No abstract

Autoantibodies against tumor-associated antigens (TAAs) are attractive non-invasive biomarkers for detection of cancer due to their inherently stable in serum. Serum autoantibodies against 9 TAAs from gastric cancer (GC) patients and healthy controls were measured by enzyme-linked immunosorbent assay (ELISA). A logistic regression model predicting the risk of being diagnosed with GC in the training cohort (n = 558) was generated and then validated in an independent cohort (n = 372). Area under the receiver operating characteristic curve (AUC) was used to assess the diagnostic performance. Finally, an optimal prediction model with 6 TAAs (p62, c-Myc, NPM1, 14-3-3ξ, MDM2 and p16) showed a great diagnostic performance of GC with AUC of 0.841 in the training cohort and 0.856 in the validation cohort. The proportion of subjects being correctly defined were 78.49% in the training cohort and 81.99% in the validation cohort. This prediction model could also differentiate early-stage (stage I-II) GC patients from healthy controls with sensitivity/specificity of 76.60%/72.34% and 80.56%/79.17% in the training and validation cohort, respectively, and the overall sensitivity/specificity for early-stage GC were 78.92%/74.70% when being combined with two cohorts. This prediction model presented no significant difference for the diagnostic accuracy between early-stage and late-stage (stage III - IV) GC patients. The model with 6 TAAs showed a high diagnostic performance for GC detection, particularly for early-stage GC. This study further supported the hypothesis that a customized array of multiple TAAs was able to enhance autoantibody detection in the immunodiagnosis of GC.

The 30-year normalized-difference vegetation index (NDVI) time series from AVHRR/MODIS satellite sensors was used in this study to assess the regional vegetation dynamic changes in the Tao River Basin, which cuts across the Eastern Tibetan Plateau (ETP) and the Southwestern Loess Plateau (SLP). First, principal component and correlation analyses were carried out to determine the key climatic variables driving ecological change in the region. Then, regression models were tested to correlate NDVI with the selected climatic variables to determine their predictive power. Finally, Sen's slope method was used to determine how terrestrial vegetation has responded to regional climate change in the region. The results indicated an average winter season NDVI value of 0.14 in the ETP but only 0.04 in the SLP. Primarily driven by increasing temperature, vegetation growth has generally been enhanced since 1981; spring NDVI increased by 0.03 every 10 years in the ETP and 0.02 in the SLP. Further, results from trend analyses suggest vegetation growth in the ETP shifted to earlier-start and earlier-end dates, however in the SLP, the growing season has been extended with an earlier-start and later-end date. The precipitation threshold for vegetation germination, measured by the cumulative spring rainfall, was found to be 44 mm for both the ETP and SLP.

The incidence of primary metastatic breast cancer (PMBC) has not decreased despite the increasing popularity of mammography screening and data on the survival among these patients are limited. Therefore, we conducted an extensive population-based study to investigate the factors influencing the survival of patients with PMBC. We identified 14,306 patients with de novo stage-IV breast cancer using the Surveillance, Epidemiology, and End Results data from 2010 to 2015. The overall survival (OS) time and breast cancer-specific survival (BCSS) time were compared by the Kaplan-Meier method. Univariate and multivariate analyses were performed to determine the effect of different prognostic factors. Patients with hormone receptor positive/human epidermal growth factor receptor 2 positive showed the longest median survival time in OS (39 months) and BCSS (43 months), and those with triple negative exhibited the shortest in OS (11 months) and BCSS (12 months). We concluded that patients who had undergone primary tumor surgery had better survival than those who did not. The incidence of distant visceral metastasis in the whole cohort was as follows: bone, lung, liver, and brain. This study also substantiated that patients with only brain metastasis had poorer survival than patients with metastasis at multiple sites metastasis, not including brain metastasis ( P < .0001). This study confirmed that molecular subtypes, metastatic site and primary tumor surgery were associated with the survival of PMBC patients.