Prognosis of Stage II non-small cell lung cancer according to tumor and nodal status at diagnosis

Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT

As a disease with high morbidity and high mortality, lung cancer has seriously harmed people's health. Therefore, early diagnosis and treatment are more important. PET/CT is usually used to obtain the early diagnosis, staging, and curative effect evaluation of tumors, especially lung cancer, due to the heterogeneity of tumors and the differences in artificial image interpretation and other reasons, it also fails to entirely reflect the real situation of tumors. Artificial intelligence (AI) has been applied to all aspects of life. Machine learning (ML) is one of the important ways to realize AI. With the help of the ML method used by PET/CT imaging technology, there are many studies in the diagnosis and treatment of lung cancer. This article summarizes the application progress of ML based on PET/CT in lung cancer, in order to better serve the clinical. In this study, we searched PubMed using machine learning, lung cancer, and PET/CT as keywords to find relevant articles in the past 5 years or more. We found that PET/CT-based ML approaches have achieved significant results in the detection, delineation, classification of pathology, molecular subtyping, staging, and response assessment with survival and prognosis of lung cancer, which can provide clinicians a powerful tool to support and assist in critical daily clinical decisions. However, ML has some shortcomings such as slightly poor repeatability and reliability.

Real-world study of disease-free survival & patient characteristics associated with disease-free survival in early-stage non-small cell lung cancer: A retrospective observational study

INTRODUCTION/ BACKGROUND

Surgical resection remains standard of care for patients with early-stage non-small cell lung cancer (NSCLC), but research shows that adjuvant therapy can reduce the risk of disease recurrence. Our objective was to characterize disease-free survival (DFS) using real-world data.

MATERIALS AND METHODS

This was a retrospective study using the COTA real-world database derived from electronic health records in the United States (US). Adults diagnosed with stage IB-IIIA NSCLC from 2013 to 2018 who underwent complete surgical resection (index date) for NSCLC were included. DFS was analyzed using the Kaplan-Meier method. A multivariable Cox-Proportional Hazard (PH) model stratified by year of diagnosis was developed to evaluate covariates associated with DFS.

RESULTS

703 patients met the study criteria (mean age 66.2 years, female (56%), White (82%), and median follow-up time was 37.4 months from index date. Approximately 48% of patients experienced recurrence or death with a median DFS of 42.9 months (95% CI: 37.4-52.2). Patients who received adjuvant therapy, neoadjuvant and adjuvant therapy, neoadjuvant therapy, and surgery only experienced a median DFS of 43.7, 32.3, 33.7, and 49.4 months, respectively. After adjustment, stage at diagnosis and adjuvant therapy status were significantly associated with DFS events.

CONCLUSIONS

Higher stage at diagnosis and lack of adjuvant therapy were associated with greater risk of recurrence. Future research should focus on the adoption and effect of adjuvant/ neoadjuvant therapies on disease recurrence, including in patients with oncogenic driver mutations.

Prognostic role of baseline 18F-FDG pet/CT in stage I and stage ii non-small cell lung cancer

OBJECTIVE

investigate the prognostic role of baseline ¹⁸F-FDG PET/CT in stage I-II NSCLC.

MATERIAL AND METHODS

296 patients were included. Clinicopathological features and PET/CT semiquantitative parameters [standardized uptake value (SUV) body weight max (SUVmax), SUV body weight mean (SUVmean), SUV lean body mass (SUVlbm), SUV body surface area (SUVbsa), metabolic tumor volume (MTV), total lesion glycolysis (TLG), ratio SUVmax/liver (S-L) and ratio SUVmax/blood-pool (S-BP) were extracted]. Anova and Kruskall-Wallis tests were used to assess the relationship between these parameters. Kaplan-Meier, univariate and multivariate analysis were performed to search independent prognostic factors for progression free (PFS), overall survival (OS) and disease specific survival (DSS).

RESULTS

Correlation between PET/CT semiquantitative parameters and histology, stage, size, grading and presence of nodal metastasis were reported. Mean PFS was 28.1 months, relapse/progression of disease occurred in 85 patients (28.7%). Mean OS was 33.3 months, death occurred in 43 patients (14.5%); specific death by NSCLC occurred in 26 subjects (8.8%). Kaplan-Meier analyses revealed most of semiquantitative parameters as predictive for PFS, OS and DSS. For DSS, this was confirmed when dividing between patients with surgery and surgery with other therapies. SUVmax, SUVmean, SUVlbm, SUVbsa and S-L revealed to be independent prognosticators for OS and DSS. S-BP was an independent prognosticator for DSS. SUVmax, SUVmean, SUVlbm, S-L and S-BP were confirmed as independent prognosticators for DSS in the group of patients treated with surgery and subsequent adjuvant therapy.

CONCLUSION

Baseline ¹⁸F-FDG PET/CT semiquantitative parameters are confirmed as prognostic tools for stage I-II NSCLC, in particular for DSS.

Role of Radiomics Features and Machine Learning for the Histological Classification of Stage I and Stage II NSCLC at [18F]FDG PET/CT: A Comparison between Two PET/CT Scanners

The aim of this study was to compare two different PET/CT tomographs for the evaluation of the role of radiomics features (RaF) and machine learning (ML) in the prediction of the histological classification of stage I and II non-small-cell lung cancer (NSCLC) at baseline [18F]FDG PET/CT. A total of 227 patients were retrospectively included and, after volumetric segmentation, RaF were extracted. All of the features were tested for significant differences between the two scanners and considering both the scanners together, and their performances in predicting the histology of NSCLC were analyzed by testing of different ML approaches: Logistic Regressor (LR), k-Nearest Neighbors (kNN), Decision Tree (DT) and Random Forest (RF). In general, the models with best performances for all the scanners were kNN and LR and moreover the kNN model had better performances compared to the other. The impact of the PET/CT scanner used for the acquisition of the scans on the performances of RaF was evident: mean area under the curve (AUC) values for scanner 2 were lower compared to scanner 1 and both the scanner considered together. In conclusion, our study enabled the selection of some [18F]FDG PET/CT RaF and ML models that are able to predict with good performances the histological subtype of NSCLC. Furthermore, the type of PET/CT scanner may influence these performances.

Squamous cell carcinoma predicts worse prognosis than adenocarcinoma in stage IA lung cancer patients: A population-based propensity score matching analysis

Background

Although numerous studies have reported the association between histological types and the prognosis of IA non-small-cell lung cancer (NSCLC) patients, few studies have deeply investigated the impact of pathology on the outcome of NSCLC patients. In this study, we comprehensively explored whether the type of histology influenced the outcome of IA-stage NSCLC patients.

Methods

The study population was obtained from the Surveillance, Epidemiology, and End Results (SEER) program, which is supported by the National Cancer Institute of the United States. To avoid potential bias, the method of propensity score matching (PSM) was used to obtain a balanced cohort for further analysis.

Results

The results from univariate and multivariate regression models showed that lung squamous cell carcinoma (LSQCC) patients were at a significantly greater risk of undergoing shorter overall survival (OS) and lung cancer–specific survival (LCSS). After PSM analysis, LSQCC was still closely associated with a reduction in OS and LCSS. All of these suggested that the histological type was an independent prognostic factor for OS and LCSS.

Conclusion

Our study demonstrated that squamous cell carcinoma predicted worse OS and LCSS in IA-stage NSCLC patients compared with lung adenocarcinoma (LUAD). We suggest that the outcomes of LSQCC and LUAD are very different and that the two histological types should be differently analyzed.

On the issue of diagnostic value of determining the level of receptors and their ligands in blood in non-small cell lung cancer

Non-small cell lung cancer (NSCLC) occupies the first place in the structure of mortality due to oncological diseases. Late diagnosis worsens the effectiveness of its treatment. There are no informative biomarkers that allow us to judge the prevalence of the tumor process, especially in the early stages of NSCLC. To determine the level of CXCL5, CXCL8, CXCR1 and CXCR2 in the peripheral blood of patients with NSCLC to assess the possibility of their use in the diagnosis of the disease. The material was the blood of 218 patients with NSCLC, 19 patients with lung hamartoma and 42 healthy people. The concentration of CXCL5, CXCL8, and SCC in blood serum was determined by enzyme immunoassay, the CYFRA 21-1 level was determined by immunochemiluminescence analysis. The proportion of leukocytes equipped with CXCR1 and CXCR2 receptors and the fluorescence intensity of receptor complexes with antibodies (MFI) in them were measured by flow cytometry. MFI CXCR1 in granulocytes and the proportion of lymphocytes supplied CXCR2, increased in the blood already at stage I of NSCLC and showed an even more significant increase in subsequent stages. The level of these indicators was correlatively related to the stages and characteristics of NSCLC. Measuring the level of MFI CXCR1 in the blood serum makes it possible to diagnose the early stages of NSCLC with a sensitivity of 87.4% (specificity - 73.8%). Determination of the proportion of lymphocytes equipped with CXCR2 demonstrates comparable diagnostic sensitivity (87.2%) and specificity of 66.7% in the detection of stages I-II of NSCLC. MFI CXCR1 in granulocytes can also be used to differentiate stages I and II of NSCLC (diagnostic sensitivity - 75,3%, specificity - 69,6%). The sensitivity of determining for this purpose the proportion of lymphocytes equipped with CXCR2 is 75.0% with a specificity of 71.7%. In 89.7% of patients with stages III-IV NSCLC, the MFI CXCR1 in granulocytes exceeds the threshold value of 47.8 (specificity - 74.8%). Diagnostic sensitivity of determining the proportion of lymphocytes for this purpose was 90.7%.

Multimodal analysis suggests differential immuno-metabolic crosstalk in lung squamous cell carcinoma and adenocarcinoma

Immunometabolism within the tumor microenvironment is an appealing target for precision therapy approaches in lung cancer. Interestingly, obesity confers an improved response to immune checkpoint inhibition in non-small cell lung cancer (NSCLC), suggesting intriguing relationships between systemic metabolism and the immunometabolic environment in lung tumors. We hypothesized that visceral fat and ¹⁸F-Fluorodeoxyglucose uptake influenced the tumor immunometabolic environment and that these bidirectional relationships differ in NSCLC subtypes, lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). By integrating ¹⁸F-FDG PET/CT imaging, bulk and single-cell RNA-sequencing, and histology, we observed that LUSC had a greater dependence on glucose than LUAD. In LUAD tumors with high glucose uptake, glutaminase was downregulated, suggesting a tradeoff between glucose and glutamine metabolism, while in LUSC tumors with high glucose uptake, genes related to fatty acid and amino acid metabolism were also increased. We found that tumor-infiltrating T cells had the highest expression of glutaminase, ribosomal protein 37, and cystathionine gamma-lyase in NSCLC, highlighting the metabolic flexibility of this cell type. Further, we demonstrate that visceral adiposity, but not body mass index (BMI), was positively associated with tumor glucose uptake in LUAD and that patients with high BMI had favorable prognostic transcriptional profiles, while tumors of patients with high visceral fat had poor prognostic gene expression. We posit that metabolic adjunct therapy may be more successful in LUSC rather than LUAD due to LUAD's metabolic flexibility and that visceral adiposity, not BMI alone, should be considered when developing precision medicine approaches for the treatment of NSCLC.

The Prognostic Significance of the Histological Types in Patients With Nonsmall Cell Lung Cancer ≤2 cm

Background: Few studies attempt to investigate the impact of histology on the outcome of nonsmall-cell lung cancer (NSCLC) patients. In this study, we aim to determine whether the type of histology influenced the outcome of stage IA NSCLC patients with tumor size (TS) ≤20 mm. Methods: The data of the population in our study was collected from the Surveillance, Epidemiology, and End Results (SEER) program, which is supported by the National Cancer Institute of the United States. The primary outcome was overall survival (OS). Cox-regression proportional hazards models were performed to identify prognostic factors for OS. The secondary outcome was lung cancer-specific mortality (LCSM). A competing risk model was used to identify risk factors associated with LCSM. Results: A total of 4,424 eligible patients (T1a-bN0M0) who received sublobar resection [wedge resection (WR) and segmentectomy] were identified and included in the study for further analysis. For patients with TS ≤ 10 mm, multivariate Cox-regression analyses for OS showed that lung squamous cell carcinoma (LUSC) yielded poorer OS compared with lung adenocarcinoma (LUAD), and no difference was observed between LUSC and LUAD for LCSM in competing risk models. For patients with TS > 10 and ≤20 mm, multivariate analyses revealed that LUSC patients experienced poorer OS compared with that of LUAD; the univariate competing risk analysis indicated SCC pathology predicted an increased risk of death from lung cancer, whereas no difference is observed in the multivariate competing analysis. In addition, segmentectomy was associated with longer OS in patients with >10 and ≤20 mm but not in patients with ≤10 mm compared with WR. Conclusion: Our study demonstrated that squamous pathology was associated with the worse OS but not LCSM for patients with ≤20 mm compared with adenocarcinoma. Moreover, segmentectomy when compared to wedge resection appears to be associated with a better prognosis in patients with neoplasm >10 mm, but not in the case of nodule ≤10 mm.

A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer

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Poster presentation at the USCAP 108th Annual Meeting, March 16–21, 2019.

Background

We developed and validated a prognostic and predictive computational pathology risk score (CoRiS) using H&E stained tissue images from patients with early-stage non-small cell lung cancer (ES-NSCLC).

Methods

1330 patients with ES-NSCLC were acquired from 3 independent sources and divided into four cohorts D_1-4. D₁ comprised 100 surgery treated patients and was used to identify prognostic features via an elastic-net Cox model to predict overall and disease-free survival. CoRiS was constructed using the Cox model coefficients for the top features. The prognostic performance of CoRiS was evaluated on D₂ (N=331), D₃ (N=657) and D₄ (N=242). Patients from D₂ and D₃ which comprised surgery + chemotherapy were used to validate CoRiS as predictive of added benefit to adjuvant chemotherapy (ACT) by comparing survival between different CoRiS defined risk groups.

Findings

CoRiS was found to be prognostic on univariable analysis, D₂ (hazard ratio (HR) = 1.41, adjusted (adj.) P = .01) and D₃ (HR = 1.35, adj. P < .001). Multivariable analysis showed CoRiS was independently prognostic, D₂ (HR = 1.41, adj. P < .001) and D₃ (HR = 1.35, adj. P < .001), after adjusting for clinico-pathologic factors. CoRiS was also able to identify high-risk patients who derived survival benefit from ACT D₂ (HR = 0.42, adj. P = .006) and D₃ (HR = 0.46, adj. P = .08).

Interpretation

CoRiS is a tissue non-destructive, quantitative and low-cost tool that could potentially help guide management of ES-NSCLC patients.

The comparison between adenocarcinoma and squamous cell carcinoma in lung cancer patients

BACKGROUND

There are several studies comparing the difference between adenocarcinoma (AC) and squamous cell carcinoma (SqCC) of lung cancer. However, seldom studies compare the different overall survival (OS) between AC and SqCC at same clinical or pathological stage. The aim of the study was to investigate the 5-year OS between AC and SqCC groups.

METHODS

Data were obtained from the Taiwan Society of Cancer Registry. There were 48,296 non-small cell lung cancer (NSCLC) patients analyzed between 2009 and 2014 in this retrospective study. We analyzed both the AC and SqCC groups by age, gender, smoking status, Charlson co-morbidity index (CCI) score, clinical TNM stage, pathological stage, tumor location, histologic grade, pleura invasion, performance status, treatment, stage-specific 5-year OS rate in each clinical stage I-IV and causes of death. We used propensity score matching to reduce the bias.

RESULTS

The AC and SqCC groups are significantly different in age, gender, smoking status, CCI score, clinical TNM stage, pathological stage, tumor location, histologic grade, pleura invasion, performance status, treatment, stage-specific 5-year OS rate in each clinical stage and causes of death (p < 0.0001). The stage-specific 5-year OS rates between AC and SqCC were 79% vs. 47% in stage I; 50% vs. 32% in stage II; 27% vs. 13% in stage III; 6% vs. 2% in stage IV, respectively (all p values < 0.0001).

CONCLUSIONS

AC and SqCC have significantly different outcomes in lung cancer. We suggest that these two different cancers should be analyzed separately to provide more precise outcomes in the future.

Stereotactic body radiotherapy for primary non-small cell lung cancer patients with clinical T3-4N0M0 (UICC 8th edition): outcomes and patterns of failure

The evidence for stereotactic body radiotherapy (SBRT) is meagre for patients with clinical T3-4N0M0 non-small cell lung cancer (8th Edition of the Union for International Cancer Control (UICC)). This study retrospectively investigated clinical outcomes following SBRT for such patients. Among consecutive patients treated with SBRT, patients staged as cT3-4N0M0 by all criteria were examined, most of whom were unsuitable to chemoradiotherapy due to their fragile characters. Clinical outcomes were evaluated and factors associated with outcomes were investigated. Between 2005 and 2017, 70 eligible patients (T3: 58, T4: 12; median age 81 (63-93) years) were identified. Median follow-up duration was 28.6 (1.0-142.5) months. No adjuvant chemotherapy was administered. The 3-year local recurrence rates were 15.8% and 16.7% in T3 and T4 patients, respectively, and they were significantly lower in the high-dose group (3.1% vs 28.6%, P < 0.01). Multivariate analyses showed that the dose-volumetric factor was the significant factor for local recurrence. The 3-year regional and distant metastasis rates, cancer-specific mortality, and overall survival in T3 and T4 patients were 22.7% and 25.0%, 26.5% and 33.3%, 32.2% and 41.7%, and 39.5% and 41.7%, respectively. Only age was correlated with overall survival. Radiation pneumonitis ≥grade 3 and fatal hemoptysis occurred in 3 and 1 patients, respectively. SBRT for cT3-4N0M0 lung cancer patients achieved good local control. Survival was rather good considering that patients were usually frail, staged with clinical staging, and were not given adjuvant chemotherapy, and it may be comparable to surgery. To validate these outcomes following SBRT, a prospective study is warranted.

A bronchial-airway gene-expression classifier to improve the diagnosis of lung cancer: Clinical outcomes and cost-effectiveness analysis

Bronchoscopy is the safest procedure for lung cancer diagnosis when an invasive evaluation is required after imaging procedures. However, its sensitivity is relatively low, especially for small and peripheral lesions. We assessed benefits and costs of introducing a bronchial gene-expression classifier (BGC) to improve the performance of bronchoscopy and the overall diagnostic process for early detection of lung cancer. We used discrete-event simulation to compare clinical and economic outcomes of two different strategies with the standard practice in former and current smokers with indeterminate nodules: (i) location-based strategy-integrated the BGC to the bronchoscopy indication; (ii) simplified strategy-extended use of bronchoscopy plus BGC also on small and peripheral lesions. Outcomes modeled were rate of invasive procedures, quality-adjusted-life-years (QALYs), costs and incremental cost-effectiveness ratios. Compared to the standard practice, the location-based strategy (i) reduced absolute rate of invasive procedures by 3.3% without increasing costs at the current BGC market price. It resulted in savings when the BGC price was less than $3,000. The simplified strategy (ii) reduced absolute rate of invasive procedures by 10% and improved quality-adjusted life expectancy, producing an incremental cost-effectiveness ratio of $10,109 per QALY. In patients with indeterminate nodules, both BGC strategies reduced unnecessary invasive procedures at high risk of adverse events. Moreover, compared to the standard practice, the simplified use of BGC for central and peripheral lesions resulted in larger QALYs gains at acceptable cost. The location-based is cost-saving if the price of classifier declines.

Prognostic and predictive biomarkers post curative intent therapy

Large-scale screening trials have demonstrated that early diagnosis of lung cancer results in a significant reduction in lung cancer mortality. Despite improvements in detecting more lung cancers at early stages, the 5-year survival rates of lung cancers diagnosed before widespread disease is only 30-50%. High rates of recurrence, despite early diagnosis, suggest the need to improve treatment strategies based on the likelihood of recurrence in patient subsets, as well as explore the role of predictive markers for therapy selection in the adjuvant setting. In the era of personalized medicine, there have been a wide array of molecular alterations and signatures studied for their potential prognostic and predictive utility, however most have failed to translate into clinical tools. This review will discuss progress made in clinical management of lung cancer, and recent progress in the development of patient selection tools for the refinement of early stage lung cancers.

Stereotactic Body Radiation Therapy for Non-Small Cell Lung Cancer Tumors Greater Than 5 cm: Safety and Efficacy

PURPOSE

The purpose of this study was to determine outcomes of patients with node-negative medically inoperable non-small cell lung cancer (NSCLC) whose primary tumors exceeded 5 cm and were treated with stereotactic body radiation therapy (SBRT).

METHODS AND MATERIALS

We surveyed our institutional prospective lung SBRT registry to identify treated patients with tumors >5 cm. Treatment outcomes for local control (LC), locoregional control (LRC), disease-free survival (DFS), and overall survival (OS) were assessed by Kaplan-Meier estimates. Toxicities were graded according to Common Terminology Criteria for Adverse Events version 4. Mean pretreatment pulmonary function test values were compared to mean posttreatment values.

RESULTS

From December 2003 to July 2014, 40 patients met study criteria. Median follow-up was 10.8 months (range: 0.4-70.3 months). Median age was 76 years (range: 56-90 years), median body mass index was 24.3 (range: 17.7-37.2), median Karnofsky performance score was 80 (range: 60-90), and median Charlson comorbidity index score was 2 (range: 0-5). Median forced expiratory volume in 1 second (FEV1) was 1.41 L (range: 0.47-3.67 L), and median diffusion capacity (DLCO) was 47% of predicted (range: 29%-80%). All patients were staged by fluorodeoxyglucose-positron emission tomography/computed tomography staging, and 47.5% underwent mediastinal staging by endobronchial ultrasonography. Median tumor size was 5.6 cm (range: 5.1-10 cm), median SBRT dose was 50 Gy (range: 30-60 Gy) in 5 fractions (range: 3-10 fractions). Eighteen-month LC, LRC, DFS, and OS rates were 91.2%, 64.4%, 34.6%, and 59.7%, respectively. Distant failure was the predominant pattern of failure (32.5%). Three patients (7.5%) experienced grade 3 or higher toxicity. Mean posttreatment FEV1 was not significantly reduced (P=.51), but a statistically significant absolute 6.5% (P=.03) reduction in DLCO was observed.

CONCLUSIONS

Lung SBRT for medically inoperable node-negative NSCLC with primary tumors larger than 5 cm is safe and provides excellent local control with limited toxicity. The predominant pattern of failure in this population was distant failure.

Clinical outcomes and changes in lung function after segmentectomy versus lobectomy for lung cancer cases

OBJECTIVE

We compared the clinical outcomes and changes in pulmonary function test (PFT) results after segmentectomy or lobectomy for non-small cell lung cancer.

METHODS

The retrospective study included 212 patients who had undergone segmentectomy (group S) and 2336 patients who had undergone lobectomy (group L) from 1997 to 2012. The follow-up and medical record data were collected. We used all the longitudinal PFT data within 24 months postoperatively and performed linear mixed modeling. We analyzed the 5-year overall and disease-free survival in stage IA patients. We used propensity score case matching to minimize the bias due to imbalanced group comparisons.

RESULTS

During the perioperative period, 1 death (0.4%) in group S and 7 (0.3%) in group L occurred. The hospital stay for the 2 groups was similar (median, 5.0 vs 5.0 days; range, 2-99 vs 2-58). The mean overall and disease-free survival period of those with T1a after segmentectomy or lobectomy seemed to be similar (4.2 vs 4.5 years, P=.06; and 4.1 vs 4.4 years, P=.07, respectively). Compared with segmentectomy, lobectomy yielded marginally significantly better overall (4.4 vs 3.9 years, P=.05) and disease-free (4.1 vs 3.6 years; P=.05) survival in those with T1b. We did not find a significantly different effect on the PFTs after segmentectomy or lobectomy.

CONCLUSIONS

Both surgical types were safe. We would advocate lobectomy for patients with stage IA disease, especially those with T1b. A retrospective study with a large sample size and more detailed information should be conducted for PFT evaluation, with additional stratification by lobe and laterality.

FDG PET/CT for the preoperative nodal staging of non-small cell lung cancer in a tuberculosis-endemic country: Are maximum standardized uptake values useful?

BACKGROUND

The aim of this study was to determine an optimum standardized uptake value threshold for identifying nodal metastasis in non-small cell lung cancer (NSCLC) patients using Fluorine-18 2-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography/computed tomography (PET/CT) in Taiwan, a tuberculosis-endemic country. The variation in standardized uptake values of nodal metastasis among different NSCLC histological subtypes was also evaluated.

METHODS

We retrospectively reviewed 75 NSCLC patients who had received FDG PET/CT before surgery. The diagnostic accuracy of FDG PET/CT for the preoperative nodal staging was evaluated by histopathologic findings.

RESULTS

A total of 316 nodal stations were evaluated. The sensitivity and specificity of FDG PET/CT for nodal staging were 58.6% and 81.8%, respectively, using an SUV cut-off of 2.6. With regard to the levels of mean SUVmax in true-positive and false-positive groups, there was no significant difference among different histological subtypes.

CONCLUSION

The present study demonstrated that FDG PET/CT for pre-operative nodal staging using SUVmax > 2.6 is a useful tool (with a higher specificity and a higher negative predictive value) to rule out the possibility of metastatic lymphadenopathy in operable patients with NSCLC.

Exponential decay nonlinear regression analysis of patient survival curves: preliminary assessment in non-small cell lung cancer

BACKGROUND

For processes that follow first order kinetics, exponential decay nonlinear regression analysis (EDNRA) may delineate curve characteristics and suggest processes affecting curve shape. We conducted a preliminary feasibility assessment of EDNRA of patient survival curves.

METHODS

EDNRA was performed on Kaplan-Meier overall survival (OS) and time to relapse (TTR) curves for 323 patients with resected NSCLC and on OS and progression-free survival (PFS) curves from selected publications.

RESULTS AND CONCLUSIONS

In our resected patients, TTR curves were triphasic with a "cured" fraction of 60.7% (half-life [t1/2] >100,000 months), a rapidly relapsing group (7.4%, t1/2=5.9 months) and a slowly relapsing group (31.9%, t1/2=23.6 months). OS was uniphasic (t1/2=74.3 months), suggesting an impact of co-morbidities; hence, tumor molecular characteristics would more likely predict TTR than OS. Of 172 published curves analyzed, 72 (42%) were uniphasic, 92 (53%) were biphasic, 8 (5%) were triphasic. With first-line chemotherapy in advanced NSCLC, 87.5% of curves from 2 to 3 drug regimens were uniphasic vs. only 20% of those with best supportive care or 1 drug (p<0.001). 54% of curves from 2 to 3 drug regimens had convex rapid-decay phases vs. 0% with fewer agents (p<0.001). Curve convexities suggest that discontinuing chemotherapy after 3-6 cycles "synchronizes" patient progression and death. With postoperative adjuvant chemotherapy, the PFS rapid-decay phase accounted for a smaller proportion of the population than in controls (p=0.02) with no significant difference in rapid-decay t1/2, suggesting adjuvant chemotherapy may move a subpopulation of patients with sensitive tumors from the relapsing group to the cured group, with minimal impact on time to relapse for a larger group of patients with resistant tumors. In untreated patients, the proportion of patients in the rapid-decay phase increased (p=0.04) while rapid-decay t1/2 decreased (p=0.0004) with increasing stage, suggesting that higher stage may be associated with tumor cells that both grow more rapidly and have a higher probability of surviving metastatic processes than in early stage tumors. This preliminary assessment of EDNRA suggests that it may be worth exploring this approach further using more sophisticated, statistically rigorous nonlinear modelling approaches. Using such approaches to supplement standard survival analyses could suggest or support specific testable hypotheses.

Disparities in lung cancer stage, treatment and survival among American Indians and Alaskan Natives

BACKGROUND

Disparities in lung cancer care and outcomes have been documented for blacks and Hispanics. Less is known about the care received by the American Indian and Alaskan Native population (AI/AN). We sought to evaluate lung cancer outcomes in this population and to asses if potential disparities in survival are explained by differences in stage of disease at diagnosis and type of treatment received.

METHODS

We identified patients with potentially resectable (stages I-IIIA) non-small cell lung cancer (NSCLC) from the Surveillance, Epidemiology and End Results registry between 1988 and 2006. Kaplan-Meier curves were used to compare survival of AI/AN patients to those of other racial groups. Cox regression analysis was used to identify potential mediators of the association between AI/AN origin and worse survival.

RESULTS

Five-year lung cancer survival was 47% for AI/AN, 56% for whites, 51% for blacks, 55% for Hispanics and 59% for individuals of other race (p<0.0001). AI/AN were more likely to be diagnosed with stage IIIA (p<0.0001) and less likely to undergo resection (p<0.0001) than whites. In multivariable regression analyses, controlling for patient characteristics and histology, AI/AN race was associated with worse survival than white patients. When stage, treatment and surgery were added to the model, AI/AN origin was no longer significantly associated with worse outcomes.

CONCLUSIONS

AI/AN with potentially resectable NSCLC have survival rates comparable to other minority groups and worse than whites. These survival differences are partly explained by advanced stage at diagnosis, and lower rates of treatment.

Activated carbon nanoparticles or methylene blue as tracer during video-assisted thoracic surgery for lung cancer can help pathologist find the detected lymph nodes

BACKGROUND

To assess whether using methylene blue (MB) or activated carbon nanoparticles as tracer can increase the detected number of lymph nodes in the systematic nodal dissected tissue during Video-Assisted Thoracic Surgery (VATS) for non-small cell lung cancer.

METHODS

Three groups of 20 patients each were obtained from randomization of 60 patients with NSCLC requiring VATS with systematic nodal dissection (SND) from February 2007 and December 2008, there were 17, 16, and 17 patients in group A (injection activated carbon nanoparticles), group B (injection MB), and group C (controls), respectively.

RESULTS

There was difference of the total number of dissected lymph nodes per patient among three groups (P < 0.001). The total number of dissected LNs and mediastinal nodes per patient in group A and group B was more than in group C (P < 0.001). There were 20, 18, and 14 metastatic LNs dissected in 6, 6, and 7 patients of group A, B, and C, respectively. There was difference of total number of dissected metastatic LNs per patient among three groups (P = 0.002).

CONCLUSIONS

MB can be as effective as activated carbon nanoparticles being tracer to increase the detected number of LNs in the systematic nodal dissected tissue during VATS for NSCLC.

[The International Association for the Study of Lung Cancer Staging Project. Prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer]

目的

本研究的目的是在国际肺癌研究协会国际分期数据库中采用外科治疗的Ⅰ-ⅢA期非小细胞肺癌病例中，评价除肿瘤原发灶、病理淋巴结和转移（TNM）分期外，细胞类型、年龄和性别的影响。

材料和方法

从提交至分期数据库的67 725例非小细胞肺癌（NSCLC）病例中，筛选出9 137例采用外科治疗的病例，这些病例的病理分期、年龄、性别和特殊组织细胞类型等信息均可获得。在亚组中分析记录行为状态和吸烟史。检验方法采用Cox比例风险回归和递归分割及合并（RPA）分析。

结果

病理TNM分期、年龄以及性别均为生存的独立预后因素。尽管细支气管肺泡癌（BAC）亚型间存在潜在的异质性，其相对于其它细胞类型仍具有生存优势。修正比较提示罹患鳞癌相对于非BAC腺癌及大细胞癌具有微弱的生存优势，尽管此优势仅限于男性患者。RPA结果提示TNM分期为首要因素，年龄是各分期分组的预后因素。在RPA分析中未发现细胞类型具有预后价值。依据RPA的结果形成预后分组，诸分组的预后价值得到北美监视、流行病学、结局结果注册机构的认可。在资料可得的亚组中，行为状态和吸烟史均为预后因素。在回归模型中，吸烟状态的纳入未影响其它变量的效果。

结论

年龄和性别已被证实为外科切除的非小细胞肺癌的重要预后因素。细胞类型的重要性次之，尽管归类于BAC的少部分病例相对于其它组织学类型具有生存优势，且鳞癌相对于非BAC腺癌具有微弱的生存优势。在未修正分析中，分期、年龄、性别和细胞类型间的不平衡可能会导致有关细胞类型的误导结果。在该分析中，病理TNM分类是最重要的预后因素。

Impact of total lymph node count and lymph node ratio on staging and survival after pancreatectomy for pancreatic adenocarcinoma: a large, population-based analysis

BACKGROUND

Based on data from other malignancies, the number of lymph nodes evaluated and the ratio of metastatic to examined lymph nodes (LNR) may be important predictors of survival. LNR has never been investigated in a large population-based study of patients with pancreatic adenocarcinoma.

METHODS

The Surveillance, Epidemiology, and End Results (SEER) database was used to identify 4005 patients who underwent resection for pancreatic adenocarcinoma from 1988 to 2003. The effect of total lymph node count and LNR on survival was examined using univariate and multivariate analyses.

RESULTS

The median number of lymph nodes examined was seven; 390 (10.1%) patients had no lymph nodes examined. Of those patients who had at least one lymph node examined, 1507 (43.3%) had no lymph node metastases (N0) and 1971 (56.7%) had metastatic nodal disease (N1). Overall median survival was 13 months, and 5-year survival was 6.8%. N1 disease was associated with a worse 5-year survival compared with N0 disease (4.3 vs 11.3%, respectively, P < .001). Patients with N0 disease could be further stratified based on the number of lymph nodes evaluated (median survival: 1-11 nodes, 16 months vs 12 or more nodes, 23 months; P < .001). For N1 patients, LNR was one of the most powerful factors associated with survival (LNR > 0-0.2, 15 months; LNR > 0.2-0.4, 12 months; LNR > 0.4, 10 months) (P < .001).

CONCLUSIONS

Most patients have an inadequate number of lymph nodes evaluated following pancreatic surgery. N0 patients who have fewer than 12 lymph nodes examined may be understaged. In patients with N1 disease, LNR may better substratify patients with regard to prognosis.

The influence of different culture microenvironments on the generation of dendritic cells from non-small-cell lung cancer patients

INTRODUCTION

Monocyte-derived dendritic cells (DCs) are currently under extensive evaluation as cell vaccines for cancer treatment. Many protocols regarding DCs generation in vitro with different protein components, especially autologous proteins, have been described. On the other hand, active tumor-derived factors in patients' serum could impair monocytes, which might result in their abrogated differentiation into DCs in vitro.

MATERIALS AND METHODS

Autologous DCs from non-small-cell lung cancer (NSCLC)-bearing patients were generated in different culture microenvironments. Peripheral blood mononuclear cells (PBMCs) were cultured in the presence of interleukin-4 and granulocyte-monocyte-stimulating factor with supplementation of 10% autologous serum, 10% allogenic serum, or 2% human albumin. The course of apoptosis, phagocytic ability, and the immunophenotype of the generated DCs were analyzed using flow cytometric methods.

RESULTS

After 48 h of culture, we found a lower percentage of CD1a+/CD14+ and a higher percentage of CD1a+/CD14(-) cells in the culture supplemented with human albumin than in the cultures supplemented with serums. The lowest CD14 antigen expression was found in the human albumin-supplemented 48-h cultures. After 48 h in the cultures carried out with human albumin we found significantly higher percentages of AV+/PI+ cells and AV(-)/PI+ cells than in cultures supplemented with autologous or allogenic serum. We also noted that the expression of FITC-dextran after 4 and 24 h of incubation was significantly higher in the cultures supplemented with both serums than in the HA-SC. The percentage of semi-mature DCs and of CD83 expression was lowest in the culture supplemented with 2% human albumin.

CONCLUSIONS

The kind of culture supplementation had a great impact on the apoptosis of cultured PBMCs. It could also influence the yield of monocyte-derived DCs. It was also confirmed that autologous and allogenic serums provide suitable microenvironments for the generation of autologous DCs from NSCLC patients. The choice of culture supplementation for DC generation is still unsolved and further studies should be undertaken.

Surgical assessment and intraoperative management of mediastinal lymph nodes in non-small cell lung cancer

Mediastinal lymph node status has important prognostic and therapeutic implications for nonsmall cell lung cancer patients. Consequently, an accurate pathologic assessment of mediastinal lymph nodes for metastasis is essential. Despite the significance of nodal assessment, practice patterns among surgeons vary widely. Therefore we reviewed the literature to provide evidence-based recommendations regarding the ideal means and extent of preoperative and intraoperative pathologic mediastinal lymph node staging in non-small cell lung cancer patients. We found that the most sensitive and accurate intraoperative method is a complete mediastinal lymph node dissection. Pathologic evaluation of at least 10 mediastinal lymph node from at least three stations should be performed at the time of surgery.

4-year mortality in patients with non-small-cell lung cancer: development and validation of a prognostic index

BACKGROUND

Lung cancer is the commonest cause of death due to cancer in the world. Non-small-cell lung carcinoma (NSCLC) represents about 80% of overall lung cancer cases worldwide. An accurate predictive model of mortality in patients with NSCLC could be useful to clinicians, policy makers, and researchers involved in risk stratification. The objective of this study was to develop and validate a simple prognostic index for 4-year mortality in patients with NSCLC by use of information obtained at the time of lung cancer diagnosis.

METHODS

In 2000, 4669 patients with histologically or cytologically proven NSCLC were enrolled prospectively from 137 pneumology departments in French general hospitals. Patients not lost to follow-up (n=4479) were randomly assigned to the development cohort (n=2979) or the validation cohort (n=1500). Every patient's physician completed a standard and anonymous questionnaire. We used a Cox model to identify variables independently associated with mortality and weighted the variables to create a prognostic index.

FINDINGS

Median follow-up for survivors was 49 months (IQR 46-51). There were 2585 deaths (87%) in the development cohort and 1310 deaths (87%) in the validation cohort. Five independent predictors of mortality were identified: age (>70 years, 1 point); sex (male, 1 point); performance status at diagnosis (reduced activity, 3 points; active >50%, 5 points; inactive >50%, 8 points; and total incapacity, 10 points); histological type (large-cell carcinoma, 2 points); and tumour-node-metastasis (TNM) staging system (IIA or IIB, 3 points; IIIA or IIIB, 6 points; and IV, 8 points). The minimum and maximum possible point scores were 0 and 22, respectively. Scores of the prognostic index were strongly associated with 4-year mortality in the development cohort: 0-1 points predicted a 35% (95% CI 28-43) risk, 2-4 points a 59% (52-66) risk, 5-7 points a 77% (72-81) risk, 8-10 points an 88% (85-90) risk, 11-14 points a 97% (96-98) risk, and 15-22 points a 99% (97-100) risk. The corresponding percentages in the validation cohort were 36% (24-47), 60% (50-70), 77% (71-83), 89% (86-93), 96% (95-98), and 99% (98-100), respectively. The prognostic index showed good discrimination, with mean bootstrap c statistics of 0.85 (95% CI 0.84-0.86) in the development cohort and 0.86 (95% CI 0.85-0.87) in the validation cohort.

INTERPRETATION

This prognostic index, incorporating personal, tumour, and functional information would be helpful in guiding patient management, resource use, and the design of clinical trials.