Racialized Economic Segregation and Treatment and Outcomes of Small Cell Lung Cancer.

BACKGROUND: Little is known about the role of residential segregation in the treatment and outcomes of small cell lung cancer (SCLC), a highly recalcitrant disease, among non-Hispanic White (NHW) and non-Hispanic Black (NHB) patients. METHODS: We used the Surveillance, Epidemiology, and End Results database to identify men and women diagnosed with SCLC from January 2007 to December 2015 (n = 38,393). An Index of Concentration at the Extremes was computed to measure county-level racialized economic segregation and categorized into Quartile 1 (most privileged: highest concentration of high-income NHW residents) through Quartile 4 (least privileged: highest concentration of low-income NHB residents). Multilevel logistic regression was used to estimate the ORs for extensive-stage diagnosis and nonadherence to guideline-recommended treatment. HRs for lung cancer-specific and overall mortalities were computed using multilevel Cox regression. RESULTS: Patients in the least privileged counties had higher risks of nonadherence to guideline-recommended treatment [OR = 1.23; 95% confidence interval (CI): 1.08-1.40; Ptrend < 0.01], lung cancer-specific mortality (HR = 1.08; 95% CI: 1.04-1.12; Ptrend < 0.01), and all-cause mortality (HR = 1.13; 95% CI: 1.09-1.17; Ptrend < 0.0001) compared with patients in the most privileged counties. Adjustment for treatment did not significantly reduce the association with mortality. These associations were comparable between NHB and NHW patients. Segregation was not significantly associated with extensive-stage diagnosis. CONCLUSIONS: The results suggest that living in the neighborhoods with higher proportions of low-income households and Black residents had adverse impacts on stage-appropriate treatment of and survival from SCLC. IMPACT: This highlights the need for improving the access to quality lung cancer care in the less privileged neighborhoods.

Longitudinal Assessment of Health Utility Scores, Symptoms and Toxicities in Patients with Small Cell Lung Cancer Using Real World Data.

INTRODUCTION: Recent advances in small cell lung cancer (SCLC) treatments necessitate a better understanding of real-world health utility scores (HUS) in patients treated under current standards to facilitate robust pharmaco-economic assessments. METHODS: In this single institution cohort observational study, HUS were evaluated in patients with SCLC through EQ-5D questionnaires at outpatient visits (encounters). In addition, patients completed questionnaires relating to treatment toxicities and cancer symptoms. Clinical and pathological variables were abstracted from electronic medical records and disease status at each patient visit was documented. The impact of these variables on HUS were explored. RESULTS: There were 282 clinical encounters (12% newly diagnosed; 37% stable on treatment; 22% progressing on treatment; 29% stable off therapy/other) in 111 SCLC patients (58% male; 64% extensive stage (ES) SCLC). At the first encounter 29% of patients had an ECOG performance status (PS) ≥ 2. ES-SCLC, bone metastases, female sex, progressive disease and/or PS were each significantly associated with decreased HUS in multivariable analyses. Patients clinically stable on first line therapy had generally steady HUS longitudinally, with differences in HUS between limited disease (LD) and ES patients emerging as treatment progressed. Decreased HUS were associated with increased severity of the majority of measured symptoms (fatigue/tiredness, loss of appetite, pain, drowsiness, shortness of breath, anxiety, depression, and overall well-being; each p<0.001), supporting the value of EQ-5D-derived HUS in assessing health utility. CONCLUSION: Our HUS values in chemotherapy-treated SCLC are clinically relevant and are associated with specific clinico-demographic, symptom and toxicity factors.

Assessment of the Clinical Utility of Circulating Tumor Cells at Different Time Points in Predicting Prognosis of Patients With Small Cell Lung Cancer: A Meta-Analysis.

OBJECTIVES: Numerous studies have elucidated that circulating tumor cells (CTCs) have significant prognostic value in various solid tumors. However, the prognostic value of CTCs in small cell lung cancer (SCLC) remains controversial. The current study was performed to investigate the prognostic significance of different time points of CTCs in SCLC. METHODS: PubMed, EMBASE, Web of Science, and Cochrane Library databases were retrieved for eligible studies. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to investigate the association between CTCs level and overall survival (OS) and progression-free survival (PFS) in SCLC. Furthermore, subgroup analyses, sensitivity analysis, Begg's and Egger's tests were also conducted. RESULTS: Sixteen cohort studies with 1103 participants were eligible for this meta-analysis. Our results revealed that higher pretreatment CTCs level was significantly correlated with worse OS in SCLC no matter CellSearch (HR, 2.95; 95%CI, 1.56-5.58; P = .001) or other methods (HR, 2.37; 95%CI, 1.13-4.99; P = .023) was used to detect CTCs. Higher pretreatment CTCs status detected by CellSearch was associated with shorter PFS (HR, 3.75; 95%CI, 2.52-5.57; P < .001), while there was no significant association when other methods were adopted to CTC detection (HR, 2.04; 95%CI, .73-5.68; P = .172). Likewise, we observed that higher post-therapy CTCs level detected by both CellSearch (HR, 2.99; 95%CI, 1.51-5.93; P = .002) and other methods (HR, 4.79; 95%CI, 2.03-11.32; P < .001) was significantly correlated with decreased OS in SCLC. However, higher post-therapy CTCs count detected by CellSearch was not correlated with worse PFS (HR, 1.80; 95%CI, .83-3.90; P = .135). Sensitivity analysis demonstrated that the pooled data were still stable after eliminating studies one by one. However, significant publication bias was observed between pretreatment CTCs level detected by CellSearch and OS of SCLC. CONCLUSION: Dynamic monitoring of CTCs level could be a non-invasive and effective tool to predict the disease progression and prognosis in patients with SCLC.

ESMO Management and treatment adapted recommendations in the COVID-19 era: Lung cancer.

The COVID-19 pandemic, characterised by a fast and global spread during the first months of 2020, has prompted the development of a structured set of recommendations for cancer care management, to maintain the highest possible standards. Within this framework, it is crucial to ensure no disruption to essential oncological services and guarantee the optimal care.This is a structured proposal for the management of lung cancer, comprising three levels of priorities, namely: tier 1 (high priority), tier 2 (medium priority) and tier 3 (low priority)-defined according to the criteria of the Cancer Care Ontario, Huntsman Cancer Institute and Magnitude of Clinical Benefit Scale.The manuscript emphasises the impact of the COVID-19 pandemic on lung cancer care and reconsiders all steps from diagnosis, staging and treatment.These recommendations should, therefore, serve as guidance for prioritising the different aspects of cancer care to mitigate the possible negative impact of the COVID-19 pandemic on the management of our patients.As the situation is rapidly evolving, practical actions are required to guarantee the best patients' treatment while protecting and respecting their rights, safety and well-being. In this environment, cancer practitioners have great responsibilities: provide timely, appropriate, compassionate and justified cancer care, while protecting themselves and their patients from being infected with COVID-19. In case of shortages, resources must be distributed fairly. Consequently, the following recommendations can be applied with significant nuances, depending on the time and location for their use, considering variable constraints imposed to the health systems. An exceptional flexibility is required from cancer caregivers.

First-line atezolizumab plus chemotherapy in treatment of extensive small cell lung cancer: a cost-effectiveness analysis from China.

BACKGROUND: IMpower 133 trial first confirmed the efficacy and safety of adding atezolizumab or placebo to first-line treatment with chemotherapy in patients with extensive-stage small-cell lung cancer (SCLC). While, overprice limited its broad use in clinical. The aim of this study was to evaluate the cost-effectiveness of atezolizumab plus chemotherapy in treatment of extensive SCLC as first line in China. METHODS: A Markov model was established by extracting data from the IMpower 133 trial with untreated extensive SCLC patients. Utility values were obtained from published studies, and the costs were acquired from real world and literature. Additionally, sensitivity analyses based on a willingness-to-pay (WTP) threshold were performed to identify the uncertain parameters of Markov model. RESULTS: Total costs of atezolizumab group were $48,129, while cost of chemotherapy alone was just $12,920 in placebo group. The quality-adjusted life-years (QALYs) in atezolizumab group was just 0.072 higher than that in placebo group (0.858 QALYs vs. 0.786 QALYs). The cost-effectiveness ratio between atezolizumab combination with chemotherapy and chemotherapy alone was $489,013/QALY in China. The net benefit of placebo group was significantly higher than atezolizumab group. One-way sensitivity analyses highlighted that utilities of the progression-free survival (PFS) and progression disease state in placebo group were the most influential parameter. CONCLUSIONS: Atezolizumab combination therapy was not more cost-effective than chemotherapy alone at a WTP threshold of $25,929/QALY in China.

Chemotherapy treatments, costs of care, and survival for patients diagnosed with small cell lung cancer: A SEER-Medicare study.

OBJECTIVES: The effectiveness and costs of new treatments should be assessed in relation to existing practice. We describe treatments, survival and costs for advanced or metastatic small cell lung cancer (SCLC) patients receiving systemic therapy in the period preceding the introduction of immunotherapies. MATERIALS AND METHODS: This was a retrospective cohort study of patients aged ≥65 years, identified using linked Surveillance, Epidemiology, and End Results and Medicare databases. Individuals with a new primary diagnosis of SCLC between January 2007 and December 2013 were followed until December 2014. Chemotherapy treatments, health care visits and costs (in 2016 USD), and survival were determined by line of therapy. RESULTS: A total of 11 812 patients were identified with SCLC. First-line (1L) chemotherapy was received by 6509 (55.1%) patients, most (93.2%) with carboplatin- (71.0%) or cisplatin- (22.2%) based therapies, typically combined with etoposide (79.2%). Second- (2L) and third- (3L) line chemotherapies were received by 2238 (18.9%) and 679 (5.7%) patients, of which 48.4% and 30.9%, respectively, were platinum-based. The median durations of 1L, 2L, and 3L carboplatin-based therapies were 5.9, 4.8, and 5.4 months, respectively, and the corresponding durations of cisplatin-based therapies were 5.3, 4.2, and 5.3 months. During 1L, 2L, and 3L chemotherapies, patients averaged 8.2, 7.4, and 7.3 health care visits per month, respectively, and incurred total mean health care costs of $60 223, $42 636, and $35 903 per patient, respectively. Median survival from the start of 1L, 2L, and 3L chemotherapy was 9.2, 6.0, and 5.7 months, respectively. CONCLUSION: First-line chemotherapy was primarily platinum-based, and a plethora of different regimens was used for 2L and 3L chemotherapies. Median survival from the start of 1L chemotherapy was 9 months, with an associated health care cost of $60 000. These data highlight an unmet medical need among SCLC patients receiving systemic therapy.

Prognostic assessment in patients with newly diagnosed small cell lung cancer brain metastases: results from a real-life cohort.

PURPOSES: Brain metastases (BM) are a frequent complication in small cell lung cancer (SCLC), resulting in a reduced survival prognosis. Precise prognostic assessment is an important foundation for treatment decisions and clinical trial planning. METHODS: Patients with newly diagnosed SCLC BM were identified from the Vienna Brain Metastasis Registry and evaluated concerning prognostic factors. RESULTS: 489 patients (male 62.2%, female 37.8%; median age 61 years) were included. Neurological symptoms were present in 297/489 (60.7%) patients. A- to oligosymptomatic patients (5 vs. 9 months, p = 0.030) as well as patients with synchronous diagnosis of BM and primary tumor (5 vs. 9 months, p = 0.008) presented with improved overall survival (OS) prognosis. RPA (HR 1.66; 95% CI 1.44-1.91; p < 0.001), GPA (HR 1.65; p < 0.001), DS-GPA (HR 1.60; p < 0.001) and LabBM score (HR 1.69; p < 0.001) were statistically significantly associated with OS. In multivariate analysis, DS-GPA (HR 1.59; p < 0.001), neurological deficits (HR 1.26; p = 0.021) and LabBM score (HR 1.57; p < 0.001) presented with statistical independent association with OS. CONCLUSION: A- to oligosymptomatic BM as well as synchronous diagnosis of SCLC and BM were associated with improved OS. Established prognostic scores could be validated in this large SCLC BM real-life cohort.

Cause-specific death assessment of patients with stage I small-cell lung cancer: a competing risk analysis.

Aim: Stage I small-cell lung cancer (SCLC) is a potentially curable disease that needs timely and multidisciplinary management. The aim of this study was to evaluate the probability of cause-specific mortality for patients with stage I SCLC. Material & methods: We identified patients in the SEER database and constructed a proportional subdistribution hazard model to evaluate cancer-specific mortality. A nomogram was built based on Fine and Gray competing risk regression model. Results: A total of 864 stage I SCLC patients were identified. The 5-year cumulative incidence of SCLC-specific mortality was 56.2%, while that for other causes of death was 17.3%. The c-index for the prognostic prediction model was 0.66. Besides, the nomogram was well calibrated. Conclusion: Our nomogram might serve as a reference for clinicians when evaluating the prognosis of stage I SCLC.

A novel approach to determine two optimal cut-points of a continuous predictor with a U-shaped relationship to hazard ratio in survival data: simulation and application.

BACKGROUND: In clinical and epidemiological researches, continuous predictors are often discretized into categorical variables for classification of patients. When the relationship between a continuous predictor and log relative hazards is U-shaped in survival data, there is a lack of a satisfying solution to find optimal cut-points to discretize the continuous predictor. In this study, we propose a novel approach named optimal equal-HR method to discretize a continuous variable that has a U-shaped relationship with log relative hazards in survival data. METHODS: The main idea of the optimal equal-HR method is to find two optimal cut-points that have equal log relative hazard values and result in Cox models with minimum AIC value. An R package 'CutpointsOEHR' has been developed for easy implementation of the optimal equal-HR method. A Monte Carlo simulation study was carried out to investigate the performance of the optimal equal-HR method. In the simulation process, different censoring proportions, baseline hazard functions and asymmetry levels of U-shaped relationships were chosen. To compare the optimal equal-HR method with other common approaches, the predictive performance of Cox models with variables discretized by different cut-points was assessed. RESULTS: Simulation results showed that in asymmetric U-shape scenarios the optimal equal-HR method had better performance than the median split method, the upper and lower quantiles method, and the minimum p-value method regarding discrimination ability and overall performance of Cox models. The optimal equal-HR method was applied to a real dataset of small cell lung cancer. The real data example demonstrated that the optimal equal-HR method could provide clinical meaningful cut-points and had good predictive performance in Cox models. CONCLUSIONS: In general, the optimal equal-HR method is recommended to discretize a continuous predictor with right-censored outcomes if the predictor has an asymmetric U-shaped relationship with log relative hazards based on Cox regression models.

Barriers to Combined-Modality Therapy for Limited-Stage Small Cell Lung Cancer.

Importance: Combined-modality therapy with chemotherapy and radiation therapy plays a crucial role in the upfront treatment of patients with limited-stage small cell lung cancer (SCLC), but there may be barriers to utilization in the United States. Objective: To estimate utilization rates and factors associated with chemotherapy and radiation therapy delivery for limited-stage SCLC using the National Cancer Database. Design, Setting, and Participants: Analysis of initial management of all limited-stage SCLC cases from 2004 through 2013 in the National Cancer Database. Main Outcomes and Measures: Utilization rates of chemotherapy and radiation therapy at time of initial treatment. Multivariable analysis identified independent clinical and socioeconomic factors associated with utilization and overall survival. Results: A total of 70 247 cases met inclusion criteria (55.3% female; median age, 68 y [range, 19-90 y]). Initial treatment was 55.5% chemotherapy and radiation therapy, 20.5% chemotherapy alone, 3.5% radiation therapy alone, and 20.0% neither (0.5% not reported). Median survival was 18.2 (95% CI, 17.9-18.4), 10.5 (95% CI, 10.3-10.7), 8.3 (95% CI, 7.7-8.8), and 3.7 (95% CI, 3.5-3.8) months, respectively. Being uninsured was associated with a lower likelihood of both chemotherapy (odds ratio [OR], 0.65; 95% CI, 0.56-0.75; P < .001) and radiation therapy (OR, 0.75; 95% CI, 0.67-0.85; P < .001) administration on multivariable analysis. Medicare/Medicaid insurance had no impact on chemotherapy use, whereas Medicaid (OR, 0.79; 95% CI, 0.72-0.87; P < .001) and Medicare (OR, 0.86; 95% CI, 0.82-0.91; P < .001) were independently associated with a lower likelihood of radiation therapy delivery. Lack of health insurance (HR, 1.19; 95% CI, 1.13-1.26; P < .001), Medicaid (HR, 1.27; 95% CI, 1.21-1.32; P < .001), and Medicare (HR, 1.12; 95% CI, 1.09-1.15; P < .001) coverage were independently associated with shorter survival on adjusted analysis, while chemotherapy (HR, 0.55; 95% CI, 0.54-0.57; P < .001) and radiation therapy (HR, 0.62; 95% CI, 0.60-0.63; P < .001) were associated with a survival benefit. Conclusions and Relevance: Substantial proportions of patients documented in a major US cancer registry did not receive radiation therapy or chemotherapy as part of initial treatment for limited-stage SCLC, which, in turn, was associated with poor survival. Lack of radiation therapy delivery was uniquely associated with government insurance coverage, suggesting a need for targeted access improvement in this population. Additional work will be necessary to conclusively define exact population patterns, specific treatment deficiencies, and causative factors leading to heterogeneous care delivery.

Geriatric Assessment and Functional Decline in Older Patients with Lung Cancer.

PURPOSE: Older patients with lung cancer are a heterogeneous population making treatment decisions complex. This study aims to evaluate the value of geriatric assessment (GA) as well as the evolution of functional status (FS) in older patients with lung cancer, and to identify predictors associated with functional decline and overall survival (OS). METHODS: At baseline, GA was performed in patients ≥70 years with newly diagnosed lung cancer. FS measured by activities of daily living (ADL) and instrumental activities of daily living (IADL) was reassessed at follow-up to define functional decline and OS was collected. Predictors for functional decline and OS were determined. RESULTS: Two hundred and forty-five patients were included in this study. At baseline, GA deficiencies were present in all domains and ADL and IADL were impaired in 51 and 63% of patients, respectively. At follow-up, functional decline in ADL was observed in 23% and in IADL in 45% of patients. In multivariable analysis, radiotherapy was predictive for ADL decline. No other predictors for ADL or IADL decline were identified. Stage and baseline performance status were predictive for OS. CONCLUSIONS: Older patients with lung cancer present with multiple deficiencies covering all geriatric domains. During treatment, functional decline is observed in almost half of the patients. None of the specific domains of the GA were predictive for functional decline or survival, probably because of the high impact of the aggressiveness of this tumor type leading to a poor prognosis.

Value of Comorbidity Scales for Predicting Survival After Radiochemotherapy of Small Cell Lung Cancer.

The Charlson Comorbidity Index plus three comorbidity scales were evaluated for survival after radiochemotherapy of limited stage SCLC. For the Charlson Comorbidity Index, 2-4 points were compared to 5-8 points. For the Age-Comorbidity Score, 2-6 points were compared to 7-10 points. For the Medical Research Council (MRC) Breathlessness Scale, grades 0-2 were compared to grades 3-5. For the Simplified Comorbidity Score, 0-5 points were compared to 6-11 and 12-17 points. Charlson Comorbidity Index (p = 0.022) and MRC Breathlessness Scale (p < 0.001) showed significant associations with survival, the Age-Comorbidity Score a trend (p = 0.06). For the Simplified Comorbidity Score, no significant correlation was found (p = 0.54). Absolute differences in survival ≥20 % were observed for the MRC Breathlessness Scale at 1, 2, and 3 years, for the Charlson Comorbidity Index at 1 year, and for the Age-Comorbidity Score at 2 years. Thus, particularly the MRC Breathlessness Scale can contribute to personalization of the treatment of SCLC.

The role of receipt and timeliness of treatment in socioeconomic inequalities in lung cancer survival: population-based, data-linkage study.

BACKGROUND: Lung cancer survival is socioeconomically patterned, and socioeconomic inequalities in receipt of treatment have been demonstrated. In England, there are target waiting times for the referral (14 days) and treatment intervals (31 days from diagnosis, 62 days from GP referral). Socioeconomic inequalities in the time intervals from GP referral have been found. Cancer registry, Hospital Episode Statistics and lung cancer audit data were linked in order to investigate the contribution of these inequalities to socioeconomic inequalities in lung cancer survival. METHODS: Logistic regression was used to examine the likelihood of being alive 2 years after diagnosis, by socioeconomic position, for 22,967 lung cancer patients diagnosed in 2006-2009, and in a subset with stage recorded (n=5233). RESULTS: Socioeconomic inequalities in survival were found in a multivariable analysis adjusted for age, sex, histology, year, timely GP referral, performance status and comorbidity, with those in the most deprived socioeconomic group significantly less likely to be alive after 2 years (OR=0.77, 95% CI 0.66 to 0.88, p<0.001). When receipt of treatment was included in the analysis, the association no longer remained significant (OR=0.87, 95% CI 0.75 to 1.00, p=0.06). Addition of timeliness of treatment did not alter the conclusion. Patients treated within guideline targets had lower likelihood of two-year survival. CONCLUSIONS: Socioeconomic inequalities in survival from lung cancer were statistically explained by socioeconomic inequalities in receipt of treatment, but not by timeliness of referral and treatment. Further research is required to determine the currently unexplained socioeconomic variance in treatment rates.

Comparison of demographics, treatment patterns, health care utilization, and costs among elderly patients with extensive-stage small cell and metastatic non-small cell lung cancers.

BACKGROUND: Limited data exist regarding real-world treatment patterns, resource utilization, and costs of extensive-stage small cell lung cancer (esSCLC) among elderly patients in the United States. While abundant data are available on treatment patterns in metastatic non-small cell lung cancer (mNSCLC), to our knowledge no data exist comparing costs and resource use between patients with esSCLC or mNSCLC. METHODS: We retrospectively analyzed administrative claims data (2000-2008) of patients aged ≥65 years from the linked Surveillance, Epidemiology and End Results (SEER)-Medicare database. Patients were selected on the basis of having newly diagnosed esSCLC (n=5,855) or mNSCLC (n=24,090) during 1/1/2000-12/31/2005, and were required to have received cancer-directed therapy. Survival and other measures were compared between esSCLC and mNSCLC patients using Kaplan-Meier log-rank and univariate chi-square and t-tests. Study measures were followed from first diagnosis date of either esSCLC or mNSCLC until the earlier of death or end of the database. RESULTS: Survival between the cohorts did not differ significantly: mean of 10.4 months for esSCLC patients versus 11.1 months for mNSCLC; median survival was 7.4 months versus 5.9 months. A higher percentage of mNSCLC patients (vs. esSCLC) received radiation therapy (75.6% vs. 65.4%; P < 0.001) and surgery (13.6% vs. 7.8%; P < 0.001) during the metastatic disease period. Conversely, a higher percentage of esSCLC patients than mNSCLC patients received chemotherapy (85.5% vs. 60.3%; P < 0.001), red blood-cell transfusion (20.7% vs. 10.9%; P < 0.001), platelet transfusion (5.6% vs. 1.8%; P < 0.001), and growth-factor support (59.0% vs. 39.5%; P < 0.001). esSCLC patients incurred higher lifetime disease-related costs ($44,167 vs. $37,932; P < 0.001) and all-cause costs ($70,549 vs. $67,176; P < 0.001) than mNSCLC patients. CONCLUSIONS: Lifetime total and disease-related costs per patient were high. Increased use of chemotherapy, supportive care therapies (including growth factors), and disease-related hospitalizations were observed in esSCLC patients as compared with mNSCLC patients. Disease-related and all-cause costs for esSCLC also exceeded those of mNSCLC, except for hospice and skilled nursing services. Survival and per-patient costs for both groups underscore the unmet medical need for more effective therapies in patients with esSCLC or mNSCLC.

Impact of prior cancer on eligibility for lung cancer clinical trials.

BACKGROUND: In oncology clinical trials, the assumption that a prior cancer diagnosis could interfere with study conduct or outcomes results in frequent exclusion of such patients. We determined the prevalence and characteristics of this practice in lung cancer clinical trials and estimated impact on trial accrual. METHODS: We reviewed lung cancer clinical trials sponsored or endorsed by the Eastern Oncology Cooperative Group for exclusion criteria related to a prior cancer diagnosis. We estimated prevalence of prior primary cancer diagnoses among lung cancer patients using Surveillance Epidemiology and End Results (SEER)-Medicare linked data. We assessed the association between trial characteristics and prior cancer exclusion using chi-square analysis. All statistical tests were two-sided. RESULTS: Fifty-one clinical trials (target enrollment 13072 patients) were included. Forty-one (80%) excluded patients with a prior cancer diagnosis as follows: any prior (14%), within five years (43%), within two or three years (7%), or active cancer (16%). In SEER-Medicare data (n = 210509), 56% of prior cancers were diagnosed within five years before the lung cancer diagnosis. Across trials, the estimated number and proportion of patients excluded because of prior cancer ranged from 0-207 and 0%-18%. Prior cancer was excluded in 94% of trials with survival primary endpoints and 73% of trials with nonsurvival primary endpoints (P = .06). CONCLUSIONS: A substantial proportion of patients are reflexively excluded from lung cancer clinical trials because of prior cancer. This inclusion criterion is applied widely across studies, including more than two-thirds of trials with nonsurvival endpoints. More research is needed to understand the basis and ramifications of this exclusion policy.

Factors associated with timeliness of post-primary care referral, diagnosis and treatment for lung cancer: population-based, data-linkage study.

BACKGROUND: The NHS Cancer Plan for England set waiting time targets for cancer referral (14 days from GP referral to first hospital appointment) and treatment (31 days from diagnosis, 62 days from urgent GP referral). Interim diagnostic intervals can also be calculated. The factors that influence timely post-primary care referral, diagnosis and treatment for lung cancer are not known. METHODS: Northern and Yorkshire Cancer Registry, Hospital Episode Statistics and lung cancer audit data sets were linked. Logistic regression was used to investigate the factors (socioeconomic position, age, sex, histology, co-morbidity, year of diagnosis, stage and performance status (PS)) that may influence the likelihood of referral, diagnosis and treatment within target, for 28 733 lung cancer patients diagnosed in 2006-2010. RESULTS: Late-stage, poor PS and small-cell histology were associated with a higher likelihood of post-primary care referral, diagnosis and treatment within target. Older patients were significantly less likely to receive treatment within the 31-day (odds ratio (OR)=0.79, 95% confidence interval (CI) 0.69-0.91) and 62-day target (OR=0.80, 95% CI 0.67-0.95) compared with younger patients. CONCLUSIONS: Older patients waited longer for treatment and this may be unjustified. Patients who appeared ill were referred, diagnosed and treated more quickly and this 'sicker quicker' effect may cancel out system socioeconomic inequalities that might result in longer time intervals for more deprived patients.

Health-related quality of life in small-cell lung cancer: a systematic review on reporting of methods and clinical issues in randomised controlled trials.

Small-cell lung cancer represents about 15% of all lung cancers; increasingly, randomised controlled trials of this disease measure the health-related quality of life of patients. In this Systematic Review we assess the adequacy of reporting of health-related quality-of-life methods in randomised controlled trials of small-cell lung cancer, and the potential effect of this reporting on clinical decision making. Although overall reporting of health-related quality of life was acceptable, improvements are needed to optimise the use of health-related quality of life in randomised controlled trials.

A randomized trial of weekly symptom telemonitoring in advanced lung cancer.

CONTEXT: Lung cancer patients experience multiple, simultaneous symptoms related to their disease and treatment that impair functioning and health-related quality of life (HRQL). Computer technology can reduce barriers to nonsystematic, infrequent symptom assessment and potentially contribute to improved patient care. OBJECTIVES: To evaluate the efficacy of technology-based symptom monitoring and reporting in reducing symptom burden in patients with advanced lung cancer. METHODS: This was a prospective, multisite, randomized controlled trial. Two hundred fifty-three patients were enrolled at three sites and randomized to monitoring and reporting (MR) or monitoring alone (MA). Patients completed questionnaires at baseline, 3, 6, 9, and 12 weeks and symptom surveys via interactive voice response weekly for 12 weeks. MR patients' clinically significant symptom scores generated an e-mail alert to the site nurse for management. The primary endpoint was overall symptom burden; secondary endpoints included HRQL, treatment satisfaction, symptom management barriers, and self-efficacy. RESULTS: This randomized controlled trial failed to demonstrate efficacy of symptom monitoring and reporting in reducing symptom burden compared with monitoring alone in lung cancer. HRQL declined over 12 weeks in both groups (P < 0.006 to P < 0.025); at week 12, treatment satisfaction was higher in MA than MR patients (P < 0.012, P < 0.027). Adherence to weekly calls was good (82%) and patient satisfaction was high. CONCLUSION: Feasibility of using a technology-based system for systematic symptom monitoring in advanced lung cancer patients was demonstrated. Future research should focus on identifying patients most likely to benefit and other patient, provider, and health system factors likely to contribute to the system's success.

Assessment of respiration-induced motion and its impact on treatment outcome for lung cancer.

This study presented the analysis of free-breathing lung tumor motion characteristics using GE 4DCT and Varian RPM systems. Tumor respiratory movement was found to be associated with GTV size, the superior-inferior tumor location in the lung, and the attachment degree to rigid structure (e.g., chest wall, vertebrae, or mediastinum), with tumor location being the most important factor among the other two. Improved outcomes in survival and local control of 43 lung cancer patients were also reported. Consideration of respiration-induced motion based on 4DCT for lung cancer yields individualized margin and more accurate and safe target coverage and thus can potentially improve treatment outcome.

Small cell lung cancer: new clinical recommendations and current status of biomarker assessment.

Small-cell lung carcinomas (SCLC) represent 15-18% of all lung cancers. As SCLC has a high propensity for early metastatic dissemination, less than a third of patients have limited disease (T0-1N0-3M0). The new TNM classification should now be used also for SCLC. Platin- and etoposide-based chemotherapy is the cornerstone treatment. Response rates to both chemotherapy and radiotherapy are impressive but relapses are frequent. The current state-of-the-art treatment for MO patients involves platin-etoposide-based chemotherapy, combined with early thoracic radiotherapy. Because of the high risk of brain metastases, prophylactic cranial irradiation is indicated in responders and should be part of the standard management. The 5-year survival rate may reach 25% in MO patients, but does not exceed 10% at 2 years in metastatic patients. Most patients relapse within the first two years, and there are few treatment options in second line as opposed to NSCLC. Many issues are subject for further clinical research such as the biology of this disease to better identify pathways that could be targeted with new drugs, optimisation of systemic treatments and radiotherapy. Pursuing clinical trials at all stages constitutes a challenge for thoracic researchers and oncologists.