Succinylation-associated lncRNA signature to predict the prognosis of colon cancer based on integrative bioinformatics analysis

Abstract Colon cancer (CC) has a poor 5-year survival rate though the treatment techniques and strategies have been improved. Succinylation and long noncoding RNAs (lncRNAs) have prognostic value for CC patients. We analyzed and obtained succinylation-related lncRNA by co-expression in CC. A novel succinylation-related lncRNA model was developed by univariate and Least absolute shrinkage and selection operator (Lasso) regression analysis and we used principal component analysis (PCA), functional enrichment annotation, tumor immune environment, drug sensitivity and nomogram to verify the model, respectively. Six succinylation-related lncRNAs in our model were finally confirmed to distinguish the survival status of CC and showed statistically significant differences in training set, testing set, and entire set. The prognosis of with this model was associated with age, gender, M0 stage, N2 stage, T3 + T4 stage and Stage III + IV. The high-risk group showed a higher mutation rate than the low-risk group. We constructed a model to predict overall survival for 1-, 3-, and 5-year with AUCs of 0.694, 0.729, and 0.802, respectively. The high-risk group was sensitive to Cisplatin and Temozolomide compounds. Our study provided novel insights into the value of the succinylation-related lncRNA signature as a predictor of prognosis, which had high clinical application value in the future

Occupational burnout in nurses: a concept analysis†

This paper aims to clarify the concept of occupational burnout (OB) as well as develop appropriate methods to relieve or prevent OB in the nursing profession

Noninvasive assessment of response to neoadjuvant chemotherapy in osteosarcoma of long bones with diffusion-weighted imaging: an initial in vivo study.

OBJECTIVES: The purpose of our study is to investigate whether diffusion-weighted imaging (DWI) is useful for monitoring the therapeutic response after neoadjuvant chemotherapy in osteosarcoma of long bones. MATERIALS AND METHODS: Conventional magnetic resonance imaging (MRI) and DWI were obtained from 35 patients with histologically proven osteosarcomas. MR examinations were performed in all patients before and after 4 courses of preoperative neoadjuvant chemotherapy. Apparent diffusion coefficients (ADC) were measured. The degree of tumor necrosis was assessed macroscopically and histologically by two experienced pathologists after operation. Student's t test was performed for testing changes in ADC value. Pearson's correlation coefficient was used to estimate the correlation between necrosis rate and post- neoadjuvant chemotherapy ADC values. P<0.05 was considered to denote a significant difference. RESULTS: The difference of the whole osteosarcoma between pre- neoadjuvant chemotherapy ADC value (1.24±0.17×10(-3) mm(2)/s) and post- (1.93±0.39×10(-3) mm(2)/s) was significant difference (P<0.01). Regarding in patients with good response, the post- neoadjuvant chemotherapy values were significantly higher than the pre- neoadjuvant chemotherapy values (P<0.01). The post- neoadjuvant chemotherapy ADC value in patients with good response was higher than that of poor response (t = 8.995, P<0.01). The differences in post- neoadjuvant chemotherapy ADC between viable (1.03±0.17×10(-3) mm(2)/s) and necrotic (2.38±0.25×10(-3) mm(2)/s) tumor was highly significant (t = 23.905, P<0.01). A positive correlation between necrosis rates and the whole tumor ADC values (r = 0.769, P<0.01) was noted, but necrosis rates were not correlated with the ADC values of necrotic (r = -0.191, P = 0.272) and viable tumor areas (r = 0.292, P = 0.089). CONCLUSIONS: DWI can identify residual viable tumor tissues and tumor necrosis induced by neoadjuvant chemotherapy in osteosarcoma. The ADC value can directly reflect the degree of tumor necrosis, and it is useful to evaluate the preoperative neoadjuvant chemotherapy response in patients with osteosarcoma

Effects and Mechanisms of Jinniu Capsule on Methamphetamine-Induced Conditioned Place Preference in Rats

The aim of this study was to determine the effects of Jinniu Capsule on methamphetamine (METH)-induced conditioned place preference (CPP) in rats and identify the underlying mechanisms. An intraperitoneal injection of 3 mg/kg METH was used for CPP training in rats. The effects of Jinniu Capsule following a single dose on rat CPP and repeat dosing on METH withdrawal were evaluated. Western Blot analysis was used to measure protein expression of the PI3K-AKT-mTOR signaling pathway to determine the mechanisms of Jinniu Capsule. A single dose of Jinniu Capsule did not influence METH-induced CPP in rats. However, repeat dosing for 7 days significantly promoted METH withdrawal. Furthermore, METH withdrawal activated the PI3K-AKT-mTOR signaling pathway phosphorylation cascade, and Jinniu Capsule partly blocked this cascade. Jinniu Capsule demonstrated potential in promoting METH withdrawal in a rat CPP model, which may be related to its influence on the PI3K-AKT-mTOR signaling pathway

Correlation of ADC values of the whole osteosarcomas with necrosis rates after neoadjuvant chemotherapy.

<p>Correlation of ADC values of the whole osteosarcomas with necrosis rates after neoadjuvant chemotherapy.</p

Osteosarcoma of the distal femur in a 24-year-old man with good response.

<p>(<b>A∼C</b>) DWI map, ADC map and ADC histogram before neoadjuvant chemotherapy. The signal intensity of tumor on DWI map was high. The ADC value of the whole tumor was 1.12×10⁻³ mm²/s with a green area. The ADC histogram was high and sharp. (<b>D∼F</b>) DWI map, ADC map and ADC histogram after neoadjuvant chemotherapy. The signal intensity of tumor on DWI map was decreased. The ADC value of the whole tumor was increased to 1.99×10⁻³ mm²/s with a subtotal red area. The ADC histogram was short, wide and moving to the right of the coordinate. Tumor necrosis rate of 92% was confirmed by postoperative pathological evaluation. The effectiveness of neoadjuvant chemotherapy was good.</p

Mean ADC values of whole tumor at pre- and post-chemotherapy (×10⁻³ mm²/s).

<p>Mean ADC values of whole tumor at pre- and post-chemotherapy (×10⁻³ mm²/s).</p

Osteosarcoma of the distal femur in a 46-year-old woman with poor response.

<p>(<b>A∼C</b>) DWI map, ADC map and ADC histogram before neoadjuvant chemotherapy. The tumor on DWI map was mixed high signal intensity. The ADC value of the whole tumor was 1.35×10⁻³ mm²/s with a subtotal green area. The ADC histogram was high and sharp. (<b>D∼F</b>) DWI map, ADC map and ADC histogram after neoadjuvant chemotherapy. The tumor on DWI map was mixed signal intensity. The ADC value of the whole tumor (1.31×10⁻³ mm²/s) and the ADC histogram were similar to those of pre- neoadjuvant chemotherapy. Tumor necrosis rate of 20% was confirmed by postoperative pathological evaluation. The effectiveness of neoadjuvant chemotherapy was poor.</p

Tumor size and volume at pre- and post-chemotherapy.

<p>Tumor size and volume at pre- and post-chemotherapy.</p

Genome-Wide Identification, Characterization, and Stress-Responsive Expression Profiling of Genes Encoding LEA (Late Embryogenesis Abundant) Proteins in Moso Bamboo (<i>Phyllostachys edulis</i>)

<div><p>Late embryogenesis abundant (LEA) proteins have been identified in a wide range of organisms and are believed to play a role in the adaptation of plants to stress conditions. In this study, we performed genome-wide identification of LEA proteins and their coding genes in Moso bamboo (<i>Phyllostachys edulis</i>) of Poaceae. A total of 23 genes encoding LEA proteins (PeLEAs) were found in <i>P</i>. <i>edulis</i> that could be classified to six groups based on Pfam protein family and homologous analysis. Further <i>in silico</i> analyses of the structures, gene amount, and biochemical characteristics were conducted and compared with those of <i>O</i>. <i>sativa</i> (OsLEAs), <i>B</i>. <i>distachyon</i> (BdLEAs), <i>Z</i>. <i>mays</i> (ZmLEAs), <i>S</i>. <i>bicolor</i> (SbLEAs), <i>Arabidopsis</i>, and <i>Populus trichocarpa</i>. The less number of PeLEAs was found. Evolutionary analysis revealed orthologous relationship and colinearity between <i>P</i>. <i>edulis</i>, <i>O</i>. <i>sativa</i>, <i>B</i>. <i>distachyon</i>, <i>Z</i>. <i>mays</i>, and <i>S</i>. <i>bicolor</i>. Analyses of the non-synonymous (Ka) and synonymous (Ks)substitution rates and their ratios indicated that the duplication of <i>PeLEAs</i> may have occurred around 18.8 million years ago (MYA), and divergence time of LEA family among the <i>P</i>. <i>edulis</i>-<i>O</i>. <i>sativa</i> and <i>P</i>. <i>edulis</i>–<i>B</i>. <i>distachyon</i>, <i>P</i>. <i>edulis-S</i>. <i>bicolor</i>, and <i>P</i>. <i>edulis-Z</i>. <i>mays</i> was approximately 30 MYA, 36 MYA, 48 MYA, and 53 MYA, respectively. Almost all <i>PeLEAs</i> contain ABA- and (or) stress-responsive regulatory elements. Further RNA-seq analysis revealed approximately 78% of <i>PeLEAs</i> could be up-regulated by dehydration and cold stresses. The present study makes insights into the LEA family in <i>P</i>. <i>edulis</i> and provides inventory of stress-responsive genes for further functional validation and transgenic research aiming to plant genetic improvement of abiotic stress tolerance.</p></div