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Original Article
Correlations and prognostic impacts of tumor spread through airspaces in surgically resected non–small cell lung cancer: a retrospective study from Jordan
Ola Abu Al Karsaneh1orcid, Amani Al-Rousan2orcid, Sofian Al Shboul3orcid, Mohammed El-Sadoni2orcid, Anas Hayajneh4orcid, Moath Alrjoub4orcid, Sura Al-Rawabdeh2orcid, Tareq Saleh3,5orcid
Journal of Pathology and Translational Medicine 2026;60(1):92-106.
DOI: https://doi.org/10.4132/jptm.2025.10.15
Published online: January 9, 2026

1Department of Microbiology, Pathology and Forensic Medicine, Faculty of Medicine, The Hashemite University, Zarqa, Jordan

2Princess Iman Center for Research and Laboratory Sciences, King Hussein Medical Center, Royal Medical Services, Amman, Jordan

3Department of Pharmacology and Public Health, Faculty of Medicine, The Hashemite University, Zarqa, Jordan

4Department of Pathology and Microbiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan

5Department of Pharmacology & Therapeutics, College of Medicine & Health Sciences, Arabian Gulf University, Manama, Bahrain

Corresponding Author: Ola Abu Al Karsaneh, MD Department of Microbiology, Pathology and Forensic Medicine, Faculty of Medicine, The Hashemite University, Zarqa 13133, Jordan Tel: +962-062-5-390-3333 (5577), Fax: +962-5-3903352, E-mail: olaa@hu.edu.jo
• Received: June 14, 2025   • Revised: September 4, 2025   • Accepted: October 14, 2025

© The Korean Society of Pathologists/The Korean Society for Cytopathology

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Background
    Spread through air spaces (STAS) has been identified as an invasion pattern in non–small cell lung cancer (NSCLC). This study evaluated the association between tumor STAS and various clinicopathological parameters of NSCLC, with emphasis on the prognostic role of STAS.
  • Methods
    We evaluated 96 cases of NSCLC for STAS. STAS-positive cases were graded according to the distance between the edge of the primary tumor and the furthest STAS, in millimeters, or the number of alveoli separating STAS from the tumor.
  • Results
    STAS was observed in 33 patients (34.4%). In 28 cases, STAS was located in airspaces >3 alveoli away from the primary tumor. In 18 cases, STAS was found in airspaces > 2.5 mm away from the edge of the primary tumor. Morphologically, 18 cases of STAS demonstrated a solid nest pattern, eight showed a micropapillary cluster pattern, and seven exhibited a single-cell pattern. In multivariate analysis, only high tumor grade (p = .001) was independently associated with STAS in NSCLC. The presence of STAS (p = .047), lymphovascular invasion (p = .001), positive surgical margin (p = .021), adenocarcinoma histology (p = .020), and postoperative therapy (p = .049) showed a statistically significant lower overall survival (OS). However, multivariate analyses showed that STAS is not an independent predictor of OS in NSCLC. In addition, STAS-positive cases with an extension of >2.5 mm had significantly lower disease-free survival (DFS) (p = .018).
  • Conclusions
    The findings demonstrated that STAS is independently associated with a higher tumor grade and appears to have an adverse impact on OS and DFS in the examined subpopulation.
Lung cancer remains a primary cause of cancer-related mortality worldwide, despite the reported decline in cancer mortality rates, significantly driven by lung cancer due to early detection and advances in treatment [1]. Non–small cell lung cancer (NSCLC) accounts for about 85% of lung cancer cases. In Jordan, lung cancer is the third most common cancer in both sexes and the most common cause of cancer-related mortality in males [2].
Metastasis and invasion are the major prognostic factors in cancer patients. Invasive mechanisms in lung cancer include non-lepidic histological patterns and stromal, vascular, lymphatic, and pleural invasions. Shiono et al. [3] suggested that the presence of 10 or more floating clusters of cancer cells in the airspaces surrounding main tumors in cases of pulmonary metastasis from colorectal cancer was significantly related to local recurrence in these patients. Subsequently, Onozato et al. [4] reported the presence of tumor islands outside the borders of the primary tumors in cases of primary lung adenocarcinoma (ADC); these islands were located at least a few alveoli away from the main tumor. Moreover, cases associated with these tumor islands carried a significantly worse prognosis and a higher risk of recurrence compared to those without these tumor islands. In 2015, the concept of spread through air spaces (STAS) was considered by the World Health Organization (WHO) as a mechanism of invasion in lung ADC [5] based on a validation of the concept in two large studies [6,7].
STAS is defined as the spread of single cells, solid nests, or micropapillary clusters of cancer cells into air spaces in the lung parenchyma beyond the edge of the primary tumor. The presence of STAS diagnoses lepidic ADC and excludes a diagnosis of adenocarcinoma in situ (AIS) or minimally invasive adenocarcinoma (MIA) in small tumors [5]. Although most of the studies investigated the characteristics of STAS in conventional lung ADC, it has also been described in other primary lung tumors, including invasive mucinous ADC [8], squamous cell carcinoma (SqCC) [9], and neuroendocrine tumors [10]. The reported incidence of STAS in lung cancer ranges between 15% and 73%, according to different studies and depending on the different stages of the involved tumors [11-17]. Some studies found that the presence of STAS was associated with higher tumor grade, higher tumor stage, lymph node metastasis, high-grade architectural patterns (micropapillary and solid growth patterns), absence of lepidic component, pleural invasion, and lymphovascular and perineural invasion [12-14,16]. More importantly, several reports indicated that STAS is associated with shorter overall survival (OS) and recurrence-free survival (RFS) in patients with lung ADC treated with surgery, suggesting its potential role as a significant risk factor for recurrence [11,18-26]. Different attempts have been made to score STAS according to the number of floating tumor clusters [27] or the distance from the edge of the primary tumor [7,14,28]; however, no consensus has been reached.
Lobectomy has been considered the primary surgical procedure for early-stage lung cancer. However, depending on the overall conditions of the patient, sub-lobar resections, including wedge resection and segmentectomy, are considered an acceptable alternative [29,30]. Although there is no consensus on whether these limited resections increase the risk of regional recurrence compared to lobectomy in patients with STAS, some studies reported that sub-lobar resection was associated with a higher recurrence risk in patients with early-stage lung cancer who have STAS [22,31,32]. Considering this reported adverse effect, it appears that STAS-positive patients who receive sublobar resection may benefit from a completion lobectomy or adjuvant therapy to lower the chance of recurrence. However, an undocumented observation in Jordanian hospitals indicated that a majority of surgeons and pathologists do not consider the prognostic effect of STAS. Hence, this study aimed to assess the incidence of STAS in NSCLC, its correlation with various clinicopathological variables, and its prognostic value in a subpopulation of Jordanian patients. This may help in the prognostic stratification of the patients and the determination of the need for any further treatment.
Study setting and patients' sample
In this work, we retrospectively collected the data and tissue samples of the patients who underwent surgical resection of their primary lung cancer at Jordan Royal Medical Services (JRMS) and King Abdullah University Hospital (KAUH) between 2005 and 2024. The inclusion criteria included patients with a primary lung cancer diagnosis of any stage and any histological subtype who underwent wedge resection, segmentectomy, lobectomy, or pneumonectomy. The exclusion criteria included the following: (1) postoperative diagnosis of AIS or MIA; (2) the utilization of preoperative neoadjuvant therapy; (3) patients with multiple primary lung tumors; (4) lack of tumor slides or tissue for review; and (5) incomplete clinical and follow-up data. After applying these criteria, 96 cases (63 from JRMS and 33 from KAUH) were enrolled. The patients' relevant clinicopathological parameters, including age, sex, smoking history, tumor location, surgical procedure, histological subtypes, margin status, pathological stage, and follow-up data, were obtained from the patients' original medical records and pathological reports.
The surgically resected lung cancer specimens were fixed using the conventional fixation method, where the specimens were immersed and fixed in 10% neutral-buffered formalin within 5 minutes of the resection. Formalin was injected into the bronchi or through the pleura until the lung was dilated, allowing the formalin to permeate the specimen. The fixation duration ranged from 18 to 48 hours. Paraffin-embedded 4-µm sections, hematoxylin and eosin (H&E)–stained slides of all cases were thoroughly reviewed by two pathologists to confirm the histological features and assess other features not included in the pathology report (O.A.A.K. and A.A.R.). Tumor subtypes were determined according to the WHO guidelines [5,33]. Grading of the ADC cases was determined based on the combination of the predominant and the worst architectural patterns [33,34]. Briefly, tumors predominantly having a lepidic architecture with less than 20% of high-grade patterns (solid, micropapillary, cribriform, or complex glands) were classified as well differentiated ADC (grade 1); tumors predominantly having acinar and papillary patterns with less than 20% of high-grade patterns were classified as moderately differentiated ADC (grade 2), and any ADC with more than 20% of high-grade patterns was categorized as poorly differentiated (grade 3). SqCC cases were graded as well differentiated (grade 1), moderately differentiated (grade 2), or poorly differentiated (grade 3), based on the degree of tumor keratinization, histological, and cytomorphological features. For the purposes of disease-free survival (DFS) analysis only, tumor grades were categorized into two groups: low-grade tumors (including grades 1 and 2) and high-grade tumors (grade 3), due to the limited number of patients who experienced recurrence or progression of their disease. Depending on the time of diagnosis, the stages were determined according to the seventh and eighth editions of the American Joint Committee on Cancer (AJCC) TNM classification system [35,36]. Positive pleural invasion was defined as tumor invasion beyond the elastic lamina of the pleura.
Histopathological evaluation of STAS
The H&E-stained tumor sections were independently examined by two expert pathologists (O.A.A.K. and A.A.R.), who were unaware of the clinical data, and a consensus was reached in cases of disagreement. STAS was defined as the presence of tumor cells within the air spaces beyond the edge of the primary tumor, as previously documented in the literature [37,38]. The edge of the primary tumor was defined as the outer border of the tumor, which is clearly appreciated during low-power histological examination. To reliably assess the presence of STAS, all selected cases had a circumferential rim of normal lung tissue surrounding the edge of the tumor in at least one slide. Certain considerations were taken to avoid confusion with artificially detached tumor cells that result from section processing. Tumor cells were considered STAS if they were present continuously in the air spaces from the tumor edge, and individual isolated tumor cells or rare tumor clusters found far away from the tumor without spreading continuously were considered artifacts. Additionally, random tumor clusters scattered across the tissue surface or located at the edge of the tissue section, along with clusters exhibiting jagged edges due to fragmentation or knife cuts during processing, were also classified as artifacts. Linear strips of tumor cells that appeared lifted from the alveolar wall or stroma due to poor preservation, as well as benign-looking ciliated bronchial cells or pneumocytes, and tumor cell clusters mixed with ciliated cell strips were similarly considered artifacts [6,10,14,28]. Furthermore, tumor cells were distinguished from alveolar macrophages based on their morphological features, where tumor cells exhibited nuclear atypia characterized by a high nuclear-to-cytoplasmic ratio, hyperchromasia, and frequent nucleoli. In contrast, macrophages do not show atypical features; they have small, uniform nuclei with inconspicuous or absent nucleoli and foamy cytoplasm in nonsmokers or cytoplasmic brown to black pigments in smokers [28].
Three morphological patterns of STAS were appreciated: (1) single cell pattern composed of discohesive single tumor cells within the alveoli, (2) solid nest pattern, where clusters of tumor cells present in the air spaces, and (3) micropapillary cluster pattern, defined as papillary structures without fibrovascular cores. Initially, the cases were divided into two groups: STAS-positive and STAS-negative. After that, due to a lack of consensus on a grading method, STAS-positive cases were reclassified in various ways to assess the prognostic value of STAS extension. In the first method, the extension of STAS was assessed by measuring the distance between the edge of the primary tumor and the furthest intraalveolar tumor cell clusters in millimeters (mm). Then, the cases were divided into two groups: group I, where all tumor clusters were present ≤2.5 mm away from the tumor, and group II, where any tumor clusters were present >2.5 mm away from the main tumor [14]. In the second approach, the number of alveoli between the edge of the primary tumor and STAS was counted, and cases were categorized into two groups: those with limited spread when ≤3 alveolar spaces separated STAS from the primary tumor, and those with extensive spread when >3 alveoli separated STAS from the primary tumor [7].
Statistical analysis
All statistical analyses were performed using IBM SPSS Statistics ver. 25 (IBM Corp., Armon, NY, USA). OS was determined from the time of surgery to the time of death or the last follow-up visit. DFS was measured from the time of surgery to the time of disease recurrence or progression. OS and DFS were calculated using the Kaplan-Meier method with the log-rank test. Multivariate analysis was conducted using a Cox proportional hazards regression model to identify independent prognostic factors associated with OS. Categorical variables were analyzed using the chi-square test or Fisher’s exact test, as appropriate. The association between clinicopathological variables and the presence of STAS was assessed using multivariate logistic regression, with results reported as odds ratios (OR) and 95% confidence intervals (CI). A p-value < .05 was considered statistically significant.
Basic characteristics of patients
The baseline demographic and clinicopathological characteristics of NSCLC patients are summarized in Table 1, categorized by STAS status. A total of 96 patients were included in the study (n = 96). Most patients were males (n = 70, 72.9%), with a median age of 63 years (range, 26 to 80 years). Sixty-one patients (63.5%) were current or former smokers. Most tumors (n = 60, 62.5%) were on the right side, and the right upper lobe was the most common location. Fifty-four patients (56.3%) underwent lobectomy, while the remainder had sublobar resection. A total of 18 patients (18.8%) had positive bronchial or parenchymal margins. Histologically, 61 patients (63.5%) had ADC, 17 patients (17.7%) had SqCC, and 18 patients (18.8%) had other lung cancer subtypes. Regarding the histological grade, 16.7% (n = 16) of the patients had grade 1 tumors, while 47.9% (n = 46) and 35.4% (n = 34) had grades 2 and 3 tumors, respectively. Just more than half of the patients had pathological stage I or II (n = 51, 53.1%). The majority of patients (n = 58, 60.4%) had a tumor size of 3 cm or less, and a minority of cases had confirmed lymph node metastasis (24%). Visceral pleural invasion was present in 24% of the cases, lymphovascular invasion (LVI) was identified in 31.3%, and necrosis was found in 34.4% of the cases. The most frequent histological growth pattern in ADC cases was the acinar pattern (n = 34, 55.7%), followed by the solid pattern (n = 10, 16.4%), while the least frequent one was the micropapillary growth pattern (n = 3, 4.9%). Only 39.6% of the patients received postoperative chemo/radiation therapy.
STAS presence and association with the clinicopathological variables in NSCLC
Among the 96 NSCLC samples, STAS was identified in 33 patients (34.4%). Of these, twenty-eight cases showed extensive STAS, with tumor cells presenting in airspaces more than three alveoli away from the primary tumor. In 18 cases, STAS was found in airspaces more than 2.5 mm away from the edge of the primary tumor. Morphologically, eighteen cases of STAS demonstrated a solid nest pattern, eight demonstrated a micropapillary cluster pattern, and seven showed a single-cell pattern. Representative images of STAS with different morphological patterns are shown in Fig. 1AD.
The presence of STAS was more frequently observed in ADC cases (44.3% vs. 17.7% in SqCC vs. 16.7% in other subtypes) and in patients with a history of smoking (39.3% vs. 25.7% in never-smokers). Moreover, STAS occurrence was more frequent in patients with grade 3 tumors (61.8% vs. 23.9% and 6.3% in grades 2 and 1 tumors, respectively), in patients with stage III or IV, in patients with positive LVI, positive visceral pleural invasion, and in tumor cases with necrosis. ADC cases with predominant solid or micropapillary growth patterns showed the highest frequency of STAS. Interestingly, STAS was slightly more frequent in sublobar resections (wedge resection or segmentectomy) than in lobectomy cases (38.1% vs. 31.4%). Among the clinicopathological variables, ADC histological subtype (p = .031), grade 3 tumors (p < .001), and presence of LVI (p = .030) were significantly associated with the presence of STAS; however, no significant association was found with the other parameters in the univariate analysis (Table 1).
Furthermore, we performed multivariate logistic regression analysis on variables that showed a statistically significant association (p < .05) with STAS presence in the univariate analyses. Only tumor grade remained significantly associated with STAS. Specifically, with grade 1 as a reference, patients with grade 3 tumors had higher odds of having STAS (OR, 3.994; 95% CI, 0.434 to 36.709; p = .002). In comparison, histological subtype (using ADC as a reference) and LVI (with absent LVI as a reference) were not independently associated with STAS (Table 2).
Survival analyses of STAS and other clinicopathological variables
The mean OS for the patients was 26 months (range, 0 to 191 months), and the mean DFS was 28 months (range, 0 to 86 months). During the follow-up period, 16 patients (16.7%) experienced recurrence, comprising six with locoregional recurrence, nine with distant metastatic recurrence, and one with both. In NSCLC patients, Kaplan-Meier analysis with a log-rank test demonstrated a statistically significant lower OS with the presence of STAS (p = .047), with the mean OS dropping from 141 months in patients without STAS to 65.4 months in patients with STAS (Fig. 2A). No statistically significant difference in OS was identified among different subgroups of STAS-positive cases, either according to morphology or the distance of extension. Further, positive surgical margin, LVI, ADC tumor histology, and postoperative therapy showed statistically significant associations with lower OS (p = .021, p = .001, p = .020, and p = .049, respectively) (Fig. 2BE).
In NSCLC patients, the mean DFS rate was slightly lower in patients with STAS than in those without STAS. However, no statistically significant difference was identified (p = .681). Nonetheless, STAS-positive cases with an extension of ≤2.5 mm showed statistically significant (p = .018) higher DFS compared to those with an extension of >2.5 mm (Fig. 2F); however, no statistically significant difference in DFS was identified using three alveoli as a cutoff point for STAS extension (p = .953) (Fig. 2G). Moreover, patients with high-grade tumors and those who underwent sublobar resection had a statistically significant lower DFS (p = .044 and p = .032, respectively) (Fig. 2H, I). Of note, these findings could not be further evaluated in a multivariate analysis due to the limited number of cases that experienced disease recurrence or progression.
When we stratified NSCLC cases by different subgroups of clinicopathological parameters and investigated the impact of STAS on OS, we found a statistically significant negative impact of STAS on OS in subgroups with tumor size ≤3 cm, negative visceral pleural invasion, and pT1 tumor stage (Fig. 3AC). Regarding the surgical procedure, patients who underwent sublobar resection had lower mean OS and DFS, regardless of whether they had STAS or not, and no significant difference was identified.
In the subsequent step, we examined the impact of STAS and other clinicopathological variables on OS within the cohort of ADC cases (n = 61). Kaplan-Meier curves with a log-rank test revealed no statistically significant difference in OS between STAS-positive and STAS-negative tumors (p > .30). Similarly, neither the morphological subtype of STAS nor its distance of extension (≤2.5 mm vs. >2.5 mm or ≤3 alveoli vs. >3 alveoli) influenced the OS. In contrast, patients whose tumors exhibited LVI experienced markedly poorer OS (p = .033) (Supplementary Fig. S1) and showed a steeper early mortality slope. Other factors, including tumor grade, pathological stage, and additional clinicopathological variables, did not convincingly stratify survival in ADC cases. Due to the limited number of cases that had disease recurrence or progression in the ADC cohort, no analysis on DFS was performed. Additionally, for SqCC, the cohort size was small (n = 17), and only two deaths occurred during the follow-up period, which rendered the Kaplan-Meier and Cox proportional hazards regression model analyses unreliable.
Prognostic value of clinicopathological variables for OS in NSCLC patients
We performed Cox proportional hazards regression analyses to evaluate the prognostic significance of the clinicopathological variables and to identify potential independent predictors of OS. Univariate analysis identified several clinicopathological variables significantly associated with OS. For example, histological subtype was significantly associated with OS (p = .049); patients with other histological subtypes of lung cancer had a significantly lower hazard of death compared to ADC (HR, 0.127; 95% CI, 0.017 to 0.953; p = .045). However, the survival difference between SqCC and ADC was not statistically significant (HR, 0.316; 95% CI, 0.074 to 1.354; p = .121). Additionally, the presence of LVI (HR, 3.743; 95% CI, 1.613 to 8.684; p = .002) and positive margin status (HR, 2.644; 95% CI, 1.119 to 6.251; p = .027) significantly increased the risk of death. Other variables tested in the univariate analysis were not significantly associated with OS (p > .05). Moreover, variables significantly associated with OS in univariate analysis were included in the multivariate Cox regression model. In this analysis, only LVI (HR, 3.143; 95% CI, 1.347 to 7.338; p = .008) and positive margin status (HR, 2.448; 95% CI, 1.033 to 5.801; p = .042) remained significant independent predictors of poorer OS, while the histological subtype was not independently predictive of OS after adjustment for other variables (p = .087) (Table 3).
Prognostic value of clinicopathological variables for OS in ADC patients
Finally, we conducted a Cox proportional hazards regression model to further evaluate the prognostic impact of clinicopathological variables, including STAS, for the ADC cohort but not for SqCC due to an insufficient number of cases and events. In the univariate analysis, LVI was identified as the only significant prognostic factor for OS (HR, 2.559; 95% CI, 1.041 to 6.288; p = .041). Margin positivity showed a strong but non-significant trend towards increased mortality (HR, 2.19; p = .097). In contrast, STAS status—along with its extent, morphological subtypes, tumor grade, tumor stage, smoking history, and other variables—did not show an independent association with mortality (e.g., STAS; HR, 1.474; p = .395) (Table 4). Because only one variable (LVI) reached a statistical significance in the univariate analysis, we did not construct a multivariate model for the ADC cohort.
This study found that STAS is significantly associated with high histological tumor grade of lung cancer, where high tumor grade (grade 3) serves as an independent predictor for STAS. STAS presence, positive surgical margin, LVI, ADC histology, and postoperative therapy were associated with statistically significant lower OS in NSCLC cases. However, based on multivariate analysis, only positive surgical margin and LVI were identified as independent predictors of poorer OS. Furthermore, STAS was associated with a statistically significant lower OS in patients with a tumor size of ≤3 cm, pT1 tumor stage, and negative pleural invasion.
In the ADC cohort, only LVI showed a statistically significant lower OS in a univariate analysis, which prevented conducting a multivariate analysis. Although the mean DFS rate was slightly lower in patients with STAS than in those without STAS, no statistically significant difference was identified in NSCLC cases. However, an extension of STAS > 2.5 mm away from the edge of the primary tumor, high tumor grade, and sublobar resection were found to be significantly associated with a lower DFS in a univariate analysis.
The incidence of STAS found in this study was 34.4% across the different histological subtypes, which falls within the range reported by other studies [10,12,13,16,39-42]. The solid nest pattern was the most frequently observed (54.5%). STAS was slightly more frequent in sublobar resections than in lobectomy specimens. Interestingly, a completion lobectomy may potentially be beneficial for these patients with STAS-positive tumors, reducing the risk of tumor recurrence or progression [43]. In this study, we found that ADC histology, high histological tumor grade, and the presence of LVI were associated with STAS in the univariate analysis. Further, the multivariate analysis proved that high tumor grade is an independent predictor of STAS. Several studies analyzed the correlation between STAS and other clinicopathological parameters. Consistent with our findings, some studies found an association between STAS and high tumor grade/poor differentiation [4,39,40,44,45] or LVI [11,27,40,46]. For example, Lee et al. [40] investigated STAS in 316 cases of lung ADC and found that STAS was significantly associated with high-grade histology, LVI, higher stage, and lymph node metastasis. Uruga et al. [27] studied 208 cases of early-stage lung ADC and found a significant association between higher STAS and LVI, solid predominant ADC, visceral pleural invasion, and tumor size ≥ 10 mm. Other studies also reported a significant association between STAS and different parameters, including micropapillary growth pattern, nodal involvement, higher stage, perineural invasion, and pleural invasion; however, none of these variables were associated with STAS in our work [12,16,31,39,40,47]. It is possible that we were not able to identify a statistically significant association between STAS and these variables due to the small sample size.
The association of STAS with poor OS and DFS has been extensively suggested. A meta-analysis involving 3754 patients demonstrated a significant association between STAS and worse RFS and OS in NSCLC [26]. Another meta-analysis, including 47 studies, also concluded that STAS presence is associated with poor prognosis [48]. A study by Chen et al. [23] reported that STAS is significantly associated with lower OS and RFS in stage IB NSCLC. Another study included STAS among the pathological features that adversely affect the OS and progression-free survival (PFS) in stage I lung ADC [49]. Another interesting study reported that STAS presence negatively impacts OS and RFS in stage IB patients. Furthermore, it observed that adjuvant chemotherapy improves RFS outcomes in stage IB STAS-positive patients with high-risk recurrence factors, such as LVI, pleural invasion, and poor differentiation [50]. Moreover, other studies included lung cancer cases of stages I–IV and reported the same adverse effect of STAS on survival [6,7,16,19,21,40,51-54]. On the other hand, a recent study did not find an association between STAS and worse survival or higher recurrence rates; however, they attributed this to a limited follow-up duration [55].
Herein, we included NSCLC cases of stages I–IV and found a significant association between STAS and lower OS but not DFS in a univariate analysis. However, based on our multivariate analysis, STAS was not an independent predictor of prognosis, which is likely due to the small sample size. Furthermore, STAS did not reveal an independent prognostic impact on OS in univariate analysis in the ADC cohort. In line with previous results, we found that STAS presence has a negative impact on OS in subgroups of early-stage lung cancer, defined as tumor stage pT1, tumor size ≤ 3 cm, and negative visceral pleural invasion.
Due to a lack of consensus on measuring the extension of STAS in lung cancer, in this study, we measured the distance between STAS and primary tumor in mm using a cut-off value of 2.5 mm and according to the number of alveoli using a cut-off value of 3 alveoli. In both grading methods, no significant association was found between STAS extension and OS, either in the entire patient cohort or the ADC cohort; however, STAS extension of >2.5 mm from the edge of the primary tumor was significantly associated with lower DFS in the NSCLC cohort. However, this finding could not be further assessed in a multivariate analysis due to the small number of cases showing disease recurrence or progression. Few studies have assessed the prognostic significance of STAS distance using different methodologies to define STAS distance. Han et al. [14] measured the distance between the edge of the primary tumor and the furthest STAS in mm and observed that STAS II, defined as STAS ≥ 2.5 mm away from the edge of the primary tumor, is an independent poor prognostic factor for recurrence in stage I lung ADC, regardless of the extent of resection. Hashinokuchi et al. [53] categorized cases of STAS as limited (≤1 mm) and extended (>1 mm) based on the median maximum spread distance between the edge of the primary tumor and the furthest STAS and demonstrated that extended STAS was an independent prognostic factor for OS and RFS. On the other hand, Yanagawa et al. [9] used a cutoff value of 0.8 mm between the edge of the primary tumor and the furthest STAS and found no difference in OS or RFS between near STAS (<0.8 mm) and far STAS (>0.8 mm).
Similar to the results of this study, Warth et al. [7], Lu et al. [42], Kadota et al. [28], and Dai et al. [41] defined STAS distance as the number of alveoli between the edge of the main tumor and the furthest STAS, and using a cutoff point of 3 alveoli between limited STAS (< 3 alveoli) and extensive STAS (>3 alveoli), they reported no significant prognostic impact of STAS distance in NSCLC. Taken together, these results suggest that the prognostic significance of STAS distance depends on the methodology used and how the cutoff value was determined. Therefore, further research is warranted to explore STAS's biological perspectives, establish a method to measure STAS distance, and determine the clinically significant cutoff value.
Emphasizing the significance of STAS, a large staging study of lung cancer conducted by the International Association for the Study of Lung Cancer (IASLC) supported the recommendation to include STAS as a histological descriptor for the Ninth Edition of the TNM Classification of Lung Cancer [56]. Additionally, the IASLC aims to gather more information in the coming years to assess the relative importance of STAS in comparison to LVI and visceral pleural invasion in the staging of lung cancer, which will aid in the development of the 10th edition of the TNM stage classification.
While our study's strength includes using different classifications of STAS and being the first study to investigate STAS in lung cancer among Jordanian patients, it has several potential limitations. First, this is a retrospective study, which may introduce some selection bias, and some data were missing, which could have negatively affected the results and sample size. Second, the small sample size may have influenced the results, and furthermore, it hindered the proper stratification and analysis of the data based on histological subtypes or different stages, which may have introduced biases in the results, given the different prognoses associated with different tumor histological subtypes or other parameters. Third, formalin fixation may have affected STAS distance. Finally, due to the small number of patients who experienced disease recurrence, no further DFS analysis was performed.
In conclusion, our data indicated that a high histological grade is an independent predictor of STAS in lung cancer. Additionally, the results suggested that STAS may have a negative impact on prognosis. However, it is essential to consider that STAS may be merely a characteristic of high-grade tumors rather than a significant, independent prognostic indicator. Therefore, additional extensive multicenter and prospective studies are necessary to clarify the prognostic role of STAS in lung cancer and to establish a clinically significant cutoff value for STAS distance. This may help clinicians in the prognostic stratification of patients and inform decisions regarding further treatment.
The Data Supplement is available with this article at https://doi.org/10.4132/jptm.2025.10.15.
Fig. 1.
Representative histopathological images of spread through air spaces (STAS) with different morphological subtypes. (A) STAS in an adenocarcinoma composed of small micropapillary clusters (circles) located beyond the edge of the primary tumor. (B) Micropapillary cluster pattern. (C) Solid nest pattern. (D) Single-cell pattern.
jptm-2025-10-15f1.jpg
Fig. 2.
Kaplan-Meier overall survival (OS) and disease-free survival (DFS) curves according to different clinicopathological parameters in non–small cell lung cancer patients. (A) The correlation between the OS and spread through air spaces (STAS) status. (B) The correlation between the OS and margin status. (C) The correlation between the OS and lymphovascular invasion. (D) The correlation between the OS and tumor histological subtype. (E) The correlation between the OS and postoperative therapy. (F) The correlation between the DFS and the extension of STAS from the tumor edge (≤2.5 mm vs. >2.5 mm). (G) The correlation between the DFS and the extension of STAS from the tumor edge (≤3 alveoli vs. >3 alveoli). (H) The correlation between DFS and tumor grade. (I) The correlation between DFS and surgical procedure. p < .05 is considered significant.
jptm-2025-10-15f2.jpg
Fig. 3.
Survival association of spread through air (STAS) in different clinicopathological subgroups. (A) Overall survival (OS) according to STAS status within the patient population with tumor size ≤ 3 cm, with negative visceral pleural invasion (B), and with pT1 tumor stage (C). p < .05 is considered significant.
jptm-2025-10-15f3.jpg
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Table 1.
Clinicopathological characteristics of the enrolled patients according to STAS status
Variable Total (n = 96) STAS status p-value
Present Absent
Age (yr)
 ≤60 36 (37.5) 12 (33.3) 24 (66.7) .868
 >60 60 (62.5) 21 (35.0) 39 (65.0)
Sex
 Male 70 (72.9) 27 (38.6) 43 (61.4) .155
 Female 26 (27.1) 6 (23.1) 20 (76.9)
Smoking status
 Former or current smoker 61 (63.5) 24 (39.3) 37 (60.7) .176
 Never-smoker 35 (36.5) 9 (25.7) 26 (74.3)
Tumor side
 Right 60 (62.5) 22 (36.7) 38 (63.3) .542
 Left 36 (37.5) 11 (30.6) 25 (69.4)
Tumor site
 RUL 37 (38.5) 13 (35.1) 24 (64.9) .828
 RML 7 (7.3) 2 (28.6) 5 (71.4)
 RLL 16 (16.7) 7 (43.8) 9 (56.2)
 LUL 20 (20.8) 5 (25.0) 15 (75.0)
 LLL 16 (16.7) 6 (37.5) 10 (62.5)
Surgical procedure
 Lobectomy 54 (56.3) 17 (31.4) 37 (68.6) .499
 Sublobar resection (wedge resection or segmentectomy) 42 (43.7) 16 (38.1) 26 (61.9)
Margin status
 Positive 18 (18.8) 9 (50.0) 9 (50.0) .122
 Negative 78 (81.3) 24 (30.8) 54 (69.2)
Histological subtypes
 Adenocarcinoma 61 (63.5) 27 (44.3) 34 (55.7) .031
 Squamous cell carcinoma 17 (17.7) 3 (17.7) 14 (82.3)
 Other 18 (18.8) 3 (16.7) 15 (83.3)
Tumor grade
 Grade 1 16 (16.7) 1 (6.3) 15 (93.7) <.001
 Grade 2 46 (47.9) 11 (23.9) 35 (76.1)
 Grade 3 34 (35.4) 21 (61.8) 13 (38.2)
pT stage classification
 pT1 48 (50.0) 14 (29.1) 34 (70.9) .513
 pT2 26 (27.1) 12 (46.2) 14 (53.8)
 pT3 16 (16.7) 5 (31.3) 11 (68.7)
 pT4 5 (5.2) 2 (40.0) 3 (60.0)
 Not assessable 1 (1.0) 0 1 (100)
pN stage classification
 pN0 43 (44.8) 13 (30.2) 30 (69.8) .801
 pN1 15 (15.6) 5 (33.3) 10 (66.7)
 pN2 8 (8.3) 3 (37.5) 5 (62.5)
 pNx 30 (31.3) 12 (40.0) 18 (60.0)
Pathological stage
 Stage I, II 51 (53.1) 18 (35.3) 33 (64.7) .313
 Stage III, IV 17 (17.7) 8 (47.1) 9 (52.9)
 NA 28 (29.2) 7 (25.0) 21 (75.0)
Tumor size
 ≤3 cm 58 (60.4) 19 (32.8) 39 (67.2) .545
 >3 cm 36 (37.5) 14 (38.9) 22 (61.1)
 Not assessable 2 (2.1) 0 2 (100)
Visceral pleural invasion
 Present 23 (24.0) 10 (43.5) 13 (56.5) .291
 Absent 70 (72.9) 22 (31.4) 48 (68.6)
 Not assessable 3 (3.1) 1 (33.3) 2 (66.7)
Lymphovascular invasion
 Present 30 (31.3) 15 (50.0) 15 (50.0) .03
 Absent 66 (68.7) 18 (27.3) 48 (72.7)
Necrosis
 Present 33 (34.4) 15 (45.5) 18 (54.5) .098
 Absent 63 (65.6) 18 (28.6) 45 (71.4)
Predominant growth pattern (ADC cases = 61) 61(100) 27 (44.3) 34 (55.7) .065
 Lepidic 9 (14.8) 2 (22.2) 7 (77.8)
 Acinar 34 (55.7) 13 (38.2) 21 (61.8)
 Papillary 5 (8.2) 2 (40.0) 3 (60.0)
 Solid 10 (16.4) 7 (70.0) 3 (30.0)
 Micropapillary 3 (4.9) 3 (100) 0
Postoperative chemo/radiotherapy
 Yes 38 (39.6) 17 (44.8) 21 (55.2) .084
 No 58 (60.4) 15 (25.9) 43 (74.1)

Values are presented as number (%). p < .05 is considered significant.

STAS, spread through air spaces; RUL, right upper lobe; RML, right middle lobe; RLL, right lower lobe; LUL, left upper lobe; LLL, left lower lobe; ADC, adenocarcinoma.

Table 2.
Multivariate logistic regression analysis for predicting STAS status
Predictor OR 95% CI p-value
Histological subtype (reference: ADC) - - .135
 SqCC 3.908 0.926–16.493 .064
 Other 2.201 0.470–10.317 .566
Tumor grade (reference: grade 1) .001
 Grade 2 0.209 0.076–0.575 .221
 Grade 3 3.994 0.434–36.709 .002
LVI (reference: absent) 0.621 0.219–1.760 .370

p < .05 is considered significant.

STAS, spread through air spaces; OR, odds ratio; CI, confidence interval; ADC, adenocarcinoma; SqCC, squamous cell carcinoma; LVI, lymphovascular invasion.

Table 3.
Cox proportional hazards regression model for overall survival in patients with non-small cell lung cancer
Variable Reference category Univariate analysis Multivariate analysis
HR 95% CI p-value HR 95% CI p-value
Age ≤60 yr 2.017 0.793–5.128 .141
Sex Female 0.679 0.267–1.730 .679
Histological subtype (overall) ADC - - .049 .087
 SqCC ADC 0.316 0.074–1.354 .121 0.343 0.080–1.474 .151
 Other ADC 0.127 0.017–0.953 .045 0.162 0.021–1.215 .077
Lymphovascular invasion Absent 3.743 1.613–8.684 .002 3.143 1.347–7.338 .008
Margin status Negative 2.644 1.119–6.251 .027 2.448 1.033–5.801 .042
Necrosis Absent 1.272 0.537–3.016 .584
Pathological stage Stage I–II 2.746 0.930–8.107 .067
pN category (overall) pN0 - - .396
 pN1 pN0 2.162 0.704–6.640 .178
 pN2 pN0 1.108 0.136–9.021 .924
Predominant growth pattern (ADC overall) Acinar - - .222
 Solid Acinar 2.706 0.883–8.294 .081
 Papillary Acinar 1.057 0.285–3.920 .934
 Micropapillary Acinar 0.750 0.095–5.946 .786
 Lepidic Acinar 0.264 0.034–2.071 .205
pT category (overall) pT1 - - .387
 T2 pT1 1.831 0.662–5.064 .244
 T3 pT1 2.011 0.657–6.161 .221
 T4 pT1 2.766 0.567–0.724 .137
Smoking status Smoker 0.502 0.197–1.276 .147
STAS distance from tumor edge ≤2.5 mm 0.901 0.287–2.825 .858
STAS from edge of tumor ≤3 alveoli 0.611 0.159–2.341 .472
STAS morphological subtype (overall) Single cells - - .259
 Solid nests Single cells 554.268 0.233–1,316,585.998 .111
 Micropapillary Single cells 16.782 0.037–7,547.348 .366
STAS status Absent 2.250 0.987–5.129 .054
Surgical procedure Lobectomy 1.635 0.717–3.728 .242
Treatment history (adjuvant) Treated 0.441 0.190–1.022 .056
Tumor grade Grade 1 .126
 Grade 2 Grade 1 5.786 0.744–45.001 .093
 Grade 3 Grade 1 8.096 1.041–62.954 .046
Tumor location Left 1.122 0.474–2.658 .794
Tumor size ≤3 cm 1.171 0.512–2.677 .708
Visceral pleural invasion Negative 2.164 0.911–5.141 .080

p < .05 is considered significant.

HR, hazard ratio; CI, confidence interval; SqCC, squamous cell carcinoma; ADC, adenocarcinoma; STAS, spread through air spaces.

Table 4.
Cox proportional hazards regression model for overall survival in patients with adenocarcinoma
Variable Reference category Univariate analysis
HR 95% CI p-value
Age ≤60 yr 1.317 0.525–3.578 .519
Sex Female 1.103 0.332–3.663 .873
Lymphovascular invasion Absent 2.559 1.041–6.288 .041
Margin status Negative 2.190 0.868–5.527 .097
Necrosis Absent 2.200 0.837–5.784 .110
Pathologic stage Stage I–II 2.121 0.646–6.961 .215
pN category (overall) pN0 - - .516
 pN1 pN0 1.969 0.620–6.961 .250
 pN2 pN0 0.000 0.000 .983
Predominant growth pattern Acinar - - .222
 Solid Acinar 2.706 0.883–8.294 .081
 Papillary Acinar 1.057 0.285–3.920 .934
 Micropapillary Acinar 0.750 0.095–5.946 .786
 Lepidic Acinar 0.264 0.034–2.071 .205
pT category (overall) pT1 - - .654
 T2 pT1 1.219 0.383–3.880 .737
 T3 pT1 1.833 0.579–5.802 .303
 T4 pT1 2.040 0.518–8.031 .308
Smoking status Smoker 0.578 0.200–1.518 .266
STAS distance from tumor edge ≤2.5 mm 1.103 0.332–3.663 .873
STAS from edge of tumor ≤3 alveoli 0.725 0.184–2.861 .646
STAS morphologic subtype (overall) Single cells - - .411
 Solid nests Single cells 954.001 0.021–44,129,592.574 .211
 Micropapillary Single cells 17.077 0.004-77,386.721 .509
STAS status Absent 1.474 0.603-3.603 .395
Surgical procedure Lobectomy 0.985 0.408-2.382 .974
Treatment history (adjuvant) Treated 0.832 0.339-2.039 .668
Tumor grade Grade 1 .510
Grade 2 Grade 1 3.226 0.410-25.403 .266
Grade 3 Grade 1 3.361 0.424-26.660 .251
Tumor location Left 1.658 0.634-4.337 .303
Tumor size ≤3 cm 1.163 0.480-2.816 .738
Visceral pleural invasion Negative 1.232 0.478-3.175 .666

p < .05 is considered significant.

HR, hazard ratio; CI, confidence interval; STAS, spread through air spaces.

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        Correlations and prognostic impacts of tumor spread through airspaces in surgically resected non–small cell lung cancer: a retrospective study from Jordan
        J Pathol Transl Med. 2026;60(1):92-106.   Published online January 9, 2026
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      Correlations and prognostic impacts of tumor spread through airspaces in surgically resected non–small cell lung cancer: a retrospective study from Jordan
      Image Image Image Image
      Fig. 1. Representative histopathological images of spread through air spaces (STAS) with different morphological subtypes. (A) STAS in an adenocarcinoma composed of small micropapillary clusters (circles) located beyond the edge of the primary tumor. (B) Micropapillary cluster pattern. (C) Solid nest pattern. (D) Single-cell pattern.
      Fig. 2. Kaplan-Meier overall survival (OS) and disease-free survival (DFS) curves according to different clinicopathological parameters in non–small cell lung cancer patients. (A) The correlation between the OS and spread through air spaces (STAS) status. (B) The correlation between the OS and margin status. (C) The correlation between the OS and lymphovascular invasion. (D) The correlation between the OS and tumor histological subtype. (E) The correlation between the OS and postoperative therapy. (F) The correlation between the DFS and the extension of STAS from the tumor edge (≤2.5 mm vs. >2.5 mm). (G) The correlation between the DFS and the extension of STAS from the tumor edge (≤3 alveoli vs. >3 alveoli). (H) The correlation between DFS and tumor grade. (I) The correlation between DFS and surgical procedure. p < .05 is considered significant.
      Fig. 3. Survival association of spread through air (STAS) in different clinicopathological subgroups. (A) Overall survival (OS) according to STAS status within the patient population with tumor size ≤ 3 cm, with negative visceral pleural invasion (B), and with pT1 tumor stage (C). p < .05 is considered significant.
      Graphical abstract
      Correlations and prognostic impacts of tumor spread through airspaces in surgically resected non–small cell lung cancer: a retrospective study from Jordan
      Variable Total (n = 96) STAS status p-value
      Present Absent
      Age (yr)
       ≤60 36 (37.5) 12 (33.3) 24 (66.7) .868
       >60 60 (62.5) 21 (35.0) 39 (65.0)
      Sex
       Male 70 (72.9) 27 (38.6) 43 (61.4) .155
       Female 26 (27.1) 6 (23.1) 20 (76.9)
      Smoking status
       Former or current smoker 61 (63.5) 24 (39.3) 37 (60.7) .176
       Never-smoker 35 (36.5) 9 (25.7) 26 (74.3)
      Tumor side
       Right 60 (62.5) 22 (36.7) 38 (63.3) .542
       Left 36 (37.5) 11 (30.6) 25 (69.4)
      Tumor site
       RUL 37 (38.5) 13 (35.1) 24 (64.9) .828
       RML 7 (7.3) 2 (28.6) 5 (71.4)
       RLL 16 (16.7) 7 (43.8) 9 (56.2)
       LUL 20 (20.8) 5 (25.0) 15 (75.0)
       LLL 16 (16.7) 6 (37.5) 10 (62.5)
      Surgical procedure
       Lobectomy 54 (56.3) 17 (31.4) 37 (68.6) .499
       Sublobar resection (wedge resection or segmentectomy) 42 (43.7) 16 (38.1) 26 (61.9)
      Margin status
       Positive 18 (18.8) 9 (50.0) 9 (50.0) .122
       Negative 78 (81.3) 24 (30.8) 54 (69.2)
      Histological subtypes
       Adenocarcinoma 61 (63.5) 27 (44.3) 34 (55.7) .031
       Squamous cell carcinoma 17 (17.7) 3 (17.7) 14 (82.3)
       Other 18 (18.8) 3 (16.7) 15 (83.3)
      Tumor grade
       Grade 1 16 (16.7) 1 (6.3) 15 (93.7) <.001
       Grade 2 46 (47.9) 11 (23.9) 35 (76.1)
       Grade 3 34 (35.4) 21 (61.8) 13 (38.2)
      pT stage classification
       pT1 48 (50.0) 14 (29.1) 34 (70.9) .513
       pT2 26 (27.1) 12 (46.2) 14 (53.8)
       pT3 16 (16.7) 5 (31.3) 11 (68.7)
       pT4 5 (5.2) 2 (40.0) 3 (60.0)
       Not assessable 1 (1.0) 0 1 (100)
      pN stage classification
       pN0 43 (44.8) 13 (30.2) 30 (69.8) .801
       pN1 15 (15.6) 5 (33.3) 10 (66.7)
       pN2 8 (8.3) 3 (37.5) 5 (62.5)
       pNx 30 (31.3) 12 (40.0) 18 (60.0)
      Pathological stage
       Stage I, II 51 (53.1) 18 (35.3) 33 (64.7) .313
       Stage III, IV 17 (17.7) 8 (47.1) 9 (52.9)
       NA 28 (29.2) 7 (25.0) 21 (75.0)
      Tumor size
       ≤3 cm 58 (60.4) 19 (32.8) 39 (67.2) .545
       >3 cm 36 (37.5) 14 (38.9) 22 (61.1)
       Not assessable 2 (2.1) 0 2 (100)
      Visceral pleural invasion
       Present 23 (24.0) 10 (43.5) 13 (56.5) .291
       Absent 70 (72.9) 22 (31.4) 48 (68.6)
       Not assessable 3 (3.1) 1 (33.3) 2 (66.7)
      Lymphovascular invasion
       Present 30 (31.3) 15 (50.0) 15 (50.0) .03
       Absent 66 (68.7) 18 (27.3) 48 (72.7)
      Necrosis
       Present 33 (34.4) 15 (45.5) 18 (54.5) .098
       Absent 63 (65.6) 18 (28.6) 45 (71.4)
      Predominant growth pattern (ADC cases = 61) 61(100) 27 (44.3) 34 (55.7) .065
       Lepidic 9 (14.8) 2 (22.2) 7 (77.8)
       Acinar 34 (55.7) 13 (38.2) 21 (61.8)
       Papillary 5 (8.2) 2 (40.0) 3 (60.0)
       Solid 10 (16.4) 7 (70.0) 3 (30.0)
       Micropapillary 3 (4.9) 3 (100) 0
      Postoperative chemo/radiotherapy
       Yes 38 (39.6) 17 (44.8) 21 (55.2) .084
       No 58 (60.4) 15 (25.9) 43 (74.1)
      Predictor OR 95% CI p-value
      Histological subtype (reference: ADC) - - .135
       SqCC 3.908 0.926–16.493 .064
       Other 2.201 0.470–10.317 .566
      Tumor grade (reference: grade 1) .001
       Grade 2 0.209 0.076–0.575 .221
       Grade 3 3.994 0.434–36.709 .002
      LVI (reference: absent) 0.621 0.219–1.760 .370
      Variable Reference category Univariate analysis Multivariate analysis
      HR 95% CI p-value HR 95% CI p-value
      Age ≤60 yr 2.017 0.793–5.128 .141
      Sex Female 0.679 0.267–1.730 .679
      Histological subtype (overall) ADC - - .049 .087
       SqCC ADC 0.316 0.074–1.354 .121 0.343 0.080–1.474 .151
       Other ADC 0.127 0.017–0.953 .045 0.162 0.021–1.215 .077
      Lymphovascular invasion Absent 3.743 1.613–8.684 .002 3.143 1.347–7.338 .008
      Margin status Negative 2.644 1.119–6.251 .027 2.448 1.033–5.801 .042
      Necrosis Absent 1.272 0.537–3.016 .584
      Pathological stage Stage I–II 2.746 0.930–8.107 .067
      pN category (overall) pN0 - - .396
       pN1 pN0 2.162 0.704–6.640 .178
       pN2 pN0 1.108 0.136–9.021 .924
      Predominant growth pattern (ADC overall) Acinar - - .222
       Solid Acinar 2.706 0.883–8.294 .081
       Papillary Acinar 1.057 0.285–3.920 .934
       Micropapillary Acinar 0.750 0.095–5.946 .786
       Lepidic Acinar 0.264 0.034–2.071 .205
      pT category (overall) pT1 - - .387
       T2 pT1 1.831 0.662–5.064 .244
       T3 pT1 2.011 0.657–6.161 .221
       T4 pT1 2.766 0.567–0.724 .137
      Smoking status Smoker 0.502 0.197–1.276 .147
      STAS distance from tumor edge ≤2.5 mm 0.901 0.287–2.825 .858
      STAS from edge of tumor ≤3 alveoli 0.611 0.159–2.341 .472
      STAS morphological subtype (overall) Single cells - - .259
       Solid nests Single cells 554.268 0.233–1,316,585.998 .111
       Micropapillary Single cells 16.782 0.037–7,547.348 .366
      STAS status Absent 2.250 0.987–5.129 .054
      Surgical procedure Lobectomy 1.635 0.717–3.728 .242
      Treatment history (adjuvant) Treated 0.441 0.190–1.022 .056
      Tumor grade Grade 1 .126
       Grade 2 Grade 1 5.786 0.744–45.001 .093
       Grade 3 Grade 1 8.096 1.041–62.954 .046
      Tumor location Left 1.122 0.474–2.658 .794
      Tumor size ≤3 cm 1.171 0.512–2.677 .708
      Visceral pleural invasion Negative 2.164 0.911–5.141 .080
      Variable Reference category Univariate analysis
      HR 95% CI p-value
      Age ≤60 yr 1.317 0.525–3.578 .519
      Sex Female 1.103 0.332–3.663 .873
      Lymphovascular invasion Absent 2.559 1.041–6.288 .041
      Margin status Negative 2.190 0.868–5.527 .097
      Necrosis Absent 2.200 0.837–5.784 .110
      Pathologic stage Stage I–II 2.121 0.646–6.961 .215
      pN category (overall) pN0 - - .516
       pN1 pN0 1.969 0.620–6.961 .250
       pN2 pN0 0.000 0.000 .983
      Predominant growth pattern Acinar - - .222
       Solid Acinar 2.706 0.883–8.294 .081
       Papillary Acinar 1.057 0.285–3.920 .934
       Micropapillary Acinar 0.750 0.095–5.946 .786
       Lepidic Acinar 0.264 0.034–2.071 .205
      pT category (overall) pT1 - - .654
       T2 pT1 1.219 0.383–3.880 .737
       T3 pT1 1.833 0.579–5.802 .303
       T4 pT1 2.040 0.518–8.031 .308
      Smoking status Smoker 0.578 0.200–1.518 .266
      STAS distance from tumor edge ≤2.5 mm 1.103 0.332–3.663 .873
      STAS from edge of tumor ≤3 alveoli 0.725 0.184–2.861 .646
      STAS morphologic subtype (overall) Single cells - - .411
       Solid nests Single cells 954.001 0.021–44,129,592.574 .211
       Micropapillary Single cells 17.077 0.004-77,386.721 .509
      STAS status Absent 1.474 0.603-3.603 .395
      Surgical procedure Lobectomy 0.985 0.408-2.382 .974
      Treatment history (adjuvant) Treated 0.832 0.339-2.039 .668
      Tumor grade Grade 1 .510
      Grade 2 Grade 1 3.226 0.410-25.403 .266
      Grade 3 Grade 1 3.361 0.424-26.660 .251
      Tumor location Left 1.658 0.634-4.337 .303
      Tumor size ≤3 cm 1.163 0.480-2.816 .738
      Visceral pleural invasion Negative 1.232 0.478-3.175 .666
      Table 1. Clinicopathological characteristics of the enrolled patients according to STAS status

      Values are presented as number (%). p < .05 is considered significant.

      STAS, spread through air spaces; RUL, right upper lobe; RML, right middle lobe; RLL, right lower lobe; LUL, left upper lobe; LLL, left lower lobe; ADC, adenocarcinoma.

      Table 2. Multivariate logistic regression analysis for predicting STAS status

      p < .05 is considered significant.

      STAS, spread through air spaces; OR, odds ratio; CI, confidence interval; ADC, adenocarcinoma; SqCC, squamous cell carcinoma; LVI, lymphovascular invasion.

      Table 3. Cox proportional hazards regression model for overall survival in patients with non-small cell lung cancer

      p < .05 is considered significant.

      HR, hazard ratio; CI, confidence interval; SqCC, squamous cell carcinoma; ADC, adenocarcinoma; STAS, spread through air spaces.

      Table 4. Cox proportional hazards regression model for overall survival in patients with adenocarcinoma

      p < .05 is considered significant.

      HR, hazard ratio; CI, confidence interval; STAS, spread through air spaces.


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