Sex-specific associations between sleep apnoea and lung cancer risk in patients with COPD: a nationwide prospective cohort study

The Lancet Regional Health - Europe, Journal Year: 2025, Volume and Issue: 52, P. 101269 - 101269

Published: March 21, 2025

Language: Английский

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Identification of Overlapping Genetic Signatures Between Obstructive Sleep Apnea and Lung Cancer: Moving Beyond “One Drug, One Disease” Paradigm of Pharmaceutical Innovation

OMICS A Journal of Integrative Biology, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Traditional paradigms of pharmaceutical innovation have long relied on the "one drug, one disease" premise. However, a network mindset in unpacking disease mechanisms can be fruitful to move toward polydisease" paradigm drug discovery and development. A case point is obstructive sleep apnea (OSA) lung cancer, which are two prevalent respiratory disorders that share common risk factors may potentially exhibit overlapping molecular mechanisms. The putative mechanistic linkages between OSA cancer remain underexplored; however, this study offers new evidence genetic signatures with an in-silico approach. Bioinformatics analysis publicly available datasets (GSE135917 GSE268175) identified 123 upregulated 13 downregulated genes 3175 2272 cancer. total four (C1GALT1, TMEM106B, ZNF117, ZNF486) were significantly both disorders, highlighting shared Pathway cell enrichment indicated mucin type O-glycan biosynthesis pathway endothelial cells strongly associated these genes, lending support for their potential roles diseases. Moreover, hsa-miR-34a-5p, hsa-let-7g-5p, hsa-miR-19a-3p found genes. Validation using GEPIA2 tool confirmed consistent expression patterns Machine learning highlighted TMEM106B as most significant biomarker candidate distinguishing from controls. In summary, supports overarching concept human diseases pathways specific example While findings call further research validation, they invite rethinking current beyond concept.

Language: Английский

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Obstructive Sleep Apnea is an Independent Risk Factor for Pulmonary Nodules

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Background Although previous studies have suggested a potential connection between OSA and lung cancer, the relationship pulmonary nodules remains inadequately explored.Objective: This study aimed to clarify nodules. Methods We conducted cross-sectional on 303 patients suspected of OSA, using polysomnography (PSG) assess severity low-dose chest computed tomography (LDCT) for nodule screening. Logistic regression assessed association Results A higher proportion had concurrent compared non-OSA (P = 0.008). In univariate logistic regression, was significantly associated with (OR 2.506, 95% CI: 1.278–4.914, P 0.008), in multivariate analysis, remained independently (adjusted OR 2.240, 1.064–4.718, 0.034). also prevalence ground-glass 0.006). Univariate showed 5.627, 1.320–23.985, 0.020), 5.326, 1.171–24.227, 0.030). The analysis that moderate-to-severe 2.4-fold increased risk mild 2-fold patients(P < 0.05). Conclusion is an independent factor nodules, its risk, highlighting need early screening patients.

Language: Английский

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Mapping the comorbidome: A novel analysis of the associations between obstructive sleep apnea and its comorbidities in Colombia

Science Progress, Journal Year: 2025, Volume and Issue: 108(2)

Published: April 1, 2025

Introduction Obstructive sleep apnea (OSA) is linked to a complex network of comorbidities, including cardiovascular, metabolic, neurological, and oncological diseases. The comorbidome visually maps disease associations, highlighting the interconnected comorbidities OSA, whose incidence severity are strongly correlated. Methods A retrospective cohort study was conducted between 2005 2020 identify most frequently associated with OSA through comprehensive comorbidity map. prevalence each calculated as percentage, detailed analysis performed examine relationship these OSA. This graphic represents all significant associations where size bubble proportional within cohort, proximity center reflects strength association. Results total 3043 patients diagnosed were included, whom 51.1% (1154/3043) had severe 29.2% (889/3043) moderate 19.7% (600/3043) mild average age 57.6 years (SD ± 15.32), 65.6% (1995/3043) men. Among hypertension present in 48.0% (288/600), 53.0% (470/889), 58.5% (909/1554). Renal failure (OR: 9.39; 95% CI: 3.7–23.84), cardiovascular 7.73; 3.92–15.21), dementia 6.98; 2.85–17.11), hemiplegia/stroke sequelae 6.90; 2.02–23.51), smoking 5.54; 2.74–11.21), diabetes 4.34; 2.02–9.35) Hemiplegia/stroke 10.11; 3.8–26.89), 9.77; 6.18–15.46), chronic pulmonary 7.48; 4.76–11.77), 6.80;95% 3.37–13.71) Dementia 10.59; 6.41–17.5), leukemia lymphoma 7.49; 2–28.1), 7.24; 5.33–9.83), hemiplegia or stroke 6.33; 3.3–12.16), renal 6.10; 3.97–9.36) Conclusion prevalent hypertension, smoking, disease, higher Additionally, association observed certain mortality, particularly conditions such dementia. Malignant neoplastic diseases related

Language: Английский

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Intersection between lung cancer and neuroscience: opportunities and challenges

Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217701 - 217701

Published: April 1, 2025

Language: Английский

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Clinical Validation of Artificial Intelligence Algorithms for the Diagnosis of Adult Obstructive Sleep Apnea and Sleep Staging From Oximetry and Photoplethysmography—SleepAI

Journal of Sleep Research, Journal Year: 2025, Volume and Issue: unknown

Published: May 10, 2025

ABSTRACT Home sleep apnea tests (HSATs) have emerged as alternatives to in‐laboratory polysomnography (PSG), but Type IV HSATs often show limited diagnostic performance. This study clinically validates SleepAI, a novel remote digital health system that applies AI algorithms raw oximetry data for automated staging and obstructive (OSA) diagnosis. SleepAI were trained on over 10,000 PSG recordings. The consists of wearable oximeter connected via Bluetooth mobile app transmitting cloud‐based platform AI‐driven analysis. Clinical validation was conducted in 53 subjects with suspected OSA, who used three nights at home one night centre alongside PSG. SleepAI's apnea‐hypopnea index (AHI) estimates three‐class (Wake, REM, NREM) compared references. For OSA severity classification (non‐OSA, mild, moderate, severe), achieved an overall accuracy 89%, F1‐scores 1.0, 0.9, 0.88, respectively. three‐stage Cohen's kappa 0.75. Night‐to‐night AHI variability showed 37.5% participants experienced one‐level change across home. No significant differences metrics found between the first subsequent home, indicating no disturbance by SleepAI. These findings support promising scalable alternative existing HSATs, potential address key clinical gaps improving accessibility.

Language: Английский

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Self-Reported Witnessed Episodes of Apnea during Sleep is associated with Incident Lung and Breast Cancer

Sleep Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 106567 - 106567

Published: May 1, 2025

Language: Английский

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Wearable sleep apnea detection device based on PVDF novel sensor

Published: Aug. 23, 2024

Language: Английский

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Clinical significance of the combined systemic immune-inflammatory index and prognostic nutritional index in predicting the prognosis of patients with extensive-stage small-cell lung cancer receiving immune-combination chemotherapy

BMC Cancer, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 24, 2024

The therapeutic efficacy and prognosis of various tumors can be assessed using the systemic immune-inflammatory index (SII) prognostic nutritional (PNI). Despite their potential, no studies have investigated value combined SII-PNI score for outcomes in patients with extensive small cell lung cancer (ES-SCLC) treated chemotherapy immune checkpoint inhibitors (ICIs). Our study retrospectively examined 213 ES-SCLC ICIs across two institutions. were divided into three groups based on scores. Cox regression analysis was employed to identify independent factors. A nomogram constructed these With 1000 repeated samples, bootstrap method used validate model internally. model's performance calibration curves, receiver operating characteristic (ROC) decision curve (DCA). Before after (ICIs), SII significantly higher PD group compared PR (both p < 0.05). In meantime, PNI considerably lower than 0.01). Kaplan-Meier curves demonstrated that a low had prolonged progression-free survival (PFS) overall (OS) those high (all Multivariate showed PS = 1, bone metastasis, brain 1,2 four treatment cycles risk factors shorter OS included model. ROC C-index, DCA confirm scores-based nomograms strong predictive accuracy OS. There significant correlation between pre- post-treatment effect ES-SCLC. is useful indicator receiving

Language: Английский

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