- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
Immune checkpoint inhibitors (ICI) therapy based on programmed cell death-1 (PD-1) and programmed cell death ligand 1 (PD-L1) has changed the treatment paradigm of advanced non-small cell lung cancer (NSCLC) and improved the survival expectancy of patients. However, it also leads to immune-related adverse events (iRAEs), which result in multiple organ damage. Among them, the most common one with the highest mortality in NSCLC patients treated with ICI is checkpoint inhibitor pneumonitis (CIP). The respiratory signs of CIP are highly coincident and overlap with those in primary lung cancer, which causes difficulties in detecting, diagnosing, managing, and treating. In clinical management, patients with serious CIP should receive immunosuppressive treatment and even discontinue immunotherapy, which impairs the clinical benefits of ICIs and potentially results in tumor recrudesce. Therefore, accurate diagnosis, detailedly dissecting the pathogenesis, and developing reasonable treatment strategies for CIP are essential to prolong patient survival and expand the application of ICI. Herein, we first summarized the diagnosis strategies of CIP in NSCLC, including the classical radiology examination and the rising serological test, pathology test, and artificial intelligence aids. Then, we dissected the potential pathogenic mechanisms of CIP, including disordered T cell subsets, the increase of autoantibodies, cross-antigens reactivity, and the potential role of other immune cells. Moreover, we explored therapeutic approaches beyond first-line steroid therapy and future direction based on targeted signaling pathways. Finally, we discussed the current impediments, future trends, and challenges in fighting ICI-related pneumonitis.
Introduction
Recent years, with the understanding of tumor immune escape, multiple immune checkpoints have been identified for cancer immunotherapy therapy, including PD1/PD-L1, CTLA4, HLA-E/CD94-NKG2A, etc. (1–4). Non-small cell lung cancer (NSCLC) is the highest proportion of all lung cancers (80% - 85%) (5). Once diagnosed, most of them are in a locally advanced state, and the 5-year survival rate is less than 3% (6, 7). Immune checkpoint inhibitors (ICI) therapy has changed the treatment paradigm of advanced non-small cell lung cancer (NSCLC) and prolonged the 5-year overall survival rate to 23.2% (7–12). However, ICI commonly induces the disorder of immune homeostasis, which damages various normal tissues and organs, termed immune-related adverse events (iRAEs) (13, 14). About 60-80% ICI treated patients suffer iRAEs, including lung, dermatologic, gastrointestinal, renal, ophthalmic, neurologic, endocrine, musculoskeletal, hematologic, and cardiovascular toxicity (15–17). Patients who suffer severe iRAEs should immediately or even permanently discontinue ICI therapy due to the higher severity and recurrence possibility (13).
Checkpoint inhibitor pneumonitis (CIP) is one of the most severe and life-threatening iRAEs, especially in patients who suffer from NSCLC. In NSCLC patients, the tumor has destroyed the lung function, resulting in the patients receiving ICI with a higher risk of CIP. The incidence of CIP in NSCLC in real-world settings is about 7-19%, which is significantly higher than the incidence of 3-5% in other tumors, such as melanoma (6, 10, 18–27). In a retrospective study of 276 NSCLC patients treated with PD-1/PD-L1 inhibitors, the incidence of CIP is about 15.2% (24). In another study, the incidence raised to 19% in NSCLC patients receiving anti-PD-1/PD-L1 therapy (28). The typical characteristics of CIP are dyspnea, cough, hypoxia, and along with pulmonary infiltrates on chest imaging. However, accurate diagnosis and treatment of CIP in the clinic is still challenging. The radiographic images of CIP are varied and susceptible to interfere by tumors (29). Furthermore, it is difficult to distinguish CIP from infection, chemotherapy, and radiotherapy induced pneumonitis. Generally, patients with CIP are recommended to be treated with steroids. However, in serious patients, such as Common Toxicity Criteria for Adverse Events (CTCAE) grade 3 or higher, patients should discontinue ICI therapy and receive immune-suppressive treatment (30). As a result, patients with NSCLC, who escaped death from CIP, may also experience tumor recurrence. Therefore, a great deal of effort should be focused on the CIP of NSCLC.
In this review, we summarize the diagnosis, pathogenesis, and treatment strategies of CIP. Except for the multi-angle monitoring and systemic examination, we talk about the artificial intelligence (AI) which can aid in the early diagnosis of CIP. We summarize the possible pathogenic mechanisms, including disordered T cell subsets, the increase of autoantibodies, cross-antigens reactivity, and potential role of other immune cells. Moreover, we highlight the existing and future potential treatment measures for CIP, including corticosteroids, immunosuppressants, cytokine blockade, and signaling pathways inhibition. Finally, we discuss the current impediments, future trends, and challenges in fighting ICI-related pneumonitis.
Current and emerging diagnostic strategies for CIP
Commonly, once ICI-treated NSCLC patients with the characteristics of CIP, such as dyspnea, cough, and hypoxia, should be suspected and receive the standard diagnostic procedure to confirm (Figure 1). The radiological examination is the common strategy for diagnosing pneumonia. However, the radiology examination is difficult to distinguish CIP from common pneumonia caused by radiation, infections, and chemotherapy drugs. In recent years, a variety of serological markers, pathological markers, and AI have been developed and applied to diagnose CIP, which may change the current dilemma faced in CIP diagnosis.
Radiology examination
Radiology examination is the routine method of diagnosing pneumonia. The imaging characteristics of CIP are nodular, reticulation, consolidation, ground-glass opacity (GGO), leaflet septal thickening, and opaque cord-like structure (31). According to the American Thoracic Society/European Respiratory Society (ATS/ERS) classification of interstitial pneumonia, the imaging characteristics of CIP mainly are nonspecific interstitial pneumonia (NSIP)-like, cryptogenic organizing pneumonia (COP)-like, hypersensitivity pneumonitis (HP)-like, and acute interstitial pneumonia (AIP)/acute respiratory distress syndrome (ARDS)-like, with COP (65%) being the most common, followed by NSIP (15%) (31, 32). Moreover, the radiographic classification of these pneumonia correlated with the clinical severity of pneumonia, with AIP/ARDS having the highest severity level, followed by COP (33). Clinically, Suresh et al. found that CIP manifested in a variety of radiographic modes, from COP to predominantly GGO or interstitial patterns (26). In this case, due to the wide range of imaging features of CIP and the lack of typicality, imaging diagnosis is difficult to distinguish CIP from infection and radiation-induced pneumonia, which will affect the accuracy of subsequent treatment.
Serologic markers testing
Serologic markers, including cytokines and leukocytes, can be used to predict and diagnose CIP (34). For example, Lin et al. found that lung cancer patients with CIP were characterized by increased levels of IL-6, IL-10, and lactate dehydrogenase, decreased levels of albumin and absolute lymphocyte count (ALC) (35). Elevated levels of anti-CD74 autoantibodies have been found to be a potential predictor of CIP development and may be useful in identifying patients who may develop pneumonitis (36). Pavan et al. found that elevated neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) might be associated with the occurrence, severity, and subsequent prognosis of iRAEs (37). In another study, researchers found that the decrease in eosinophils was closely correlated with the CIP, especially for the high grades CIP (38). Importantly, the ratio of the percentage of eosinophils to the percentage of eosinophils at the onset of CIP is an essential marker for distinguishing CIP from pneumonia caused by bacterial infection and cancer progression (39). Taken together, serologic markers are extremely beneficial for improving the early diagnosis and clinical decision-making of CIP, and more research in this area is needed in the future.
Pathology test
Pathology testing is not necessary for CIP but is valuable to distinguish CIP from infections radiation, and chemotherapy induced pneumonia. Naidoo et al. performed lung biopsy on 11 patients, and histopathological examination showed that CIP manifested as interstitial pneumonia, organizing pneumonia, and diffuse alveolar injury. Among them, interstitial pneumonia is found to have an increase in eosinophils and poor granuloma formation (40). However, in Imran’s study, none of the 6 CIP patients showed an increase in eosinophils, granulomatous inflammation, or necrosis (41). This variability may be due to the relative limitation of sample size, since lung tissue from NSCLC patients is often biopsied through the bronchial tube. Nevertheless, it is worth expecting that with the development of pathomics and AI, the limitations caused by the small sample size can be effectively addressed.
Artificial intelligence fuels CIP diagnosis
In recent years, AI algorithms integrating multi-omics technologies have been widely used in cancer screening, diagnosis, and prognosis prediction, which provides new directions for future CIP diagnosis (42). Several studies have integrated imaging data, serological data, and clinical reports data with AI to diagnose and predict CIP in ICI-treated patients (43). In a retrospective study, by analyzing the CT radiomics data, Qiu et al. distinguished CIP from radiation pneumonitis in 126 advanced-stage NSCLC pneumonitis (44). Similarly, by systematically analyzing the baseline chest computed tomography images of patients with or without CIP, Colen et al. summarized the radiomics features that could distinguish and predict the risk of CIP with an accuracy of 100% (p=0.0033) (45). In another study, Park et al. proposed the likelihood of spectroscopy-based serum proteomic features for predicting the occurrence and prognosis of iRAEs, which assist in the diagnosis of CIP (46). For real clinical data, Hindocha et al. developed an informatics algorithm that integrated AI with CT reports and electronic health records to identify the CIP of ICI-treated patients and provided new real-world data on the incidence, severity and management of CIP (47). Moreover, AI algorithms can process large volumes of data from pathological sections, helping pathologists to diagnose iRAE (48). For example, by analyzing the H&E-stained colonic tissue slides, Kobayashi et al. trained a deep learning model that efficiently identified the colitis, which can be used to diagnose and classify colitis grades in ICI-treated patients (49). Although the integration of AI and pathology tests has not been applied to CIP diagnosis this can’t deny its great potential in the diagnosis of CIP. Taken together, AI algorithms will greatly improve the diagnostic efficiency and accuracy of CIP and improve clinical decision-making.
Utility of bronchoscopy and diagnostic strategies
Bronchoscopic alveolar lavage fluid (BALF) can diagnose lung infection and interstitial pneumonia by changes in immune cells in the lavage fluid, which is not currently commonly used in the diagnosis of CIP. However, BALF is a worthwhile option when atypical infections (e.g., fungi, pneumocystis carinii pneumonia, viruses) need to be excluded and the cause of CIP needs to be investigated (30). Studies by Sabino et al. have pointed to the possibility of BALF in the diagnosis of CIP. They performed bronchoalveolar lavage (BAL) analysis on five patients with CIP, which typically showed an increase of lymphocyte and CD8+ T cells and a reversal of the CD4/CD8 ratio. Moreover, the grade of adverse events correlated with the degree of CD3+ HLA-DR+ T cell activation (50). This suggests that changes in immunological cells in alveolar lavage fluid can guide the clinical treatment of CIP.
Moreover, oxygen saturation, pulmonary function tests, and 6-minute walk test should be performed on any patient with suspected pneumonia to assess the specific condition of patient’s lung function, in which pulmonary function tests can be useful in monitoring the response to the treatment of patients in the management of CIP (30, 51). What’s more, the most important indicator to pay attention to is oxygen saturation, because it can directly reflect whether the body is hypoxic, which is very important for the CTCAE rating of pneumonia patients (30).
Mechanisms of CIP
ICIs specifically block the mutual recognition of tumor cells with T cells and reactivate T cell-mediated cellular immunity to kill tumor cells (52–54). Simultaneously, these inhibitors also cause excessive activation of immunity in normal tissues to generate iRAEs (15, 55). Following is a discussion of the potential mechanisms of CIP proposed in existing studies.
Disordered T cell subsets
The imbalance of T cell subsets, including the changes of CD8+ T cells and CD4+ T cells, has been considered involved in the occurrence of iRAEs. Recently, Suzuki et al. reported that CD8+ T cells significantly increased in BALF, which is closely related to the occurrence of CIP (56). The penetration of CD4+ T cells, represented by Th1 and Th17 cells, has also been implicated in a variety of iRAEs, including colitis, nephritis, pneumonia, and dermatological complications (57, 58). In a systematic study, Kim et al. analyzed the lymphocytes from BALF of ICI-treated patients. They found T cell clones were significantly expanded, especially for IFN-γ+ IL-17- CD8+ T and CXCR3+ CCR6+ Th17/Th1 cells, suggesting the expansion of T cells plays a critical role in CIP (59). In addition, because Treg cells express CTLA-4, the anti-CTLA-4 antibody can regulate Treg cells in the tumor microenvironment and induce iRAEs by abolishing the inhibitory function of Tregs (60). Suresh et al. found that the expressions of CTLA-4 and PD-1 on BALF Tregs in CIP patients were decreased, suggesting that functional inhibition of Tregs may associated with the occurrence of CIP (61). Taken together, the increase of activated T cells and the decrease of suppressor T cells may result in CIP.
Unbalanced inflammatory factors and autoantibodies
Unbalanced cytokines and autoantibodies secretion are other induction factors for CIP. The relationship between cytokines and iRAE was initially observed in melanoma patients who received ICI therapy. In an ICI-treated melanoma cohort, Lim et al. found that the levels of plasma cytokines, including G-CSF, GM-CSF, FRACTALKINE, FGF-2, IFNa2, IL-12p70, IL-1a, IL1, IL-1RA, IL-2, and IL-13, were associated with the development of advanced iRAEs (62). Khan et al. demonstrated that CX-C motifera chemokine ligands (CXCLs) were strongly associated with the occurrence of iRAEs. Among them, CXCL9, CXCL10, and CXCL11 bound to the C-X-C motifoligentine receptor (CXCR) 3 to activate T cells, which promotes the progression of iRAE (63). For the mechanism of CIP, multiple studies manifested that the increase of inflammatory factors, C-reactive protein (CRP), IL-6, IL-17, and IL-35, were related to the occurrence of CIP (27, 35). In a prospective study, Suresh et al. demonstrated that proinflammatory and chemotactic cytokines in BALF were significantly correlated with CIP (58). On the other hand, multiple studies have shown autoantibodies, such as rheumatoid factor (RF), antinuclear antibodies, and antithyroglobulin, resulted in patients easier to suffer from iRAE (64, 65). Tahir et al. found that the levels of anti-CD74 autoantibodies in patients with CIP increased about 1.34-fold, suggesting the increase in autoantibodies is related to CIP (36). Overall, the increased levels of various cytokines and autoantibodies may result in CIP.
Cross-antigens reactivity
T cells are activated during antigen cross-presentation, which may be an important reason for promoting the progression of iRAEs. This mechanism has been demonstrated in a patient with fulminant myocarditis who underwent a combination of ipilimumab and nivolumab, whose tumor cells simultaneously expressed cardiomyocyte-specific antigens, suggesting a strong link between antigen cross-presentation and myocarditis (66). Another study found T cell clones were shared between skin and tumors in patients with skin-associated iRAEs, which also suggested the important role of antigen cross-presentation (67). On the other hand, tumor destruction and lysis caused by ICI treatment can also cause epitope spread (ES), leading to the destruction of normal tissue (68). ES has been reported in patients who received tumor vaccines, adoptive cell metastasis therapy, or anti-CTLA-4 therapy (69–71). Although there have been no definitive studies to prove whether CIP is associated with the cross-presentation of antigens and ES, this underlying mechanism cannot be ignored.
Potential role of other immune cells
As essential components of humoral immunity and initial immunity, B cells and NK cells may also contribute to the development of CIP. Studies have shown that blockade of the PD-1/PD-L1 pathway promotes the activation, proliferation, and secretion of B cells (72). Similarly, Das et al. found that in patients with anti-CTLA-4 and anti-PD-1 combined therapy resulted in the levels of circulating B cells decreased and increased the levels of CD21lo B cells and plasmablasts, which were strongly associated with iRAEs (73). They found that detecting the changes of B cells in blood could predict the occurrence of iRAEs. NK cells are a type of innate immune surveillance cells. Previous studies found NK cells expressed PD-1 protein and were involved in the immunosurveillance of tumors (74). When ICIs were administrated, NK cells were activated and released pro-inflammatory factors, which further promoted inflammation and damaged normal lung tissue (75). These results suggest that other immune cells also regulate the occurrence of iRAEs, and future research should be focused on this area.
Management and new treatment strategies for CIP
If ICI-treated NSCLC patients were diagnosed with CIP, they need to be assessed for severity in accordance with CTCAE and carry out hierarchical management (Figure 1 and Table 1) (30). According to the CTCAE score, CIP can be divided into four grades. For patients with grade 1 pneumonia, it is recommended to perform clinical and imaging observations every 3-4 weeks, and monitor pulmonary function at the same time, review at least every 3 weeks (76, 77, 79, 97). When grade 2 pneumonitis has developed, further treatment with high-dose corticosteroids ought to be used. If higher-grade pneumonia occurs, the ICI treatment needs to be forbidden for life, and the patient needs to be hospitalized, and the option of adding infliximab, tocilizumab, Intravenous immunoglobulin (IVIG), mycophenolate mofetil, and cyclophosphamide need to be considered when high-dose corticosteroids are not effective (78, 97).
Corticosteroids treatment
Currently, glucocorticoid, an anti-inflammatory drug is the first choice for the treatment of CIP in clinical (77). For grade 2 pneumonia, the NCCN guidelines recommend the use of glucocorticoids and empiric antibiotics, where a moderate dose of glucocorticoid therapy (1-2 mg/kg/d) is selected. If clinical improvement happens after monitoring gradually, the dose should be gradually reduced by 5-10 mg/week and continued for 4-6 weeks to avoid the recurrence of pneumonia, during which close observation for infection is needed. When the pneumonitis reaches grade 3 or 4, pulsatile glucocorticoid therapy is required in most cases, that is, more than 250 mg of glucocorticoid therapy for several days (7, 77). However, since there is no exact clinical trial to determine the optimal duration of glucocorticoid treatment, clinical treatment at this stage is often determined based on the patient’s response to glucocorticoids. In addition, a retrospective study demonstrated that glucocorticoid therapy may promote cancer progression and reduce overall survival, so glucocorticoids should be used with greater caution (98).
Immunosuppressants treatment
For grade 4 CIP, guidelines indicate when glucocorticoid therapy is ineffective, other immunosuppressive options should be adopted, such as IVIG and immunosuppressant therapy (77). Immunoglobulin can downregulate B cell function and antibody production and neutralize pathogenic autoantibodies already present in the body (99). Previous studies have referred to the overall rise of autoantibodies in the serum of CIP patients, which can be effectively treated with IVIG (26). For severe iRAEs, plasmapheresis need to be considered (100). As for mycophenolate mofetil and cyclophosphamide, these two drugs are common immunosuppressants, which can inhibit immune cell proliferation and function, reduce antibody immune response, and can be late candidates for high-grade CIP therapy (77). It is important that if the patient’s symptoms improve after corticosteroid use but the later dose cannot be effectively reduced, MMF can be used as steroid sparing agent as well (79).
Targeting secreting cytokines
Recently, several studies have demonstrated that iRAEs are associated with some specific cytokines, such as tumor necrosis factor α (TNF-α), IL-6, and IL-17. Inhibiting the production of cytokines is a promising strategy to treat iRAE, and relevant inhibitors have been approved to treat iRAE (Table 1). Infliximab is a monoclonal antibody of TNF-α, which can achieve anti-inflammatory effect by inactivate and degrade of TNF-α (30). In the latest updated guidance, infliximab has been recommended to treat grade 4 CIP. Data from a retrospective study demonstrated that the use of infliximab was effective in improving CIP, and the same results were confirmed in a case report (81, 82). Similarly, tocilizumab, an IL-6 inhibitor used to treat rheumatological and giant cell arteritis iRAEs, is also recommended by guidelines (30). In the study of Stroud et al., tocilizumab was used to treat glucocorticoids ineffective patients and significantly relieved CIP. They also found CIP patients with the characteristics of elevated CRP, which could decrease by tocilizumab (83).
Moreover, the therapeutic effect on CIP remains to be explored for other cytokine blockers. There have been cases of effective use of the anti-IL-17 monoclonal antibody secukinumab in the treatment of intestinal and cutaneous iRAEs, although it may promote tumor immune escape (101). In addition, with the further deepening of research on the important cytokines IL-12 and IL-23 involved in the formation of iRAEs, their important role in tumor immunity and autoimmune diseases has been valued (62, 102). The IL-12/23 inhibitor ustekinumab and the IL-23 inhibitor guselkumab have been successfully applied to the treatment of psoriasis (103). Furthermore, the IL-13 blocker tralokinumab has been approved for moderate to severe atopic dermatitis, and its use in the treatment of iRAEs remains to be explored (89). Notably, mepolizumab is an anti-IL-5 monoclonal antibody that has been shown to lower blood eosinophil counts, which may be used as an adjunct therapy for CIP (88). Although research evidence about the application of cytokines inhibitor in iRAEs is lacking, the development of targeted cytokine therapies has extraordinary potential.
Targeting signaling pathways - the future direction
Cytokines often act as messengers by activating signaling pathways within cells, so to a certain extent, it is possible to achieve the treatment of iRAEs by targeting signaling pathways. The mTOR pathway regulates innate and adaptive immune responses and is a key factor in the regulation of T cell function, and its inhibitor sirolimus is often used to maintain immune tolerance and prevent organ transplant rejection (104, 105). In our previous study, we found that sirolimus not only inhibited tumor growth but also prevented colitis by inhibiting the infiltration of T cells, suggesting its great potential for the treatment of iRAEs and tumors (14, 106). The JAK–STAT pathway is induced by a number of closely related cytokines, such as IL-6, IL-12, IL-23, and IL-17, which are essential for the immune mechanisms of autoimmune diseases and cancer progression. In addition, JAK-STAT pathway is also an important pathway for IFN regulation of innate and adaptive immunity, and abnormal IFN signaling has been shown to lead to autoimmune diseases. Five JAK-STAT inhibitors (ruxolitinib, baritinib, tofacitinib, oclacitinib, and upadacitinib) have been approved for autoimmune diseases. Two patients with iRAEs-associated myocarditis and one patient with iRAEs-associated arthritis have been reported to have significant remission with tofacitinib, with rapid onset of action and long-lasting response (107, 108). Evidently, the development of cell signaling pathway-oriented therapeutic strategies is worth looking forward to.
Conclusion and prospects
At present, both the diagnosis and treatment of CIP need to be solved urgently in clinical. The diagnosis of CIP is an exclusionary diagnosis, and the uncertainty of various diagnostic indicators will greatly delay the diagnosis and subsequent treatment. Although imaging techniques, pulmonary function tests, pathology tests, and serological tests have been applied in CIP diagnosis (34). It is still urgent to develop new tools with high accuracy for early diagnosis of CIP. Another critical aspect is the need to focus more on predicting high-risk CIP for identifying high-risk patients and subsequent close observation (109). From a treatment perspective, the timing of ICI treatment discontinuation and initiation of glucocorticoid therapy, the dosage, usage, and duration of glucocorticoid therapy need to be investigated (78). In addition, the existing treatment methods will affect the prognosis of NSCLC to a certain extent, and whether it can develop effective treatment of side effects without affecting the process of primary NSCLC is the key to the current treatment strategy research. Given this situation, the choice of cytokine antagonists or blockers of signaling pathways may open a new door for the treatment of CIP, which requires extensive research to demonstrate.
Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Funding
This work was funded by the National Key Research and Development Program of China (No. 2022YFC2504700 [2022YFC2504703]); National Natural Science Foundation of China (No. 22105137 and No. 82172634); China Postdoctoral Science Foundation (No. 2020M683324 and No. 2022T150449); Key Program of the Science and Technology Bureau of Sichuan (No. 2021YFSY0007); 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (No. ZYYC20013).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: immune checkpoint inhibitors, immune-related adverse events (IRAE), pneumonitis, non-small cell lung cancer, treatment
Citation: Guo X, Chen S, Wang X and Liu X (2023) Immune-related pulmonary toxicities of checkpoint inhibitors in non-small cell lung cancer: Diagnosis, mechanism, and treatment strategies. Front. Immunol. 14:1138483. doi: 10.3389/fimmu.2023.1138483
Received: 05 January 2023; Accepted: 23 March 2023;
Published: 04 April 2023.
Edited by:
Cheng Zhan, Fudan University, ChinaReviewed by:
Wang-Zhong Li, First Affiliated Hospital of Guangzhou Medical University, ChinaJennifer Possick, School of Medicine, Yale University, United States
Copyright © 2023 Guo, Chen, Wang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiaowei Liu, xiaoweiliu312@163.com