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

GABRA3 promotes lymphatic metastasis in lung adenocarcinoma by mediating upregulation of matrix metalloproteinases

Tumor metastasis is the main reason for the poor prognosis of lung cancer patients. The GABAA receptor subunit GABR_A3 is reportedly upregulated in lung cancer. Herein, we show that high GABR_A3 protein expression in lung adenocarcinoma correlated positively with disease stage, lymphatic metastasis status and poor patient survival. In addition, GABR_A3 induced MMP-2 and MMP-9 expression through activation of the JNK/AP-1 signaling pathway, which enhanced lymphatic metastasis by lung adenocarcinoma both in vitro and in vivo. These results indicate that GABR_A3 promotes lymph node metastasis and may thus be an effective therapeutic target for anticancer treatment.

Prognostic value of total lesion glycolysis and metabolic active tumor volume in non-small cell lung cancer

INTRODUCTION

To predict the outcome of patients with non-small cell lung cancer (NSCLC) the currently used prognostic system (TNM) is not accurate enough. The prognostic significance of the SUV_max measured by PET remains controversial. This study aims to evaluate the prognostic value in overall survival and progression free survival of SUV_max, the total lesion glycolysis (TLG) and the mean metabolic active volume (MATV) in NSCLC.

METHODS

We retrospectively reviewed 105 patients (72 males, 33 females) with a new diagnosis of NSCLC (TNM stage I: 27.6%, II: 10.5%, III: 40.9% and IV: 21.0%) who underwent scanning with a PET/CT. For VOI definition a semi-automatic delineation tool was used. On PET images SUV_max, SUV_mean and MATV of the primary tumor and the whole tumor burden were measured. TLG and MATV were measured by using a threshold of 50% of SUV_max.

RESULTS

OS and PFS are found to be higher in patients with low-SUV_Tmax and low-TLG_T values. OS and PFS were significantly higher for low-SUV_WTBmax, low-MATV_WTB and low-TLG_WTB values of the whole-tumor burden. Multivariate analysis of the whole-tumor burden revealed that the most important prognostic factors for OS are high MATV_WTB and TLG_WTB values, increasing stage and male gender. TLG_WTB and stage are also independent prognosticators in PFS.

CONCLUSION

Only whole-body TLG is of prognostic value in NSCLC for both OS and PFS. Stratification of patients by TLG_WTB might complement outcome prediction but the TNM stage remains the most important determinant of prognosis.

MICROABSTRACT

In order to predict the outcome of patients with non-small cell lung cancer (NSCLC) the currently used prognostic system (TNM) is not accurate enough. The prognostic significance of the standard uptake value (SUV) measured by PET remains controversial. This study aims to evaluate the prognostic value in overall survival (OS) and progression free survival (PFS) of the standard uptake value (SUV), the total lesion glycolysis (TLG) and the mean metabolic active volume (MATV) in NSCLC. The study reveals that TLG of the whole-tumor burden is an independent prognostic factor for OS and PFS in patients with NSCLC.

High expression of IRE1 in lung adenocarcinoma is associated with a lower rate of recurrence

Objective

Recent reports have shown that endoplasmic reticulum stress is associated with cancer. However, the impacts of endoplasmic reticulum stress on the prognosis of lung cancer are unknown. Therefore, in this study, we sought to reveal the relationship between the expression of endoplasmic reticulum stress-related genes (endoplasmic reticulum oxidoreductase 1L, protein kinase RNA-like endoplasmic reticulum kinase, activating transcription factor 6 and inositol-requiring kinase 1) and the outcome of lung adenocarcinoma.

Methods

One hundred and twenty-six patients with surgically resected lung adenocarcinomas were subjected to an endoplasmic reticulum stress-related mRNA expression analysis using quantitative RT-PCR. The following parameters were analyzed for all the study patients: age, sex, disease stage, smoking status, lymph node invasion (ly), vascular invasion (v) and EGFR mutation status. We assigned patients to either a high-expression group or a low-expression group according to the expression levels of endoplasmic reticulum stress-related genes.

Results

High expressions of endoplasmic reticulum stress-related genes were observed in patients with lower stages of lung adenocarcinoma and minimal vascular invasion. A Kaplan–Meier analysis showed significant differences in recurrence-free survival and overall survival between high-expression group and low-expression group. High inositol-requiring kinase 1 expression was an independent predictor of recurrence-free survival among patients with lung adenocarcinoma (hazard ratio, 0.396; 95% confidence interval, 0.188–0.834; P = 0.015).

Conclusions

Inositol-requiring kinase 1 may be a useful biomarker to predict recurrence in surgically resected lung adenocarcinoma patients.

Adjuvant Chemotherapy Does Not Improve Survival for Lung Cancer With Chest Wall Invasion

BACKGROUND

The National Comprehensive Cancer Network recommends adjuvant chemotherapy (AC) for patients with completely resected (R0) pT3N0M0 non-small cell lung cancer (NSCLC) with chest wall invasion. There is minimal evidence to support this recommendation. We aimed to determine whether there is a survival benefit with AC and if so whether it depends on tumor size.

METHODS

Patients who had undergone R0 resection for pT3N0M0 NSCLC with chest wall invasion were identified in the National Cancer Data Base from 2008 to 2012. Multivariable Cox proportional hazards modeling was used to determine independent predictors of overall mortality.

RESULTS

Of 247 patients, 92 (37.3%) received AC. The median tumor size without AC was 42 mm (interquartile range [IQR], 30 to 60 mm) and with AC was 56 mm (IQR, 40 to 70 mm; p = 0.003). Median follow-up was 21.7 months (IQR, 10.6 to 29.1 months). There was no difference in AC based on tumor grade, but the 3-year overall survival for those with well-differentiated or moderately differentiated tumors was 68% versus 55% in those with poorly differentiated or undifferentiated tumors. Three-year overall survival for the entire cohort was 59%. There was no difference in overall survival between those who received AC and those who did not. The only significant predictor of mortality in both univariable and multivariable analyses was poorly or undifferentiated tumor grade.

CONCLUSIONS

For patients with pT3N0M0 NSCLC with chest wall invasion there is no survival benefit with AC, regardless of tumor size or grade, after R0 resection. Poorly differentiated or undifferentiated tumor grade is an independent predictor of mortality.

Prognostic implication of EGFR gene mutations and histological classification in patients with resected stage I lung adenocarcinoma

Introduction

The prognostic value of epidermal growth factor receptor (EGFR) mutations and the correlation between EGFR mutations and the new International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) histological classification remain controversial. The current study aimed to investigate the pure prognostic role of EGFR mutations in treatment-naïve patients with resected stage I lung adenocarcinoma.

Methods

We retrospectively reviewed 373 patients with stage I pulmonary non-small-cell lung cancer who underwent complete surgical resection between January 2010 and May 2014. The tumors were classified according to IASLC/ATS/ERS criteria. EGFR mutation status was determined by established methods.

Results

A total of 120 patients were included for analysis; 87 had tumors with EGFR mutations and 33 had wild-type tumors. More low- and intermediate-grade tumors had EGFR mutations, and nearly half of the high-grade tumors were wild-type (75.7% versus 46.2%, p = 0.041). Patients with low-grade tumors had significantly greater median disease-free survival (DFS) (76.8 versus 13 months, p < 0.0001) and better overall survival (OS) (median OS not reached, p = 0.0003) than those with intermediate- and high-grade tumors. Tumor recurrence was 41.4% and 30.3% in mutant and wild-type patients. The 5-years survival rate was 54% and 71.2%. Multivariate analysis revealed that the new histological classification and the pathologic stage were independent predictors of both DFS and OS. EGFR mutation status had no prognostic implications.

Conclusion

Low grade tumors according to IASLC/ATS/ERS histological classification and the pathologic stage IA tumors of resected stage I lung adenocarcinomas independently predict better DFS and OS. EGFR mutations were frequently seen in histologically low- and intermediate-grade tumors but not a prognostic factor.

An individualized gene expression signature for prediction of lung adenocarcinoma metastases

Our laboratory previously reported an individual‐level signature consisting of nine gene pairs, named 9‐GPS. This signature was developed by training on microarray expression data and validated using three independent integrated microarray data sets, with samples of stage I non‐small‐cell lung cancer after complete surgical resection. In this study, we first validated the cross‐platform robustness of 9‐GPS by demonstrating that 9‐GPS could significantly stratify the overall survival of 213 stage I lung adenocarcinoma (LUAD) patients detected with RNA‐sequencing platform in The Cancer Genome Atlas (TCGA; log‐rank P = 0.0318, C‐index = 0.55). Applying 9‐GPS to all the 423 stage I‐IV LUAD samples in TCGA, the predicted high‐risk samples were significantly enriched with clinically diagnosed metastatic samples (Fisher's exact test, P = 0.0015). We further modified the voting rule of 9‐GPS and found that the modified 9‐GPS had a better performance in predicting metastasis states (Fisher's exact test, P < 0.0001). With the aid of the modified 9‐GPS for reclassifying the metastasis states of patients with LUAD, the reclassified metastatic samples presented clearer transcriptional and genomic characteristics compared to the reclassified nonmetastatic samples. Finally, regulator network analysis identified TP53 and IRF1 with frequent genomic aberrations in the reclassified metastatic samples, indicating their key roles in driving tumor metastasis. In conclusion, 9‐GPS is a robust signature for identifying early‐stage LUAD patients with potential occult metastasis. This occult metastasis prediction was associated with clear transcriptional and genomic characteristics as well as the clinical diagnoses.

Development and validation of two prognostic nomograms for predicting survival in patients with non-small cell and small cell lung cancer

Purpose

This study aimed to construct two prognostic nomograms to predict survival in patients with non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) using a novel set of clinical parameters.

Patients and Methods

Two nomograms were developed, using a retrospective analysis of 5384 NSCLC and 647 SCLC patients seen during a 10-year period at Xiang Ya Affiliated Cancer Hospital (Changsha, China). The patients were randomly divided into training and validation cohorts. Univariate and multivariate analyses were used to identify the prognostic factors needed to establish nomograms for the training cohort. The model was internally validated via bootstrap resampling and externally certified using the validation cohort. Predictive accuracy and discriminatory capability were estimated using concordance index (C-index), calibration curves, and risk group stratification.

Results

The largest contributor to overall survival (OS) prognosis in the NSCLC nomogram was the therapeutic regimen and diagnostic method parameters, and in the SCLC nomogram was the therapeutic regimen and health insurance plan parameters. Calibration curves for the nomogram prediction and the actual observation were in optimal agreement for the 3-year OS and acceptable agreement for the 5-year OS in both training datasets. The C-index was higher for the NSCLC cohort nomogram than for the TNM staging system (0.67 vs. 0.64, P = 0.01) and higher for the SCLC nomogram than for the clinical staging system (limited vs. extensive) (0.60 vs. 0.53, P = 0.12).

Conclusion

Treatment regimen parameter made the largest contribution to OS prognosis in both nomograms, and these nomograms might provide clinicians and patients a simple tool that improves their ability to accurately estimate survival based on individual patient parameters rather than using an averaged predefined treatment regimen.

Different dissecting orders of the pulmonary bronchus and vessels during right upper lobectomy are associated with surgical feasibility and postoperative recovery for lung cancer patients

Background

Right upper lobectomy (RUL) for lung cancer with different dissecting orders involves the most variable anatomical structures, but no studies have analyzed its effects on postoperative recovery. This study compared the conventional surgical approach, VAB (dissecting pulmonary vessels first, followed by the bronchus), and the alternative surgical approach, aBVA (dissecting the posterior ascending arterial branch first, followed by the bronchus and vessels) on improving surgical feasibility and postoperative recovery for lung cancer patients.

Methods

According to the surgical approach, consecutive lung cancer patients undergoing RUL were grouped into aBVA and VAB cohorts. Their clinical, pathologic, and perioperative characteristics were collected to compare perioperative outcomes.

Results

Three hundred one patients were selected (109 in the aBVA cohort and 192 in the VAB cohort). The mean operation time was shorter in the aBVA cohort than in the VAB cohort (164 vs. 221 min, P < 0.001), and less blood loss occurred in the aBVA cohort (92 vs. 141 mL, P < 0.001). The rate of conversion to thoracotomy was lower in the aBVA cohort than in the VAB cohort (0% vs. 11.5%, P < 0.001). The mean duration of postoperative chest drainage was shorter in the aBVA cohort than in the VAB cohort (3.6 vs. 4.5 days, P = 0.001). The rates of postoperative complications were comparable (P = 0.629). The median overall survival was not arrived in both cohorts (P > 0.05). The median disease-free survival was comparable for all patients in the two cohorts (not arrived vs. 41.97 months) and for patients with disease recurrences (13.25 vs. 9.44 months) (both P > 0.05). The recurrence models in two cohorts were also comparable for patients with local recurrences (6.4% vs. 7.8%), distant metastases (10.1% vs. 8.3%), and both (1.8% vs. 1.6%) (all P > 0.05).

Conclusions

Dissecting the right upper bronchus before turning over the lobe repeatedly and dissecting veins via the aBVA approach during RUL would promote surgical feasibility and achieve comparable postoperative recovery for lung cancer patients.

Electronic supplementary material

The online version of this article (doi:10.1186/s40880-017-0220-9) contains supplementary material, which is available to authorized users.

Combining Carcinoembryonic Antigen and Platelet to Lymphocyte Ratio to Predict Brain Metastasis of Resected Lung Adenocarcinoma Patients

We aimed to evaluate the role of pretreatment carcinoembryonic antigen (CEA) and platelet to lymphocyte ratio (PLR) in predicting brain metastasis after radical surgery for lung adenocarcinoma patients. The records of 103 patients with completely resected lung adenocarcinoma between 2013 and 2014 were reviewed. Clinicopathologic characteristics of these patients were assessed in the Cox proportional hazards regression model. Brain metastasis occurred in 12 patients (11.6%). On univariate analysis, N2 stage (P = 0.013), stage III (P = 0.016), increased CEA level (P = 0.006), and higher PLR value (P = 0.020) before treatment were associated with an increased risk of developing brain metastasis. In multivariate model analysis, CEA above 5.2 ng/mL (P = 0.014) and PLR ≥ 120 (P = 0.036) remained as the risk factors for brain metastasis. The combination of CEA and PLR was superior to CEA or PLR alone in predicting brain metastasis according to the receiver operating characteristic (ROC) curve analysis (area under ROC curve, AUC 0.872 versus 0.784 versus 0.704). Pretreatment CEA and PLR are independent and significant risk factors for occurrence of brain metastasis in resected lung adenocarcinoma patients. Combining these two factors may improve the predictability of brain metastasis.

Integration of multiple "OMIC" biomarkers: A precision medicine strategy for lung cancer

More than half of all new lung cancer diagnoses are made in patients with locally advanced or metastatic disease, at which point therapeutic options are scarce. It is anticipated, however, that the widespread use of Low-Dose Computed Tomography (LDCT) screening, will lead to a greater proportion of lung cancers being diagnosed at an early, operable, stage. Still, the overall rate of recurrence for surgically treated Stage I lung cancer patients is up to 30% within 5 years of diagnosis. Thus, the identification and clinical application of biomarkers of early stage lung cancer are a pressing medical need. The integrative analysis of "omic," clinical and epidemiological data for single patients is a core principle of precision medicine. Through rigorous bioinformatics and statistical analyses we have identified biomarkers of early-stage lung cancer based on DNA methylation, expression of mRNA and miRNA, inflammatory cytokines, and urinary metabolites. Beyond a more comprehensive understanding of the molecular taxonomy of lung cancer, these biomarkers can have very practical implications in the context of unmet clinical needs of early stage lung cancer patients: First, current guidelines for LDCT screening broadly include individuals based on age and history of heavy smoking. Tumor-derived circulating biomarkers in the blood and urine associated with lung cancer risk could narrow and prioritize individuals for LDCT screening. Second, a high number of nodules are identified by LDCT, of which fewer than 5% are finally diagnosed as lung cancer. Biomarkers may help discriminate malignant nodules from benign or indolent lesions. Third, the expected rise in the numbers of lung cancer patients diagnosed at an early stage will necessitate new treatment options. Circulating, urinary and tissue-based biomarkers that molecularly categorize Stage I patients after tumor resection can help identify high-risk patients who may benefit from adjuvant chemotherapy or innovative immunotherapy regimens.

MiR-372-3p promotes cell growth and metastasis by targeting FGF9 in lung squamous cell carcinoma

The aim of this study was to study the role of miR‐372‐3p in lung squamous cell carcinoma (LSCC) cell proliferation and invasion by suppressing FGF9. RT‐PCR was used to determine miR‐372‐3p and FGF9 mRNA expression in tissues and cells. Western blot was used to determine FGF9 expression in tissues and NCI‐H520 cell line. Dual luciferase reporter gene assay was conducted to confirm that FGF9 can be directly targeted by miR‐372‐3p. MTT, colony formation assays were conducted to investigate the effects of ectopic miR‐372‐3p and FGF9 expression on NCI‐H520 cell growth. Flow cytometry was used to analyze the influence of miR‐372‐3p and FGF9 expression on cell cycle distribution and apoptosis. Transwell assay was also conducted to see the effects of miR‐372‐3p and FGF9 expression on NCI‐H520 cell invasiveness. MiR‐372‐3p was found significantly overexpressed in both LSCC tissues and cell lines, whereas FGF9 mRNA was found underexpressed in LSCC tissues. MiR‐372‐3p directly bound to wild‐type FGF9 mRNA 3′UTR, therefore led to the reduction in FGF9 expression. The upregulation of FGF9 or the downregulation of miR‐372‐3p substantially retarded LSCC cell growth, mitosis, and invasion. MiR‐372‐3p enhanced LSCC cell proliferation and invasion through inhibiting FGF9.

miRNA-221 acts as an oncogenic role by directly targeting TIMP2 in non-small-cell lung carcinoma

MicroRNA-221 (miRNA-221) plays an important role in occurrence and development of tumor. However, expression pattern and role of miRNA-221 in the non-small-cell lung carcinoma (NSCLC) remains poorly understood. In the current study, we explored the roles and the underlying mechanism of miR-221 in NSCLC by gain and loss of function analysis. We found that the expression of miRNA-221 is significantly higher in NSCLC tissues and NSCLC cells compared to normal tissues and cells, respectively (P<0.05). NSCLC cell lines SPCA1 and H1299 were transfected with miRNA-221 mimic or inhibitor, respectively, and then performed to analysis. Experiments indicated that upregulation of miRNA-221 promotes cell proliferation, cell cycle, migration, invasion in SPCA1 cells, while downregulation of miRNA-221 exhibited the opposite role. Tissue inhibitor of metallopeptidases-2 (TIMP2) mRNA or protein levels were downregulated after miRNA-221 overexpression in SPCA1 and H1299 cells, respectively. Furthermore, TIMP2 was identified as a direct target of miRNA-221. In summary, our results indicate that miRNA-221 promotes NSCLC growth and invasion through repressing the expression of TIMP2, which suggest that inhibition of miRNA-221 could be a potential target for the treatment of NSCLC.

Methylated DNA/RNA in Body Fluids as Biomarkers for Lung Cancer

DNA/RNA methylation plays an important role in lung cancer initiation and progression. Liquid biopsy makes use of cells, nucleotides and proteins released from tumor cells into body fluids to help with cancer diagnosis and prognosis. Methylation of circulating tumor DNA (ctDNA) has gained increasing attention as biomarkers for lung cancer. Here we briefly introduce the biological basis and detection method of ctDNA methylation, and review various applications of methylated DNA in body fluids in lung cancer screening, diagnosis, prognosis, monitoring and treatment prediction. We also discuss the emerging role of RNA methylation as biomarkers for cancer.

Concurrent chemoradiation with cisplatin and vinorelbine followed by consolidation with oral vinorelbine in locally advanced non-small cell lung cancer (NSCLC): the phase II CONCAVE study

AIM

Despite recent advances, outcomes for patients with stage III non-small cell lung cancer (NSCLC) with concurrent chemoradiotherapy (CRT) remain poor. We evaluated the combination of ciplatin/vinorelbine and concurrent thoracic radiotherapy followed by consolidation oral vinorelbine in this phase II study.

METHODS

Eligible patients with unresectable stage III NSCLC received cisplatin intravenous (IV) 40 mg/m² and vinorelbine IV 20 mg/m² on days 1, 8, 22 and 29 concurrent with thoracic radiotherapy of 60 Gy in 30 fractions. Four to eight weeks later, oral vinorelbine 60 mg/m² day 1 and 8 every 3 weeks was given for 3 cycles. The primary end point was overall response rate (ORR). Secondary end points were safety, quality of life, progression-free survival (PFS) and overall survival (OS).

RESULTS

Twenty-seven eligible patients were enrolled from December 2007 to June 2010 before the trial was prematurely closed due to toxicity concerns. The median age was 63 years (range, 42-71), 56% were male, 52% ECOG 0 and 52% stage IIIa. The ORR was 81% (including 37% complete response rate) and disease control rate of 93%. The median PFS was 11 months and median OS was 26 months. Consolidation vinorelbine was associated with significant grade 3/4 toxicity (68%) including grade 3-5 febrile neutropenia (27%) and respiratory infections (36%) including two deaths in the consolidation phase (9%).

CONCLUSIONS

Consolidation oral vinorelbine after CRT was associated with significant toxicity. Overall, this regimen achieved a high ORR and survival results comparable to other CRT protocols but the significant toxicity precludes further evaluation of this approach.

External Validation of a Survival Nomogram for Non-Small Cell Lung Cancer Using the National Cancer Database

PURPOSE

Survival nomograms offer individualized predictions using a more diverse set of factors than traditional staging measures, including the American Joint Committee on Cancer Tumor Node Metastasis (AJCC TNM) Staging System. A nomogram predicting overall survival (OS) for resected, non-metastatic non-small cell lung cancer (NSCLC) has been previously derived from Asian patients. The present study aims to determine the nomogram's predictive capability in the US using the National Cancer Database (NCDB).

METHODS

This was a retrospective review of adults with resected, non-metastatic NSCLC entered into the NCDB between 2004 and 2012. Concordance indices and calibration plots analyzed discrimination and calibration, respectively. Multivariate analysis was also used.

RESULTS

A total of 57,313 patients were included in this study. The predominant histologies were adenocarcinoma (48.2%) and squamous cell carcinoma (31.3%), and patients were diagnosed with stage I-A (38.3%), stage I-B (22.7%), stage II-A (14.2%), stage II-B (11.5%), and stage III-A (13.3%). Median OS was 74 months. 1-, 3- and 5-year OS rates were 89.8% [95% confidence interval (CI) 89.5-90.0%], 71.1% (95% CI 70.7-71.6%), and 55.7% (95% CI 54.7-56.6%), respectively. The nomogram's concordance index (C-index) was 0.804 (95% CI 0.792-0.817). AJCC TNM staging demonstrated higher discrimination (C-index 0.833, 95% CI 0.821-0.840).

CONCLUSIONS

The nomogram's individualized estimates accurately predicted survival in this patient collective, demonstrating higher discrimination in this population than in the developer's cohorts. However, the generalized survival estimates provided by traditional staging demonstrated superior predictive capability; therefore, AJCC TNM staging should remain the gold standard for the prognostication of resected NSCLC in the US.

Pretreatment Neutrophil to Lymphocyte Ratio Is Associated with Poor Survival in Patients with Stage I-III Non-Small Cell Lung Cancer

Background

Neutrophil-to-lymphocyte ratio (NLR) has been shown to be a prognostic indicator in several types of cancer. We aimed to investigate the association between NLR and survival in surgery-treated non-small cell lung cancer (NSCLC) patients.

Study Design

This large retrospective study included 1,245 patients who underwent initial surgery for stage I–III NSCLC at The University of Texas MD Anderson Cancer Center between December 2002 and November 2010. We analyzed the relationship of NLR with clinicopathological variables, local recurrence-free survival (LRFS), distant recurrence-free survival (DRFS), recurrence-free survival (RFS), overall survival (OS), and disease-specific survival (DSS) in patients with high or low NLR using Kaplan-Meier method. Hazard ratios (HRs) with 95% confidence intervals (CIs) were used to assess the prognostic strength of NLR.

Results

There was a statistically significant association between the pretreatment NLR and histology type (P = 0.003) and tumor grade (P = 0.028). At a median follow-up time of 50.6 months, high NLR was associated with reduced DRFS (P = 0.011), OS (P < 0.0001) and DSS (P = 0.004); it was not associated with LRFS and RFS. Multivariable Cox analysis further revealed that NLR (P = 0.027), pathologic stage (P < 0.0001) and lymphovascular invasion (P < 0.0001) were strong independent predictors for DRFS. NLR was also an independent marker predicting poor OS (P = 0.002) and DSS (P = 0.017).

Conclusion

The pretreatment NLR can serve as a biomarker to predict distant recurrence and death in stage I–III NSCLC patients. Combination of NLR and pathologic stage can better predict the OS and DSS in stage I-II NSCLC patients.

Liquid biopsy in early stage lung cancer

Lung cancer is the leading cause of cancer-associated deaths worldwide. Surgery is the standard treatment for early-stage non-small cell lung cancer (NSCLC). However, 30% to 80% of these patients will die within 5 yearS of diagnosis. Circulating cell-free DNA (cfDNA) harbors pathologic characteristics of the original tumor, such as gene mutations or epigenetic alterations. Analysis of cfDNA has revolutionized the clinical care of advanced lung cancer patients undergoing targeted therapies. However, the low concentration of cfDNA in the blood of early-stage NSCLC patients has hampered its use for management of early disease. Continuing development of more specific and sensitive techniques for detection and analysis of cfDNA will soon enable its leverage in early stage and, perhaps, even screening settings. Therefore, cfDNA analysis may become a tool used for routine NSCLC diagnosis and for monitoring tumor burden, as well as for identifying hidden residual disease. In this review, we will focus on the current evidence of cfDNA in patients with early-stage NSCLC, new and upcoming approaches to identify circulating-tumor biomarkers, their clinical applications and future directions.

Methylation analyses in liquid biopsy

Lung cancer is the leading cause of cancer-related deaths worldwide. Recent implementation of low-dose computed tomography (LDCT) screening is predicted to lead to diagnosis of lung cancer at an earlier stage, with survival benefit. However, there is still a pressing need for biomarkers that will identify individuals eligible for screening, as well as improve the diagnostic accuracy of LDCT. In addition, biomarkers for prognostic stratification of patients with early stage disease, and those that can be used as surrogates to monitor tumor evolution, will greatly improve clinical management. Molecular alterations found in the DNA of tumor cells, such as mutations, translocations and methylation, are reflected in DNA that is released from the tumor into the bloodstream. Thus, in recent years, circulating tumor DNA (ctDNA) has gained increasing attention as a noninvasive alternative to tissue biopsies and potential surrogate for the entire tumor genome. Activating gene mutations found in ctDNA have been proven effective in predicting response to targeted therapy. Analysis of ctDNA is also a valuable tool for longitudinal follow-up of cancer patients that does not require serial biopsies and may anticipate the acquisition of resistance. DNA methylation has also emerged as a promising marker for early detection, prognosis and real-time follow-up of tumor dynamics that is independent of the genomic composition of the primary tumor. This review summarizes the various investigational applications of methylated ctDNA in lung cancer reported to date. It also provides a brief overview of the technologies for analysis of DNA methylation in liquid biopsies, and the challenges that befall the implementation of methylated ctDNA into routine clinical practice.

Refining Prognosis in Lung Cancer: A Report on the Quality and Relevance of Clinical Prognostic Tools

INTRODUCTION

Accurate, individualized prognostication for lung cancer patients requires the integration of standard patient and pathologic factors, biological, genetic, and other molecular characteristics of the tumor. Clinical prognostic tools aim to aggregate information on an individual patient to predict disease outcomes such as overall survival, but little is known about their clinical utility and accuracy in lung cancer.

METHODS

A systematic search of the scientific literature for clinical prognostic tools in lung cancer published from January 1, 1996 to January 27, 2015 was performed. In addition, web-based resources were searched. A priori criteria determined by the Molecular Modellers Working Group of the American Joint Committee on Cancer were used to investigate the quality and usefulness of tools. Criteria included clinical presentation, model development approaches, validation strategies, and performance metrics.

RESULTS

Thirty-two prognostic tools were identified. Patients with metastases were the most frequently considered population in non-small-cell lung cancer. All tools for small-cell lung cancer covered that entire patient population. Included prognostic factors varied considerably across tools. Internal validity was not formally evaluated for most tools and only 11 were evaluated for external validity. Two key considerations were highlighted for tool development: identification of an explicit purpose related to a relevant clinical population and clear decision points and prioritized inclusion of established prognostic factors over emerging factors.

CONCLUSIONS

Prognostic tools will contribute more meaningfully to the practice of personalized medicine if better study design and analysis approaches are used in their development and validation.

Impact of sex on prognostic host factors in surgical patients with lung cancer

BACKGROUND

Lung cancer has markedly poorer survival in men. Recognized important prognostic factors are divided into host, tumour and environmental factors. Traditional staging systems that use only tumour factors to predict prognosis are of limited accuracy. By examining sex-based patterns of disease-specific survival in non-small cell lung cancer patients, we determined the effect of sex on the prognostic value of additional host factors.

METHODS

Two cohorts of patients treated surgically with curative intent between 2000 and 2009 were utilized. The primary cohort was from Melbourne, Australia, with an independent validation set from the American Surveillance, Epidemiology and End Results (SEER) database. Univariate and multivariate analyses of validated host-related prognostic factors were performed in both cohorts to investigate the differences in survival between men and women.

RESULTS

The Melbourne cohort had 605 patients (61% men) and SEER cohort comprised 55 681 patients (51% men). Disease-specific 5-year survival showed men had statistically significant poorer survival in both cohorts (P < 0.001); Melbourne men at 53.2% compared with women at 68.3%, and SEER 53.3% men and 62.0% women were alive at 5 years. Being male was independently prognostic for disease-specific mortality in the Melbourne cohort after adjustment for ethnicity, smoking history, performance status, age, pathological stage and histology (hazard ratio = 1.54, 95% confidence interval: 1.10-2.16, P = 0.012).

CONCLUSIONS

Sex differences in non-small cell lung cancer are important irrespective of age, ethnicity, smoking, performance status and tumour, node and metastasis stage. Epidemiological findings such as these should be translated into research and clinical paradigms to determine the factors that influence the survival disadvantage experienced by men.

Prognostic significance of CT-emphysema score in patients with advanced squamous cell lung cancer

BACKGROUND

Although emphysema is a known independent risk factor of lung cancer, no study has addressed the prognostic impact of computed tomography (CT)-emphysema score in advanced stage lung cancer.

METHODS

For 84 consecutive patients with stage IIIB and IV squamous cell lung cancer that underwent palliative chemotherapy, severity of emphysema was semi-quantitatively scored using baseline chest CT images according to the Goddard scoring system (possible scores range, 0-24). The cutoff of high CT-emphysema score was determined using the maximum chi-squared test and the prognostic significance of the high CT-emphysema score was evaluated using Kaplan-Meier analysis and Cox proportional hazards analysis.

RESULTS

The median CT-emphysema score was 5 (range, 0-22). Patients with a high CT-emphysema score (≥4) tended to have poorer overall survival (OS) (median: 6.3 vs. 13.7 months) than those with a score of <4 (P=0.071). Multivariable analysis revealed that a higher CT-emphysema score was a significant independent prognostic factor for poor OS [hazard ratio (HR) =2.06; 95% confidence interval (CI), 1.24-3.41; P=0.005), along with no response to first-line therapy (P=0.009) and no second-line therapy (P<0.001).

CONCLUSIONS

CT-emphysema score is significantly associated with poor prognosis in patients with advanced squamous cell lung cancer.

18F-alfatide PET/CT may predict short-term outcome of concurrent chemoradiotherapy in patients with advanced non-small cell lung cancer

Purpose

The study aims to investigate the role of ¹⁸F-alfatide positron emission tomography/computed tomography (PET/CT) in predicting the short-term outcome of concurrent chemoradiotherapy (CCRT) in patients with advanced non-small cell lung cancer (NSCLC).

Methods

Eighteen patients with advanced NSCLC had undergone ¹⁸F-alfatide PET/CT scans before CCRT and PET/CT parameters including maximum and mean standard uptake values (SUV_max/SUV_mean), peak standard uptake values (SUV_peak) and tumor volume (TV_PET and TV_CT) were obtained. The SUV_max of tumor and normal tissues (lung, blood pool and muscle) were measured, and their ratios were denoted as T/NT (T/NT_lung, T/NT_blood and T/NT_muscle). Statistical methods included the Two-example t test, Wilcoxon rank-sum test, Receiver-operating characteristic (ROC) curve analysis and logistic regression analyses.

Results

We found that SUV_max, SUV_peak, T/NT_lung, T/NT_blood and T/NT_muscle were higher in non-responders than in responders (P = 0.0024, P = 0.016, P < 0.001, P = 0.003, P = 0.004). According to ROC curve analysis, the thresholds of SUV_max, SUV_peak, T/NT_lung, T/NT_blood and T/NT_muscle were 5.65, 4.46, 7.11, 5.41, and 11.75, respectively. The five parameters had high sensitivity, specificity and accuracy in distinguishing non-responders and responders. Multivariate logistic regression analyses showed that T/NT_lung was an independent predictor of the short-term outcome of CCRT in patients with advanced NSCLC (P = 0.032).

Conclusions

¹⁸F-alfatide PET/CT may be useful in predicting the short-term outcome of CCRT in patients with advanced NSCLC.

A Two-Gene Prognostic Classifier for Early-Stage Lung Squamous Cell Carcinoma in Multiple Large-Scale and Geographically Diverse Cohorts

INTRODUCTION

There are no validated molecular methods that prospectively identify patients with surgically resected lung squamous cell carcinoma (SCC) at high risk for recurrence. By focusing on the expression of genes with known functions in development of lung SCC and prognosis, we sought to develop a robust prognostic classifier of early-stage lung SCC.

METHODS

The expression of 253 genes selected by literature search was evaluated in microarrays from 107 stage I/II tumors. Associations with survival were evaluated by Cox regression and Kaplan-Meier survival analyses in two independent cohorts of 121 and 91 patients with SCC, respectively. A classifier score based on multivariable Cox regression was derived and examined in six additional publicly available data sets of stage I/II lung SCC expression profiles (n = 358). The prognostic value of this classifier was evaluated in meta-analysis of patients with stage I/II (n = 479) and stage I (n = 326) lung SCC.

RESULTS

Dual specificity phosphatase 6 gene (DUSP6) and actinin alpha 4 gene (ACTN4) were associated with prognostic outcome in two independent patient cohorts. Their expression values were utilized to develop a classifier that identified patients with stage I/II lung SCC at high risk for recurrence (hazard ratio [HR] = 4.7, p = 0.018) or cancer-specific mortality (HR = 3.5, p = 0.016). This classifier also identified patients at high risk for recurrence (HR = 2.7, p = 0.008) or death (HR = 2.2, p = 0.001) in publicly available data sets of stage I/II and in meta-analysis of stage I patients.

CONCLUSIONS

We have established and validated a prognostic classifier to inform clinical management of patients with lung SCC after surgical resection.

Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer

Purpose To develop a radiomics signature to estimate disease-free survival (DFS) in patients with early-stage (stage I-II) non-small cell lung cancer (NSCLC) and assess its incremental value to the traditional staging system and clinical-pathologic risk factors for individual DFS estimation. Materials and Methods Ethical approval by the institutional review board was obtained for this retrospective analysis, and the need to obtain informed consent was waived. This study consisted of 282 consecutive patients with stage IA-IIB NSCLC. A radiomics signature was generated by using the least absolute shrinkage and selection operator, or LASSO, Cox regression model. Association between the radiomics signature and DFS was explored. Further validation of the radiomics signature as an independent biomarker was performed by using multivariate Cox regression. A radiomics nomogram with the radiomics signature incorporated was constructed to demonstrate the incremental value of the radiomics signature to the traditional staging system and other clinical-pathologic risk factors for individualized DFS estimation, which was then assessed with respect to calibration, discrimination, reclassification, and clinical usefulness. Results The radiomics signature was significantly associated with DFS, independent of clinical-pathologic risk factors. Incorporating the radiomics signature into the radiomics-based nomogram resulted in better performance (P < .0001) for the estimation of DFS (C-index: 0.72; 95% confidence interval [CI]: 0.71, 0.73) than with the clinical-pathologic nomogram (C-index: 0.691; 95% CI: 0.68, 0.70), as well as a better calibration and improved accuracy of the classification of survival outcomes (net reclassification improvement: 0.182; 95% CI: 0.02, 0.31; P = .02). Decision curve analysis demonstrated that in terms of clinical usefulness, the radiomics nomogram outperformed the traditional staging system and the clinical-pathologic nomogram. Conclusion The radiomics signature is an independent biomarker for the estimation of DFS in patients with early-stage NSCLC. Combination of the radiomics signature, traditional staging system, and other clinical-pathologic risk factors performed better for individualized DFS estimation in patients with early-stage NSCLC, which might enable a step forward precise medicine. ^© RSNA, 2016 Online supplemental material is available for this article.

Risk Stratification Model for Resected Squamous-Cell Lung Cancer Patients According to Clinical and Pathological Factors

INTRODUCTION

The aim of this analysis (AIRC-MFAG project no. 14282) was to define a risk classification for resected squamous-cell lung cancer based on the combination of clinicopathological predictors to provide a practical tool to evaluate patients' prognosis.

METHODS

Clinicopathological data were retrospectively correlated to disease-free/cancer-specific/overall survival (DFS/CSS/OS) using a Cox model. Individual patient probability was estimated by logistic equation. A continuous score to identify risk classes was derived according to model ratios and dichotomized according to prognosis with receiver operating characteristic analysis.

RESULTS

Data from 573 patients from five institutions were gathered. Four hundred ninety-four patients were evaluable for clinical analysis (median age: 68 years; male/female: 403/91; T-descriptor according to TNM 7th edition 1-2/3-4: 330/164; nodes 0/>0: 339/155; stages I and II/III and IV: 357/137). At multivariate analysis, age, T-descriptor according to TNM 7th edition, nodes, and grading were independent predictors for DFS and OS; the same factors, except age and grading, predicted CSS. Multivariate model predict individual patient probability with high prognostic accuracy (0.67 for DFS). On the basis of receiver operating characteristic-derived cutoff, a two-class model significantly differentiated low-risk and high-risk patients for 3-year DFS (64.6% and 32.4%, p < 0.0001), CSS (84.4% and 44.5%, p < 0.0001), and OS (77.3% and 38.8%, p < 0.0001). A three-class model separated low-risk, intermediate-risk, and high-risk patients for 3-year DFS (64.6%, 39.8%, and 21.8%, p < 0.0001), CSS (84.4%, 55.4%, and 30.9%, p< 0.0001), and OS (77.3%, 47.9%, and 27.2%, p < 0.0001).

CONCLUSIONS

A risk stratification model including often adopted clinicopathological parameters accurately separates resected squamous-cell lung cancer patients into different risk classes. The project is currently ongoing to integrate the clinicopathological model with investigational molecular predictors.

Copy-number variation of MCL1 predicts overall survival of non-small-cell lung cancer in a Southern Chinese population

BCL2L1 and MCL1 are key anti‐apoptotic genes, and critical for cancer progression. The prognostic values of BCL2L1 and MCL1 copy‐number variations (CNVs) in non‐small‐cell lung cancer (NSCLC) remain largely unknown. Somatic CNVs in BCL2L1 and MCL1 genes were tested in tumor tissues from 516 NSCLC patients in southern China; afterward, survival analyses were conducted with overall survival (OS) as outcome. Additionally, the associations between CNVs and mRNA expression levels were explored using data from 986 NSCLC patients in the Cancer Genome Atlas project. It was found that amplifications of BCL2L1 and MCL1 were associated with unfavorable OS of NSCLC, with adjusted hazards ratio of 1.62 (95% confident interval [CI] = 1.10–2.40; P = 0.015) and 1.39 (95% CI = 1.05–1.84; P = 0.020), respectively. Amplifications of MCL1, but not BCL2L1, were related with higher mRNA expression levels of corresponding gene, compared with non‐amplifications (P = 0.005). Interestingly, after incorporating with MCL1 CNV status, clinical variables (age, sex, TNM stage, and surgical approach) showed an improved discriminatory ability to classify OS (area under curve increased from 72.2% to 74.1%; P = 0.042, DeLong's test). Overall, MCL1 CNV might be a prognostic biomarker for NSCLC, and additional investigations are needed to validate our findings.

Patterns of care in hilar node-positive (N1) non-small cell lung cancer: A missed treatment opportunity?

BACKGROUND

For patients with non-small cell lung cancer (NSCLC) metastatic to hilar lymph nodes (N1), guidelines recommend surgery and adjuvant chemotherapy in operable patients and chemoradiation (CRT) for those deemed inoperable. It is unclear how these recommendations are applied nationally, however.

METHODS

The National Cancer Database was queried to identify patients with a tumor <7 cm (T1/T2) with clinically positive N1 nodes. Patients undergoing CRT (comprising chemotherapy and radiation >45 Gy) or surgical resection were considered adequately treated. Remaining patients were classified as receiving inadequate or no treatment.

RESULTS

Of the 20,366 patients who met the study criteria, 63% underwent adequate treatment (48% surgical resection, 15% CRT). The remainder received inadequate treatment (23%) or no treatment (14%). In univariate analysis, the patients receiving inadequate or no treatment were older, tended to be non-Caucasian, had a lower income, and had a higher comorbidity score. Patients undergoing adequate treatment had improved overall survival (OS) compared with those receiving inadequate or no treatment (median OS, 34.0 months vs 11.7 months; P < .001). Of those receiving adequate treatment, logistic regression identified several variables associated with surgical resection, including treatment at an academic facility, Caucasian race, and annual income >$35,000. Increasing age and T2 stage were associated with nonoperative management. Following propensity score matching of 2308 patient pairs undergoing surgery or CRT, resection was associated with longer median OS (34.1 months vs 22.0 months; P < .001).

CONCLUSIONS

Despite the established guidelines, many patients with T1-2N1 NSCLC do not receive adequate treatment. Surgery is associated with prolonged survival in selected patients. Surgical input in the multidisciplinary evaluation of these patients should be mandatory.

Functional FLT1 Genetic Variation is a Prognostic Factor for Recurrence in Stage I-III Non-Small-Cell Lung Cancer

BACKGROUND

We propose that single-nucleotide polymorphisms (SNPs) in genes of the vascular endothelial growth factor pathway of angiogenesis will associate with survival in non-small-cell lung cancer (NSCLC) patients.

METHODS

Fifty-three SNPs in vascular endothelial growth factor-pathway genes were genotyped in 150 European stage I-III NSCLC patients and tested for associations with patient survival. Replication was performed in an independent cohort of 142 European stage I-III patients. Reporter gene assays were used to assess the effects of SNPs on transcriptional activity.

RESULTS

In the initial cohort, five SNPs associated (q < 0.05) with relapse-free survival (RFS). The minor alleles of intronic FLT1 SNPs, rs7996030 and rs9582036, associated with reduced RFS (hazard ratio [HR] = 1.67 [95% confidence interval, CI, 1.22-2.29] and HR = 1.51 [95% CI, 1.14-2.01], respectively) and reduced transcriptional activity. The minor alleles of intronic KRAS SNPs, rs12813551 and rs10505980, associated with increased RFS (HR = 0.64 [0.46-0.87] and HR = 0.64 [0.47-0.87], respectively), and the minor allelic variant of rs12813551 also reduced transcriptional activity. Lastly, the minor allele of the intronic KRAS SNP rs10842513 associated with reduced RFS (HR = 1.65 [95% CI, 1.16-2.37]). Analysis of the functional variants suggests they are located in transcriptional enhancer elements. The negative effect of rs9582036 on RFS was confirmed in the replication cohort (HR = 1.69 [0.99-2.89], p = 0.028), and the association was significant in pooled analysis of both cohorts (HR = 1.67 [1.21-2.30], p = 0.0001).

CONCLUSIONS

The functional FLT1 variant rs9582036 is a prognostic determinant of recurrence in stage I-III NSCLC. Its predictive value should be tested in the adjuvant setting of stage I-III NSCLC.

An Integrated Prognostic Classifier for Stage I Lung Adenocarcinoma Based on mRNA, microRNA, and DNA Methylation Biomarkers

INTRODUCTION

Up to 30% stage I lung cancer patients suffer recurrence within 5 years of curative surgery. We sought to improve existing protein-coding gene and microRNA expression prognostic classifiers by incorporating epigenetic biomarkers.

METHODS

Genome-wide screening of DNA methylation and pyrosequencing analysis of HOXA9 promoter methylation were performed in two independently collected cohorts of stage I lung adenocarcinoma. The prognostic value of HOXA9 promoter methylation alone and in combination with mRNA and miRNA biomarkers was assessed by Cox regression and Kaplan-Meier survival analysis in both cohorts.

RESULTS

Promoters of genes marked by polycomb in embryonic stem cells were methylated de novo in tumors and identified patients with poor prognosis. The HOXA9 locus was methylated de novo in stage I tumors (p < 0.0005). High HOXA9 promoter methylation was associated with worse cancer-specific survival (hazard ratio [HR], 2.6; p = 0.02) and recurrence-free survival (HR, 3.0; p = 0.01), and identified high-risk patients in stratified analysis of stages IA and IB. Four protein-coding gene (XPO1, BRCA1, HIF1α, and DLC1), miR-21 expression, and HOXA9 promoter methylation were each independently associated with outcome (HR, 2.8; p = 0.002; HR, 2.3; p = 0.01; and HR, 2.4; p = 0.005, respectively), and when combined, identified high-risk, therapy naive, stage I patients (HR, 10.2; p = 3 × 10). All associations were confirmed in two independently collected cohorts.

CONCLUSION

A prognostic classifier comprising three types of genomic and epigenomic data may help guide the postoperative management of stage I lung cancer patients at high risk of recurrence.

Clinicopathological and prognostic significance of Nestin expression in patients with non-small cell lung cancer: a systematic review and meta-analysis

Latest evidence indicates that Nestin expression may be associated with the high malignancy and poor prognosis of non-small cell lung cancer (NSCLC), but a relevant consensus has not been reached until now. Therefore, we conducted this meta-analysis to evaluate the clinicopathological and prognostic significance of Nestin expression in patients with NSCLC. We searched PubMed, EMBASE and the Web of Science for eligible full-text articles. Odds ratio (OR) and hazard ratio (HR) with 95 % confidence interval (95 % CI) severed as the summarized statistics. Q-test and I ²-statistic were applied to evaluate the heterogeneity, and sensitivity analysis was conducted for adjustments. Publication bias was detected by Begg's test and Egger's test. Finally, eight eligible articles with 834 NSCLC cases were included. Nestin expression was found to be significantly associated with the unfavorable outcomes of differentiation degree (OR: 2.47; 95 % CI 1.61-3.79; P < 0.001), lymphatic metastasis (OR: 2.45; 95 % CI 1.41-4.25; P = 0.001), TNM stage (OR: 1.73; 95 % CI 1.07-2.79; P = 0.025) and tumor size (OR: 2.68; 95 % CI 1.20-5.98; P = 0.016), but not associated with gender, age, smoking status and NSCLC subtypes. Nestin expression could significantly predict the lower overall survival of NSCLC (HR: 2.41; 95 % CI 1.72-3.38; P < 0.001). The prognostic value of Nestin remained statistically reliable in the subgroups stratified by statistical analysis, patients' origins and follow-up periods, but not significant in patients with squamous cell carcinoma. In conclusion, Nestin expression may be an independent predictor for the poor prognosis and clinicopathological characteristics of NSCLC. Further studies are necessary to validate our discoveries.

Glasgow prognostic score predicts prognosis of non-small cell lung cancer: a meta-analysis

OBJECTIVE

Glasgow prognostic score (GPS), an inflammation-based scoring system, has been evaluated in various cancers. However, its clinical significance remains unclear in non-small cell lung cancer (NSCLC). Therefore, it is necessary to conduct a meta-analysis to explore the prognostic value of GPS in NSCLC patients.

METHODS

A quantitative meta-analysis was performed through a systematic search in PubMed, Web of Science, and the Cochrane Library. The pooled hazard ratios (HRs) of overall survival (OS) were calculated and compared.

RESULTS

A total of 12 studies comprising 2669 patients were included in this meta-analysis. Compared with GPS 0 group, patients in GPS 1-2 group exhibited a reduced OS with a pooled HR of 1.89 (95 % CI 1.57-2.27, p < 0.001; I (2) = 54 %). Six studies had sufficient data to calculate HRs of OS for GPS 1 and GPS 2 groups. Analysis revealed that GPS 2 group had a statistically significant reduced OS compared with GPS 1 group with a pooled HR of 1.87 (95 % CI 1.18-2.97, p = 0.008; I (2) = 72 %). Study type (retrospective vs. prospective) and disease stage could partially explain the heterogeneity of each study by subgroup analysis.

CONCLUSION

Pretreatment GPS could serve as a simple and reliable prognosis predictor for NSCLC. More well-designed studies that consider GPS as a stratification factor are warranted.

Correlation between lung neoplasm and serum level of osteopontin: A meta-analysis

The aim of this meta-analysis was to evaluate the clinical significance of serum osteopontin (OPN) levels in lung neoplasm in patients to establish a novel diagnostic score model. Articles were identified by searching the PubMed, Web of Science, Google Scholar, China National Knowledge Infrastructure, and Wang Fang databases. Studies identified were pooled, and the standardized mean difference (SMD) and its corresponding 95% confidence interval (CI) were calculated. Subgroup analyses and publication bias detection were also conducted. Version 12.0 STATA software was used for statistical analysis. A final analysis of 1,327 subjects together (740 patients with lung neoplasms and 587 controls) was performed from 10 clinical case-control studies. The meta-analysis results showed a positive association between serum OPN levels and lung neoplasm (SMD=5.59, 95% CI: 1.85–3.32, P<0.001). The subgroup analysis by ethnicity detected that high levels of serum OPN may be the main risk factor for lung neoplasms in Asians (SMD=1.76, 95% CI: 1.24–2.29, P<0.001), but not in Caucasians (P=0.072). In conclusion, the present meta-analysis indicated that serum OPN levels were generally elevated in lung neoplasm patients, and thus, serum levels of OPN may be useful in diagnosing lung neoplasm in certain population groups.

FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy

INTRODUCTION

With (18)F-FDG PET/CT, tumor uptake intensity and heterogeneity have been associated with outcome in several cancers. This study aimed at investigating whether (18)F-FDG uptake intensity, volume or heterogeneity could predict the outcome in patients with non-small cell lung cancers (NSCLC) treated by stereotactic body radiation therapy (SBRT).

METHODS

Sixty-three patients with NSCLC treated by SBRT underwent a (18)F-FDG PET/CT before treatment. Maximum and mean standard uptake value (SUVmax and SUVmean), metabolic tumoral volume (MTV), total lesion glycolysis (TLG), as well as 13 global, local and regional textural features were analysed. The predictive value of these parameters, along with clinical features, was assessed using univariate and multivariate analysis for overall survival (OS), disease-specific survival (DSS) and disease-free survival (DFS). Cutoff values were obtained using logistic regression analysis, and survivals were compared using Kaplan-Meier analysis.

RESULTS

The median follow-up period was 27.1 months for the entire cohort and 32.1 months for the surviving patients. At the end of the study, 25 patients had local and/or distant recurrence including 12 who died because of the cancer progression. None of the clinical variables was predictive of the outcome, except age, which was associated with DFS (HR 1.1, P = 0.002). None of the (18)F-FDG PET/CT or clinical parameters, except gender, were associated with OS. The univariate analysis showed that only dissimilarity (D) was associated with DSS (HR = 0.822, P = 0.037), and that several metabolic measurements were associated with DFS. In multivariate analysis, only dissimilarity was significantly associated with DSS (HR = 0.822, P = 0.037) and with DFS (HR = 0.834, P < 0.01).

CONCLUSION

The textural feature dissimilarity measured on the baseline (18)F-FDG PET/CT appears to be a strong independent predictor of the outcome in patients with NSCLC treated by SBRT. This may help selecting patients who may benefit from closer monitoring and therapeutic optimization.

PET/CT imaging in lung cancer: indications and findings

The use of PET/CT imaging in the work-up and management of patients with lung cancer has greatly increased in recent decades. The ability to combine functional and anatomical information has equipped PET/CT to look into various aspects of lung cancer, allowing more precise disease staging and providing useful data during the characterization of indeterminate pulmonary nodules. In addition, the accuracy of PET/CT has been shown to be greater than is that of conventional modalities in some scenarios, making PET/CT a valuable noninvasive method for the investigation of lung cancer. However, the interpretation of PET/CT findings presents numerous pitfalls and potential confounders. Therefore, it is imperative for pulmonologists and radiologists to familiarize themselves with the most relevant indications for and limitations of PET/CT, seeking to protect their patients from unnecessary radiation exposure and inappropriate treatment. This review article aimed to summarize the basic principles, indications, cancer staging considerations, and future applications related to the use of PET/CT in lung cancer.

Commercially available prognostic molecular models in early-stage lung cancer: a review of the Pervenio Lung RS and Myriad myPlan Lung Cancer tests

Lung cancer is the most common cause of cancer death in the USA. Patients with early-stage non-small-cell lung cancer have a 5-year survival of approximately 70%. Effective, accurate and clinically relevant prognostic tests are needed to determine which patients are at high risk of disease-specific mortality after surgical resection. Currently, there are two commercially available prognostic tests based on differential gene expression for this purpose: the Myriad myPlan™ Lung Cancer and Pervenio™ Lung RS tests. One stratifies patients into two risk groups and the other into three risk groups. Both have been validated in independent patient cohorts and neither has yet been demonstrated to improve survival. These tests have the potential to risk-stratify which patients with early-stage lung cancer will have a higher likelihood of disease recurrence after surgical resection and may benefit from adjuvant treatment.

Personalized Therapy of Non-small Cell Lung Cancer (NSCLC)

Lung cancer remains the most common cause of cancer related deaths in both men and women in the United States and non-small cell lung cancer (NSCLC) accounts for over 85 % of all lung cancers. Survival of these patients has not significantly altered in over 30 years. This chapter initially discusses the clinical presentation of lung cancer patients. Most patients diagnosed with lung cancer due to symptoms have advanced stage cancer. Once diagnosed, lung cancer patients need imaging studies to assess the stage of the disease before decisions regarding therapy are finalized. The most important prognostic factors are stage of the disease and performance status and these factors also determine therapy. The chapter subsequently discusses management of each stage of the disease and the impact of several pathologic, clinical factors in personalizing therapy for each individual patient. Transition from chemotherapy for every patient to a more personalized approach based on histology and molecular markers has occurred in the management of advanced stage NSCLC. It is expected that such a personalized approach will extend to all stages of NSCLC and will likely improve the outcomes of all NSCLC patients.

Preoperative CT Predicting Recurrence of Surgically Resected Adenocarcinoma of the Lung

Pathologic lymphovascular invasion (LVI) has been shown to be related to tumor recurrence in lung adenocarcinoma (ADC). We investigated preoperative computed tomography (CT) findings that may be related to pathologic LVI and recurrence of surgically managed stage I-II ADC of the lung.Consecutive patients (n = 275) with ADC from January 2013 to December 2013 were retrospectively enrolled. Two independent chest radiologists analyzed the CT findings. Clinical, CT (stage, margin, pleural tag, axial location, and peritumoral interstitial thickening), and pathologic findings (stage, % lepidic growth, and LVI) were reviewed. Cox proportional hazard regression analysis was used to estimate the hazard ratios (HRs) for patients with (n = 34) and without (n = 241) recurrence.The κ index for agreement on the CT findings between radiologists was 0.705 to 0.845. In univariate analysis, % lepidic growth (P = 0.006), LVI (P < 0.001), size (P < 0.001), and staging (P = 0.011) differentiated significantly between patients with and without recurrence. Long diameter (P < 0.001), mass type (P < 0.001), marginal lobulation (P = 0.020), central location (P < 0.001), and peritumoral interstitial thickening (P < 0.001) were significantly related to recurrence on CT. Peritumoral interstitial thickening was positively correlated with tumor size (P < 0.001), LVI (P < 0.001), N staging (P = 0.005), stage (P < 0.001), mass type (P < 0.001), and recurrence (P = 0.003). In multivariate analysis, size (HR, 1.052; 95% CI, 1.022-1.082; P < 0.001), central location (HR, 3.152; 1.387-7.166; P = 0.006), and LVI (HR, 2.153, 95% CI, 1.038-4.465; P = 0.039) were independent predictors of recurrence.Large, centrally located tumors with LVI tend to recur after surgery. Presence of peritumoral interstitial thickening on CT appears to predict pathologic LVI and recurrence.

The IASLC lung cancer staging project: the new database to inform the eighth edition of the TNM classification of lung cancer

The analyses of the retrospective database of the International Association for the Study of Lung Cancer (IASLC), consisting of more than 81,000 evaluable patients diagnosed with lung cancer between 1990 and 2000, formed the basis of recommendations to the Union for International Cancer Control and the American Joint Committee on Cancer for the revision of the sixth edition of the tumor, node, and metastasis (TNM) classification of lung cancer. However, despite the large number of patients, not all descriptors could be validated. This prompted a new collection of retrospective and prospective data to overcome the limitations of the original retrospective database. The new IASLC database has information on 94,708 new patients diagnosed of lung cancer between 1999 and 2010. They originated from 35 sources in 16 countries, and 4,667 were submitted via the online electronic data capture system. Europe contributed 46,560 patients, Asia: 41,705, North America: 4,660, Australia: 1,593, and South America: 190. After exclusions, 77,156 (70,967 with nonsmall cell lung cancer and 6,189 with small cell lung cancer) remained for analysis. This database will be analyzed according to established objectives for the T, the N, and the M components to inform the eighth edition of the TNM classification of lung cancer due to be published in 2016. The IASLC hopes for the continuing contribution of our partners around the world to improve the classification of anatomical extent of disease, but also to create prognostic groups in a parallel project of the IASLC Staging and Prognostic Factors Committee.

The prognostic influence of tumor infiltrating Foxp3(+)CD4(+), CD4(+) and CD8(+) T cells in resected non-small cell lung cancer

Background

Different subsets of tumor infiltrating T lymphocytes are believed to play essential role in the immune response to cancer cells. The data of these cells in NSCLC are relatively rare and controversial therefore we aimed to evaluate the infiltration patterns of Foxp3 + CD4+, CD4+ and CD8+ T cells in NSCLC and to analyze their relations to survival.

Methods

Lung tissue specimens from 80 newly diagnosed and untreated patients who underwent surgery for NSCLC (stages I-III), and 16 control group subjects, who underwent surgery due to recurrent spontaneous pneumothorax, were analyzed. Foxp3 + CD4+, CD4+ and CD8+ T cells in tumor stroma and islets were evaluated immunohistochemically. All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS), version 20.0.

Results

Tumor infiltrating CD4+, CD8+ T cells were associated with neither overall survival nor disease-free survival. The presence of high tumor stroma infiltrating Foxp3 + CD4+ T cells was independently associated with improved NSCLC patients overall survival (P < 0.05).

Conclusions

Our study demonstrated that tumor infiltrating Foxp3 + CD4+ T cells are associated with improved NSCLC patients' survival. In addition our findings highlight a tendency of high CD4+/CD8+ and CD8+/Foxp3 + CD4+ T cells ratio in prolonged NSCLC patients' survival.

Prognostic factors based on clinicopathological data among the patients with resected peripheral squamous cell carcinomas of the lung

INTRODUCTION

Although the incidence of peripheral squamous cell carcinomas (p-SqCCs) of the lung has increased over recent years, clinicopathological factors influencing prognosis of resected p-SqCCs remain unclear.

METHODS

We examined 280 patients who underwent complete resection of SqCCs and analyzed the clinicopathological features in relation to their overall survival (OS) and recurrence-free survival (RFS) according to the primary location.

RESULTS

Multivariate analysis of all stages of p-SqCCs patients revealed that high serum squamous cell carcinoma antigen (SCC) level (OS; p < 0.01, RFS; p < 0.01), vascular invasion (OS; p < 0.01, RFS; p < 0.01), pleural invasion (OS; p = 0.03, RFS; p = 0.01), nodal metastasis (OS; p = 0.02) and complication with lung disease (OS; p < 0.01) were independently unfavorable prognostic factors. Among stage I p-SqCCs patients, high serum SCC level (OS; p < 0.01, RFS; p < 0.01), vascular invasion (RFS; p < 0.01) and pleural invasion (RFS; p = 0.01) were also strongly correlated with poor prognosis independently. When we reevaluated the survival rate, T1 p-SqCCs with high serum SCC level or vascular invasion can be upgraded to T2a. Patients with stage IB had a significantly poorer prognosis than stage IA (5-year RFS; 61.4 % versus 76.6 %, p < 0.05).

CONCLUSION

High serum SCC level, pleural and vascular invasions were independent poor prognostic factors for completely resected p-SqCCs. T1 p-SqCCs with high serum SCC level or vascular invasion should be upgraded to T2a, which accurately reflect survival status among patients with p-SqCCs.

Cell-free DNA as a prognostic marker in stage I non-small-cell lung cancer patients undergoing stereotactic body radiotherapy

OBJECTIVE

To evaluate whether plasma cell-free DNA (cfDNA) was related to clinical outcome in inoperable stage I non-small cell lung cancer (NSCLC) patients undergoing stereotactic body radiotherapy (SBRT).

MATERIALS AND METHODS

Plasma cfDNA was assessed at baseline, before the last day and 45 days after the end of SBRT, in 22 NSCLC patients. Twenty-two healthy controls were also evaluated.

RESULTS

Plasma cfDNA was higher in patients than in controls. An association with unfavourable disease-free survival was found for continuous baseline cfDNA increments (HR = 5.9, 95%CI: 1.7-19.8, p = 0.04).

CONCLUSION

Plasma cfDNA may be a promising prognostic biomarker in high-risk NSCLC patients.

Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection

The current TNM staging system did not provide disease relapse information. The aim of study was try to establish a predictive survival model for disease and overall survival in nonsmall cell lung cancer patients who presented as resectable disease and to develop a reference for follow-up imaging tool selection.From January 2005 to December 2011, 442 patients who initially presented as resectable disease (stages I-IIIa) and received anatomic resection and mediastinal lymph node dissection were included in the study.Medical charts were thoroughly reviewed and clinico-pathologic factors were collected and analyzed.Visceral pleural invasion, tumor size >5 cm, and postoperative adjuvant therapy were identified as risk factors for poorer disease-free survival. The 5-year disease-free survival from score 0 to 3 was 68.7%, 46.6%, 31.9%, and 26.1%, respectively. The disease relapse percentage for scores 0 to 3 were 26.49%, 50.61%, 65.05%, and 73.81%, respectively. For analysis of overall survival, age >60 years, tumor size >3 cm, and total metastatic lymph node ratio >0.05 were correlated to worse overall survival. Because greater age may be correlated with poor general condition, we re-scored risk factors that correlated to disease severity that ranging from 0 to 2. The 5-year overall survival range from score 0 to 2 was 56.3%, 43.1%, and 13.1%, respectively.Poor prognostic factors correlated to disease-free survival were tumor size >5 cm, visceral pleural invasion, and patients needing to receive postoperative adjuvant therapy. Disease-free survival of resectable nonsmall cell lung cancer patients and disease relapse can be stratified by these 3 factors. Chest tomography may be recommended for patients with 1 or more poor disease-free survival risk factors.

Validation of a molecular and pathological model for five-year mortality risk in patients with early stage lung adenocarcinoma

Introduction:

The aim of this study was to validate a molecular expression signature [cell cycle progression (CCP) score] that identifies patients with a higher risk of cancer-related death after surgical resection of early stage (I-II) lung adenocarcinoma in a large patient cohort and evaluate the effectiveness of combining CCP score and pathological stage for predicting lung cancer mortality.

Methods:

Formalin-fixed paraffin-embedded surgical tumor samples from 650 patients diagnosed with stage I and II adenocarcinoma who underwent definitive surgical treatment without adjuvant chemotherapy were analyzed for 31 proliferation genes by quantitative real-time polymerase chain reaction. The prognostic discrimination of the expression score was assessed by Cox proportional hazards analysis using 5-year lung cancer-specific death as primary outcome.

Results:

The CCP score was a significant predictor of lung cancer-specific mortality above clinical covariates [hazard ratio (HR) = 1.46 per interquartile range (95% confidence interval = 1.12–1.90; p = 0.0050)]. The prognostic score, a combination of CCP score and pathological stage, was a more significant indicator of lung cancer mortality risk than pathological stage in the full cohort (HR = 2.01; p = 2.8 × 10⁻¹¹) and in stage I patients (HR = 1.67; p = 0.00027). Using the 85th percentile of the prognostic score as a threshold, there was a significant difference in lung cancer survival between low-risk and high-risk patient groups (p = 3.8 × 10⁻⁷).

Conclusions:

This study validates the CCP score and the prognostic score as independent predictors of lung cancer death in patients with early stage lung adenocarcinoma treated with surgery alone. Patients with resected stage I lung adenocarcinoma and a high prognostic score may be candidates for adjuvant therapy to reduce cancer-related mortality.

Systemic Therapy for Stage IV Non-Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update

PURPOSE

To provide evidence-based recommendations to update the American Society of Clinical Oncology guideline on systemic therapy for stage IV non-small-cell lung cancer (NSCLC).

METHODS

An Update Committee of the American Society of Clinical Oncology NSCLC Expert Panel based recommendations on a systematic review of randomized controlled trials from January 2007 to February 2014.

RESULTS

This guideline update reflects changes in evidence since the previous guideline.

RECOMMENDATIONS

There is no cure for patients with stage IV NSCLC. For patients with performance status (PS) 0 to 1 (and appropriate patient cases with PS 2) and without an EGFR-sensitizing mutation or ALK gene rearrangement, combination cytotoxic chemotherapy is recommended, guided by histology, with early concurrent palliative care. Recommendations for patients in the first-line setting include platinum-doublet therapy for those with PS 0 to 1 (bevacizumab may be added to carboplatin plus paclitaxel if no contraindications); combination or single-agent chemotherapy or palliative care alone for those with PS 2; afatinib, erlotinib, or gefitinib for those with sensitizing EGFR mutations; crizotinib for those with ALK or ROS1 gene rearrangement; and following first-line recommendations or using platinum plus etoposide for those with large-cell neuroendocrine carcinoma. Maintenance therapy includes pemetrexed continuation for patients with stable disease or response to first-line pemetrexed-containing regimens, alternative chemotherapy, or a chemotherapy break. In the second-line setting, recommendations include docetaxel, erlotinib, gefitinib, or pemetrexed for patients with nonsquamous cell carcinoma; docetaxel, erlotinib, or gefitinib for those with squamous cell carcinoma; and chemotherapy or ceritinib for those with ALK rearrangement who experience progression after crizotinib. In the third-line setting, for patients who have not received erlotinib or gefitinib, treatment with erlotinib is recommended. There are insufficient data to recommend routine third-line cytotoxic therapy. Decisions regarding systemic therapy should not be made based on age alone. Additional information can be found at http://www.asco.org/guidelines/nsclc and http://www.asco.org/guidelineswiki.