A 53-year-old man was admitted to our hospital for the evaluation of a mass (13 x 10 cm) in the left lobe of the liver seen by imaging studies. On subsequent biopsy of the mass, the lesion was histologically diagnosed as malignant small round-cell tumor, consistent with metastatic small-cell carcinoma. Segment IV segmentectomy was performed. On pathological examination, the mass showed a yellowish-gray granular appearance with multifocal hemorrhage and necrosis. The phenotypes shown by immunohistochemistry revealed characteristic patterns of small-cell carcinoma (neuron-specific enolase [NSE]+, synaptophysin+, c-Kit+, cluster designation [CD]56+, epithelial membrane antigen [EMA]+, cytokeratin [CK]7-). High resolution-computed tomography (HRCT) revealed inactive pulmonary tuberculosis with small calcified tuberculoma in the right upper lobe. Sputum cytology was negative for malignancy. The postoperative course was uneventful, and platinum-based chemotherapy (cisplatin, etoposide) was initiated.

Adaptable and sensitive materials are essential for the development of advanced sensor systems such as bio and chemical sensors. Biomaterials can be used to develop multifunctional biosensor applications using genetic engineering. In particular, a plasmonic sensor system using a coupled film nanostructure with tunable gap sizes is a potential candidate in optical sensors because of its simple fabrication, stability, extensive tuning range, and sensitivity to small changes. Although this system has shown a good ability to eliminate humidity as an interferant, its performance in real-world environments is limited by low selectivity. To overcome these issues, we demonstrated the rapid response of gap plasmonic color sensors by utilizing metal nanostructures combined with genetically engineered M13 bacteriophages to detect volatile organic compounds (VOCs) and diagnose lung cancer from breath samples. The M13 bacteriophage was chosen as a recognition element because the structural protein capsid can readily be modified to target the desired analyte. Consequently, the VOCs from various functional groups were distinguished by using a multiarray biosensor based on a gap plasmonic color film observed by hierarchical cluster analysis. Furthermore, the lung cancer breath samples collected from 70 healthy participants and 50 lung cancer patients were successfully classified with a high rate of over 89% through supporting machine learning analysis.

Background: This study assessed the predictive value of receptor-interacting protein kinase 3 (RIPK3) expression and its correlation with clinicopathological characteristics, disease-free survival, and overall survival of patients with cisplatin-based adjuvant chemotherapy after lung adenocarcinoma resection. Methods: This study included 50 patients who underwent cisplatin-based adjuvant chemotherapy after lung adenocarcinoma (stage IB-IIIA) resection. Immunohistochemical analysis was performed by probing tumor tissue microarrays with anti-RIPK3 antibody. Results: High RIPK3 expression was detected in 24 (48.0%) of the 50 patients. Moreover, high RIPK3 expression was associated with a prolonged disease-free survival (P=0.015) but not with a prolonged overall survival (P=0.109) of the patients who underwent cisplatin doublet therapy after lung adenocarcinoma resection. We also examined whether RIPK3 expression was associated with prognosis based on chemotherapeutic response and found that patients with low RIPK3 expression showed a higher tendency of developing a progressive disease [14/26 (53.8%) patients] than patients with high RIPK3 expression [6/24 (25.0%) patients] (P=0.03). Results of Cox univariate proportional hazards regression model showed that age, N stage, and high RIPK3 expression (P=0.04) were associated with the prolonged disease-free survival of the patients who underwent cisplatin-based adjuvant chemotherapy after lung adenocarcinoma resection. Conclusions: These results suggest that RIPK3 overexpression is a potential biomarker to identify patients with lung adenocarcinoma who can benefit the most from cisplatin-based adjuvant chemotherapy after complete adenocarcinoma resection.

BackgroundPredicting how long a patient with far advanced cancer has to live is a significant part of hospice and palliative care. Various prognostic models have been developed, but have not been fully compared in South Korea.ObjectivesWe aimed to compare the accuracy of the Prognosis in Palliative Care Study (PiPS), Palliative Prognostic Index (PPI), Palliative Prognostic Score (PaP) and Objective Prognostic Score (OPS) for patients with far advanced cancer in a palliative care unit in South Korea.MethodsThis prospective study included patients with far advanced cancer who were admitted to a single palliative care unit at the National University Hospital. Variables for calculating the prognostic models were recorded by a palliative care physician. The survival rate was estimated using the Kaplan-Meier method. The sensitivity, specificity, positive predictive value and negative predictive value of each model were calculated.ResultsA total of 160 patients participated. There was a significant difference in survival rates across all groups, each categorised through the five prognostic models. The overall accuracy (OA) of the prognostic models ranged between 54.5% and 77.6%. The OA of clinicians’ predictions of survival ranged between 61.9% and 81.3%.ConclusionThe PiPS, PPI, PaP and OPS were successfully validated in a palliative care unit of South Korea. There was no difference in accuracy between the prognostic models, and OA tended to be lower than in previous studies.

Background: Many researchers have identified that adequate sleep duration is linked to the quality of life and metabolic diseases. Nowadays, it is hard to take enough sleep, so weekend catch-up sleep (CUS) may be an alternative option in modern society. To our knowledge, no previous studies reported the association between weekend CUS and metabolic syndrome, especially in the Korean population. Objective: We investigated the association between weekend CUS and the prevalence of metabolic syndrome in Korean adults (≥20 years old) with less than 6 hours of average weekday sleep. Patients and Methods: A total of 1,453 individuals were selected from the Korean National Health and Nutrition Examination Survey. Weekend CUS was divided into four categories: ≤0 hour, 0-1 hour, 1-2 hours, and ≥2 hours. Odds ratios (ORs) with 95% confidence intervals (CIs) were derived by univariate and multivariate logistic regression analyses. Results: Participants with weekend CUS ≥1 hour had decreased risk of metabolic syndrome in univariate analysis (CUS 1-2 hours: OR: 0.413, 95% CI: 0.301-0.568; CUS ≥2 hours: OR: 0.382, 95% CI 0.296-0.493). Weekend CUS 1-2 hours reduced the risk of metabolic syndrome in multivariate logistic regression analysis (OR: 0.552, 95% CI: 0.369-0.823). Based on the age group analysis, weekend CUS ≥1 hour reduced the metabolic syndrome among those aged 20-39 and 40-65 (20-39: CUS 1-2 hours OR: 0.248, 95% CI: 0.078-0.783, CUS ≥2 hours OR: 0.374, 95% CI: 0.141-0.991; 40-65: CUS 1-2 hours OR: 0.507, 95% CI 0.309-0.832 CUS ≥2 hours OR: 0.638, 95% CI: 0.415-0.981). Conclusion: Weekend CUS was associated with a low risk of metabolic syndrome among Korean adults with sleep restriction.