The IASLC Lung Cancer Staging Project: A Renewed Call to Participation

The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Proposals for the Revisions of the T-Descriptors in the Forthcoming Ninth Edition of the TNM Classification for Lung Cancer

INTRODUCTION

An international database was created by the International Association for the Study of Lung Cancer to inform on the ninth edition of the TNM classification of lung cancer. The present analyses concern its T component.

METHODS

Data on 124,581 patients diagnosed with lung cancer from January 1, 2011 to December 31, 2019 were submitted to the International Association for the Study of Lung Cancer database. Of these, 33,982 met the inclusion criteria for the clinical T analysis, and 30,715 met the inclusion criteria for the pathologic postsurgical analysis. Survival was measured from the date of diagnosis or operation for clinically and pathologically staged tumors, respectively. T descriptors were evaluated in univariate analysis and multivariable Cox regression analysis adjusted for age, sex, pathologic type, and geographic region.

RESULTS

Comprehensive survival analysis revealed that the existing eighth edition T component criteria performed adequately in the ninth edition data set. Although pathologic chest wall or parietal pleura involvement (PL 3) yielded a worse survival compared with the other T3 descriptors, with a similar survival as T4 tumors, this difference was not observed for clinical chest wall or PL 3 tumors. Because of these inconsistent findings, no reallocation of chest wall or PL 3 tumors is advised.

CONCLUSIONS

The T subcommittee members proposed not to implement any changes and keep the current eighth-edition T descriptors for the ninth edition.

Prognostic value of KRAS G12V mutation in lung adenocarcinoma stratified by stages and radiological features

OBJECTIVE

KRAS G12V is one of the most common KRAS mutation variants in lung adenocarcinoma (LUAD), and yet its prognostic value is still unrevealed. In this study, we investigated the clinicopathologic characteristics and prognostic value of the KRAS G12V mutation in LUAD.

METHODS

Data of 3829 patients who underwent LUAD resection between 2008 and 2020 were collected. Mutations were classified as wild-type, G12V, or non-G12V. The clinicopathologic characteristics, postoperative outcomes, and recurrence pattern were analyzed among groups.

RESULTS

In total, 3554 patients were wild-type and 275 patients harbored a KRAS mutation: 60 patients with G12V (22.2%) and 215 patients with non-G12V (77.8%). The KRAS G12V mutation was more frequent in male patients, older patients (≥60 years), former/current smokers, those patients with radiologic solid nodules, and those with highly invasive histologic subtypes. Tumors carrying KRAS G12V mutation exhibited elevated programmed death-ligand 1 expression in comparison with wild-type tumors. KRAS G12V was more prevalent in older patients and had less lymphovascular invasion compared with other mutation types. FGF3, RET, and KDR co-mutations occurred more frequently in the KRAS G12V group. Multivariate analysis demonstrated that the KRAS G12V mutation was an independent prognostic factor in stage Ⅰ tumors, whereas the KRAS non-G12V mutation was not. KRAS G12V was associated with early recurrence and locoregional recurrence.

CONCLUSIONS

The KRAS G12V mutation was associated with aggressive clinical-pathologic phenotype and early recurrence. To note, this mutation exhibited a significantly worse prognosis in patients with part-solid and stage Ⅰ lung adenocarcinoma. Meanwhile, the prognostic significance of KRAS G12C and G12V variants was comparable.

Incorporation of the lepidic component as an additional pathological T descriptor for non-small cell lung cancer: Data from 3335 cases of lung adenocarcinoma

OBJECTIVES

The Lepidic Component (LP) identifies a subgroup with an excellent prognosis for lung adenocarcinoma (LUAD). Our research aimed to propose an improved pathological T (pT) stage for LUAD based on LP.

MATERIALS AND METHODS

Totally, 3335 surgical patients with pathological stage I LUAD were incorporated. Factors affecting survival were investigated by analyzing recurrence-free survival (RFS) and overall survival (OS) using the Kaplan-Meier method and Cox regression analyses. Subgroup analysis based on Lepidic Ratio (LR) was further evaluated. The net benefit from the modified pT category (pTm) was assessed using the Area Under the time-dependent Receiver Operating Curve (AUC), Harrell's Concordance Index (C-index), Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI).

RESULTS

The presence of LP (LP+) was identified in 1425 (42.7 %) patients, indicating a significantly better RFS (P < 0.001) and OS (P < 0.001) than those without LP, and similar results were reproduced in pT1a-pT2a subcategory (P < 0.050 for all). Multivariable Cox analysis revealed LP+ as an independent prognostic factor for both RFS (HR, 0.622; P < 0.001) and OS (HR, 0.710; P = 0.019). However, lepidic ratio (LR) was not independently associated with both RFS and OS for LP+ patients. The 5-year RFS and OS rates between T1a (LP-) and T1b (LP+), T1b (LP-) and T1c (LP+), and T1b (LP-) and T2a (LP+) were comparable (P > 0.050 for all). After modification, compared with current 8th edition pT stage system (pT8), pTm independently predicted RFS and OS, and AUCs, c-index, NRI, and IDI analysis all demonstrated pTm holds better discrimination performances than pT8 for LUAD prognosis.

CONCLUSION

LP can be an additional down-staged T descriptor for pathological stage I LUAD and improve the survival predictive performance of reclassification.

Prognostic value of KRAS G12C mutation in lung adenocarcinoma stratified by stages and radiological features

OBJECTIVES

The role of KRAS G12C is of particular interest given the promising clinical activity of KRAS G12C-specific inhibitors. This study comprehensively investigated the clinicopathological characteristics and prognostic value of KRAS G12C mutation in patients with surgically resected lung adenocarcinoma.

METHODS

Data were collected on 3828 patients with completely resected primary lung adenocarcinomas who underwent KRAS mutation analysis between 2008 and 2020. The association between KRAS G12C and clinicopathologic characteristics, molecular profiles, recurrence patterns, and postoperative outcome were explored.

RESULTS

Two hundred seventy-five patients (7.2%) were confirmed to harbor a KRAS mutation, of whom 83 (30.2%) had the G12C subtype. KRAS G12C was more frequent in men, former/current smokers, radiologic solid nodules, invasive mucinous adenocarcinoma, and solid predominant tumors. KRAS G12C tumors had more lymphovascular invasion and higher programmed death-ligand 1 expression than KRAS wild-type tumors. TP53 (36.8%), STK11 (26.3%), and RET (18.4%) mutations were the 3 most frequent in the KRAS G12C group. Logistic regression analysis showed patients with KRAS G12C mutation were prone to experience early recurrence and locoregional recurrence. KRAS G12C mutation was found to be significantly associated with poor survival after propensity score matching. Stratified analysis showed that the KRAS G12C was an independent prognostic factor in stage I tumors and part-solid lesions, respectively.

CONCLUSIONS

The KRAS G12C mutation had a significant prognostic value in stage I lung adenocarcinomas as well as in part-solid tumors. Furthermore, it exhibited a potentially aggressive phenotype associated with early and locoregional recurrence. These findings might be relevant as better KRAS treatments are developed for clinical application.

The number of metastatic lymph nodes is more predictive of prognosis than location-based N stage for nonsmall cell lung cancer: a retrospective cohort study

BACKGROUND

The eighth edition of nodal classification is defined only by the anatomical location of metastatic lymph nodes and has limited prognostic discrimination power. The authors aimed to evaluate the prognostic significance and discriminatory capability of the number of metastatic lymph nodes (nN) in resected nonsmall cell lung cancer.

MATERIALS AND METHODS

Patients with stage IA to IIIB resected nonsmall cell lung cancer between 1 January 2009 and 31 December 2013 were analyzed as a Chinese cohort. The optimal thresholds for the nN classification were determined by the X-tile. The receiver operating characteristic curve, net reclassification improvement and standardized net benefit calculated by decision curve analysis was estimated to quantify the nN classification's performance in prognostic stratification. External validation in the surveillance, epidemiology, and end results database was performed to test the robustness of the nN classification.

RESULTS

Both cohorts showed a stepwise prognosis deterioration with increasing nN. One to three, four to six, and more than six were selected as optimal thresholds of nN classification in the Chinese cohort, which included 4432 patients, then validated in the SEER cohort ( n =28 022 patients). Multivariate Cox analysis showed the nN classification was an independent predictive factor for overall survival in both cohorts (Chinese cohort and SEER cohort: N 0 vs. N 1-3 , P <0.001; N 0 vs. N 3-6 , P <0.001; N 0 vs. N >6 , P <0.001). And prognostic discriminatory capability was improved in the nN classification compared with location-based N classification [5-year NRI score, 0.106 (95% CI: 0.049-0.132) and 5-year time-independent AUC, 0.593 (95% CI: 0.560-0.625) vs. 0.554 (95% CI: 0.520-0.588), P <0.001].

CONCLUSIONS

The nN classification tended to be a superior prognostic indicator than the location-based N classification. The number of metastatic lymph nodes should be considered in the future revision of the TNM system.

The International Association for the Study of Lung Cancer Staging Project for Lung Cancer: Proposals for the Revision of the N Descriptors in the Forthcoming Ninth Edition of the TNM Classification for Lung Cancer

INTRODUCTION

The accurate assessment of nodal (N) status is crucial to the management and prognostication of nonmetastatic NSCLC. We sought to determine whether the current N descriptors should be maintained or revised for the upcoming ninth edition of the international TNM lung cancer staging system.

METHODS

Data were assembled by the International Association for the Study of Lung Cancer on patients with NSCLC, detailing both clinical and pathologic N status, with information about anatomical location and individual station-level identification. Survival was calculated by the Kaplan-Meier method and prognostic groups were assessed by a Cox regression analysis.

RESULTS

Data for clinical N and pathologic N status were available in 45,032 and 35,009 patients, respectively. The current N0 to N3 descriptors for both clinical N and pathologic N categories reflect prognostically distinct groups. Furthermore, single-station N2 involvement (N2a) exhibited a better prognosis than multistation N2 involvement (N2b) in both clinical and pathologic classifications, and the differences between all neighboring nodal subcategories were highly significant. The prognostic differences between N2a and N2b were robust and consistent across resection status, histologic type, T category, and geographic region.

CONCLUSIONS

The current N descriptors should be maintained, with the addition of new subdescriptors to N2 for single-station involvement (N2a) and multiple-station involvement (N2b).

Radiologic Extranodal Extension of Metastatic Lymph Nodes in Patients With Non-Small Cell Lung Cancer: Prognostic Utility and Diagnostic Performance

BACKGROUND. Pathologic extranodal extension (ENE) in metastatic lymph nodes (LNs) has been associated with unfavorable prognosis in patients with non-small cell lung cancer (NSCLC). OBJECTIVE. The purpose of this article was to evaluate the prognostic utility of radiologic ENE and its diagnostic performance in predicting pathologic ENE in patients with NSCLC. METHODS. This retrospective study included 382 patients (mean age, 67 ± 10 [SD] years; 297 men, 85 women) diagnosed with NSCLC and clinical N1 or N2 disease between January 2010 and December 2016. Two thoracic radiologists reviewed staging chest CT examinations to record subjective overall impression for radiologic ENE (no ENE, possible/probable ENE, or unambiguous ENE), reviewing 30 examinations in consensus and the remaining examinations independently. Kaplan-Meier survival analysis and multivariable Cox proportional hazards model were used to evaluate the utility of radiologic ENE in predicting overall survival (OS). Prognostic utility of radiologic ENE was also assessed in patients with clinical N2a disease. In patients who underwent surgery, sensitivity and specificity were determined of radiologic unambiguous ENE in predicting pathologic ENE. RESULTS. The 5-year OS rates for no ENE, possible/probable ENE, and unambiguous ENE were 44.4%, 39.1%, and 20.9% for reader 1 and 45.7%, 36.6%, and 25.6% for reader 2, respectively. Unambiguous ENE was an independent prognostic factor for worse OS (reader 1: adjusted HR, 1.72, p = .008; reader 2: adjusted HR, 1.56, p = .03), whereas possible/probable ENE was not (reader 1: adjusted HR, 1.18, p = .33; reader 2: adjusted HR, 1.21, p = .25). In patients with clinical N2a disease, 5-year OS rate in patients with versus without unambiguous ENE for reader 1 was 22.2% versus 40.6% (p = .59) and for reader 2 was 27.6% versus 41.0% (p = .49). In 203 patients who underwent surgery (66 with pathologic ENE), sensitivity and specificity of radiologic unambiguous ENE for predicting pathologic ENE were 11% and 93% for reader 1 and 23% and 87% for reader 2. CONCLUSION. Radiologic unambiguous ENE was an independent predictor of worse OS in patients with NSCLC. The finding had low sensitivity but high specificity for pathologic ENE. CLINICAL IMPACT. Radiologic ENE may have a role in NSCLC staging workup and treatment selection.

Different prognostic role of EGFR mutation according to the IASLC histological grade in patients with resected early-stage lung adenocarcinoma

AIMS

The prognostic role of EGFR mutations remains controversial. We aimed to evaluate the prognostic role of EGFR mutation in consideration of the IASLC histological grade in patients with resected early-stage lung adenocarcinoma.

METHODS AND RESULTS

A total of 3297 patients with stages I-IIA resected lung adenocarcinoma who had had EGFR mutation tests between January 2014 and December 2019 at the Samsung Medical Center, Seoul, Korea were included. Recurrence-free survival (RFS) was compared by EGFR mutation status (EGFR-M+ versus EGFR-WT) and IASLC histological grade (G1, G2 and G3). Cox proportional hazards models were used to estimate the adjusted HRs (aHRs) and 95% confidence intervals (CIs).

RESULTS

Compared to the EGFR-WT group, the EGFR-M+ group had a significantly lower proportion of G3 tumour (16 versus 33%, P < 0.001). During a median follow-up of 41.4 months, 376 patients experienced recurrence. After adjusting for histological grade, the aHR for recurrence comparing the EGFR-M+ to the EGFR-WT was 1.30 (95% CI = 1.04-1.62, P = 0.022). The EGFR-M+ group had a significantly lower 5-year RFS than the EGFR-WT group among G3 patients (58.4 versus 71.5%, P < 0.001), but not among G1 and G2 patients.

CONCLUSIONS

EGFR mutation status was associated with a risk of recurrence after consideration of the IASLC histological grading, especially in G3 tumours. The results of this study would be useful for developing a new staging system and identifying a subset of patients who may benefit from adjuvant targeted therapy.

IASLC Lung Cancer Staging Project: The New Database to Inform Revisions in the Ninth Edition of the TNM Classification of Lung Cancer

In the past 20 years, the International Association for the Study of Lung Cancer (IASLC) has been working on a global project to revise the TNM classification of lung cancer. The first and second phases of the staging projects proposed recommendations for revision of the TNM classification, which were adopted by the Union for International Cancer Control and the American Joint Committee on Cancer as their seventh and eighth editions of the TNM classifications of lung cancer. For the third phase of the IASLC Staging Project, a new database of lung cancer cases diagnosed between January 2011 and December 2019 has been established. The Staging and Prognostic Factors Committee of the IASLC is in charge of the process of proposing new recommendations. The newly established database consisted of 124,581 cases. The data were obtained from Asia and Australia (56.0%), Europe (24.7%), North America (15.7%), South/Central America (3.4%), and Africa and the Middle East (0.1%). After cases with incomplete data are excluded, 87,043 cases were enrolled in the analysis, of which 52,069 (59.8%) were invasive adenocarcinoma and 15,872 (18.2%) were squamous cell carcinoma. Both clinical and pathologic stages were available in 44,831 (51.5%) cases. Analyses of this database are expected to provide proposals for changing the TNM classification toward the ninth edition, which is scheduled to be in use in January 2024. This newly established global database on lung cancer is described to provide fundamental elements for revisions of the TNM rules for staging lung cancer.

Derivation and External Validation of a Risk Prediction Model for Pulmonary Embolism in Patients With Lung Cancer: A Large Retrospective Cohort Study

OBJECTIVE

To investigate the risk factors of pulmonary embolism in patients with lung cancer and develop and validate a novel nomogram scoring system-based prediction model.

METHOD

We retrospectively analyzed the clinical data and laboratory characteristics of 900 patients with lung cancer who were treated, including patients with lung cancer without pulmonary embolism (LC) and patients with lung cancer with pulmonary embolism (LC  +  PE). The patients were randomly divided into derivation and internal validation groups in a 7:3 ratio. Using logistic regression analysis, a diagnostic model of the nomogram scoring system was developed by incorporating selected variables in the derivation group and validated in the internal and external validation groups (n  =  108).

RESULT

Seven variables (adenocarcinoma, stage III-IV LC, indwelling central venous catheter, chemotherapy, and the levels of serum albumin, hemoglobin, and D-dimer) were identified as valuable parameters for developing the novel nomogram diagnostic model for differentiating patients with LC and LC  +  PE. The scoring system demonstrated good diagnostic performance in the derivation (area under the curve [AUC]; 95% confidence interval [CI], 0.918; 0.893, 0.943; sensitivity, 88.5%; specificity, 80.5%), internal validation (AUC; 95% CI, 0.921; 0.884, 0.958; sensitivity, 90.5%; specificity, 80.4%), and external validation (AUC; 95% CI, 0.929; 0.875, 0.983; sensitivity; 85.0%; specificity; 87.5%) groups.

CONCLUSION

In this study, we constructed and validated a nomogram scoring system based on 7 clinical parameters. The scoring system exhibits good accuracy and discrimination between patients with LC and LC  +  PE and can effectively predict the risk of PE in patients with LC.

Early stage NSCLS patients' prognostic prediction with multi-information using transformer and graph neural network model

Background:

We proposed a population graph with Transformer-generated and clinical features for the purpose of predicting overall survival (OS) and recurrence-free survival (RFS) for patients with early stage non-small cell lung carcinomas and to compare this model with traditional models.

Methods:

The study included 1705 patients with lung cancer (stages I and II), and a public data set for external validation (n=127). We proposed a graph with edges representing non-imaging patient characteristics and nodes representing imaging tumour region characteristics generated by a pretrained Vision Transformer. The model was compared with a TNM model and a ResNet-Graph model. To evaluate the models' performance, the area under the receiver operator characteristic curve (ROC-AUC) was calculated for both OS and RFS prediction. The Kaplan–Meier method was used to generate prognostic and survival estimates for low- and high-risk groups, along with net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis. An additional subanalysis was conducted to examine the relationship between clinical data and imaging features associated with risk prediction.

Results:

Our model achieved AUC values of 0.785 (95% confidence interval [CI]: 0.716–0.855) and 0.695 (95% CI: 0.603–0.787) on the testing and external data sets for OS prediction, and 0.726 (95% CI: 0.653–0.800) and 0.700 (95% CI: 0.615–0.785) for RFS prediction. Additional survival analyses indicated that our model outperformed the present TNM and ResNet-Graph models in terms of net benefit for survival prediction.

Conclusions:

Our Transformer-Graph model was effective at predicting survival in patients with early stage lung cancer, which was constructed using both imaging and non-imaging clinical features. Some high-risk patients were distinguishable by using a similarity score function defined by non-imaging characteristics such as age, gender, histology type, and tumour location, while Transformer-generated features demonstrated additional benefits for patients whose non-imaging characteristics were non-discriminatory for survival outcomes.

Funding:

The study was supported by the National Natural Science Foundation of China (91959126, 8210071009), and Science and Technology Commission of Shanghai Municipality (20XD1403000, 21YF1438200).

The Difference and Significance of Parietal Pleura Invasion and Rib Invasion in Pathological T Classification With Non-Small Cell Lung Cancer

Objective

This study was to explore the difference and significance of parietal pleura invasion and rib invasion in pathological T classification with non-small cell lung cancer.

Methods

A total of 8681 patients after lung resection were selected to perform analyses. Multivariable Cox analysis was used to identify the mortality differences in patients between parietal pleura invasion and rib invasion. Eligible patients with chest wall invasion were re-categorized according to the prognosis. Cancer-specific survival curves for different pathological T (pT) classifications were presented.

Results

There were 466 patients considered parietal pleura invasion, and 237 patients served as rib invasion. Cases with rib invasion had poorer survival than those with the invasion of parietal pleura (adjusted hazard ratio [HR]= 1.627, P =0.004). In the cohort for parietal pleura invasion, patients with tumor size ≤5cm reached more satisfactory survival outcomes than patients with tumor size >5cm (unadjusted HR =1.598, P =0.006). However, there was no predictive difference in the cohort of rib invasion. The results of the multivariable analysis revealed that the mortality with parietal pleura invasion plus tumor size ≤5cm were similar to patients with classification pT3 (P =0.761), and patients for parietal pleura invasion plus tumor size >5cm and pT4 had no stratified survival outcome (P =0.809). Patients identified as rib invasion had a poorer prognosis than patients for pT4 (P =0.037).

Conclusions

Rib invasion has a poorer prognosis than pT4. Patients with parietal pleura invasion and tumor size with 5.1-7.0cm could be appropriately up-classified from pT3 to pT4.

Prognostic evaluation of the proposed residual tumor classification in a Chinese non-small cell lung cancer population

BACKGROUND

This study aimed to validate the R classification including uncertain resection (R-un) proposed by the International Association for the Study of Lung Cancer (IASLC) in a Chinese non-small cell lung cancer (NSCLC) population.

METHODS

The study retrospectively investigated a 2009-2013 single-institutional NSCLC resection cohort in China. After reclassification, recurrence-free survival (RFS) and overall survival (OS) were calculated using survival analyses and compared with those using the 2005 version IASLC R classification.

RESULTS

Under the proposed stratification, 3819 (72.1%) individuals were classified as R0, 1371 (25.9%) as R-un, 71 (1.3%) as R1, and 32 (0.6%) as R2. The 5-year OS probabilities for the R0, R-un, and R1/R2 groups were 71%, 46%, and 34%, respectively. The prognostic stratification remained significant in the fully adjusted Cox models (p < 0.001). Compared with the original classification, Harrell's concordance index of reclassification improved significantly, from 0.508 to 0.679 for RFS and from 0.510 to 0.692 for OS (RFS: p = 0.007; OS: p = 0.001). The survival analysis showed that R-un patients with highest mediastinal lymph node station metastasis had significantly worse survival than R0 patients with mediastinal nodal metastasis (RFS: 44 vs. 36 months, hazard ratio [HR]: 1.29, p < 0.001; OS: 59 vs. 50 months, HR: 1.34, p < 0.001). Cox proportional hazards regression analysis showed that highest mediastinal lymph node station metastasis was an independent risk factor for RFS (HR: 1.22) and OS (HR: 1.25).

CONCLUSIONS

The proposed R classification showed valid prognostic stratification, including highest mediastinal nodal station metastasis.

Proposal for Rib invasion as an independent T descriptor for non-small cell lung cancer: A propensity-score matching analysis

INTRODUCTION

To evaluate the prognosis between patients with non-small cell lung cancer (NSCLC) invading difference depth of chest wall and estimate the impact of rib invasion on the pathological T classifications (pT).

METHODS

We retrospectively evaluated 521 patients with resected pT3-4 NSCLC. Propensity-score matching (PSM) balanced the known confounders of the prognosis, resulting in two sets (rib invasion vs the pT3 and pT4 group). Recurrence-free survival (RFS) and Overall survival (OS) was assessed by Cox regression and Kaplan-Meier methods. Time-dependent receiver operating characteristic (ROC) curves were used to assess the additional benefit for survival prediction after reclassifying rib invasion cases.

RESULTS

Chest wall invasion occurred in 171 patients (62 rib invasion, 51 parietal pleural invasion [PL3] and 58 soft tissue invasion). Rib invasion was found to be an independent prognostic factor for both RFS (p = 0.006) and OS (p < 0.001) of pT3-4 NSCLC. The survival of rib invasion group was the worst (RFS: 13.1%; OS: 19.8%), followed by PL3 (RFS: 34.2%, P = 0.001; OS: 48.8%; p < 0.001) and the soft tissue invasion group (RFS: 40.6%, p = 0.001; OS: 57.7%, p < 0.001). Besides, the prognosis of rib invasion group was also found to be worse than those of pT3 (RFS: p < 0.001; OS: p < 0.001) and pT4 group (RFS: p = 0.002; OS: p < 0.001). After PSM, the 5-year RFS rate of rib invasion group were still lower than that of pT3 and pT4 group (p < 0.001); the 5-year OS rate of rib invasion was similar with that of pT4 group (p = 0.066) but lower than that of pT3 group (p = 0.014). The time-dependent ROC curves demonstrated that reclassifying rib invasion as pT4 disease provided an additional benefit for survival prediction (p < 0.001).

CONCLUSION

The rib invasion group had a worse prognosis than the PL3 and pT3 groups. The prognostic impact of rib invasion should be further validated as a pT4 disease in the TNM classification.

Association of Venous Thromboembolism and Early Mortality in Patients with Newly Diagnosed Metastatic Non-Small Cell Lung Cancer

Purpose

To explore the relationship between venous thromboembolism (VTE) and early mortality (within six months) in Chinese patients with newly diagnosed metastatic non-small cell lung cancer (NSCLC) after entering the era of precision treatment.

Methods

A cohort of 706 consecutive subjects with newly diagnosed metastatic NSCLC were prospectively observed. Clinical and survival data were recorded over a six-month follow-up period. The predictive factors for the occurrence of VTE and the relationship with early mortality were evaluated through univariate and multivariate analyses.

Results

During the six-month follow-up period, VTE events occurred in 12.2% (86/706) of the enrolled patients. In the multivariate analyses for VTE, an age older than 70 years (vs < 70: sub-distribution hazard radio [SHR], 1.678; 95% confidence interval (CI), 1.073–2.600; P=0.022), an Eastern Cooperative Oncology Group performance status ≥2 (vs 0/1: SHR, 1.946; 95% CI, 1.277–2.970; P=0.002), and having an ALK rearrangement (vs non-rearrangement: SHR, 2.377; 95% CI, 1.186–4.760; P=0.015) were significantly associated with the occurrence of VTE. Within six months, 116 subjects (16.4%) died, and the occurrence of VTE (vs no VTE: adjusted HR: 1.863; 95% CI: 1.178–2.947, P=0.008) was remarkably associated with early mortality. Further analysis showed 98 patients (13.9%) with early mortality had EGFR/ALK wild-type genes, with a risk of early mortality 5.935-fold higher than that of patients with an EGFR mutation/ALK rearrangement. Finally, subgroup analyses showed that VTE occurrence was a significant factor for predicting early mortality in patients with EGFR/ALK wild-type genes (adjusted HR: 1.682; 95% CI: 1.023–2.768, P=0.041).

Conclusion

Patients with an EGFR mutation/ALK rearrangement had a significantly decreased risk of early mortality in the era of targeted therapy; however, VTE occurrence remained an important predictor for early mortality in metastatic NSCLC patients, especially in patients with EGFR/ALK wild-type genes.

Validation of the T Descriptor (TNM-8) in T3N0 Non-Small-Cell Lung Cancer Patients; a Bicentric Cohort Analysis with Arguments for Redefinition

Simple Summary

Lung cancer patients have different survival outcomes depending on tumor size and growth pattern after surgery. This study aims to optimize tumor classification, and identify patients who could benefit the most from additional chemotherapy after surgery. In a specific lung cancer cohort, we study how a new redefinition of tumor classification could lead to a more solid recommendation of which patients to offer chemotherapy after surgery.

Abstract

The current pT3N0 category represents a heterogeneous subgroup involving tumor size, separate tumor nodes in one lobe, and locoregional growth pattern. We aim to validate outcomes according to the eighth edition of the TNM staging classification. A total of 281 patients who had undergone curative lung cancer surgery staged with TNM-7 in two German centers were retrospectively analyzed. The subtypes tumor size >7 cm and multiple nodules were grouped as T3a, and the subtypes parietal pleura invasion and mixed were grouped as T3b. We stratified survival by subtype and investigated the relative benefit of adjuvant chemotherapy according to subtype. The 5-year overall survival (OS) rates differed between the different subtypes tumor diameter >7 cm (71.5%), multiple nodules in one lobe (71.0%) (grouped as T3a), parietal pleura invasion (59.%), and mixed subtype (5-year OS 50.3%) (grouped as T3b), respectively. The cohort as a whole did not gain significant OS benefit from adjuvant chemotherapy. In contrast, adjuvant chemotherapy significantly improved OS in the T3b subgroup (logrank p = 0.03). This multicenter cohort analysis of pT3N0 patients identifies a new prognostic mixed subtype. Tumors >7 cm should not be moved to pT4. Patients with T3b tumors have significantly worse survival than patients with T3a tumors.

Prognostic impact of extranodal extension in patients with pN1-N2 lung adenocarcinoma

PURPOSE

Lymph node involvement is one of the important prognostic factors of patients with lung adenocarcinoma. In the tumor, node, and metastasis classification, lymph node involvement is categorized only according to the anatomical station and not the involvement pattern. The aim of this study was to investigate which morphological pattern of lymph node involvement affects the prognosis of patients with surgically resected lung adenocarcinoma.

METHODS

We retrospectively reviewed 168 consecutive patients who underwent surgical resection for primary lung adenocarcinoma with lymph node involvement. The morphological patterns of lymph node involvement (tumor area, number of metastatic lymph nodes, presence of necrosis, and extranodal extension) were histologically examined. The relationships between the patterns of lymph node involvement, clinicopathological features, and survival of patients were analyzed.

RESULTS

Eighty patients had N1 disease, and 88 patients had N2 disease. Univariate analysis revealed that invasive size, history of adjuvant chemotherapy, and presence of extranodal extension were significant prognostic factors in N1 patients, and vascular invasion, pleural invasion, presence of epidermal growth factor receptor mutation, history of adjuvant chemotherapy, and presence of extranodal extension were significant prognostic factors in N2 patients. In a bivariate analysis including other clinicopathological factors and patterns of lymph node involvement, the presence of extranodal extension was significantly associated with poor 3-year overall and recurrence-free survival of both N1 and N2 patients.

CONCLUSIONS

In patients who underwent surgical resection for lung adenocarcinoma with lymph node involvement, the extranodal extension was the most important prognostic factor among morphological lymph node involvement patterns.

Evolution of the surgical treatment of lung cancer at a tertiary referral center in Brazil, 2011-2018

Objective:

To evaluate the evolution of clinical and epidemiological data, as well as data related to diagnosis, staging, treatment, and survival, among patients undergoing curative surgery for lung cancer at a tertiary referral center in the city of São Paulo, Brazil.

Methods:

This was a retrospective study of cases in the International Association for the Study of Lung Cancer database. We selected only cases of patients undergoing curative surgery between January of 2011 and April of 2018. We determined overall and disease-free survival at 36 months and compared the data between two periods (2011-2014 and 2015-2018).

Results:

Comparing the two periods (N = 437 cases), we observed trends toward increases in the number of female patients, as well as in the proportions of former smokers (44.09% vs. 53.59%), of patients diagnosed with adenocarcinoma (52.21% vs. 59.72%), and of patients diagnosed at an earlier pathological stage, together with a decrease in 30-day mortality (4.05% vs. 2.39%). There were significant increases in the proportions of cases diagnosed at an earlier clinical stage (p = 0.002) or incidentally (p = 0.003). Although lobectomy was the main surgical technique employed, there was a proportional increase in segmentectomies (2.67% vs. 7.11%; p = 0.026). Overall and disease-free survival rates were 79.4% (95% CI: 74.0-83.9%) and 75.1% (95% CI: 69.1-80.1%), respectively. The difference in overall survival between the periods lost statistical significance when adjusted for pathological stage, the only factor that affected survival (log-rank: p = 0.038 to p = 0.079).

Conclusions:

The clinical and epidemiological evolution presented in this study corroborates global trends. The decrease in 30-day mortality was probably due to better patient selection and improved surgical techniques.

Characterization of Extracapsular Lymph Node Involvement and Its Clinicopathological Characteristics in Stage II-IIIA Lung Adenocarcinoma

BACKGROUND

The prognostic impact and clinicopathological characteristics of extracapsular lymph node involvement (ECLNI) in patients with surgically resected lung adenocarcinoma (LUAD) remain unknown in the context of the eighth edition N classification.

PATIENTS AND METHODS

We retrospectively reviewed 279 patients with stage II-IIIA LUAD who underwent lobectomy and lymphadenectomy. The correlations of ECLNI presence and clinicopathological profiles were analyzed. We also assessed the impact of ECLNI on the postoperative survival of pN1 and pN2 LUAD patients.

RESULTS

ECLNI-positive status was more common in patients with high lymph node yield and in patients with multiple stations involved. The logistic regression model identified tumor spread through air spaces, micropapillary component, cribriform component, and nodal stage as predictive factors for ECLNI presence. LUAD patients with ECLNI presence had an increased risk of locoregional recurrence compared with those without (p < 0.001). Presence of ECLNI was confirmed as an independent risk factor for worse recurrence-free survival (RFS) (p < 0.001) and overall survival (OS) (p < 0.001) in the entire cohort. Among the 61 patients with ECLNI(+)pN2 disease, our analysis revealed that adjuvant radiation was a significant predictor of improved RFS and OS. In addition, ECLNI status provides additional precision in stratifying pN1 and pN2 patients with significantly different RFS and OS.

CONCLUSIONS

Our data suggest that ECLNI remains a strong prognosticator of unfavorable OS and RFS for LUADs in the context of the eighth edition N classification. Adjuvant radiation should be actively considered for pN1b and pN2 LUAD patients with ECLNI presence.

Report from the European Society of Thoracic Surgeons prospective thymic database 2017: a powerful resource for a collaborative global effort to manage thymic tumours

OBJECTIVES

We queried the European Society of Thoracic Surgeons (ESTS) prospective thymic database for descriptive analysis and for comparison with the ESTS retrospective thymic database (1990-2010).

METHODS

Data were retrieved (January 2007-November 2017) for 1122 patients from 75 ESTS institutions.

RESULTS

There were 484 (65%) thymomas, 207 (28%) thymic carcinomas and 49 (7%) neuroendocrine thymic tumours. Staging (Masaoka) included 483 (67%) stage I and II, 100 (14%) stage III and 70 (10%) stage IV tumours. The new International Association for the Study of Lung Cancer/International Thymic Malignancies Interest Group tumour, node and metastasis (TNM) classification was available for 224 patients and including 177 (85%) stage I-II, 37 (16%) stage IIIA and 10 (4%) stage IIIB tumours. Chemotherapy as induction and adjuvant treatment was used in 14% and 15% of the patients. Radiotherapy was almost exclusively used postoperatively (24%). A minimally invasive surgical approach (video-assisted thoracic surgery/robotic-assisted thoracic surgery) was used in 276 (33%) patients. The overall recurrence rate was 10.8% (N = 38). Compared to the ESTS retrospective database, the increased prevalence of thymic carcinomas (from 9% to 28%) and neuroendocrine thymic tumours (from 2% to 7%), an increase in the use of minimally invasive techniques (from 6% to 34%) and a wider use of chemotherapy as induction (from 9% to 15%) and adjuvant (from 2% to 16%) treatment were observed in the prospective database. The introduction of a set of variables considered essential for the data use ('minimum dataset') resulted in an increased average completeness rate.

CONCLUSIONS

The reported data from the ESTS prospective thymic database confirm the recent trends in the management of thymic tumours. The ESTS prospective thymic database represents a powerful resource open to all ESTS members for the global effort to manage these rare tumours.

Prognostic value of epidermal growth factor receptor gene mutation in resected lung adenocarcinoma

BACKGROUND

Mutation of the EGFR gene is known as a predictor for the response to EGFR tyrosine kinase inhibitor. Although EGFR mutation status is proposed to be incorporated in the Ninth Edition of the Lung Cancer Staging system, its prognostic value for surgically resected lung adenocarcinoma remains controversial.

METHODS

Data on 1512 patients with completely resected lung adenocarcinoma who underwent EGFR mutation analysis between 2008 and 2015 were collected. The prognostic value of EGFR mutations was determined in patients with lung adenocarcinoma stratified by clinicopathologic and radiologic characteristics. Independent prognostic factors were identified by multivariate analysis using the Cox proportional hazards model. Competing risk model was used to estimate the cumulative incidence.

RESULTS

EGFR mutations were identified in 935 patients (61.8%). In the entire cohort, there was no difference in recurrence-free survival between the EGFR-mutated group and the wild-type group (P = .266). However, Cox multivariate analyses revealed that EGFR mutation was a strong independent prognostic factor for worse recurrence-free survival in patients with radiologic solid tumors (hazard ratio, 1.485; 95% confidence interval, 1.208-1.826; P < .001), histologic acinar pattern-predominant adenocarcinoma/papillary pattern-predominant adenocarcinoma/invasive mucinous adenocarcinoma (hazard ratio, 1.684; 95% confidence interval, 1.330-2.132; P < .001), and pathologic stage II and III (hazard ratio, 1.417; 95% confidence interval, 1.115-1.801; P = .004). Patients with EGFR mutations developed significantly more brain (hazard ratio, 1.827; 95% confidence interval, 1.213-2.766; P = .004) and bone (hazard ratio, 1.724; 95% confidence interval, 1.131-2.631; P = .011) metastases compared with the wild-type cohort.

CONCLUSIONS

EGFR mutation was a strong poor prognostic factor in patients with radiologic solid, histologic acinar pattern-predominant adenocarcinoma/papillary pattern-predominant adenocarcinoma/invasive mucinous adenocarcinoma, and pathologic stage II and III lung adenocarcinomas. After surgery, distinct metastatic patterns were revealed according to EGFR mutation status. These findings have implications for the upcoming new lung cancer staging system.

The prognostic value of Kirsten rat sarcoma viral oncogene homolog mutations in resected lung adenocarcinoma differs according to clinical features

BACKGROUND

The ninth edition of lung cancer staging system recommends that specific driver mutations should be considered as prognostic factors in survival models. This study comprehensively investigated the prognostic value of Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation in patients with resected lung adenocarcinomas according to different clinicopathologic and radiologic characteristics.

METHODS

In total, 1464 patients with completely resected primary lung adenocarcinomas were examined for KRAS mutations from November 2008 to March 2015. Age, sex, smoking status, performance status, tumor-node-metastasis stage, radiologic features, and histologic subtypes were collected. Competing risk model was used to estimate the cumulative incidence rate of recurrence. Cox regression multivariable analyses on recurrence-free survival (RFS) and overall survival (OS) were performed.

RESULTS

KRAS mutations were more frequent in male subjects (P < .001), current/former smokers (P < .001), invasive mucinous adenocarcinoma (P < .001), and solid tumors (P < .001). In general, KRAS-mutated patients had greater cumulative recurrence rate (hazard ratio [HR], 1.95; 95% confidence interval [CI], 1.23-3.08; P < .001) and worse overall survival (OS; HR, 1.88; 95% CI, 1.23-2.87; P < .001) than KRAS wild-type patients. The OS (P < .001) of patients harboring KRAS-G12C/V mutations was shorter than that of other KRAS-mutated patients. Cox multivariable analyses demonstrated that KRAS mutations were independently associated with worse RFS (HR, 5.34; 95% CI, 2.53-11.89; P = .001) and OS (HR, 2.63; 95% CI, 1.03-6.76; P = .044) in part-solid lung adenocarcinomas. For stage I patients, Cox multivariable analyses revealed that KRAS mutation was an independent risk factor for RFS (HR, 2.05; 95% CI, 1.19-3.56; P = .010) and OS (HR, 2.38; 95% CI, 1.29-4.40; P = .005).

CONCLUSIONS

In this study, we revealed that KRAS mutations was an independent prognostic factor in part-solid tumors and in stage I lung adenocarcinomas. These findings may contribute to the ninth edition of lung cancer staging project.

Evolutionary Action Score of TP53 Enhances the Prognostic Prediction for Stage I Lung Adenocarcinoma

Stage I lung adenocarcinoma usually has a good prognosis after surgery. However, some patients do suffer disease recurrence during follow-up. Here, we report the prognostic value of evolutionary action score of TP53, which calculates the functional prediction of TP53, in patients with stage I lung adenocarcinoma. From January 2011 to August 2013, 83 patients with a complete follow-up history (36 with a disease recurrence and 47 without recurrence during follow-up) who were pathologically confirmed stage I lung adenocarcinoma were included. Whole-exome sequencing were performed on those paired tumor-normal specimens. Evolutionary action score of TP53 (EAp53) was calculated and patients were divided into groups according to their TP53 mutational status. Tumor mutational burden and survival analyses were performed to assess the prognostic value of EAp53. TP53 mutation was identified in 31 patients (37.3%). Of them, 11 were high-risk point mutations, 9 were low-risk point mutations, and 11 were truncating mutations. The high-risk group showed a poorer recurrence-free survival compared with the low-risk group (P = 0.046) and the wild-type group (P = 0.007). In multivariable analysis, the high-risk/truncating group showed a poorer recurrence-free survival (P = 0.007) and overall survival (P = 0.009) compared with the low-risk/wild-type group. Moreover, tumor mutational burden was higher in the high-risk/truncating group (P < 0.001). EAp53 is of prognostic value in patients with stage I lung adenocarcinoma. The mutational type of TP53 should be paid attention to when predicting the prognosis of patients with stage I lung adenocarcinoma.

Prognostic value and therapeutic implications of expanded molecular testing for resected early stage lung adenocarcinoma

OBJECTIVES

This study aimed to evaluate the prognostic and potential therapeutic value of expanded molecular testing of resected early-stage lung ACA.

METHODS

We analyzed 324 patients who underwent lobectomy and lymphadenectomy for clinical Stage I&II lung ACA between 2011-2017. Molecular testing was routinely performed, first by PCR-based Sanger sequencing and FISH and then expanded to a 20 and then 50-gene next generation sequencing (NGS) panel. The frequency of mutations by testing method and their association with disease-free (DFS) and overall survival (OS) were tested.

RESULTS

A total of 241 patients (74.4%) had at least one somatic mutation detected, with KRAS exon 2 (38.1%) and EGFR (17.9%) being the most common. TP53 was the most frequent co-existing mutation. Detection of at least one mutation increased from 49% with selective PCR/FISH testing to 82% with limited NGS/FISH, and 91% with extended NGS/FISH (p < 0.001). The rate of actionable mutations increased from 18% to 32% and 45% with expansion of molecular testing, respectively (p = 0.001). Using NGS, an additional 10 cases with EGFR mutations, and other rare mutations were found, including BRAF (5.9%), MET (5.6%), ERBB2 (4.1%), PIK3CA (2.3%), and DDR2 (2.1%). The expansion of FISH testing resulted in one additional detection of ROS1 and RET (1%) rearrangement. KRAS mutation was associated with worse DFS (HR 1.87; 95%CI 1.14-3.06) and OS (HR 2.09; 95%CI 1.11-3.92). BRAF mutation detected in NGS tested patients was also associated with decreased DFS (HR3.80; 95%CI 1.46-9.89) and OS (HR 7.37; 95%CI 2.36-22.99) on multivariate analysis.

CONCLUSION

The expansion of molecular testing has resulted in a substantial increase in the detection of potentially therapeutically significant mutations in resected early-stage ACA. KRAS and BRAF mutation status by NGS was prognostic for relapse and survival. These data emphasize opportunities for clinical trials in a growing number surgical ACA patients with available targeted therapies.

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

BACKGROUND

Small-cell lung cancer (SCLC) is a malignant cancer with the ability to metastasize quickly. The relationship between tumor size and the distant metastasis patterns of Extensive-Stage Small Cell Lung Cancer (ES-SCLC) has not been reported.

OBJECTIVES

The aim of this study was to determine the different distant metastasis patterns as they related to tumor size in ES-SCLC.

PATIENTS AND METHODS

We used Surveillance, Epidemiology, and End Results (SEER) population-based data collected from 2010 through 2013 to identify 11058 ES-SCLC patients with definite evidence of distant metastases. Multivariate logistic regression analysis was used to demonstrate the association between tumor size and distant metastasis patterns including bone, liver, brain, and lung metastases. Age, race, sex, and N stage were also selected in the logistic regression model.

RESULTS

Subtle differences in metastasis patterns were found among patients based on different tumor sizes. Patients with tumors 3-7 cm have a higher risk of bone metastasis compared with those that have tumors ≤3 cm (OR 1.165, 95% CI [1.055-1.287], P = 0.003) and patients with tumors ≥7 cm have a higher risk of lung metastasis (OR 1.183, 95% CI [1.039-1.347], P = 0.011). In addition, patients with tumors ≥7 cm had a lower risk of brain metastasis and liver metastasis than patients with tumors ≤3 cm (OR 0.799, 95% CI [0.709-0.901], P < 0.001; OR 0.747, 95% CI [0.672-0.830], P < 0.001). Interestingly, there was no correlation between a larger tumor and a higher risk of metastasis. However, the tumor metastasis pattern did have some correlation with age, gender, race and N-status.

CONCLUSION

The pattern of distant metastasis of ES-SCLC is related to the tumor size and the tumor size is indicative of the metastatic site. Larger tumor sizes did not correlate with a higher risk of distant metastasis, but the size is related to the pattern of distant metastasis. The study of different distant metastasis patterns based on tumor size and other clinical features (e.g., age, race, sex, and N stage) in ES-SCLC is clinically valuable.

Prognostic Impact of the Number of Metastatic Lymph Nodes on the Eighth Edition of the TNM Classification of NSCLC

INTRODUCTION

Current nodal staging of NSCLC is defined only by anatomical location of lymph nodes (LNs). The aim of this study is to investigate prognostic impacts of the number of metastatic LNs by stratifying the present N classification.

METHODS

We analyzed 1989 patients with NSCLC who underwent complete resection by lobectomy or pneumonectomy involving dissection of the hilar and mediastinal LNs from 2003 to 2012. We classified patients according to the number of metastatic nodes and stations and their current category of metastatic LNs. We analyzed the overall survival in each group and assessed the survival impact of the combination of them.

RESULTS

In the multivariate analyses of all patients, pathological N1 (pN1) (reference [ref.] pN2) and single-node metastasis (ref. multiple-node) were independent prognostic factors whereas single-station metastasis (ref. multiple-station) was not. In the respective multivariate analyses of pN1 and pN2 disease, multiple-node metastasis (ref. single-node) was an independent prognostic factor in pN1 disease (hazard ratio: 1.41, p = 0.04), but not in pN2 disease. Investigation for other boundaries of a number of metastatic LNs of three or more (ref. one to two), four or more (ref. one to three), and five or more (ref. one to four) found that all of them were independent prognostic factors in both pN1 and pN2 diseases.

CONCLUSIONS

The number of metastatic LNs had a strong impact on survival in addition to the current pN classification. To clarify its prognostic impact, further study is needed in other datasets including patients treated by nonsurgical modalities.