | ||
High | 267 | 47.2% | 52.8% | ||
Stromal CD39 | 0.007 | 0.001 | |||
High | 205 | 58.0% | 64.7% | ||
Low | 216 | 46.3% | 50.0% |
aNumber of cases may differ due to missing data
P-values marked with bold indicate statistically significant differences between these groups
CD73 plays an immunosuppressive role within TME, therefore, we evaluated the relationship between tumor CD73 and immune signatures such as CD8+ T cells (cytotoxic T lymphocyte marker), CD45+ T cells (general immune cell marker) and CD45RO+ T cells (effector/memory T lymphocyte marker) by immunohistochemical analysis on intraepithelial tumor-infiltrating lymphocytes (TILs). We found a significantly negative association between tumor CD73 expression with immune contexture of CD8+ TILs (p = 0.01) and CD45+TILs (p = 0.032, Fig. 1G). These results suggest that tumor CD73 expression can be a significant prognostic factor for COAD patients by inhibiting the infiltration of immune cells, especially CD8+ T cell-mediated immune response.
Prognostic impacts of tumor CD73 expression in high-risk COAD patients
For univariate analysis of long-term DFS by Cox regression model, several clinicopathological characters were associated with patient survival outcome including pT stage, pN stage, LVI and PNI. The immune-related parameters tumor PD-L1, tumor CD73 and stromal CD39 were also associated with survival outcome. Patients with a high tumor membranous CD73 also had an increased risk for a poor DFS (HR = 1.465, 95% CI = 1.084–1.978, p = 0.013) compared with patients carrying a low tumor CD73 (Table 2). Conversely, patients with low stroma CD39 were associated with poor DFS (HR = 1.458, 95% CI = 1.103–1.927, p = 0.008). These results showed that tumor CD73 have the clinically prognostic relevance for COAD patients. Moreover, tumor CD73 was found to be the independent prognostic factor for long-term DFS by multivariate COX analysis after adjusted with these significant parameters identified by univariate analysis (Table 2). Patients with high tumor CD73 levels (HR = 1.711, 95% CI = 1.260–2.325, p = 0.001) presented an increased risk for poor DFS. These results show that the level of tumor CD73 could independently predict the prognosis in COAD patients (Table 2).
Table 2.
Parameters | Univariate analysis | Multivariate analysis | ||||||
---|---|---|---|---|---|---|---|---|
No. at riska | Events | HR | 95% CI | p value | HR | 95% CI | p value | |
Sex | 421 | 0.928 | 0.429 | |||||
Female | 200 | 96 | 1.0 | 1 | ||||
Male | 221 | 106 | 0.987 | 0.749–1.030 | 1.121 | 0.844–1.489 | ||
Age | 0.081 | 0.014 | ||||||
< 65 | 210 | 91 | 1 | 1 | ||||
≥ 65 | 211 | 111 | 1.28 | 0.97–1.689 | 1.432 | 1.075–1.908 | ||
pT stage | 0.001 | |||||||
pT1-2 | 70 | 17 | 1 | |||||
pT3-4 | 351 | 185 | 2.52 | 1.532–4.143 | ||||
pN stage | < 0.001 | |||||||
Negative | 219 | 76 | 1 | |||||
Positive | 202 | 126 | 2.346 | 1.762–3.123 | ||||
pTNM stage | < 0.001 | < 0.001 | ||||||
1–2 | 219 | 76 | 1 | 1 | ||||
3–4 | 202 | 126 | 2.505 | 1.873–3.349 | 2.083 | 1.502–2.887 | ||
Tumor location | 0.726 | |||||||
Proximal colon | 237 | 111 | 1 | |||||
Distal colon | 179 | 86 | 0.951 | 0.718–1.26 | ||||
Tumor differentiation | 0.942 | |||||||
Well to moderate | 411 | 196 | 1 | |||||
Poor | 6 | 3 | 0.958 | 0.306–2.997 | ||||
Lymphovascular invasion | < 0.001 | 0.134 | ||||||
Absent | 179 | 60 | 1 | 1 | ||||
Present | 242 | 142 | 2.144 | 1.585–2.901 | 1.3 | 0.922–1.832 | ||
Perineural invasion | < 0.001 | < 0.001 | ||||||
Absent | 254 | 91 | 1 | 1 | ||||
Present | 166 | 110 | 2.326 | 1.76–3.074 | 1.853 | 1.370–2.508 | ||
Tumor PD-L1 | 0.003 | 0.002 | ||||||
High | 143 | 54 | 1 | 1 | ||||
Low | 277 | 148 | 1.612 | 1.18–2.203 | 1.667 | 1.205–2.307 | ||
Tumor PD-L2 | 0.100 | 0.071 | ||||||
High | 143 | 62 | 1.0 | 1.0 | ||||
Low | 274 | 139 | 1.286 | 0.953–1.735 | 1.338 | 0.976–1.834 | ||
Tumor CD73 | 0.013 | 0.001 | ||||||
Low | 154 | 61 | 1.0 | 1 | ||||
High | 267 | 141 | 1.465 | 1.084–1.978 | 1.711 | 1.260–2.325 | ||
Stromal CD39 | 0.008 | 0.007 | ||||||
High | 205 | 86 | 1.0 | 1 | ||||
Low | 216 | 116 | 1.458 | 1.103–1.927 | 1.481 | 1.115–1.966 |
P-values marked with bold indicate statistically significant differences between these groups
To evaluate the prognostic value of tumor CD73 in high-risk stage II–III COAD patients, we stratified stage II–III patients into two subgroups based on the administration of adjuvant chemotherapy (Table 3). We found high tumor CD73 had an increased risk for a poor DFS in stage II–III COAD patients who received adjuvant chemotherapy followed by surgery (HR = 2.440, 95% CI = 1.367–4.353, p = 0.003, Table 3). However, there was no prognostic significance of tumor CD73 in stage II–III COAD patients who received surgical operation only. These results showed that tumor CD73 could be an independent prognostic factor for COAD patients, especially for high-risk stage II–III COAD patients.
Table 3.
Parameters | Multivariate analysis | ||
---|---|---|---|
HR | 95% CI | p value | |
Stage II-III patients (surgery only) | |||
Sex (Male vs Female) | 0.787 | 0.398–1.555 | 0.49 |
Age (> 65 vs < 65) | 5.875 | 2.140–16.131 | 0.001 |
pT stage (pT3-4 vs pT1-2) | 0.115 | 0.012–1.139 | 0.064 |
pN stage (Positive vs Negative) | 1.159 | 0.449–2.994 | 0.76 |
Tumor location (Distal vs Proximal) | 0.820 | 0.408–1.646 | 0.576 |
LVI (Present vs Absent) | 0.915 | 0.439–1.908 | 0.812 |
PNI (Present vs Absent) | 1.970 | 0.868–4.471 | 0.105 |
Tumor CD73 (High vs Low) | 0.533 | 0.276–1.027 | 0.06 |
High-risk stage II-III patients (receiving adjuvant chemotherapy) | |||
Sex (Male vs Female) | 0.865 | 0.527–1.420 | 0.567 |
Age (> 65 vs < 65) | 1.210 | 0.747–1.959 | 0.439 |
pT stage (pT3-4 vs pT1-2) | 2.589 | 0.614–10.918 | 0.195 |
pN stage (Positive vs Negative) | 1.346 | 0.795–2.278 | 0.268 |
Tumor location (Distal vs Proximal) | 1.610 | 0.960–2.701 | 0.071 |
LVI (Present vs Absent) | 1.428 | 0.776–2.629 | 0.252 |
PNI (Present vs Absent) | 1.782 | 1.076–2.951 | 0.025 |
Tumor CD73 (High vs Low) | 2.440 | 1.367–4.353 | 0.003 |
P-values marked with bold indicate statistically significant differences between these groups
CD73 attenuated chemotherapy-induced cancer immunogenicity to inhibit anti-cancer immunity and the response to chemotherapy
We then analyzed the CD73/NT5E and CD39/ENTPD1 mRNA transcriptome results from The Cancer Genome Atlas (TCGA) database [24]. CD73 mRNA was highly expressed in tumor tissues compared to normal tissues. But CD39 mRNA was decreased in tumor tissues (Fig. 2A). To further validate the prognostic value of CD73, the results of CD73 mRNA on stage I–IV colorectal cancer was retrieved from Human Protein Atlas (HPA, www.proteinatlas.org/pathology) [23, 24], which resourced from TCGA database with the RNA sequencing (RNA-seq) data and basic clinical information. The cut-off of CD73 mRNA level for survival analysis was based on the algorithm on HPA website [24]. CRC patients with high CD73 mRNA have poor survival outcome (HR = 1.598, 95%CI = 1.042–2.452, p = 0.0426, Fig. 2B). CD39 mRNA level was not associated with survival outcome in stage I–IV CRC patients in TCGA cohort (Fig. 2B). Moreover, the CD73 mRNA level was negatively correlated with the expression of CD8+ T cell signatures including CD8A, GZMB, CXCR3 and CXCL9 (Fig. 2C). Taken together, these results showed that CD73 expression might inhibit anti-tumor immunity, leading to poor survival outcome in CRC patients.
CD73 is an ectonucleotidase that catalyzes ATP/AMP into adenosine for immunosuppressive TME by recruiting MDSCs and Tregs. Moreover, the release of ATP by dying cells dictates their immunogenicity for dendritic cell maturation and recruitment when chemotherapy elicited immunogenic cell death (ICD)[29, 30]. High expression of CD73 may convert ATP into adenosine during chemotherapy-induced ICD, such as oxaliplatin (OXP). Therefore, we evaluate whether CD73 affects the therapeutic efficacy of chemotherapy by attenuating cancer immunogenicity to inhibit anti-tumor immunity. We first evaluated the level of CD73 in five colorectal cancer cell lines and found that high expression of CD73 existed in HCT116 cells (Fig. 3A). We then generated HCT116shCD73 stable cell line (Fig. 3B). We treated HCT116shNC and HCT116shCD73 cells with OXP for 6 h. We found that knockdown of CD73 retained the level of OXP-induced ATP release an AMP accumulation (Fig. 3C). Similarly, inhibition with CD73 by small molecule CD73-IN-1 also maintained the level of extracellular ATP and AMP (Fig. 3D). Previous studies showed that blockade of CD73 promotes dendritic cell maturation and infiltration to enhance the anti-tumor response of radiotherapy by sustaining the level of extracellular ATP [31]. Therefore, we then performed in vitro experiments using OXP-treated HCT116shNC and HCT116shCD73 cancer cells cocultured with THP1-derived immature DCs (THP-iDCs, Fig. 3E). Direct co–culture experiments also showed that high expression of DC maturation marker CD86 on THP-iDCs when cocultured with OXP-treated HCT116shCD73, compared to HCT116shNC (Fig. 3F). Moreover, the T cell activation was also increased when cocultured with OXP-treated HCT116shCD73 and THP-iDCs (Fig. 3G). These cytotoxic ability of T cells that co-cultured with OXP-treated HCT116shCD73 and THP-iDCs were also superior than OXP-treated HCT116shNC/THP-iDCs cells (Fig. 3H). These results showed that tumor CD73 decreased chemotherapy-induced cancer immunogenicity to reduce DC maturation and T cell activation.
We next investigated whether blockade of CD73 can enhance the response to immunogenic chemotherapy in vivo and reduce the risk of metastasis (Fig. 4A). We found blockade of CD73 by antibodies (clone TY/23) conferred sensitivity to OXP treatment in immunocompetent mice, suggesting that CD73 inhibition can potentiate OXP activity against colorectal cancer (Fig. 4B). The tumor volume and tumor weight were significantly decreased when combined with OXP and anti-CD73 antibodies (Fig. 4C, D). The apoptotic marker caspase-3 cleavage was markedly observed in OXP/anti-CD73 mAb group (Fig. 4E). Moreover, we found that the number of lung metastasis nodules was remarkably decreased in OXP/anti-CD73 antibodies group (Fig. 4F). The survival period was also prolonged by OXP/anti-CD73 antibodies treatment (Fig. 4G). These experiments were repeated and similar results were observed (Fig. S2A).
Moreover, high density of tumor-infiltrating CD11c+DCs and GzmB+ T cells were observed in OXP/anti-CD73 mAb group (Fig. 5A–C). To evaluate the immune cell profile within tumors, we extracted tumor-infiltrating immune cells for flow cytometry. The gating strategies were shown in Fig. S2B–D. As shown in Fig. 5D, the density of CD11c+MHCII+ DCs was remarkably increased in OXP/anti-CD73 mAb group (Fig. 5D). The infiltrated mature DCs (CD86+CD80+ CD11c+MHCII+ DCs) also increased (Fig. 5E). In addition, the infiltrating number of CD4+ T cells, CD8+ cells and effector/memory CD8+ T cells (CD44+CD62L−CD8+ TEM) was higher in OXP/anti-CD73 mAb group, compared to OXP group (Fig. 5F). The number of cytotoxic GzmB+ CD8+ T cells and IFNγ+ CD8+ T cells within resected tumors was also increased (Fig. 5G, H). Taken together, these results showed that tumor CD73 inhibited immunogenicity of dying cancer cells by converting ATP into adenosine, leading to less DC maturation and T cell-mediated anti-tumor immunity.
Discussion
In this study, we found 67.7% COAD patients harbored high CD73 expression within TME, suggesting that CD73 is a tumor-specific expression in COAD patients. High tumor CD73 in the TME is associated with shorter survival outcomes, tumor relapse and resistance to adjuvant chemotherapy. Moreover, the level of tumor CD73 is conversely correlated with the infiltration of immune cells within TME, indicating that CD73 may inhibit infiltration of immune cells for immune escape. By targeting CD73, we found that dendritic cell maturation and cytotoxic T cell activity was significantly increased after treatment with immunogenic chemotherapy OXP in vitro and in vivo. Moreover, the lung metastasis was also decreased when administrated with anti-CD73 antibodies and OXP. Taken together, these findings suggest that CD73 can be considered an independent prognostic factor for high-risk COAD patients, especially for patients who receive adjuvant chemotherapy. Moreover, CD73 blockade may benefit patients from chemotherapy by increasing DC maturation for anti-tumor immunity.
Recent studies have demonstrated that many solid tumors impair proinflammatory signaling as an immune escape mechanism by converting extracellular ATP to adenosine via CD39/CD73 signaling pathway. Accumulating immunosuppressive adenosine constitutes a negative feedback mechanism to prevent immunosurveillance for anti-tumor immune responses [32, 33]. This immune escape leads to tumor growth, metastasis and resistant to chemotherapy. In line with these studies, we found that tumor CD73 expression was correlated with perineural invasion (PNI), distant metastasis and tumor size. Moreover, CD73 in tumor tissues is highly expressed, compared to normal peritumoral tissues, which correlated with the tumor progression. Supporting to our studies, high tumor CD73 expression has been reported in multiple malignancies and associated with worse clinical outcomes [34]. Moreover, high CD73 expression was also reported to associate with lymph node metastasis and distant metastasis in several malignancies including gastric carcinoma, gallbladder cancer, renal cancer and head and neck squamous cell carcinoma (HNSCC) [33–35]. These finding highlighted that high CD73 expression increased risk of lymph node metastases.
Furthermore, Messaoudi et al. found that high expression of tumor CD73 in metastatic site was resistant to peri-operative chemotherapy in patients with colorectal liver metastasis (CRLM) [33] and resistant to chemotherapy in breast cancer [36]. The poor response to chemotherapy, tumor progression and large tumor sizes are considered critical characters with chronic hypoxia [33]. In these hypoxic area, stressed cancer cells release ATP that can be directly converted into adenosine by CD73 for tumor growth and survival. Moreover, the rich of CD73 in TME also attenuated the therapeutic efficacy of immunogenic chemotherapeutic agents such as oxaliplatin and doxorubicin by converting the ATP, which is a key mediator of immunogenic cell death (ICD), into adenosine [29, 30, 37]. Consistently, we found that inhibition of CD73 increased the immunogenicity of cancer cells by oxaliplatin treatment, triggering DC maturation and T cell activation. Blockade of CD73 conferred to sensitivity to chemotherapy, resulting in tumor regression, infiltration of DCs and CD8+ T cells. Taken together, high CD73 in TME not only promoted cancer cell survival but resulted in immunosuppressive adenosine to prevent effective immunosurvalliance and immunoscavenging of residual tumor cells.
Several studies suggested that immunosuppressive TME by CD73-derived adenosine mainly dampened anti-tumor effect of different immune cells for immune escape including CD8+ immune cells and NK cells. CD73 also participated in the regulation of MDSC expansion, pro-tumoral M2 macrophages polarization and Treg inhibitory activity. Furthermore, several studies showed that tumor CD73 expression significantly weakened the immune response to immune checkpoint inhibitors (ICIs) [38]. Targeting CD73 showed favorable anti-tumor effects in several preclinical studies [39]. Stagg et al. reported that blockade of CD73 could reactivate adaptive anti-tumor immunity to delay tumor growth and metastasis [40]. One potential valuable antibody drug targeting CD73 is MEDI9447, enhancing the activity of anti-PD-1 inhibitor by increasing CD8+ T cells, prolonging IFNγ and granzyme B expression and reducing MDSC and Tregs within TME [38, 41, 42]. Therefore, combined with anti-CD73 monoclonal antibodies dramatically enhanced the therapeutic effect of anti-CTLA-4 and anti-PD-1 inhibitors, suggesting that CD73 was a potential biomarker for response to ICIs treatment. These findings showed that targeting CD73 may immunologically reinvigorate “cold” tumor into “hot” tumor, especially in mismatch repair proficient (MMR) colorectal cancer.
But the underlying mechanism to regulate CD73 expression within microenvironment was complicated. Recent studies found that epigenetic control on CD73 promoter was significantly associated with tumor CD73 expression in HNSCC and pancreatic cancer (PC) [43, 44]. Chen et al. showed that CD73 expression was conversely associated with the status of CD73 promoter methylation, and hypomethylation of CpG site on cg23172664 was remarkably correlated with poorer OS. Moreover, they found that PC patients with high CD73 expression contained a lower proportion of CD8+ T cells and γδ+ T cells by TCGA database, which is consistent with our observation in colon adenocarcinoma patients [44]. Our recent studies found that inhibition of DNMTs by FDA-approved 5-azacytidine (5-AC) and decitabine (DAC) increased the clinical benefit of anti-PD-L1 blockade combined with chemotherapy or radiotherapy in preclinical colorectal cancer model [30, 45]. Therefore, epigenetic control of CD73 by demethylating agents may potentially increase the therapeutic efficacy to anti-CD73 blockade. However, it is still need to investigate in future.
In addition to shape immunosuppressive TME, CD73 may reduce the therapeutic efficacy of radiotherapy and immunogenic chemotherapeutic agents by attenuating the effect of immunogenic cell death (ICD) [29, 46]. Several damage-associated molecular patterns (DAMPs) were released by radiotherapy and immunogenic chemotherapeutic agents to promote antigen-presenting cells (APCs) maturation and activation for anti-tumor immune response [47]. ATP, which is one of DAMPs, can engage P2RX7 receptor to dendritic cells (DCs) for T cell activation and anti-tumor immunity. Therefore, blockade of CD73 may increase the therapeutic efficacy of adjuvant chemotherapy and radiotherapy by increasing APCs maturation for T cell activation. Recent studies showed that CD73 blockade with radiotherapy increased the tumor-infiltrating DCs to enhance the therapeutic response [31, 48]. Moreover, CD73 blockade enhanced the radiotherapy-induced abscopal effects, suggesting that CD73 may be a radiation-induced immune checkpoint [31, 48]. More attractively, we found that the upstream CD39 is independent prognostic factor for favorable outcome [49]. Previous studies showed that rectal cancer patients with high tumor CD39 had favorable clinical parameters such as early TNM and absent of lymph node metastasis. They also found that high tumor CD39 was associated with favorable overall survival but they indicated that tumor CD39 cannot be used as an independent factor for predicting patients’ prognosis. Therefore, the prognostic value and its underlying mechanism of CD39 is needed to elucidate further.
Taken together, our findings showed that high tumor CD73 was associated with the risk of distant metastasis and less infiltration of immune cells, indicating that CD73 may promote immunosuppressive TME for immune escape and tumor relapse. Moreover, our studies showed that tumor CD73 may be an independent prognostic factor for colon adenocarcinoma, especially in chemotherapy-refractory COAD patients, suggesting that tumor CD73 may have prognostic value as well as the potential of therapeutic target for immunotherapy in colon adenocarcinoma.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
We are grateful for the tissue microarray support from the Translation Research Core, China Medical University Hospital. This study was supported in part by China Medical University Hospital (DMR-CELL-2103, DMR-CELL-2102 and DMR-110-045, Taiwan), the Ministry of Science and Technology (MOST110-2628-B-039-005 and MOST110-2314-B-039-032, Taiwan), and the Health and welfare surcharge on tobacco products, China Medical University Hospital Cancer Research Center of Excellence (MOHW110-TDU-B-212-144024, Taiwan). This study was partially based on clinical information from the China Medical University Hospital Cancer Registry. Experiments and data analysis were performed in part through the use of the Medical Research Core Facilities Center, Office of Research & Development at China medical University, Taichung, Taiwan, R.O.C.
Author contributions
Data curation, YL and TC; Formal analysis, SC, WTC, KCH, JL and AS; Funding acquisition, KSCC and KCH; Investigation, WTC, TK and PY; Animal experiments and flow cytometry analysis, KCH, CC and WH; Project administration, KCH; Resources, WTC, TK and KSCC; Supervision, KSCC; Writing—original draft, KCH; Writing—review & editing, KSCC.
Declarations
Competing interests
The authors declare no competing interests.
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
This study was reviewed and approved by the Internal Review Board (IRB) of China Medical University Hospital [Protocol number: CMUH105-REC2-073]. The method was carried out in accordance with the committee’s approved guidelines.
Informed consent
Informed consents were obtained from all participants in the study.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
K. S. Clifford Chao and Kevin Chih-Yang Huang these authors contributed equally to this work.
Contributor Information
K. S. Clifford Chao, Email: d94032@mail.cmuh.org.tw.
Kevin Chih-Yang Huang, Email: chihyang0425@mail.cmu.edu.tw.
References
- 1.Huang CY, Chiang SF, Ke TW, Chen TW, You YS, Chen WT, et al. Clinical significance of programmed death 1 ligand-1 (CD274/PD-L1) and intra-tumoral CD8+ T-cell infiltration in stage II-III colorectal cancer. Sci Rep. 2018;8(1):15658. doi: 10.1038/s41598-018-33927-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7–33. doi: 10.3322/caac.21708. [DOI] [PubMed] [Google Scholar]
- 3.Adlard JW, Richman SD, Seymour MT, Quirke P. Prediction of the response of colorectal cancer to systemic therapy. Lancet Oncol. 2002;3(2):75–82. doi: 10.1016/s1470-2045(02)00648-4. [DOI] [PubMed] [Google Scholar]
- 4.McCleary NJ, Meyerhardt JA, Green E, Yothers G, de Gramont A, Van Cutsem E, et al. Impact of age on the efficacy of newer adjuvant therapies in patients with stage II/III colon cancer: findings from the ACCENT database. J Clin Oncol. 2013;31(20):2600–2606. doi: 10.1200/JCO.2013.49.6638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Huang CY, Chiang SF, Ke TW, Chen TW, Lan YC, You YS, et al. Cytosolic high-mobility group box protein 1 (HMGB1) and/or PD-1+ TILs in the tumor microenvironment may be contributing prognostic biomarkers for patients with locally advanced rectal cancer who have undergone neoadjuvant chemoradiotherapy. Cancer Immunol Immunother. 2018;67(4):551–562. doi: 10.1007/s00262-017-2109-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chen TW, Huang KC, Chiang SF, Chen WT, Ke TW, Chao KSC. Prognostic relevance of programmed cell death-ligand 1 expression and CD8+ TILs in rectal cancer patients before and after neoadjuvant chemoradiotherapy. J Cancer Res Clin Oncol. 2019;145(4):1043–1053. doi: 10.1007/s00432-019-02874-7. [DOI] [PubMed] [Google Scholar]
- 7.Wang J, Yuan R, Song W, Sun J, Liu D, Li Z. PD-1, PD-L1 (B7–H1) and Tumor-site immune modulation therapy: the historical perspective. J Hematol Oncol. 2017;10(1):34. doi: 10.1186/s13045-017-0403-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Xu-Monette ZY, Zhang M, Li J, Young KH. PD-1/PD-L1 blockade: have we found the key to unleash the antitumor immune response? Front Immunol. 2017;8:1597. doi: 10.3389/fimmu.2017.01597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Beavis PA, Divisekera U, Paget C, Chow MT, John LB, Devaud C, et al. Blockade of A2A receptors potently suppresses the metastasis of CD73+ tumors. Proc Natl Acad Sci U S A. 2013;110(36):14711–14716. doi: 10.1073/pnas.1308209110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Leclerc BG, Charlebois R, Chouinard G, Allard B, Pommey S, Saad F, et al. CD73 expression is an independent prognostic factor in prostate cancer. Clin Cancer Res. 2016;22(1):158–166. doi: 10.1158/1078-0432.CCR-15-1181. [DOI] [PubMed] [Google Scholar]
- 11.Hatfield SM, Kjaergaard J, Lukashev D, Schreiber TH, Belikoff B, Abbott R, et al. Immunological mechanisms of the antitumor effects of supplemental oxygenation. Sci Transl Med. 2015 doi: 10.1126/scitranslmed.aaa1260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Antonioli L, Pacher P, Vizi ES, Hasko G. CD39 and CD73 in immunity and inflammation. Trends Mol Med. 2013;19(6):355–367. doi: 10.1016/j.molmed.2013.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Synnestvedt K, Furuta GT, Comerford KM, Louis N, Karhausen J, Eltzschig HK, et al. Ecto-5'-nucleotidase (CD73) regulation by hypoxia-inducible factor-1 mediates permeability changes in intestinal epithelia. J Clin Invest. 2002;110(7):993–1002. doi: 10.1172/JCI15337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Niemela J, Henttinen T, Yegutkin GG, Airas L, Kujari AM, Rajala P, et al. IFN-alpha induced adenosine production on the endothelium: a mechanism mediated by CD73 (ecto-5'-nucleotidase) up-regulation. J Immunol. 2004;172(3):1646–1653. doi: 10.4049/jimmunol.172.3.1646. [DOI] [PubMed] [Google Scholar]
- 15.Burnstock G, Di Virgilio F. Purinergic signalling and cancer. Purinergic Signal. 2013;9(4):491–540. doi: 10.1007/s11302-013-9372-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Loi S, Pommey S, Haibe-Kains B, Beavis PA, Darcy PK, Smyth MJ, et al. CD73 promotes anthracycline resistance and poor prognosis in triple negative breast cancer. Proc Natl Acad Sci U S A. 2013;110(27):11091–11096. doi: 10.1073/pnas.1222251110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zhang B, Song B, Wang X, Chang XS, Pang T, Zhang X, et al. The expression and clinical significance of CD73 molecule in human rectal adenocarcinoma. Tumour Biol. 2015;36(7):5459–5466. doi: 10.1007/s13277-015-3212-x. [DOI] [PubMed] [Google Scholar]
- 18.Yegutkin GG, Marttila-Ichihara F, Karikoski M, Niemela J, Laurila JP, Elima K, et al. Altered purinergic signaling in CD73-deficient mice inhibits tumor progression. Eur J Immunol. 2011;41(5):1231–1241. doi: 10.1002/eji.201041292. [DOI] [PubMed] [Google Scholar]
- 19.Perrot I, Michaud HA, Giraudon-Paoli M, Augier S, Docquier A, Gros L, et al. Blocking antibodies targeting the CD39/CD73 immunosuppressive pathway unleash immune responses in combination cancer therapies. Cell Rep. 2019;27(8):2411–2425. doi: 10.1016/j.celrep.2019.04.091. [DOI] [PubMed] [Google Scholar]
- 20.Huang KC, Chiang SF, Chen TW, Chen WT, Yang PC, Ke TW, et al. Prognostic relevance of programmed cell death 1 ligand 2 (PDCD1LG2/PD-L2) in patients with advanced stage colon carcinoma treated with chemotherapy. Sci Rep. 2020;10(1):22330. doi: 10.1038/s41598-020-79419-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lin TY, Fan CW, Maa MC, Leu TH. Lipopolysaccharide-promoted proliferation of Caco-2 cells is mediated by c-Src induction and ERK activation. Biomedicine (Taipei) 2015;5(1):5. doi: 10.7603/s40681-015-0005-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Wang X, Sheu JJ, Lai MT, Yin-Yi Chang C, Sheng X, Wei L, et al. RSF-1 overexpression determines cancer progression and drug resistance in cervical cancer. Biomedicine (Taipei) 2018;8(1):4. doi: 10.1051/bmdcn/2018080104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Uhlen M, Fagerberg L, Hallstrom BM, Lindskog C, Oksvold P, Mardinoglu A, et al. Proteomics tissue-based map of the human proteome. Science. 2015;347(6220):1260419. doi: 10.1126/science.1260419. [DOI] [PubMed] [Google Scholar]
- 24.Uhlen M, Zhang C, Lee S, Sjostedt E, Fagerberg L, Bidkhori G, et al. A pathology atlas of the human cancer transcriptome. Science. 2017 doi: 10.1126/science.aan2507. [DOI] [PubMed] [Google Scholar]
- 25.Hoadley KA, Yau C, Hinoue T, Wolf DM, Lazar AJ, Drill E, et al. Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer. Cell. 2018;173(2):291–304. doi: 10.1016/j.cell.2018.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Huang KC, Lai CY, Hong WZ, Chang HY, Lin PC, Chiang SF, et al. A novel engineered AAV-based neoantigen vaccine in combination with radiotherapy eradicates tumors. Cancer Immunol Res. 2022 doi: 10.1158/2326-6066.CIR-22-0318. [DOI] [PubMed] [Google Scholar]
- 27.Huang KC, Chiang SF, Chang HY, Chen WT, Yang PC, Chen TW, et al. Engineered sTRAIL-armed MSCs overcome STING deficiency to enhance the therapeutic efficacy of radiotherapy for immune checkpoint blockade. Cell Death Dis. 2022;13(7):610. doi: 10.1038/s41419-022-05069-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Chen TW, Hung WZ, Chiang SF, Chen WT, Ke TW, Liang JA, et al. Dual inhibition of TGFbeta signaling and CSF1/CSF1R reprograms tumor-infiltrating macrophages and improves response to chemotherapy via suppressing PD-L1. Cancer Lett. 2022 doi: 10.1016/j.canlet.2022.215795. [DOI] [PubMed] [Google Scholar]
- 29.Huang KC, Chiang SF, Yang PC, Ke TW, Chen TW, Hu CH, et al. Immunogenic cell death by the novel topoisomerase i inhibitor tlc388 enhances the therapeutic efficacy of radiotherapy. Cancers (Basel) 2021 doi: 10.3390/cancers13061218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Huang KC, Chiang SF, Chen WT, Chen TW, Hu CH, Yang PC, et al. Decitabine augments chemotherapy-induced PD-L1 upregulation for PD-L1 blockade in colorectal cancer. Cancers (Basel) 2020 doi: 10.3390/cancers12020462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wennerberg E, Spada S, Rudqvist NP, Lhuillier C, Gruber S, Chen Q, et al. CD73 blockade promotes dendritic cell infiltration of irradiated tumors and tumor rejection. Cancer Immunol Res. 2020;8(4):465–478. doi: 10.1158/2326-6066.CIR-19-0449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Stagg J, Smyth MJ. Extracellular adenosine triphosphate and adenosine in cancer. Oncogene. 2010;29(39):5346–5358. doi: 10.1038/onc.2010.292. [DOI] [PubMed] [Google Scholar]
- 33.Messaoudi N, Cousineau I, Arslanian E, Henault D, Stephen D, Vandenbroucke-Menu F, et al. Prognostic value of CD73 expression in resected colorectal cancer liver metastasis. Oncoimmunology. 2020;9(1):1746138. doi: 10.1080/2162402X.2020.1746138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wu XR, He XS, Chen YF, Yuan RX, Zeng Y, Lian L, et al. High expression of CD73 as a poor prognostic biomarker in human colorectal cancer. J Surg Oncol. 2012;106(2):130–137. doi: 10.1002/jso.23056. [DOI] [PubMed] [Google Scholar]
- 35.Ren ZH, Lin CZ, Cao W, Yang R, Lu W, Liu ZQ, et al. CD73 is associated with poor prognosis in HNSCC. Oncotarget. 2016;7(38):61690–61702. doi: 10.18632/oncotarget.11435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Samanta D, Park Y, Ni X, Li H, Zahnow CA, Gabrielson E, et al. Chemotherapy induces enrichment of CD47(+)/CD73(+)/PDL1(+) immune evasive triple-negative breast cancer cells. Proc Natl Acad Sci U S A. 2018;115(6):E1239–E1248. doi: 10.1073/pnas.1718197115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kroemer G, Galluzzi L, Kepp O, Zitvogel L. Immunogenic cell death in cancer therapy. Annu Rev Immunol. 2013;31:51–72. doi: 10.1146/annurev-immunol-032712-100008. [DOI] [PubMed] [Google Scholar]
- 38.Beavis PA, Milenkovski N, Henderson MA, John LB, Allard B, Loi S, et al. Adenosine receptor 2A blockade increases the efficacy of anti-PD-1 through enhanced antitumor t-cell responses. Cancer Immunol Res. 2015;3(5):506–517. doi: 10.1158/2326-6066.CIR-14-0211. [DOI] [PubMed] [Google Scholar]
- 39.Bhattarai S, Freundlieb M, Pippel J, Meyer A, Abdelrahman A, Fiene A, et al. alpha, beta-methylene-ADP (AOPCP) derivatives and analogues: development of potent and selective ecto-5'-nucleotidase (CD73) inhibitors. J Med Chem. 2015;58(15):6248–6263. doi: 10.1021/acs.jmedchem.5b00802. [DOI] [PubMed] [Google Scholar]
- 40.Stagg J, Divisekera U, McLaughlin N, Sharkey J, Pommey S, Denoyer D, et al. Anti-CD73 antibody therapy inhibits breast tumor growth and metastasis. Proc Natl Acad Sci U S A. 2010;107(4):1547–1552. doi: 10.1073/pnas.0908801107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Allard B, Pommey S, Smyth MJ, Stagg J. Targeting CD73 enhances the antitumor activity of anti-PD-1 and anti-CTLA-4 mAbs. Clin Cancer Res. 2013;19(20):5626–5635. doi: 10.1158/1078-0432.CCR-13-0545. [DOI] [PubMed] [Google Scholar]
- 42.Hay CM, Sult E, Huang Q, Mulgrew K, Fuhrmann SR, McGlinchey KA, et al. Targeting CD73 in the tumor microenvironment with MEDI9447. Oncoimmunology. 2016;5(8):e1208875. doi: 10.1080/2162402X.2016.1208875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Vogt TJ, Gevensleben H, Dietrich J, Kristiansen G, Bootz F, Landsberg J, et al. Detailed analysis of adenosine A2a receptor (ADORA2A) and CD73 (5'-nucleotidase, ecto, NT5E) methylation and gene expression in head and neck squamous cell carcinoma patients. Oncoimmunology. 2018;7(8):e1452579. doi: 10.1080/2162402X.2018.1452579. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Chen Q, Pu N, Yin H, Zhang J, Zhao G, Lou W, et al. CD73 acts as a prognostic biomarker and promotes progression and immune escape in pancreatic cancer. J Cell Mol Med. 2020;24(15):8674–8686. doi: 10.1111/jcmm.15500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Huang KC, Chiang SC, Ke TW, Chen TW, Hu CH, Yang PC, et al. DNMT1 constrains IFNβ-mediated anti-tumor immunity and PD-L1 expression to reduce the efficacy of radiotherapy and immunotherapy. OncoImmunology. 2021;10(1):1989790. doi: 10.1080/2162402X.2021.1989790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wang YJ, Fletcher R, Yu J, Zhang L. Immunogenic effects of chemotherapy-induced tumor cell death. Genes Dis. 2018;5(3):194–203. doi: 10.1016/j.gendis.2018.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Young CNJ, Gorecki DC. P2RX7 purinoceptor as a therapeutic target-the second coming? Front Chem. 2018;6:248. doi: 10.3389/fchem.2018.00248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Tsukui H, Horie H, Koinuma K, Ohzawa H, Sakuma Y, Hosoya Y, et al. CD73 blockade enhances the local and abscopal effects of radiotherapy in a murine rectal cancer model. BMC Cancer. 2020;20(1):411. doi: 10.1186/s12885-020-06893-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Zhang B, Cheng B, Li FS, Ding JH, Feng YY, Zhuo GZ, et al. High expression of CD39/ENTPD1 in malignant epithelial cells of human rectal adenocarcinoma. Tumour Biol. 2015;36(12):9411–9419. doi: 10.1007/s13277-015-3683-9. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.