Literature DB >> 27162536

PD-L1 Expression Is Associated with Tumor FOXP3(+) Regulatory T-Cell Infiltration of Breast Cancer and Poor Prognosis of Patient.

Zhenhua Li1, Pengzhi Dong2, Meijing Ren1, Yawen Song1, Xiaolong Qian1, Yiling Yang1, Shuai Li1, Xinmin Zhang3, Fangfang Liu1.   

Abstract

BACKGROUND: Expression of PD-L1 has been estimated to predict the therapeutic potential of PD-L1 inhibition in solid tumors. Recent studies have demonstrated that PD-L1 plays a critical role in regulatory T-cell (Treg) development and functional maintenance. Although increases in FOXP3(+)Treg infiltration and PD-L1 expression have been revealed in several malignancies, their correlation in human breast tumors is as yet unclear.
METHODS: Whole-tissue sections from 501 patients with breast cancer were examined for PD-L1 and FOXP3 expression by immunohistochemistry. Correlation between their expressions and the association with clinicopathological features, intrinsic tumor subtypes and patient's prognosis were studied.
RESULTS: PD-L1 expression and FOXP3(+)Treg infiltrates in tumor tissue demonstrated a high correlation (rs =0.334, p<0.001) in this cohort of breast cancer patients. High PD-L1 expression and increased FOXP3(+)Treg infiltrates were both associated with high histological grade, negative ER and PR status, and aggressive intrinsic tumor subtypes, especially the basal-like subtype. Tumors with concomitant high expressions of the two markers had the worst prognosis. Multivariate analysis proved both markers to be the independent predictors for decreased overall survival of patients, particularly in the basal-like subtype.
CONCLUSIONS: The results suggest that PD-L1 and FOXP3(+)Tregs may work synergistically and their up-regulated expressions promote tumor immune evasion in breast cancer. Combinatorial immunotherapeutic approaches aiming on blocking PD-L1 and depleting Tregs might improve therapeutic efficacy in breast cancer patients, especially those with basal-like carcinoma.

Entities:  

Keywords:  Breast cancer; FOXP3+Tregs; Intrinsic subtype; PD-L1; Prognosis.

Year:  2016        PMID: 27162536      PMCID: PMC4860794          DOI: 10.7150/jca.14549

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Programmed death ligand 1 (PD-L1) is a member of the B7 superfamily. It is a 40-kDa transmembrane protein that is encoded by CD274 gene located on chromosome 9 1. Upregulation of PD-L1 has been described in several malignancies and closely associated with the clinicopathological status of patients with solid tumors 2-4. Previous studies have demonstrated abundant PD-L1 molecules were expressed by both tumor cells and infiltrating immune cells and its inhibition result in an enduring clinical response in recent clinical trials of several solid tumors 5-8. Recently, PD-L1 expression has been studied to predict clinical response to PD-L1 inhibition in order to estimate the patients who may benefit from the therapy 6. However, its expression and impact on the prognosis of patients with breast cancer is controversial in the limited reports 9-12. Regulatory T cells (Tregs), a unique subset of CD4+ helper T cells characterized by the CD4+ CD25+ phenotype, can suppress proliferation and cytokine secretion of effector T lymphocytes through immunoregulation. FOXP3, a forkhead helix transcription factor, appears to function as a master regulator in the development and control of Tregs 13, 14, and is regarded as the most specific and reliable surface marker of Tregs 15-17. FOXP3 is considered a biomarker and prognostic factor for human malignant tumors 18. In our previous study with 1,270 samples of whole-tissue sections, intratumoral infiltration by FOXP3+ Tregs was highly correlated with the intrinsic subtype and was revealed as an independent prognostic predictor for breast cancer patients 19, 20. Persuasive evidence has suggested that PD-L1 plays a pivotal role in the induction and maintenance of Tregs that leads to expansion of Tregs in tumor microenvironment and these induced Tregs (iTregs) then inhibit T cell responses to tumor 21-24. In vitro, PD-L1-coated beads can induce Tregs in the absence of exogenous TGF-β, indicating that PD-L1 signaling can facilitate the development of iTregs 21. In vivo, blocking PD-L1 signaling abolished induction in a tumor-induced Treg conversion model 25. So far, except for these in vitro or animal models, the link between PD-L1 expression in tumor cell and the infiltration of Tregs has been evaluated in patients with gastric and colorectal carcinoma 26-28. However, this relevancy is as yet unclear in patients with breast cancer. In present study, we evaluated the expression of PD-L1 and the infiltration of FOXP3+ Treg in whole-tissue sections from a large cohort of 501 breast carcinomas, and further investigated their association with the clinicopathological features of the tumors, the intrinsic tumor subtypes and the prognosis of patients, according to REMARK recommendations 29.

Materials and methods

Specimen selection and clinical information

We selected 501 continuous cases of invasive breast carcinoma diagnosed at the Department of Breast Cancer Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China in 2004 that were included in the prior study 19. It included 439 invasive ductal carcinomas not otherwise specified (NOS-IDC), 18 invasive lobular carcinomas (ILC) and 44 carcinomas of other histologic types. The patients were followed up for 1-80 months, with a median of 64 months, and the median age of the patients at diagnosis was 53 years (range 29-83 years). All the patients presented with tumors that were confined to the breast, without evidence of distant metastasis or skin involvement, and all underwent surgical excision with axillary lymph node dissection 19. No patients had received neoadjuvant chemotherapy or preoperative radiation therapy. Postoperatively, 461 (92.0%) patients received adjuvant chemotherapy, 195 (38.9%) received radiation therapy, and 350 (69.9%) received endocrine therapy. Patient's consent for research was obtained prior to surgery and the research was given official approval by the Institutional Research and Ethical Committee of Tianjin Medical University Cancer Institute and Hospital.

Immunohistochemistry

Immunohistochemistry for PD-L1 and FOXP3 was performed on whole-tissue sections using standard procedures. Briefly, 4-µm tissue sections were sequentially dewaxed and rehydrated using xylene and graded alcohol washes. Antigen retrieval was performed at 121°C for 2 min using citrate buffer, pH 6.0. After serial blocking with hydrogen peroxide and normal goat serum, the sections were incubated with a primary polyclonal antibody against PD-L1 (Abcam, ab58810, polyclonal, 1:500 dilution, Cambridge, UK) for 16 h at 4°C. The sections were then sequentially incubated with biotinylated goat anti-mouse immunoglobulin and peroxidase-conjugated streptavidin (DAKO). The enzyme substrate was 3,3'-diaminobenzidine tetra-hydrochloride. Incubation of sections with phosphate-buffered saline alone served as a negative control. PD-L1 expression in cytoplasm and/or on cellular membrane of tumor cells was considered positive and was quantified using the Histo-score (H-score) system by evaluation of the entire slide. A case was scored by the intensity (1+ = weak, 2+ = moderate, 3+ = strong) (Fig. 1) and the percentage of staining in invasive tumor cells. The H-score was calculated using the following formula: (3 × percentage of cells strong staining) + (2 × percentage of cell with moderate staining) + (1 × percentage of cells with weak staining), with the possible scores ranging from 0 to 300. PD-L1 expression was classified into two groups according to a cut-off H-score of 100 (0-99 = negative expression; 100-300 = positive expression).
Figure 1

Representative PD-L1 staining intensities. Staining was localized to the cytoplasm and to the membrane of breast cancer cells. A, Intensity 0, no staining; B, Intensity 1+, weak staining; C, Intensity 2+, moderate staining; D, Intensity 3+, strong staining. A-D, original magnification × 200; inset ×400.

Immunohistochemistry for FOXP3 and its scoring were described in prior study 19. As previously described, the infiltrating density of intratumoral FOXP3+ Tregs was categorized as high or low relative to the median of 11 cells/0.0625 mm2 as the cutoff value.

Statistical analysis

Statistical analyses were performed with SPSS 18.0 software (SPSS, Chicago, IL). Spearman's rank-correlation test was used to assess the association of PD-L1 expression with FOXP3+ Treg infiltration and clinicopathological characteristics. Chi-square tests were used to compare PD-L1 expression and Treg infiltration among intrinsic subtypes. The cumulative survival (overall survival, OS; recurrence-free survival, RFS) times were calculated using the Kaplan-Meier method and analyzed with the log-rank test. Univariate and multivariate analyses were conducted based on the Cox proportional hazards regression model. All tests were two-sided, and a P value of less than 0.05 was considered statistically significant.

Results

Correlation of PD-L1 expression with FOXP3+ Treg infiltration and clinicopathological features

Among the 501 invasive breast cancer patient samples, 231 cases (46.1%) exhibited PD-L1 expression and 271 (54.1%) cases exhibited high FOXP3+ Treg infiltration. Significant correlation between PD-L1 expression and FOXP3+ Treg infiltration in breast cancer tissue was identified (r=0.334, p<0.001) (Table 1).
Table 1

Associations between PD-L1 expression and clinicopathological parameters.

PD-L1 expressionFOXP3+ Tregs
Clinicopathological parametersNegativen (%)Positiven (%)rsP*Lown(%)Highn(%)rsP*
No. of patientsAge, years270(53.9)231(46.1)230(45.9)271(54.1)
< 50142(57.7)104(42.3)0.0750.091116(47.2)130(52.8)0.0250.583
≥50128(50.2)127(49.8)114(44.7)141(55.3)
Tumor size, cm
≤276(55.1)62(44.9)0.0150.74468(49.3)70(50.7)0.0420.352
> 2194(53.4)169(46.6)162(44.6)201(55.4)
Histological grade
Grade 122(57.9)16(42.1)0.1180.00829(76.3)9(23.7)0.208<0.001
Grade 2192(57.7)141(42.3)159(47.7)174(52.3)
Grade 356(43.1)74(56.9)42(32.3)88(67.7)
Lymph node status
Negative136(58.4)97(41.6)0.1250.005110(47.2)123(52.8)0.0570.203
1 to 367(59.8)45(40.2)57(50.9)55(49.1)
4 to 933(45.8)39(54.2)35(48.6)37(51.4)
10 or more34(40.5)50(59.5)29(34.5)55(65.5)
ER status
Negative76(45.2)92(54.8)-0.1230.00633(19.6)135(80.4)-0.374<0.001
Positive194(58.3)139(41.7)197(59.2)136(40.8)
PR status
Negative93(44.7)115(55.3)-0.155<0.00153(25.5)155(74.5)-0.345<0.001
Positive177(60.4)116(39.6)177(60.4)116(39.6)
HER-2 status
Negative218(55.5)175(44.5)1.8280.176192(48.9)201(51.1)0.1130.012
Positive52(48.1)56(51.9)38(35.2)70(64.8)
Molecular subtypes
Luminal A116(63.0)68(37.0)0.008**125(67.9)59(32.1)<0.001**
Luminal B64(54.2)54(45.8)60(50.8)58(49.2)
Luminal HER-235(51.5)33(48.5)25(36.8)43(63.2)
HER-2-enriched17(42.5)23(57.5)10(25.0)30(75.0)
Basal-like38(41.8)53(58.2)10(11.0)81(89.0)
FOXP3+ Tregs(cells / 0.0625 mm2)
Low (<11)171(71.2)69(28.8)0.334<0.001
High (≥11)99(37.9)162(62.1)

*P-values were calculated by Spearman's rank-correlation test to assess the association of PD-L1 expression and FOXP3+ Treg infiltration with clinicopathological characteristics.

**PD-L1 expression and FOXP3+ Treg infiltration were compared between intrinsic subtypes by the Chi-square test (χ2=13.821; χ2=90.941).

Moreover, PD-L1 expression and FOXP3+ Treg infiltration were both positively associated with a high histological grade (r=0.118, p=0.008; r=0.208, p<0.001), negative ER (r=-0.123, p=0.006; r=-0.374, p<0.001) and PR status (r=-0.155, p<0.001; r=-0.345, p<0.001), and the intrinsic subtype of breast cancer (χ=13.821, p=0.008; χ=90.941, p=0.001) (Table 1). Interestingly, the order of intrinsic subtypes in which the rate of FOXP3+ Treg infiltration increased (Luminal A < Luminal B < Luminal HER2 < HER2-enriched < Basal-like breast cancer) was entirely consistent with the order in which the PD-L1 expression rate increased (Table 1, Fig. 2). The expression of the two proteins were both inversely correlated with the intrinsic subtypes of carcinomas in term of their known prognostic significance.
Figure 2

Percentage of patients with different breast cancer intrinsic subtypes exhibiting different levels of FOXP3+ Treg infiltration (***p<0.001) and PD-L1 expression (**p=0.008).

Prognostic significance of PD-L1 expression and FOXP3+ Treg infiltration

Univariate analysis revealed that PD-L1 expression was an unfavorable predictor for OS and RFS (HR=2.544, p<0.001; HR=2.262, p<0.001) (Table 2; Fig. 3). Consistent with the results in prior study 19, infiltration of FOXP3+ Tregs was also an unfavorable predictor of OS and RFS in univariate analysis (HR=4.330, P<0.001; HR=2.418, P=0.002) (Table 2; Fig. 3). At multivariate analysis, after adjusting for age, tumor size, grade, lymph node stage, ER, PR and HER2 status, chemotherapy, radiotherapy and endocrine therapy, both PD-L1 expression and FOXP3+ Treg infiltration were independent prognostic factors for OS (HR=1.874, p=0.044; HR=3.178, p=0.003, respectively) and RFS (HR=1.725, p=0.044; HR=2.114, p=0.009, respectively) (Table 3).
Table 2

Univariate analysis of pathological features, PD-L1 expression and FOXP3+ Treginfiltration with OS and RFS in breast cancer patients

OSRFS
VariableHR95% CIPHR95% CIP
Age, years (<50 vs.≥50)1.0170.661-1.5640.9390.9840.664-1.4600.937
Tumor size, cm (≤2 vs. >2)1.1880.718-1.9670.5021.0760.682-1.6950.754
Histological Grade (I vs. II vs. III)2.1161.413-3.171<0.0012.0751.437-2.997<0.001
Lymph node stage(N0 vs. N1 vs. N2 vs. N3)2.1031.725-2.563<0.0012.0451.709-2.446<0.001
ER status (negative vs.positive)0.3890.251-0.600<0.0010.4820.325-0.716<0.001
PR status s(negative vs. positive)0.4370.279-0.684<0.0010.5420.363-0.8080.003
HER-2 status (negative vs. positive)2.0871.315-3.314<0.0011.7531.135-2.7090.011
PD-L1 (negative vs. positive)2.5441.607-4.028<0.0012.2621.498-3.416<0.001
FOXP3+ Tregs (low vs. high)4.3302.101-8.926<0.0012.4181.400-4.1780.002
Chemotherapy (No vs. Yes)6.3930.890-45.9320.0657.9291.106-56.8590.039
Radiotherapy (No vs. Yes)2.5961.474-4.5720.0012.6491.608-4.364<0.001
Endocrine therapy (No vs. Yes)0.3580.233-0.552<0.0010.4700.314-0.703<0.001

Lymph node stage: N0, indicates no lymph node metastasis; N1, 1-3 lymph node metastasis; N2, 4-9 lymph node metastasis; N3, ≥10 lymph node metastasis.

HR, hazard ratio; CI, confidence interval; OS: overall survival; RFS: recurrence-free survival.

Figure 3

Prognostic significance of PD-L1 expression alone or combined with evaluation of FOXP3+ Tregs in breast cancer patients. Kaplan-Meier survival curve for (A) OS and (B) RFS depending on the expression of PD-L1. (C) OS and (D) RFS depending on the tumor FOXP3+ Treg infiltration. (E) OS and (F) RFS depending on the PD-L1 expression combined with the tumor FOXP3+ Treg infiltration. p-values were calculated by the log-rank test.

Table 3

Multivariate analysis of pathological features, PD-L1 expression and FOXP3+ Treg infiltration with OS and RFS in breast cancer patients.

OSRFS
VariableHR95% CIPHR95% CIP
Age, years (<50 vs.≥50)0.9240.600-1.4240.7200.9020.607-1.3410.611
Tumor size, cm (≤2 vs. >2)1.2370.747-2.0480.4091.1070.682-1.7960.681
Histological Grade (I vs. II vs. III)1.5461.017-2.3500.0421.5621.072-2.2760.020
Lymph node stage (N0 vs. N1 vs. N2 vs. N3)2.0301.650-2.498<0.0011.9941.653-2.405<0.001
ER status (negative vs.positive)0.5590.332-0.9400.0280.5840.362-0.9410.027
PR statu s(negative vs.positive)0.8880.376-2.0950.7850.8920.444-1.7960.750
HER-2 status (negative vs. positive)1.8431.141-2.9790.0121.9401.127-3.3400.017
PD-L1 (negative vs. positive)1.8741.018-3.4510.0441.7251.015-2.9290.044
FOXP3+ Tregs (low vs. high)3.1781.477-6.8930.0032.1141.205-3.7060.009
Chemotherapy (No vs. Yes)1.0670.134-8.5290.9511.9460.252-15.010.523
Radiotherapy (No vs. Yes)0.4660.192-1.1310.0910.4860.215-1.1010.084
Endocrine therapy (No vs. Yes)0.5320.131-2.1560.3770.6070.180-2.0500.421

Lymph node stage: N0, indicates no lymph node metastasis; N1, 1-3 lymph node metastasis; N2, 4-9 lymph node metastasis; N3, ≥10 lymph node metastasis.

HR, hazard ratio; CI, confidence interval; OS: overall survival; RFS: recurrence-free survival.

In subset analyses by intrinsic subtypes, PD-L1 expression was associated with decreased OS and/or RFS in the luminal A, luminal B and basal-like subtypes by univariate and multivariate analysis (Table 4). FOXP3+ Treg infiltration was associated with decreased OS and/or RFS in the luminal-HER2, HER2-enriched and basal-like subtypes by univariate and multivariate analysis (Table 5). We noticed that, in the basal-like subtype, both PD-L1 (HR=2.600, p=0.046) and FOXP3+ Tregs (HR=8.139, p=0.043) proved to be independent unfavorable prognostic factors for OS by multivariate analysis adjusting by age, tumor size, grade and lymph node status (Table 4 and 5, Fig. 4).
Table 4

Univariate and multivariate analyses of intrinsic subtypes regarding the effect of PD-L1 expression on OS and RFS in breast cancer patients.

OSRFS
Intrinsic subtypeHR95% CIPHR95% CIP
Univariate analysis
Luminal A4.2871.072-17.1450.0402.3460.953-5.7740.064
Luminal B3.3001.051-10.3660.0413.9981.030-12.2650.015
Luminal HER23.0160.928-9.8070.0662.0680.735-5.8170.168
HER2-enriched3.6010.798-16.2550.0964.3530.982-19.2980.053
Basal-like2.8351.124-7.1530.0272.5371.058-6.0820.037
Multivariate analysis*
Luminal A4.1181.029-16.4720.0452.4370.982-6.0510.055
Luminal B3.0780.970-9.7720.0563.4711.112-10.8310.032
Luminal HER22.9900.898-9.9610.0742.0540.713-5.9120.182
HER2-enriched3.5580.773-16.3710.1034.2430.946-19.0330.059
Basal-like2.6001.016-6.6520.0462.3170.956-5.6150.063

*The multivariate analysis of PD-L1 expression in each intrinsic subtype was adjusted by age, tumor size, histological grade, lymph node status and FOXP3+ Tregs

HR, hazard ratio; CI, confidence interval; OS: overall survival; RFS: recurrence-free survival.

Table 5

Univariate and multivariate analyses of intrinsic subtypes regarding the effect of FOXP3+ Tregs on OS and RFS in breast cancer patients

OSRFS
Intrinsic subtypeHR95% CIPHR95% CIP
Univariate analysis
Luminal A2.0000.745-5.3710.1691.8830.881-4.0230.102
Luminal B3.7690.800-17.7530.0932.3090.813-6.5570.116
Luminal HER24.7041.272-17.3950.0203.9981.250-12.7850.019
HER2-enriched3.7631.193-11.8690.0242.5590.895-7.3170.080
Basal-like7.7401.044-57.3550.0458.3871.134-62.0360.037
Multivariate analysis*
Luminal A1.9880.740-5.3400.1731.9060.892-4.0720.096
Luminal B3.3390.709-15.7240.1272.1300.750-6.0500.156
Luminal HER26.0761.525-24.2080.0115.6411.640-19.4020.006
HER2-enriched4.4751.148-17.4520.0312.7560.958-7.9320.060
Basal-like8.1391.070-61.8950.0436.4820.838-50.1420.073

*The multivariate analysis of FOXP3+ Tregs in each intrinsic subtype was adjusted by age, tumor size, histological grade, lymph node status and PD-L1 expression

HR, hazard ratio; CI, confidence interval; OS: overall survival; RFS: recurrence-free survival.

Figure 4

Prognostic significance of PD-L1 expression alone or combined with FOXP3+ Treg infiltration in patients with the basal-like subtype of breast cancer. Kaplan-Meier survival curves for (A) OS and (B) RFS depending on the expression of PD-L1. (C) OS and (D) RFS depending on the tumor FOXP3+ Treg infiltration. (E) OS and (F) RFS depending on the PD-L1 expression combined with the tumor FOXP3+ Treg infiltration. p-values were calculated by the log-rank test.

Prognostic significance of concomitant PD-L1 expression and FOXP3+ Tregs

One hundred and sixty-two (32.3%) tumors showed concurrence of PD-L1 expression and increased FOXP3+ Treg infiltration, while 171 (34.1%) tumors exhibited negative PD-L1 expression and decreased FOXP3+ Treg infiltration, and the other 168 (33.5%) tumors demonstrated neither of the above (Table 1). The group of the patients with the concomitant PD-L1 expression and increased FOXP3+ Treg infiltration showed the worst OS and RFS, while those with negative PD-L1 and low FOXP3+ Tregs demonstrated the best OS and RFS among the 3 groups. Patients with other combinative pattern of PD-L1 expression and Tregs infiltration exhibited OS and RFS in the middle of the groups (OS: χ=27.937, p<0.001; RFS: χ=17.467, p<0.001; Fig. 3). This result was particularly proved to be significant in the basal-like subtype (OS: χ=7.387, p=0.025; RFS: χ=6.950, p=0.031; Fig. 4).

Discussion

It has become clear that malignant cells must be able to successfully avoid immune surveillance to progress and metastasize. PD-L1, a co-inhibitory molecule, seems a major contributor to this process. PD-L1 induces cancer cell immune evasion by binding to its receptor PD-1 on activated T cells that results in tolerance of tumor-reactive T cells 30, 31, and in rendering tumor cells to be resistant to CD8+ T cells. FASL-mediated tumor cell lysis is also inhibited by PD1 and PD-L1 interaction 32. Recently, PD-L1 has been considered as an unfavorable predictor in a variety of malignancies 9, 11, 33-39. Two prior studies using tissue microarrays (TMAs) of large sample size obtained quite different PD-L1 protein expression rates and opposite associations with clinical outcome of breast cancer 11, 40. Ail et al reported PD-L1 expressed by tumor cell occurred in just 1.7% of tumors and associated with improved disease-specific survival. In contrast, Muenst et al. 11 found PD-L1 expression in 23.4 % of specimens and reported its association with higher tumor grade, lymph node metastasis, diminished ER expression, and decreased OS. Considering the limitations of TMAs, including their inability to represent PD-L1 expression and to capture the immune infiltration accurately due to intra-tumoral heterogeneity, we chose to use the whole-tissue sections for the evaluation of PD-L1 expression in 501 breast cancer samples and an H-score system was adopted for accurate scoring. The whole-tissue sections allowed reliable observation of tumor FOXP3+ Tregs infiltration and PD-L1 expression that facilitate the concomitant evaluation of the two markers per our previous experiences 19. In this study we found PD-L1 expressed by tumor cell in 46.1% of specimens which was even higher than 23.4% reported by Muenst et al. 11 used the same antibody clone and scoring system except for using TMA samples. However, their results of associations with vital clinicopathological parameters and patient prognosis were consistent with our findings. In addition, we also demonstrated a significant correlation between PD-L1 expression and the intrinsic molecular subtypes of the carcinomas. In two studies employing 44 and 69 cases of breast cancer separately 9, 10, Ghebeh et al. also identified that PD-L1 expression in tumor cells were associated with a higher tumor grade and negative ER and PR status. However, in their studies, no significant correlation with lymph node metastasis was found, and no follow-up information was provided. Two prior studies evaluated PD-L1 at the level of gene expression 12, 41. Schalper et al. 12 reported that 60% of breast tumors showed CD274 (PD-L1) mRNA expression in TMAs and was associated with increased tumor-infiltrating lymphocytes (TILs) and improved recurrence-free survival of breast cancer patients. Sabatier et al. 41 report that CD274 (PD-L1) was upregulated in 20% of tumors based on DNA microarray data and was not associated with survival in the whole population. However, the limitations of the sampling effect of TMAs and the possibility of poor correlation between PD-L1 RNA and protein expression should be considered. The authors also suggested that the translation of these findings into the clinical setting could benefit from whole-tissue-section estimation or in combination with PD-L1 protein detection. Profound evidence has shown that Tregs and the PD-L1/PD1 pathway are pivotal to the maintenance of peripheral immune tolerance, and may involve in the same pathway. A novel role of PD-L1 in sustaining the function of iTregs has been suggested. PD-L1 was found to modulate the signaling molecules that are critical for the conversion of naive T cells to Treg cells 42, 43. It can upregulate FOXP3 expression and therefore intensify its suppressive function 44. One previous report documented that the coexistence of FOXP3+ TILs and PD-L1+ TILs in breast cancer tissues is significantly correlated with unfavorable patient prognostic factors 45. The pivotal finding of the present study is to reveal the congregation of tumor cell PD-L1 expression and FOXP3+ Treg infiltration in the tumor microenvironment of breast cancer. The results pointed out to a possibility that PD-L1 signals might play an important role in immune suppression through regulating Tregs in the complicated suppressive network of breast cancer, although the accurate mechanism deserves is still elusive. Ongoing clinical trials targeting the potential PD-L1/PD-1 pathway have shown that PD-L1 inhibitors are safe, well-tolerated and have few autoimmune side effects 5, 46, 47. The development of new strategy is particularly urgent in the management of basal-like carcinoma patients where therapeutic options are still remarkably limited. Multiple previous observations, both in cell lines and in tumor samples are concordant with our finding of enriched PD-L1 in basal-like breast cancer 11, 33, 34, 40, 41. Recently, several clinical trials targeting the PD-L1/PD-1 axis in basal-like carcinoma have achieved tumor pathologically complete responses and improved patient's outcomes 48-50. In present study, we found that both PD-L1 and FOXP3 showed their highest levels and strong associations with poor prognosis in the basal-like subtype. The combined evaluation identified that patients with the concomitant presence of high PD-L1 expression and high FOXP3+ Treg infiltration had the worst prognosis. Given the limited options for basal-like subtype treatment, a combined strategy to block PD-L1/PD-1 axis with simultaneous depletion of Tregs should be reasonable in enhancing the therapeutic efficacy of these patients. The potential benefits of this model have been demonstrated in a recent study of mouse renal cell carcinoma, in which mice showed long-lasting protective immunity and complete tumor regression when such a therapeutic modality was applied 51. Despite these promising results, the specific implication of PD-L1 inhibitors on Treg function has not been reported and should be further explored in future studies of breast cancer.

Conclusion

The study demonstrates a significant correlation between two independent poor prognostic indicators of breast cancer: the tumor cell high PD-L1 expression and the increased tissue FOXP3+ Treg infiltrates. The results also suggest that PD-L1 and FOXP3+ Tregs work synergistically or participate in the same molecular pathway and their up-regulated expressions promote tumor immune evasion. The findings provide a theoretical basis for the development of immunotherapies targeting PD-L1 and FOXP3+ Tregs simultaneously in the treatment of breast cancer, especially the basal-like subtype carcinoma. These immunosuppressive molecules should be further explored to facilitate the development of anti-tumor immunotherapies for breast cancer.
  49 in total

1.  Murine vascular endothelium activates and induces the generation of allogeneic CD4+25+Foxp3+ regulatory T cells.

Authors:  Alexander Sasha Krupnick; Andrew E Gelman; Winfried Barchet; Steve Richardson; Friederike H Kreisel; Laurence A Turka; Marco Colonna; G Alexander Patterson; Daniel Kreisel
Journal:  J Immunol       Date:  2005-11-15       Impact factor: 5.422

2.  Programmed death 1 ligand signaling regulates the generation of adaptive Foxp3+CD4+ regulatory T cells.

Authors:  Li Wang; Karina Pino-Lagos; Victor C de Vries; Indira Guleria; Mohamed H Sayegh; Randolph J Noelle
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-02       Impact factor: 11.205

3.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

Review 4.  Therapeutic targeting of B7-H1 in breast cancer.

Authors:  Amal Hasan; Hazem Ghebeh; Cynthia Lehe; Rasheed Ahmad; Said Dermime
Journal:  Expert Opin Ther Targets       Date:  2011-08-28       Impact factor: 6.902

5.  Phase I study of single-agent anti-programmed death-1 (MDX-1106) in refractory solid tumors: safety, clinical activity, pharmacodynamics, and immunologic correlates.

Authors:  Julie R Brahmer; Charles G Drake; Ira Wollner; John D Powderly; Joel Picus; William H Sharfman; Elizabeth Stankevich; Alice Pons; Theresa M Salay; Tracee L McMiller; Marta M Gilson; Changyu Wang; Mark Selby; Janis M Taube; Robert Anders; Lieping Chen; Alan J Korman; Drew M Pardoll; Israel Lowy; Suzanne L Topalian
Journal:  J Clin Oncol       Date:  2010-06-01       Impact factor: 44.544

6.  Foxp3 programs the development and function of CD4+CD25+ regulatory T cells.

Authors:  Jason D Fontenot; Marc A Gavin; Alexander Y Rudensky
Journal:  Nat Immunol       Date:  2003-03-03       Impact factor: 25.606

7.  Immune regulation of T lymphocyte by a newly characterized human umbilical cord blood stem cell.

Authors:  Yong Zhao; Zhihua Huang; Meirigeng Qi; Ping Lazzarini; Theodore Mazzone
Journal:  Immunol Lett       Date:  2006-11-27       Impact factor: 3.685

Review 8.  The B7 family and cancer therapy: costimulation and coinhibition.

Authors:  Xingxing Zang; James P Allison
Journal:  Clin Cancer Res       Date:  2007-09-15       Impact factor: 12.531

9.  Targeting molecular and cellular inhibitory mechanisms for improvement of antitumor memory responses reactivated by tumor cell vaccine.

Authors:  W Scott Webster; R Houston Thompson; Kimberley J Harris; Xavier Frigola; Susan Kuntz; Brant A Inman; Haidong Dong
Journal:  J Immunol       Date:  2007-09-01       Impact factor: 5.422

10.  Clinical significance of programmed death-1 ligand-1 expression in patients with non-small cell lung cancer: a 5-year-follow-up study.

Authors:  Yan-bin Chen; Chuan-Yong Mu; Jian-An Huang
Journal:  Tumori       Date:  2012-11
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Review 1.  Microbiome, bile acids, and obesity: How microbially modified metabolites shape anti-tumor immunity.

Authors:  Laura M Sipe; Mehdi Chaib; Ajeeth K Pingili; Joseph F Pierre; Liza Makowski
Journal:  Immunol Rev       Date:  2020-05       Impact factor: 12.988

2.  Clinical and Immunologic Biomarkers for Histologic Regression of High-Grade Cervical Dysplasia and Clearance of HPV16 and HPV18 after Immunotherapy.

Authors:  Matthew P Morrow; Kimberly A Kraynyak; Cornelia L Trimble; Mark L Bagarazzi; Albert J Sylvester; Michael Dallas; Dawson Knoblock; Jean D Boyer; Jian Yan; Russell Vang; Amir S Khan; Laurent Humeau; Niranjan Y Sardesai; J Joseph Kim; Stanley Plotkin; David B Weiner
Journal:  Clin Cancer Res       Date:  2017-10-30       Impact factor: 12.531

Review 3.  The Role of Immune Escape and Immune Cell Infiltration in Breast Cancer.

Authors:  André Steven; Barbara Seliger
Journal:  Breast Care (Basel)       Date:  2018-02-02       Impact factor: 2.860

4.  Tumor-Localized Secretion of Soluble PD1 Enhances Oncolytic Virotherapy.

Authors:  Mee Y Bartee; Katherine M Dunlap; Eric Bartee
Journal:  Cancer Res       Date:  2017-03-17       Impact factor: 12.701

Review 5.  Enhancing cancer immunotherapy through nanotechnology-mediated tumor infiltration and activation of immune cells.

Authors:  Haifa Shen; Tong Sun; Hanh H Hoang; Jana S Burchfield; Gillian F Hamilton; Elizabeth A Mittendorf; Mauro Ferrari
Journal:  Semin Immunol       Date:  2017-09-23       Impact factor: 11.130

6.  Prognostic Role of Immune Markers in Triple Negative Breast Carcinoma.

Authors:  Hulya Sahin Ozkan; Mustafa Umit Ugurlu; Perran Fulden Yumuk; Handan Kaya
Journal:  Pathol Oncol Res       Date:  2020-07-17       Impact factor: 3.201

7.  Programmed cell death 1 (PD-1) receptor and programmed death ligand 1 (PD-L1) gene expression in primary breast cancer.

Authors:  Neelima Vidula; Christina Yau; Hope S Rugo
Journal:  Breast Cancer Res Treat       Date:  2021-04-28       Impact factor: 4.872

8.  Eya3 promotes breast tumor-associated immune suppression via threonine phosphatase-mediated PD-L1 upregulation.

Authors:  Rebecca L Vartuli; Hengbo Zhou; Lingdi Zhang; Rani K Powers; Jared Klarquist; Pratyaydipta Rudra; Melanie Y Vincent; Debashis Ghosh; James C Costello; Ross M Kedl; Jill E Slansky; Rui Zhao; Heide L Ford
Journal:  J Clin Invest       Date:  2018-05-14       Impact factor: 14.808

9.  The immune checkpoint protein PD-L1 induces and maintains regulatory T cells in glioblastoma.

Authors:  Joseph DiDomenico; Jonathan B Lamano; Daniel Oyon; Yuping Li; Dorina Veliceasa; Gurvinder Kaur; Leonel Ampie; Winward Choy; Jason B Lamano; Orin Bloch
Journal:  Oncoimmunology       Date:  2018-04-25       Impact factor: 8.110

10.  PD-L1 expression in malignant melanomas of the skin and gastrointestinal tract.

Authors:  Michiko Akiyama; Yoko Matsuda; Tomio Arai; Hidehisa Saeki
Journal:  Oncol Lett       Date:  2020-01-21       Impact factor: 2.967

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