Prognostic factors in non-small cell lung cancer surgery

Predicting the Efficacy of SBRT for Lung Cancer with 18F-FDG PET/CT Radiogenomics

Purpose: to develop a radiogenomic model on the basis of 18F-FDG PET/CT radiomics and clinical-parameter EGFR for predicting PFS stratification in lung-cancer patients after SBRT treatment. Methods: A total of 123 patients with lung cancer who had undergone 18F-FDG PET/CT examination before SBRT from September 2014 to December 2021 were retrospectively analyzed. All patients’ PET/CT images were manually segmented, and the radiomic features were extracted. LASSO regression was used to select radiomic features. Logistic regression analysis was used to screen clinical features to establish the clinical EGFR model, and a radiogenomic model was constructed by combining radiomics and clinical EGFR. We used the receiver operating characteristic curve and calibration curve to assess the efficacy of the models. The decision curve and influence curve analysis were used to evaluate the clinical value of the models. The bootstrap method was used to validate the radiogenomic model, and the mean AUC was calculated to assess the model. Results: A total of 2042 radiomics features were extracted. Five radiomic features were related to the PFS stratification of lung-cancer patients with SBRT. T-stage and overall stages (TNM) were independent factors for predicting PFS stratification. AUCs under the ROC curve of the radiomics, clinical EGFR, and radiogenomic models were 0.84, 0.67, and 0.86, respectively. The calibration curve shows that the predicted value of the radiogenomic model was in good agreement with the actual value. The decision and influence curve showed that the model had high clinical application values. After Bootstrap validation, the mean AUC of the radiogenomic model was 0.850(95%CI 0.849–0.851). Conclusions: The radiogenomic model based on 18F-FDG PET/CT radiomics and clinical EGFR has good application value in predicting the PFS stratification of lung-cancer patients after SBRT treatment.

The prognostic value of the Naples prognostic score for patients with non-small-cell lung cancer

The Naples prognostic score (NPS) is an effective inflammatory and nutritional scoring system widely applied as a prognostic factor in various cancers. We aimed to analyze the prognostic value of the NPS in patients diagnosed with non-small-cell lung cancer (NSCLC). We prospectively collected 395 patients diagnosed with NSCLC between January 2016 and December 2018 in two university-affiliated hospitals. Patients were divided into three groups according to their pretreatment NPS (Group 0: NPS = 0; Group 1: NPS = 1–2; Group 2: NPS = 3–4). Kaplan–Meier survival curves indicated that patients with higher NPS had a poorer overall survival (OS) and progress-free survival (PFS) (both P < 0.05). NPS was further confirmed as an independent prognostic factors of OS and PFS by multivariable survival analysis (both P < 0.05). Furthermore, stratifying by TNM stage, NPS also has significant predictive performance for OS and PFS in both early (I–IIIA) and advanced (IIIB–IV) stage NSCLC (all P < 0.05). The time-dependent receiver operating characteristic curve analysis demonstrated that NPS was more superior to other prognostic factors in predicting OS and PFS. In conclusion, NPS may serve as an effective indicator to predict OS and PFS in NSCLC patients regardless of TNM stage.

The Value of Residual Volume/Total Lung Capacity as an Indicator for Predicting Postoperative Lung Function in Non-Small Lung Cancer

Chronic obstructive pulmonary disease (COPD) is one of the most frequently occurring concomitant diseases in patients with non-small cell lung cancer (NSCLC). It is characterized by small airways and the hyperinflation of the lung. Patients with hyperinflated lung tend to have more reserved lung function than conventionally predicted after lung cancer surgery. The aim of this study was to identify other indicators in predicting postoperative lung function after lung resection for lung cancer. Patients with NSCLC who underwent curative lobectomy with mediastinal lymph node dissection from 2017 to 2019 were included. Predicted postoperative FEV₁ (ppoFEV₁) was calculated using the formula: preoperative FEV₁ × (19 segments-the number of segments to be removed) ÷ 19. The difference between the measured postoperative FEV₁ and ppoFEV₁ was defined as an outcome. Patients were categorized into two groups: preserved FEV₁ if the difference was positive and non-preserved FEV₁, if otherwise. In total, 238 patients were included: 74 (31.1%) in the FEV₁ non-preserved group and 164 (68.9%) in the FEV₁ preserved group. The proportion of preoperative residual volume (RV)/total lung capacity (TLC) ≥ 40% in the FEV₁ non-preserved group (21.4%) was lower than in the preserved group (36.1%) (p = 0.03). In logistic regression analysis, preoperative RV/TLC ≥ 40% was related to postoperative FEV1 preservation. (adjusted OR, 2.02, p = 0.041). Linear regression analysis suggested that preoperative RV/TLC was positively correlated with a significant difference. (p = 0.004) Preoperative RV/TLC ≥ 40% was an independent predictor of preserved lung function in patients undergoing curative lobectomy with mediastinal lymph node dissection. Preoperative RV/TLC is positively correlated with postoperative lung function.

Application of Radiomics and Artificial Intelligence for Lung Cancer Precision Medicine

Medical imaging is the standard-of-care for early detection, diagnosis, treatment planning, monitoring, and image-guided interventions of lung cancer patients. Most medical images are stored digitally in a standardized Digital Imaging and Communications in Medicine format that can be readily accessed and used for qualitative and quantitative analysis. Over the several last decades, medical images have been shown to contain complementary and interchangeable data orthogonal to other sources such as pathology, hematology, genomics, and/or proteomics. As such, "radiomics" has emerged as a field of research that involves the process of converting standard-of-care images into quantitative image-based data that can be merged with other data sources and subsequently analyzed using conventional biostatistics or artificial intelligence (AI) methods. As radiomic features capture biological and pathophysiological information, these quantitative radiomic features have shown to provide rapid and accurate noninvasive biomarkers for lung cancer risk prediction, diagnostics, prognosis, treatment response monitoring, and tumor biology. In this review, radiomics and emerging AI methods in lung cancer research are highlighted and discussed including advantages, challenges, and pitfalls.

A tumor microenvironment-related mRNA-ncRNA signature for prediction early relapse and chemotherapeutic sensitivity in early-stage lung adenocarcinoma

OBJECTIVES

Postoperative early relapse of early-stage lung adenocarcinoma is implicated in poor prognosis. The purpose of our study was to develop an integrated mRNA and non-coding RNA (ncRNA) signature to identify patients at high risk of early relapse in stage I-II lung adenocarcinoma who underwent complete resection.

METHODS

Early-stage lung adenocarcinoma data from Gene Expression Omnibus database were divided into training set and testing set. Propensity score matching analysis was performed between patients in early relapse group and long-term nonrelapse group from training set. Transcriptome analysis, random survival forest and LASSO Cox regression model were used to build an early relapse-related multigene signature. The robustness of the signature was evaluated in testing set and RNA-Seq dataset from The Cancer Genome Atlas (TCGA). The chemotherapy sensitivity, tumor microenvironment and mutation landscape related to the signature were explored using bioinformatics analysis.

RESULTS

Twelve mRNAs and one ncRNA were selected. The multigene signature achieved a strong power for early relapse prediction in training set (HR 3.19, 95% CI 2.16-4.72, P < 0.001) and testing set (HR 2.91, 95% CI 1.63-5.20, P = 0.002). Decision curve analyses revealed that the signature had a good clinical usefulness. Groups divided by the signature exhibited different chemotherapy sensitivity, tumor microenvironment characteristics and mutation landscapes.

CONCLUSIONS

Our results indicated that the integrated mRNA-ncRNA signature may be an innovative biomarker to predict early relapse of early-stage lung adenocarcinoma, and may provide more effective treatment strategies.

Positron Emission Tomography-Based Short-Term Efficacy Evaluation and Prediction in Patients With Non-Small Cell Lung Cancer Treated With Hypo-Fractionated Radiotherapy

Background

Positron emission tomography is known to provide more accurate estimates than computed tomography when staging non–small cell lung cancer. The aims of this prospective study were to contrast the short-term efficacy of the two imaging methods while evaluating the effects of hypo-fractionated radiotherapy in non-small cell lung cancer, and to establish a short-term efficacy prediction model based on the radiomics features of positron emission tomography.

Methods

This nonrandomized-controlled trial was conducted from March 2015 to June 2019. Thirty-one lesions of 30 patients underwent the delineation of the regions of interest on positron emission tomography and computed tomography 1 month before, and 3 months after hypo-fractionated radiotherapy. Each patient was evaluated for the differences in local objective response rate between the two images. The Kaplan Meier method was used to analyze the local objective response and subsequent survival duration of the two imaging methods. The 3D Slicer was used to extract the radiomics features based on positron emission tomography. Least absolute shrinkage and selection operator regression was used to eliminate redundant features, and logistic regression analysis was used to develop the curative-effect-predicting model, which was displayed through a radiomics nomogram. Receiver operating characteristic curve and decision curve were used to evaluate the accuracy and clinical usefulness of the prediction model.

Results

Positron emission tomography-based local objective response rate was significantly higher than that based on computed tomography [70.97% (22/31) and 12.90% (4/31), respectively (p<0.001)]. The mean survival time of responders and non-responders assessed by positron emission tomography was 28.6 months vs. 11.4 months (p=0.29), whereas that assessed by computed tomography was 24.5 months vs. 26 months (p=0.66), respectively. Three radiomics features were screened to establish a personalized prediction nomogram with high area under curve (0.94, 95% CI 0.85–0.99, p<0.001). The decision curve showed a high clinical value of the radiomics nomogram.

Conclusions

We recommend positron emission tomography for evaluating the short-term efficacy of hypo-fractionated radiotherapy in non-small cell lung cancer, and that the radiomics nomogram could be an important technique for the prediction of short-term efficacy, which might enable an improved and precise treatment.

Registration number/URL

ChiCTR1900027768/http://www.chictr.org.cn/showprojen.aspx?proj=46057

The Identification of Cytochrome B5 Reductase 2 and Fructose-1,6-Bisphosphatase 1 Proteins in Non-Small Cell Lung Cancer: Proteomics Approach

Background: Lung cancer is one of the major causes of death worldwide, with more than a million deaths a year. Despite advanced surgical techniques and combined therapies, lung cancer is still a disease with poor prognosis. According to available reports, the number of patients with lung cancer among Iranian men and women is increasing. In a study, 4,361 deaths from lung cancer have been recorded in Iran, which are 9.80% and 6.07% of all cancer deaths among men and women, respectively. Objectives: This study aimed at investigating the proteomes in patients with non-small cell lung cancer (NSCLC) and comparing them with those of the healthy individuals to detect protein markers for the diagnosis of the disease in the early stages. Methods: According to the sample size estimation, the tissue samples of 30 patients with NSCLC were compared with 30 healthy tissues. Proteomics and reverse transcriptase polymerase chain reaction (RT-PCR) methods were used. First, the tissue samples were collected under sterile conditions and then protein was extracted. Next, 2-dimensional electrophoresis and mass spectrometry were performed. Finally, with proteomic analysis in patients and healthy individuals, differences in the proteomic pattern of healthy and cancerous tissue were examined. Results: More than 40 differences were revealed in the proteomics pattern of the healthy and cancerous tissues, and 2 different spots were submitted for liquid chromatography-mass spectrometry (LC-MS/ MS). Then cytochrome b5 reductase 2 (CYB5R2) and fructose-1,6-bisphosphate1 were detected. It has been shown that these proteins down-regulated in cancer tissue compared to healthy tissue. It was also shown molecularly that the expression of fructose-1,6-bisphosphatase 1 messenger ribonucleic acid (mRNA) and cytochrome b5 reductase 2 messenger ribonucleic acid (mRNA) in the cancerous tissue was 0.8 and 0.64 times less than their expression in healthy tissues, respectively. Conclusions: The result of this study, which deals with tumor markers of NSCLC, can be considered as a screening diagnostic test for diagnosis of the disease in the early stages. This research could provide the basis for further research to identify the critical effects of these 2 molecules cytochrome b5 reductase 2 and fructose-1,6-bisphosphate on tissue carcinogenesis. It is recommended to do more thorough research.

Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation

OBJECTIVES

Although it has been postulated that patients might benefit from the centralization of high-volume specialized centres, conflicting results have been reported on the relationship between the number of lung resections performed and the long-term, all-cause mortality rates among patients who underwent surgery for lung cancer. A population-based observational study was performed to contribute to the ongoing debate.

METHODS

The 2613 patients, all residents of the Lombardy region (Italy), who underwent lung resection for lung cancer from 2012 to 2014 were entered into the cohort and were followed until 2018. The hospitals were classified according to the annual number of pulmonary resections performed. Three categories of lung resection cases were identified: low (≤30), intermediate (31-95) and high (>95). The outcome of interest was all-cause death. A frailty model was used to estimate the death risk associated with the categories of numbers of lung resections performed, taking into account the multilevel structure of the data. A set of sensitivity analyses was performed to account for sources of systematic uncertainty.

RESULTS

The 1-year and 5-year survival rates of cohort members were 90% and 63%. Patients operated on in high-volume centres were on average younger and more often women. Compared to patients operated on in a low-volume centre, the mortality risk exhibited a significant, progressive reduction as the numbers of lung resections performed increased to intermediate (-13%; 95% confidence interval +10% to -31%) and high (-26%; 0% to -45%). Sensitivity analyses revealed that the association was consistent.

CONCLUSIONS

Further evidence that the volume of lung resection cases performed strongly affects the long-term survival of lung cancer patients has been supplied.

Result of the 6-min walk test is an independent prognostic factor of surgically treated non-small-cell lung cancer

OBJECTIVES

Pathological tumour, node and metastasis (TNM) stage remains the most significant prognostic factor of non-small-cell lung cancer (NSCLC). Meanwhile, age, gender, pulmonary function tests, the extent of surgical resection and the presence of concomitant diseases are commonly used to complete the prognostic profile of the patient with early stage of NSCLC. The aim of this study is to assess how the result of a 6-min walk test (6MWT) further assists in predicting the prognosis of NSCLC surgical candidates.

METHODS

Six hundred and twenty-four patients who underwent surgical treatment for NSCLC between April 2009 and October 2011 were enrolled in this study. All patients were accepted for surgery on the basis of a standard evaluation protocol. Additionally, patients completed the 6MWT on the day before the surgery, and threshold values of the test were assessed based on both the Akaike information criterion and the coefficient of determination R2. Cox proportional hazards regression analysis was used to analyse the effect of important prognostic factors on the overall survival.

RESULTS

Three hundred and ninety men and 234 women with a mean age of 64 years underwent radical surgical treatment for primary lung cancer. Five hundred and twenty-five lobectomies (84%), 77 pneumonectomies (12%) and 24 (4%) lesser resections were performed. Three hundred and thirty-one patients (53%) were treated for stage I NSCLC, 191 patients (31%) for stage II and 102 patients (16%) for stages IIIA-IV. A distance of 525 m in the 6MWT [hazard ratio (HR) = 0.57, 95% confidence interval (CI) 0.41-0.78, P < 0.001] was the threshold value differentiating the patients' prognoses (P < 0.001). Using the Cox proportional hazards regression analysis, pathological TNM stage (IIA: HR = 1.87, 95% CI 1.95-2.92, P = 0.006; IIB: HR = 2.03, 95% CI 1.23-3.37, P = 0.006; IIIA-IV: HR = 2.37, 95% CI 1.49-3.75, P < 0.001), male gender (HR = 1.88, 95% CI 1.26-2.79, P = 0.001), pneumonectomy (HR = 1.78, 95% CI 1.17-2.70, P < 0.001) and the results of the 6MWT (HR = 0.50, 95% CI 0.36-0.70, P < 0.001) were considered as independent predictive factors of overall survival.

CONCLUSIONS

The result of a 6MWT is an independent and convenient prognostic factor of surgically treated non-small-cell lung cancer.

Predictive and Prognostic Role of Metabolic Response in Patients With Stage III NSCLC Treated With Neoadjuvant Chemotherapy

INTRODUCTION

The purpose of this study was to assess the predictive and prognostic role of 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in candidates with stage III non-small-cell lung cancer (NSCLC) to neoadjuvant chemotherapy.

PATIENTS AND METHODS

Sixty-six patients with stage III NSCLC treated with induction chemotherapy from March 2013 to December 2017 were retrospectively identified. Response assessment were evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 and European Organisation for Research and Treatment of Cancer (EORTC) criteria. 18F-FDG PET/CT metabolic parameters were analyzed as absolute values as well as percentage changes (Δ) between 2 consecutive scans, for primary tumor (T) and for regional lymph nodes (N). All clinical variables and metabolic parameters were compared with treatment response and correlated with progression-free survival (PFS) and overall survival (OS), based on a median follow-up of 9.4 months.

RESULTS

Post-induction therapy standardized uptake value (SUV)max_T, SUVmean_T, metabolic tumor volume (MTV_T), and total lesion glycolysis of the tumor (TLG_T) varied significantly between responders and non-responders (6.6 vs. 13.8; P = .001; 4.2 vs. 8.1; P < .001; 6 vs. 17.9; P = .002; and 24.1 vs. 136.3; P < .001, respectively). Likewise, percentage changes (Δ_T) were significantly different between the 2 groups (P < .001). Along with primary tumor, also post-SUVmax_N, post-SUVmean_N, and post-TLG_N (P = .024, P = .015, and P = .024, respectively), as well as all percentage changes (Δ_N) were different between responders and non-responders. RECIST 1.1 and EORTC response classifications were discordant in 27 patients (40.9%; κ = 0.265; P = .003). On multivariate analysis, post-TLG_N was an independent predictor for both PFS and OS, whereas RECIST 1.1 was a predictor only for OS.

CONCLUSIONS

Several metabolic parameters may differentiate responders from non-responders following neoadjuvant chemotherapy in stage III NSCLC. As compared with RECIST 1.1, EORTC seems to be more appropriate for evaluation therapeutic response. Finally, post-TLG_N has significant prognostic information.

A robust six-gene prognostic signature for prediction of both disease-free and overall survival in non-small cell lung cancer

Background

The high mortality of patients with non-small cell lung cancer (NSCLC) emphasizes the necessity of identifying a robust and reliable prognostic signature for NSCLC patients. This study aimed to identify and validate a prognostic signature for the prediction of both disease-free survival (DFS) and overall survival (OS) of NSCLC patients by integrating multiple datasets.

Methods

We firstly downloaded three independent datasets under the accessing number of GSE31210, GSE37745 and GSE50081, and then performed an univariate regression analysis to identify the candidate prognostic genes from each dataset, and identified the gene signature by overlapping the candidates. Then, we built a prognostic model to predict DFS and OS using a risk score method. Kaplan–Meier curve with log-rank test was used to determine the prognostic significance. Univariate and multivariate Cox proportional hazard regression models were implemented to evaluate the influences of various variables on DFS and OS. The robustness of the prognostic gene signature was evaluated by re-sampling tests based on the combined GEO dataset (GSE31210, GSE37745 and GSE50081). Furthermore, a The Cancer Genome Atlas (TCGA)-NSCLC cohort was utilized to validate the prediction power of the gene signature. Finally, the correlation of the risk score of the gene signature and the Gene set variation analysis (GSVA) score of cancer hallmark gene sets was investigated.

Results

We identified and validated a six-gene prognostic signature in this study. This prognostic signature stratified NSCLC patients into the low-risk and high-risk groups. Multivariate regression and stratification analyses demonstrated that the six-gene signature was an independent predictive factor for both DFS and OS when adjusting for other clinical factors. Re-sampling analysis implicated that this six-gene signature for predicting prognosis of NSCLC patients is robust. Moreover, the risk score of the gene signature is correlated with the GSVA score of 7 cancer hallmark gene sets.

Conclusion

This study provided a robust and reliable gene signature that had significant implications in the prediction of both DFS and OS of NSCLC patients, and may provide more effective treatment strategies and personalized therapies.

Electronic supplementary material

The online version of this article (10.1186/s12967-019-1899-y) contains supplementary material, which is available to authorized users.

Nomogram prediction of overall survival for patients with non-small-cell lung cancer incorporating pretreatment peripheral blood markers

OBJECTIVES

The objective of this study is to build a novel prognostic nomogram in non-small-cell lung cancer (NSCLC) incorporating pre-treatment peripheral blood markers beyond known pathoclinical predictors.

METHODS

We analysed 7158 patients with NSCLC diagnosed between 1 January 1997 and 31 December 2012 from a single institution with a uniform medical record and routine follow-up information. Besides common clinicopathological factors, we investigated the prognostic value of the neutrophil to lymphocyte ratio, monocytes and haemoglobin level in peripheral blood before treatment. Patients were randomly assigned to training (4772 patients, 66.7%) or validation cohorts (2386 patients, 33.3%). Cox proportional hazards models determined the effects of multiple factors on overall survival (OS). A nomogram was developed to predict median survival and 1-, 3-, 5- and 10-year OS for NSCLC. The performance of the nomogram was assessed by a concordance index and calibration curve.

RESULTS

In the training cohort, the multivariate Cox model identified the neutrophil to lymphocyte ratio, monocytes and haemoglobin level before treatment as significant prognostic factors for OS independent of patient age, gender, smoking history of intensity and cessation, performance status, disease stage, tumour cell type and differentiation grade and therapies. All the significant prognostic variables were incorporated into a nomogram. In the validation cohort, the nomogram showed notable accuracy in predicting OS, with a concordance index of 0.81, and was well calibrated for predictions of OS.

CONCLUSIONS

The proposed nomogram incorporating peripheral blood markers and known prognostic factors could accurately predict individualized survival probability of patients with NSCLC. It could be used in treatment planning and stratification in clinical trials.

Artificial intelligence in cancer imaging: Clinical challenges and applications

Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered data with nuanced decision making. Cancer offers a unique context for medical decisions given not only its variegated forms with evolution of disease but also the need to take into account the individual condition of patients, their ability to receive treatment, and their responses to treatment. Challenges remain in the accurate detection, characterization, and monitoring of cancers despite improved technologies. Radiographic assessment of disease most commonly relies upon visual evaluations, the interpretations of which may be augmented by advanced computational analyses. In particular, artificial intelligence (AI) promises to make great strides in the qualitative interpretation of cancer imaging by expert clinicians, including volumetric delineation of tumors over time, extrapolation of the tumor genotype and biological course from its radiographic phenotype, prediction of clinical outcome, and assessment of the impact of disease and treatment on adjacent organs. AI may automate processes in the initial interpretation of images and shift the clinical workflow of radiographic detection, management decisions on whether or not to administer an intervention, and subsequent observation to a yet to be envisioned paradigm. Here, the authors review the current state of AI as applied to medical imaging of cancer and describe advances in 4 tumor types (lung, brain, breast, and prostate) to illustrate how common clinical problems are being addressed. Although most studies evaluating AI applications in oncology to date have not been vigorously validated for reproducibility and generalizability, the results do highlight increasingly concerted efforts in pushing AI technology to clinical use and to impact future directions in cancer care.

Use of 18F-FDG PET/CT to predict short-term outcomes early in the course of chemoradiotherapy in stage III adenocarcinoma of the lung

The purpose of the present prospective study was to evaluate the use of ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) in the assessment of therapy response and the prediction of short-term outcomes by maximum and mean standardized uptake values (SUVmax and SUVmean, respectively), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) following chemoradiotherapy (CRT) in patients with stage III adenocarcinoma of the lung. The study included a total of 15 patients, all of whom underwent two serial ¹⁸F-FDG PET/CT scans prior to and following 60-Gy radiotherapy with a concurrent cisplatin/pemetrexed combined chemotherapy regimen. SUVmax, SUVmean, MTV and TLG were determined. Short-term outcomes were assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST) and the PET Response Criteria in Solid Tumors (PERCIST). Post-CRT SUVmax, ΔSUVmax, ΔMTV and ΔTLG varied significantly between responders and non-responders (P=0.009, P=0.015, P=0.006 and P=0.004, respectively). The differences in SUVmax, SUVmean, carcinoembryonic antigen, MTV and TLG between the responders and the non-responders at the initial ¹⁸F-FDG PET/CT scans were not statistically significant (P>0.05). The overall response rate was significantly higher (P=0.01) when evaluated using PERCIST compared with evaluation using RECIST. It was concluded that post-CRT SUVmax, ΔSUVmax, ΔMTV and ΔTLG may be used to differentiate the responders from the non-responders following CRT for stage III adenocarcinoma of the lung. This would aid in deciding whether or not to increase dosages or to incorporate a boost treatment without the requirement to suspend therapy.

Identification of risk factors for toxicity in patients with hormone receptor-positive advanced breast cancer treated with bevacizumab plus letrozole: a CALGB 40503 (alliance) correlative study

BACKGROUND

In hormone receptor-positive advanced breast cancer, a progression-free survival benefit was reported with addition of bevacizumab to first-line letrozole. However, increased toxicity was observed. We hypothesized that functional age measures could be used to identify patients at risk for toxicity while receiving letrozole plus bevacizumab for hormone receptor-positive advanced breast cancer.

METHODS

CALGB 40503 was a phase III trial that enrolled patients with hormone receptor-positive advanced breast cancer randomized to letrozole with or without bevacizumab. Patients randomized to bevacizumab were approached to complete a validated assessment tool evaluating physical function, comorbidity, cognition, psychological state, social support, and nutritional status. The relationship between pretreatment assessment measures and the incidence of grade ≥ 3 (National Cancer Institute Common Terminology Criteria for Adverse Events Version 3.0) adverse events was determined.

RESULTS

One hundred thirteen (58%) of 195 patients treated with letrozole plus bevacizumab completed the pretreatment assessment questionnaire. One patient was excluded due to missing adverse event data. The median age of patients was 56. Frequently reported grade ≥ 3 adverse events were hypertension (26%), pain (20%), and proteinuria (7%). Two hemorrhagic events (one grade 5) and 1 thrombosis event occurred. Age ≥ 65 years (p < 0.01), decreased vision (p = 0.04), and poorer pretreatment physical function measures (p < 0.05) were found on univariate analysis to be significantly associated with increased incidence of grade ≥ 3 adverse events. Upon multivariate analysis, age ≥ 65 years (p = 0.01) and decreased vision (p = 0.04) remained significant. Univariable and multivariable logistic regression models demonstrated associations between age, vision, the ability to walk up flights of stairs, and grade ≥ 3 adverse events.

CONCLUSIONS

Age (≥ 65 years), decreased vision, and impairments in physical function correlated with increased incidence of toxicity in patients receiving first-line letrozole plus bevacizumab. When evaluating therapy likely to increase toxicity, functional assessment measures can identify patients at increased risk for side effects who may benefit from closer monitoring.

Comorbidities with non-small cell lung cancer: Is there an interdisciplinary consensus needed to qualify patients for surgical treatment?

INTRODUCTION:

Radical surgical treatment is the preferred action for patients with early-stage non-small cell lung cancer (NSCLC). Qualification for surgical treatment should consider a risk associated with the effect of comorbidities on the general condition of the patient. The aim of this article was an attempt to identify the risk factors for postoperative complications in patients treated for NSCLC, with a special focus on the coexisting diseases.

METHODS:

A total of 400 patients with NSCLC were included in this retrospective study. The incidence of postoperative complications (including major complications according to the European Society of Thoracic Surgeons [ESTS]) was analyzed. Factors associated with high risk of postoperative complications were identified.

RESULTS:

Postoperative complications occurred in 151 patients (39% operated patients), including severe complications according to ESTS in 75 patients (19%). From univariate analysis, risk factors for postoperative complications were arrhythmias, pneumonectomy, and open thoracotomy. According to ESTS, for major complications, the risk factors included age ≥65 years, the presence of comorbidities, hypertension, and arrhythmias. From multivariate analysis, the risk of complications was higher in patients undergoing pneumonectomy and with cardiac arrhythmias, whereas the risk of serious complications according to ESTS was found in people ≥65 years of age and suffering from comorbidities.

CONCLUSIONS:

The risk of postoperative complications is affected by both surgical factors and the general health of the patient. Elderly patients with chronic disease history, hypertension, and arrhythmias have an increased risk of postoperative complications. Knowledge of these factors will identify a group of patients requiring internal consultation and optimization of preoperative treatment and postoperative follow-up.

Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients

The goal of this study was to extract features from radial deviation and radial gradient maps which were derived from thoracic CT scans of patients diagnosed with lung adenocarcinoma and assess whether these features are associated with overall survival. We used two independent cohorts from different institutions for training (n= 61) and test (n= 47) and focused our analyses on features that were non-redundant and highly reproducible. To reduce the number of features and covariates into a single parsimonious model, a backward elimination approach was applied. Out of 48 features that were extracted, 31 were eliminated because they were not reproducible or were redundant. We considered 17 features for statistical analysis and identified a final model containing the two most highly informative features that were associated with lung cancer survival. One of the two features, radial deviation outside-border separation standard deviation, was replicated in a test cohort exhibiting a statistically significant association with lung cancer survival (multivariable hazard ratio = 0.40; 95% confidence interval 0.17-0.97). Additionally, we explored the biological underpinnings of these features and found radial gradient and radial deviation image features were significantly associated with semantic radiological features.

Racial and Ethnic Differences in the Epidemiology and Genomics of Lung Cancer

BACKGROUND

Lung cancer is the most common cancer in the world. In addition to the geographical and sex-specific differences in the incidence, mortality, and survival rates of lung cancer, growing evidence suggests that racial and ethnic differences exist.

METHODS

We reviewed published data related to racial and ethnic differences in lung cancer.

RESULTS

Current knowledge and substantive findings related to racial and ethnic differences in lung cancer were summarized, focusing on incidence, mortality, survival, cigarette smoking, prevention and early detection, and genomics. Systems-level and health care professional-related issues likely to contribute to specific racial and ethnic health disparities were also reviewed to provide possible suggestions for future strategies to reduce the disproportionate burden of lung cancer.

CONCLUSIONS

Although lung carcinogenesis is a multifactorial process driven by exogenous exposures, genetic variations, and an accumulation of somatic genetic events, it appears to have racial and ethnic differences that in turn impact the observed epidemiological differences in rates of incidence, mortality, and survival.

Differential diagnosis of human lung tumors using surface desorption atmospheric pressure chemical ionization imaging mass spectrometry

Differential diagnosis of human lung cancer in untreated tissue is achieved by DAPCI-MSI combined with multivariate statistical analysis.

Prognostic Factors in Stage III Non-Small-Cell Lung Cancer Patients

Aim: The objective of this study is to investigate prognostic factors affecting survival of patients undergoing concurrent or sequential chemoradiotherapy (CRT) for stage III non-small-cell lung cancer (NSCL). Methods and materials: We retrospectively reviewed the clinical records of 148 patients with advanced, inoperable stage III NSCLC, who were treated between 2007 and 2015. Results: The median survival was found to be 19 months and 3-year overall survival was 27%. Age (<65 vs ≥65 years, p=0.026), stage (IIIA vs IIIB, p=0.033), dose of radiotherapy (RT) (<60 vs ≥60 Gy, p=0.024) and treatment method (sequential chemotherapy+RT vs concurrent CRT , p=0.023) were found to be factors affecting survival in univariate analyses. Gender, histological subtype, weight loss during CRT, performance status, induction/consolidation chemotherapy and presence of comorbidities did not affect survival (p>0.050). Conclusion: Young age, stage IIIA, radiotherapy dose and concurrent chemoradiotherapy may positively affect survival in stage III NSCL cases.

Lung cancer survival in Norway, 1997-2011: from nihilism to optimism

We examine changes in survival and patient-, tumour- and treatment-related factors among resected and nonresected lung cancer patients, and identify subgroups with the largest and smallest survival improvements.National population-based data from the Cancer Registry of Norway, Statistics Norway and the Norwegian Patient Register were linked for lung cancer patients diagnosed during 1997-2011. The 1- and 5-year relative survival were estimated, and Cox proportional hazard regression, adjusted for selected patient characteristics, was used to assess prognostic factors for survival in lung cancer patients overall and stratified by resection status.We identified 34 157 patients with lung cancer. The proportion of histological diagnoses accompanied by molecular genetics testing increased from 0% to 26%, while those accompanied by immunohistochemistry increased from 8% to 26%. The 1-year relative survival among nonresected and resected patients increased from 21.7% to 34.2% and 75.4% to 91.5%, respectively. The improved survival remained significant after adjustment for age, sex, stage and histology. The largest improvements in survival occurred among resected and adenocarcinoma patients, while patients ≥80 years experienced the smallest increase.Lung cancer survival has increased considerably in Norway. The explanation is probably multifactorial, including improved attitude towards diagnostic work-up and treatment, and more accurate diagnostic testing that allows for improved selection for resection and improved treatment options.

Prognostic significance of histology after resection of brain metastases and whole brain radiotherapy in non-small cell lung cancer (NSCLC)

Brain metastases from non-small cell lung cancer (NSCLC) are associated with a poor prognosis. In selected cases, surgical resection of brain metastases may be indicated, but the identification of patients suitable for surgery remains difficult. We collected data on patient and tumour characteristics known or suspected to be associated with survival by chart review. Data was merged with available data from the local cancer registry. We identified 64 NSCLC patients with resected brain metastases. Median overall survival after resection was 9.1 months with only two patients (3%) surviving more than 71 and 80 months. One and 2-year survival were 42 and 12.5%. Median survival for males and patients with more comorbidities was shorter (8 vs. 10 months [p = 0.11] and 6 vs. 9 months [p = 0.06]). Patients with squamous cell carcinomas (33% of the patients) had a significantly worse survival than patients with other histologies (7 vs. 10 months [p = 0.02]) with no patient living longer than 2 years. Squamous cell histology was associated with worse prognosis after resection of brain metastases in patients with non-small cell lung cancer. Histology, among other parameters, may also be taken into account when choosing the appropriate patients for resection of brain metastases.

Prognostic implication of pulmonary function at the beginning of postoperative radiotherapy in non-small cell lung cancer

PURPOSE

The purpose of this study was to investigate the prognostic effect of pulmonary function at the beginning of postoperative radiotherapy (PORT) in non-small cell lung cancer (NSCLC).

MATERIALS AND METHODS

From January 2002 to December 2012, 115 patients with NSCLC who underwent PORT and took the forced expiratory volume in 1 second (FEV1) at the beginning of PORT were analysed. PORT began within 4-6weeks following surgery, and the 3-dimensional conformal technique was used with conventional fractionation. The high and low FEV1 groups were divided by the median absolute value of FEV1 at the beginning of PORT, and we compared the clinical factors and survival between two groups.

RESULTS

The median absolute value of FEV1 at the beginning of PORT was 1.68L (range, 0.83-3.89), and patients were divided into low and high FEV1 groups (<1.68L versus ⩾1.68L). Patients in the low FEV1 group showed a lower preoperative FEV1 (mean, 1.94L versus 2.73L, p<0.001) and received more pneumonectomy (36.8% versus 8.6%, p<0.001) compared to the high FEV1 group. The overall median follow-up time was 31months (range, 3-110), and 5-year locoregional recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS) and overall survival (OS) were 52.4%, 48.9%, and 45.9%, respectively. Five-year OS of the low FEV1 group was significantly lower than that of the high FEV1 group (35.4% versus 56.9%, p=0.002), and no significant differences were found in LRRFS and DMFS. In a multivariate analysis, the difference of OS between the low and high FEV1 groups remained significant (Hazard Ratio=2.04, CI, 1.18-3.55, p=0.011).

CONCLUSIONS

The FEV1 at the beginning of PORT was an independent significant prognostic factor in patients with NSCLC who received PORT. Considering this analysis was limited to only patients receiving PORT, further studies are warranted to compare the survival effect of postoperative pulmonary function between groups with/without PORT.

Early detection of disease progression after palliative chemotherapy in NSCLC patients by (18)F-FDG-PET

AIM

We investigated whether 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) is capable of detecting renewed disease progression earlier than computed tomography (CT) in patients with inoperable non-small cell lung cancer (NSCLC) who have undergone chemotherapy as part of a palliative treatment plan.

PATIENTS, METHODS

18 patients were studied retrospectively. Three FDG-PET/CT scans for initial and follow-up diagnostic purposes were evaluated. Palliative chemotherapy was administered between the first FDG-PET/CT scan (t0) and the second (t1), followed by a treatment-free interval between the second FDG-PET/CT scan (t1) and the third (t2). Maximum standardized uptake values (SUVmax) and largest diameters of lesions were determined for PET scans and the corresponding CTs. Lesion-based and patient-based assessments were performed, as were assessments according to RECIST/PERCIST.

RESULTS

82 lesions were identified in 18 patients. In interval t1-t2, the increase in diameter in the lesion-based evaluation was 5.0% (non-significant), while the patient-based evaluation showed a non-significant reduction of 2.8%. Considering PET, both the lesion-based and patient-based evaluations found a significant increase in SUVmax by a median of 30.4 % and 45.8 %, respectively. PERCIST criteria at time point t2 identified ten more patients with progression than did RECIST.

CONCLUSION

In patients with NSCLC, renewed progression during the treatment-free interval after palliative chemotherapy can be detected earlier with PET than with CT. Thus, FDG-PET appears to be a useful diagnostic imaging procedure regarding this aspect. Its clinical relevance should be investigated in further studies.

Positron emission tomography/computerized tomography in lung cancer

Positron emission tomography (PET) using 2-(18F)-flouro-2-deoxy-D-glucose (FDG) has emerged as a useful tool in the clinical work-up of lung cancer. This review article provides an overview of applications of PET in diagnosis, staging, treatment response evaluation, radiotherapy planning, recurrence assessment and prognostication of lung cancer.

[Correlation between pulmonary function indexes and survival time in patients with advanced lung cancer]

背景与目的

晚期肺癌患者的治疗以提高疗效和改善生活质量为最终目的，肺功能指标是较好的评价指标。本研究探讨晚期肺癌患者肺功能改变及肺功能指标与患者生存期的相关性。

方法

通过对59例晚期肺癌患者的肺功能进行检测，且与患者生存期进行相关性分析，并与63例健康人进行对照。

结果

晚期肺癌患者的肺通气及弥散功能指标明显低于正常，与对照相比有统计学差异。肺功能指标中肺活量（vital capacity, VC）、第1秒用力呼出量（forced expiratory volume in one second, FEV₁）、用力肺活量（gorced vital capacity, FVC）、最大呼气流速（peak expiratory flow, PEF）、最大呼气流速%（peak expiratory flow%, PEF%）、最大通气量（maximal ventilatory volume, MVV）与患者生存期呈正相关（r分别为0.29、0.28、0.28、0.27、0.26、0.28，P < 0.05），残气量/肺总量（residual volume/total lung, RV/TLC）值与患者生存期呈负相关（r=-0.31, P < 0.05）。

结论

肺癌患者存在肺功能的减退，肺癌患者肺功能指标中VC、FEV₁、FVC、PEF、PEF%、MVV、RV/TCL值与患者生存期具有相关性，肺功能的部分指标可作为肺癌患者预后评估的重要因素之一。

Clinical characteristics and prognostic significance of 92 cases of patients with primary mixed-histology lung cancer

Mixed-histology primary lung cancer is a rare type of lung cancer, where data regarding epidemiology, clinical features and prognosis of survival are limited. The aim of this study was to analyze the clinical characteristics of patients with mixed-histology lung tumors, and to investigate the association between clinical characteristics, treatment and prognosis. Between January, 1999 and September, 2008, 1,842 patients were diagnosed with primary lung tumors. Of these, 92 presented a mixed histological pattern. Patient clinical characteristics, clinical tumor-node-metastasis (TNM) staging, diagnostic methods, treatment and survival data were collected in order to be retrospectively analyzed. Differences between the frequencies were examined using the χ² test and survival rates using the Kaplan-Meier method. The log-rank test was used to compare the survival curves and a probability value <5% (P<0.05) was considered to indicate a statistically significant difference. Of the 92 lung cancer patients (4.99%) with a mixed histological pattern, most were adenosquamous carcinomas. Patients included 75 men and 17 women with a mean age of 56 years. Most cases were in late stage and 64 patients had metastasis. The 1-, 2- and 3-year survival of 52 mixed-histology and 54 non-small cell lung cancer (NSCLC) patients with resection who were successfully followed up, was 63.5, 23.1, 9.6 and 81.5, 48.1, 27.7% (P=0.013). The median survival time of mixed-histology lung cancer patients treated with surgery plus adjuvant therapy and surgery alone was 22 and 12 months, respectively (P=0.002). Mixed-histology lung cancer is characterized by higher malignancy and poor prognosis. However, surgery plus adjuvant therapy is able to prolong survival, compared to surgery alone.

Relationship between primary lesion metabolic parameters and clinical stage in lung cancer

OBJECTIVES

The relation of PET-derived parameters as maximum standardized uptake value (SUVmax), total lesion glycolysis (TLG), metabolic tumor volume (MTV) with clinical stage in lung cancer and correlation of SUVmax of primary tumor and that of metastatic lesion was studied in lung cancer patients.

MATERIALS AND METHODS

Patients with lung cancer who were referred for FDG PET/CT were included in the study.

RESULTS

PET/CT scans and pathology reports of 168 patients were assessed. A total of 146 (86.9%) of these patients had a diagnosis of non-small cell lung cancer (NSCLC) and 22 (13.1%) had small cell lung cancer (SCLC). Metabolic parameters such as SUVmax, TLG and MTV showed significant differences in all the stages in NSCLC patients (p<0.001). However, after tumors sizes <25 mm were excluded, no significant differences in SUVmax between stages were observed. No significant differences were found between these metabolic parameters and limited or extended disease SCLC. Tumor diameter correlated with primary tumor SUVmax and significant correlations between primary lesion SUVmax and metastatic lesion SUVmax were found.

CONCLUSIONS

Although differences were found regarding indices between stages of NSCLC cases, SUVmax differences between stages seem to be caused by underestimation of SUVmax in small lesions. Other glucose metabolism indexes such as MTV and TLG show promising results in terms of prognostic stratification. Future studies are needed for better understanding of their contribution to clinical cases.

Six minute walking test and carbon monoxide diffusing capacity for non-small cell lung cancer: easy performed tests in every day practice

BACKGROUND

Several studies have demonstrated that reduced lung function is a significant risk factor for lung cancer and increased surgical risk in patients with operable stages of lung cancer. The aim of the study was to perform pulmonary function tests and investigate which is a favorable respiratory function test for overall survival between lung cancer stages.

METHODS

Lung function tests were performed to lung cancer patients with non-small cell lung cancer of stage I, II, III and IV (241 patients in total). They had the last follow-up consecutively between December 2006 and July 2008. The staging was decided according to the sixth edition of TNM classification of NSCLC. The Forced Expiratory Volume in 1sec (FEV1), Forced Vital Capacity (FVC) and Carbon Monoxide Diffusing Capacity (DLCO) were measured according to American Thoracic Society/European Respiratory Society guidelines. The 6 Minute Walking Test (6MWT) was measured according to the American Thoracic Society.

RESULTS

There was a significant association of the DLCO upon diagnosis and overall survival for stage II (P<0.007) and IV (P<0.003). Furthermore, there was a significant association between 6MWT and overall survival for stage III (P<0.001) and stage IV (P<0.010).

CONCLUSIONS

The significance for each lung function test is different among the stages of NSCLC. DLCO and 6MWT upon admission are the most valuable prognostic factors for overall survival of NSCLC.

Pneumonectomy for non-small cell lung cancer

PURPOSE

To assess the mortality, complications and major morbidity of pneumonectomy for non-small cell lung cancer (NSCLC) and to establish the importance of various prognostic factors.

METHODS

We reviewed retrospectively the hospital records of 71 consecutive patients who underwent pneumonectomy for NSCLC between 1992 and 2007 to evaluate the significance of risk factors for an adverse outcome. Patients were divided into two period groups according to the period when they were treated: early (1992-1999; n = 47) and late (2000-2007; n = 24).

RESULTS

Both the 30-day and the in-hospital mortality rates were 4.2 % (3/71). Complications developed in 31.3 % (22/71) and overall 5-year survival was 23.1 %. Pathological stage III or more, T3 or more, and N2 or more were risk factors of an adverse outcome. Survival was not significantly influenced by histological type, the side of surgery, or curability. The 5-year survival rates for the early and late periods were 19.6 and 32.9 %, respectively. There were more patients with clinical N2 or 3 disease in the early period than in the late period (66.0 vs. 33.3 %).

CONCLUSIONS

Pneumonectomy is associated with acceptable overall morbidity and mortality; however, patients with pathological stage III or more, T3 or more, and N2 or more disease require special consideration. Pneumonectomy should be performed only in selected patients.

False-positivity of mediastinal lymph nodes has negative effect on survival in potentially resectable non-small cell lung cancer

OBJECTIVES

It has been shown that increased metabolic activity of primary tumour has a negative effect on survival in non-small cell lung cancer (NSCLC) staged with positron emission tomography integrated computed tomography (PET/CT). We hypothesized that an increased metabolic activity of mediastinal lymph nodes would have worse survival even if it is false.

METHODS

Three hundred and twenty-eight consecutive patients with NSCLC histology were imaged with PET/CT within 90 days of surgery between September 2005 and March 2009. Patients who had neoadjuvant chemotherapy (n = 22), patients with prior history of NSCLC (n = 9) or other malignancies within 5 years (n = 11) were excluded from the study. Patients with negative mediastinoscopy underwent resection. Pathological results were revised according to the seventh tumor-node-metastasis staging system. Kaplan-Meier test was used for survival. Log-rank and Cox analyses were used for comparisons.

RESULTS

A total of 286 patients (262 male; mean age: 58.5 years) were evaluated. There were 22 (6.7%) operative deaths and none of the patients were lost to follow-up. The median follow-up in the remaining 264 patients was 26 months (range, 2-61 months). Tumour size, nodal spread and stage were all strongly associated with survival from NSCLC (P < 0.001). There were 63 true-positive, 65 false-positive (FP), 152 true-negative (TN) and six false-negative findings on mediastinal staging after PET/CT. The maximum standardized uptake value of primary tumour was significantly higher in FP patients than in TN patients (P = 0.012). After excluding pN2-positive patients, TN patients had better survival than FP patients (P = 0.006). Multivariate analysis showed that false-positivity of mediastinal lymph nodes was independently associated with worse survival (hazard ratio = 0.63; P = 0.02). There were 146 patients with pT1-4, pN0 treated with R0 surgical resection. Disease-free survival and overall survival were also significantly better for TN patients in completely resected group (P = 0.009 versus 0.016).

CONCLUSIONS

We have shown that false-positivity of mediastinal lymph nodes had yielded worse survival in surgically staged or resected NSCLC patients staged with PET/CT. This result may help to allocate patients with potentially poor prognosis for considered additional therapy.

Forced expiratory volume in one second as a prognostic factor in advanced non-small cell lung cancer

INTRODUCTION

Reduced lung function is an important risk factor for lung cancer and increases surgical risk in patients with operable stages of lung cancer. Nevertheless, there have been few studies to reveal association of lung function with mortality in patients with advanced lung cancer. The aim of this study was to investigate whether low forced expiratory volume in 1 second (FEV1) is an independent predictor of mortality in patients with advanced lung cancer.

METHODS

Data were retrospectively collected from patients with non-small cell lung cancer of stage IIIB or IV and available spirometry at diagnosis of lung cancer. They had the last follow-up consecutively between April 2003 and July 2009 in a tertiary referral hospital.

RESULTS

Among a total of 156 patients, 118 died as of July 2009. Their mean age was 65 years; 115 (74%) were men. Mean FEV1 was 1.91 liters (79% of predicted). Seventy-one patients (46%) had adenocarcinoma, and 48 (31%) had squamous cell carcinoma. In a multivariate analysis using Cox regression model, independent prognostic factors were FEV1 less than 50% of predicted (hazard ratio [HR] = 2.704, 95% confidence interval [CI]: 1.516-4.823, p = 0.001), chemotherapy (HR = 0.311, 95% CI: 0.192-0.503, p < 0.001), adenocarcinoma (HR = 0.459, 95% CI: 0.300-0.701, p < 0.001), body mass index (HR = 0.921, 95% CI: 0.870-0.975, p = 0.005), and the presence of malignant pleural effusion (HR = 1.673, 95% CI: 1.102-2.540, p = 0.016).

CONCLUSIONS

Reduced FEV1 is strongly associated with mortality in advanced non-small cell lung cancer.

CD8+ T cells expressing IL-10 are associated with a favourable prognosis in lung cancer

The dual role of tumour-infiltrating macrophages and lymphocytes on nonsmall cell lung cancer (NSCLC) progression and prognosis may be due to the differential activity of their phenotypes. To investigate the impact of inflammatory cells on NSCLC, we first quantified the number of macrophages (CD68+) and lymphocytes (CD8+ and CD4+) and the percentage of CD8+ cells expressing IL-10 (CD8+/IL-10+) in tumour stroma and epithelium. Then, we evaluated the possible relationships between the numbers of these cells and the clinicopathological features and the overall survival of patients. Paraffin-embedded sections of surgical specimens from 64 patients who had undergone surgery for NSCLC were immunostained with antibodies directed against CD68, CD4, CD8 and IL-10. The percentage of CD8+/IL-10+ cells was higher in cancer stroma of patients with stage I NSCLC than in those with stages II, III, and IV. High percentages of stromal CD8+/IL-10+ cells were associated with longer overall patient survival. In contrast, the number of CD68+, CD8+ and CD4+ cells did not differ between stage I NSCLC and stages II, III, and IV. In conclusion, the survival advantage of patients with stage I NSCLC may be related to the anti-tumour activity of the CD8+/IL-10+ cell phenotype.

Risk factors for early mortality and morbidity after pneumonectomy: a reappraisal

BACKGROUND

Pneumonectomy remains a high-risk procedure. Comprehensive patient selection should be based on analysis of proven risk factors.

METHODS

The records of 323 pneumonectomy patients were retrospectively reviewed. Multiple demographic data were collected. End points were operative mortality at 30 and at 90 days, major procedurally related complications, and cardiovascular events. Univariate and multivariate statistical analyses were performed.

RESULTS

Smoking habits, chronic obstructive pulmonary disease (COPD) status, induction chemotherapy status, diabetes, and obesity had no statistical influence on short-term outcomes. After right pneumonectomy, 30-day mortality (p = 0.045) and the incidence of bronchopleural fistulas (p = 0.009) were increased. Multivariate analysis for postoperative bronchopleural fistulas discovered that right pneumonectomies are the sole risk factor (p = 0.015). Univariate analysis for postoperative atrial fibrillation showed that male gender, age 70 and older, hypertension, and dyslipidemia are risk factors. Multivariate analysis found no definite risk factor. Patients with coronary artery disease had more postoperative cardiovascular events (p = 0.003). Among patients free of coronary artery disease, COPD led to an increased 90-day mortality rate (p = 0.028).

CONCLUSIONS

Patients with right pneumonectomies are at increased risk. Postoperative cardiovascular events are more frequent in coronary artery disease patients. COPD is a risk factor in patients free of coronary disease.

KRAS mutational testing in the selection of patients for EGFR-targeted therapies

The small-molecule epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors and the anti-EGFR monoclonal antibodies have proven activity in lung and colorectal adenocarcinomas, respectively, but only a small fraction of patients exhibit significant responses. The observation that only a minority of patients respond to EGFR-targeted therapies, in combination with their toxicity and high costs, has driven the search for molecular markers predictive of response. The main focus of the present review is the recent discovery that mutations in the KRAS oncogene constitute a negative predictive marker in this clinical setting, namely that their presence can be used to predict which patients are unlikely to benefit from treatment with EGFR-directed therapy.

Clinical significance of HLA class I alleles on postoperative prognosis of lung cancer patients in Japan

BACKGROUND

The role of the HLA phenotype in cancer prognosis has been frequently discussed. We previously reported the correlation between HLA alleles and the postoperative prognosis of 204 patients with non-small cell lung cancer (NSCLC). The present study was based on 695 patients with NSCLC to confirm these correlations.

METHODS

We evaluated the medical records of 695 NSCLC patients who underwent surgical resection. The serological typing of HLA class I was performed using a microcytotoxicity test of lymphocytes or PCR-sequence-specific oligonucleotides (PCR-SSO), and the correlation between the HLA alleles and the clinicopathological features was analyzed. The survival curves were calculated, and then a comparison of the survival curves was carried out.

RESULTS

The HLA-A2 positive(A2(+)) group at stage I showed a more unfavorable prognosis than HLA-A2(-) group in overall survival. At stage II+III, the HLA-A24(+) group had a poorer prognosis than the HLA-A24(-) group, and the HLA-B52(+) group showed unfavorable prognosis. Multivariate analysis demonstrated that HLA-A2 at stage I and HLA-A24 at stage II+III were the independent factors that affected the survival period.

CONCLUSIONS

The expression of HLA-A2 was considered as one of the unfavorable prognostic factors in the NSCLC patients at stage I. HLA-A24(+) group showed a significant unfavorable prognosis at stage II+III. These results suggested that HLA-A2 and HLA-A24 could be the prognostic factors in patients with NSCLC according to the state of advancement of the disease.

Trends in prevalence of prognostic factors and survival in lung cancer patients from 1985 to 2004 at a tertiary care center

BACKGROUND

After a prolonged period of increasing rates of lung cancer incidence and mortality for both men and women, incidence and mortality rates are decreasing in men and stabilizing in women. The goal of this study was to assess changes over 20 years in the prevalence of known risk factors for lung cancer and to elucidate possible predictors associated with lung cancer survival.

METHODS

The study included a total of 908 patients with primary lung cancer referred to The University of Texas M.D. Anderson Cancer Center over three study periods 1985-1989 (N=392), 1993-1997 (N=216), and 2000-2004 (N=300). Detailed questionnaires were used to collect information from the patients. Hazard ratios were estimated by fitting a Cox proportional hazards model. Using the Kaplan-Meier method, survival in months was calculated up to 2 years from the date of diagnosis to achieve comparability in the three groups.

RESULTS

We observed a decrease in the proportion of patients who are current cigarette smokers and an increase in the proportion of patients who present with adenocarcinoma of the lung, are obese and patients who present with localized disease. We also found an increase in the number of patients who report a family history of lung cancer. The overall median survival duration has increased over the years from 12.0 months in 1985-1989 to 17.5 months in 2000-2004. Also, the probability of survival of patients who were alive at 2 years after diagnosis has also increased (26.5% in 1985-1989 to 40.8% in 2000-2004). Overall, women had a better median survival than men.

CONCLUSIONS

The results show that the demographic, histologic, clinical, and outcome variables of patients with lung cancer have changed over the past 20 years. Most important, the survival of patients with lung cancer has improved.

Temporal trends in the management of potentially resectable lung cancer

BACKGROUND

Standardized, evidence-based guidelines recommend lung resection for patients with stage I or II nonsmall-cell lung cancer (NSCLC), and select patients with stage IIIA disease. We hypothesized that the proportion of patients operated on would increase over time coincident with increasing adherence to practice guidelines and improved patient/provider education over time.

METHODS

This investigation was a cohort study of tumor-registry data linked to Medicare claims.

RESULTS

Between 1992 and 2002, 24,030 patients--mean age 75 +/- 6 years, 55% men--were diagnosed with NSCLC. In each stage, the proportion of patients undergoing resection was lower in 2002 compared with 1992: stage I (68% versus 80%, p < 0.001), II (59% versus 74%, p < 0.001), and IIIA (23% versus 35%, p < 0.001). The mean age and comorbidity index of the cohort was higher in 2002 compared with 1992 (76 versus 74 years, p < 0.001; and 0.47 and 0.82, p < 0.001, respectively). The unadjusted odds of resection decreased by 6% per year (odds ratio 0.94, 99% confidence interval: 0.93 to 0.95), and adjustment for age, comorbidity index, race, and stage resulted in a slightly smaller (4% per year) but significantly decreasing trend in operative management over time (odds ratio 0.96, 99% confidence interval: 0.95 to 0.97).

CONCLUSIONS

Unexpectedly, the use of resection for lung cancer has decreased dramatically over time, and this decline is not fully accounted for by an older cohort with more comorbid conditions. Future investigations should determine whether increasing unmeasured contraindications to resection, barriers to accessing specialty care, an inadequate supply of thoracic surgeons, or bias against operative therapy are responsible.