Age and the treatment of lung cancer

Lung Cancer: New Directions in Senior Patients Assessment

Age is but one significant prognostic factor in lung cancer, influencing survival, treatment response, and outcomes. This narrative review synthesizes findings from searches of 11 leading databases of research studies, systematic reviews, book chapters, and clinical trial reports on lung cancer in senior patients, with a focus on geriatric assessment as well as biomarkers. Key prognostic factors for lung cancer in seniors include biological age, functional capability, physical and psychological comorbidities, frailty, nutrition, status, and biomarkers like DNA methylation age. We identified the most valuable assessments that balance efficacy with quality of life. Optimizing care and improving outcomes with senior lung cancer patients benefits from a tailored therapeutic approach incorporating a complex geriatric assessment. A multidisciplinary collaboration between geriatricians, oncologists, and pulmonologists is crucial.

Uncovering Health-Care Disparities Through Patient Decisions in Lung Cancer Surgery

INTRODUCTION

Declining cancer surgery represents a conflict between patients' rights to autonomy and providers' perspectives of best practice. We hypothesize that, among patients with nonmetastatic lung cancer, patient demographics would be associated with different rates of declination of lung cancer surgery.

METHODS

Patients with nonmetastatic lung cancer from 2004 to 2018 in the National Cancer Database were identified. Patients were categorized into two groups based on surgical treatment: surgical resection and declined surgery. Patient characteristics were compared using bivariate and multivariate models to identify factors associated with surgical declination. Additionally, we performed subgroup analyses of cT1N0M0 patients with no comorbidities. Survival analysis done using multivariate cox analysis and Kaplan-Meier survival analysis.

RESULTS

478,757 patients were identified. In a multivariate model, declining surgery was associated with increased age (odds ratio 1.09, 1.09-1.10), non-Hispanic Black race (odds ratio 1.95, 1.73-2.21), nonprivate insurance, and lower Socioeconomic Status. In a subgroup of cT1N0M0 patients with no comorbidities, declining surgery was associated with increasing age, non-Hispanic Black race, nonprivate insurance, and socioeconomic status. Patient's that declined surgery demonstrated lower overall survival when compared to patients that underwent surgical resection (5 y overall survival: declined surgery 40% versus underwent resection 72%, P < 0.001).

CONCLUSIONS

Although early-stage lung cancer is potentially curable, many patients decline guideline-based surgery, and have worse overall survival. There are social and economic factors associated with patients declining lung cancer surgery. Providers have an ethical responsibility to understand the basis of patient's decision to decline recommended surgery and address endemic disparities related to race and access to care.

Predictors of Long-Term Survival of Thoracoscopic Lobectomy for Stage IA Non-Small Cell Lung Cancer: A Large Retrospective Cohort Study

The standard of care for patients with early-stage non-small cell lung cancer (NSCLC) is anatomical lung resection with lymphadenectomy. This multicenter, retrospective, cohort study aimed to identify predictors of 5-year survival in patients after thoracoscopic lobectomy for stage IA NSCLC. The study included 1249 patients who underwent thoracoscopic lobectomy for stage IA NSCLC between 17 April 2007, and December 28, 2016. The 5-year survival rate equaled 77.7%. In the multivariate analysis, higher age (OR, 1.025, 95% CI: 1.002 to 1.048; p = 0.032), male sex (OR, 1.410, 95% CI: 1.109 to 1.793; p = 0.005), chronic obstructive pulmonary disease (OR, 1.346, 95% CI: 1.005 to 1.803; p = 0.046), prolonged postoperative air leak (OR, 2.060, 95% CI: 1.424 to 2.980; p < 0.001) and higher pathological stage (OR, 1.271, 95% CI: 1.048 to 1.541; p = 0.015) were related to the increased risk of death within 5 years after surgery. Lobe-specific mediastinal lymph node dissection (OR, 0.725, 95% CI: 0.548 to 0.959; p = 0.024) was related to the decreased risk of death within 5 years after surgery. These findings provide valuable insights for clinical practice and may contribute to improving the quality of treatment of early-stage NSCLC.

Cancer treatment refusal decisions in advanced cancer: a retrospective case-control study

OBJECTIVE

Cancer remains one of the leading causes of death worldwide. Despite advancements in anticancer therapy, some patients decide against treatment. Our study focused on characterising therapy refusal in advanced-stage malignancies and further determining if certain variables significantly correlated with refusal, compared with acceptance.

METHODS

Our inclusion criteria were patients aged 18-75 years, stage IV cancers between 1 January 2010 and 31 December 2015 and treatment refusal (cohort 1 (C1)). A randomly selected group of patients with stage IV cancers who accepted treatment within the same timeframe was used for comparison (cohort 2 (C2)).

RESULTS

There were 508 patients in C1 and 100 patients in C2. Female sex was associated with treatment acceptance (51/100, 51.0%) than refusal (201/508, 39.6%); p=0.03. There were no associations between treatment decisions and race, marital status, BMI, tobacco use, previous cancer history, or family cancer history. Government-funded insurance was associated with treatment refusal (337/508, 66.3%) than acceptance (35/100, 35.0%); p<0.001. Age was associated with refusal (p<0.001). Average age of C1 was 63.1 years (SD:8.1) and C2 was 59.2 years (SD:9.9). Only 19.1% (97/508) in C1 were referred to palliative medicine, with 18% (18/100) in C2; p=0.8. There was a trend for patients who accepted therapy to have more comorbidities per the Charlson Comorbidity Index(p=0.08). The treatment of psychiatric disorders after cancer diagnosis was inversely associated with treatment refusal (p<0.001).

CONCLUSIONS

The treatment of psychiatric disorders after cancer diagnosis was associated with cancer treatment acceptance. Male sex, older age and government-funded health insurance were associated with treatment refusal in patients with advanced cancer. Those who refused treatment were not increasingly referred to palliative medicine.

Factors Associated with the Decision to Decline Chemotherapy in Metastatic Non-Small Cell Lung Cancer

(1) Background: Disparities in cancer treatment and outcomes have long been well-documented in the medical literature. With the eruption of advances in new treatment modalities, the long-existing disparities are now being further uncovered and brought to the attention of the medical community. While social health determinants have previously been linked to treatment disparities in lung cancer, we analyzed data from the National Cancer Database to explore sociodemographic and geographic factors related to accepting or declining physician-recommended chemotherapy. Patients diagnosed with metastatic lung cancer between 2004 and 2016 who declined chemotherapy recommended by their physicians were included in this study. Multivariate logistic regression analysis was performed. Cox Regression and Kaplan-Meier analyses were performed to look for survival characteristics. (2) Results: 316,826 patients with Stage IV lung cancer were identified. Factors related to a higher rate of refusal by patients included older age > 70, female sex, low income, lack of insurance coverage, residency in the New England region, and higher comorbidity. Patients living in areas with lower education were less likely to decline chemotherapy. (3) Conclusion: Further understanding of the factors impacting treatment decisions would be essential to improve the efficacy of care delivery in patients with cancer and reduce reversible causes of disparity.

Sociodemographic Survival Disparities for Lung Cancer in the United States, 2000-2016

BACKGROUND

Understanding the impact of patient and tumor characteristics on lung cancer survival can help build personalized prognostic models and identify health disparities.

METHODS

We identified 557 555 patients aged 25 years and older diagnosed with lung or bronchus carcinoma from the Surveillance, Epidemiology, and End Results database, 2000-2016. We estimated hazard ratios (HR) for demographic (sex, age, race and ethnicity), tumor (stage, histology, year of diagnosis), and geographic characteristics (census tract-level urbanicity, socioeconomic status [SES]), as well as selected interactions, on the rate of lung cancer-specific death using multivariable proportional hazards models.

RESULTS

Women had a higher survival (lower hazard) of lung cancer-specific death than men (HR = 0.83, 95% confidence interval [CI] = 0.82 to 0.83). Hazards differed by race and ethnicity. Regional (HR = 2.41, 95% CI = 2.37 to 2.44) and distant (HR = 6.61, 95% CI = 6.53 to 6.69) tumors were associated with a lower survival (higher hazard) than localized tumors. Small cell tumors were associated with a lower survival (HR = 1.19, 95% CI = 1.18 to 1.20) than non-small cell tumors. Patients diagnosed after 2009 had lower hazards (HR = 0.86, 95% CI = 085 to 0.86) than those diagnosed 2000-2009. Lung cancer-specific survival did not depend on urbanicity after adjusting for census tract-level SES, but survival decreased with decreasing census tract-level SES. Differences in survival between non-Hispanic Black and White patients were greater for younger patients and localized tumors and increased with census tract-level SES. Differences by sex were greatest for young patients and localized tumors.

CONCLUSIONS

Disparities in survival after lung cancer diagnosis remain, with intersectional patterns suggesting differential access to and quality of care. Efforts are needed to ensure that high-risk groups receive guideline-concordant treatment.

Geographical Disparities and Factors Associated With the Decision to Decline Chemotherapy in Breast Cancer

PURPOSE

Social determinants of health have been linked to treatment-related disparities in breast cancer. We analyzed data from a large national registry to explore factors related to accepting or declining recommended chemotherapy and whether patients' decisions vary geographically across the United States.

METHODS

We used the National Cancer Database to study treatment decision making in patients with advanced breast cancer (American Joint Committee on Cancer clinical stage III-IV) between 2004 and 2017. We focused the analysis on patients who were recommended chemotherapy by their physicians but who declined this treatment. Multivariate logistic regression analysis was performed.

RESULTS

A total of N = 215,284 patients with stage III and IV breast cancers were included. Patients in the New England region were more likely to refuse chemotherapy compared with the rest, with patients in the East South Central regions (AL, KY, MS, and TN) and West South Central (AR, LA, OK, and TX) noted to be least likely to refuse chemotherapy. Factors related to a higher rate of refusal by patients included older age > 70 years; hormone receptor-positive tumors; and having higher comorbidity. Patients identified as Hispanic, those who are privately insured, and patients at academic institutions were less likely to decline chemotherapy.

CONCLUSION

This analysis identified a significant difference in rates of refusal of recommended chemotherapy by geographical location, insurance status, and treatment facility after adjusting for known social determinants of health. Further understanding of the factors affecting treatment decisions would be important to improve the efficacy of care delivery in patients with cancer and reduce reversible causes of disparity.

Benchmarking prognosis methods for survivability - A case study for patients with contingent primary cancers

BACKGROUND

There is an increasing number of patients with a first primary cancer who are diagnosed with a second primary cancer, but prognosis methods to predict the survivability of a patient with multiple primary cancers have not been fully benchmarked.

METHODS

This study investigated the five-year survivability prognosis performances of six machine learning approaches. These approaches are: artificial neural network, decision tree (DT), logistic regression, support vector machine, naïve Bayes (NB), and Bayesian network (BN). A synthetic minority over-sampling technique (SMOTE) was used to solve the imbalanced problem, and a nationwide cancer patient database containing 7,845 subjects in Taiwan was used as a sample source. Ten primary and secondary cancers and their key variables affecting the survivability of the patients were identified.

RESULTS

All the models using SMOTE improved sensitivity and specificity significantly. NB has the highest performance in terms of accuracy and specificity, whereas BN has the highest performance in terms of sensitivity. Further, the computational time and the power of knowledge representation of NB, BN, and DT outperformed the others.

CONCLUSIONS

Selecting the appropriate prognosis models to predict survivability of patients with two contingent primary cancers can aid precise prediction and can support appropriate treatment advice.

Deep learning classification of lung cancer histology using CT images

Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reliable method for histology classification, however, recent advances in deep learning for medical image analysis allude to the utility of radiologic data in further describing disease characteristics and for risk stratification. In this study, we propose a radiomics approach to predicting non-small cell lung cancer (NSCLC) tumor histology from non-invasive standard-of-care computed tomography (CT) data. We trained and validated convolutional neural networks (CNNs) on a dataset comprising 311 early-stage NSCLC patients receiving surgical treatment at Massachusetts General Hospital (MGH), with a focus on the two most common histological types: adenocarcinoma (ADC) and Squamous Cell Carcinoma (SCC). The CNNs were able to predict tumor histology with an AUC of 0.71(p = 0.018). We also found that using machine learning classifiers such as k-nearest neighbors (kNN) and support vector machine (SVM) on CNN-derived quantitative radiomics features yielded comparable discriminative performance, with AUC of up to 0.71 (p = 0.017). Our best performing CNN functioned as a robust probabilistic classifier in heterogeneous test sets, with qualitatively interpretable visual explanations to its predictions. Deep learning based radiomics can identify histological phenotypes in lung cancer. It has the potential to augment existing approaches and serve as a corrective aid for diagnosticians.

Immune Modulation in Lung Cancer: Current Concepts and Future Strategies

Cancer immunotherapy represents the most dynamic field of biomedical research currently, with thoracic immuno-oncology as a forerunner. PD-(L)1 inhibitors are already part of standard first-line treatment for both non-small-cell and small-cell lung cancer, while unprecedented 5-year survival rates of 15-25% have been achieved in pretreated patients with metastatic disease. Evolving strategies are mainly aiming for improvement of T-cell function, increase of immune activation in the tumor microenvironment (TME), and supply of tumor-reactive lymphocytes. Several novel therapeutics have demonstrated preclinical efficacy and are increasingly used in rational combinations within clinical trials. Two overarching trends dominate: extension of immunotherapy to earlier disease stages, mainly as neoadjuvant treatment, and a shift of focus towards multivalent, individualized, mutatome-based antigen-specific modalities, mainly adoptive cell therapies and cancer vaccines. The former ensures ample availability of treated and untreated patient samples, the latter facilitates deeper mechanistic insights, and both in combination build an overwhelming force that is accelerating progress and driving the greatest revolution cancer medicine has seen so far. Today, immune modulation represents the most potent therapeutic modality in oncology, the most important topic in clinical and translational cancer research, and arguably our greatest, meanwhile justified hope for achieving cure of pulmonary neoplasms and other malignancies in the next future.

Role of Sevoflurane on Natural Killer Group 2, Member D-Mediated Immune Response in Non-Small-Cell Lung Cancer: An In Vitro Study

Background

The purpose of this study was to investigate the effects of sevoflurane on cancer immunosurveillance and metastasis in non-small-cell lung cancer (NSCLC).

Material/Methods

NCI-H23 cells, a human NSCLC cell line, were incubated with or without sevoflurane at the concentrations of 0, 12.5, 25, 50, 100, and 200 μM for 6 h. Cell viability, the expression of natural killer group 2, member D ligands (NKG2D ligands: UL16-binding proteins 1–3 [ULBP1–3] and major histocompatibility complex class I chain-related molecules A/B [MICA/B]), the expression of matrix metalloproteinases (MMPs), NK cell-mediated cytotoxicity, and cancer cell migration were measured.

Results

At 12.5, 25, 50, and 100 μM, sevoflurane increased the expression of NKG2D ligands (ULBP2–3 and MICA, ULBP1–3, ULBP1–3, and ULBP1, respectively). Sevoflurane decreased the expression of NKG2D ligands at 200 μM (MICA/B). NK cell-mediated lysis of NCI-H23 cells at 200 μM sevoflurane was significantly reduced compared with the control (P=0.025; target cell: effect cell=1: 10). Sevoflurane increased the expression of MMP-1, -2, and -9 and increased cell migration in NCI-H23 cells at 50, 100, and 200 μM (P=0.001, 0.035, and 0.039, respectively, compared with the control after 18 h of wound formation).

Conclusions

Sevoflurane could suppress NKG2D-mediated NK cell cytotoxicity and increased expression of MMPs and migration in NCI-H23 cells. Further research is needed to determine the effects of sevoflurane on cancer immunosurveillance and metastasis in NSCLC.

Survivability modelling using Bayesian network for patients with first and secondary primary cancers

BACKGROUND AND OBJECTIVE

Multiple primary cancers significantly threat patient survivability. Predicting the survivability of patients with two cancers is challenging because its stochastic pattern relates with numerous variables.

METHODS

In this study, a Bayesian network (BN) model was proposed to describe the occurrence of two primary cancers and predict the five-year survivability of patients using probabilistic evidence. Eleven types of major primary cancers and contingent occurrences of secondary cancers were investigated. A nationwide two-cancer database involving 7,845 patients in Taiwan was investigated. The BN topology is rigorously examined and imbalanced dataset is processed by the synthetic minority oversampling technique. The proposed BN survivability prognosis model was compared with benchmark approaches.

RESULTS

The proposed model significantly outperformed the back-propagation neural network, logistic regression, support vector machine, and naïve Bayes in terms of sensitivity, which is a critical performance index for the non-survival group.

CONCLUSIONS

Using the proposed BN model, one can estimate the posterior probabilities for every query provided appropriate prior evidences. The potential survivability information of patients, treatment effects, and socio-demographics factor effects predicted by the proposed model can help in cancer treatment assessment and cancer development monitoring.

Active Treatment Improves Overall Survival in Extremely Older Non-Small Cell Lung Cancer Patients: A Multicenter Retrospective Cohort Study

PURPOSE

As the aging of society progresses, the proportion of extremely older lung cancer patients has also increased; However, studies of these patients with non-small cell lung cancer are limited. Therefore, we investigated the initial treatment modalities and survival outcomes for patients aged 80 years or over.

Materials and Methods

We included a multicenter retrospective cohort from the Korean Association for Lung Cancer Registry, which surveys 10% of the newly diagnosed lung cancer patients across 52 hospitals in Korea. We analyzed and compared the 2014-2016 data of the non-small cell lung cancer patients aged ≥ 80 years and those aged < 80 years.

RESULTS

Of the 6,576 patients reviewed, 780 patients were aged ≥ 80 years, and 5,796 patients were aged < 80 years. In the patients aged ≥ 80 years, surgery and radiation therapy resulted in longer patient survival among those with a resectable tumor (stage I-II) than the best supportive care (median survival, not reached [surgery] vs. 32.2 months [radiation therapy] vs. 11.43 months [best supportive care]). The duration of survival in patients with advanced-stage (IV) lung cancers was higher after chemotherapy than after the best supportive care (median survival, 8.63 months vs. 2.5 months). Patients with stage IV adenocarcinoma who received targeted therapy had better survival than those who did not (median survival, 9.0 months vs. 4.3 months).

CONCLUSION

Even in extremely older patients, active treatments, such as surgery, radiation therapy, and chemotherapy, can result in better survival outcomes than the best supportive care.

A Chitosan-PLGA based catechin hydrate nanoparticles used in targeting of lungs and cancer treatment

OBJECTIVE

To prepare a novel Chitosan (CS)-coated-PLGA-NPs of catechin hydrate (CTH) and to improve lungs bioavailability via direct nose to lungs-delivery for the comparative assessment of a pulmokinetics study by the first-time UHPLC-MS/MS developed method in the treatment of lungs cancer via anticancer activities on H1299 lung cancer cells.

MATERIAL AND METHODS

PLGA-NPs was prepared by solvent evaporation (double emulsion) method followed by coated with chitosan (CS) and evaluated based on release and permeation of drug, a comparative pulmokinetics study with their anticancer activities on H1299 lung cancer cells.

RESULTS

The particle size, PDI and ZP of the optimized CAT-PLGA-NPs and CS-CAT-PLGA-NPs were determined 124.64 ± 12.09 nm and 150.81 ± 15.91 nm, 0.163 ± 0.03 and 0.306 ± 0.03, -3.94 ± 0.19 mV and 26.01 ± 1.19 mV respectively. Furthermore, higher entrapment efficiency was observed for CS-CAT PLGA NPs. The release pattern of the CS-CAT-PLGA NPs was found to favor the release of entrapped CAT within the cancer microenvironment. CS-CAT-PLGA-NPs exposed on H1299 cancer cells upto 24.0 h was found to be higher cytotoxic as compared to CAT-solution (CAT-S). CS-CAT-PLGA-NPs showed higher apoptosis of cancer cells after their exposure as compared to CAT-S. CS-CTH-PLGA-NPs showed tremendous mucoadhesive-nature as compared to CTH-S and CS-CTH-PLGA NPs by retention time (RT) of 0.589 min, and m/z of 289.21/109.21 for CTH alongwith RT of 0.613 min and m/z of 301.21/151.21 was found out for IS (internal standard), i.e. Quercetin). Likewise, for 1-1000 ng mL-1 (linear range) of % accuracy (92.01-99.31%) and %CV (inter & intra-day, i.e. 2.14-3.33%) was determined. The improved Cmax with AUC0-24 was observed extremely significant (p < 0.001) via i.n. as compared oral and i.v. in the wistar rat's lungs. The CS-approach was successfully designed and safely delivered CAT to the lungs without causing any risk.

CONCLUSION

CS-CTH-PLGA-NPs were showed a significant role (p < 0.001) for the enhancement of lungs-bioavailability and potentially promising approach to treat lung cancers. CS-CTH-PLGA-NPs did not cause any toxicity, it showed safety and have no obvious toxic-effects on the rat's lungs and does not produce any mortality followed by no abnormal findings in the treated-rats.

Transcriptional profiling of long-intergenic noncoding RNAs in lung squamous cell carcinoma and its value in diagnosis and prognosis

Background

Long intergenic noncoding RNAs (lincRNAs) are a series of novel transcribed regions expressed in cancers that may represent candidate biomarkers for lung squamous cell carcinoma (LSqCC) treatment. In this study, we evaluated the lincRNA profile in LSqCC patients and screened valuable lincRNAs for diagnosis and prognosis.

Methods

Transcriptome profiling of 549 samples derived from 501 LSqCC patients were identified in TCGA database. 48 patients had paired primary tumor (PT) and solid normal (SN) tissue samples, while 453 patients had only PT samples. 1,771 lincRNA candidates were evaluated. Paired test (Wilcoxon two‐sample paired signed rank tests) was performed in paired PT and SN samples. Logistic regression analysis were performed in independent 453 PT samples and 48 SN samples to screen the significant lincRNAs candidates for malignances. Independent 501 PT samples were further used to screen the significant lincRNAs candidates for prognosis.

Results

Among 1,771 lincRNAs, 10 lincRNAs were significant highly‐expressed risk candidates in PT samples, and 10 protective lincRNAs candidates were significant lowly‐expressed in PT samples. Among 10 highly‐expressed risk lincRNAs, a small panel of LINC00487, LINC01927, and C10orf143 (LINC00959) could effectively predict malignancies in paired samples (AUC = 0.7274, 95%CI = (0.6264, 0.8285)). When combined with protective lincRNA candidates LINC02315, LINC00491, and LINC01697, the predictive efficiency was greatly improved in both paired samples (AUC = 0.8030, 95%CI = (0.7250, 0.8810)) and independent samples (AUC = 0.7481, 95%CI= (0.6642, 0.8320)). Additionally, three highly‐expressed risk lincRNAs, LINC01031, LINC01088, and LINC01931, were significantly associated with poor prognosis in PT samples, suggesting potential targets for anti‐LSqCC treatment.

Conclusion

Therefore, lincRNAs could be promising biomarkers for predicting malignancies and potential anti‐LSqCC targets for drug development.

Influence of Sociodemographic Factors on Treatment Decisions in Non-Small-Cell Lung Cancer

INTRODUCTION

In stage IV non-small-cell lung cancer (NSCLC), survival has significantly improved. Despite such trends, it has been noted that patients frequently refuse treatment. Therefore, we explored the factors associated with treatment refusal in NSCLC.

PATIENTS AND METHODS

Utilizing the National Cancer Data Base (NCDB), we identified all stage IV NSCLC cases from 2004 to 2014. Patients who received cancer treatment outside of the reporting facility were excluded. Multivariable logistic regression models were used to determine associations with treatment refusal.

RESULTS

A total of 341,993 patients were identified; 5.4% of patients refused radiotherapy and 10.3% refused chemotherapy despite provider recommendations. The proportion of patients refusing radiotherapy and chemotherapy increased over time from 4.2% to 7.3% and 7.9% to 15%, respectively (P < .001). In multivariable analysis, men were less likely to refuse treatment compared to women (respectively, odds ratio = 0.80; 95% confidence interval, 0.76-0.84; P < .001; odds ratio = 0.82; 95% confidence interval, 0.80-0.85; P < .001, respectively). Factors associated with radiotherapy refusal included: Medicaid or Medicare as primary insurance, uninsured status, low household median income, and lower educational level. Regarding chemotherapy, uninsured patients, Medicaid patients, and patients with a high comorbidity index were more likely to refuse chemotherapy. Asians had lower rates of chemotherapy refusal relative to non-Hispanic whites. Non-Hispanic whites, Hispanics, and Asians had increasing chemotherapy refusal rates over time, while non-Hispanic blacks had less pronounced trends over time.

CONCLUSION

Socioeconomic factors rather than race/ethnicity appear to influence the refusal of cancer treatment in patients with stage IV NSCLC. Assessing socioeconomic challenges should be an essential part of patient evaluation when discussing treatment options.

Efficacy and tolerance of thoracic radiotherapy in the oldest old patients: A case series

BACKGROUND

There are only scarce data on the management of nonagenarians with lung cancer, and more particularly on the place of radiation therapy. The aim of the present study was to retrospectively evaluate the efficacy and tolerance of radiotherapy (RT) in nonagenarians with thoracic cancer.

PATIENTS AND METHODS

Records from RT departments from four institutions were reviewed to identify patients 90 years old of age and older undergoing RT over the past decade for thoracic cancer and more particularly lung cancer. Tumors' characteristics as well as treatment specificities and its intent were examined.

RESULTS

Thirteen patients receiving RT courses were identified, mean age 91.9 years. Treatment was given with curative and palliative intent in 15.4% and 84.6%, respectively. The median total prescribed dose was 30 Gy (4-70). The median number of fractions was equal to 10 (1-35). The median dose received for each fraction was 3 Gy (1.7-7). RT could not be completed in 2 patients (15.4%). At last follow-up, 11 patients (76.9%) were deceased, cancer being the cause of death for 90% of them. Most toxicities were grade 1 or 2. Two patients (15.4% of cases) have developed grade 2 toxicity during treatment. One patient (7.7% of cases) experienced an acute grade 3 toxicity.

CONCLUSION

The study shows that RT for thoracic cancer is feasible in nonagenarians. Although the definitive benefit of RT could not be addressed here, hypofractionated therapy allowed a certain measure of control with acceptable side effects.

Initial platelet-to-lymphocyte count as prognostic factor in limited-stage small cell lung cancer

Aim: To assessed the prognostic significance of pretreatment platelet-to-lymphocyte ratio (PLR) in patients with limited-stage small cell lung cancer (LS-SCLC). Methods: We retrospectively analyzed 286 patients with LS-SCLC. Results: Sixty received chemotherapy alone, 158 sequential chemo- and radiotherapy, 38 concurrent chemo- and radiotherapy and 30 surgery combined with therapy. The cut-off value of pretreatment PLR was 152.1. The median progression free survival (PFS) and overall survival (OS) in the low and high PLR groups were 27.4 versus 19.5 (p = 0.002) and 14.9 versus 11.4 (p = 0.003) months. Multivariate analysis confirmed that PLR was an independent prognostic factor of OS (hazard ratio = 1.326; p = 0.040) and PFS (hazard ratio = 1.306; p = 0.044), respectively. Conclusion: Pretreatment PLR is an independent prognostic factor of OS and PFS in patients with LS-SCLC.

Disparities and Trends in Genetic Testing and Erlotinib Treatment among Metastatic Non-Small Cell Lung Cancer Patients

BACKGROUND

Despite reports of socioeconomic disparities in rates of genetic testing and targeted therapy treatment for metastatic non-small cell lung cancer (NSCLC), little is known about whether such disparities are changing over time.

METHODS

We performed a retrospective analysis to identify disparities and trends in genetic testing and treatment with erlotinib. Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database, we identified 9,900 patients with stage IV NSCLC diagnosed in 2007 to 2011 at age 65 or older. We performed logistic regression analyses to identify patient factors associated with odds of receiving a genetic test and erlotinib treatment, and to assess trends in these differences with respect to diagnosis year.

RESULTS

Patients were more likely to receive genetic testing if they were under age 75 at diagnosis [odds ratio (OR), 1.55] independent of comorbidity level, and this age-based gap showed a decrease over time (OR, 0.93). For untested patients, erlotinib treatment was associated with race (OR, 0.58, black vs. white; OR, 2.45, Asian vs. white), and was more likely among female patients (OR, 1.45); for tested patients, erlotinib treatment was less likely among low-income patients (OR, 0.32). Most of these associations persisted or increased in magnitude.

CONCLUSIONS

Race and sex are associated with rates of erlotinib treatment for patients who did not receive genetic testing, and low-income status is associated with treatment rates for those who did receive testing. The racial disparity remained stable over time, while the income-based disparity grew larger.

IMPACT

Attention to reducing disparities is needed as precision cancer treatments continue to be developed.

Limited resection in clinical stage I non-small cell lung cancer patients aged 75 years old or more: a meta-analysis

Background

This study aims to compare perioperative and oncologic efficacy of limited resection with lobectomy in clinical stage I non-small cell lung cancer (NSCLC) patients ≥75 years old.

Methods

A systemic search of database including PubMed, OVID and Cochrane was carried out to identify the potential relevant studies published. Data extracted were analyzed with Revman 5.1.

Results

5,304 citations were identified by the electronically search. A total of 3,461 patients were included, of whom 1,323 received limited resection and 2,139 received lobectomy. There was higher postoperative complication ratio after lobectomy (32.93% vs. 23.87%, RR =0.71; 95% CI, 0.54-0.93; P=0.01). There were similar total recurrent (18.56%, RR =1.15; 95% CI, 0.82-1.61; P=0.43), and distant recurrent ratio (16.17%, RR =0.67; 95% CI, 0.43-1.05; P=0.08) between groups. Lower local-regional recurrent ratio (2.40%, RR =4.31; 95% CI, 1.98-9.39; P<0.001) was observed after lobectomy. Compared with lobectomy, patients received limited resection showed poorer overall survival (HR =1.24; 95% CI, 1.07-1.44; P=0.004) and lung cancer specific survival (HR =1.37; 95% CI, 1.14-1.64; P<0.001).

Conclusions

This analysis showed superior lung cancer specific survival, and overall survival after lobectomy over limited resection for clinical stage I NSCLC patients aged ≥75 years old. Our results confirmed that lobectomy should be considered in aged patients if tolerable.

Efficacy and Safety of Ramucirumab With Docetaxel Versus Placebo With Docetaxel as Second-Line Treatment of Advanced Non-Small-Cell Lung Cancer: A Subgroup Analysis According to Patient Age in the REVEL Trial

INTRODUCTION

Ramucirumab, a recombinant human immunoglobulin G1 monoclonal antibody receptor antagonist designed to block the ligand-binding site of vascular endothelial growth factor receptor-2 (VEGFR-2), was evaluated as second-line treatment in combination with docetaxel in patients with non-small-cell lung cancer in the REVEL trial (NCT01168973). Ramucirumab significantly improved overall survival (OS) and progression-free survival (PFS). We report age subgroup analysis results primarily on the basis of a 65-year cutoff.

PATIENTS AND METHODS

Patients were randomized 1:1 to ramucirumab with docetaxel or placebo with docetaxel (n = 1253). Of these, 798 were younger than 65 years (ramucirumab, n = 391; control, n = 407) and 455 were 65 years or older (ramucirumab, n = 237; control, n = 218). Treatment comprised 21-day cycles of 75 mg/m2 docetaxel with 10 mg/kg ramucirumab or placebo. Prespecified age subgroup analyses were performed, including OS, PFS, and objective response rate. Quintiles age analysis was conducted to establish a relationship between efficacy and age. The Lung Cancer Symptom Scale (LCSS) measured quality of life outcomes. Safety was assessed according to adverse events (AEs).

RESULTS

Patients younger than 65 years showed favorable OS outcomes with ramucirumab treatment (hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.62-0.87; P < .001) and PFS (HR, 0.68; 95% CI, 0.59-0.79; P < .001). In patients 65 years or older, benefits of ramucirumab were not as evident; after model adjustment for prognostic factors, OS and PFS HRs were 0.96 (95% CI, 0.77-1.21; P = .04) and 0.87 (95% CI, 0.71-1.05; P = .03), respectively. Age analysis according to quintiles showed HRs favoring ramucirumab for all age groupings. LCSS scores and AEs did not considerably differ between age groups.

CONCLUSION

In this subgroup analysis, true treatment effect differences on the basis of age have not been established, and treatment should not be deterred solely because of age.

Treatment Toxicity in Elderly Patients With Advanced Non-Small Cell Lung Cancer

OBJECTIVES

Toxicity is a main concern limiting the use of chemotherapy and radiotherapy (RT) for elderly patients with non-small cell lung cancer (NSCLC). The objective of this study was to assess the rates of treatment-related toxicity among elderly stage IIIB and IV NSCLC patients.

MATERIALS AND METHODS

We used the Surveillance, Epidemiology, and End Results registry linked to Medicare records to identify 2596 stage IIIB and 14,803 stage IV NSCLC patients aged 70 years and above, diagnosed in 2000 or later. We compared rates of toxicity requiring hospitalization according to treatment (chemotherapy, RT, or chemoradiation [CRT]) in unadjusted and adjusted models controlling for selection bias using propensity scores.

RESULTS

Among stage IIIB patients, rates of any severe toxicity were 10.1%, 23.8%, 30.4%, and 39.2% for patients who received no treatment, RT, chemotherapy alone, and CRT, respectively. In stage IV patients, rates of any severe toxicity were 31.5% versus 13.5% among those treated with and without chemotherapy, respectively. In stage IIIB patients treated with CRT, the most common toxicities was esophagitis (odds ratio, 48.5; 95% confidence interval, 6.7-350.5). Among stage IV patients treated with chemotherapy, the risk of toxicity was highest for neutropenia (odds ratio, 8.4; 95% confidence interval, 6.1-11.5).

CONCLUSIONS

Toxicity was relatively common among stage IIIB patients with up to a 6-fold increase in elderly individuals treated with CRT and a 4-fold increase in toxicities among stage IV patients. This information should be helpful to guide discussions about the risk-benefit ratio of chemotherapy and RT in elderly patients with advanced NSCLC.

Treatment of limited disease small cell lung cancer: the multidisciplinary team

Small cell lung cancer (SCLC) presents multiple interdisciplinary challenges with several paradigm shifts in its treatment in recent years. SCLC treatment requires multidisciplinary management and timely treatment. The aim of this review is to focus on the team management aspects in the treatment of limited disease SCLC and how this can contribute towards improving outcomes.

Risk factors associated with treatment refusal in lung cancer

Background

The incidence of lung cancer is increasing with longer life expectancy. Refusal of active treatment for cancer is prone to cause patients to experience more severe symptoms and shorten survival. The purpose of this study was to define the factors related to refusal or abandonment of active therapy in lung cancer.

Methods

We retrospectively reviewed the data of 617 patients from medical records from 2010 to 2014. Two groups were formed: 149 patients who refused anti‐cancer treatment and allowed only palliative care were classified into the non‐treatment group, while the remaining 468 who received anti‐cancer treatment were classified into the treatment group.

Results

The groups differed significantly in age, employment, relationship status, number of offspring, educational status, body mass index, presence of chest and systemic symptoms, Charlson Comorbidity Index, Eastern Cooperative Oncology Group score, and tumor node metastasis stage (P < 0.05). In logistic regression analysis, age (odds ratio [OR] 1.10, 95% confidence interval [CI] 1.07–1.13), educational status lower than high school (OR 1.95, 95% CI 1.2–3.2), no history of surgery (OR 2.29, 95% CI 1.4–3.7), body mass index < 18.5 (OR 2.49, 95% CI 1.3–4.7), and a high Eastern Cooperative Oncology Group score of 3 or 4 (OR 5.02, 95% CI 2.3–10.8) were significant factors for refusal of cancer treatment.

Conclusion

Individual factors, such as old age, low educational status, low weight, and poor performance status can influence refusal of cancer treatment in patients with lung cancer, and should be considered prior to consultation with patients.

Curative resection for lung cancer in octogenarians is justified

BACKGROUND

Due to an increased life expectancy in a healthy aging population and a progressive incidence of lung cancer, curative pulmonary resections can be performed even in octogenarians. The present study aims to investigate whether surgery is justified in patients reaching the age of 80 years and older who undergo resection for non-small cell lung cancer (NSCLC).

METHODS

In this retrospective multi-centre analysis, the morbidity, mortality and long-term survival of 88 patients (24 females) aged ≥80 who underwent complete resection for lung cancer between 2000 and 2013 were analysed. Only fit patients with few comorbidities, low cardiopulmonary risk, good quality of life and a life expectancy of at least 5 years were included.

RESULTS

Curative resections from three thoracic surgery centres included 61 lobectomies, 9 bilobectomies, 6 pneumonectomies and 12 segmentectomies or wide wedge resections with additional systematic mediastinal lymphadenectomy in all cases. Final histology revealed squamous cell carcinoma [33], adenocarcinoma [41], large cell carcinoma [5] or other histological types [9]. Lung cancer stage distribution was 0 [1], I [53], II [17] and IIIA [14]. The overall 90-day mortality was 1.1%. The median hospitalisation and chest drainage times were 10 days (range, 5-27 days) and 5 days (range, 0-17 days), respectively. Thirty-six patients were complication-free (41%). In particular, pulmonary complications occurred in 25 patients (28%). In addition, 23 patients (26%) developed cardiovascular complications requiring medical intervention, while 24 patients (27%) had cerebrovascular complications, urinary tract infection and others. The median survival time was 51 months (range, 1-110 months), and the 5-year overall survival reached 45% without significance between tumour stages.

CONCLUSIONS

Curative lung resections in selected octogenarians can be safely performed up to pneumonectomy for all tumour stages with a perioperative mortality, morbidity, and 5-year survival rate comparable to younger cohorts.

Diagnostic yield and safety of C-TBNA in elderly patients with lung cancer

Conventional transbronchial needle aspiration (C-TBNA) is a minimally invasive technique used primarily in the diagnosis and staging of lung cancer. Currently lung cancer is mostly considered a disease of the elderly and the management of this disease in older patients is a growing concern. In this study we aimed to assess the diagnostic yield and safety of C-TBNA in elderly patients. A retrospective review of 88 consecutive C-TBNA procedures for nodal staging in suspected or confirmed primary lung cancer or pathological confirmation in suspected advanced lung cancer was performed. Patients were divided into less than 70 (<70yrs) or 70 and older (≥70yrs) age groups for analysis. There were no significant differences either in the diagnostic yield (69% in patients aged < 70 yrs and 74% patients aged ≥ 70 yrs (p=0.5) nor in the complication rate (respectively 8.8% in patients aged < 70 yrs and 6.9% in patients aged ≥ 70 yrs (p=0.7) between the two age groups. Reported complications were minor bleeding and poor tolerance; no major complications were observed. Based on our experience, C-TBNA represents a useful and safe alternative procedure for the diagnosis and staging of lung cancer in elderly patients.

Patient outcomes of monotherapy with hypofractionated three-dimensional conformal radiation therapy for stage T2 or T3 non-small cell lung cancer: a retrospective study

Background

Hypofractionated three-dimensional conformal radiation therapy (3D-CRT) is a treatment option for patients with early-stage non-small cell lung cancer (NSCLC) who are medically unable to tolerate surgery and who are not amenable to treatment with stereotactic body radiotherapy. This study assessed the efficacy and safety of 3D-CRT as a monotherapy in patients with localized stage T2 or T3 NSCLC.

Methods

This retrospective study consisted of 29 patients (20 males) aged 56–89 years (median, 76 years) with histologically confirmed NSCLC who underwent 3D-CRT between 2005 and 2014.

Results

The median duration of patient observation was 17.0 months (range, 1.0–64.0 months). Complete and partial responses occurred in 13.8 and 44.8 % of patients, respectively, and the overall response rate was 58.2 %. Meanwhile, the 1- and 3-year survival rates were 65.8 and 33.8 %, respectively. In T2 NSCLC, the median survival time (MST) was 12 months, and the 1- and 3-year survival rates were 62.4 and 21.4 %, respectively. In T3 NSCLC, the MST was 17 months, and the 1- and 3-year survival rates were 72.9 and 48.6 %, respectively. Severe toxicities (Common Terminology Criteria Grade 3) were not observed. The mean biologically effective dose required to improve local control exceeded 80 Gy (range, 67.2–96.0 Gy).

Conclusion

These findings support a role for 3D-CRT as a treatment option for patients who refuse or could not tolerate surgical therapy with early-stage NSCLC. Although this was a small, retrospective study, it may form the basis for future, larger controlled studies on 3D-CRT as a monotherapy for NSCLC.

Comparison between effects of free curcumin and curcumin loaded NIPAAm-MAA nanoparticles on telomerase and PinX1 gene expression in lung cancer cells

BACKGROUND

Herbal compounds such as curcumin which decrease telomerase and gene expression have been considered as beneficial tools for lung cancer treatment. In this article, we compared the effects of pure curcumin and curcumin-loaded NIPAAm-MAA nanoparticles on telomerase and PinX1 gene expression in a lung cancer cell line.

MATERIALS AND METHODS

A tetrazolium-based assay was used for determination of cytotoxic effects of curcumin on the Calu-6 lung cancer cell line and telomerase and pinX1 gene expression was measured with real-time PCR.

RESULTS

MTT assay showed that Curcumin-loaded NIPAAm-MAA inhibited the growth of the Calu-6 lung cancer cell line in a time and dose-dependent manner. Our q-PCR results showed that the expression of telomerase gene was effectively reduced as the concentration of curcumin-loaded NIPAAm-MAA increased while expression of the PinX1 gene became elevated.

CONCLUSIONS

The results showed that curcumin- loaded- NIPAAm-MAA exerted cytotoxic effects on the Calu-6 cell line through down-regulation of telomerase and stimulation of pinX1 gene expression. NIPPAm-MAA could be good carrier for such kinds of hydrophobic agent.

Probabilistic modeling of short survivability in patients with brain metastasis from lung cancer

The prediction of substantially short survivability in patients is extremely risky. In this study, we proposed a probabilistic model using Bayesian network (BN) to predict the short survivability of patients with brain metastasis from lung cancer. A nationwide cancer patient database from 1996 to 2010 in Taiwan was used. The cohort consisted of 438 patients with brain metastasis from lung cancer. We utilized synthetic minority over-sampling technique (SMOTE) to solve the imbalanced property embedded in the problem. The proposed BN was compared with three competitive models, namely, naive Bayes (NB), logistic regression (LR), and support vector machine (SVM). Statistical analysis showed that performances of BN, LR, NB, and SVM were statistically the same in terms of all indices with low sensitivity when these models were applied on an imbalanced data set. Results also showed that SMOTE can improve the performance of the four models in terms of sensitivity, while keeping high accuracy and specificity. Further, the proposed BN is more effective as compared with NB, LR, and SVM from two perspectives: the transparency and ability to show the relation of factors affecting brain metastasis from lung cancer; it allows decision makers to find the probability despite incomplete evidence and information; and the sensitivity of the proposed BN is the highest among all standard machine learning methods.

A retrospective study of risk and prognostic factors in relation to lower respiratory tract infection in elderly lung cancer patients

Lung cancer (LCa) is one of the most common and deadly malignancies in elderly patients. During the course of the disease, these patients frequently present with lower respiratory tract infection. Therefore, this study aims to investigate the clinical features of lower respiratory tract infection in elderly LCa patients and evaluate the impact on overall survival rate. Clinical and laboratory data were analyzed retrospectively for a total of 1936 patients that were over 60-years-old. Patients were classified into three groups based on pulmonary diseases: Group 1, lung cancer (LCa); Group 2, chronic obstructive pulmonary disease (COPD); and Group 3, other medical diseases without pulmonary problems (OMD). Univariate and multivariate analysis were used to evaluate related risk factors of infections and prognostic factors. The infection rate of the LCa group (46.25%) was significantly higher than the COPD (31.40%) and OMD (23.33%) groups. Polymicrobial infections were most prevalent in the LCa group (28.75%), which far exceeded the prevalence in COPD (11.05%) and OMD (4.44%) groups. In LCa patients, the most frequent pathogens were Gram-negative bacteria (44.87%), followed by fungi (34.62%) and Gram-positive bacteria (20.51%), the major pattern of polymicrobial infections was mixed Gram-negative bacteria and fungi (43.48%). Multivariate analysis revealed that COPD, pleural effusion, anatomical type, low cellular immune function, and length of hospital stay were related risk factors of lower respiratory tract infection in elderly LCa patients. A multivariate Cox proportional hazards regression model revealed that age, stage of TNM, surgical resection, antitumor therapy, lower respiratory tract infection, COPD, and pleural effusion were independent prognostic factors for cancer-related death. Patients who received effective antimicrobial treatment had a better outcome than those who did not respond to antimicrobial drugs (HR = 0.458, P < 0.05). Understanding lower respiratory tract infection in elderly LCa patients is vital if we are to set up corresponding measures and to target effective antimicrobial treatment.

Factors associated with lung cancer patients refusing treatment and their survival: a national cohort study under a universal health insurance in Taiwan

Background

Lung cancer is the leading cause mortality among all cancers in Taiwan. Although Taiwan offers National Health Insurance (NHI), occasionally, patients refuse treatment. This study examined the patient characteristics and factors associated with lung cancer patients refusing cancer treatment in four months after cancer diagnosed and compared the survival differences between treated and non-treated patients.

Methods

The study included 38584 newly diagnosed lung cancer patients between 2004 and 2008, collected from the Taiwan Cancer Registry, which was linked with NHI research database and Cause of Death data set. Logistic regression was conducted to analyze factors associated with treatment refusal. The Cox proportional hazards model was used to examine the effects of treatment and non-treatment on patient survival and the factors affecting non-treatment patient survival.

Results

Among the newly diagnosed cancer patients, older adults, or those who had been diagnosed with other catastrophic illnesses, an increased pre-cancer Charlson Comorbidity Index (CCI) score, and advanced stage cancer exhibited an increased likelihood of refusing treatment. Compared with treated patients, non-treated patients showed an increased mortality risk of 2.09 folds. The 1-year survival rate of treated patients (53.32%) was greater than that of non-treated patients (21.44%). Among the non-treated patients, those who were older, resided in lowly urbanized areas, had other catastrophic illnesses, a CCI score of ≥4, advanced cancer, or had received a diagnosis from a private hospital exhibited an increased mortality risk.

Conclusions

Despite Taiwan's NHI system, some lung cancer patients choose not to receive cancer treatment and the mortality rate for non-treated patients is significantly higher than that of patients who undergo treatment. Therefore, to increase the survival rate of cancer patients, treatment refusal should be addressed.

The clinical significance of cytology versus histology-based diagnosis in small cell lung cancer: a retrospective study

OBJECTIVES

The aim of this study was to investigate the clinical significance of cytology versus histology-based diagnosis among patients diagnosed with small cell lung cancer (SCLC).

MATERIALS AND METHODS

Retrospective analysis of medical records of 443 patients with histologically or cytologically confirmed small cell lung carcinoma (SCLC) was performed. All patients received platinum-based chemotherapy regimens. Survival data (overall survival) were compared between patients with histology or cytology-based diagnosis in the overall study population as well as after stratification of patients according to disease stage (limited or extensive) at the time of diagnosis.

RESULTS

Distribution of demographics and clinicopathological characteristics among the two groups ("histology" and "cytology") was similar. No statistically significant differences in the survival curves between the "histology" and "cytology" groups were found in the overall study population (log rank test, p=0.237), as well as in the subgroup of patients with limited disease (log rank test, p=0.474). In contrast, patients with histology-based diagnosis had a statistically significant longer survival as compared to those with cytology-based diagnosis in the extensive disease subgroup (log rank test, p=0.031), but this association was not retained after adjusting the analysis for demographics and clinical characteristics via a Cox regression model (HR=1.18, 95% CI: 0.96-1.44, p=0.110).

CONCLUSION

The results of our study suggest that the type of diagnostic modality employed (histology or cytology-based) for the establishment of a diagnosis of SCLC may not have a significant effect on the overall survival of patients. Further studies are warranted to further investigate this important, yet rather unexplored, issue.

Small-cell lung cancer in England: trends in survival and chemotherapy using the National Lung Cancer Audit

Background

The purpose of this study was to identify trends in survival and chemotherapy use for individuals with small-cell lung cancer (SCLC) in England using the National Lung Cancer Audit (NLCA).

Methods

We used data from the NLCA database to identify people with histologically proven SCLC from 2004–2011. We calculated the median survival by stage and assessed whether patient characteristics changed over time. We also assessed whether the proportion of patients with records of chemotherapy and/or radiotherapy changed over time.

Results

18,513 patients were diagnosed with SCLC in our cohort. The median survival was 6 months for all patients, 1 year for those with limited stage and 4 months for extensive stage. 69% received chemotherapy and this proportion changed very slightly over time (test for trends p = 0.055). Age and performance status of patients remained stable over the study period, but the proportion of patients staged increased (p-value<0.001), mainly because of improved data completeness. There has been an increase in the proportion of patients that had a record of receiving both chemotherapy and radiotherapy each year (from 19% to 40% in limited and from 9% to 21% in extensive stage from 2004 to 2011). Patients who received chemotherapy with radiotherapy had better survival compared with any other treatment (HR 0.24, 95% CI 0.23–0.25).

Conclusion

Since 2004, when the NLCA was established, the proportion of patients with SCLC having chemotherapy has remained static. We have found an upward trend in the proportion of patients receiving both chemotherapy and radiotherapy which corresponded to a better survival in this group, but as it only applied for a small proportion of patients, it was not enough to change the overall survival.

Modeling and predicting the occurrence of brain metastasis from lung cancer by Bayesian network: a case study of Taiwan

The Bayesian network (BN) is a promising method for modeling cancer metastasis under uncertainty. BN is graphically represented using bioinformatics variables and can be used to support an informative medical decision/observation by using probabilistic reasoning. In this study, we propose such a BN to describe and predict the occurrence of brain metastasis from lung cancer. A nationwide database containing more than 50,000 cases of cancer patients from 1996 to 2010 in Taiwan was used in this study. The BN topology for studying brain metastasis from lung cancer was rigorously examined by domain experts/doctors. We used three statistical measures, namely, the accuracy, sensitivity, and specificity, to evaluate the performances of the proposed BN model and to compare it with three competitive approaches, namely, naive Bayes (NB), logistic regression (LR) and support vector machine (SVM). Experimental results show that no significant differences are observed in accuracy or specificity among the four models, while the proposed BN outperforms the others in terms of sampled average sensitivity. Moreover the proposed BN has advantages compared with the other approaches in interpreting how brain metastasis develops from lung cancer. It is shown to be easily understood by physicians, to be efficient in modeling non-linear situations, capable of solving stochastic medical problems, and handling situations wherein information are missing in the context of the occurrence of brain metastasis from lung cancer.

Clinical features and prognostic factors in elderly koreans with advanced non-small-cell lung cancer in a tertiary referral hospital

Background

More than half of cases for advanced non-small-cell lung cancer (NSCLC) occur in elderly patients with a median age at diagnosis of 70 years. The aim of our study was to examine the clinical features and prognostic factors contributing to mortality in elderly patients with advanced NSCLC.

Methods

Following a retrospective review of clinical data, 122 patients aged 70 years and over with a histopathological diagnosis of locally advanced (stage IIIB, n=32) and metastatic (stage IV, n=90) NSCLC between 2005 and 2011 were enrolled.

Results

The median age was 76 years (interquartile range, [IQR], 72-80 years), and 85 (70%) patients were male. Fifty-seven (46%) patients had never smoked, and 17 (19%) were in a malnourished state with a body mass index (BMI) of <18.5 kg/m². The initial treatments included chemotherapy (40%) and radiotherapy (7%), but 57% of the patients received supportive care only. The 1-year survival rate was 32%, and the 3-year survival rate was 4%, with a median survival duration of 6.2 months (IQR, 2.5-15.3 months). Male gender (hazard ratio [HR], 2.2; 95% confidence interval [CI], 1.3-3.9; p=0.005), low BMI (HR, 2.3; 95% CI, 1.3-3.9; p=0.004), and supportive care only (HR, 1.9; 95% CI, 1.2-2.9; p=0.007) were independent predictors of shorter survival based on a Cox proportional hazards model.

Conclusion

Elderly patients with advanced NSCLC had a poor prognosis, particularly male patients, those with a low BMI, and those who received supportive care only.

Disparities in the treatment and outcomes of lung cancer among HIV-infected individuals

OBJECTIVES

HIV-infected people have elevated risk for lung cancer and higher mortality following cancer diagnosis than HIV-uninfected individuals. It is unclear whether HIV-infected individuals with lung cancer receive similar cancer treatment as HIV-uninfected individuals.

DESIGN/METHODS

We studied adults more than 18 years of age with lung cancer reported to the Texas Cancer Registry (N = 156 930) from 1995 to 2009. HIV status was determined by linkage with the Texas enhanced HIV/AIDS Reporting System. For nonsmall cell lung cancer (NSCLC) cases, we identified predictors of cancer treatment using logistic regression. We used Cox regression to evaluate effects of HIV and cancer treatment on mortality.

RESULTS

Compared with HIV-uninfected lung cancer patients (N = 156 593), HIV-infected lung cancer patients (N = 337) were more frequently young, non-Hispanic black, men, and with distant stage disease. HIV-infected NSCLC patients less frequently received cancer treatment than HIV-uninfected patients [60.3 vs. 77.5%; odds ratio 0.39, 95% confidence interval (CI) 0.30-0.52, after adjustment for diagnosis year, age, sex, race, stage, and histologic subtype]. HIV infection was associated with higher lung cancer-specific mortality (hazard ratio 1.34, 95% CI 1.15-1.56, adjusted for demographics and tumor characteristics). Inclusion of cancer treatment in adjusted models slightly attenuated the effect of HIV on lung cancer-specific mortality (hazard ratio 1.25; 95% CI 1.06-1.47). Also, there was a suggestion that HIV was more strongly associated with mortality among untreated than among treated patients (adjusted hazard ratio 1.32 vs. 1.16, P-interaction = 0.34).

CONCLUSION

HIV-infected NSCLC patients were less frequently treated for lung cancer than HIV-uninfected patients, which may have affected survival.

Is it safe to include octogenarians at the start of a video-assisted thoracic surgery lobectomy programme?

OBJECTIVE

The study aimed to investigate the safety of including patients ≥ 80 years of age at the start of a video-assisted thoracic surgery major pulmonary resection (VMPR) programme.

METHODS

Patients were considered for VMPR if the computed tomography/positron emission tomography (CT/PET) was suggestive of T1-3, N0-1 and M0 lesion. Age was not a criterion for exclusion at the very start of the programme. Data were collected prospectively and comparison made between two groups, (A) <80 years of age and (B) ≥ 80 years, in terms of preoperative risk factors, oncological and functional data, operative results, postoperative complications and survival.

RESULTS

Between April 2005 and January 2011, 200 consecutive patients were considered for VMPR. A total of 160 had non-small-cell lung cancer, of whom 136 were in group A, with a median age of 66.5 (range: 42.8-79.4 years) and 24 in group B with a median age of 82 (range: 80-85.5 years). In group B, 13 were men and 11 were women. Rate of conversion to thoracotomy was similar (3 (12.5%) in group B vs 17 (12.5%) in group A, p = 0.65), and so was the mean hospital stay (5.8 ± 3.3 days in group B vs 5.9 ± 4.6 days in group A, p = 0.899). Admission to intensive care unit and atrial fibrillation were significantly higher in octogenarians (six (25%) and six (25%) in group B vs eight (5.9%) and nine (6.6%) in group A, p = 0.008 and p = 0.012, respectively). There was significantly less mean days of air leak in octogenarians (0.06 ± 0.3 days in group B vs 2.8 ± 5.6 days in group A, p = 0.000). Otherwise, there were no age-related differences in relation to morbidity, mortality and the 3-year survival rate.

CONCLUSION

Octogenarians undergoing VMPR have a higher incidence of atrial fibrillation and admission to the intensive care unit for cardiopulmonary support but otherwise are no different from younger age groups when it comes to rate of conversion to thoracotomy, hospital stay, morbidity and mortality. Age should not be an excuse to deny the elderly curative VATS resection. In our experience, accepting octogenarians early in the VMPR programme did not compromise the outcome results.

Evaluation and treatment of high-risk patients with early-stage lung cancer

Standard therapy for early-stage non-small cell lung cancer is lobectomy for patients who are able to tolerate such surgery. However, the risk of postoperative morbidity is not trivial, with a 30% to 40% incidence of postoperative complications and a 1% to 5% incidence of operative mortality. Some patients, though technically resectable, refuse surgery or are considered medically inoperable because of insufficient respiratory reserve, cardiovascular disease, or general frailty. This group is considered either "high risk" or "medically inoperable."

How do patient and hospital features influence outcomes in small-cell lung cancer in England?

BACKGROUND

Our aim was to systematically determine how features of patients and hospitals influence access to chemotherapy and survival for people with small-cell lung cancer in England.

METHODS

We linked the National Lung Cancer Audit and Hospital Episode Statistics and used multiple logistic and Cox regression analyses to assess the influence of patient and hospital features on small-cell lung cancer outcomes.

RESULTS

There were 7845 patients with histologically proven small-cell lung cancer. Sixty-one percent (4820) of the patients received chemotherapy. Increasing age, worsening performance status, extensive stage and greater comorbidity all reduced the likelihood of receiving chemotherapy. There was wide variation in access to chemotherapy between hospitals in general and patients first seen in centres with a strong interest in clinical trials had a higher odds of receiving chemotherapy (adjusted odds ratio 1.42, 95% confidence interval (CI) 1.06, 1.90). Chemotherapy was associated with a lower mortality rate (adjusted hazard ratio 0.51, 95% CI 0.46, 0.56).

CONCLUSION

Patients first seen at a hospital with a keen interest in clinical trials are more likely to receive chemotherapy, and chemotherapy was associated with improved survival.