Abstract
Lung cancer associated with cystic airspaces (LCCAs) is a distinct subtype of lung cancer defined by its unique radiological characteristics. It is increasing in prevalence but is often misdiagnosed. The constantly emerging radiological classification systems help characterize LCCAs and guide certain treatment methods. Compared to non-LCCAs, LCCAs are more likely to be associated with an invasive nature. The natural progression of LCCAs involves the thickening of cyst walls and the emergence of solid nodules, which are indicative of tumor progression. Despite their aggressive features, the overall prognosis of LCCAs was similar to non-LCCAs this review, we aim to systematically address the current understanding of LCCAs, including the epidemiology, radiologic classification, pathology, molecular characteristics, disease progression, and survival prognosis, highlighting the need for further research to standardize the diagnosis and treatment of LCCAs and to better understand their mechanisms of development.
Introduction
Lung cancer is one of the most common and deadliest malignant tumors (). Recently, lung cancer associated with cystic airspaces (LCCAs) has gradually emerged as a significant but potentially underappreciated subtype (). LCCAs was first defined by Farooqi et al. as “lung cancers that about or are in the wall of cystic airspaces identified at CT, regardless of the pathology findings and irrespective of the presence of emphysema elsewhere in the lung” (). “Cystic airspaces” were historically considered to be associated with benign diseases (, ). However, it was recently observed that certain lung cancers were associated with it (). Womack first reported LCCAs in 1941 (). Later, Anderson and Pierce introduced a series of radiological manifestations as thin-walled cysts in cases of bronchogenic carcinoma (). Subsequently, multilocular cysts and emphysematous bullae have also been described as being associated with lung cancer afterward (–).
LCCAs was also denoted as “cystic lung cancer,” “lung cancer adjoining bullae,” and “pulmonary cavity nodules” in the past (–). This diversity of terminology reflected the lack of a unified understanding, leading to inconsistencies in research and confusion in clinical recognition. In the Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON) lung cancer screening trial, 22.7% of lesions presented as LCCAs that were missed or delayed (, ). The NELSON trial demonstrated that structured LDCT screening improved outcomes by 24%; however, patients with missed or delayed diagnoses could not benefit from these advantages, as disease progression during follow-up may compromise surgical eligibility and survival (–). Cystic airspaces lead to diagnostic challenges, such as difficulty in distinguishing them from benign lesions such as tuberculosis or fungal infections on imaging, and obtaining sufficient tissue samples from thin or irregular cyst walls is difficult (, ). In terms of treatment, the presence of cystic airspaces may complicate margin assessment and treatment response because of the lack of relative standards (). Therefore, the diagnosis and management of LCCAs cannot simply rely on the standards for conventional lung cancer. It is essential to elucidate the epidemiology, clinical features, and progression patterns of LCCAs.
In this review, we aim to address these issues to advance the current understanding of LCCAs, facilitating early identification, providing opportunities for early treatment, and accurately assessing treatment outcomes.
Epidemiology
The prevalence rates of LCCAs vary widely from 0.46% to 12.6%, largely reflecting differences in study design and populations (–). In the pre-existing cysts, the proportion of LCCAs reached 4.6% (). The incidence of LCCAs is influenced by the frequency of CT scans and the number of patients screened, as well as the differences in the definition of LCCAs. Farooqi et al. reported that the detection rate of LCCAs in the baseline round of screening was 2%, whereas it increased to 12% in the annual rounds ().
Demographic characteristics
Similar to the demographic characteristics of lung cancer, LCCAs was frequently observed in middle-aged and elderly individuals. More than half of patients were male (, ). In most Asian studies, LCCAs predominantly affected male patients, whereas female patients represented the majority in Western cohorts, which contrasts with findings from subsolid nodules (SSNs), highlighting that LCCAs may not fully share the same demographic distribution as SSNs (). The prevalence of smoking among these patients varied widely in different studies, ranging from 12.5% to 100% (, ) (Table 1).
TABLE 1
| Demographic characteristics | Zhu, 2023 () | Shen, 2021 () | Jung, 2020 () | Toyokawa, 2018 () | Fintelmann, 2017 () | Iwama, 2016 () | Guo, 2016 () | Watanabe, 2016 () | Farooqi, 2012 () | Byrne, 2021 () | Ma, 2022 () | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cases, n | 252 | 123 | 60 | 31 | 30 | 45 | 15 | 143 | 26 | 47 | 384 | |
| Proportion | 265/2,093 (12.6%) | 123/10,835 (1.13%) | 60/1,971 (3%) | 31/283 (11%) | 30/2,954 (1.0%) | 45/488 (9.2%) | 15/3268 (0.46%) | 143/3192 (4.48%) | 26/706 (3.7%) | 47/431 (10.9%) | ||
| Sex, n(%) | ||||||||||||
| Male | 128 (50.8) | 82 (66.7) | 44 (73.3) | 27 (87.1) | 12 (40.0) | 43 (95.6) | 12 (80) | 97 (67.8) | 13 (50) | 20 (42.6) | 236 (61.5) | |
| Female | 124 (49.2) | 41 (33.3) | 16 (26.7) | 4 (12.6) | 18 (60.0) | 2 (4.4) | 3 (20) | 46 (32.2) | 13 (50) | 27 (57.4) | 148 (38.5) | |
| Age (mean or median)a | 58.0 ± 11.1 | 61 (54–67) | 69 (29–85) | 66.2 (44–84) | 63.6 (60.5–66.8) | 58 (39–77) | 63 (26–82) | 65.15 ± 13.25 | 69 (65–74) | 58.2 ± 10.8 | ||
| Smoking history, n (%) | ||||||||||||
| Ever | 37 (61.7) | 30 (96.8) | 29 (96.7) | 95 (66.4) | 26 (100.0) | 39 (83) | 48 (12.5) | |||||
| Never | 23 (38.3) | 1 (3.2) | 1 (3.3) | 48 (33.6) | 8 (17) | 336 (87.5) | ||||||
| Number of packs per year (mean or median)a | 46 (15–110) | 53.2 ± 9.2 | 45 (36–59) | |||||||||
Demographic characteristics of LCCAs.
Data are presented as the mean ± standard deviation (SD) or the median (range).
Radiologic classification
LCCAs can be observed on CT scans as either solitary or multiple cystic components, accompanied by air density shadows within.
Maki–Mascalchi classification
Initially, in 2006, Maki et al. proposed a classification system for LCCAs (), which was subsequently refined by Mascalchi () (Figure 1). The classification categorized LCCAs into four subtypes based on their morphological characteristics: type I: nodule or mass extruding from the wall of the cystic airspace (Figure 1A); type II: nodule or mass confined within the cystic airspace (Figure 1B); type III: soft tissue density extending along the wall of the cystic airspace (Figure 1C); and type IV: soft tissue density intermixed within clusters of cystic airspaces (Figure 1D). Among them, type III was the most common type (, ).
FIGURE 1
Fintelmann classification
In 2017, Fintelmann et al. introduced a new classification system based on the Maki–Mascalchi classification (). The modified classification system included a numerical component, optional uppercase letters, and a lowercase letter to represent the wall, nodule, and cystic components. For the first time, this system also considered thin-walled cysts (with a maximum thickness of 1 mm) and ground glass nodules (Figure 2). This classification system was more accurate as it took the diverse manifestations of components of LCCAs into account. This classification method was primarily suitable for investigating the natural progression of LCCAs, but it was difficult to conduct clinical research due to the limited number of patients across different groups.
FIGURE 2
SPH classification
Shen et al. introduced the SPH classification in 2019, distinguishing four types: type I (thin-walled type): cyst wall <2 mm; type II (thick-walled type): cyst wall >2 mm; type III (cystic airspace with mural nodule, CWN): a cystic airspace with a mural nodule that is either endophytic or exophytic; and type IV (mixed type): tissue intermixed within clusters of multiple cysts. It incorporated the thin-wall type and consolidated the Maki–Mascalchi types I and II into the cystic airspace with a mural nodule type (SPH type III) () (Figure 3). According to this classification, SPH type III accounted for a larger proportion (43/123, 35.0%), which was further confirmed by the research by Ma et al. (). Because some previous studies excluded cases lacking sufficient evidence to demonstrate that the tumor originated from a pre-existing thin-walled cystic airspace, the above results may lead to an underestimation of the incidence of thin-wall-type LCCAs (, ).
FIGURE 3
Jung classification
These classifications did not take into account the development of the ground glass opacities (GGOs) component of LCCAs. Recently, Jung et al. proposed a new classification system based on the evolution and development of LCCAs (). The four subtypes distinguished GGOs, part-solid, and pure-solid LCCAs, linking CT findings with pathological progression (). It was the first classification system that considered the proportion of solid components, which was in concordance to the differentiation of pulmonary nodules.
Pathology
Location and histology
The majority of LCCAs was in the peripheral site, accounting for approximately 70% of the cases, without the tendency of pulmonary lobar inclination (). Adenocarcinoma accounted for more than 70% of LCCAs (, ), whereas fewer than 30% of patients had squamous cell carcinoma (, , ). The proportion of patients with LCCAs coexisting with emphysema was relatively high, with a reported rate of 73% () (Table 2).
TABLE 2
| Clinical characteristics | Zheng, 2024 (), n (%) | Ma, 2022 (), n (%) | Shen, 2019 (), n (%) | Tan, 2019 (), n (%) | Haider, 2019 (), n (%) | Shinohara, 2018 (), n (%) | Fintelmann, 2017 (), n (%) | Iwama, 2016 (), n (%) | Guo, 2016 (), n (%) | Mascalchi, 2015 (), n (%) | Farooqi, 2012 (), n (%) | Byrne, 2021 (), n (%) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Stage | I | 154 (92) | 67 (63.2) | 34 (65.4) | 18 (60.0) | 16 (35.6) | 9 (60) | 12 (50.0) | 21 (80.8) | ||||
| II | 7 (4) | 12 (11.3) | 14 (26.9) | 5 (16.7) | 2 (4.4) | 2 (13.3) | 3 (12.5) | 2 (7.7) | |||||
| III | 7 (4) | 11 (10.4) | 4 (7.7) | 2 (6.7) | 10 (22.2) | 3 (20) | 4 (16.7) | 3 (11.5) | |||||
| IV | 16 (15.1) | 0 (0) | 5 (16.7) | 17 (37.8) | 1 (6.7) | 5 (20.8) | |||||||
| Emphysema | 38 (30.9) | 5 (4.7) | 5 (45.5) | 29 (96.7) | 19 (73.1) | ||||||||
| Lobe location | RUL | 25 (23.6) | 1 (9.1) | 36 (69.2)a | 6 (20.0) | 32 (71.1) | 4 (26.7) | 10 (41.7) | 7 (26.9) | 13 (26.5) | |||
| RLL | 27 (25.5) | 4 (36.4) | 15 (28.9)b | 8 (26.7) | 12 (26.7) | 3 (20) | 7 (29.2) | 5 (19.2) | 16 (32.7) | ||||
| RML | 10 (9.4) | 2 (18.2) | 1 (1.9) | 3 (10.0) | 1 (2.2) | 1 (6.7) | 1 (4.2) | 2 (7.7) | 2 (4.1) | ||||
| LUL | 23 (21.7) | 3 (27.3) | 7 (23.3) | 3 (20) | 3 (12.5) | 9 (34.6) | 10 (20.4) | ||||||
| LLL | 21 (19.8) | 1 (9.1) | 6 (20.0) | 4 (26.7) | 3 (12.5) | 3 (11.5) | 8 (16.3) | ||||||
| Location | Peripheral | 289 (75.3) | 7 (63.6) | 24 (80.0) | 15 (100) | 4 (16.7) | |||||||
| Central | 95 (24.7) | 4 (36.4) | 6 (20.0) | 20 (83.7) | |||||||||
| Histology | SCC | 8 (5) | 115 (29.9) | 6 (4.9) | 7 (7.5) | 2 (18.2) | 18 (34.6) | 4 (13.3) | 13 (28.9) | 2 (13.3) | 7 (29.2) | 1 (3.8) | 9 (18.4) |
| Adenocarcinoma | 155 (94) | 237 (61.7) | 117 (95.1) | 81 (87.1) | 9 (81.8) | 26 (50.0) | 24 (80.0) | 23 (51.1) | 11 (73.3) | 17 (70.8) | 23 (88.5) | 39 (79.6) | |
| Others | 2 (1) | 5 (1.3) | 5 (4.7) | 8 (15.4) | 2 (6.7) | 4 (8.9) | 2 (13.3) | 2 (7.7) | 1 (2.0) |
Clinical characteristics of LCCAs.
RUL, right upper lobe; RLL, right lower lobe; RML, right middle lobe; LUL, left upper lobe; LLL, left lower lobe; SCC, squamous cell carcinoma.
Upper lobe from both the right and left sides.
Lower lobe from both the right and left sides.
Pathological features
Compared to non-LCCAs, LCCAs was more likely to be associated with pleural and vascular invasion, as well as histological invasive subtypes such as papillary or solid component (). SPH type III, solid wall, and large cystic airspaces were independently predictive of a poor differentiation of LCCAs, which may guide the extent of surgical resection (). Multiple cystic airspaces, irregular shape of cystic airspaces, whole tumor size, and CT attenuation were identified as independent risk factors for the pathologic invasiveness of LCCAs, and a thicker wall was indicative of vascular and/or lymphatic invasion, suggesting a need for careful intraoperative evaluation (, , ). Regarding the LCCA subtypes, SPH type I represented an earlier stage of disease because it manifested as adenocarcinoma in situ, whereas patients with SPH type III or IV had more invasive characteristics. In addition, type III was identified as an independent risk factor for pathological invasion in LCCAs (). The majority of type IV lesions exhibited lepidic, acinar, or papillary characteristics (). Therefore, the thickness of the cyst wall, in conjunction with the presence of solid components, collectively determined the pathological invasiveness of tumors and provided actionable information for surgical planning and follow-up strategies.
Tan et al. found that an uneven wall on CT reflected the infiltration of tumor cells into normal tissues, whereas a wall nodule was indicative of tumor cell proliferation within the alveolar cavity. GGOs signified the expansion of tumor cells along the alveolar walls, irregular margins resulted from inward folding of tumor cells into fibrous tissue within cyst walls, and septations within the cyst might consist of fibrous tissue generated by tumor cells, bronchi, or blood vessels (). Recognizing these imaging characteristics could help radiologists and surgeons predict pathological invasiveness preoperatively and optimize the extent of resection, thus directly linking CT findings with clinical decision-making.
Tissue sampling
Notably, in terms of pathological specimens, conventional percutaneous and bronchoscopic biopsy had historically faced challenges in acquiring sufficient diagnostic samples of LCCAs due to the thinness of the cyst wall and the small number of obtainable cells (). Moreover, some operators may be concerned that biopsies of lesions containing airspaces may result in tumor rupture and pneumothorax (, ). However, several studies showed that CT-guided core needle biopsy had a comparable safety in evaluating lesions associated with LCCAs as non-LCCAs (, ). In addition, CT-guided fine-needle aspiration biopsy and CT-guided percutaneous needle biopsy have also been shown to be effective and safe for cavitary or thin-walled lesions, providing additional options in challenging cases (, ). For patients who are surgical candidates, intraoperative tissue sampling or resection remains the most definitive and effective diagnostic approach.
PET-CT
Consistent with the more aggressive pathological classification, LCCAs demonstrated higher FDG uptake. In the study regarding “emphysematous bullae-associated lung adenocarcinomas,” the SUVmax of cancer adjoining emphysematous bullae was significantly higher than that of cancer without emphysematous bullae (). During the follow-up process, FDG uptake showed a progressively increasing trend, which is potentially attributed to increased metabolic demands resulting from tumor growth and increased invasiveness. For the subtypes, SPH type I potentially exhibited low FDG uptake (, ). It may be because of the low invasiveness and/or the volume effect of cystic components, which lead to a reduction in the density of metabolically active cells (). There was a positive correlation between FDG uptake and the thickness of the cyst wall as well as the presence of wall nodules. The minimum diameter for FDG uptake for a wall nodule was 8 mm (). Therefore, the diagnostic reliability of PET-CT alone for LCCAs is relatively low, and a 6-month follow-up CT examination could be recommended () (Table 3).
TABLE 3
| LCCA classification | FDG uptake | |
|---|---|---|
| SPH | Maki–Mascalchi | |
| I | Low | |
| II | III | Moderate to marked |
| III | I/II | Depends on nodule size |
| IV | IV | Moderate to marked |
Correlation between FDG uptake and LCCA subtypes.
Molecular characteristics
Driver gene mutation
Epidermal growth factor receptor (EGFR) has been identified as the predominant driver mutation in LCCAs, followed by Kirsten rat sarcoma viral oncogene homolog (KRAS), which was consistent with the overall data for lung cancer (, , , ). In a study concerning early-stage lung adenocarcinoma, LCCAs accounted for a higher proportion of tumors with positive anaplastic lymphoma kinase (ALK) or rearranged during transfection (RET) rearrangements (). However, Toyokawa et al. revealed an association between wild-type EGFR status and lung adenocarcinoma adjacent to emphysematous bullae (). Discrepancies may stem from differences in patient selection because Toyokawa only included patients with emphysematous lungs. No significant association was found between the types of LCCAs and the status of driver gene mutations ().
PD-L1 expression
A higher prevalence of programmed cell death ligand 1 (PD-L1) expression was identified in LCCAs than in non-LCCAs (, ). This could be attributed to the inclusion of patients with emphysema, wherein PD-L1 expression was triggered by IFN-γ due to inflammation induced by COPD or smoking (–). However, it was unclear whether increased PD-L1 expression was also present in patients with other LCCAs without emphysema. The increase in PD-L1 expression implied that LCCAs could potentially be more amenable to immunotherapy (, ). For patients with LCCAs exhibiting increased PD-L1 expression, immunotherapy may be considered as a potential treatment option in the future.
Disease progression
The progression of LCCAs remains a topic of extensive discussion. Currently, various patterns of LCCA formation have been identified and are broadly categorized into the progression of the cyst wall and the cystic airspace.
Evolution of the cyst wall
This includes (i) thickening of the pre-existing thin-walled cystic airspace [SPH type I (thin-walled type) that progressed to type II (thick-walled type)] (, , , ), (ii) emergence of new nodules [SPH types I or II that progressed to type III (CWN type, cyst with an associated nodule)], and (iii) enlargement or solidification of existing nodules within the cyst wall (, , ).
Evolution of the cystic airspace
This includes (i) enlargement, (ii) shrinkage, (iii) the emergence of ground glass nodules, and (iv) the formation of solid nodules within the cystic airspace (, , ).
These transitions might signify tumor progression, whereas changes in the cyst wall and airspace could develop together and ultimately progress to a solid mass (, , ) (Figure 4). Furthermore, there were some reports of the appearance of new cystic cavities on the basis of solid nodules ().
FIGURE 4
The most common evolution of LCCAs was nodule enlargement, followed by the thickening of the cyst wall (, ). Changes in the cystic airspaces were more commonly observed as an increase in size, followed by a decrease in size (). Jung et al. found a commonly observed progression pattern in LCCAs, which was characterized by the gradual enlargement of cysts followed by the emergence of solid nodules. Subsequently, there was a gradual reduction in cyst size accompanied by an increase in the solid component (). Such progression, particularly the changes of cyst wall and cystic airspaces and nodule development, warranted shorter follow-up intervals or even prompt surgical intervention ().
The dynamic imaging changes of LCCAs may indicate different follow-up intervals or even shifts in the management strategy. Lung-RADS introduced specific recommendations regarding atypical pulmonary cyst in 2022, with classifications that largely correspond to the SPH classification. According to Lung-RADS v2022 (v 2.0), thin-walled cysts (wall< 2 mm) are recognized as benign; however, thick-walled cysts (2 mm or larger wall thickness), multilocular cysts (thick- or thin-walled cysts with internal septations), and thin- or thick-walled cysts that became multilocular are categorized as 4A, with the recommendation of a 3-month LDCT or PET/CT. In contrast, progressive features such as growing wall thickness or nodularity of the thick-walled cyst, increasing loculation of the multilocular cyst, or new/increasing opacity within or adjacent to the multilocular cyst are upgraded to 4B, for which appropriate diagnostic evaluation is advised. For cysts with mural nodules (either endophytic or exophytic), the higher Lung-RADS category should be assigned, based on the more concerning feature between the cyst wall and the solid component. Although its applicability requires further validation in this specific subgroup, Lung-RADS v2022 provides a framework for managing atypical cystic lesions and is potentially applicable to LCCAs ().
Treatment response
Nonoperative management of non-LCCAs generally relies on routine CT follow-up, with the area/volume outperforming the diameter despite practical constraints (). In contrast, the management of LCCAs requires paying attention to changes in cyst walls, cystic airspaces, and mural nodules for response assessment and follow-up strategy.
Chemotherapy
The response of LCCAs to chemotherapy was characterized by changes in cystic wall, airspaces, and nodules, which was different from that of non-LCCAs. After neoadjuvant chemotherapy, the solid components of LCCAs exhibited a reduction in size, whereas the cysts either increased or remained unchanged. These changes in the solid constituents might provide a more accurate depiction of treatment response. The enlargement of airspaces may not indicate tumor progression but could reflect treatment-related remodeling, such as the enlargement of check valves secondary to the reduction of solid components. Additionally, alterations in area and volume were more pronounced than changes in diameter, as small linear changes were amplified in two- and three-dimensional measurements (). Although these parameters may provide a more sensitive reflection of tumor burden, their clinical application remains limited by technical complexity.
Post-treatment CT images clearly demonstrated potential modifications in imaging classification of LCCAs among patients undergoing nonsurgical interventions. However, the impact of post-treatment classification on prognosis remains uncertain, and prospective studies are urgently needed to validate the imaging markers of treatment response in LCCAs, which could ultimately guide personalized management strategies.
Immunotherapy
Immune checkpoint inhibitors (ICIs) have reshaped the treatment of NSCLC in recent years (). However, current evidence regarding ICIs in LCCAs is limited to isolated case reports. In a case report by Parisi et al., two patients showed a reduction in the solid component and a thinning of the cyst wall after receiving immune checkpoint inhibitors treatment, which was in line with the tumor response. Another patient whose tumor presented with thickening of the cyst wall and a nodule filling the cyst died 2 months after ICI treatment although the solid target lesion was in a stable state (). As the current evidence was mainly derived from individual case reports, further prospective studies with systematic in LCCAs are needed to characterize the radiological changes or other imaging markers and their association with the patterns of response of ICIs.
Survival prognosis
Despite the inherently more aggressive nature, there was no statistically significant difference in disease-free survival (DFS) and overall survival (OS) between LCCAs and non-cystic lung cancer (DFS: type I–IV LCCAs: 100%, 84%, 83%, and 83%, respectively, vs. non-LCCAs: 77%; OS: type I–IV LCCAs: 100%, 84%, 83%, and 83%, respectively, vs. non-LCCAs: 80%) (, ). The possible explanation is that early studies excluded some thick-walled-type LCCAs in order to eliminate the bias from cancerous cavities ().
Micro-papillary components, tumor spread through airspaces, visceral pleura invasion, and lymphovascular invasion were significant predictors of progression-free survival (PFS) in LCCA patients (, ). The study by Watanabe et al. revealed that cyst wall thickness served as an independent prognostic factor, with an optimal cutoff point of 4 mm for predicting DFS and OS. In patients of stage I LCCAs, the 5-year OS rate in the thick-walled group was 70.1%, whereas it was 91.5% in the thin-walled group (). However, these results did not specify whether the measurement of wall thickness encompassed only the solid component or incorporated nonsolid components. Whereas the thick-walled type was associated with a worse prognosis, Ma et al. found that cyst wall thickness and cystic cavity type were independent prognostic factors for LCCA adenocarcinoma subtype but not for squamous cell carcinoma (). Furthermore, in transcriptomic studies, gene expressions of KCNK3, NRN1, PARVB, and TRHDE-AS1 were associated with the prognosis in adenocarcinomas of LCCAs ().
Regarding LCCA classification, Shen et al. indicated that there was no statistically significant difference in recurrence-free survival (RFS) between the LCCA and non-LCCA groups. However, SPH type III exhibited a poorer 3-year RFS rate than SPH type I (type I: 100% vs. type III: 77%). In the subgroup analysis, a significant correlation was observed between the volume and diameter of lesions with RFS in SPH type II and III LCCAs (). The above results were in line with the progression mode of LCCAs.
Mechanism hypothesis
Currently, there are multiple hypotheses regarding the formation of LCCAs, with the most widely accepted being the check-valve mechanism, in which tumor cells resulted in scar-induced narrowing in small airways, leading to the formation of a valve that causes gas retention and cyst formation (, , , 73). This hypothesis was supported by Jung et al., as nonsolid nodules were indicative of cancer cells lining the alveolar wall, potentially leading to the formation of a check-valve (). Subsequently, the check-valve led to the enlargement of the cyst, which manifested as the presence of cystic components in nonsolid nodules on CT, followed by the emergence of solid nodules at a specific stage. At this point, there was a gradual increase in the solid component that encircled the cyst. Eventually, the cyst shrank (, , , ). This hypothesis could partly explain LCCAs that originated from GGOs.
Another potential explanation was that tumors proliferated along pre-existing lung bullae (, , ). The presence of emphysematous bullae was a significant risk factor for the development of lung cancer (74–78). The majority of tumors in patients with emphysema were located in close proximity to the emphysematous bullae, and these patients may exhibit increased susceptibility to DNA damage induced by smoking (). Moreover, chronic inflammation around the emphysematous bullae promoted carcinogenesis and hindered DNA repair processes (, 78). Pathologically, the cumulative impact of these factors potentially contributed to the increased vulnerability toward carcinogenesis, resulting in the development of lung cancer along the damaged alveolar walls (78).
Regressive changes with absorption in a solid tumor could result from non-necrotic cystic transformation in the solid tumor, thus leading to the formation of cystic airspaces in lung cancer (, 79). This distinctive feature sets it apart from necrotic cysts exhibiting irregular inner walls.
The pathological findings also provided insights into the etiology of LCCAs. During the progression process, as the cysts enlarged on CT scans, fibrosis developed a thin lining along the boundary of the cystic airspace. With the fibrotic wall becoming progressively thicker and lined with adenocarcinoma cells, the cyst wall gradually appeared thickened. Eventually, infiltrating adenocarcinoma cells gradually invaded the cyst wall while inducing stromal reaction-associated fibrosis. The histopathologic pattern of the tumor could also transform from lepidic and acinar subtypes to solid and micropapillary types, indicating more invasive behavior and poorer prognosis ().
At the molecular level, transcriptome sequencing revealed upregulation of pathways related to epithelial–mesenchymal transition, angiogenesis, and cell migration in LCCAs compared to non-LCCAs. Additionally, increased immune-suppressive cell infiltration, less B-cell receptor richness, clonality, and high-abundance shared clonotypes were found in LCCAs, which may further deteriorate the antitumor immunity (). These findings suggest that LCCAs may show distinct mechanisms of development and differences in the immune landscape compared to other types of lung cancer.
Conclusion
With the widespread adoption of lung cancer screening, the incidence of LCCAs is expected to increase. The radiological classification linked the imaging manifestations of LCCAs with pathological features, and patients with SPH types II–IV required closer surveillance and even needed surgical treatment. Changes in thickened cystic walls and wall nodules, which are indicative of tumor progression, warranted careful consideration. Despite presenting with more invasive features, the overall prognosis of LCCAs did not significantly differ from that of non-LCCAs (). A diversity of mechanism hypotheses such as check-valve mechanism or progression from pre-existing lung bullae implied the complexity of the etiology of LCCAs. Current diagnostic and therapeutic approaches for LCCAs are limited by the difficulty in distinguishing them from benign lesions during imaging, as well as the uncertainty in grading, staging, and assessing treatment response. Therefore, prospective multicenter studies with long-term follow-up are imperative to validate existing knowledge and standardize the diagnostic and therapeutic strategies for LCCAs.
Statements
Author contributions
JW: Writing – review and editing, Writing – original draft, Conceptualization. JD: Writing – review and editing, Funding acquisition, Conceptualization, Supervision.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Natural Science Foundation of China (No. 82172848).
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.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Abbreviations
LCCAs, lung cancer associated with cystic airspaces; GGO, ground-glass opacities; SSN, subsolid nodules; EGFR, epidermal growth factor receptor; KRAS, Kirsten rat sarcoma viral oncogene homolog; ALK, anaplastic lymphoma kinase; RET, rearranged during transfection; PD-L1, programmed cell death ligand 1; ICIs, immune checkpoint inhibitors; DFS, disease-free survival; OS, overall survival; PFS, progression-free survival; RFS, recurrence-free survival.
References
1.
SungHFerlayJSiegelRLLaversanneMSoerjomataramIJemalAet alGlobal cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer J Clinicians (2021) 71(3):209–49. 10.3322/caac.21660
2.
ValsecchiCPetrellaFFreguiaSFrattiniMArgentieriGPulighedduCet alLung cancers associated with cystic airspaces. Cancers (Basel) (2025) 17(2):307. 10.3390/cancers17020307
3.
FarooqiAOChamMZhangLBeasleyMBAustinJHMMillerAet alLung cancer associated with cystic airspaces. Am J Roentgenology (2012) 199(4):781–6. 10.2214/ajr.11.7812
4.
AustinJHMüllerNLFriedmanPJHansellDMNaidichDPRemy-JardinMet alGlossary of terms for CT of the lungs: recommendations of the nomenclature committee of the fleischner society. Radiology (1996) 200(2):327–31. 10.1148/radiology.200.2.8685321
5.
HansellDMBankierAAMacMahonHMcLoudTCMüllerNLRemyJ. Fleischner society: glossary of terms for thoracic imaging. Radiology (2008) 246(3):697–722. 10.1148/radiol.2462070712
6.
ChenWZhengRBaadePDZhangSZengHBrayFet alCancer statistics in China, 2015. CA: A Cancer J Clinicians (2016) 66(2):115–32. 10.3322/caac.21338
7.
WomackNAGrahamEA. Epithelial metaplasia in congenital cystic disease of the lung: its possible relation to carcinoma of the bronchus. Am J Pathol (1941) 17(5):645–54.
8.
AndersonHJPierceJW. Carcinoma of the bronchus presenting as thin-walled cysts. Thorax (1954) 9(2):100–5. 10.1136/thx.9.2.100
9.
YoshidaTHaradaTFukeSKonishiJYamazakiKKajiMet alLung adenocarcinoma presenting with enlarged and multiloculated cystic lesions over 2 years. Respir Care (2004) 49(12):1522–4.
10.
EmaT. Large cell carcinoma on the bullous wall detected in a specimen from a patient with spontaneous pneumothorax: report of a case. J Thorac Dis (2014) 6(10):E234–E236. 10.3978/j.issn.2072-1439.2014.09.29
11.
KanedaMTarukawaTWatanabeFAdachiKSakaiTNakabayashiH. Clinical features of primary lung cancer adjoining pulmonary bulla. Interactive CardioVascular Thorac Surg (2010) 10(6):940–4. 10.1510/icvts.2010.233551
12.
MergoPJRojasCA. CT characteristics and pathologic basis of solitary cystic lung cancer. Radiology (2019) 291(2):502–3. 10.1148/radiol.2019190329
13.
YaoYYangYHuQXieXJiangWLiuCet alA nomogram combining CT-based radiomic features with clinical features for the differentiation of benign and malignant cystic pulmonary nodules. J Cardiothorac Surg (2024) 19(1):392. 10.1186/s13019-024-02936-z
14.
ShinoharaSSugayaMOnitsukaTMachidaKMatsuoMKatoKet alImpact of the favorable prognosis of patients with lung cancer adjoining bullae. J Thorac Dis (2018) 10(6):3289–97. 10.21037/jtd.2018.05.125
15.
ScholtenETHorewegNde KoningHJVliegenthartROudkerkMMaliWPTMet alComputed tomographic characteristics of interval and post screen carcinomas in lung cancer screening. Eur Radiol (2015) 25(1):81–8. 10.1007/s00330-014-3394-4
16.
HorewegNScholtenETde JongPAvan der AalstCMWeeninkCLammersJWet alDetection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers. Lancet Oncol (2014) 15(12):1342–50. 10.1016/s1470-2045(14)70387-0
17.
QiYZhangQHuangYWangD. Manifestations and pathological features of solitary thin-walled cavity lung cancer observed by CT and PET/CT imaging. Oncol Lett (2014) 8(1):285–90. 10.3892/ol.2014.2065
18.
HeJLiNChenWQWuNShenHBJiangYet alChina guideline for the screening and early detection of lung cancer(2021, Beijing). Zhonghua Zhong Liu Za Zhi (2021) 43(3):243–68. 10.3760/cma.j.cn112152-20210119-00060
19.
RominePESunQFedorenkoCLiLTangMEatonKDet alImpact of diagnostic delays on lung cancer survival outcomes: a population study of the US SEER-medicare database. JCO Oncol Pract (2022) 18(6):e877–e885. 10.1200/op.21.00485
20.
SheardSMoserJSayerCStefanidisKDevarajAVlahosI. Lung cancers associated with cystic airspaces: underrecognized features of early disease. Radiographics (2018) 38(3):704–17. 10.1148/rg.2018170099
21.
DetterbeckFCKumbasarULiAXRubinowitzANTraubeLGosangiBet alLung cancer with air lucency: a systematic review and clinical management guide. J Thorac Dis (2023) 15(2):731–46. 10.21037/jtd-22-1199
22.
GuoJLiangCSunYZhouNLiuYChuX. Lung cancer presenting as thin-walled cysts: an analysis of 15 cases and review of literature. Asia-Pacific J Clin Oncol (2016) 12(1):e105–e112. 10.1111/ajco.12126
23.
de TorresJPBastarrikaGWisniveskyJPAlcaideABCampoASeijoLMet alAssessing the relationship between lung cancer risk and emphysema detected on low-dose CT of the chest. Chest (2007) 132(6):1932–8. 10.1378/chest.07-1490
24.
WangKLengXYiHZhangGHuZMaoY. Lung cancer associated with cystic airspaces: current insights into diagnosis, pathophysiology, and treatment strategies. Cancers (Basel) (2024) 16(23):3930. 10.3390/cancers16233930
25.
PanXWangHYuHChenZWangZWangLet alLung cancer associated with cystic airspaces: CT and pathological features. Translational Cancer Res (2020) 9(6):3960–4. 10.21037/tcr-20-1926
26.
ZhuHZhangLHuangZChenJSunLChenYet alLung adenocarcinoma associated with cystic airspaces: predictive value of CT features in assessing pathologic invasiveness. Eur J Radiol (2023) 165:110947. 10.1016/j.ejrad.2023.110947
27.
ChenXMoSYiB. The spatiotemporal dynamics of lung cancer: 30-year trends of epidemiology across 204 countries and territories. BMC Public Health (2022) 22(1):987. 10.1186/s12889-022-13281-y
28.
FintelmannFJBrinkmannJKJeckWRTroschelFMDigumarthySRMino-KenudsonMet alLung cancers associated with cystic airspaces: natural history, pathologic correlation, and mutational analysis. J Thorac Imaging (2017) 32(3):176–88. 10.1097/rti.0000000000000265
29.
ChangYCHungYCWuYJTangEKWuFZ. Understanding East-West differences in subsolid nodules: prevalence and overdiagnosis implications in lung cancer screening. Ann Med (2025) 57(1):2478321. 10.1080/07853890.2025.2478321
30.
HaiderEBuruteNHarishSBoylanC. Lung cancer associated with cystic airspaces: characteristic morphological features on CT in a series of 11 cases. Clin Imaging (2019) 56:102–7. 10.1016/j.clinimag.2019.02.015
31.
MaZWangSZhuHLiYZhangY. Comprehensive investigation of lung cancer associated with cystic airspaces: predictive value of morphology. Eur J Cardio-Thoracic Surg (2022) 62(5):ezac297. 10.1093/ejcts/ezac297
32.
ShenYZhangYGuoYLiWHuangYWuTet alPrognosis of lung cancer associated with cystic airspaces: a propensity score matching analysis. Lung Cancer (2021) 159:111–6. 10.1016/j.lungcan.2021.07.003
33.
JungWChoSYumSChungJHLeeKWKimKet alStepwise disease progression model of subsolid lung adenocarcinoma with cystic airspaces. Ann Surg Oncol (2020) 27(11):4394–403. 10.1245/s10434-020-08508-4
34.
ToyokawaGShimokawaMKozumaYMatsubaraTHaratakeNTakamoriSet alInvasive features of small-sized lung adenocarcinoma adjoining emphysematous bullae. Eur J Cardio-Thoracic Surg (2018) 53(2):372–8. 10.1093/ejcts/ezx295
35.
IwamaEOkamotoIYabuuchiHTakayamaKHaradaTMatsuoYet alCharacteristics of smoking patients with lung cancer with emphysematous bullae. J Thorac Oncol (2016) 11(9):1586–90. 10.1016/j.jtho.2016.04.024
36.
WatanabeYKusumotoMYoshidaAShiraishiKSuzukiKWatanabeSIet alCavity wall thickness in solitary cavitary lung adenocarcinomas is a prognostic indicator. Ann Thorac Surg (2016) 102(6):1863–71. 10.1016/j.athoracsur.2016.03.121
37.
ByrneDEnglishJCAtkar-KhattraSLamSYeeJMyersRet alCystic primary lung cancer: evolution of computed tomography imaging morphology over time. J Thorac Imaging (2021) 36(6):373–81. 10.1097/rti.0000000000000594
38.
MakiDTakahashiMMurataKSawaiSFujinoSInoueS. Computed tomography appearances of bronchogenic carcinoma associated with bullous lung disease. J Comput Assist tomography (2006) 30:447–52. 10.1097/00004728-200605000-00016
39.
MascalchiMAttinàDBertelliEFalchiniMVellaAPegnaALet alLung cancer associated with cystic airspaces. J Comp Assist Tomography (2015) 39(1):102–8. 10.1097/rct.0000000000000154
40.
MendozaDPHeegerAMino-KenudsonMLanutiMShepardJAOSequistLVet alClinicopathologic and longitudinal imaging features of lung cancer associated with cystic airspaces: a systematic review and meta-analysis. Am J Roentgenology (2021) 216(2):318–29. 10.2214/ajr.20.23835
41.
ShenYXuXZhangYLiWDaiJJiangSet alLung cancers associated with cystic airspaces: CT features and pathologic correlation. Lung Cancer (2019) 135:110–5. 10.1016/j.lungcan.2019.05.012
42.
IwataTNishiyamaNNaganoKIzumiNTsukiokaTHanadaSet alSquamous cell carcinoma presenting as a solitary growing cyst in lung: a diagnostic pitfall in daily clinical practice. Ann Thorac Cardiovasc Surg (2009) 15(3):174–7.
43.
MascalchiM. Lung cancer associated with cystic airspaces in the screening perspective. Ann Surg Oncol (2020) 27(Suppl. 3):960–1. 10.1245/s10434-020-08929-1
44.
ZhengXQiuLHuangYChengRHuangSXuKet alExploring the molecular and immune-landscape of lung cancer associated with cystic airspaces. Mol Immunol (2024) 168:75–88. 10.1016/j.molimm.2024.01.007
45.
TanYGaoJWuCZhaoSYuJZhuRet alCT characteristics and pathologic basis of solitary cystic lung cancer. Radiology (2019) 291(2):495–501. 10.1148/radiol.2019181598
46.
WuCCMaherMMShepardJ-AO. Complications of CT-Guided percutaneous needle biopsy of the chest: prevention and management. Am J Roentgenology (2011) 196(6):W678–W682. 10.2214/ajr.10.4659
47.
MaherMMKalraMKTittonRLBolandGWWittramCAquinoSet alPercutaneous lung biopsy in a patient with a cavitating lung mass: indications, technique, and complications. Am J Roentgenology (2005) 185(4):989–94. 10.2214/ajr.05.0489
48.
BalbiMCapelliSCaroliACulassoNCBarbaMSenkeevRet alCT-Guided core needle biopsy of pulmonary lesions associated with cystic airspaces: a case-control study. Am J Roentgenology (2024) 223(1):e2431042. 10.2214/ajr.24.31042
49.
ShinKEParkJSLeeJW. Diagnostic accuracy of CT-Guided core needle biopsy for thin-walled cavitary pulmonary lesions. Am J Roentgenology (2021) 216(2):369–75. 10.2214/ajr.20.22780
50.
ZhuangY-PWangH-YZhangJFengYZhangL. Diagnostic accuracy and safety of CT-guided fine needle aspiration biopsy in cavitary pulmonary lesions. Eur J Radiol (2013) 82(1):182–6. 10.1016/j.ejrad.2012.09.011
51.
KiranantawatNPetranovicMMcDermottSGilmanMDigumarthySRO ShepardJAet alFeasibility and accuracy of CT-guided percutaneous needle biopsy of cavitary pulmonary lesions. Diagn Interv Radiol (2019) 25(6):435–41. 10.5152/dir.2019.18061
52.
SnoeckxAReyntiensPCarpLSpinhovenMJEl AddouliHVan HoyweghenAet alDiagnostic and clinical features of lung cancer associated with cystic airspaces. J Thorac Dis (2019) 11(3):987–1004. 10.21037/jtd.2019.02.91
53.
DengHZhangJZhaoSZhangJJiangHChenXet alThin-wall cystic lung cancer: a study of 45 cases. Oncol Lett (2018) 16(1):755–60. 10.3892/ol.2018.8707
54.
CarrollMBShroffGSTruongMTWalkerCM. Pearls and pitfalls in lung cancer imaging. Semin Ultrasound CT MRI (2021) 42(6):524–34. 10.1053/j.sult.2021.04.013
55.
ChenHHuangDLinGYangXZhuoMChiYet alThe prevalence and real-world therapeutic analysis of Chinese patients with KRAS-mutant non-small cell lung cancer. Cancer Med (2022) 11(19):3581–92. 10.1002/cam4.4739
56.
DengCChenZBaiJFuFWangSLiYet alClinical characteristics and progression of pre-/minimally invasive lung adenocarcinoma harboring ALK or RET rearrangements: a retrospective cohort study. Transl Lung Cancer Res (2023) 12(12):2440–7. 10.21037/tlcr-23-517
57.
ToyokawaGTakadaKOkamotoTKozumaYMatsubaraTHaratakeNet alHigh frequency of programmed death-ligand 1 expression in emphysematous bullae-associated lung adenocarcinomas. Clin Lung Cancer (2017) 18(5):504–11.e1. 10.1016/j.cllc.2016.11.011
58.
TakadaKOkamotoTShojiFShimokawaMAkamineTTakamoriSet alClinical significance of PD-L1 protein expression in surgically resected primary lung adenocarcinoma. J Thorac Oncol (2016) 11(11):1879–90. 10.1016/j.jtho.2016.06.006
59.
SunJ-MZhouWChoiY-LChoiS-JKimSEWangZet alPrognostic significance of PD-L1 in patients with non–small cell lung cancer: a large cohort study of surgically resected cases. J Thorac Oncol (2016) 11(7):1003–11. 10.1016/j.jtho.2016.04.007
60.
AbikoKMatsumuraNHamanishiJHorikawaNMurakamiRYamaguchiKet alIFN-γ from lymphocytes induces PD-L1 expression and promotes progression of ovarian cancer. Br J Cancer (2015) 112(9):1501–9. 10.1038/bjc.2015.101
61.
SprangerSSpaapenRMZhaYWilliamsJMengYHaTTet alUp-Regulation of PD-L1, IDO, and tregs in the melanoma tumor microenvironment is driven by CD8+ T cells. Sci Translational Med (2013) 5(200):200ra116-200ra116. 10.1126/scitranslmed.3006504
62.
FusiAFestinoLBottiGMasucciGMeleroILoriganPet alPD-L1 expression as a potential predictive biomarker. Lancet Oncol (2015) 16(13):1285–7. 10.1016/s1470-2045(15)00307-1
63.
DaudAIWolchokJDRobertCHwuW-JWeberJSRibasAet alProgrammed death-ligand 1 expression and response to the anti–programmed death 1 antibody pembrolizumab in melanoma. J Clin Oncol (2016) 34(34):4102–9. 10.1200/jco.2016.67.2477
64.
MengSSWangSDZhangYYWangJ. Lung cancer from a focal bulla into thin-walled adenocarcinoma with ground glass opacity - an observation for more than 10 years: a case report. World J Clin Cases (2020) 8(11):2312–7. 10.12998/wjcc.v8.i11.2312
65.
ChristensenJProsperAEWuCCChungJLeeEElickerBet alACR Lung-RADS v2022: assessment categories and management recommendations. J Am Coll Radiol (2024) 21(3):473–88. 10.1016/j.jacr.2023.09.009
66.
LiuYCLiangCHWuYJChenCSTangEKWuFZ. Managing persistent subsolid nodules in lung cancer: education, decision making, and impact of interval growth patterns. Diagnostics (Basel) (2023) 13(16):2674. 10.3390/diagnostics13162674
67.
DouPMengYZhaoHZhangSLiuZZhuLet alSerial CT changes in different components of lung cancer associated with cystic airspace in patients treated with neoadjuvant chemotherapy. Sci Rep (2021) 11(1):23544. 10.1038/s41598-021-02897-6
68.
Paz-AresLGCiuleanuT-ECoboMBennounaJSchenkerMChengYet alFirst-line nivolumab plus ipilimumab with chemotherapy versus chemotherapy alone for metastatic NSCLC in CheckMate 9LA: 3-year clinical update and outcomes in patients with brain metastases or select somatic mutations. J Thorac Oncol (2023) 18(2):204–22. 10.1016/j.jtho.2022.10.014
69.
ParisiCLambertiGZompatoriMGelsominoFSalvagniSSperandiFet alEvolution of cystic airspaces lung lesions on immune checkpoint inhibition in non-small cell lung cancer. J Immunother Cancer (2020) 8(2):e000502. 10.1136/jitc-2019-000502
70.
HanaokaNTanakaFOtakeYYanagiharaKNakagawaTKawanoYet alPrimary lung carcinoma arising from emphysematous bullae. Lung Cancer (2002) 38(2):185–91. 10.1016/s0169-5002(02)00186-1
71.
OnnAChoeDHHerbstRSCorreaAMMundenRFTruongMTet alTumor cavitation in stage I non-small cell lung cancer: epidermal growth factor receptor expression and prediction of poor outcome. Radiology (2005) 237(1):342–7. 10.1148/radiol.2371041650
72.
LanC-CWuH-CLeeC-HHuangS-FWuY-K. Lung cancer with unusual presentation as a thin-walled cyst in a young nonsmoker. J Thorac Oncol (2010) 5(9):1481–2. 10.1097/jto.0b013e3181e77f2e
73.
XueXWangPXueQWangNZhangLSunJet alComparative study of solitary thin-walled cavity lung cancer with computed tomography and pathological findings. Lung Cancer (2012) 78(1):45–50. 10.1016/j.lungcan.2012.06.004
74.
KorolE. The correlation of carcinoma and congenital cystic emphysema of the lungs. Dis Chest (1953) 23(4):403–11. 10.1378/chest.23.4.403
75.
StoloffILKanofskyPMagilnerL. The risk of lung cancer in males with bullous disease of the lung. Arch Environ Health Int J (1971) 22(1):163–7. 10.1080/00039896.1971.10665827
76.
NickoladzeGD. Bullae and lung cancer. J Thorac Cardiovasc Surg (1993) 106(1):186. 10.1016/s0022-5223(19)33764-x
77.
TsutsuiMArakiYShirakusaTInutsukaS. Characteristic radiographic features of pulmonary carcinoma associated with large bulla. Ann Thorac Surg (1988) 46(6):679–83. 10.1016/s0003-4975(10)64733-9
78.
GoldsteinMJSniderGLLibersonMPoskeRM. Bronchogenic carcinoma and giant bullous disease. Am Rev Respir Dis (1968) 97(6):1062–70. 10.1164/arrd.1968.97.6P1.1062
79.
OhdamaSAkagawaSMatsubaraOYoshizawaY. Primary diffuse alveolar septal amyloidosis with multiple cysts and calcification. Eur Respir J (1996) 9(7):1569–71. 10.1183/09031936.96.09071569
Summary
Keywords
lung cancer, lung cancer associated with cystic airspaces, clinicopathological features, image characteristics, pathogenesis, prognosis
Citation
Wang J and Dai J (2025) Lung cancer associated with cystic airspaces: current progress and future perspectives. Oncol. Rev. 19:1615365. doi: 10.3389/or.2025.1615365
Received
21 April 2025
Accepted
04 September 2025
Published
24 September 2025
Volume
19 - 2025
Edited by
Yeon Wook Kim, Seoul National University, Republic of Korea
Reviewed by
Fu-Zong Wu, Kaohsiung Veterans General Hospital, Taiwan
Lili Qin, Affiliated Zhongshan Hospital of Dalian University, China
Updates
Copyright
© 2025 Wang and Dai.
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: Jie Dai, daijie@tongji.edu.cn
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.