Next Article in Journal
Seasonal Effects on Corneal Densitometry and Haze After Mitomycin C-Assisted Photorefractive Keratectomy
Previous Article in Journal
Triglyceride Threshold for Intensive Lipid-Lowering Therapy in Acute Hyper-Triglyceridemic Pancreatitis: A Retrospective Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Lymphatic Invasion Acts as a ‘Hidden Risk Factor’: Four-Fold Increased Mortality Risk in Early-Stage (TNM Stage I, N0) Non-Small Cell Lung Cancer

1
Department of Thoracic Surgery, Koç University School of Medicine, 34010 Istanbul, Türkiye
2
Department of Thoracic Surgery, VKF American Hospital, 34365 Istanbul, Türkiye
3
Department of Pathology, Koç University School of Medicine, 34010 Istanbul, Türkiye
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2026, 15(12), 4582; https://doi.org/10.3390/jcm15124582 (registering DOI)
Submission received: 10 April 2026 / Revised: 26 May 2026 / Accepted: 27 May 2026 / Published: 12 June 2026
(This article belongs to the Section Respiratory Medicine)

Abstract

Background/Objectives: Despite advances in the TNM staging system, prognostic heterogeneity persists in early-stage non-small cell lung cancer (NSCLC). Lymphatic invasion (LI) is a known marker of aggression, but its independent significance in the critical, low-risk Stage I, N0 subgroup—typically ineligible for adjuvant therapy—remains poorly defined. We hypothesized that LI acts as a powerful, yet hidden, risk factor in this highly favourable cohort. Methods: This retrospective cohort study included 988 consecutive patients who underwent curative anatomical resection for NSCLC. All patients underwent complete resection with pathologically confirmed negative surgical margins (R0 resection). Cases were staged according to the 9th Edition of the TNM Classification of Malignant Tumours (TNM-9) and grouped as LI-positive or LI-negative. A critical subgroup analysis focused on 347 truly low-risk patients (TNM Stage I, N0, no vascular or pleural invasion). Overall survival (OS) was evaluated using the Kaplan–Meier method and multivariable Cox proportional hazards models. Results: In the entire cohort (n = 988), LI was present in 40.9% of cases. LI positivity was an independent predictor of worse OS in multivariable analysis (HR: 1.520, 95% CI: 1.004–2.301, p = 0.048). In the low-risk subgroup (n = 347), the presence of LI resulted in a drastic survival divergence, with 5-year OS declining from 96.1% (LI-negative) to 83.8% (LI-positive). Multivariable analysis confirmed LI as an independent adverse prognostic factor in this subgroup (HR: 4.002, 95% CI: 1.567–10.221, p = 0.004). Conclusions: Lymphatic invasion is a robust, independent adverse prognostic factor in resected NSCLC. LI may identify a subset of early-stage N0 NSCLC patients who warrant closer postoperative surveillance and prospective evaluation for adjuvant treatment strategies. Validation in prospective cohorts is required before LI can be formally integrated into staging algorithms or treatment guidelines.

1. Introduction

Globally, lung cancer continues to be a primary driver of cancer-related death. The high incidence and fatal outcomes associated with this disease necessitate continuous and in-depth research in oncology [1]. Cancer staging is a fundamental approach, applied since the early periods of medical history, aimed at defining disease extent and predicting its biological course. Staging allows for the prediction of anatomical disease spread and potential treatment response, thereby estimating patient survival and quality of life.
The most widely used system for non-small cell lung cancer (NSCLC) is the TNM staging system, which systematically evaluates the primary tumour size and invasion degree (T), regional lymph node involvement (N), and distant metastasis (M). While the TNM system is highly valuable, it has been updated numerous times due to changing diagnostic and treatment protocols over the years [2]. Nonetheless, it can often be insufficient in fully explaining prognosis, as significant differences in outcomes are frequently observed among patients within the same stage [3]. Studies focusing on specific early-stage subsets, such as p-T1aN0M0 adenocarcinoma [4] and Stage IB NSCLC [5], have repeatedly highlighted this prognostic heterogeneity, underscoring the necessity for better stratification tools.
Research has increasingly shown that differences in tumour aggressiveness and behaviour play a significant role in determining prognosis. Pathological features reflecting tumour aggression, such as visceral pleural invasion, have been incorporated into the TNM classification and play an essential role in adjuvant therapy decisions. Similarly, lymphatic invasion (LI) is recognised as another important prognostic factor [6]. LI has been established as an adverse prognostic factor for survival and a valid parameter for treatment selection in numerous malignancies, including breast, colon, and gastric cancers [7,8]. It is hypothesised that LI reflects tumour aggressiveness, acting as a critical first step in the metastatic cascade [9]. Furthermore, in gynaecological and head and neck tumours, adjuvant therapy is suggested even in cases of node-negative disease when LI is present [10,11].
However, the definitive role of LI in the prognosis and treatment planning of NSCLC remains controversial. The current body of knowledge is limited, leading to uncertainties regarding its impact on overall patient survival. Determining the independent prognostic significance of LI, particularly in early-stage (Stage I) N0 patients who, according to current guidelines, do not require adjuvant therapy, is paramount for the personalisation of clinical decisions.
Therefore, this study focuses on the potential effects of lymphatic invasion on the prognosis of NSCLC patients. We aimed to definitively establish the independent prognostic role of LI in NSCLC, specifically within the early-stage subgroup ineligible for standard adjuvant therapy, with the hope of providing a clearer understanding of its impact and potentially contributing to individualised treatment protocols.

2. Materials and Methods

2.1. Patient Selection and Study Design

This retrospective cohort study included a total of 988 consecutive patients who underwent anatomical resection (lobectomy or segmentectomy) for primary non-small cell lung cancer between February 2006 and September 2023. Archival surgical specimens were re-evaluated, and all cases were retrospectively divided into two distinct groups: lymphatic invasion-positive and lymphatic invasion-negative.
Exclusion criteria were patients who received neoadjuvant therapy for primary lung cancer and those who underwent non-anatomical resection (e.g., wedge resection). All included patients underwent complete resection with pathologically confirmed negative surgical margins (R0 resection). Patients with microscopically or macroscopically incomplete resection (R1 or R2) were excluded from the analysis. Any death observed within the first 90 postoperative days was classified as operative mortality.

2.2. Prognostic Subgroup Definition

The main focus of the study—the prognostic subgroup without indication for adjuvant therapy—was defined based on the 9th Edition of the TNM Classification of Malignant Tumours (TNM-9) and international guidelines. The following specific criteria were used to select patients for this critical subgroup analysis: tumour size less than 3 cm; absence of vascular and pleural invasion; pathologically N0 (lymph node negative) status; Stage I primary lung cancer; and absence of any documented adjuvant therapy. These two groups (LI-positive and LI-negative) were then comparatively analysed for tumour type, dominant histological subtype, nodal involvement status, tumour stage, and overall survival.

2.3. Histological Evaluation

The tumour-containing lung resection material was sliced and fixed in 10% formalin solution overnight. Following fixation, all tumours with a diameter less than 3 cm were entirely sampled, and for larger tumours, the maximum possible number of samples were taken, in accordance with guideline recommendations. The prepared sections were stained with haematoxylin-eosin (H&E) and independently assessed for lymphatic invasion by two experienced pulmonary pathologists (P.B. and P.F.). Lymphatic invasion was assessed exclusively using standard H&E staining in all cases; immunohistochemical markers such as D2-40 or podoplanin were not employed at any stage of the evaluation. Lymphatic invasion was defined as the presence of tumour foci, free or attached to the vessel wall, within the lumen of lymphatic vessels located inside or adjacent to the tumour. A case was considered “lymphatic invasion positive” if tumour foci were detected in at least one lymphatic vessel (Figure 1).

2.4. Statistical Analysis

Descriptive statistics were expressed as mean values ± SD or as number and percentage. Baseline characteristics between LI-positive and LI-negative groups were compared using the Chi-square test and Student’s t-test (or analysis of variance for continuous data). Survival data were analysed using the Kaplan–Meier method to estimate time-specific survival rates (2- and 5-year OS). The difference between survival curves was tested using the log-rank test. The independent prognostic significance of LI was evaluated using multivariable Cox proportional hazards regression models. For the entire cohort, the model included age, sex, histological type, tumour diameter, grouped pathological stage (Stage I/Stage II/Stage III–IV), extent of resection (standard vs. extended), and calendar period (2006–2014 vs. 2015–2023) as covariates. For the low-risk subgroup, the model included age, sex, histological type, and tumour diameter; calendar period was not included due to the limited number of events (n = 19), which precluded the safe addition of further covariates without risking model overfitting. A probability of p < 0.05 was considered statistically significant. All computations were performed using SPSS Statistics for Windows, version 26.0 (IBM Corp., Armonk, NY, USA).

2.5. Ethical Approval

The study protocol was approved by the Institutional Ethics Committee of Koç University (Approval Date: 20 November 2025; Reference Number: 2025.529.IRB2.251). The research was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. Due to the retrospective nature of the study, the requirement for individual informed consent was formally waived by the Institutional Review Board. Patient data were fully anonymised before analysis.

3. Results

3.1. Patient and Tumour Characteristics

A total of 988 patients who underwent anatomical lung resection for NSCLC were included in the study. The study cohort demonstrated low perioperative risk, with 8 patients (0.81%) experiencing operative mortality. Lymphatic invasion (LI) was detected in 404 patients (40.9%). As shown in Table 1, the presence of LI was significantly associated with more aggressive tumour characteristics. Patients with LI-positive tumours demonstrated significantly larger mean tumour size (33.9 mm ± 20.0 vs. 26.7 mm ± 21.5; p < 0.001).
It should be noted that the single patient with pathological N3 disease in this cohort represents a case of false-negative mediastinal staging occurring in the pre-EBUS era of our series. Preoperative PET-CT demonstrated no suspicious lymph node uptake, and subsequent mediastinoscopy with intraoperative frozen section analysis of the contralateral station 4R lymph node returned a negative result, prompting proceeding with curative-intent pulmonary resection. N3 nodal involvement at station 4R was identified only on final pathological examination of the mediastinoscopy specimen, representing an unexpected pathological upstaging rather than intentional contralateral nodal dissection. The 18 patients with pathological Stage IV disease represent a carefully selected group of oligometastatic cases who underwent surgery as part of a curative-intent multimodality strategy without requiring neoadjuvant systemic therapy prior to pulmonary resection. The majority had undergone prior surgical resection of solitary intracranial metastases, with a minority presenting with solitary subcutaneous metastasis.
Furthermore, LI was a strong indicator of regional metastatic burden; while the majority of LI-negative patients presented with N0 status (87.8%), LI-positive tumours exhibited significantly higher rates of regional nodal involvement (N1, N2a, N2b, and N3) (p < 0.001). Specifically, the rate of N1 involvement was significantly higher in LI-positive patients (27.7%; 112/404) compared to LI-negative patients (10.3%; 60/584). More critically, the rate of N2a involvement in LI-positive patients (13.9%; 56/404) was substantially higher than that observed in LI-negative patients (1.7%; 10/584). LI was also significantly associated with a higher tumour stage at diagnosis (p < 0.001) (Table 1).
The relationship between LI and histological tumour type was analysed (Table 2). LI was observed in 38.1% (238/625) of adenocarcinoma cases and 43.1% (113/262) of squamous cell carcinoma cases (p = 0.017). When focusing on the adenocarcinoma subgroup (n = 625) and its distinct histological patterns (Table 3), a statistically significant relationship was found (p < 0.001). Among the classified cases, LI was observed most frequently in the solid (53.2%; 66/124) and acinar predominant patterns (42.9%; 105/245). Conversely, the lepidic pattern showed the lowest LI rate (19.4%; 12/62).

3.2. Overall Survival Analysis

The entire cohort was followed for a median period of 67 months (range 0–233 months). Of the 976 evaluable patients, 108 deaths were recorded during follow-up: 41 in the LI-negative group (n = 580) and 67 in the LI-positive group (n = 396). Overall survival (OS) outcomes were assessed utilising the Kaplan–Meier method. The Kaplan–Meier survival curves revealed that LI positivity was significantly associated with reduced overall survival across the entire cohort (log-rank test, p < 0.001; Figure 2). The 2-year OS rate was 95.3% for LI-negative patients compared to 93.3% for LI-positive patients, and the 5-year OS rate was 88.1% and 84.1%, respectively.
Multivariable Cox proportional hazards regression analysis, adjusting for age, sex, histological type, tumour diameter, pathological stage, extent of resection, and calendar period (2006–2014 vs. 2015–2023), confirmed the independent prognostic impact of LI on OS (HR: 1.520, 95% CI: 1.004–2.301, p = 0.048). Notably, calendar period was itself a highly significant prognostic factor (HR: 0.217, 95% CI: 0.145–0.326, p < 0.001), reflecting substantially improved outcomes in the more recent era. The complete multivariable model results are presented in Table 4.

3.3. Prognostic Role in the Early-Stage Subgroup

A predefined critical subgroup of 347 early-stage patients (TNM Stage I, N0, no vascular or pleural invasion, no adjuvant therapy) was isolated for specific analysis. Within this cohort, LI was detected in 55 patients (15.9%). Of the 343 evaluable patients, 19 total deaths were recorded during follow-up: 11 in the LI-negative group (n = 289) and 8 in the LI-positive group (n = 54).
LI remained a highly significant prognostic factor for reduced overall survival (log-rank test, p = 0.002; Figure 3). The 2-year OS rate was 97.6% for LI-negative patients compared to 90.7% for LI-positive patients, and the 5-year OS rate was 96.1% and 83.8%, respectively.
Multivariable Cox proportional hazards regression analysis, adjusting for age, sex, histological type, and tumour diameter, confirmed LI as an independent and highly significant adverse prognostic factor in this low-risk subgroup (HR: 4.002, 95% CI: 1.567–10.221, p = 0.004). The complete multivariable model results are presented in Table 5. The wide confidence interval reflects the limited number of events (n = 19) in this highly selected cohort.

4. Discussion

The diverse biological behaviour of NSCLC and the influence of numerous prognostic factors present challenges in standardising treatment approaches. Although LI is viewed as a critical step in tumour progression and the onset of metastasis [12], the inability of the standard TNM staging system to account for prognostic differences within the same stage is well-documented [4,5]. This retrospective cohort study, utilising a large series of 988 consecutive patients with robust long-term follow-up, aimed to definitively establish the independent prognostic role of LI, particularly focusing on its critical impact on early-stage patients currently ineligible for adjuvant therapy.

4.1. The General Prognostic Role of LI and Nodal Relationship

Our primary findings strongly support the adverse prognostic significance of LI. The presence of LI was significantly associated with markers of aggressive disease, including larger tumour size, advanced stage, and dramatically higher rates of regional nodal involvement (p < 0.001). This observation supports the hypothesis that LI represents the initial anatomical gateway for the metastatic cascade [13]. In multivariable analysis adjusting for age, sex, histology, tumour size, pathological stage, extent of resection, and calendar period, LI was confirmed as an independent predictor of worse OS (HR: 1.520, 95% CI: 1.004–2.301, p = 0.048).

4.2. The Critical and Independent Impact of LI in Early-Stage Patients

The most important and clinically relevant contribution of our study is the demonstration that LI has a profound and independent prognostic effect in the highly selected, low-risk subgroup of 347 early-stage patients (TNM Stage I, N0, no vascular/pleural invasion). These are precisely the patients for whom current international guidelines do not recommend adjuvant therapy [14].
In this homogeneous, low-risk cohort, the presence of LI led to a drastic survival divergence, with the 5-year OS rate declining from 96.1% (LI-negative) to 83.8% (LI-positive). Multivariable Cox regression analysis confirmed that LI is an independent adverse prognostic factor in this setting (HR: 4.002, 95% CI: 1.567–10.221, p = 0.004), after adjusting for age, sex, histological type, and tumour diameter. The wide confidence interval reflects the limited number of events (n = 19) in this highly selected population, and the finding should be interpreted with appropriate caution pending validation in larger prospective cohorts.
This finding is supported by other investigations; for example, Tamiya et al. similarly highlighted the critical importance of LI as a predictor of recurrence even in patients with Stage I disease [15]. These data suggest that the presence of LI acts as a “hidden risk factor” that current TNM staging fails to recognise [16], leading to prognostic divergence even in patients deemed low risk [17].
An alternative mechanistic explanation for the inferior survival observed in LI-positive N0 patients is the possibility of occult nodal micrometastases undetectable by standard H&E-based lymph node sampling. LI, as the anatomical first step in lymphatic dissemination, may reflect early nodal seeding below the threshold of conventional pathological detection, effectively representing a biologically node-positive phenotype in clinically N0 patients. This hypothesis underscores the potential value of more sensitive nodal evaluation techniques, such as molecular staging or serial sectioning with immunohistochemistry, in future prospective studies.

4.3. Relationship with Histological Subtype

Our findings clarify the biological basis of LI’s role, particularly in adenocarcinoma. LI was observed most frequently in the solid (53.2%; 66/124) and acinar (42.9%; 105/245) predominant patterns, compared to the indolent lepidic (19.4%) pattern (p < 0.001). This provides additional evidence that LI is an inherent expression of high-grade tumour biology and metastatic potential [18], aligning with reports such as Sugita et al., which found LI to be a poorer prognostic factor specifically in adenocarcinoma [19].

4.4. Clinical Implications and Future Directions

The presence of LI should be an integral part of the multidisciplinary treatment approach and considered in treatment planning, regardless of nodal status and disease stage. LI may identify a subset of early-stage N0 NSCLC patients who warrant closer postoperative surveillance and prospective evaluation for adjuvant treatment strategies, mirroring studies such as that by Tsutani et al., which suggested improved survival for high-risk LI-positive patients receiving chemotherapy [20]. However, the current study does not directly demonstrate a survival benefit from adjuvant therapy in LI-positive patients, and validation in prospective cohorts is required before LI can be formally integrated into staging algorithms or treatment guidelines. Furthermore, elucidating the molecular mechanisms of LI, such as the VEGF-C/D/VEGFR-3 axis [21], may contribute to identifying biological targets for this high-risk group.

4.5. Study Limitations

Our study’s retrospective design inherently carries certain limitations. First, consistent recurrence and cause-of-death data were not available across the full 17-year study period, precluding reliable calculation of disease-free survival, recurrence-free survival, or cancer-specific survival—endpoints that would more directly address the biological role of LI and the question of adjuvant therapy benefit. Second, the 17-year study period introduces potential treatment-era heterogeneity, including changes in staging practices, systemic therapy options, and surgical techniques. Although calendar period was included as a covariate in the multivariable model for the entire cohort—and was itself a highly significant prognostic factor (HR: 0.217, p < 0.001)—residual confounding from era-related changes cannot be fully excluded. Third, the limited number of events in the low-risk subgroup (n = 19) results in wide confidence intervals and warrants caution in interpreting the subgroup HR estimate. Fourth, lymphatic invasion was assessed using standard H&E staining without immunohistochemical confirmation (e.g., D2-40/podoplanin), and formal interobserver agreement statistics were not prospectively calculated, which may introduce some variability in LI classification. Measures such as including only patients who underwent R0 anatomical resection were taken to minimise confounding from variations in surgical technique.

5. Conclusions

This study demonstrates that the presence of lymphatic invasion (LI) is a significant and independent adverse prognostic factor for overall survival in resected NSCLC patients. The most critical finding is that LI acts as a powerful, hidden risk factor in the homogeneous subgroup of early-stage (TNM Stage I, N0) patients, in whom LI positivity leads to a substantial divergence in 5-year overall survival (96.1% vs. 83.8%) and independently increases the risk of mortality (multivariable HR = 4.002, 95% CI: 1.567–10.221) after adjustment for standard clinicopathological variables. Furthermore, analysis of adenocarcinoma subtypes revealed that LI exerted a more pronounced prognostic effect in the acinar and solid patterns. LI may identify a subset of early-stage N0 NSCLC patients who warrant closer postoperative surveillance and prospective evaluation for adjuvant treatment strategies. Validation in prospective cohorts is required before LI can be formally integrated into staging algorithms or treatment guidelines.

Author Contributions

Conceptualization, K.B.Ö. and S.E.; Methodology, K.B.Ö.; Formal Analysis, K.B.Ö.; Investigation, P.B. and P.F.; Resources, S.T. and Ş.D.; Data Curation, K.B.Ö., S.E., E.C. and Ö.G.; Writing—Original Draft Preparation, K.B.Ö.; Writing—Review and Editing, S.E., S.T. and Ş.D.; Supervision, S.T. and Ş.D.; Project Administration, Ş.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Institutional Ethics Committee of Koç University (Reference Number: 2025.529.IRB2.251; Date of Approval: 20 November 2025).

Informed Consent Statement

Patient consent was waived due to the retrospective nature of the study and the use of fully anonymised archival data, as approved by the Institutional Review Board.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

During the preparation of this manuscript, the authors used AI-assisted tools solely for the purposes of enhancing language clarity and improving compliance with journal style guidelines. No AI programme was used for pathological image analysis, data collection, or any aspect of the scientific analysis. The authors have reviewed and edited all output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Torre, L.A.; Siegel, R.L.; Jemal, A. Lung cancer statistics. Adv. Exp. Med. Biol. 2016, 893, 1–19. [Google Scholar] [CrossRef] [PubMed]
  2. Madri, J.A.; Carter, D. Scar cancers of the lung: Origin and significance. Hum. Pathol. 1984, 15, 625–631. [Google Scholar] [CrossRef] [PubMed]
  3. Sagawa, M.; Saito, Y.; Takahashi, S.; Usuda, K.; Kamma, K.; Sato, M.; Ota, S.-I.; Nagamoto, N.; Fujimura, S.; Nakada, T.; et al. Clinical and prognostic assessment of patients with resected small peripheral lung cancer lesions. Cancer 1990, 66, 2653–2657. [Google Scholar] [CrossRef] [PubMed]
  4. Igai, H.; Matsuura, N.; Tarumi, S.; Chang, S.S.; Misaki, N.; Ishikawa, S.; Yokomise, H. Prognostic factors in patients after lobectomy for p-T1aN0M0 adenocarcinoma. Eur. J. Cardiothorac. Surg. 2012, 41, 603–606. [Google Scholar] [CrossRef] [PubMed]
  5. Maeda, R.; Yoshida, J.; Ishii, G.; Hishida, T.; Nishimura, M.; Nagai, K. Poor prognostic factors in patients with stage IB non-small cell lung cancer according to the seventh edition TNM classification. Chest 2011, 139, 855–861. [Google Scholar] [CrossRef] [PubMed]
  6. Naito, Y.; Goto, K.; Nagai, K.; Ishii, G.; Nishimura, M.; Yoshida, J.; Hishida, T.; Nishiwaki, Y. Vascular invasion is a strong prognostic factor after complete resection of node-negative nonsmall cell lung cancer. Chest 2010, 138, 1411–1417. [Google Scholar] [CrossRef] [PubMed]
  7. Dicken, B.J.; Graham, K.; Hamilton, S.M.; Andrews, S.; Lai, R.; Listgarten, J.; Jhangri, G.S.; Saunders, L.D.; Damaraju, S.; Cass, C. Lymphovascular invasion is associated with poor survival in gastric cancer: An application of gene-expression and tissue array techniques. Ann. Surg. 2006, 243, 64–73. [Google Scholar] [CrossRef] [PubMed]
  8. Arnaout-Alkarain, A.; Kahn, H.J.; Narod, S.A.; Sun, P.A.; Marks, A.N. Significance of lymph vessel invasion identified by the endothelial lymphatic marker D2-40 in node negative breast cancer. Mod. Pathol. 2007, 20, 183–191. [Google Scholar] [CrossRef] [PubMed]
  9. Kopfstein, L.; Christofori, G. Metastasis: Cell-autonomous mechanisms versus contributions by the tumor microenvironment. Cell. Mol. Life Sci. 2006, 63, 449–468. [Google Scholar] [CrossRef] [PubMed]
  10. Sedlis, A.; Bundy, B.N.; Rotman, M.Z.; Lentz, S.S.; Muderspach, L.I.; Zaino, R.J. A randomized trial of pelvic radiation therapy versus no further therapy in selected patients with stage IB carcinoma of the cervix after radical hysterectomy and pelvic lymphadenectomy. Gynecol. Oncol. 1999, 73, 177–183. [Google Scholar] [CrossRef] [PubMed]
  11. Huang, T.Y.; Hsu, L.P.; Wen, Y.H.; Huang, T.T.; Chou, Y.F.; Lee, C.F.; Yang, M.-C.; Chang, Y.-K.; Chen, P.-R. Predictors of locoregional recurrence in early-stage oral cavity cancer with free surgical margins. Oral Oncol. 2010, 46, 49–55. [Google Scholar] [CrossRef] [PubMed]
  12. Wang, J.; Wang, B.; Zhao, W.; Guo, Y.; Chen, H.; Chu, H.; Liang, X.; Bi, J. Clinical significance and role of lymphatic vessel invasion as a major prognostic implication in non-small cell lung cancer: A meta-analysis. PLoS ONE 2012, 7, e52704. [Google Scholar] [CrossRef] [PubMed]
  13. Motono, N.; Mizoguchi, T.; Ishikawa, M.; Iwai, S.; Iijima, Y.; Uramoto, H. Accurate selection of sublobar resection for small non-small cell lung cancer. Ann. Surg. Oncol. 2025, 32, 811–822. [Google Scholar] [CrossRef] [PubMed]
  14. National Comprehensive Cancer Network (NCCN). NCCN Clinical Practice Guidelines in Oncology: Non-Small Cell Lung Cancer. Version 8. 2025. Available online: https://www.nccn.org (accessed on 15 August 2025).
  15. Tamiya, Y.; Nakai, T.; Suzuki, A.; Mimaki, S.; Tsuchihara, K.; Sato, K.; Yoh, K.; Matsumoto, S.; Zenke, Y.; Nosaki, K.; et al. The impact of tertiary lymphoid structures on clinicopathological, genetic and gene expression characteristics in lung adenocarcinoma. Lung Cancer 2022, 174, 125–132. [Google Scholar] [CrossRef] [PubMed]
  16. Biesinger, M.; Eicken, N.; Varga, A.; Weber, M.; Brndiar, M.; Erd, G.; Errhalt, P.; Hackner, K.; Hintermair, S.; Petter-Puchner, A.; et al. Lymph but not blood vessel invasion is independent prognostic in lung cancer patients treated by VATS-lobectomy and might represent a future upstaging factor for early stages. Cancers 2022, 14, 1893. [Google Scholar] [CrossRef] [PubMed]
  17. Park, C.K.; Oh, I.J.; Kim, Y.C. Role of adjuvant treatment in stage IB non-small cell lung carcinoma. Transl. Lung Cancer Res. 2023, 12, 649–652. [Google Scholar] [CrossRef] [PubMed]
  18. Jeon, H.W.; Kim, Y.D.; Sim, S.B.; Moon, M.H. Prognostic significance using histologic subtype in stage I lung adenocarcinoma. J. Thorac. Dis. 2024, 16, 6760–6769. [Google Scholar] [CrossRef] [PubMed]
  19. Sugita, Y.; Kinoshita, T.; Shima, T.; Sasaki, N.; Uematsu, M.; Shimizu, R.; Harada, M.; Hishima, T.; Horio, H. Lymphatic permeation and vascular invasion should not be integrated as lymphovascular invasion in lung adenocarcinoma. Gen. Thorac. Cardiovasc. Surg. 2021, 69, 1070–1078. [Google Scholar] [CrossRef] [PubMed]
  20. Tsutani, Y.; Imai, K.; Ito, H.; Miyata, Y.; Ikeda, N.; Nakayama, H.; Okada, M. Adjuvant chemotherapy for high-risk pathologic stage I non-small cell lung cancer. Ann. Thorac. Surg. 2022, 113, 1608–1616. [Google Scholar] [CrossRef] [PubMed]
  21. He, M.; He, Q.; Cai, X.; Liu, J.; Deng, H.; Li, F.; Zhong, R.; Lu, Y.; Peng, H.; Wu, X.; et al. Intratumoral tertiary lymphoid structure (TLS) maturation is influenced by draining lymph nodes of lung cancer. J. Immunother. Cancer 2023, 11, e005539. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Representative histological image demonstrating lymphatic invasion (H&E staining). Tumour foci are visible within the lumen of lymphatic vessels located adjacent to the tumour.
Figure 1. Representative histological image demonstrating lymphatic invasion (H&E staining). Tumour foci are visible within the lumen of lymphatic vessels located adjacent to the tumour.
Jcm 15 04582 g001
Figure 2. Overall survival curves based on the presence of lymphatic invasion in the entire cohort (n = 988), with numbers at risk. LI-positive patients demonstrated significantly reduced overall survival compared to LI-negative patients (log-rank p < 0.001).
Figure 2. Overall survival curves based on the presence of lymphatic invasion in the entire cohort (n = 988), with numbers at risk. LI-positive patients demonstrated significantly reduced overall survival compared to LI-negative patients (log-rank p < 0.001).
Jcm 15 04582 g002
Figure 3. Overall survival curves based on the presence of lymphatic invasion in the low-risk subgroup (TNM Stage I, N0, n = 347), with numbers at risk. LI-positive patients demonstrated significantly reduced overall survival compared to LI-negative patients (log-rank p = 0.002).
Figure 3. Overall survival curves based on the presence of lymphatic invasion in the low-risk subgroup (TNM Stage I, N0, n = 347), with numbers at risk. LI-positive patients demonstrated significantly reduced overall survival compared to LI-negative patients (log-rank p = 0.002).
Jcm 15 04582 g003
Table 1. Clinicopathological Characteristics of the Entire Cohort Stratified by Lymphatic Invasion Status.
Table 1. Clinicopathological Characteristics of the Entire Cohort Stratified by Lymphatic Invasion Status.
LI (−) Mean ± SD/nLI (+) Mean ± SD/np-Value
Tumour diameter (mm)26.7 ± 21.533.9 ± 20.0<0.001 *
Nodal Status <0.001 †
N0513226
N160112
N21165
N2a1056
N2b19
N301
Pathological Stage <0.001 †
Stage 080
Stage I407167
Stage II113120
Stage III51104
Stage IV513
LI: lymphatic invasion; *: Student’s t-test; †: Chi-square test.
Table 2. Association of Lymphatic Invasion Status with Main Histological Subtypes of NSCLC.
Table 2. Association of Lymphatic Invasion Status with Main Histological Subtypes of NSCLC.
Histological SubtypeLI (−)LI (+)p-Value
Adenocarcinoma387 (61.9%)238 (38.1%)0.017 *
Squamous cell carcinoma149 (56.9%)113 (43.1%)
Other48 (47.5%)53 (52.5%)
LI: lymphatic invasion; NSCLC: non-small cell lung cancer; *: Chi-square test.
Table 3. Lymphatic Invasion Rates According to Histological Subtypes in the Adenocarcinoma Cohort.
Table 3. Lymphatic Invasion Rates According to Histological Subtypes in the Adenocarcinoma Cohort.
Adenocarcinoma SubtypeLI (−)LI (+)p-Value
Solid58 (46.8%)66 (53.2%)<0.001 *
Acinar140 (57.1%)105 (42.9%)
Micropapillary12 (50.0%)12 (50.0%)
Papillary35 (76.1%)11 (23.9%)
Lepidic50 (80.6%)12 (19.4%)
Mucinous25 (75.8%)8 (24.2%)
LI: lymphatic invasion; *: Chi-square test. Analysis restricted to 534 cases successfully classified into one of the six predominant subtypes. The remaining 91 cases consisted of unclassifiable/rare variants and were excluded from this analysis.
Table 4. Multivariable Cox Proportional Hazards Regression Analysis—Entire Cohort (n = 965).
Table 4. Multivariable Cox Proportional Hazards Regression Analysis—Entire Cohort (n = 965).
VariableHR95% CIp-Value
Lymphatic invasion (positive vs. negative)1.5201.004–2.3010.048
Age (per year)1.0241.004–1.0440.016
Sex (female vs. male)0.4730.283–0.7890.004
Histological type 0.173
Squamous vs. adenocarcinoma1.4640.933–2.2970.098
Other vs. adenocarcinoma1.5090.870–2.6180.143
Tumour diameter (per mm)1.0010.990–1.0110.918
Pathological stage 0.005
Stage II vs. Stage I1.0220.596–1.7520.937
Stage III–IV vs. Stage I2.2431.269–3.9650.005
Extended resection (yes vs. no)0.7340.333–1.6170.443
Calendar period (2015–2023 vs. 2006–2014)0.2170.145–0.326<0.001
HR: hazard ratio; CI: confidence interval.
Table 5. Multivariable Cox Proportional Hazards Regression Analysis—Low-Risk Subgroup (n = 339).
Table 5. Multivariable Cox Proportional Hazards Regression Analysis—Low-Risk Subgroup (n = 339).
VariableHR95% CIp-Value
Lymphatic invasion (positive vs. negative)4.0021.567–10.2210.004
Age (per year)0.9920.938–1.0500.791
Sex (female vs. male)0.6860.236–1.9970.490
Histological type 0.009
Squamous vs. adenocarcinoma4.4651.708–11.6680.002
Other vs. adenocarcinomaN/A *0.986
Tumour diameter (per mm)1.0760.994–1.1650.069
HR: hazard ratio; CI: confidence interval. * The “other histology” category contained 13 patients with no observed events; the HR estimate is unreliable and is not reported.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Özer, K.B.; Erus, S.; Cesur, E.; Güzey, Ö.; Bulutay, P.; Tanju, S.; Fırat, P.; Dilege, Ş. Lymphatic Invasion Acts as a ‘Hidden Risk Factor’: Four-Fold Increased Mortality Risk in Early-Stage (TNM Stage I, N0) Non-Small Cell Lung Cancer. J. Clin. Med. 2026, 15, 4582. https://doi.org/10.3390/jcm15124582

AMA Style

Özer KB, Erus S, Cesur E, Güzey Ö, Bulutay P, Tanju S, Fırat P, Dilege Ş. Lymphatic Invasion Acts as a ‘Hidden Risk Factor’: Four-Fold Increased Mortality Risk in Early-Stage (TNM Stage I, N0) Non-Small Cell Lung Cancer. Journal of Clinical Medicine. 2026; 15(12):4582. https://doi.org/10.3390/jcm15124582

Chicago/Turabian Style

Özer, Kadir Burak, Suat Erus, Ezgi Cesur, Özgür Güzey, Pınar Bulutay, Serhan Tanju, Pınar Fırat, and Şükrü Dilege. 2026. "Lymphatic Invasion Acts as a ‘Hidden Risk Factor’: Four-Fold Increased Mortality Risk in Early-Stage (TNM Stage I, N0) Non-Small Cell Lung Cancer" Journal of Clinical Medicine 15, no. 12: 4582. https://doi.org/10.3390/jcm15124582

APA Style

Özer, K. B., Erus, S., Cesur, E., Güzey, Ö., Bulutay, P., Tanju, S., Fırat, P., & Dilege, Ş. (2026). Lymphatic Invasion Acts as a ‘Hidden Risk Factor’: Four-Fold Increased Mortality Risk in Early-Stage (TNM Stage I, N0) Non-Small Cell Lung Cancer. Journal of Clinical Medicine, 15(12), 4582. https://doi.org/10.3390/jcm15124582

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop