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. Author manuscript; available in PMC: 2020 Sep 22.
Published in final edited form as: Lung Cancer. 2018 Dec 26;128:145–151. doi: 10.1016/j.lungcan.2018.12.026

Factors influencing recurrence following anatomic lung resection for clinical stage I non-small cell lung cancer

Matthew J Schuchert a,*, Daniel P Normolle b, Omar Awais a, Arjun Pennathur a, David O Wilson c, James D Luketich a, Rodney J Landreneau a
PMCID: PMC7507791  NIHMSID: NIHMS1628135  PMID: 30642447

Abstract

Objectives:

Anatomic lung resection provides the best opportunity for long-term survival in the setting of early-stage non-small cell lung cancer (NSCLC). However, 20–30% of patients develop recurrent disease following complete (R0) resection for Stage I disease. In the current study, we analyze the impact of patient, surgical and pathologic variables upon recurrence patterns following anatomic lung resection for clinical stage I NSCLC.

Patients and methods:

A total of 1132 patients (384 segmentectomies, 748 lobectomies) with clinical stage I NSCLC were evaluated. Predictors of recurrence were identified by proportional hazards regression. Differences in recurrence patterns between groups are illustrated by log rank tests applied to Kaplan-Maier estimates.

Results:

A total of 227 recurrences (20.0%) were recorded at a median follow-up of 36.8 months (65 locoregional, 155 distant). There was no significant difference in recurrence patterns when comparing segmentectomy and lobectomy. Multivariate analysis demonstrated that angiolymphatic invasion, tumor size, tumor grade and the presence of only mild-moderate tumor inflammation were independent predictors of recurrence risk.

Conclusions:

Recurrence following anatomic lung resection is influenced predominantly by pathological variables (tumor size, tumor grade, angiolymphatic invasion, tumor inflammation). Optimization of surgical margin in relation to tumor size may improve outcomes. Extent of resection (segmentectomy vs. lobectomy) does not appear to have an impact on recurrence-free survival when adequate margins are obtained.

Keywords: Lobectomy, Multivariate analysis, Recurrence, Segmentectomy, Survival, Wedge resection

1. Introduction

Lung cancer is the most common cause of cancer-related death world-wide, with approximately 1,378,400 deaths reported annually. Deaths due to lung cancer exceed those of breast, prostate, and colorectal carcinoma combined, creating catastrophic health care and economic implications [1,2]. Complete resection, when possible, remains the mainstay of therapy, and affords patients the best chance of long-term survival [3,4]. Not all patients undergoing resection are destined for cure, with recurrence rates in early-stage disease (clinical stage I) ranging from 20 to 40% at five years [5].

Recurrence following “complete resection” for early-stage non-small cell lung cancer remains poorly understood, and is multifactorial in nature. A host of patient, surgical and tumor-specific pathological variables have been shown to contribute to recurrence risk in the setting of resected non-small cell lung cancer. The primary objective of the current analysis was to examine the relative impact of patient, surgical and tumor-related factors on recurrence following resection of clinical stage I NSCLC. We explore whether extent of resection (segmentectomy vs. lobectomy) or surgical margin affect recurrence risk, and elucidate those tumor-specific pathological variables predictive of relapse.

2. Patients and methods

2.1. Patients

Approval for this study was provided by the Institutional Review Board of the University of Pittsburgh, and individual patient consent was waived. We performed a retrospective analysis of 1132 patients who underwent anatomic lung resection (segmentectomy or lobectomy) derived from the Lung Cancer Database of the University of Pittsburgh. Only patients with clinical stage I lung cancer treated by formal anatomic resection (segmentectomy or lobectomy) were included, as defined by the 8th edition of the UICC/AJCC lung cancer staging system [6]. Patient demographics and tumor characteristics are detailed in Table 1.

Table 1.

Patient and Tumor Characteristics.

Anatomic Resection (n = 1,132)
Age
 Mean 68.1 ± 9.6
  Range 22-91
Gender 531 M, 601 F
Co-Morbidities (%)
 Hypertension 48.7
  Coronary Artery Disease 16.0
  Diabetes Mellitus 16.4
  COPD 27.8
  Prior Cancer History 24.0
  Gastroesophageal Reflux 16.1
PFTs (Pre-Op)
 FEV1 (%) 2.05(79.3%)
  DLCO (%) 15.9 (70.0%)
Tumor Size (cm) 2.3 ± 1.0
Clinical Stage 1A-863 (72.6%)
1B-269 (23.8%)
Histology (%)
 Adenocarcinoma 57.9
  Squamous Cell CA 29.2
  Other 12.9
Grade (%)
 Well-Differentiated 12.1
  Moderately-Differentiated 57.4
  Poorly-Differentiated 30.1
Angiolymphatic Invasion (%) 41.5
Visceral Pleural Invasion (%) 27.5
Tumor Inflammation (%)
 Low 57.3
  Moderate 34.9
  Severe 7.7
Operation
 Segmentectomy 384 (33.9%)
  Lobectomy 748 (66.1%)
Approach
 VATS 609 (53.8%)
  Open 522 (46.2%)
# Lymph Nodes Examined
 Median 9
  Range 0-85
# Lymph Node Stations Sampled
 Median 3
  Range 0-9

2.2. Operative technique

Operations performed included 748 lobectomies and 384 anatomic segmentectomies. A VATS approach was utilized in 609 (53.8%) of the patients in this study, with thoracotomy performed in 522 (46.2%) patients. Lobectomy was performed in standard fashion employing a VATS or open approach as described previously [7]. Anatomic segmentectomy is accomplished by the removal of one or more pulmonary parenchymal segments with its corresponding bronchovascular and lymphatic supply [8,9]. In contradistinction to wedge resection (which does not involve anatomic hilar dissection), anatomic segmentectomy is accomplished by individual isolation and division of the targeted segmental bronchial and vascular structures and complete excision of the segmental pedicle.

2.3. Pathologic evaluation

Pathologic information was derived from the published case synoptic for each patient. Pathologic variables evaluated in this analysis include tumor size, tumor histology, grade, as well as the presence of angiolymphatic invasion, visceral pleural invasion or tumor inflammation (graded as mild, moderate or severe).

2.4. Follow-up

Perioperative data were actively collected from the hospital chart, anesthesia and OR records as well as the electronic medical record and/or office charts for each patient. Complications were documented for each patient based upon standard definitions established for the STS General Thoracic Database [10]. All patients were followed post-operatively at two weeks and at 4–6 month intervals for the first two years, then yearly thereafter with CT scans. Perioperative mortality was defined as any patient who died within the first 30 days after surgery or during the same hospitalization. Ninety-day mortality was also calculated. Locoregional recurrence was defined as evidence of tumor within the same lobe, the hilum or the mediastinal lymph nodes. Distant recurrences were defined as evidence of tumor in another lobe, the pleural space, or elsewhere outside the hemithorax. Median follow-up was 36.8 months for the entire cohort.

2.5. Statistical analysis

Student’s t and Wilcoxon tests were used to compare the distributions of continuous data (age, tumor size, number of lymph nodes removed, operative time, estimated blood loss), and Chi-squared or Fisher’s exact test was used to compare the frequencies of categorical measures (sex, histology, stage, etc.) between lobectomies and segmentectomies. All comparisons were two-tailed. Freedom from recurrence was defined as the time from surgery to the first diagnosis of local, regional or distant disease recurrence, or until last-follow-up; death was considered a censoring event for recurrence. Overall survival was defined as the time from surgery to death or last follow-up. Disease-free survival, freedom from recurrence and overall survival functions were estimated by the Kaplan-Meier method. Survival functions were compared by means of the log-rank test.

Multiple variables were evaluated for their association with time to recurrence risk as follows: Patient Variables - age, gender, co-morbidities (Including chronic obstructive pulmonary disease, hypertension, diabetes mellitus, coronary artery disease, gastroesophageal reflux disease, prior history of cancer other than lung cancer) and pulmonary function (FEV1); Surgical Variables – Operation performed (segmentectomy vs. lobectomy), approach (VATS vs. open), surgical margin (defined as the shortest distance from the tumor to the closest staple line), number of lymph nodes sampled, lymph node stations sampled; Tumor Variables – tumor size, tumor location, histology, lymph node involvement, angiolymphatic invasion, visceral pleural invasion and tumor inflammation. Each variable was assessed for their relationship to recurrence in univariate analysis. Variables demonstrating a significant association with recurrence in univariate analysis (p < 0.05) were then analyzed in a forward proportional hazards (Cox) regression model. Corresponding hazard ratios, confidence intervals and p-values for each variable were determined with the SAS software package (SAS Institute Inc., Cary, NC).

3. Results

3.1. Patient and tumor characteristics

Patient and tumor characteristics are depicted in Table 1. The mean patient age was 68.1 years (Range: 22–91). Female:Male ratio was 601:531. The patient cohort had, on average, a moderate degree of pulmonary impairment with a mean FEV1 of 2.05 (79.3% predicted) and a DLCO of 15.9 (70.0% predicted). The clinical stage distribution was Stage1 A-863 (76.2%) and Stage 1B-269 (23.8%). Mean tumor size was 2.3 cm. Anatomic segmentectomy was performed in 384 patients (VATS = 233, Open = 151). The remainder of patients (n = 748) underwent lobectomy (VATS = 376, Open = 371). Non-small cell lung cancer was associated with upper lobe predominance (n = 698, 61.7%), with the majority of cases encountered in the right upper lobe (n = 378, 33.4%). The most common lobar and segmental resections performed were right upper lobectomy (n = 272, 24.0%) and left upper division segmentectomy (n = 98, 25.5%), respectively.

3.2. Morbidity and mortality

Overall morbidity was 40.3%. Anatomic segmentectomy was associated with a reduced incidence of overall complications (32.9% vs. 44.4%, p = 0.001) when compared to lobectomy. Median length of stay was six days in both groups. The 30-day mortality rate for segmentectomy was 1.0%, compared to 1.9% for lobectomy (p = 0.45). The 90-day mortality rates were 3.0% vs. 4.1%, respectively (p = 0.50).

3.3. Analysis of recurrences

At a median follow-up of 36.8 months, there were 220 recurrences (19.4%) documented within the entire cohort– 65 locoregional, 155 distant. Median time to recurrence has not yet been observed. Actuarial estimates of freedom from recurrence and overall survival were 69.9% [95% CI: (66.3%, 73.6%)] and 56.3% [95% CI: (52.8%, 60.2%)] at five years, respectively. Recurrences were more common among tumors located within the left lower lobe following both lobectomy (22.0%) and segmentectomy (31.6%). No differences were noted in either locoregional (5.7% vs. 5.7%, p = 1.00) or distant (14.6% vs. 13.3%, p = 0.57) recurrence rates when comparing segmentectomy with lobectomy. Actuarial estimates of freedom from recurrence similarly demonstrated no difference between groups at five years (70 vs. 68%, p = 0.33). A significant difference was noted in overall survival at five years when comparing segmentectomy and lobectomy (50% vs. 59%, p = 0.02) due to a higher rate of non-cancer-related death among patients in the segmentectomy group (Table 2).

Table 2.

Recurrence and Survival Patterns by Operation Performed.

Segmentectomy (n = 384) Lobectomy (n = 748) p-value
Recurrences
 Overall (n) 78 (20.3%) 142 (19.0%) 0.63
 Locoregional (n) 22 (5.7%) 43 (5.7%) 0.89
 Distant (n) 56 (14.6%) 99 (13.2%) 0.52
Freedom from Recurrence (5 yr) 69.4% 70.2% 0.85
 95% Confidence Interval (63.4%,76.1%) (65.9%,74.8%)
Overall Survival (5 yr) 49.9% 59.4% 0.02
 95% Confidence Interval (43.7%,57.1%) (55.1%,63.9%)
 Median Follow-Up (months) 34.2 38.8 < 0.01

Median follow-up for recurrences is 36.8 months. Estimates and confidence intervals for five-year overall survival and freedom from recurrence are calculated from Kaplan-Meier survival function estimates. P-value for comparing these estimates between segmentectomy and lobectomy are calculated from a χ2 test based on the complementary log-log transformed survival estimates.

3.4. Predictors of recurrence

The first proportional hazards model, on patient variables, demonstrated that none of the patient variables were associated with an increased risk of recurrence. Among the surgical variables, only length of surgical margin was associated with recurrence risk. In univariate analysis, significant tumor variables included tumor size, tumor grade, lymph node involvement, angiolymphatic invasion and tumor inflammation (Table 3). The variables significant in the univariate analysis were combined in a multiple regression model. Tumor size, tumor grade, angiolymphatic invasion and tumor inflammation were all statistically significant predictors of time to recurrence (Table 4, Fig. 1).

Table 3.

Univariate Proportional Hazards Regressions for Time to Recurrence.

Hazard Ratio (95% Confidence Interval) (p-value)
Patient Variables
Age 1.00 (0.99,1.02) 0.62
Sex 1.14 (0.88,1.48) 0.33
Co-Morbidities
 COPD 1.20 (0.90,1.60) 0.22
 Hypertension 1.19 (0.92,1.55) 0.19
 Diabetes Mellitus 1.17 (0.82,1.67) 0.39
 Coronary Artery disease 1.40 (0.98,2.00) 0.06
 GERD 0.80 (0.55,1.18) 0.26
 Prior Cancer History 1.22 (0.91,1.65) 0.19
Pulmonary Function (FEV1) 1.00 (0.99,1.00) 0.23
Pre-Surgical Variables
Segmentectomy 1.14 (0.87,1.50) 0.34
VATS 0.83 (0.64,1.08) 0.16
Clinical Stage 1B 1.41 (1.06,1.89) 0.02
Location 0.26
 Right Upper 1
 Right Middle 0.68 (0.36,1.28)
 Right Lower 0.93 (0.63,1.35)
 Left Upper 0.76 (0.54,1.07)
 Left Lower 1.13 (0.77,1.67)
Tumor Variables
Tumor Size > 2cm 1.25 (1.10,1.42) < 0.001*
Margin:Tumor Ratio > 1 1.49 (1.07,2.08) 0.02*
Surgical Margin (mm) 0.99 (0.98,0.99) 0.05*
# Lymph Nodes Examined 0.99 (0.99,1.00) 0.65
# Lymph Node Stations 0.96 (0.88,1.04) 0.30
Histology 0.62
 Adenocarcinoma 1
 Squamous Cell 1.16 (0.86,1.55)
 Large Cell 0.94 (0.44,2.01)
 Adenosquamous 1.46 (0.79,2.70)
 Small Cell 0.93 (0.23,3.74)
 Carcinoid 0.32 (0.05,2.30)
 Other 0.88 (0.36,2.16)
Lymph Node Involvement 1.60 (1.07,2.40) 0.02*
Angiolymphatic Invasion 1.71 (1.31,2.22) < 0.001*
Visceral Pleural Invasion 1.38 (1.05,1.82) 0.02*
Tumor Inflammation 0.47 (0.25,0.88) 0.02*
Grade (Poor or Undifferentiated) 1.48 (1.13,1.94) 0.005*

Table 4.

Multivariate Proportional Hazards Regression for Time to Recurrence.

Hazard Ratio (95% Confidence Interval)
Tumor Size > 2 cm 1.39 (1.03, 1.87)
Angiolymphatic Invasion 1.55 (1.18, 2.03)
Tumor Inflammation (mild-mod) 2.19 (1.16, 4.17)
Grade: Poor, Undifferentiated 1.37 (1.03,1.82)
Number of Above Risk Factors:
 0 1
 1 1.66 (0.59,4.67)
 2 2.55 (0.93,6.96)
 3 3.73 (1.36,10.22)
 4 5.20 (1.85,14.56)

Fig. 1.

Fig. 1.

Independent predictors of recurrence in clinical stage I non-small cell lung cancer. A.) Angiolymphatic Invasion, B.) Tumor size, C.) Tumor Inflammation, D.) Tumor Grade.

3.5. Clinical impact of predictors

Based on the results of the multivariate analysis, we constructed a high-risk profile accounting for the significant predictors (angiolymphatic invasion, tumor size > 2 cm, tumor grade and mild-moderate tumor inflammation) by counting the number of factors each patient expressed. The presence of increasing numbers of factors was associated with a significant, step-wise increase in recurrence risk (p < 0.0045, Fig. 2, Table 4). Extent of resection (segmentectomy vs. lobectomy) was again not found to be a significant predictor of recurrence in a proportional hazards model once the high-risk variables were taken into account (p = 0.33).

Fig. 2.

Fig. 2.

A.) Time to recurrence for high risk patients 3 or 4 of the independent predictors (high risk) compared to those with < 3 predictors (Low-Moderate risk).

3.6. Tumor size and surgical margin

Among all patients with clinical stage I disease, margin data were available in 936 (82.6%) patients, with 186 documented recurrences. Whereas 44.6% of these recurrences had a surgical margin < 1 cm, 68.6% of these patients were found to have a surgical margin:tumor size ratio < 1, suggesting that a ratio of margin:tumor size may be a better indicator of recurrence risk when performing sublobar resection. When analyzing all patients with clinical stage I NSCLC, a margin:tumor ratio of < 1 was associated with a recurrence rate of 22.4%, compared with 16.6% in cases where the margin: tumor ratio was ≥ 1 (p = 0.007). A smaller margin:tumor cut-off of 0.5 was associated with an increased disparity in recurrence risk between patients with a margin:tumor size ratio < 0.5 and those with a ratio of ≥ 0.5 (26.2% vs. 16.6%, p = 0.003). A larger ratio cut-off of 2 did not lead to a significant further reduction in recurrence risk (15.4%, p = 0.14). margin:tumor diameter ratio < 1 was found to be a significant independent predictor of recurrence following resection of clinical Stage I non-small cell lung cancer (Hazard Ratio: 1.57, 95% CI: 1.10, 2.24; p = 0.014). Interestingly, in cases where the margin:tumor ration was < 1, there were no differences in recurrence rates noted between segmentectomy and lobectomy (21.0% vs. 21.5%, respectively; p = 0.92). This finding is corroborated by proportional hazards regression, which similarly demonstrated no significant effect on recurrence based on type of operation performed (Segmentectomy HR = 1.14 (0.87, 1.50, p = 0.34, Table).

4. Discussion

The successful management of early-stage non-small cell lung cancer depends upon a multitude of factors including host anatomy and physiology, the technical ability to achieve complete surgical extirpation of the tumor (R0 resection), as well as underlying tumor biology. Interactions between these factors are complex and frequently unpredictable, and, despite our best efforts, up to 30% of patients with “completely-resected” stage I disease will recur. The most commonly accepted predictors of recurrence and death include the tumor size, nodal involvement and metastasis descriptors employed in the AJCC/UICC International TNM staging system for lung cancer [6]. In the current multivariate analysis, tumor size > 2 cm was again confirmed to be an important predictor of recurrence following resection of clinical stage I non-small cell lung cancer (Table 4, Fig. 1).

Despite complete resection with adequate margins, certain tumors can exhibit biology that increases the likelihood of disease recurrence. Visceral pleural invasion is a recognized prognostic factor in NSCLC, serving to upstage tumors < 3 cm in size. Visceral pleural invasion is the only pathologic variable employed beyond the traditional TNM descriptors, and is associated with increased risk of recurrence and death. Interestingly, in our multivariate analysis visceral pleural invasion was not found to a statistically significant predictor of adverse outcomes (p = 0.46) in this study. Angiolymphatic invasion has also been identified as an important prognostic determinant in many solid tumors including breast [11], colon [12], as well as head and neck [13] cancers. Macchiarini and associates were among the first to demonstrate that blood vessel invasion was an adverse prognostic factor in T1N0 tumors that was associated with increased recurrence risk, especially the development of distant metastases [14]. Several recent studies, however, have suggested that angiolymphatic invasion may represent an important adverse prognostic factor in patients undergoing resection for early-stage lung cancer [15,16], with reduction in recurrence-free and overall survival [17,18]. In the current study, angiolymphatic invasion was again demonstrated as a statistically significant risk factor for the development of recurrent disease in clinical stage I non-small cell lung cancer

In addition to tumor size and angiolymphatic invasion, tumor grade was also identified as an independent predictor of recurrence in this analysis. Though not traditionally recognized by the current staging system for lung cancer, tumor grade has been shown to be an important factor in lung cancer disease recurrence in prior studies whether based on degree of differentiation or mitotic count [19,20]. In the current analysis, poorly-differentiated or undifferentiated tumors were found to be associated with increased recurrence risk when adjusting for other significant clinical and pathological variables (Table 4, Fig. 1).

The presence of a tumor-associated inflammatory infiltrate has been reported as a potentially important prognostic finding in several tumors – including colorectal [21] and esophageal cancer [22]. T cell subsets (CD8+ and CD4+) in particular are felt to represent important constituents of this infiltrate, and have been associated with improved survival [23]. Suppression of inflammatory responses within tumors has been postulated to have an adverse impact on outcomes [24]. Such immune dysregulation may play a particularly important role in the earliest stages of disease [25]. Currently, there is little data evaluating the prognostic impact of tumor-infiltrating lymphocytes in lung cancer. In a study of 219 patients undergoing lobectomy for stage I NSCLC, the presence of moderate-severe tumor inflammatory reaction was associated with reduced risk of recurrence and death in tumors ≥ 5 cm [26]. In the present study examining 1192 cases, increasing degrees of inflammatory reaction correlated with decreased recurrence. Similar to angiolymphatic invasion and increased grade, reduced tumor inflammation was found to be a significant independent predictor of recurrence risk (Table 4, Fig. 1).

The extent of surgical margin was also found to be an important predictor of recurrence in clinical stage I NSCLC. Though this concept makes intuitive sense, what constitutes an adequate margin during anatomic lung resection remains unresolved. Previous recommendations have implied that 1.5–2 cm margins might suffice [27,28]. Some authors have advocated tailoring the surgical margin to the underlying pathologic subtype (1.5 cm for squamous cell carcinoma and 2.0 cm for adenocarcinoma) based upon a differential propensity for peribronchial and submucosal spread [29]. El-Sherif and associates demonstrated that tumor margins ≥ 1 cm were associated with a significantly lower recurrence rate, when compared to margins < 1 cm (8 vs. 19%, p = 0.003) [30]. Sawabata and associates suggested that maintaining margin distance should be greater than the maximum diameter of the tumor (margin:tumor ratio > 1) in an effort to minimize the risk of locoregional recurrence [31]. Schuchert and associates demonstrated that a margin:tumor ratio of less than 1 was associated with a significant increase in recurrence rates compared to ratios ≥1 (25.0% vs. 6.2%; p = 0.0014) [32]. In this updated analysis, surgical margin:tumor diameter ratio > 1 was associated with a significant reduction in the hazard ratio (0.65, p = 0.014). The distance from the tumor to the closest staple line should be assessed at the time of surgery. If the final surgical margin is deemed inadequate following segmentectomy, lobectomy should be performed.

Importantly, extent of resection itself (segmentectomy vs. lobectomy) was not identified as a significant predictor of outcomes in patients with clinical stage I NSCLC. We found no significant difference in risk of locoregional or distant recurrence when comparing the lobectomy and segmentectomy groups (Table 2). This is in accord with a propensity-matched comparison (n = 312 patients per group) of segmentectomy vs. lobectomy in patients with clinical stage I non-small cell lung cancer, which revealed no statistically significant difference in recurrence risk or overall survival [33]. Though not specifically addressed in the current analysis, we and others have previously shown that sublobar wedge resection techniques may be associated with increased locoregional recurrence risk when compared to anatomic segmentectomy techniques (segmentectomy and lobectomy) [5,30,34]. Interestingly, increasing surgical margin does not appear to reduce the risk of locoregional or distant recurrence in this subgroup [34]. These differences seem to disappear for tumors < 1 cm [35]. On the basis of this information, we would recommend anatomic segmentectomy or lobectomy techniques for tumors > 1 cm in size with appropriate attention to surgical margin. Tumors less than 1 cm in size can be adequately managed by wedge resection or segmentectomy, while again ensuring an adequate surgical margin.

Limitations of this study include its retrospective nature, and the inherent introduction of bias in patient selection and surgical approach associated with retrospective analyses. Another potential limitation of the study is the classification of pathological variables based on subjective pathological assessment. Each of the studied variables represent required elements of the pathology synoptic published for each case. Though standard definitions are employed for each discrete variable, the possibility of pathologic sampling error and inter-observer variability exists. These findings will need to be further validated by larger datasets and/or prospective studies.

In conclusion, recurrence in clinical stage I non-small cell lung cancer is predominantly dictated by bad tumor biology (increased tumor size, increased grade, angiolymphatic invasion, decreased tumor inflammation). Complete surgical resection with careful attention to surgical margins is required to optimize outcomes. Extent of anatomic resection (segmentectomy vs. lobectomy) does not appear to impact upon risk of recurrence for clinical stage IA disease. A margin:tumor ratio < 1, angiolymphatic invasion, and decreased tumor inflammation are all statistically significant predictors of recurrence in this setting. These data have implications regarding the potential merits of adjuvant therapy in stage I non-small cell lung cancer. Correlation of these clinical and pathological variables with genetic and proteomic profiles will further our understanding of the molecular mechanisms involved in lung cancer recurrence, and can serve as the basis for future prospective, clinical trials.

Acknowledgements

The authors wish to acknowledge the important contribution of Peg Reamer and Judy Forster in clinical trial enrollment. We would also like to recognize Althea Schneider of the Thoracic Surgery Tumor Registry for her assistance in database management and analysis. Dr. Normolle’s work on this project was supported by NIH/NCI P50 CA090440-11.

Funding support

Dr. Normolle’s work on this project was supported by NIH/NCIP50 CA090440-11.

Abbreviations:

VATS

video-assisted thoracic surgery

NSCLC

non-small cell lung cancer

PFTs

pulmonary function tests

FEV1

forced expiratory volume in one second

DLCO

lung diffusion capacity for carbon monoxide

CT

computed tomography

PET

positron emission tomography

COPD

chronic obstructive pulmonary disease

CA

carcinoma

Footnotes

Disclosure statement

The authors have nothing to disclose in relation to the content of this manuscript.

Conflict of interest statement

The authors have no conflict of interest in relation to the content of this manuscript.

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