ORIGINAL ARTICLE

Compositional alterations in immune cells from obese mice impair anti-tumor cytotoxicity in pancreatic ductal adenocarcinoma

Inae Jeong1,2 and Ok-Kyung Kim1,2*

1Division of Food and Nutrition, Chonnam National University, Gwangju, Republic of Korea; 2Human Ecology Research Institute, Chonnam National University, Gwangju, Republic of Korea

Popular scientific summary

Abstract

Background: Obesity is a major risk factor for pancreatic ductal adenocarcinoma (PDAC) and is associated with poor prognosis. Although metabolic and inflammatory disturbances linking obesity to PDAC progression are well-documented, the impact of obesity-induced immune dysfunction on the tumor microenvironment remains unclear.

Objective: This study aimed to elucidate the effects of obesity on the anti-tumor immune response in pancreatic cancer.

Design: Splenocytes isolated from mice fed a normal chow (NC) or high-fat diet (HFD) for 12 weeks were analyzed by flow cytometry. After co-culture with Panc02 cells, both splenocytes and PDAC cells (Panc02) were subjected to flow cytometry.

Results: Splenocytes derived from HFD-fed mice exhibited a markedly reduced abundance of CD8+ T and natural killer (NK) cells compared with those from NC-fed mice, despite unchanged cytokine-producing capacity. Co-culture experiments with Panc02 revealed that HFD-derived splenocytes significantly diminished tumor cell apoptosis, coinciding with reduced frequencies of CD8+ T and NK cells. Notably, while PD-1 expression on CD8+ T and NK cells remained stable, PD-L1 expression on Panc02 cells significantly decreased following co-culture with HFD-derived splenocytes.

Conclusions: These findings indicate that obesity impairs anti-tumor immunity in PDAC by reducing the abundance of cytotoxic lymphocytes, thereby limiting tumor cell apoptosis and PD-L1 induction.

Keywords: antitumor immunity; obesity; pancreatic ductal adenocarcinoma; tumor microenvironment; immunity; immune checkpoint

Citation: Food & Nutrition Research 2026, 70: 13589 - http://dx.doi.org/10.29219/fnr.v70.13589

Copyright: © 2026 Inae Jeong and Ok-Kyung Kim. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.

Received: 26 October 2025; Revised: 29 May 2026; Accepted: 31 May 2026; Published: 28 August 2026

*Ok-Kyung Kim, Division of Food and Nutrition and Human Ecology, Research Institute, Chonnam National University, Gwangju 61186, Republic of Korea., Email: 20woskxm@jnu.ac.kr

Competing interests and funding: The authors declare no potential conflicts of interests. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (RS-2022-NR071711 and RS-2026-25477439).

 

Pancreatic cancer is one of the most lethal malignancies, with an overall 5-year survival rate of less than 10%. This statistic is attributed to late diagnosis, aggressive biological behavior, and resistance to standard therapies. Among the various types of pancreatic cancer, pancreatic ductal adenocarcinoma (PDAC) accounts for most cases and is particularly challenging to treat. Despite advancements in surgical techniques, chemotherapy, and targeted therapies, the prognosis for PDAC remains poor, highlighting the urgent need to identify modifiable risk factors and underlying mechanisms that contribute to disease onset and progression (1).

Among the various risk factors associated with PDAC, obesity has emerged as a significant determinant of both cancer incidence and mortality (24). In a systematic review and meta-analysis of prospective studies conducted by Aune et al. (4), an increased risk of pancreatic cancer correlated with higher body mass index, waist circumference, and waist-to-hip ratio values. Previous mechanistic studies have generally attributed the association between obesity and pancreatic cancer to systemic metabolic alterations. Obesity-induced adipose tissue expansion leads to chronic low-grade inflammation, aberrant adipokine secretion, and insulin resistance, all of which create a tumor-permissive systemic environment (5, 6). While these processes have been proposed as primary drivers linking obesity to tumorigenesis, the impact of obesity-induced changes in immune cells on the tumor microenvironment (TME) and tumor–immune interactions remains unclear.

Recent evidence indicates that obesity-induced immune dysfunction encompasses both systemic and local immune compartments, characterized by impaired CD8+ T cell function, reduced natural killer (NK) cell frequency, and the emergence of regulatory or exhausted immune phenotypes (79). Considering that effective anti-tumor immunity relies on cytotoxic lymphocytes, obesity-driven alterations in these populations may represent a crucial yet underexplored mechanism contributing to impaired immune surveillance in pancreatic cancer.

This study aimed to investigate the effects of obesity on the anti-tumor activity of immune cells using a co-culture system involving PDAC cells (Panc02) and splenocytes derived from mice fed either a normal chow (NC) diet or a high-fat diet (HFD). By examining apoptosis induction in cancer cells, PD-L1 expression, and the functional dynamics of CD8+ T and NK cells, we elucidated the mechanisms by which obesity compromises anti-tumor immunity. These findings provide novel insights into how obesity alters the TME through immune cell modifications, thereby attenuating immune-mediated tumor suppression.

Materials and methods

Animals

Six-week-old C57BL/6J male mice were obtained from Central Lab Animal, Inc. (Seoul, Korea). The mice were housed under controlled environmental conditions (22–25°C, 50% humidity) with a 12-h light/dark cycle. Following a 1-week acclimatization period, the mice were randomly assigned to either a NC group or a HFD group (n = 8 mice). Randomization was performed using a computer-generated random sequence to ensure unbiased group allocation. To minimize potential confounding factors, cages were rotated weekly within the animal room, and handling and sampling were performed in a randomized order. All animal study protocols were approved by the Institutional Animal Care and Use Committee of Chonnam National University (CNU IACUC-YB-2022-19), and the animals were maintained in accordance with the university’s Guidelines for Animal Experiments.

Cell culture

Panc02, a murine PDAC cell line, was cultured in Dulbecco’s Modified Eagle Medium supplemented with 10% fetal bovine serum (FBS) and 1% penicillin–streptomycin. Mouse splenocytes were isolated by dissociating freshly harvested spleens through a 40-µm cell strainer, followed by red blood cell lysis. The isolated splenocytes were subsequently washed and resuspended in RPMI-1640 medium containing 10% FBS and 1% penicillin–streptomycin. For co-culture, splenocytes were seeded onto Panc02 cells at a ratio of 250:1 and incubated for 42 h prior to collection for analysis. All cultures were maintained in a humidified atmosphere of 5% CO2 at 37°C.

Flow cytometry

Dead cells were excluded using a Live/Dead Fixable Aqua Dead Cell Stain Kit (Thermo Fisher Scientific) following the manufacturer’s protocol. Intracellular cytokines were stained after treating the cells with a fixation/permeabilization buffer (Enzo Life Sciences). The following fluorescent-conjugated antibodies were utilized: tumor necrosis factor alpha (TNF-α)–fluorescein isothiocyanate (FITC) (#11-7321-82; Thermo Fisher Scientific), transforming growth factor beta (TGF-β)–phycoerythrin (PE) (#141404; BioLegend), interleukin-12 (IL-12)–allophycocyanin (APC) (#554480; BD Biosciences), cluster of differentiation (CD)4–FITC (#1540-02; SouthernBiotech), CD154–eFluor 450 (#48-1541-82; Thermo Fisher Scientific), CD3–eFluor 450 (#48-0032-82; Thermo Fisher Scientific), CD8–PE/cyanine 5.5 (CY5.5) (#1550-16; SouthernBiotech), interferon gamma (IFN-γ)–APC (#17-7311-82; Thermo Fisher Scientific), NK cell antigen 1.1 (NK1.1)–FITC (#11-5941-82; Thermo Fisher Scientific), CD107a–PE (#12-1071-82; Thermo Fisher Scientific), programmed death-ligand 1 (PD-L1)–APC (#LS-C764395; LSBio), and PD-1–APC–eFluor 780 (#47-9985-82; Thermo Fisher Scientific). Apoptosis was assessed using a FITC Annexin V Apoptosis Detection Kit I (BD Biosciences). Data were acquired using a CytoFLEX flow cytometer (Beckman Coulter, CA, USA) and analyzed with CytExpert software (Beckman Coulter).

Statistical analysis

All data are presented as the mean ± SD. To evaluate the effects of diet-induced splenocyte inoculation under defined co-culture conditions, differences between the two groups were analyzed using Student’s t-test in IBM SPSS Statistics for Windows (version 23.0; IBM Corp., Armonk, NY, USA). Statistical significance was set at P < 0.05.

Results

HFD feeding alters splenocyte composition but not cytokine profiles in mice

To investigate the direct impact of obesity on systemic immune cell populations, we analyzed splenocytes from NC- and HFD-fed mice. Flow cytometric analysis of intracellular cytokine expression revealed no significant differences in the frequency of TNF-α+, TGF-β+, or IL-12+ splenocytes between the two groups (Fig. 1a), suggesting that HFD feeding does not significantly alter the overall cytokine profile of splenocytes.

Fig 1
Fig. 1. Effects of high-fat diet on splenocyte cytokine expression and immune cell composition in mice. (a) Representative histograms and quantification of TNF-α+, TGF-β+, and IL-12+ splenocytes from mice fed a normal chow diet (NC-Spl) or high-fat diet (HFD-Spl). Flow cytometry plots or histograms of (b) CD4+ T cells, (c) CD8+ T cells, (d) IFN-γ+ CD8+ T cells, (e) CD3NK1.1+ cells, (f) CD3NK1.1+IFN-γ+ cells, and (g) CD3 NK1.1+ CD107a+ cells from NC-Spl or HFD-Spl. Data are expressed as the mean ± SD (n = 8). Statistical analyses were performed using Student’s t-test (*P < 0.05 vs. NC-Spl.).

Thereafter, we examined the distribution of T cell subsets. The proportion of CD4+ T cells was comparable between the NC and HFD groups (Fig. 1b). However, the abundance of CD8+ T cells was significantly reduced in the splenocytes of HFD-fed mice compared with that in the NC control group (P < 0.05; Fig. 1c). Functional assessment of CD8+ T cells indicated no significant difference in the frequency of IFN-γ-producing cells between the two groups (Fig. 1d). Analysis of NK cell populations revealed a significant reduction in CD3NK1.1+ NK cells in HFD-fed mice compared with that in their NC-fed counterparts (P < 0.05; Fig. 1e). In addition, the proportion of IFN-γ-producing NK cells also significantly decreased in the HFD group (P < 0.05; Fig. 1f), while NK cell degranulation, assessed by CD107a expression, remained unchanged (Fig. 1g).

These findings suggest that HFD feeding reduces the abundance of cytotoxic lymphocytes, particularly CD8+ T and NK cells, while cytokine production remains largely unaffected.

Splenocytes from HFD-fed mice exhibit impaired cytotoxic activity against Panc02 cells

To investigate the impact of obesity on the cytotoxic function of immune cells, Panc02 cells were co-cultured with splenocytes isolated from NC- or HFD-fed mice. Microscopic images showed that Panc02 cells co-cultured with HFD-derived splenocytes exhibited higher cell density than those co-cultured with NC-derived splenocytes (Fig. 2a). Flow cytometric analysis utilizing annexin V/PI staining further revealed that NC-derived splenocytes markedly induced apoptosis in Panc02 cells, with over 50% of cells undergoing apoptotic death. In contrast, the apoptotic activity of the HFD-derived splenocyte group dramatically decreased to less than 10% (P < 0.001; Fig. 2b). These findings indicate that obesity significantly impairs the capacity of splenocytes to induce apoptosis in Panc02 cells.

Fig 2
Fig. 2. Effects of high-fat diet on splenocyte-mediated apoptosis in Panc02 cells. (a) Microscopic images of Panc02 cells following 42 h co-culture with NC-Spl and HFD-Spl. (b) Annexin V/PI flow cytometric analysis assessing apoptosis in Panc02 cells after co-culture with NC- or HFD-derived splenocytes. Data are expressed as the mean ± SD (n = 8). Statistical analyses were performed using Student’s t-test (**P < 0.01, ***P < 0.001 vs. NC-Spl.).

Splenocytes from HFD-fed mice diminish CD8+ T and NK cell abundance in co-culture with Panc02 cells

To examine the influence of obesity on the immune response during tumor–immune cell interactions, we analyzed splenocyte subsets following co-culture with Panc02 cells. The proportion of CD4+ T cells remained unchanged between NC- and HFD-derived splenocyte groups (Fig. 3a). Nonetheless, the frequency of CD8+ T cells significantly decreased in the HFD-derived splenocyte co-cultures compared with that in NC controls (P < 0.05; Fig. 3b), although no significant differences in the proportion of IFN-γ+ CD8+ T cells were observed (Fig. 3c).

Fig 3
Fig. 3. Effects of high-fat diet on immune cell composition and function in Panc02–splenocyte co-culture. Flow cytometry plots or histograms depict (a) CD4+ T, (b) CD8+ T, (c) IFN-γ+ CD8+ T, (d) CD3 NK1.1+, (e) CD3NK1.1+IFN-γ+, and (f) CD3NK1.1+CD107a+ cells from Panc02 cells after co-culture with NC-Spl or HFD-Spl. Data are expressed as the mean ± SD (n = 8). Statistical analyses were performed using Student’s t-test (*P < 0.05, **P < 0.01 vs. NC-Spl.).

Similarly, the frequency of CD3NK1.1+ NK cells markedly decreased in HFD-derived splenocytes compared with that in NC-derived splenocytes (P < 0.01; Fig. 3d). Interestingly, functional profiling indicated a slight increase in IFN-γ-producing NK cells within the HFD group (P < 0.05; Fig. 3e), while degranulation activity (CD107a+ NK cells) remained unchanged (Fig. 3f). Taken together, these findings suggest that obesity reduces the abundance of cytotoxic lymphocytes in the tumor–immune microenvironment but does not significantly impair their functional activation, as evidenced by a compensatory increase in IFN-γ production by NK cells.

Splenocytes from HFD-fed mice modulate immune checkpoint expression during co-culture with Panc02 cells

We assessed PD-L1 expression on Panc02 cells and PD-1 expression on splenic CD8+ T and NK cells following co-culture to determine whether obesity affects immune checkpoint pathways in the tumor–immune context. Unexpectedly, flow cytometry analysis revealed that Panc02 cells co-cultured with NC-derived splenocytes exhibited significantly higher levels of PD-L1 than those co-cultured with HFD-derived splenocytes (P < 0.05; Fig. 4a). Nevertheless, the proportions of PD-1+ CD8+ T cells and PD-1+ NK cells did not significantly differ between NC- and HFD-derived splenocyte co-cultures (Fig. 4b, c). Collectively, these findings suggest that the inhibition of apoptotic activity in Panc02 cells induced by HFD-derived splenocytes is not attributable to altered PD-1 expression on CD8+ T or NK cells.

Fig 4
Fig. 4. Effects of a high-fat diet on immune checkpoint expression in Panc02–splenocyte co-culture. Representative histograms and quantification of (a) PD-L1 expression in Panc02, (b) PD-1+ CD8+ T, and (c) PD-1+ NK cells. Data are expressed as the mean ± SD (n = 8). Statistical analyses were performed using Student’s t-test (*P < 0.05 vs NC-Spl.).

Discussion

Obesity has long been associated with the progression of PDAC through systemic metabolic alterations, including chronic inflammation, insulin resistance, and altered adipokine signaling (1013). While these mechanisms are well established, the immunological implications of obesity, particularly regarding the interactions between immune and tumor cells in PDAC progression, have yet to be fully elucidated. In this study, we demonstrated that HFD feeding altered the splenocyte composition by decreasing the proportion of cytotoxic lymphocytes, which in turn reduced apoptosis in Panc02 cells. These findings provide evidence that obesity attenuates immune-mediated tumor suppression, thereby contributing to the tumor-permissive environment observed in obesity.

We first demonstrated that obesity significantly alters systemic immune cell composition. Splenocytes from HFD-fed mice displayed a reduced abundance of cytotoxic lymphocytes, specifically CD8+ T and NK cells, compared with those from NC-fed controls. Notably, the cytokine-producing capacity of these cells was largely preserved. CD8+ T and NK cells are essential for anti-tumor immunity, employing perforin/granzyme-mediated killing and cytokine secretion (1417). This finding suggests that while obesity may not entirely suppress immune activation, it diminishes the pool of effector immune cells available for tumor surveillance. Such quantitative suppression of cytotoxic lymphocytes has been documented in both preclinical and clinical models of obesity, where reduced CD8+ T cell infiltration and NK cell dysfunction correlate with accelerated tumor growth (1821).

Building on this observation, our co-culture model revealed that HFD-derived splenocytes exhibited markedly impaired cytotoxic activity, resulting in decreased apoptosis of Panc02 cells. This functional impairment was accompanied by a reduction in the frequency of both CD8+ T and NK cells during co-culture, suggesting that obesity compromises anti-tumor immunity primarily through quantitative rather than qualitative alterations in cytotoxic lymphocytes. However, because splenocytes were used as the primary immune cell source, the present model may not fully capture the complexity and cellular heterogeneity of the pancreatic TME.

Interestingly, we found that PD-1 expression on CD8+ T and NK cells remained unchanged, while PD-L1 expression on Panc02 cells was downregulated when co-cultured with HFD-derived splenocytes, despite the reduced abundance of cytotoxic lymphocytes. The PD-1/PD-L1 immune checkpoint axis is a key regulator of tumor immune evasion and significantly influences responses to immunotherapy. PD-L1 upregulation in the TME is widely recognized as a mechanism of adaptive immune resistance, enabling tumor cells to evade immune-mediated destruction (22). Conversely, PD-L1 positivity may also arise from immune response-induced expression, reflecting active immune engagement. Therefore, PD-L1 serves as a dual-purpose biomarker whose biological significance is context-dependent (2224). In this context, the decreased PD-L1 expression observed in our study likely reflects weakened immune activation linked to obesity rather than the alleviation of checkpoint suppression.

Overall, our findings suggest that obesity impairs anti-tumor immunity in PDAC by reducing the abundance of cytotoxic lymphocytes. This reduction diminishes immune pressure on tumor cells and limits PD-L1 induction. The resulting immune landscape reveals a predominance of immune deficiency over immune exhaustion in obesity-associated PDAC. This observation supports the development of therapeutic strategies aimed at restoring the activity and recruitment of cytotoxic immune cells to enhance anti-tumor immunity in patients with obesity and pancreatic cancer. Further research is warranted to explore how metabolic interventions, immune cell expansion therapies, or combination strategies can improve anti-tumor immunity in obesity-associated PDAC.

Conclusion

This study demonstrates that obesity impairs anti-tumor immunity in PDAC by altering immune cell composition and reducing apoptotic activity. These findings suggest that obesity primarily compromises anti-tumor immunity through a quantitative loss of effector immune cells rather than functional exhaustion. Targeting the restoration of cytotoxic lymphocyte composition may represent a promising strategy to normalize immune balance and improve therapeutic outcomes in obesity-associated PDAC.

References

1. Park W, Chawla A, O’Reilly EM. Pancreatic cancer: a review. JAMA 2021; 326: 851–862. doi: 10.1001/jama.2021.13027.
2. Bracci PM. Obesity and pancreatic cancer: overview of epidemiologic evidence and biologic mechanisms. Mol Carcinog 2012; 51: 53–63. doi: 10.1002/mc.20778
3. Silverman DT, Swanson CA, Gridley G, Wacholder S, Greenberg RS, Brown LM, et al. Dietary and nutritional factors and pancreatic cancer: a case-control study based on direct interviews. J Natl Cancer Inst 1998; 90: 1710–9. doi: 10.1093/jnci/90.22.1710
4. Aune D, Greenwood DC, Chan DS, Vieira R, Vieira AR, Navarro Rosenblatt DA, et al. Body mass index, abdominal fatness and pancreatic cancer risk: a systematic review and non-linear dose-response meta-analysis of prospective studies. Ann Oncol 2012; 23: 843–52. doi: 10.1093/annonc/mdr398
5. Incio J, Liu H, Suboj P, Chin SM, Chen IX, Pinter M, et al. Obesity-induced inflammation and desmoplasia promote pancreatic cancer progression and resistance to chemotherapy. Cancer Discov 2016; 6: 852–69. doi: 10.1158/2159-8290.CD-15-1177
6. Eibl G, Rozengurt E. Obesity and pancreatic cancer: insight into mechanisms. Cancers 2021; 13: 5067. doi: 10.3390/cancers13205067
7. Piening A, Ebert E, Gottlieb C, Khojandi N, Kuehm LM, Hoft SG, et al. Obesity-related T cell dysfunction impairs immunosurveillance and increases cancer risk. Nat Commun 2024; 15: 2835. doi: 10.1038/s41467-024-47359-5
8. Bähr I, Jahn J, Zipprich A, Pahlow I, Spielmann J, Kielstein H. Impaired natural killer cell subset phenotypes in human obesity. Immunol Res 2018; 66: 234–44. doi: 10.1007/s12026-018-8989-4
9. Bähr I, Spielmann J, Quandt D, Kielstein H. Obesity-associated alterations of natural killer cells and immunosurveillance of cancer. Front Immunol 2020; 11: 245. doi: 10.3389/fimmu.2020.00245
10. Shinoda S, Nakamura N, Roach B, Bernlohr DA, Ikramuddin S, Yamamoto M. Obesity and pancreatic cancer: recent progress in epidemiology, mechanisms and bariatric surgery. Biomedicines 2022; 10: 1284. doi: 10.3390/biomedicines10061284
11. Cascetta P, Cavaliere A, Piro G, Torroni L, Santoro R, Tortora G, et al. Pancreatic Cancer and obesity: molecular mechanisms of cell transformation and chemoresistance. Int J Mol Sci 2018; 19: 3331. doi: 10.3390/ijms19113331
12. Eibl G, Cruz-Monserrate Z, Korc M, Petrov MS, Goodarzi MO, Fisher WE, et al. Diabetes mellitus and obesity as risk factors for pancreatic cancer. J Acad Nutr Diet 2018; 118: 555–67. doi: 10.1016/j.jand.2017.07.005
13. Chang HH, Eibl G. Obesity-induced adipose tissue inflammation as a strong promotional factor for pancreatic ductal adenocarcinoma. Cells 2019; 8: 673. doi: 10.3390/cells8070673
14. Baginska J, Viry E, Paggetti J, Medves S, Berchem G, Moussay E, et al. The critical role of the tumor microenvironment in shaping natural killer cell-mediated anti-tumor immunity. Front Immunol 2013; 4: 490. doi: 10.3389/fimmu.2013.00490
15. Mentlik James A, Cohen AD, Campbell KS. Combination immune therapies to enhance anti-tumor responses by NK cells. Front Immunol 2013; 4: 481. doi: 10.3389/fimmu.2013.00481
16. Park J, Hsueh PC, Li Z, Ho PC. Microenvironment-driven metabolic adaptations guiding CD8+ T cell anti-tumor immunity. Immunity 2023; 56: 32–42. doi: 10.1016/j.immuni.2022.12.008
17. Fu C, Jiang A. Dendritic cells and CD8 T cell immunity in tumor microenvironment. Front Immunol 2018; 9: 3059. doi: 10.3389/fimmu.2018.03059
18. Turbitt WJ, Buchta Rosean C, Weber KS, Norian LA. Obesity and CD8 T cell metabolism: implications for anti-tumor immunity and cancer immunotherapy outcomes. Immunol Rev 2020; 295: 203–19. doi: 10.1111/imr.12849
19. Ringel AE, Drijvers JM, Baker GJ, Catozzi A, García-Cañaveras JC, Gassaway BM, et al. Obesity shapes metabolism in the tumor microenvironment to suppress anti-tumor immunity. Cell 2020; 183: 1848–66. doi: 10.1016/j.cell.2020.11.009
20. Elaraby E, Malek AI, Abdullah HW, Elemam NM, Saber-Ayad M, Talaat IM. Natural killer cell dysfunction in obese patients with breast cancer: a review of a triad and its implications. J Immunol Res 2021; 2021: 9972927. doi: 10.1155/2021/9972927
21. O’Shea D, Hogan AE. Dysregulation of natural killer cells in obesity. Cancers 2019; 11: 573. doi: 10.3390/cancers11040573
22. Sun C, Mezzadra R, Schumacher TN. Regulation and function of the PD-L1 checkpoint. Immunity 2018; 48: 434–52. doi: 10.1016/j.immuni.2018.03.014
23. Ghosh C, Luong G, Sun Y. A snapshot of the PD-1/PD-L1 pathway. J Cancer 2021; 12: 2735–46. doi: 10.7150/jca.57334
24. Yi M, Niu M, Xu L, Luo S, Wu K. Regulation of PD-L1 expression in the tumor microenvironment. J Hematol Oncol 2021; 14: 10. doi: 10.1186/s13045-020-01027-5