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The relationship between expression of PD-L1 and HIF-1α in glioma cells under hypoxia

Xing-chen Ding, Liang-liang Wang, Xue-dong Zhang and 10 more

Journal of Hematology & Oncology · 2021 · CC BY

doi:10.1186/s13045-021-01102-5

Abstract

Supplementary Information. The online version contains supplementary material available at 10.1186/s13045-021-01102-5.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 20, 2026. Paragraph numbers are ours, so an answer can point at one.

To the Editor

In clinical, the blockade of the PD-1/PD-L1 pathway havn’t been well-confirmed to prolong OS of glioma patients. With increasing malignancy, hypoxia as a major tumor microenvironment factor widely exhibit in glioma, however, the influence of hypoxia on tumor immune escape remains unclearly. Here, we aimed to explore the relationship between the PD-L1 and HIF-1α in glioma, and to investigate their prognostic values.

PD-L1 is wildly used as a candidate biomarker for predicting patients that would respond to anti-PD-1/PD-L1 immunotherapy, but not in glioma. We analyzed RNA-seq data from a cohort (640 glioma patients) in CGGA dataset and found that PD-L1 is positively correlated with HIF-1α (Additional file 1: Fig. S1, Additional file 2: S2). To determine this, the PD-L1 and HIF-1α levels in 120 glioma patients’ tissues were detected by immunohistochemical (Fig. 1a, Additional file 4: Table S1). Fifty patients (41.7%) were classified as PD-L1 positive (≥ 5%). PD-L1 was positively associated with tumor grade (Fig. 1b, Additional file 5: Table S2). Moreover, our clinical data showed that high PD-L1 was significantly related to high HIF-1α (r = 0.412, P < 0.001) (Fig. 1b). These findings were consistent with the external central nervous system tumors.

Next, we investigated the correlation of PD-L1/HIF-1α expression and the OS of these glioma patients. The OS in either PD-L1 or HIF-1α positive group was significantly poorer than that in negative group (Fig. 1c). Subsequently, we classified all the patients with combining PD-L1 and HIF-1α expression into four subgroups. The Kaplan–Meier curves indicated that the patients in PD-L1(+) HIF-1α (+) group had worse OS than those in PD-L1(−) HIF-1α (−) group (P < 0.0001) (Fig. 1c). Univariate analysis identified PD-L1 ≥ 5%, HIF-1α ≥ 1%, HGG, and older age as unfavorable prognostic predictors (Additional file 6: Table S3). Multivariate analysis was also performed and indicated that both PD-L1 and HIF-1α expression were independent poor prognostic factors (Additional file 6: Table S3). We also found the consistent results in primary glioma patients in CGGA dataset (Additional file 2: Fig. S2).

To further verify the relationship between PD-L1 and HIF-1α, we cultured U251 and U343 glioma cell lines under hypoxic condition for different time and detected the PD-L1 expression. The western blot results showed higher HIF-1α and PD-L1 levels in hypoxia condition (1% O2) for either 24-, 48-, or 72-h culturing than those in control condition (21% O2) (Additional file 3: Fig. S3). Given these data, we used 1% O2 (72 h) as the hypoxia condition for further experiments. Similarly, we observed that PD-L1 expression was also increased with the hypoxia mimic CoCl2 treatment (Additional file 3: Fig. S3).

To further dissect the roles of the HIF-1α in PD-L1 up-regulation under hypoxia, we first knocked down HIF-1α using siRNA or inhibited HIF-1α activity using HIF-1α inhibitor (PX-478) and then detected PD-L1 expression. The results showed that either HIF-1α knockdown or PX-478 treatment can significantly decrease PD-L1 expression in glioma cells under hypoxia (Fig. 2a, b, Additional file 7: Table S4 and Additional file 8: Table S5). Given that HIF-1α protein can activate its target genes via directly binding to their promoter, we verified whether PD-L1 is a direct target of HIF-1α in glioma cells using ChIP-qPCR assay. The results showed that HIF-1α directly interacts with the PD-L1 promoter region (~ 0.5 kb proximal to the transcription start site) (Fig. 2c and Additional file 9: Table S6). Furthermore, the co-staining PD-L1 and HIF-1α in glioma murine model showed that PD-L1 was highly express in hypoxic regions of tumors (Fig. 2d). These suggest that hypoxia upregulated PD-L1 via increasing HIF-1α in glioma cells.

We hypothesized that combining anti–PD-L1 and HIF-1α inhibitor would trigger an antitumor effect. Thus, we inoculated GL261 cells into wild type mice and treated the mice with anti–PD-L1 antibody and/or HIF-1α inhibitor. The combination treatment exerts a more pronounced antitumor effect, assessed in terms of both tumor growth and survival, than each monotherapy (Fig. 2e, f). Of interest was that, in situ glioma model (Luci+GL261), PX-478 can also enhance the intracranial efficacy of anti-PD-L1 antibody (Fig. 2g). Immunologically, our FACS results showed that the combination treatment significantly increased the percentage of tumor-infiltrated CD4+ T, CD8+ T, CD11c+ DC (Fig. 2h) and also decreased PD-L1 expression (Fig. 2i). Moreover, we also found the increased numbers of cytotoxic CD8+ T cells (IFNγ+CD8+) (Fig. 2j). Collectively, these indicate that combination treatment can reverse the immunosuppression microenvironment in glioma.

Our study demonstrated that positive relationship between HIF-1α and PD-L1 in glioma and provide the evidence that targeting HIF-1α can boost anti-PD-1/PD-L1 efficacy for glioma treatment.

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