Excess mortality and undertreatment in elderly lung cancer patients: treatment nihilism in the modern era?

Lung cancer among the Elderly in Denmark - A comprehensive population-based cohort study

OBJECTIVE

Lung cancer primarily occurs in the elderly with a median age at diagnosis in Denmark of 73 years. However, elderly patients are under-represented in clinical trials as well as in screening studies. In this study, we aim to characterize elderly patients with lung cancer and explore the diagnostic intensity, treatment patterns, and survival.

METHOD

Patients diagnosed with lung cancer between 2014 and 2017 according to the Danish Cancer Registry, and with clinical information in the Danish Lung Cancer Registry were included. Patient information was linked by the unique social identification number to information from Statistics Denmark.

RESULTS

We included n = 17,835 patients in this study, of whom 2,871 (16.1 %) were 80 years or older. Fewer elderly patients had lung biopsies (47 % vs 53 %) or mediastinal procedures (34 % vs 26 %), compared to the younger patients (p < 0.001). Fewer elderly patients had treatment registration (60 % vs 85 %), and fewer received treatment with curative intent (23 % vs 42 %) compared to patients younger than 80 years (p < 0.001). The elderly patients had 2.1 (CI 95 % 1.9 - 2.2) times higher odds of dying within 12 months after diagnosis than younger patients.

CONCLUSION

The diagnostic intensity among lung cancer patients aged eighty years or above is lower compared to younger patients. Being elderly is associated with not undergoing surgical treatment or treatment with curative intent. Across all treatment groups, being older than eighty years of age was associated with an adverse prognosis.

Multiomics-Based Feature Extraction and Selection for the Prediction of Lung Cancer Survival

Lung cancer is a global health challenge, hindered by delayed diagnosis and the disease's complex molecular landscape. Accurate patient survival prediction is critical, motivating the exploration of various -omics datasets using machine learning methods. Leveraging multi-omics data, this study seeks to enhance the accuracy of survival prediction by proposing new feature extraction techniques combined with unbiased feature selection. Two lung adenocarcinoma multi-omics datasets, originating from the TCGA and CPTAC-3 projects, were employed for this purpose, emphasizing gene expression, methylation, and mutations as the most relevant data sources that provide features for the survival prediction models. Additionally, gene set aggregation was shown to be the most effective feature extraction method for mutation and copy number variation data. Using the TCGA dataset, we identified 32 molecular features that allowed the construction of a 2-year survival prediction model with an AUC of 0.839. The selected features were additionally tested on an independent CPTAC-3 dataset, achieving an AUC of 0.815 in nested cross-validation, which confirmed the robustness of the identified features.

Clinical perspectives on serum tumor marker use in predicting prognosis and treatment response in advanced non-small cell lung cancer

The optimal positioning and usage of serum tumor markers (STMs) in advanced non-small cell lung cancer (NSCLC) care is still unclear. This review aimed to provide an overview of the potential use and value of STMs in routine advanced NSCLC care for the prediction of prognosis and treatment response. Radiological imaging and clinical symptoms have shown not to capture a patient's entire disease status in daily clinical practice. Since STM measurements allow for a rapid, minimally invasive, and safe evaluation of the patient's tumor status in real time, STMs can be used as companion decision-making support tools before start and during treatment. To overcome the limited sensitivity and specificity associated with the use of STMs, tests should only be applied in specific subgroups of patients and different test characteristics should be defined per clinical context in order to answer different clinical questions. The same approach can similarly be relevant when developing clinical applications for other (circulating) biomarkers. Future research should focus on the approaches described in this review to achieve STM test implementation in advanced NSCLC care.

Impact of lung cancer screening with low-dose chest computed tomography on an older population: a retrospective cohort study

Background

The older population is at high risk of lung cancer (LC). However, the importance of lung cancer screening (LCS) in this population is rarely investigated. Herein, we evaluated the effect of LCS with low-dose computed tomography (LDCT) in the older population.

Methods

This retrospective cohort study was conducted in a single center and included patients aged 70-80 years who had undergone LCS with LDCT. They were categorized into the early 70s (70-74 years) and late 70s (75-80 years) groups based on their age. Using propensity score matching, the control group included patients with non-screening-detected LC from an LC cohort. LC detection, characteristics, and treatment were compared between the early and late 70s groups and between screening-detected LC and non-screening-detected LC.

Results

The study included 1,281 participants who underwent LDCT for LCS, of whom 1,020 were in their early 70s and 261 in their late 70s. Among the screening groups, 87.7% of the patients were ever-smokers. The overall LC detection rate was 2.8%. Interestingly, the LC detection rate in the late 70s group was similar to that in the early 70s group (3.4% vs. 2.7%, P=0.485). Furthermore, the incidence of LC was 6.1 cases and 8.3 cases per 1,000 person-years in the early 70s and late 70s groups, respectively (P=0.428). When comparing LC characteristics, patients with screening-detected LC showed a higher proportion of stage I LC (52.8% vs. 30.6%, P=0.010) and a lower proportion of stage IV LC (19.4% vs. 42.2%, P=0.010) than those with non-screening-detected LC. Moreover, 80.6% of patients with screening-detected LC received appropriate tumor reduction treatment based on the cancer stage.

Conclusions

In the older population, LCS using LDCT showed remarkable detection of LC, with a higher proportion of cases detected at an early stage.

A scoping review of ageism towards older adults in cancer care

INTRODUCTION

Ageism towards older adults with cancer may impact treatment decisions, healthcare interactions, and shape health/psychosocial outcomes. The purpose of this review is twofold: (1) To synthesize the literature on ageism towards older adults with cancer in oncology and (2) To identify interventions that address ageism in the healthcare context applicable to oncology.

MATERIALS AND METHODS

We conducted a scoping review following Arksey and O'Malley and Levac methods and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We conducted an exhaustive multi-database search, screening 30,926 titles/abstracts. Following data abstraction, we conducted tabular, narrative, and textual synthesis.

RESULTS

We extracted data on 133 papers. Most (n = 44) were expert opinions, reviews, and letters to editors highlighting the negative impacts of ageism, expressing the need for approaches addressing heterogeneity of older adults, and calling for increased clinical trial inclusion for older adults. Qualitative studies (n = 3) described healthcare professionals' perceived influence of age on treatment recommendations, whereas quantitative studies (n = 32) were inconclusive as to whether age-related bias impacted treatment recommendations/outcomes or survival. Intervention studies (n = 54) targeted ageism in pre/post-licensure healthcare professionals and reported participants' improvement in knowledge and/or attitudes towards older adults. No interventions were found that had been implemented in oncology.

DISCUSSION

Concerns relating to ageism in cancer care are consistently described in the literature. Interventions exist to address ageism; however, none have been developed or tested in oncology settings. Addressing ageism in oncology will require integration of geriatric knowledge/interventions to address conscious and unconscious ageist attitudes impacting care and outcomes. Interventions hold promise if tailored for cancer care settings. 249/250.

Prospective Comparative Effectiveness Trial of Multidisciplinary Lung Cancer Care Within a Community-Based Health Care System

PURPOSE

Multidisciplinary lung cancer care is assumed to improve care delivery by increasing transparency, objectivity, and shared decision making; however, there is a lack of high-level evidence demonstrating its benefits, especially in community-based health care systems. We used implementation and team science principles to establish a colocated multidisciplinary lung cancer clinic in a large community-based health care system and evaluated patient experience and outcomes within and outside this clinic.

METHODS

We conducted a prospective frequency-matched comparative effectiveness study (ClinicalTrials.gov identifier: NCT02123797) evaluating the thoroughness of lung cancer staging, receipt of stage-appropriate treatment, and survival between patients receiving care in the multidisciplinary clinic and those receiving usual serial care. Target enrollment was 150 patients on the multidisciplinary arm and 300 on the serial care arm. We frequency-matched patients by clinical stage, performance status, insurance type, race, and age.

RESULTS

A total of 526 patients were enrolled: 178 on the multidisciplinary arm and 348 on the serial care arm. After adjusting for other factors, multidisciplinary patients had significantly higher odds (odds ratio [OR]: 2.3 [95% CI, 1.5 to 3.4]) of trimodality staging compared with serial care. Patients on the multidisciplinary arm also had higher odds of receiving invasive stage confirmation (OR: 2.0 [95% CI, 1.4 to 3.1]) and mediastinal stage confirmation (OR: 1.9 [95% CI, 1.3 to 2.8]). Additionally, patients receiving multidisciplinary care were significantly more likely to receive stage-appropriate treatment (OR: 1.8 [95% CI, 1.1 to 3.0]). We found no significant difference in overall or progression-free survival between study arms.

CONCLUSION

The multidisciplinary clinic delivered significant improvements in evidence-based quality care on multiple levels. Even in the absence of a demonstrable survival benefit, these findings provide a strong rationale for recommending this model of care.

Persisting Gaps in Optimal Care of Stage III Non-small Cell Lung Cancer: An Australian Patterns of Care Analysis

BACKGROUND

Wide variation exists globally in the treatment and outcomes of stage III patients with non-small cell lung cancer (NSCLC). We conducted an up-to-date patterns of care analysis in the state of Victoria, Australia, with a particular focus on the proportion of patients receiving treatment with radical intent, treatment trends over time, and survival.

MATERIALS AND METHODS

Stage III patients with NSCLC were identified in the Victorian Lung Cancer Registry and categorized by treatment received and treatment intent. Logistic regression was used to explore factors predictive of receipt of radical treatment and the treatment trends over time. Cox regression was used to explore variables associated with overall survival (OS). Covariates evaluated included age, sex, ECOG performance status, smoking status, year of diagnosis, Australian born, Aboriginal or Torres Strait Islander status, socioeconomic status, rurality, public/private status of notifying institution, and multidisciplinary meeting discussion.

RESULTS

A total of 1396 patients were diagnosed between 2012 and 2019 and received treatment with radical intent 67%, palliative intent 23%, unknown intent 5% and no treatment 5%. Radical intent treatment was less likely if patients were >75 years, ECOG ≥1, had T3-4 or N3 disease or resided rurally. Surgery use decreased over time, while concurrent chemoradiotherapy and immunotherapy use increased. Median OS was 38.0, 11.1, and 4.4 months following radical treatment, palliative treatment or no treatment, respectively.

CONCLUSION

Almost a third of stage III patients with NSCLC still do not receive radical treatment. Strategies to facilitate radical treatment and better support decision making between increasing multimodality options are required.

Development of an Australia and New Zealand Lung Cancer Clinical Quality Registry: a protocol paper

INTRODUCTION

Lung cancer is the leading cause of cancer mortality, comprising the largest national cancer disease burden in Australia and New Zealand. Regional reports identify substantial evidence-practice gaps, unwarranted variation from best practice, and variation in processes and outcomes of care between treating centres. The Australia and New Zealand Lung Cancer Registry (ANZLCR) will be developed as a Clinical Quality Registry to monitor the safety, quality and effectiveness of lung cancer care in Australia and New Zealand.

METHODS AND ANALYSIS

Patient participants will include all adults >18 years of age with a new diagnosis of non-small-cell lung cancer (NSCLC), SCLC, thymoma or mesothelioma. The ANZLCR will register confirmed diagnoses using opt-out consent. Data will address key patient, disease, management processes and outcomes reported as clinical quality indicators. Electronic data collection facilitated by local data collectors and local, state and federal data linkage will enhance completeness and accuracy. Data will be stored and maintained in a secure web-based data platform overseen by registry management. Central governance with binational representation from consumers, patients and carers, governance, administration, health department, health policy bodies, university research and healthcare workers will provide project oversight.

ETHICS AND DISSEMINATION

The ANZLCR has received national ethics approval under the National Mutual Acceptance scheme. Data will be routinely reported to participating sites describing performance against measures of agreed best practice and nationally to stakeholders including federal, state and territory departments of health. Local, regional and (bi)national benchmarks, augmented with online dashboard indicator reporting will enable local targeting of quality improvement efforts.

No limit to maximal lifespan in humans: how to beat a 122-year-old record

Although average human life expectancy is rising, the maximum lifespan is not increasing. Leading demographers claim that human lifespan is fixed at a natural limit around 122 years. However, there is no fixed limit in animals. In animals, anti-aging interventions (dietary restrictions, rapamycin, genetic manipulations) postpone age-related diseases and thus automatically extend maximum lifespan. In humans, anti-aging interventions have not been yet implemented. Instead, by treating individual diseases, medical interventions allow a patient to live longer (despite morbidity), expanding morbidity span. In contrast, slowly aging individuals (centenarians) enter very old age in good health, but, when diseases finally develop, they do not receive thorough medical care and die fast. Although the oldest old die from age-related diseases, death certificates often list "old age", meaning that diseases were not even diagnosed and even less treated. The concept of absolute compression of morbidity is misleading in humans (in truth, there is no other way to compress morbidity as by denying thorough medical care) and false in animals (in truth, anti-aging interventions do not condense morbidity, they postpone it). Anti-aging interventions such as rapamycin may potentially extend both healthspan and maximal lifespan in humans. Combining anti-aging medicine with cutting-edge medical care, regardless of chronological age, will extend maximal lifespan further.

Informational support for depression and quality of life improvements in older patients with cancer: a systematic review and meta-analysis

PURPOSE

To assess and summarize the effects of informational support on depression and quality of life of older patients with cancer.

METHODS

PubMed, MEDLINE, and Web of Science were searched to identify articles written in English and published until March 2021. Studies within 10 years period (2010-2021) were included. Randomized controlled trials were included if they evaluated the impact of informational support on depression and quality of life. All analyses were performed with Review Manager 5.3.

RESULTS

Twelve studies with a total of 2374 participants met the inclusion criteria. Our primary outcomes included depression and quality of life. (1) Depression: results indicated no statistically significant difference and low heterogeneity [SMD = 0.28, 95% CI (- 0.24,0.80), p = 0.45; I² = 0%], (2) Quality of life: in the subgroup analyses of EORTC QLQ-C30, results indicated a significant effect of informational support on quality of life [SMD = 2.84, 95% CI (0.63, 5.05), p = 0.03; I² = 79%]; in the subgroup analyses of FACT and SF-36, there were no significance.

CONCLUSIONS

Informational support could reduce depression and did improve the quality of life in older cancer patients with statistical significance. The findings suggested that informational support was an effective approach to improve depression and quality of life in older patients with cancer.