Supplemental Material - Recent Estimates and Predictions of 5-Year Survival in Patients with Gastric Cancer: A Model-Based Period Analysis

Supplemental Material for Recent Estimates and Predictions of 5-Year Survival in Patients with Gastric Cancer: A Model-Based Period Analysis by Yunmei Li, Aozi Feng, Shuai Zheng, Chong Chen, and Jun Lyu in Cancer Control</p

Data_Sheet_1_Recent estimates and predictions of 5-year survival rate in patients with pancreatic cancer: A model-based period analysis.pdf

BackgroundThe 5-year survival rate for pancreatic cancer (PC) is incredibly low, resulting in this often being a fatal disease. Timely and accurate assessment of the survival rate and prognosis of patients with PC is of great significance for the development of new programs for prevention, monitoring, and treatment.MethodsPeriod analysis and further stratified analysis were used to determine the 5-year relative survival rate (RSR) of patients with PC from 2002 to 2016 using the Surveillance, Epidemiology, and End Results (SEER) project database of the National Cancer Institute. Based on this, a generalized linear model was created to predict the survival rate of patients from 2017 to 2021.ResultDuring 2002–2016, the 5-year RSR of patients with PC increased from 7.9 to 23.7%. The generalized linear model predicted that the survival rate had increased to 33.9% during 2017–2021, and hence, it was still unacceptably low. The survival rate of patients aged ≥75 years at diagnosis was the lowest among all age groups and was predicted to be only 21.4% during 2017–2021. Notably, the survival rate of patients with differentiation grade III at diagnosis remains particularly low at 7.6%.ConclusionThe survival rates of patients with PC, although slightly improved, remain extremely low. Timely assessment of the trend of survival rate changes in patients with PC further improves the prognosis of tumor patients and provides data support for relevant medical works to formulate effective tumor prevention and control policies.</p

Enhancer of zeste homolog 2 promotes hepatocellular cancer progression and chemoresistance by enhancing protein kinase B activation through microRNA-381-mediated SET domain bifurcated 1

Metastasis and chemoresistance are the leading causes of death in patients with hepatocellular carcinoma (HCC). microRNAs (miRNAs or miRs) may be useful as diagnostic, therapeutic and prognostic markers for HCC. In this study, we set out to investigate the possible role of miR-381 in HCC development and chemoresistance along with the related mechanism. Microarray-based gene expression profiling was carried out to analyze the expression of SET domain bifurcated 1 (SETDB1) and histone methyltransferase enhancer of zeste homolog 2 (EZH2) followed by validation in clinical HCC tissues and cells. The potential binding between miR-381 and SETDB1 was found and verified. Then, the role of SETDB1 in HCC in relation to miR-381 and protein kinase B (AKT) pathway was explored through gain- and loss-of-function approaches. After expression determination of EZH2, SETDB1, miR-381, and AKT pathway-related factors, their reactions were analyzed and their functional roles in HCC progression and chemoresistance were investigated in vitro and in vivo. SETDB1 was aberrantly upregulated in clinical HCC tissues and cells. This upregulation activated AKT pathway by promoting its tri-methylation on K64. SETDB1 promoted the proliferation, migration and chemoresistance through the AKT pathway in HCC cells. In a xenograft mouse model, SETDB1 promoted HCC cell tumorigenesis in vivo by activating the AKT pathway. Furthermore, EZH2 suppressed miR-381 by catalyzing the activity of H3K27me3 on its promoter region. In conclusion, EZH2 suppressed miR-381 expression by promoting H3K27me3 activity on its promoter region to facilitate SETDB1 expression, thereby activating the AKT pathway to promote hepatocarcinogenesis and chemoresistance.</p

Unadjusted and adjusted odds ratios for in-hospital MACE (N = 187).

Unadjusted and adjusted odds ratios for in-hospital MACE (N = 187).</p

Additional file 1: of Comparison of outcomes in emergency department patients with suspected cardiac chest pain: two-centre prospective observational study in Southern China

Definition of HEART score [29]: There were five elements: history, ECG, age,risk factors and troponin in HEART score. Each variable was scored as 0, 1 or 2 points. Each patient will receive a score of 1-10. (DOCX 32 kb

Comparison of characteristics of STEMI patients in Killip class I and Killip class ≥II.

<p>Comparison of characteristics of STEMI patients in Killip class I and Killip class ≥II.</p

The Comparison of in-hospital and one-year all-cause mortality in STEMI patients with and without reperfusion therapy.

<p>The Comparison of in-hospital and one-year all-cause mortality in STEMI patients with and without reperfusion therapy.</p

Distribution of land use cover in the 40 km radius from 1980 to 2010.

<p>Distribution of land use cover in the 40 km radius from 1980 to 2010.</p

Relationship between grain size and environmental indices.

<p>The environmental indices include TN, TP, and TOC, and the grain size includes clay (<4μm), fine-grained sand (4–16μm), and coarse-grained sand (16–64μm).</p