Impact of Age on Inflammation-Based Scores among Patients Diagnosed with Stage III Non-Small Cell Lung Cancer.

BACKGROUND: Inflammatory and nutritional indexes are prognostic factors in non-small cell lung cancer (NSCLC). Furthermore, a low grade of chronic inflammation has been described in the older population (inflammaging). We aimed to evaluate the neutrophil-to-lymphocyte ratio (NLR), the Prognostic Nutritional Index (PNI), the advanced lung cancer inflammation index (ALI), the platelet-to-lymphocyte ratio (PLR), and the Glasgow Prognostic Score (GPS) in young and older patients diagnosed with locally advanced NSCLC to determine if significant differences between these groups exist. METHODS: We conducted a retrospective study analyzing the impact of age on the NLR, PNI, ALI, PLR, and GPS among patients diagnosed with stage III NSCLC at Hospital Universitario Doctor Peset between 2010 and 2015. RESULTS: We included 124 patients (84 young, 40 older patients). The median hemoglobin level and leukocyte count were lower in the older patients (p = 0.0158 and p = 0.001, respectively). A higher median C-reactive protein level was also found in this group (p = 0.0095). Regarding specific inflammatory indexes, the PNI, comprising inflammatory and nutritional parameters, was lower among the older patients (p = 0.0463). The median NLR, ALI, and PLR were similar in both age groups. Moreover, no differences between the age groups were found in the percentage of patients showing high versus low NLR (cutoff point, 5) or ALI (cutoff point, 18) or in the different GPS groups. CONCLUSIONS: The baseline PNI, hemoglobin level, and lymphocyte count were lower among the older patients; furthermore, CRP was higher, possibly, because of a more prominent inflammatory status in older patients with lung cancer. No other immunological or nutritional analytical variables were different between the age groups.

Cognitive impairment is related to a reduced count of T-lymphocytes in older patients diagnosed with non-small cell lung cancer (NSCLC).

BACKGROUND: Aging is a risk factor for cancer and cognitive impairment, and both have been related to changes in the immune system (immunosenescence) and chronic inflammation (inflammaging) of elderly individuals. Therefore, it would be interesting to know if there is a connection between immunological variations and cognitive function in oncologic patients, especially in lung cancer, in which, inflammation plays a crucial role in tumor development and progression. Our objective is to assess, in older patients diagnosed with non-small cell lung cancer (NSCLC), differences in parameters of the immune system depending on their cognitive status. METHODS: We retrospectively analyzed patients ≥70 years diagnosed with NSCLC with evaluated cognitive function, from January 2017 to April 2019. Lymphocyte count was gathered at baseline and checked for differences in lymphocyte counts between patients with a Pfeiffer result of 0-2 vs. 3-10 mistakes. Multiple regression models were used to assess the impact of clinical parameters on lymphocyte count. RESULTS: Seventy patients were analyzed. Sixty had a normal cognitive function, while ten had an impaired cognitive status; these were significantly older. Multivariate analysis showed that patients with cognitive impairment had lower levels of total, T and CD8+ T-lymphocytes (P=0.011, 0.011 and 0.019, respectively). Older age was only correlated to higher level of CD8+ T-lymphocytes (P=0.0390). Odds ratio for the risk of cognitive impairment depending on the level of T-lymphocytes was 0.996 (95% CI: 0.995-0.998), P=0.037. CONCLUSIONS: T-lymphocyte count is lower in patients diagnosed with lung cancer and cognitive impairment. These findings suggest that clinical features are closely related to immunological status in older patients with NSCLC. Therefore, age cannot always explain immunosenescence, and geriatric assessment could help.

Biomarkers in bronchopulmonary cancer.

Non-small-cell lung cancer (NSCLC) ranks among the neoplasms with the worst prognoses and the highest mortality rates. Several factors, mainly clinical, are known that provide a predictive value on the course of the disease. In the era in which we live, the molecular basis of cancer is studied in depth and several molecular markers have been described that could play a prognostic role or that could predict the probability of responding to the different treatments used. Moreover, some mechanisms have been proposed that could explain primary or acquired resistance to treatment with chemotherapy and to targeted therapies. Knowing all these pathways is very important, as it allows the development of selective therapeutic strategies that minimise toxicity and optimise treatment effectiveness. However, the data obtained yield results that are at times contradictory, prospective studies with biomarkers thus being necessary so that their role can be established with the necessary evidence.