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1.
Clin Cancer Res ; 30(14): 3036-3049, 2024 Jul 15.
Article in English | MEDLINE | ID: mdl-38630755

ABSTRACT

PURPOSE: Transcriptomic subtyping holds promise for personalized therapy in extensive-stage small cell lung cancer (ES-SCLC). In this study, we aimed to assess intratumoral transcriptomic subtype diversity and to identify biomarkers of long-term chemoimmunotherapy benefit in human ES-SCLC. EXPERIMENTAL DESIGN: We analyzed tumor samples from 58 patients with ES-SCLC enrolled in two multicenter single-arm phase IIIb studies evaluating frontline chemoimmunotherapy in Spain: n = 32 from the IMfirst trial and n = 26 from the CANTABRICO trial. We used the GeoMx Digital Spatial Profiler system to perform multi-region transcriptomic analysis. For subtype classification, we performed hierarchical clustering using the relative expression of ASCL1 (SCLC-A), NEUROD1 (SCLC-N), POU2F3 (SCLC-P), and YAP1 (SCLC-Y). RESULTS: Subtype distribution was found to be similar between bothcohorts, except for SCLC-P, which was not identified in the CANTABRICO_DSP cohort. A total of 44% of the patients in both cohorts had tumors with multiple coexisting transcriptional subtypes. Transcriptional subtypes or subtype heterogeneity was not associated with outcomes. Most potential targets did not show subtype-specific expression. Consistently in both cohorts, tumors from patients with long-term benefit (time to progression ≥12 months) contained an IFNγ-dominated mRNA profile, including enhanced capacity for antigen presentation. Hypoxia and glycolytic pathways were associated with resistance to chemoimmunotherapy. CONCLUSIONS: This work suggests that intratumoral heterogeneity, inconsistent association with outcome, and unclear subtype-specific target expression might be significant challenges for subtype-based precision oncology in SCLC. Preexisting IFNγ-driven immunity and mitochondrial metabolism seem to be correlates of long-term efficacy in this study, although the absence of a chemotherapy control arm precludes concluding that these are predictive features specific for immunotherapy.


Subject(s)
Biomarkers, Tumor , Gene Expression Profiling , Immunotherapy , Lung Neoplasms , Small Cell Lung Carcinoma , Transcriptome , Humans , Small Cell Lung Carcinoma/genetics , Small Cell Lung Carcinoma/drug therapy , Small Cell Lung Carcinoma/pathology , Small Cell Lung Carcinoma/therapy , Biomarkers, Tumor/genetics , Male , Female , Lung Neoplasms/genetics , Lung Neoplasms/drug therapy , Lung Neoplasms/pathology , Lung Neoplasms/therapy , Aged , Immunotherapy/methods , Middle Aged , Neoplasm Staging , Treatment Outcome , Gene Expression Regulation, Neoplastic , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Basic Helix-Loop-Helix Transcription Factors/genetics , Prognosis
2.
J Affect Disord ; 338: 32-40, 2023 10 01.
Article in English | MEDLINE | ID: mdl-37245551

ABSTRACT

BACKGROUND: College students are vulnerable to suffering from anxiety and depression. Moreover, mental disorders can contribute to drug consumption or inappropriate use of prescribed drugs. Studies on this topic in Spanish college students are limited. This work analyses anxiety and depression and psychoactive drug intake pattern in the post-COVID era in college students. METHODS: An online survey was conducted among college students from UCM (Spain). The survey collected data including demographic, academic student perception, GAD-7 and PHQ-9 scales, and psychoactive substances consumption. RESULTS: A total of 6798 students were included; 44.1 % (CI95%: 42.9 to 45.3) showed symptoms of severe anxiety and 46.5 % (CI95%: 45.4 to 47.8) symptoms of severe or moderately severe depression. The perception of these symptoms did not change after returning to face-to-face university classes in the post-COVID19 era. Despite the high percentage of cases with clear symptoms of anxiety and depression, most students never had a diagnosis of mental illnesses [anxiety 69.2 % (CI95%: 68.1 to 70.3) and depression 78.1 % (CI95%: 77.1 to 79.1)]. Regarding psychoactive substances, valerian, melatonin, diazepam, and lorazepam were the most consumed. The most worrying issue was the consumption of diazepam, 10.8 % (CI95%: 9.8 to 11.8), and lorazepam, 7.7 % (CI95%: 6.9 to 8.6) without medical prescription. Among illicit drugs, cannabis is the most consumed. LIMITATIONS: The study was based on an online survey. CONCLUSIONS: The high prevalence of anxiety and depression aligned with poor medical diagnosis and high intake of psychoactive drugs should not be underestimated. University policies should be implemented to improve the well-being of students.


Subject(s)
COVID-19 , Substance-Related Disorders , Humans , Mental Health , COVID-19/epidemiology , Lorazepam , Depression/epidemiology , Depression/diagnosis , Anxiety/epidemiology , Anxiety/diagnosis , Substance-Related Disorders/epidemiology , Students/psychology , Universities
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