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Background: We screened long non-coding RNAs (lncRNAs) specifically expressed in the serum of cervical squamous carcinoma (CESC) patient samples and investigated the role of these specific lncRNAs in the diagnosis of CESC and cervical intraepithelial neoplasia (CIN). Methods: The expression levels of the lncRNAs CCAT2, LINC01133, and LINC00511 in the serum of normal controls and patient with CESC and CIN were measured using reverse transcription–quantitative polymerase chain reaction (RT-qPCR). Next, we analyzed the correlation between the serum lncRNAs levels and the clinical characteristics of CESC. Thereafter, we estimated their combined diagnostic value by receiver operating characteristic (ROC) curve analysis. Results: The results showed that CCAT2, LINC01133, and LINC00511 were highly expressed in the serum of patients with CESC. When these lncRNAs and squamous cell carcinoma (SCC) antigen were combined, the area under the ROC curve (AUC) value reached 0.94. We also found that the AUC value of the diagnostic model combining CCAT2 and LINC01133 reached 0.894. Conclusion: The serum lncRNAs (CCAT2, LINC01133, and LINC00511) and SCC may be new non-invasive biomarkers for the diagnosis of CESC. [ABSTRACT FROM AUTHOR]

Background: In China, stomach cancer is the third most common cancer and the third leading cause of cancer death. Few studies have examined Chinese stomach cancer patients' medical expenses and their associated trends. The Cancer Screening Program in Urban China (CanSPUC) is a Major Public Health Project funded by the central government. Through this project, we have extracted patients' medical expenses from hospital billing data to examine the costs of the first course treatments (which refers to 2 months before and 10 months after the date of cancer diagnosis) in Chinese patients with stomach cancer and the associated trends.Methods: The expense data of 14,692 urban Chinese patients with stomach cancer were collected from 40 hospitals in 13 provinces. We estimated the inflation-adjusted medical expenses per patient during 2002-2011. We described the time trends of medical expenses at the country-level, and those trends by subgroup, and analyzed the compositions of medical expenses. We constructed the Generalized Linear Mixed (GLM) regression model with Poisson distribution to examine the factors that were associated with medical expenses per patient.Results: The average medical expenses of the first course treatments were about 43,249 CNY (6851 USD) in 2011, more than twice of that in 2002. The expenses increased by an average annual rate of 7.4%. Longer stay during hospitalization and an increased number of episodes of care are the two main contributors to the expense increase. The upward trend of medical expenses was observed in almost all patient subgroups. Drug expenses accounted for over half of the medical expenses.Conclusions: The average medical expenses of the first course (2 months before and 10 months after the date of cancer diagnosis) treatments per stomach cancer patient in urban China in 2011 were doubled during the previous 10 years, and about twice as high as the per capita disposable income of urban households in the same year. Such high expenses indicate that it makes economic sense to invest in cancer prevention and control in China. [ABSTRACT FROM AUTHOR]

Objective: This study aims to understand the medical expenditure for liver cancer during 2002-2011 in urban areas of China.Materials and Methods: This is a retrospective study. Based on a stratified cluster sampling method, a medical expenditure survey collected basic personal information from related medical records. Two-tailed independent sample t-test, variance analysis, and Student-Newman-Keuls Tests were used in cost analysis for the corresponding data types.Results: A total of 12,342 liver cancer patients were included in the analysis. Overall average medical expenditure per case for liver cancer diagnosis and treatment in China has increased from ¥21, 950 to ¥40, 386 over the study period. For each liver cancer patient diagnosed between 2009 and 2011, the average expenditures were 29,332 CNY for stage I, 35,754 CNY for stage II, 34,288 CNY for stage III, and 30,275 CNY for stage IV diseases (P < 0.001). Pharmaceuticals accounted for the biggest part of the medical expenditure and it rose from 48.01% to 52.96% during these ten years, and the share of nursing fee expenses was the lowest (around 1%). Over the entire 10-year data period, the per capita expenditure of the east region (32,983 CNY) was higher than that of the west region (26,219 CNY) and slightly higher than the central region (31,018 CNY, P < 0.001).Discussion: As a major cancer in China, liver cancer accounts for a large portion of health economic burden and its medical expenditure is heavy for families. Early diagnosis and treatment for liver cancer will save medical expenditure.Conclusion: The economic burden of liver cancer is high in China and related medical expenditure has increased. [ABSTRACT FROM AUTHOR]

Aims Early non-small cell lung cancer (NSCLC) diagnosis is generally poor due to the lack of convenient and noninvasive tools. MicroRNAs (miRNAs) and the long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) are non-coding RNAs, that have attracted increased attention for their use as NSCLC tumor diagnostic markers. Main methods: We constructed a serum miRNA and MALAT1 non-coding RNA panel and tested its diagnostic performance as an NSCLC biomarker. We tested the expression of 11 candidate miRNAs and MALAT1 in a training set (36 NSCLCs vs. 36 controls) by quantitative reverse transcription polymerase chain reactions. The serum non-coding RNA panel's diagnostic efficiency was tested and validated in a second validation sample set (120 NSCLCs and 71 controls) by receiver operating characteristic (ROC) curve analyses. Key findings In the training set, the expression of the four non-coding RNAs (miR-1254, miR-485-5p, miR-574-5p, and MALAT1) was obviously different between the NSCLC patients and healthy controls. Risk score analysis revealed that the four non-coding RNA panel can distinguish NSCLC patient samples from controls. The ROC curve results revealed areas under the curves (AUCs) of 0.861 (95% confidence interval (CI) 0.771–0.952) and 0.844 (95% CI0.778–0.910) for the training set and validation set, respectively. Significance The four non-coding RNA risk scores were also associated with NSCLC progression, and its diagnostic efficiency was relatively high for stages I/II/III. In conclusion, these data indicate that the four non-coding RNA panel can serve as a convenient tool for early NSCLC diagnosis. [ABSTRACT FROM AUTHOR]